diff --git a/.github/workflows/cdci.yml b/.github/workflows/cdci.yml index 3801537..9e3b98b 100644 --- a/.github/workflows/cdci.yml +++ b/.github/workflows/cdci.yml @@ -33,7 +33,8 @@ jobs: - name: Execute streamlit report run: | cd docs - vuegen --config example_data/MicW2Graph/report_config_micw2graph.yaml + vuegen --directory example_data/Earth_microbiome_vuegen_demo_notebook + vuegen --config example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml other-reports: name: Integration tests @@ -56,33 +57,41 @@ jobs: - name: Execute streamlit report (to check) run: | cd docs - vuegen -c example_data/MicW2Graph/report_config_micw2graph.yaml + vuegen -dir example_data/Earth_microbiome_vuegen_demo_notebook + vuegen -c example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml # repeat for easier inspection on GitHub: - name: quarto html report run: | cd docs - vuegen -c example_data/MicW2Graph/report_config_micw2graph.yaml -rt html + vuegen -dir example_data/Earth_microbiome_vuegen_demo_notebook -rt html + vuegen -c example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml -rt html - name: quarto pdf report run: | cd docs - vuegen -c example_data/MicW2Graph/report_config_micw2graph.yaml -rt pdf + vuegen -dir example_data/Earth_microbiome_vuegen_demo_notebook -rt pdf + vuegen -c example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml -rt pdf - name: quarto docx report run: | cd docs - vuegen -c example_data/MicW2Graph/report_config_micw2graph.yaml -rt docx + vuegen -dir example_data/Earth_microbiome_vuegen_demo_notebook -rt docx + vuegen -c example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml -rt docx - name: quarto odt report run: | cd docs - vuegen -c example_data/MicW2Graph/report_config_micw2graph.yaml -rt odt + vuegen -dir example_data/Earth_microbiome_vuegen_demo_notebook -rt odt + vuegen -c example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml -rt odt - name: quarto revealjs report run: | cd docs - vuegen -c example_data/MicW2Graph/report_config_micw2graph.yaml -rt revealjs + vuegen -dir example_data/Earth_microbiome_vuegen_demo_notebook -rt revealjs + vuegen -c example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml -rt revealjs - name: quarto pptx report run: | cd docs - vuegen -c example_data/MicW2Graph/report_config_micw2graph.yaml -rt pptx + vuegen -dir example_data/Earth_microbiome_vuegen_demo_notebook -rt pptx + vuegen -c example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml -rt pptx - name: quarto jupyter report run: | cd docs - vuegen -c example_data/MicW2Graph/report_config_micw2graph.yaml -rt jupyter + vuegen -dir example_data/Earth_microbiome_vuegen_demo_notebook -rt jupyter + vuegen -c example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml -rt jupyter diff --git a/.gitignore b/.gitignore index 3fc1d0b..b05281e 100644 --- a/.gitignore +++ b/.gitignore @@ -127,7 +127,4 @@ docs/images/UML_diagrams/ docs/images/Graphical_abstract/ docs/images/Nfcore_module_figure docs/presentations/ -test.py -docs/example_data/Earth_microbiome_vuegen_demo_notebook/ -docs/example_data/emp_deblur_100bp.subset_2k.rare_5000.biom -docs/vuegen_case_study_earth_microbiome.ipynb \ No newline at end of file +test.py \ No newline at end of file diff --git a/README.md b/README.md index f1c5d96..3bd03b1 100644 --- a/README.md +++ b/README.md @@ -11,10 +11,13 @@ - [About the project](#about-the-project) - [Installation](#installation) - [Execution](#execution) +- [Acknowledgements](#acknowledgements) - [Contact](#contact) ## About the project -VueGen automates the creation of scientific reports based on a YAML configuration file. This configuration file specifies the structure of the report, including sections, subsections, and various components such as plots, dataframes, markdown, and API calls. Reports can be generated in various formats, including documents (PDF, HTML, DOCX, ODT), presentations (PPTX, Reveal.js), notebooks (Jupyter) or [Streamlit](streamlit) web applications. +VueGen automates the creation of reports based on a directory with plots, dataframes, and other files in different formats. A YAML configuration file is generated from the directory to define the structure of the report. Users can customize the report by modifying the configuration file, or they can create their own configuration file instead of passing a directory as input. + +The configuration file specifies the structure of the report, including sections, subsections, and various components such as plots, dataframes, markdown, html, and API calls. Reports can be generated in various formats, including documents (PDF, HTML, DOCX, ODT), presentations (PPTX, Reveal.js), notebooks (Jupyter) or [Streamlit](streamlit) web applications. An overview of the VueGen workflow is shown in the figure below: @@ -41,7 +44,7 @@ You can install the package for development from this repository by running the ```bash pip install -e path/to/vuegen # specify location -pip install -e . # in case you pwd is in the vuegen directory +pip install -e . # in case your pwd is in the vuegen directory ``` ### Quarto installation @@ -67,27 +70,39 @@ quarto check ## Execution -Run VueGen using a configuration file with the following command: +Run VueGen using a directory with the following command: ```bash cd docs -vuegen --config example_data/MicW2Graph/report_config_micw2graph.yaml --report_type streamlit +vuegen --directory example_data/Earth_microbiome_vuegen_demo_notebook --report_type streamlit ``` > 💡 If `vuegen` does not work, try `python -m vuegen` instead. By default, the `streamlit_autorun` argument is set to False, but you can use it in case you want to automatically run the streamlit app. -It's also possible to provide a directory instead of a configuration file: +It's also possible to provide a configuration file instead of a directory: ```bash -vuegen --directory docs/example_data/MicW2Graph/ --report_type streamlit +vuegen --config example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml --report_type streamlit ``` The current report types are streamlit, html, pdf, docx, odt, revealjs, pptx, and jupyter. +## Acknowledgements + +- Vuegen was developed by the [Multiomics Network Analytics Group (MoNA)][Mona] at the [Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain)][Biosustain]. +- The vuegen logo was designed based on an image created by [Scriberia][scriberia] for The [Turing Way Community][turingway], which is shared under a CC-BY licence. The original image can be found at [Zenodo][zenodo-turingway]. + ## Contact If you have comments or suggestions about this project, you can [open an issue][issues] in this repository. [issues]: https://github.com/Multiomics-Analytics-Group/vuegen/issues/new [streamlit]: https://streamlit.io/ +[Mona]: https://multiomics-analytics-group.github.io/ +[Biosustain]: https://www.biosustain.dtu.dk/ +[scriberia]: https://www.scriberia.co.uk/ +[turingway]: https://github.com/the-turing-way/the-turing-way +[zenodo-turingway]: https://zenodo.org/records/3695300 + + diff --git a/docs/example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/1_metadata_random_subset.csv b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/1_metadata_random_subset.csv new file mode 100644 index 0000000..1f3f5c0 --- /dev/null +++ b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/1_metadata_random_subset.csv @@ -0,0 +1,101 @@ +#SampleID,BarcodeSequence,LinkerPrimerSequence,Description,host_subject_id,study_id,title,principal_investigator,doi,ebi_accession,target_gene,target_subfragment,pcr_primers,illumina_technology,extraction_center,run_center,run_date,read_length_bp,sequences_split_libraries,observations_closed_ref_greengenes,observations_closed_ref_silva,observations_open_ref_greengenes,observations_deblur_90bp,observations_deblur_100bp,observations_deblur_150bp,emp_release1,qc_filtered,subset_10k,subset_5k,subset_2k,sample_taxid,sample_scientific_name,host_taxid,host_common_name_provided,host_common_name,host_scientific_name,host_superkingdom,host_kingdom,host_phylum,host_class,host_order,host_family,host_genus,host_species,collection_timestamp,country,latitude_deg,longitude_deg,depth_m,altitude_m,elevation_m,env_biome,env_feature,env_material,envo_biome_0,envo_biome_1,envo_biome_2,envo_biome_3,envo_biome_4,envo_biome_5,empo_0,empo_1,empo_2,empo_3,adiv_observed_otus,adiv_chao1,adiv_shannon,adiv_faith_pd,temperature_deg_c,ph,salinity_psu,oxygen_mg_per_l,phosphate_umol_per_l,ammonium_umol_per_l,nitrate_umol_per_l,sulfate_umol_per_l +1056.Mel.urs.ino.SanDi.1,CGATAGGCCTTA,GTGCCAGCMGCCGCGGTAA ,fecal sample from Sri Lankan sloth bear,1056:Mel.urs.ino.SanDi.1,1056,Convergence of gut microbiomes in myrmecophagous mammals,Frederic Delsuc,10.1111/mec.12501,ERP003782,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,MiSeq,CCME-Boulder,CCME,10/9/12,151,19043,17318.0,17597.0,18497.0,13608.0,13265.0,10851.0,True,True,True,True,True,749906,gut metagenome,9636.0,Sri Lankan sloth bear,sloth bear,Melursus ursinus,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Carnivora,f__Ursidae,g__Melursus,s__Melursus_ursinus,2012-08-03,GAZ:United States of America,32.78,-117.07,0.0,0.0,72.0,terrestrial biome,animal-associated habitat,feces,biome,terrestrial biome,,,,,EMP sample,Host-associated,Animal,Animal distal gut,173.0,208.775,4.013517455372459,22.3702319275035,,,,,,,, +1036.P.N.14.2.s.4.1.sequences,GGTTCCATTAGG,GTGCCAGCMGCCGCGGTAA,soil metagenome P_N_14_2,XXQIITAXX,1036,Microbial communities of the deep unfrozen: Do microbes in taliks increase permafrost carbon vulnerability?,Jenni Hultman,10.1038/ismej.2011.163*,ERP016588,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,100,201124,165896.0,171547.0,198921.0,107368.0,77423.0,0.0,True,True,True,False,False,410658,soil metagenome,,,,,,,,,,,,,2009-04-01,GAZ:United States of America,64.49,-157.75,0.7,0.0,593.0,tundra biome,permafrost,soil,biome,terrestrial biome,tundra biome,,,,EMP sample,Free-living,Non-saline,Soil (non-saline),481.0,706.8571428571429,6.932894065173771,56.33759368985107,,6.2,,,,,, +1034.CHI7,CTGAAGGGCGAA,GTGCCAGCMGCCGCGGTAA,"soil metagenome, AB",CHI7,1034,Distinct microbial communities associated with buried soils in the Siberian tundra,Antje Gittel,10.1038/ismej.2013.219,ERP016735,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,8/28/12,100,94168,74417.0,77196.0,92153.0,46391.0,46128.0,0.0,True,True,False,False,False,410658,soil metagenome,,,,,,,,,,,,,2011-08-10,GAZ:Russia,68.74792,161.60118,,0.0,315.0,tundra biome,tundra,soil,biome,terrestrial biome,tundra biome,,,,EMP sample,Free-living,Non-saline,Soil (non-saline),1087.0,1704.9469026548672,8.403611513450045,90.60202081520796,,5.46,,,,,, +550.L2S59.s.2.sequence,GTCACGACTATT,GTGCCAGCMGCCGCGGTAA,sample_706 stool,M3,550,Moving pictures of the human microbiome,Rob Knight,10.1186/gb-2011-12-5-r50,ERP021896,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CGS-GL,8/27/10,132,28372,27657.0,27815.0,28354.0,22573.0,22442.0,222.0,True,True,False,False,False,408170,human gut metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2009-10-25,GAZ:United States of America,40.015,-105.271,0.0,0.0,1624.1,urban biome,human-associated habitat,feces,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal distal gut,113.0,183.9090909090909,3.3579914728957614,12.899118227483,,,,,,,, +1736.W4.0411,ATGCCGGTAATA,GTGCCAGCMGCCGCGGTAA,Fecal sample taken from cape buffalo W4,W4,1736,African buffalo gut microbiome,Vanessa Ezenwa,Missing: Not provided,ERP016483,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,12/17/12,100,8,4.0,4.0,7.0,0.0,0.0,0.0,True,False,False,False,False,506599,bovine gut metagenome,37445.0,,Cape buffalo,Syncerus caffer caffer,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Bovidae,g__Syncerus,s__Syncerus_caffer,2011-04-22,GAZ:South Africa,-23.82,31.44,0.0,0.0,300.0,rangeland biome,animal-associated habitat,feces,biome,terrestrial biome,anthropogenic terrestrial biome,rangeland biome,,,EMP sample,Host-associated,Animal,Animal distal gut,,,,,,,,,,,, +1288.NSB27sep08H.McMahon.Pool.3.and.1percentPhiX.110310.HWUSI.EAS552R.0357.s.3.1.sequence,GTCAACGCTGTC,GTGCCAGCMGCCGCGGTAA,freshwater metagenome NSB27sep08H,XXQIITAXX,1288,Bacterial community spatial and temporal variation in a north temperate bog lake,Katherine McMahon,Missing: Not provided,ERP016854,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,3/10/11,150,30098,19677.0,24693.0,29970.0,20310.0,20023.0,9240.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2008-09-27,GAZ:United States of America,37.09,-95.71,3.5,0.0,256.05,Small lake biome,freshwater lake,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),229.0,291.81395348837214,5.296177269289571,35.82135817664621,17.23,,,,,,, +1064.G.CV329,ACTACCTCTTCA,GTGCCAGCMGCCGCGGTAA,"Whole intestine tissue, with food content.",G-CV329,1064,Microbiome of honey bees from Puerto Rico,MG Dominguez-Bello,Missing: Not provided,ERP016607,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,MiSeq,ANL-Chicago,CCME,2013,151,33218,29003.0,31978.0,32737.0,26152.0,25750.0,22089.0,True,True,True,True,False,749906,gut metagenome,7460.0,honey bee,honey bee,Apis mellifera,sk__Eukaryota,k__Metazoa,p__Arthropoda,c__Insecta,o__Hymenoptera,f__Apidae,g__Apis,s__Apis_mellifera,2011-07-11,GAZ:Puerto Rico,18.22,-65.99,0.0,0.0,43.1,village biome,insecta-associated habitat,organic material,biome,terrestrial biome,anthropogenic terrestrial biome,village biome,,,EMP sample,Host-associated,Animal,Animal corpus,12.0,12.0,2.496531615705535,3.49076791373,,,,,,,, +1736.B40b.1210,AACGTAGGCTCT,GTGCCAGCMGCCGCGGTAA,Fecal sample taken from cape buffalo B40b,B40b,1736,African buffalo gut microbiome,Vanessa Ezenwa,Missing: Not provided,ERP016483,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,12/17/12,100,166637,140974.0,143389.0,165787.0,89050.0,89622.0,0.0,True,True,False,False,False,506599,bovine gut metagenome,37445.0,,Cape buffalo,Syncerus caffer caffer,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Bovidae,g__Syncerus,s__Syncerus_caffer,2010-12-03,GAZ:South Africa,-23.82,31.44,0.0,0.0,300.0,rangeland biome,animal-associated habitat,feces,biome,terrestrial biome,anthropogenic terrestrial biome,rangeland biome,,,EMP sample,Host-associated,Animal,Animal distal gut,396.0,527.3559322033898,6.484739750473773,37.945503927718,,,,,,,, +945.P5.D7.lane2.NoIndex.L002,GTAATGCGTAAC,GTGCCAGCMGCCGCGGTAA,"freshwater metagenome, Lake Stechlin",P5.D7,945,Long-term seasonal development in selected lakes of northeast Germany,Hans-Peter Grossart,Missing: Not provided,ERP022245,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2012,150,79275,57092.0,62256.0,78428.0,52141.0,51826.0,35053.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2011-03-22,GAZ:Germany,53.167,13.033,40.0,0.0,88.35,Large lake biome,freshwater lake,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Large lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),580.0,884.4210526315788,7.3010790568244275,70.72407438953508,2.9,8.22,,13.0,,,, +2382.SH004.C1.RH.3.215.r1.gp.9.11.lane8.NoIndex.L008.sequences,GCATTCGGCGTT,GTGCCAGCMGCCGCGGTAA,Grapes,HS4,2382,The soil microbiome influences grapevine-associated microbiota (HiSeq),Jack Gilbert,10.1128/mBio.02527-14,ERP006348,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,4/23/13,150,231855,230489.0,229759.0,231740.0,169770.0,166259.0,146977.0,True,True,True,True,True,410658,soil metagenome,,,,,,,,,,,,,2011-09-13,GAZ:United States of America,41.01508,-72.52853,,0.0,3.0,cropland biome,vineyard,organic material,biome,terrestrial biome,anthropogenic terrestrial biome,cropland biome,,,EMP sample,Host-associated,Plant,Plant corpus,6.0,7.0,0.0184211558872188,3.1590583656299995,,,,,,,, +678.T.RFLP.Sample.697,AGAGTGCTAATC,GTGCCAGCMGCCGCGGTAA,Sediment DNA extracted from T-RFLP heterogeneity study,697,678,Bioturbating shrimp alter the structure and diversity of bacterial communities in coastal marine sediments,Bonnie Laverock,10.1038/ismej.2010.86,ERP017221,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,11/3/10,143,45404,26365.0,28269.0,44188.0,19005.0,19365.0,7774.0,True,True,True,False,False,412755,marine sediment metagenome,,,,,,,,,,,,,2012-06-08,GAZ:England,50.338,-4.148,6.0,0.0,0.0,marine biome,neritic zone,marine sediment,biome,aquatic biome,marine biome,,,,EMP sample,Free-living,Saline,Sediment (saline),1521.0,2468.350724637681,9.092302074947234,144.76076986393502,,,,,,,, +1883.2011.528.Crump.Artic.LTREB.main.lane4.NoIndex,CAACACATGCTG,GTGCCAGCMGCCGCGGTAA,river delta sediment,XXQIITAXX,1883,Microbial diversity in arctic freshwaters is structured by inoculation of microbes from soils,Byron Crump,10.1038/ismej.2012.9,ERP017459,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/1/14,138,80219,57644.0,61697.0,77612.0,38006.0,38617.0,4940.0,True,True,True,True,False,412755,marine sediment metagenome,,,,,,,,,,,,,2011-01-01,GAZ:United States of America,70.07584,-144.08354,0.015,0.0,0.0,Large river biome,coastal water body,marine sediment,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Free-living,Saline,Sediment (saline),973.0,1167.220588235294,8.917272139480625,95.83868397171624,,,,,,,, +1521.EB141.s.6.1.sequences,ATGCCTGAGCAG,GTGCCAGCMGCCGCGGTAA,soil metagenome EB141,,1521,Samples presented at EMP conference June 2011 Shenzhen,Rob Knight,Missing: Not provided,ERP023684,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,5/20/11,90,286775,225835.0,233299.0,267488.0,130592.0,0.0,0.0,True,True,False,False,False,410658,soil metagenome,,,,,,,,,,,,,,GAZ:Tanzania,-5.36,37.5,,0.0,800.43,shrubland biome,grassland soil,soil,biome,terrestrial biome,shrubland biome,,,,EMP sample,Free-living,Non-saline,Soil (non-saline),898.0,1315.7083333333333,7.479405940508789,71.85233932182463,,,,,,,, +550.L4S269.s.4.sequence,GTGTTGCAGCAT,GTGCCAGCMGCCGCGGTAA,sample_1290 sebum,M3,550,Moving pictures of the human microbiome,Rob Knight,10.1186/gb-2011-12-5-r50,ERP021896,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CGS-GL,8/27/10,132,35462,35072.0,35175.0,35425.0,27435.0,27172.0,2255.0,True,True,False,False,False,539655,human skin metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2009-09-03,GAZ:United States of America,40.015,-105.271,0.0,0.0,1624.1,urban biome,human-associated habitat,sebum,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal surface,196.0,257.09090909090907,4.638228746814413,25.251967573543105,,,,,,,, +1034.CHF10,TTCTGAGAGGTA,GTGCCAGCMGCCGCGGTAA,"soil metagenome, AB",CHF10,1034,Distinct microbial communities associated with buried soils in the Siberian tundra,Antje Gittel,10.1038/ismej.2013.219,ERP016735,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,8/28/12,100,70998,55107.0,57319.0,69840.0,35978.0,35556.0,0.0,True,True,True,False,False,410658,soil metagenome,,,,,,,,,,,,,2011-08-10,GAZ:Russia,69.44242,161.7559,,0.0,59.0,tundra biome,tundra,soil,biome,terrestrial biome,tundra biome,,,,EMP sample,Free-living,Non-saline,Soil (non-saline),1297.0,2008.612244897959,9.244000010412282,103.856293347877,,5.58,,,,,, +1024.DPOO1.C1.HA.5.247.rhizo.9.11.G1.L00,AGGTCGTATGCG,GTGCCAGCMGCCGCGGTAA,Rhizosphere,HS9,1024,The soil microbiome influences grapevine-associated microbiota (MiSeq),Jack Gilbert,10.1128/mBio.02527-14,ERP006348,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,MiSeq,ANL-Chicago,CCME,8/8/12,151,5594,3387.0,3718.0,4935.0,2390.0,2321.0,1749.0,True,False,False,False,False,939928,rhizosphere metagenome,,,,,,,,,,,,,2011-09-14,GAZ:United States of America,41.02534,-72.46171,,0.0,6.0,cropland biome,vineyard,rhizosphere,biome,terrestrial biome,anthropogenic terrestrial biome,cropland biome,,,EMP sample,Host-associated,Plant,Plant rhizosphere,,,,,,,,,,,, +1774.58Nasal24.10.09,AACCCAGATGAT,GGACTACHVGGGTWTCTAAT,58Nasal24/10/09,58.Plantanal,1774,Puerto Rico and Plantanal samples for the western acculturation project,MG Dominguez-Bello,Missing: Not provided,ERP016472,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,6/27/13,100,25004,23129.0,23405.0,24758.0,14433.0,13843.0,0.0,True,True,True,False,False,1131769,human nasal/pharyngeal metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2009-10-24,GAZ:Venezuela,-2.4153,-64.9144,0.0,0.0,58.45,village biome,human-associated habitat,mucus,biome,terrestrial biome,anthropogenic terrestrial biome,village biome,,,EMP sample,Host-associated,Animal,Animal secretion,86.0,103.10526315789473,2.8359508219202763,14.683487924490104,,,,,,,, +722.NP3.2.s.2.1.sequence,TGATGT,GTGCCAGCMGCCGCGGTAA,"Newport Pier, CA surface water, Time 2",NP3,722,Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample (5PRIME),Rob Knight,10.1073/pnas.1000080107,ERP020884,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,GAIIx,CCME-Boulder,CGS-GL,10/13/09,100,180501,162319.0,164292.0,178581.0,70929.0,58623.0,0.0,True,True,True,True,False,408172,marine metagenome,,,,,,,,,,,,,,GAZ:United States of America,33.607,-117.93,0.0,0.0,0.0,marine biome,marine habitat,sea water,biome,aquatic biome,marine biome,,,,EMP sample,Free-living,Saline,Water (saline),195.0,275.45454545454544,5.755363484531788,25.410526130419985,,,,,,,, +925.IO2z,TACATCACCACA,GTGCCAGCMGCCGCGGTAA,Imperial_fecal_run-off IO2z,Bison_feces_in_hot_spring_run-off_6,925,Yellowstone gradients,Greg Caporaso,Missing: Not provided,ERP022167,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,6/21/11,90,1,1.0,1.0,1.0,0.0,0.0,0.0,True,False,False,False,False,749906,gut metagenome,9901.0,American Bison,American bison,Bison bison,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Bovidae,g__Bison,s__Bison_bison,2010-01-01,GAZ:United States of America,44.531,-110.871,0.0,0.0,2220.77,rangeland biome,animal-associated habitat,feces,biome,terrestrial biome,anthropogenic terrestrial biome,rangeland biome,,,EMP sample,Host-associated,Animal,Animal distal gut,,,,,30.1,9.22,,,,,, +2229.W2.N12.EH3.Thomas.CMB.Seaweed.lane5.NoIndex.L005,GTAGACATGTGT,GTGCCAGCMGCCGCGGTAA,DNA from surface swab of Ecklonia radiata macro algae,UNSWW2 N12 EH33C8,2229,"Continental-scale variation in seaweed host-associated bacterial communities is a function of host condition, not geography",Torsten Thomas,10.1111/1462-2920.12972,ERP021895,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,3/1/14,145,72494,50943.0,57205.0,72155.0,52631.0,51918.0,12267.0,True,True,False,False,False,1300146,algae metagenome,309355.0,kelp,,Ecklonia radiata,sk__Eukaryota,k__,p__Phaeophyceae,c__,o__Laminariales,f__Lessoniaceae,g__Ecklonia,s__Ecklonia_radiata,2011-10-07,GAZ:Australia,-34.0193,151.2315,0.105,0.0,0.0,marine biome,kelp forest,organic material,biome,aquatic biome,marine biome,,,,EMP sample,Host-associated,Plant,Plant surface,116.0,153.05882352941177,3.015647582845079,18.287770293287505,17.6,,,,,,, +894.OR354.lane3.NoIndex.L003,TAGACCGACTCC,GGACTACHVGGGTWTCTAAT,Sambar deer feces,OR354,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,28082,21900.0,23242.0,27598.0,13963.0,12420.0,6754.0,True,True,False,False,False,749906,gut metagenome,662561.0,Sambar deer,Sambar,Rusa unicolor,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Cervidae,g__Rusa,s__Rusa_unicolor,2009-09-11,GAZ:Australia,-37.708936,145.785023,0.0,0.0,246.4419,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,643.0,874.0,7.488430014415914,52.57437977031011,,,,,,,, +1883.2002.2.Crump.Artic.LTREB.main.lane1.NoIndex,TTGAGGCTACAA,GTGCCAGCMGCCGCGGTAA,stream water,XXQIITAXX,1883,Microbial diversity in arctic freshwaters is structured by inoculation of microbes from soils,Byron Crump,10.1038/ismej.2012.9,ERP017459,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/1/14,138,75998,21786.0,24733.0,70654.0,32055.0,32480.0,23.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2002-01-01,GAZ:United States of America,68.627901,-149.612951,0.01,0.0,720.0,freshwater biome,freshwater habitat,fresh water,biome,aquatic biome,freshwater biome,,,,EMP sample,Free-living,Non-saline,Water (non-saline),2215.0,4066.322147651007,10.45694070385602,225.2492259676973,,,,,,,, +1883.2005.16.Crump.Artic.LTREB.main.lane4.NoIndex,GTGAGTCATACC,GTGCCAGCMGCCGCGGTAA,stream water,XXQIITAXX,1883,Microbial diversity in arctic freshwaters is structured by inoculation of microbes from soils,Byron Crump,10.1038/ismej.2012.9,ERP017459,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/1/14,138,36398,33285.0,33628.0,36078.0,23752.0,23538.0,3144.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2005-01-01,GAZ:United States of America,68.611341,-149.589761,0.01,0.0,744.0,freshwater biome,freshwater habitat,fresh water,biome,aquatic biome,freshwater biome,,,,EMP sample,Free-living,Non-saline,Water (non-saline),37.0,37.0,3.728086553757834,7.942717655650102,13.2,7.2,,,0.1,,0.0,9.3 +755.SSFA.L1.2.D30.21.06.11.lane1.NoIndex.L001,AAGAGTCTCTAG,GTGCCAGCMGCCGCGGTAA ,samples of sand from slow_sand filter water purification system,XXQIITAXX,755,Replicating the microbial community and water quality performance of full-scale slow sand filters in laboratory-scale filters,Sarah Haig,10.1016/j.watres.2014.05.008,ERP020510,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,2013,150,93409,64101.0,68033.0,92170.0,51910.0,53408.0,40341.0,True,True,False,False,False,718308,biofilm metagenome,,,,,,,,,,,,,2011-06-21,GAZ:Scotland,55.906,-3.204,0.3,0.0,176.0,urban biome,biofilter,sand,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Free-living,Non-saline,Soil (non-saline),1063.0,1824.9371727748692,8.268796843093906,99.547165191627,10.55,,,,,,, +1578.O3.high0.26to0.30,AGGTCCAAATCA,GTGCCAGCMGCCGCGGTAA,polygon rim O3.high0.26to0.30,O3_high,1578,Changes in microbial communities along redox gradients in polygonized Arctic wet tundra soils,David Lipson,10.1111/1758-2229.12301,ERP010098,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,LBNL-Berkeley,CCME,8/28/12,100,79872,62325.0,64366.0,78713.0,50318.0,48858.0,0.0,True,True,False,False,False,1082480,permafrost metagenome,,,,,,,,,,,,,2011-06-19 00:00:00,GAZ:United States of America,71.253,-156.539,0.28,0.0,3.1,tundra biome,tundra,soil,biome,terrestrial biome,tundra biome,,,,EMP sample,Free-living,Non-saline,Soil (non-saline),617.0,907.2586206896552,7.282404117905331,74.82945387256963,,,,,,,, +1736.B40b.1109,CAGAAATGTGTC,GTGCCAGCMGCCGCGGTAA,Fecal sample taken from cape buffalo B40b,B40b,1736,African buffalo gut microbiome,Vanessa Ezenwa,Missing: Not provided,ERP016483,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,12/17/12,100,96968,80973.0,82774.0,96403.0,50530.0,51982.0,0.0,True,True,False,False,False,506599,bovine gut metagenome,37445.0,,Cape buffalo,Syncerus caffer caffer,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Bovidae,g__Syncerus,s__Syncerus_caffer,2009-11-29,GAZ:South Africa,-23.82,31.44,0.0,0.0,300.0,rangeland biome,animal-associated habitat,feces,biome,terrestrial biome,anthropogenic terrestrial biome,rangeland biome,,,EMP sample,Host-associated,Animal,Animal distal gut,528.0,707.0697674418603,6.9443176883432125,47.468957542748,,,,,,,, +2338.0626.5.E,CAATTCTGCTTC,GTGCCAGCMGCCGCGGTAA,bat fecal sample,626.5,2338,"Microbiome of Seba's short-tailed bats, Carollia perspicillata",Susan Whitehead,Missing: Not provided,ERP016491,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,4/18/14,100,105,81.0,81.0,103.0,58.0,55.0,0.0,True,False,False,False,False,1213622,bat metagenome,40233.0,Seba's short-tailed bat,Seba's short-tailed bat,Carollia perspicillata,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Chiroptera,f__Phyllostomidae,g__Carollia,s__Carollia_perspicillata,2013-07-22,GAZ:Costa Rica,9.75,-83.75,0.0,0.0,1403.74,tropical moist broadleaf forest biome,animal-associated habitat,feces,biome,terrestrial biome,forest biome,broadleaf forest biome,tropical broadleaf forest biome,tropical moist broadleaf forest biome,EMP sample,Host-associated,Animal,Animal distal gut,,,,,,,,,,,, +990.KA3U.B.07,CTCTAGAAGAGT,GTGCCAGCMGCCGCGGTAA,Block_3_Unfertilized_station_B_position_7 KA3U.B.07,KA3U.B.07,990,Spatial scale drives patterns in soil bacterial diversity,Dionysios Antonopoulos,10.1111/1462-2920.13231,ERP016752,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,2012,151,56492,40403.0,42822.0,55566.0,28029.0,28553.0,21140.0,True,True,False,False,False,410658,soil metagenome,,,,,,,,,,,,,2010-11-19,GAZ:United States of America,41.840719,-88.230357,0.025,0.0,226.0,urban biome,field soil,soil,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Free-living,Non-saline,Soil (non-saline),1138.0,1893.198156682028,8.00645395820379,91.776077615896,,,,,,,, +1521.HI3.s.6.1.sequences,CGTACTAGACTG,GTGCCAGCMGCCGCGGTAA,soil metagenome HI3,,1521,Samples presented at EMP conference June 2011 Shenzhen,Rob Knight,Missing: Not provided,ERP023684,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,5/20/11,90,1,1.0,1.0,1.0,0.0,0.0,0.0,True,False,False,False,False,410658,soil metagenome,,,,,,,,,,,,,2008-01-01 00:00:00,GAZ:United States of America,20.08,-155.7,0.025,0.0,1500.0,tropical grassland biome,grassland soil,soil,biome,terrestrial biome,grassland biome,tropical grassland biome,,,EMP sample,Free-living,Non-saline,Soil (non-saline),,,,,,6.53,,,,,, +1696.FTA.D.2,CGGATTGCTGTA,GTGCCAGCMGCCGCGGTAA,Spider monkey feces,FTA -D-2,1696,Gut microbiota and health in wild and captive colobine primates,Vanessa Hale,"10.1016/j.gecco.2016.06.004,10.1016/j.mimet.2015.03.021",ERP016329,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,6/27/13,100,48845,42904.0,43322.0,48097.0,23732.0,25701.0,0.0,True,True,False,False,False,410656,organismal metagenomes,9509.0,Spider monkey,black-handed spider monkey,Ateles geoffroyi,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Atelidae,g__Ateles,s__Ateles_geoffroyi,2012-11-02,GAZ:United States of America,40.417,86.875,0.0,0.0,938.168,urban biome,animal-associated habitat,feces,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal distal gut,305.0,413.90243902439016,5.6115034123567415,31.724220645023,,,,,,,, +894.UY48.lane3.NoIndex.L003,TCTACGGCACGT,GGACTACHVGGGTWTCTAAT,Sambar deer feces,UY48,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,17431,14461.0,14969.0,17184.0,9582.0,8351.0,4144.0,True,True,False,False,False,749906,gut metagenome,662561.0,Sambar deer,Sambar,Rusa unicolor,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Cervidae,g__Rusa,s__Rusa_unicolor,2009-06-01,GAZ:Australia,-37.673563,145.89612,0.0,0.0,329.4906,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,452.0,508.22580645161287,6.450562356159885,37.72934500195559,,,,,,,, +755.LSSF.GAMMA.D45.16.06.11.lane1.NoIndex.L001,GTCCAGCTATGA,GTGCCAGCMGCCGCGGTAA ,samples of sand from labscale_slow_sand filter with sterile sand: water purification system,XXQIITAXX,755,Replicating the microbial community and water quality performance of full-scale slow sand filters in laboratory-scale filters,Sarah Haig,10.1016/j.watres.2014.05.008,ERP020510,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,2013,150,65188,52818.0,54628.0,64643.0,37807.0,38171.0,30947.0,True,True,False,False,False,718308,biofilm metagenome,,,,,,,,,,,,,2011-06-16,GAZ:Scotland,55.873,-4.284,40.05,0.0,32.0,urban biome,biofilter,sand,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Free-living,Non-saline,Soil (non-saline),397.0,490.05882352941177,6.897659912520472,45.256470977781106,19.0,,,,,,, +894.YY1107.lane5.NoIndex.L005,CAAGCCCTAGTA,GGACTACHVGGGTWTCTAAT,Kangaroo feces,YY1107,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,38944,27769.0,28801.0,38443.0,21771.0,21963.0,14824.0,True,True,False,False,False,749906,gut metagenome,9322.0,Kangaroo,kangaroo,Macropus sp.,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Diprotodontia,f__Macropodidae,g__Macropus,s__Macropus_sp.,2010-04-14,GAZ:Australia,-37.53966,145.139673,0.0,0.0,183.0036,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,389.0,472.26388888888886,6.221168445376649,40.68250224106949,,,,,,,, +894.YY1581.lane5.NoIndex.L005,CCTTCTGTATAC,GGACTACHVGGGTWTCTAAT,Sambar deer feces,YY1581,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,48680,37300.0,39216.0,48049.0,24899.0,25796.0,18630.0,True,True,False,False,False,749906,gut metagenome,662561.0,Sambar deer,Sambar,Rusa unicolor,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Cervidae,g__Rusa,s__Rusa_unicolor,2010-10-15,GAZ:Australia,-37.53966,145.139673,0.0,0.0,183.0036,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,673.0,953.7647058823528,7.505989173228219,60.662276344198204,,,,,,,, +1064.H.CV214,GAGGTTCTTGAC,GTGCCAGCMGCCGCGGTAA,Complete Head,H-CV214,1064,Microbiome of honey bees from Puerto Rico,MG Dominguez-Bello,Missing: Not provided,ERP016607,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,MiSeq,ANL-Chicago,CCME,2013,151,34590,32417.0,32553.0,33718.0,24413.0,23849.0,20493.0,True,True,True,True,True,749906,gut metagenome,7460.0,honey bee,honey bee,Apis mellifera,sk__Eukaryota,k__Metazoa,p__Arthropoda,c__Insecta,o__Hymenoptera,f__Apidae,g__Apis,s__Apis_mellifera,2011-07-11,GAZ:Puerto Rico,18.22,-65.99,0.0,0.0,43.1,village biome,insecta-associated habitat,organic material,biome,terrestrial biome,anthropogenic terrestrial biome,village biome,,,EMP sample,Host-associated,Animal,Animal corpus,31.0,38.5,3.4240656371250875,6.881940094510001,,,,,,,, +1883.2009.365.Crump.Artic.LTREB.main.lane3.NoIndex,AAGTCACACACA,GTGCCAGCMGCCGCGGTAA,lake water,XXQIITAXX,1883,Microbial diversity in arctic freshwaters is structured by inoculation of microbes from soils,Byron Crump,10.1038/ismej.2012.9,ERP017459,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/1/14,138,47610,39484.0,39599.0,47274.0,32060.0,31338.0,5215.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2009-01-01,GAZ:United States of America,68.578931,-149.579989,1.0,0.0,770.0,Small lake biome,freshwater habitat,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),65.0,68.0,5.1805112855619475,12.1326111733302,,,,,,,, +1024.SH007.C6.RH.1.82.rhizo.6.11.G1.L00,CTCGCTTCACTT,GTGCCAGCMGCCGCGGTAA,Rhizosphere,HS9,1024,The soil microbiome influences grapevine-associated microbiota (MiSeq),Jack Gilbert,10.1128/mBio.02527-14,ERP006348,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,MiSeq,ANL-Chicago,CCME,8/8/12,151,7358,4545.0,4857.0,6205.0,2942.0,2807.0,1994.0,True,False,False,False,False,939928,rhizosphere metagenome,,,,,,,,,,,,,2011-06-21,GAZ:United States of America,41.01487,-72.52853,,0.0,3.0,cropland biome,vineyard,rhizosphere,biome,terrestrial biome,anthropogenic terrestrial biome,cropland biome,,,EMP sample,Host-associated,Plant,Plant rhizosphere,,,,,,,,,,,, +990.KA3F.C.02,CGACTCTAAACG,GTGCCAGCMGCCGCGGTAA,Block_3_Fertilized_station_C_position_2 KA3F.C.02,KA3F.C.02,990,Spatial scale drives patterns in soil bacterial diversity,Dionysios Antonopoulos,10.1111/1462-2920.13231,ERP016752,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,2012,151,204329,147277.0,157431.0,201045.0,98580.0,101294.0,76365.0,True,True,False,False,False,410658,soil metagenome,,,,,,,,,,,,,2010-11-21,GAZ:United States of America,41.840718,-88.230357,0.025,0.0,226.0,urban biome,field soil,soil,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Free-living,Non-saline,Soil (non-saline),1341.0,2340.583690987125,8.833797663110373,111.397495220519,,,,,,,, +1453.45661SDZ2.F4.Pnem.stom,ACCCAAGCGTTA,GTGCCAGCMGCCGCGGTAA,presaccus 1,45661,1453,The gut microbiota distinguishes GI-healthy and -unhealthy captive colobineprimates,Rob Knight,10.1016/j.gecco.2016.06.004,ERP016286,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT ,HiSeq,CCME-Boulder,CCME,2/14/12,100,111677,75927.0,69971.0,111345.0,47570.0,42910.0,0.0,True,True,True,True,False,749906,gut metagenome,54133.0,Northern Douc,Red shanked douc langur,Pygathrix nemaeus,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Cercopithecidae,g__Pygathrix,s__Pygathrix_nemaeus,2003-06-07,GAZ:United States of America,32.72,-117.16,0.0,0.0,18.57,urban biome,animal-associated habitat,organic material,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal proximal gut,167.0,208.0,5.445973431762893,22.656845246033107,,,,,,,, +1632.E3D12.Knight16sV4.JuannaBirdEMP.NoIndex.L005.R1.001.sequences,GCCACGACTTAC,GTGCCAGCMGCCGCGGTAA ,Bird Egg Shells from nest Grajilla.Gra4.1,Grajilla.Gra4.1,1632,Bird eggshells from Spain,Juan M. Peralta-Sanchez,10.1111/j.1474-919X.2012.01256.x*,ERP016455,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,8/28/12,100,132161,123388.0,123817.0,131915.0,96380.0,91047.0,0.0,True,True,False,False,False,410656,organismal metagenomes,30423.0,Jackdaw,jackdaw,Corvus monedula,sk__Eukaryota,k__Metazoa,p__Chordata,c__Aves,o__Passeriformes,f__Corvidae,g__Corvus,s__Corvus_monedula,2007-05-12,GAZ:Spain,37.17932778,-2.957352778,0.0,0.0,1228.0,mediterranean shrubland biome,nest of bird,avian egg product,biome,terrestrial biome,shrubland biome,subtropical shrubland biome,mediterranean shrubland biome,,EMP sample,Host-associated,Animal,Animal surface,37.0,37.5,2.926135751437654,5.5456232566785,,,,,,,, +2192.H05b.Nose.2892.lane5.NoIndex.L005,TTGACACACGAC,GT,H05b.Nose,Person_05.2,2192,Longitudinal analysis of microbial interaction between humans and the indoor environment,Jack Gilbert,10.1126/science.1254529,ERP005806,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,unknown,151,67291,66133.0,66074.0,67147.0,33343.0,33176.0,36907.0,True,True,False,False,False,1131769,human nasal/pharyngeal metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2012-03-01,GAZ:United States of America,41.88,-87.63,0.0,0.0,181.32,urban biome,human-associated habitat,mucus,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal secretion,237.0,254.57142857142856,5.405235332354843,28.00824148075861,,,,,,,, +550.L2S330.s.2.sequence,CGAGAGTTACGC,GTGCCAGCMGCCGCGGTAA,sample_627 sebum,M3,550,Moving pictures of the human microbiome,Rob Knight,10.1186/gb-2011-12-5-r50,ERP021896,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CGS-GL,8/27/10,132,15465,14837.0,15090.0,15440.0,10497.0,10450.0,861.0,True,True,False,False,False,539655,human skin metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2009-02-16,GAZ:United States of America,40.015,-105.271,0.0,0.0,1624.1,urban biome,human-associated habitat,sebum,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal surface,346.0,439.6133333333333,5.910918133405622,35.36252817252321,,,,,,,, +990.KA3F.E.19,GAGACGTGTTCT,GTGCCAGCMGCCGCGGTAA,Block_3_Fertilized_station_E_position_19 KA3F.E.19,KA3F.E.19,990,Spatial scale drives patterns in soil bacterial diversity,Dionysios Antonopoulos,10.1111/1462-2920.13231,ERP016752,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,2012,151,202350,139562.0,151429.0,197518.0,103162.0,107043.0,78851.0,True,True,False,False,False,410658,soil metagenome,,,,,,,,,,,,,2010-11-19,GAZ:United States of America,41.840733,-88.230357,0.025,0.0,226.0,urban biome,field soil,soil,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Free-living,Non-saline,Soil (non-saline),1117.0,2002.2727272727273,8.884679809583801,102.013223049021,,,,,,,, +1694.St5F8.Pmoss.Jstar.16s.NoIndex.sequences,GTGTGCTAACGT,GTGCCAGCMGCCGCGGTAA,egg.St5F8,EH.5.(R).3A,1694,Starling eggshells from Spain,Juan M. Peralta-Sanchez,Missing: Not provided,ERP016469,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,2/15/13,100,183156,167536.0,171967.0,181495.0,103051.0,102901.0,0.0,True,True,True,False,False,410656,organismal metagenomes,38112.0,starling,,Pemphiginae,sk__Eukaryota,k__Metazoa,p__Arthropoda,c__Insecta,o__Hemiptera,f__Pemphigidae,g__,s__,2009-06-02,GAZ:Spain,37.221439,-2.948975,0.0,0.0,1127.0,mediterranean woodland biome,nest of bird,avian egg product,biome,terrestrial biome,woodland biome,subtropical woodland biome,mediterranean woodland biome,,EMP sample,Host-associated,Animal,Animal surface,491.0,650.2441860465118,6.891708737570106,47.78962453050146,,,,,,,, +1288.MAE01May08.McMahon.Pool.3.and.1percentPhiX.110310.HWUSI.EAS552R.0357.s.3.1.sequence,CTAGCGTGCGTT,GTGCCAGCMGCCGCGGTAA,freshwater metagenome MAE01May08,XXQIITAXX,1288,Bacterial community spatial and temporal variation in a north temperate bog lake,Katherine McMahon,Missing: Not provided,ERP016854,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,3/10/11,150,38644,33466.0,34196.0,38463.0,24266.0,24343.0,10933.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2008-05-01,GAZ:United States of America,37.09,-95.71,1.0,0.0,256.05,Small lake biome,freshwater lake,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),308.0,461.8653846153846,5.303691040637965,40.63264766809618,6.76,,,,,,, +1521.330.7.s.7.1.sequences,CTACTACAGGTG,GTGCCAGCMGCCGCGGTAA,"PNNL, water well samples 330.7",,1521,Samples presented at EMP conference June 2011 Shenzhen,Rob Knight,Missing: Not provided,ERP023684,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,5/20/11,90,42187,33239.0,34362.0,41703.0,24571.0,0.0,0.0,True,True,True,False,False,410659,mine drainage metagenome,,,,,,,,,,,,,,GAZ:United States of America,46.35,-119.94,0.0,0.0,122.94,aquatic biome,contaminated water,fresh water,biome,aquatic biome,,,,,EMP sample,Free-living,Non-saline,Water (non-saline),232.0,312.16129032258067,5.7969565868194035,32.03705339914019,,,,,,,, +1774.L503.Skin.Puer,CCACAGATCGAT,GGACTACHVGGGTWTCTAAT,L503.Skin.Puer,L1.Puer,1774,Puerto Rico and Plantanal samples for the western acculturation project,MG Dominguez-Bello,Missing: Not provided,ERP016472,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,6/27/13,100,68086,54614.0,55004.0,66116.0,36751.0,34291.0,0.0,True,True,False,False,False,539655,human skin metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,,GAZ:Puerto Rico,18.47,-66.11,0.0,0.0,7.79,urban biome,human-associated habitat,sebum,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal surface,186.0,220.73076923076923,3.853076332192453,21.894500287860097,,,,,,,, +894.SV1764.lane5.NoIndex.L005,AAGGCGCTCCTT,GGACTACHVGGGTWTCTAAT,Dog feces,SV1764,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,52728,36225.0,39649.0,50575.0,27247.0,26969.0,18449.0,True,True,False,False,False,749906,gut metagenome,9615.0,Dog,dog,Canis lupus familiaris,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Carnivora,f__Canidae,g__Canis,s__Canis_lupus,2010-11-12,GAZ:Australia,-37.827006,145.415048,0.0,0.0,259.3416,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,567.0,825.9886363636364,7.566280844106759,59.47237982146222,,,,,,,, +1521.Ce6.s.7.1.sequences,CACGGACTATAC,GTGCCAGCMGCCGCGGTAA,insect organismal metagenome Ce6,Ce6,1521,Samples presented at EMP conference June 2011 Shenzhen,Rob Knight,Missing: Not provided,ERP023684,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,5/20/11,90,25894,20228.0,20625.0,25506.0,15099.0,0.0,0.0,True,True,True,False,False,1234904,insect metagenome,6960.0,insect,insects,Hexapoda,sk__Eukaryota,k__Metazoa,p__Arthropoda,c__,o__,f__,g__,s__,,GAZ:United States of America,19.9,-155.58,0.0,0.0,1492.95,urban biome,insecta-associated habitat,bodily fluid,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal secretion,372.0,503.470588235294,4.003100479748778,36.624658086188504,,,,,,,, +1622.UPMain.109.110A,AATGCAATGCGT,GTGCCAGCMGCCGCGGTAA,"Freshwater sediment core slice, Uncas Pond, MA. Aseptically collected subsample.",XXQIITAXX,1622,Biodiversity and functional patterns of microbial assemblages in relation to land-use change in postglacial pond sediment profiles,Alison Berry,Missing: Not provided,ERP016496,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,LBNL-Berkeley,CCME,8/28/12,100,107728,47236.0,60667.0,106924.0,59948.0,56899.0,0.0,True,True,True,True,False,556182,freshwater sediment metagenome,,,,,,,,,,,,,2011-01-01,GAZ:United States of America,42.06,-71.37761,1.1,0.0,92.58,Small lake biome,pond,lake sediment,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Sediment (non-saline),1240.0,2242.80198019802,9.006555810350118,148.3032109589783,,,,,,,, +1242.ME15Jun10EB1R2,CTCACAACCGTG,GTGCCAGCMGCCGCGGTAA,epilimnetic water sample ME15Jun10EB1R2,ME15Jun10EB1,1242,"A decade of seasonal dynamics and co-occurrences within freshwater bacterioplankton communities from eutrophic Lake Mendota, WI, USA",Katherine McMahon,10.1038/ismej.2012.118,ERP016591,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,2011,100,400248,363601.0,372179.0,398726.0,249405.0,217362.0,0.0,True,True,True,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2010-06-15,GAZ:United States of America,43.107,-89.425,6.0,0.0,259.0,Small lake biome,freshwater lake,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),193.0,221.88888888888889,5.770547757533528,25.698633999086105,,,,,,,, +894.MR202.lane3.NoIndex.L003,CACGACTTGACA,GGACTACHVGGGTWTCTAAT,Sambar deer feces,MR202,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,29585,24379.0,25487.0,29211.0,15009.0,12948.0,6808.0,True,True,False,False,False,749906,gut metagenome,662561.0,Sambar deer,Sambar,Rusa unicolor,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Cervidae,g__Rusa,s__Rusa_unicolor,2009-08-13,GAZ:Australia,-37.625347,145.57919,0.0,0.0,152.4488,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,602.0,819.7459016393442,7.242343382265261,50.4206710743971,,,,,,,, +2229.W2.T12.EH3.Thomas.CMB.Seaweed.lane5.NoIndex.L005,CCAGTGGATATA,GTGCCAGCMGCCGCGGTAA,DNA from surface swab of Ecklonia radiata macro algae,UNSWW2 T12 EH33H8,2229,"Continental-scale variation in seaweed host-associated bacterial communities is a function of host condition, not geography",Torsten Thomas,10.1111/1462-2920.12972,ERP021895,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,3/1/14,145,72583,33551.0,34522.0,72172.0,45996.0,46990.0,8904.0,True,True,True,False,False,1300146,algae metagenome,309355.0,kelp,,Ecklonia radiata,sk__Eukaryota,k__,p__Phaeophyceae,c__,o__Laminariales,f__Lessoniaceae,g__Ecklonia,s__Ecklonia_radiata,2011-10-15,GAZ:Australia,-43.5297,146.9567,0.099,0.0,0.0,marine biome,kelp forest,organic material,biome,aquatic biome,marine biome,,,,EMP sample,Host-associated,Plant,Plant surface,170.0,305.3703703703704,3.636387460793251,23.483556409903997,16.9,,,,,,, +2229.S1.T11.EH2.Thomas.CMB.Seaweed.lane6.NoIndex.L006,GTCCAGCTATGA,GTGCCAGCMGCCGCGGTAA,DNA from surface swab of Ecklonia radiata macro algae,UNSWS1 T11 EH27A2,2229,"Continental-scale variation in seaweed host-associated bacterial communities is a function of host condition, not geography",Torsten Thomas,10.1111/1462-2920.12972,ERP021895,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,3/1/14,145,109213,65439.0,75435.0,108209.0,67746.0,66791.0,23593.0,True,True,False,False,False,1300146,algae metagenome,309355.0,kelp,,Ecklonia radiata,sk__Eukaryota,k__,p__Phaeophyceae,c__,o__Laminariales,f__Lessoniaceae,g__Ecklonia,s__Ecklonia_radiata,2012-02-07,GAZ:Australia,-42.9509,147.3551,0.112,0.0,0.0,marine biome,kelp forest,organic material,biome,aquatic biome,marine biome,,,,EMP sample,Host-associated,Plant,Plant surface,139.0,160.13636363636363,5.249976478111461,18.942909830191,20.27382258,,,,,,, +894.UY681.lane3.NoIndex.L003,TGGTTCATCCTT,GGACTACHVGGGTWTCTAAT,Rabbit feces,UY681,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,40405,20291.0,21887.0,39291.0,20670.0,17926.0,9320.0,True,True,False,False,False,749906,gut metagenome,9986.0,Rabbit,rabbit,Oryctolagus cuniculus,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Lagomorpha,f__Leporidae,g__Oryctolagus,s__Oryctolagus_cuniculus,2009-12-10,GAZ:Australia,-37.673563,145.89612,0.0,0.0,329.4906,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,390.0,555.0,7.080848508178388,42.89934713397909,,,,,,,, +925.SJ3x,GCGATATATCGC,GTGCCAGCMGCCGCGGTAA,Steep_Channel_2 SJ3x,SJ3x,925,Yellowstone gradients,Greg Caporaso,Missing: Not provided,ERP022167,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,6/21/11,90,17781,10125.0,16000.0,17549.0,7341.0,0.0,0.0,True,True,True,False,False,527640,microbial mat metagenome,,,,,,,,,,,,,2010-01-01,GAZ:United States of America,44.567,-110.863,0.0,0.0,2208.89,rangeland biome,hot spring,microbial mat,biome,terrestrial biome,anthropogenic terrestrial biome,rangeland biome,,,EMP sample,Free-living,Non-saline,Surface (non-saline),34.0,34.5,3.604330149830288,9.121583272888,57.8,,,,,,, +894.MR217.lane3.NoIndex.L003,GTGGTATGGGAG,GGACTACHVGGGTWTCTAAT,Sambar deer feces,MR217,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,32094,19888.0,20540.0,31589.0,16453.0,14181.0,7264.0,True,True,False,False,False,749906,gut metagenome,662561.0,Sambar deer,Sambar,Rusa unicolor,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Cervidae,g__Rusa,s__Rusa_unicolor,2009-08-13,GAZ:Australia,-37.625347,145.57919,0.0,0.0,152.4488,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,278.0,375.3488372093024,5.98216690742052,26.163207325748697,,,,,,,, +1642.MS00323,CTTAGGCATGTG,GTGCCAGCMGCCGCGGTAA,water unknown,MS00323,1642,Microbial community of the bulk soil and rhizosphere of rice plants over its lifecycle,Jose Clemente,Missing: Not provided,ERP016900,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,NIG-Japan,CCME,12/17/12,100,96227,78124.0,79105.0,94491.0,58079.0,56878.0,0.0,True,True,True,True,True,410658,soil metagenome,4530.0,water,rice,Oryza sativa,sk__Eukaryota,k__Viridiplantae,p__Streptophyta,c__Liliopsida,o__Poales,f__Poaceae,g__Oryza,s__Oryza_sativa,2011-08-31,GAZ:Japan,35.117,138.937,,0.0,60.0,cropland biome,rice field,fresh water,biome,terrestrial biome,anthropogenic terrestrial biome,cropland biome,,,EMP sample,Free-living,Non-saline,Water (non-saline),514.0,787.9130434782608,6.298726103117031,65.27048111978901,,,,,,,, +894.UY17.lane3.NoIndex.L003,AGACATACCGTA,GGACTACHVGGGTWTCTAAT,Sambar deer feces,UY17,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,29907,20608.0,22114.0,29335.0,13620.0,12414.0,6805.0,True,True,False,False,False,749906,gut metagenome,662561.0,Sambar deer,Sambar,Rusa unicolor,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Cervidae,g__Rusa,s__Rusa_unicolor,2009-06-01,GAZ:Australia,-37.673563,145.89612,0.0,0.0,329.4906,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,696.0,882.9485294117646,7.754299579720797,56.64184919568899,,,,,,,, +550.L2S289.s.2.sequence,CATGGCTACACA,GTGCCAGCMGCCGCGGTAA,sample_580 sebum,M3,550,Moving pictures of the human microbiome,Rob Knight,10.1186/gb-2011-12-5-r50,ERP021896,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CGS-GL,8/27/10,132,15380,14172.0,14498.0,15334.0,9484.0,9358.0,351.0,True,True,True,False,False,539655,human skin metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2008-12-25,GAZ:United States of America,40.015,-105.271,0.0,0.0,1624.1,urban biome,human-associated habitat,sebum,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal surface,464.0,504.95,6.560292204351581,44.26573260620017,,,,,,,, +1883.2006.337.Crump.Artic.LTREB.main.lane1.NoIndex,CTTCGCGGATGT,GTGCCAGCMGCCGCGGTAA,lake water,XXQIITAXX,1883,Microbial diversity in arctic freshwaters is structured by inoculation of microbes from soils,Byron Crump,10.1038/ismej.2012.9,ERP017459,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/1/14,138,59858,49847.0,49029.0,59244.0,36635.0,35933.0,281.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2006-01-01,GAZ:United States of America,68.600601,-149.596398,1.0,0.0,742.0,Small lake biome,freshwater habitat,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),265.0,305.55172413793105,6.337753269656718,35.118484546041195,11.83,7.4,,,,,, +2192.H07b.Kitchen.Counter.4009.lane2.NoIndex.L002,TTCCCGAAACGA,GT,H07b.Kitchen_Counter,,2192,Longitudinal analysis of microbial interaction between humans and the indoor environment,Jack Gilbert,10.1126/science.1254529,ERP005806,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,unknown,151,110627,96490.0,99157.0,109163.0,55831.0,58253.0,52658.0,True,True,True,False,False,1256227,indoor metagenome,,human,,,,,,,,,,,2012-07-01,GAZ:United States of America,41.88,-87.63,0.0,0.0,181.32,urban biome,anthropogenic environmental material,dust,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Free-living,Non-saline,Surface (non-saline),1060.0,1790.8144329896909,7.899810266057773,81.06889467408007,,,,,,,, +1056.Pri.max.Seat.2.02V07,TATGCCAGAGAT,GTGCCAGCMGCCGCGGTAA ,fecal sample from Giant armadillo,1056:Pri.max.Seat2.02V07,1056,Convergence of gut microbiomes in myrmecophagous mammals,Frederic Delsuc,10.1111/mec.12501,ERP003782,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,MiSeq,CCME-Boulder,CCME,10/9/12,151,20148,11317.0,11462.0,19025.0,13404.0,13149.0,9585.0,True,True,True,False,False,749906,gut metagenome,183752.0,Giant armadillo,,Priodontes maximus,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Cingulata,f__Chlamyphoridae,g__Priodontes,s__Priodontes_maximus,2006-01-01,GAZ:Brazil,-18.121,-52.908,0.0,0.0,2677.0,terrestrial biome,animal-associated habitat,feces,biome,terrestrial biome,,,,,EMP sample,Host-associated,Animal,Animal distal gut,181.0,200.3448275862069,5.532415980763623,23.605150480043,,,,,,,, +945.P5.B4.lane2.NoIndex.L002,CGAGCTGTTACC,GTGCCAGCMGCCGCGGTAA,"freshwater metagenome, Lake Stechlin",P5.B4,945,Long-term seasonal development in selected lakes of northeast Germany,Hans-Peter Grossart,Missing: Not provided,ERP022245,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2012,150,63670,57235.0,58386.0,63412.0,45385.0,44023.0,31907.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2010-09-09,GAZ:Germany,53.167,13.033,2.5,0.0,88.35,Large lake biome,freshwater lake,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Large lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),197.0,274.0833333333333,2.5652164524987415,27.9240402943002,17.0,9.05,,10.9,,,, +2192.H03a.Hand.1258.lane5.NoIndex.L005,GCAATAGGAGGA,GT,H03a.Hand,Person_03.2,2192,Longitudinal analysis of microbial interaction between humans and the indoor environment,Jack Gilbert,10.1126/science.1254529,ERP005806,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,unknown,151,53035,51913.0,52485.0,52949.0,42753.0,41650.0,33830.0,True,True,False,False,False,539655,human skin metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2012-02-12,GAZ:United States of America,41.88,-87.63,0.0,0.0,181.32,urban biome,human-associated habitat,sebum,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal surface,14.0,26.0,1.3404886942156038,4.9885384885300015,,,,,,,, +1521.EB131.s.6.1.sequences,ATACTCACTCAG,GTGCCAGCMGCCGCGGTAA,soil metagenome EB131,,1521,Samples presented at EMP conference June 2011 Shenzhen,Rob Knight,Missing: Not provided,ERP023684,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,5/20/11,90,194314,163587.0,169587.0,190618.0,93241.0,0.0,0.0,True,True,False,False,False,410658,soil metagenome,,,,,,,,,,,,,,GAZ:Tanzania,-5.38,37.47,,0.0,800.43,shrubland biome,grassland soil,soil,biome,terrestrial biome,shrubland biome,,,,EMP sample,Free-living,Non-saline,Soil (non-saline),1091.0,2077.3546511627906,7.916496623374096,85.37842080589297,,,,,,,, +1883.2005.203.Crump.Artic.LTREB.main.lane4.NoIndex,ATTGCTGGTCGA,GTGCCAGCMGCCGCGGTAA,lake water,XXQIITAXX,1883,Microbial diversity in arctic freshwaters is structured by inoculation of microbes from soils,Byron Crump,10.1038/ismej.2012.9,ERP017459,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/1/14,138,97085,74816.0,73969.0,95107.0,51157.0,50479.0,6851.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2005-01-01,GAZ:United States of America,68.609717,-149.589645,7.0,0.0,744.0,Small lake biome,freshwater habitat,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),329.0,559.1351351351351,6.40896531979116,46.10729718656517,,,,,,,, +1696.VH0019A,TCTGGGCATTGA,GTGCCAGCMGCCGCGGTAA,Purple faced langur feces,G10998,1696,Gut microbiota and health in wild and captive colobine primates,Vanessa Hale,"10.1016/j.gecco.2016.06.004,10.1016/j.mimet.2015.03.021",ERP016329,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,6/27/13,100,25143,19107.0,19610.0,24588.0,13281.0,13017.0,0.0,True,True,False,False,False,410656,organismal metagenomes,54137.0,Purple faced langur,purple-faced leaf monkey,Trachypithecus vetulus,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Cercopithecidae,g__Trachypithecus,s__Trachypithecus_vetulus,2012-04-27,GAZ:Singapore,1.404,103.791,0.0,0.0,37.391,urban biome,animal-associated habitat,feces,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal distal gut,252.0,274.6578947368421,6.465580370994982,30.537109890233108,,,,,,,, +1642.MS00514,TCGGCGATCATC,GTGCCAGCMGCCGCGGTAA,rhizosphere Nipponbare,MS00514,1642,Microbial community of the bulk soil and rhizosphere of rice plants over its lifecycle,Jose Clemente,Missing: Not provided,ERP016900,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,NIG-Japan,CCME,12/17/12,100,105859,78239.0,80708.0,104207.0,44361.0,44020.0,0.0,True,True,True,True,False,939928,rhizosphere metagenome,4530.0,rice,rice,Oryza sativa,sk__Eukaryota,k__Viridiplantae,p__Streptophyta,c__Liliopsida,o__Poales,f__Poaceae,g__Oryza,s__Oryza_sativa,2011-07-27,GAZ:Japan,35.117,138.937,,0.0,60.0,cropland biome,rice field,rhizosphere,biome,terrestrial biome,anthropogenic terrestrial biome,cropland biome,,,EMP sample,Host-associated,Plant,Plant rhizosphere,1650.0,3201.89527027027,8.655924438341899,144.74833964994352,,,,,,,, +2229.W1.N3.4.HE3.Thomas.CMB.Seaweed.lane6.NoIndex.L006,CATGTGCTTAGG,GTGCCAGCMGCCGCGGTAA,DNA from surface swab of Ecklonia radiata macro algae,UNSWW1 N3.4 HE310G9,2229,"Continental-scale variation in seaweed host-associated bacterial communities is a function of host condition, not geography",Torsten Thomas,10.1111/1462-2920.12972,ERP021895,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,3/1/14,145,78793,40754.0,43206.0,78295.0,56821.0,56050.0,19500.0,True,True,True,False,False,1300146,algae metagenome,309355.0,kelp,,Ecklonia radiata,sk__Eukaryota,k__,p__Phaeophyceae,c__,o__Laminariales,f__Lessoniaceae,g__Ecklonia,s__Ecklonia_radiata,2011-08-29,GAZ:Australia,-31.5946,152.8433,0.025,0.0,0.0,marine biome,kelp forest,organic material,biome,aquatic biome,marine biome,,,,EMP sample,Host-associated,Plant,Plant surface,87.0,205.25,3.3981845922484086,15.86042015753,13.33370968,,,,,,, +1883.2008.549.Crump.Artic.LTREB.main.lane3.NoIndex,AGCTGCACCTAA,GTGCCAGCMGCCGCGGTAA,lake water,XXQIITAXX,1883,Microbial diversity in arctic freshwaters is structured by inoculation of microbes from soils,Byron Crump,10.1038/ismej.2012.9,ERP017459,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/1/14,138,97145,71290.0,74784.0,95718.0,59295.0,58560.0,9917.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2008-01-01,GAZ:United States of America,68.633064,-149.62827,16.0,0.0,719.0,Small lake biome,freshwater habitat,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),314.0,409.11764705882354,6.193594187501018,43.0630991538361,3.9,7.5,,,,,1.68, +1883.2007.292.Crump.Artic.LTREB.main.lane2.NoIndex,CTTCGACTTTCC,GTGCCAGCMGCCGCGGTAA,lake water,XXQIITAXX,1883,Microbial diversity in arctic freshwaters is structured by inoculation of microbes from soils,Byron Crump,10.1038/ismej.2012.9,ERP017459,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/1/14,138,140042,111351.0,111264.0,138620.0,79500.0,77677.0,808.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2007-01-01,GAZ:United States of America,68.632586,-149.600895,3.0,0.0,719.0,Small lake biome,freshwater habitat,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),289.0,362.4883720930232,6.263529665558098,37.350527726064186,15.52,,,,,,, +805.pH.7.5.year.2007,CTTCCAACTCAT,GTGCCAGCMGCCGCGGTAA,pH 7.5 year 2007,pH.7.5.year.2007,805,Exploring links between pH and bacterial community composition in soils from the Craibstone Experimental Farm,Josh Neufeld,10.1111/1574-6941.12231,ERP020539,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,LBNL-Berkeley,CCME,8/28/12,100,83186,74083.0,76534.0,82077.0,56562.0,54742.0,0.0,True,True,True,True,False,410658,soil metagenome,,,,,,,,,,,,,2007-01-01,GAZ:Scotland,57.183,-2.85,0.05,0.0,102.0,cropland biome,agricultural soil,soil,biome,terrestrial biome,anthropogenic terrestrial biome,cropland biome,,,EMP sample,Free-living,Non-saline,Soil (non-saline),446.0,483.9354838709677,8.234055313509053,45.97634498255598,,7.5,,,,,, +2300.BB.11.colon,TGGAAGAACGGC,GTGCCAGCMGCCGCGGTAA,Black bear 11 colon,BB.11,2300,Gut microbiome of hibernating bears,Rita L. Seger,Missing: Not provided,ERP016384,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,4/15/14,100,169634,161935.0,162581.0,168383.0,124140.0,117364.0,0.0,True,True,True,False,False,749906,gut metagenome,62692.0,black bear,,Ursus americanus americanus,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Carnivora,f__Ursidae,g__Ursus,s__Ursus_americanus,2013-12-19,GAZ:United States of America,48.51552,-95.83894,0.0,0.0,358.859,mixed forest biome,animal-associated habitat,feces,biome,terrestrial biome,forest biome,mixed forest biome,,,EMP sample,Host-associated,Animal,Animal distal gut,39.0,41.5,2.9818524308431997,7.3076646449985025,,,,,,,, +2229.W1.T11.PH5.Thomas.CMB.Seaweed.lane6.NoIndex.L006,ACTAGCGTTCAG,GTGCCAGCMGCCGCGGTAA,DNA from surface swab of Phyllospora comosa macro algae,UNSWW1 T11 PH59G5,2229,"Continental-scale variation in seaweed host-associated bacterial communities is a function of host condition, not geography",Torsten Thomas,10.1111/1462-2920.12972,ERP021895,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,3/1/14,145,88511,40093.0,58597.0,87490.0,57110.0,56749.0,20188.0,True,True,False,False,False,1300146,algae metagenome,112068.0,kelp,,Phyllospora comosa,sk__Eukaryota,k__,p__Phaeophyceae,c__,o__Fucales,f__Seirococcaceae,g__Phyllospora,s__Phyllospora_comosa,2011-09-02,GAZ:Australia,-42.9509,147.3551,0.127,0.0,0.0,marine biome,kelp forest,organic material,biome,aquatic biome,marine biome,,,,EMP sample,Host-associated,Plant,Plant surface,188.0,261.75,4.827830034314093,25.939902139213004,18.0,,,,,,, +2192.H03a.Foot.1232.lane5.NoIndex.L005,ACGTGGTTCCAC,GT,H03a.Foot,Person_03.1,2192,Longitudinal analysis of microbial interaction between humans and the indoor environment,Jack Gilbert,10.1126/science.1254529,ERP005806,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,unknown,151,76909,68996.0,70118.0,76080.0,45419.0,45776.0,36064.0,True,True,False,False,False,539655,human skin metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2012-02-11,GAZ:United States of America,41.88,-87.63,0.0,0.0,181.32,urban biome,human-associated habitat,sebum,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal surface,743.0,1381.6333333333332,6.684260091265994,73.22345178516423,,,,,,,, +1736.B27.1109,TACGAGCCCTAA,GTGCCAGCMGCCGCGGTAA,Fecal sample taken from cape buffalo B27,B27,1736,African buffalo gut microbiome,Vanessa Ezenwa,Missing: Not provided,ERP016483,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,12/17/12,100,67233,55757.0,57603.0,66840.0,32817.0,34298.0,0.0,True,True,False,False,False,506599,bovine gut metagenome,37445.0,,Cape buffalo,Syncerus caffer caffer,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Bovidae,g__Syncerus,s__Syncerus_caffer,2009-11-13,GAZ:South Africa,-23.82,31.44,0.0,0.0,300.0,rangeland biome,animal-associated habitat,feces,biome,terrestrial biome,anthropogenic terrestrial biome,rangeland biome,,,EMP sample,Host-associated,Animal,Animal distal gut,691.0,946.1735537190083,7.343807191854534,59.471468962804614,,,,,,,, +755.LSSF.ALPHA.D30.22.07.11.lane1.NoIndex.L001,TAATACGGATCG,GTGCCAGCMGCCGCGGTAA ,samples of sand from labscale_slow_sand filter with dirty sand: water purification system,XXQIITAXX,755,Replicating the microbial community and water quality performance of full-scale slow sand filters in laboratory-scale filters,Sarah Haig,10.1016/j.watres.2014.05.008,ERP020510,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,2013,150,90371,61531.0,66023.0,89038.0,48607.0,50437.0,37776.0,True,True,False,False,False,718308,biofilm metagenome,,,,,,,,,,,,,2011-07-22,GAZ:Scotland,55.873,-4.284,0.3,0.0,32.0,urban biome,biofilter,sand,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Free-living,Non-saline,Soil (non-saline),1408.0,2454.333333333333,9.277498385871029,120.96289225352112,20.7,,,,,,, +1774.111.Oral.Puer,CTCACGCAATGC,GGACTACHVGGGTWTCTAAT,111.Oral.Puer,21.Puer,1774,Puerto Rico and Plantanal samples for the western acculturation project,MG Dominguez-Bello,Missing: Not provided,ERP016472,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,6/27/13,100,38898,37208.0,37420.0,38690.0,25035.0,23812.0,0.0,True,True,True,False,False,447426,human oral metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,,GAZ:Puerto Rico,18.47,-66.11,0.0,0.0,7.79,urban biome,human-associated habitat,saliva,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal secretion,77.0,93.23529411764704,2.024576602879676,11.77951327482,,,,,,,, +1642.MS00355,ACGTGTAGGCTT,GTGCCAGCMGCCGCGGTAA,rhizosphere kasalath,MS00355,1642,Microbial community of the bulk soil and rhizosphere of rice plants over its lifecycle,Jose Clemente,Missing: Not provided,ERP016900,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,NIG-Japan,CCME,12/17/12,100,102882,84878.0,87086.0,101817.0,45204.0,45712.0,0.0,True,True,True,False,False,939928,rhizosphere metagenome,4530.0,rice,rice,Oryza sativa,sk__Eukaryota,k__Viridiplantae,p__Streptophyta,c__Liliopsida,o__Poales,f__Poaceae,g__Oryza,s__Oryza_sativa,2011-06-16,GAZ:Japan,35.117,138.937,,0.0,60.0,cropland biome,rice field,rhizosphere,biome,terrestrial biome,anthropogenic terrestrial biome,cropland biome,,,EMP sample,Host-associated,Plant,Plant rhizosphere,1449.0,2812.5454545454545,8.651614325961015,125.48631724565784,,,,,,,, +1696.X.A.0,CGTACCAGATCC,GTGCCAGCMGCCGCGGTAA,Spider monkey feces,X-A-0,1696,Gut microbiota and health in wild and captive colobine primates,Vanessa Hale,"10.1016/j.gecco.2016.06.004,10.1016/j.mimet.2015.03.021",ERP016329,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,6/27/13,100,7034,132.0,132.0,6117.0,71.0,71.0,0.0,True,False,False,False,False,410656,organismal metagenomes,9509.0,Spider monkey,black-handed spider monkey,Ateles geoffroyi,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Atelidae,g__Ateles,s__Ateles_geoffroyi,2012-11-02,GAZ:United States of America,40.417,86.875,0.0,0.0,938.168,urban biome,animal-associated habitat,feces,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal distal gut,,,,,,,,,,,, +1288.MAH20June07.McMahon.Pool.1.and.1percentPhiX.110310.HWUSI.EAS552R.0357.s.7.1.sequence,GTACGCACAGTT,GTGCCAGCMGCCGCGGTAA,freshwater metagenome MAH20June07,XXQIITAXX,1288,Bacterial community spatial and temporal variation in a north temperate bog lake,Katherine McMahon,Missing: Not provided,ERP016854,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,3/10/11,150,10343,6439.0,6915.0,10290.0,6451.0,6297.0,4523.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2007-06-20,GAZ:United States of America,37.09,-95.71,11.5,0.0,256.05,Small lake biome,freshwater lake,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),586.0,634.3809523809524,7.519757254421406,70.44321049970559,4.97,,,,,,, +894.YY1625.lane5.NoIndex.L005,CAAACTGCGTTG,GGACTACHVGGGTWTCTAAT,Kangaroo feces,YY1625,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,34315,33302.0,33674.0,34174.0,20380.0,21068.0,13472.0,True,True,False,False,False,749906,gut metagenome,9322.0,Kangaroo,kangaroo,Macropus sp.,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Diprotodontia,f__Macropodidae,g__Macropus,s__Macropus_sp.,2010-10-15,GAZ:Australia,-37.53966,145.139673,0.0,0.0,183.0036,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,27.0,29.0,2.431239512825431,6.341440543728499,,,,,,,, +894.UY162.lane3.NoIndex.L003,CAATCGGCTTGC,GGACTACHVGGGTWTCTAAT,Sambar deer feces,UY162,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,18097,16612.0,16621.0,17775.0,9408.0,8020.0,4578.0,True,True,False,False,False,749906,gut metagenome,662561.0,Sambar deer,Sambar,Rusa unicolor,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Cervidae,g__Rusa,s__Rusa_unicolor,2009-06-01,GAZ:Australia,-37.673563,145.89612,0.0,0.0,329.4906,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,69.0,80.33333333333333,4.243229744995533,9.43279677336,,,,,,,, +1288.WSBH10Sept07.McMahon.Pool.1.and.1percentPhiX.110310.HWUSI.EAS552R.0357.s.7.1.sequence,GCGTAGAGAGAC,GTGCCAGCMGCCGCGGTAA,freshwater metagenome WSBH10Sept07,XXQIITAXX,1288,Bacterial community spatial and temporal variation in a north temperate bog lake,Katherine McMahon,Missing: Not provided,ERP016854,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,3/10/11,150,9019,6558.0,7018.0,8971.0,6201.0,6023.0,4264.0,True,True,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2007-09-10,GAZ:United States of America,37.09,-95.71,4.0,0.0,256.05,Small lake biome,freshwater lake,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),191.0,202.0,5.178774995018161,28.145414573002192,18.0,,,,,,, +723.AcidLow1.G3.Catlin2.16Spool.110602.HWI.EAS137R.0375.s.5.1.sequence,GATCCTCATGCG,GTGCCAGCMGCCGCGGTAA,AcidLow1.G3 Ocean acidification experiment,AcidLow1,723,Catlin Arctic Survey 2010 L3,Helen Findlay,10.3389/fmicb.2014.00490,ERP020022,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,6/2/11,137,23782,22891.0,22917.0,23734.0,19379.0,19038.0,3508.0,True,True,True,True,False,1561972,seawater metagenome,,,,,,,,,,,,,2010-04-24,GAZ:Arctic Ocean,78.712,-104.878,25.0,0.0,0.0,marine pelagic biome,cold temperature habitat,sea water,biome,aquatic biome,marine biome,marine pelagic biome,,,EMP sample,Free-living,Saline,Water (saline),33.0,51.2,0.8495748131393785,7.697847854039999,-1.64,,34.33,,,,, +1024.HE003.C181.HA.5.138.rhizo.6.11.G1.L00,AGTACTGCAGGC,GTGCCAGCMGCCGCGGTAA,Rhizosphere,HS9,1024,The soil microbiome influences grapevine-associated microbiota (MiSeq),Jack Gilbert,10.1128/mBio.02527-14,ERP006348,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,MiSeq,ANL-Chicago,CCME,8/8/12,151,5858,3468.0,3830.0,5166.0,2816.0,2718.0,2037.0,True,False,False,False,False,939928,rhizosphere metagenome,,,,,,,,,,,,,2011-06-21,GAZ:United States of America,41.01023,-72.53063,,0.0,3.0,cropland biome,vineyard,rhizosphere,biome,terrestrial biome,anthropogenic terrestrial biome,cropland biome,,,EMP sample,Host-associated,Plant,Plant rhizosphere,,,,,,,,,,,, +2192.H03a.Hand.1261.lane6.NoIndex.L006,ACACAGTCCTGA,GT,H03a.Hand,Person_03.3,2192,Longitudinal analysis of microbial interaction between humans and the indoor environment,Jack Gilbert,10.1126/science.1254529,ERP005806,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,unknown,151,72389,69413.0,40842.0,72085.0,52014.0,50814.0,39490.0,True,True,False,False,False,539655,human skin metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2012-02-12,GAZ:United States of America,41.88,-87.63,0.0,0.0,181.32,urban biome,human-associated habitat,sebum,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal surface,160.0,421.625,3.025787136708324,23.07460433854301,,,,,,,, +1642.MS00011,TAGTAGCACCTG,GTGCCAGCMGCCGCGGTAA,Bulk soil unknown,MS00011,1642,Microbial community of the bulk soil and rhizosphere of rice plants over its lifecycle,Jose Clemente,Missing: Not provided,ERP016900,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,NIG-Japan,CCME,12/17/12,100,99991,77033.0,80207.0,98801.0,44531.0,45009.0,0.0,True,True,False,False,False,410658,soil metagenome,4530.0,rice,rice,Oryza sativa,sk__Eukaryota,k__Viridiplantae,p__Streptophyta,c__Liliopsida,o__Poales,f__Poaceae,g__Oryza,s__Oryza_sativa,2011-06-16,GAZ:Japan,35.117,138.937,,0.0,60.0,cropland biome,alluvial paddy field soil,soil,biome,terrestrial biome,anthropogenic terrestrial biome,cropland biome,,,EMP sample,Free-living,Non-saline,Soil (non-saline),1909.0,3358.0,10.188831567131489,156.0068421208329,,,,,,,, +550.L1S189.s.1.sequence,CACATTGTGAGC,GTGCCAGCMGCCGCGGTAA,sample_100 stool,M3,550,Moving pictures of the human microbiome,Rob Knight,10.1186/gb-2011-12-5-r50,ERP021896,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CGS-GL,8/27/10,132,40139,38358.0,38433.0,40057.0,26134.0,25682.0,1810.0,True,True,False,False,False,408170,human gut metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2008-12-27,GAZ:United States of America,40.015,-105.271,0.0,0.0,1624.1,urban biome,human-associated habitat,feces,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal distal gut,122.0,157.2,4.621056731029286,13.477916784573006,,,,,,,, +550.L5S106.s.5.sequence,ATACTCACTCAG,GTGCCAGCMGCCGCGGTAA,sample_1390 saliva,F4,550,Moving pictures of the human microbiome,Rob Knight,10.1186/gb-2011-12-5-r50,ERP021896,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CGS-GL,8/27/10,132,8353,8184.0,8212.0,8349.0,6462.0,6377.0,370.0,True,True,False,False,False,447426,human oral metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2008-10-30,GAZ:United States of America,40.015,-105.271,0.0,0.0,1624.1,urban biome,human-associated habitat,saliva,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Host-associated,Animal,Animal secretion,52.0,54.14285714285714,3.7353689517562376,9.82969405208,,,,,,,, +894.OS572.lane3.NoIndex.L003,GCGCCGAATCTT,GGACTACHVGGGTWTCTAAT,Sambar deer feces,OS572,894,Catchment sources of microbes,Robin Gasser,"10.1186/s13071-016-1607-1, 10.1016/j.watres.2012.12.027",ERP016405,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/15/12,150,25520,22426.0,23302.0,25130.0,12343.0,10478.0,5768.0,True,True,False,False,False,749906,gut metagenome,662561.0,Sambar deer,Sambar,Rusa unicolor,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__,f__Cervidae,g__Rusa,s__Rusa_unicolor,2009-12-10,GAZ:Australia,-37.708936,145.785023,0.0,0.0,23.2678,Large river biome,animal-associated habitat,feces,biome,aquatic biome,freshwater biome,freshwater river biome,Large river biome,,EMP sample,Host-associated,Animal,Animal distal gut,257.0,307.4,6.241352133281999,24.155178041421088,,,,,,,, +2229.W2.N2.6.HE5.Thomas.CMB.Seaweed.lane6.NoIndex.L006,ACATACTGAGCA,GTGCCAGCMGCCGCGGTAA,DNA from surface swab of Ecklonia radiata macro algae,UNSWW2 N2.6 HE512D1,2229,"Continental-scale variation in seaweed host-associated bacterial communities is a function of host condition, not geography",Torsten Thomas,10.1111/1462-2920.12972,ERP021895,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,3/1/14,145,27,3.0,3.0,27.0,0.0,0.0,0.0,True,False,False,False,False,1300146,algae metagenome,309355.0,kelp,,Ecklonia radiata,sk__Eukaryota,k__,p__Phaeophyceae,c__,o__Laminariales,f__Lessoniaceae,g__Ecklonia,s__Ecklonia_radiata,2011-10-06,GAZ:Australia,-35.859,150.1811,0.025,0.0,0.0,marine biome,kelp forest,organic material,biome,aquatic biome,marine biome,,,,EMP sample,Host-associated,Plant,Plant surface,,,,,12.99358065,,,,,,, +1235.sp0703,GACTCTGCTCAG,GTGCCAGCMGCCGCGGTAA,"water sample M3_C182,8_T+28_f3",sp0703,1235,Ocean acidification shows negligible impacts on high-latitude bacterial community structure in coastal pelagic mesocosms,Julie LaRoche,10.5194/bg-10-555-2013,ERP016542,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,2011,100,380245,353577.0,355865.0,378904.0,250380.0,241148.0,0.0,True,True,True,False,False,408172,marine metagenome,,,,,,,,,,,,,2010-07-05,GAZ:Norway,78.933,11.883,6.0,0.0,0.63,marine biome,fjord,sea water,biome,aquatic biome,marine biome,,,,EMP sample,Free-living,Saline,Water (saline),119.0,146.35294117647058,4.792777420708595,18.91693424867,,,,,,,, +990.KA2F.B.03,CAGCCGCATATC,GTGCCAGCMGCCGCGGTAA,Block_2_Fertilized_station_B_position_3 KA2F.B.03,KA2F.B.03,990,Spatial scale drives patterns in soil bacterial diversity,Dionysios Antonopoulos,10.1111/1462-2920.13231,ERP016752,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,2012,151,114193,87631.0,92574.0,112947.0,62957.0,64474.0,50667.0,True,True,False,False,False,410658,soil metagenome,,,,,,,,,,,,,2010-11-21,GAZ:United States of America,41.841124,-88.230357,0.025,0.0,226.0,urban biome,field soil,soil,biome,terrestrial biome,anthropogenic terrestrial biome,dense settlement biome,urban biome,,EMP sample,Free-living,Non-saline,Soil (non-saline),1153.0,2005.6279069767445,8.161750147071599,101.84313953829798,,,,,,,, +1242.ME08Jul04EB1R2,ACAATAGACACC,GTGCCAGCMGCCGCGGTAA,epilimnetic water sample ME08Jul04EB1R2,ME08Jul04EB1,1242,"A decade of seasonal dynamics and co-occurrences within freshwater bacterioplankton communities from eutrophic Lake Mendota, WI, USA",Katherine McMahon,10.1038/ismej.2012.118,ERP016591,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,2011,100,50,40.0,41.0,49.0,4.0,4.0,0.0,True,False,False,False,False,449393,freshwater metagenome,,,,,,,,,,,,,2004-07-08,GAZ:United States of America,43.107,-89.425,6.0,0.0,259.0,Small lake biome,freshwater lake,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),,,,,,,,,,,, +1774.40Oral23.10.09,GGAAGAAGTAGC,GGACTACHVGGGTWTCTAAT,40Oral23/10/09,40.Plantanal,1774,Puerto Rico and Plantanal samples for the western acculturation project,MG Dominguez-Bello,Missing: Not provided,ERP016472,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,CCME-Boulder,CCME,6/27/13,100,28486,26469.0,26836.0,28172.0,16393.0,15428.0,0.0,True,True,True,False,False,447426,human oral metagenome,9606.0,human,human,Homo sapiens,sk__Eukaryota,k__Metazoa,p__Chordata,c__Mammalia,o__Primates,f__Hominidae,g__Homo,s__Homo_sapiens,2009-10-23,GAZ:Venezuela,-2.4153,-64.9144,0.0,0.0,58.45,village biome,human-associated habitat,mucus,biome,terrestrial biome,anthropogenic terrestrial biome,village biome,,,EMP sample,Host-associated,Animal,Animal secretion,104.0,112.5,4.319977918695039,13.661079956029,,,,,,,, +933.T.1.2.H.E.5,ATCGATCCACAG,GTGCCAGCMGCCGCGGTAA,DNA from surface swab of Ecklonia radiata kelp,UNSW0110,933,Latitudinal surveys of algal-associated microorganisms,Torsten Thomas,10.1111/1462-2920.12972,ERP021699,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,unknown,100,183185,123685.0,129786.0,182371.0,93016.0,89336.0,0.0,True,True,True,True,False,718308,biofilm metagenome,309355.0,kelp,,Ecklonia radiata,sk__Eukaryota,k__,p__Phaeophyceae,c__,o__Laminariales,f__Lessoniaceae,g__Ecklonia,s__Ecklonia_radiata,2011-04-05,GAZ:Australia,-43.52965,146.95665,8.5,0.0,0.0,marine biome,kelp forest,biofilm,biome,aquatic biome,marine biome,,,,EMP sample,Host-associated,Plant,Plant surface,173.0,243.7142857142857,5.289240529347373,23.462034936044,14.16,,,,,,, +2229.S1.N2.6.HP2.Thomas.CMB.Seaweed.lane6.NoIndex.L006,GTGCACGATAAT,GTGCCAGCMGCCGCGGTAA,DNA from surface swab of Phyllospora comosa macro algae,UNSWS1-N2.6-HP26D4,2229,"Continental-scale variation in seaweed host-associated bacterial communities is a function of host condition, not geography",Torsten Thomas,10.1111/1462-2920.12972,ERP021895,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,ANL,3/1/14,145,66037,33769.0,26351.0,65652.0,45347.0,44403.0,16077.0,True,True,True,True,False,1300146,algae metagenome,112068.0,kelp,,Phyllospora comosa,sk__Eukaryota,k__,p__Phaeophyceae,c__,o__Fucales,f__Seirococcaceae,g__Phyllospora,s__Phyllospora_comosa,2012-02-14,GAZ:Australia,-35.859,150.1811,0.015,0.0,0.0,marine biome,kelp forest,organic material,biome,aquatic biome,marine biome,,,,EMP sample,Host-associated,Plant,Plant surface,89.0,114.3,3.8004916744128874,15.493587193363496,15.6,,,,,,, +1883.2009.229.Crump.Artic.LTREB.main.lane2.NoIndex,AGGAACCAGACG,GTGCCAGCMGCCGCGGTAA,lake water,XXQIITAXX,1883,Microbial diversity in arctic freshwaters is structured by inoculation of microbes from soils,Byron Crump,10.1038/ismej.2012.9,ERP017459,16S rRNA,V4,FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT,HiSeq,ANL-Chicago,CCME,2/1/14,138,35398,32764.0,32904.0,35172.0,24921.0,24148.0,70.0,True,True,True,True,False,449393,freshwater metagenome,,,,,,,,,,,,,2009-01-01,GAZ:United States of America,68.49113,-149.60796,0.01,0.0,937.0,Small lake biome,freshwater habitat,fresh water,biome,aquatic biome,freshwater biome,freshwater lake biome,Small lake biome,,EMP sample,Free-living,Non-saline,Water (non-saline),18.0,19.0,2.023755599916161,4.4025625715670005,17.5,7.7,,,,,, diff --git a/docs/example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/2_animal_samples_map.png b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/2_animal_samples_map.png new file mode 100644 index 0000000..fbc5743 Binary files /dev/null and b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/2_animal_samples_map.png differ diff --git a/docs/example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/3_plant_samples_map.json b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/3_plant_samples_map.json new file mode 100644 index 0000000..4ba4763 --- /dev/null +++ b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/3_plant_samples_map.json @@ -0,0 +1 @@ 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(non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water 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(saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water 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(non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water 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(non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water 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(non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water 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(non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water 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(non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water 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(non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Water (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Water (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Water (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Sediment (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Sediment (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Sediment (non-saline)","Sediment (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Soil (non-saline)","Soil (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water 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(non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Surface (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water (non-saline)","Water 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corpus,16 +20909,301,68,1747.c.v.v.2011012.oral,k__Bacteria;p__Fusobacteria,Animal secretion,12 +5343,1144,76,1747.L00376.81812.drool1,k__Bacteria;p__Acidobacteria,Animal secretion,12 +31303,815,81,1774.64.Skin.Puer,k__Bacteria;p__Firmicutes,Animal surface,15 +5869,1717,52,2382.RU006.C181.RH.5.597.rhizo.4.12.lane7.NoIndex.L007.sequences,k__Bacteria;p__SR1,Plant rhizosphere,7 +17121,523,80,1773.Zono.capensis1.ugi,unclassified,Animal proximal gut,13 +29363,1715,70,2382.HE003.C181.HA.5.572.rhizo.4.12.lane7.NoIndex.L007.sequences,k__Archaea;p__Euryarchaeota,Plant rhizosphere,7 +21513,1615,54,809.PLRP20.106,k__Bacteria;p__GN04,Surface (non-saline),10 +30353,1133,84,1035.UQ223,k__Bacteria;p__Bacteroidetes,Soil (non-saline),9 +18360,1523,40,809.PLRP12.60,k__Bacteria;p__SBR1093,Surface (non-saline),10 +28426,1886,71,1883.2008.144.Crump.Artic.LTREB.main.lane2.NoIndex,k__Bacteria;p__Armatimonadetes,Sediment (non-saline),11 +34063,925,82,662.M35,k__Bacteria;p__Cyanobacteria,Surface (saline),5 +9146,754,79,804.LS11.131,k__Bacteria;p__Verrucomicrobia,Surface (saline),5 +8687,1576,60,2382.SH008.C6.HA.4.543.root.4.12.lane7.NoIndex.L007.sequences,k__Bacteria;p__GN02,Plant rhizosphere,7 +14948,1769,39,1883.2007.369.Crump.Artic.LTREB.main.lane2.NoIndex,k__Bacteria;p__PAUC34f,Sediment (non-saline),11 +1278,1984,34,678.T.RFLP.Sample.636,k__Bacteria;p__WWE1,Sediment (saline),3 +21122,1788,55,1521.228.1.1.s.7.1.sequences,k__Bacteria;p__TM7,Water (non-saline),8 +15325,1279,78,804.H08.080105.Bio5slurpB1.0428.3.1,k__Bacteria;p__Planctomycetes,Surface (saline),5 +13610,1242,81,1747.209107.holding.pen.A.debris,k__Bacteria;p__Firmicutes,Plant corpus,1 +19284,1827,28,1627.LBC1,k__Bacteria;p__WS1,Sediment (saline),3 +618,1516,76,1031.HJDF2,k__Bacteria;p__Acidobacteria,Soil (non-saline),9 +12859,1492,80,1039.I.Fundao.SA,unclassified,Water (saline),6 +17411,1657,80,722.AQC4cm.7.s.8.1.sequence,unclassified,Water (non-saline),8 +20134,1627,63,2382.SH004.C1.RH.5.423.root.4.12.lane7.NoIndex.L007.sequences,k__Bacteria;p__Elusimicrobia,Plant rhizosphere,7 +2308,647,82,1748.5.15.12.FI.25.V,k__Bacteria;p__Cyanobacteria,Animal secretion,12 +1291,1984,21,678.T.RFLP.Sample.636,k__Bacteria;p__SC4,Sediment (saline),3 +11915,1274,62,1622.PP.51.52B,k__Bacteria;p__OP3,Sediment (non-saline),11 +13776,1317,78,1240.1512BCDNA,k__Bacteria;p__Planctomycetes,Water (saline),6 +7028,1721,78,905.SA.Station.3.t0,k__Bacteria;p__Planctomycetes,Sediment (saline),3 +32121,1446,76,2382.GM.181.R2.root.10.12.lane7.NoIndex.L007.sequences,k__Bacteria;p__Acidobacteria,Plant rhizosphere,7 +21832,363,80,1235.sp0192,unclassified,Water (saline),6 +12986,1818,46,1521.87.W.s.6.1.sequences,k__Bacteria;p__FCPU426,Water (non-saline),8 +28046,1678,75,1883.2011.541.Crump.Artic.LTREB.main.lane3.NoIndex,k__Bacteria;p__Gemmatimonadetes,Sediment (saline),3 +19718,457,81,1773.Thraupis.gauco2,k__Bacteria;p__Firmicutes,Animal proximal gut,13 +2743,480,79,1773.Columb.passer8.crop,k__Bacteria;p__Verrucomicrobia,Animal proximal gut,13 +7616,1740,64,1883.2011.362.Crump.Artic.LTREB.main.lane4.NoIndex,k__Bacteria;p__WS3,Surface (non-saline),10 +30181,1542,70,2382.SH007.C6.RH.4.718.root.9.12.lane7.NoIndex.L007.sequences,k__Archaea;p__Euryarchaeota,Plant rhizosphere,7 +4990,1806,61,722.TRRsed2.5.s.6.1.sequence,k__Bacteria;p__Fibrobacteres,Sediment (non-saline),11 +29823,603,71,925.SG4y,k__Bacteria;p__Armatimonadetes,Surface (non-saline),10 +33826,1158,50,1632.E1F01.r.EMPbird.v4.NoIndex.L001,k__Bacteria;p__FBP,Animal surface,15 +12422,1965,74,1883.2008.147.Crump.Artic.LTREB.main.lane2.NoIndex,k__Archaea;p__Crenarchaeota,Sediment (non-saline),11 +8928,896,82,2229.S2.T2.4.HP1.Thomas.CMB.Seaweed.lane6.NoIndex.L006,k__Bacteria;p__Cyanobacteria,Plant surface,2 +22352,1915,68,804.H08.080105.Bio5slurpB1.0428.4.1,k__Bacteria;p__Fusobacteria,Surface (saline),5 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100644 index 0000000..b3de942 --- /dev/null +++ b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/3_Network_analysis/1_phyla_association_networks/2_phyla_correlation_network_with_0.5_threshold_edgelist.csv @@ -0,0 +1,43 @@ +source,target +WS3,Chloroflexi +WS3,GN04 +Elusimicrobia,Chlorobi +Elusimicrobia,GOUTA4 +Acidobacteria,Verrucomicrobia +Acidobacteria,Gemmatimonadetes +Parvarchaeota,OP11 +Chloroflexi,Chlorobi +Chloroflexi,OP8 +Chloroflexi,GOUTA4 +KSB3,Caldithrix +KSB3,LCP-89 +OP3,Crenarchaeota +OP3,OP8 +OP3,NKB19 +OP3,SC4 +OP3,AC1 +Chlorobi,WS4 +Chlorobi,GOUTA4 +Chlorobi,NC10 +Caldithrix,GN04 +Caldithrix,LCP-89 +WS4,GOUTA4 +OD1,OP11 +Crenarchaeota,OP8 +Crenarchaeota,NKB19 +Crenarchaeota,SC4 +Crenarchaeota,AC1 +OP8,NKB19 +OP8,SC4 +OP8,AC1 +GN04,MVS-104 +GN04,GOUTA4 +CD12,OP9 +NKB19,SC4 +NKB19,AC1 +SC4,AC1 +GOUTA4,NC10 +OP1,NPL-UPA2 +TA06,AC1 +Aquificae,OctSpA1-106 +BHI80-139,VHS-B3-43 diff --git a/docs/example_data/Earth_microbiome_vuegen_demo_notebook/3_Network_analysis/1_phyla_association_networks/3_phyla_correlation_network_with_0.5_threshold.png b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/3_Network_analysis/1_phyla_association_networks/3_phyla_correlation_network_with_0.5_threshold.png new file mode 100644 index 0000000..dbed930 Binary files /dev/null and b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/3_Network_analysis/1_phyla_association_networks/3_phyla_correlation_network_with_0.5_threshold.png differ diff --git a/docs/example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml new file mode 100644 index 0000000..c7847d5 --- /dev/null +++ b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/Earth_microbiome_vuegen_demo_notebook_config.yaml @@ -0,0 +1,140 @@ +report: + title: Earth Microbiome Vuegen Demo Notebook + description: "The Earth Microbiome Project (EMP) is a systematic attempt to characterize\ + \ global microbial taxonomic and functional diversity for the benefit of the planet\ + \ and humankind. \n It aimed to sample the Earth\u2019s microbial communities\ + \ at an unprecedented scale in order to advance our understanding of the organizing\ + \ biogeographic principles that govern microbial community structure. \n The\ + \ EMP dataset is generated from samples that individual researchers have compiled\ + \ and contributed to the EMP. \n The result is both a reference database giving\ + \ global context to DNA sequence data and a framework for incorporating data from\ + \ future studies, fostering increasingly complete characterization of Earth\u2019\ + s microbial diversity.\n \n You can find more information about the Earth Microbiome\ + \ Project at https://earthmicrobiome.org/ and in the [original article](https://www.nature.com/articles/nature24621).\n" + graphical_abstract: '' + logo: '' +sections: +- title: Exploratory Data Analysis + description: '' + subsections: + - title: Sample Exploration + description: '' + components: + - title: Metadata Random Subset + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/1_metadata_random_subset.csv + description: '' + caption: '' + component_type: DATAFRAME + file_format: CSV + delimiter: ',' + - title: Animal Samples Map + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/2_animal_samples_map.png + description: '' + caption: '' + component_type: PLOT + plot_type: STATIC + - title: Plant Samples Map + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/3_plant_samples_map.json + description: '' + caption: '' + component_type: PLOT + plot_type: PLOTLY + - title: Saline Samples Map + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/1_Exploratory_data_analysis/1_sample_exploration/4_saline_samples_map.json + description: '' + caption: '' + component_type: PLOT + plot_type: ALTAIR +- title: Metagenomics + description: '' + subsections: + - title: Alpha Diversity + description: '' + components: + - title: Alpha Diversity Host Associated Samples + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/2_Metagenomics/1_alpha_diversity/1_alpha_diversity_host_associated_samples.png + description: '' + caption: '' + component_type: PLOT + plot_type: STATIC + - title: Alpha Diversity Free Living Samples + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/2_Metagenomics/1_alpha_diversity/2_alpha_diversity_free_living_samples.json + description: '' + caption: '' + component_type: PLOT + plot_type: PLOTLY + - title: Average Copy Number + description: '' + components: + - title: Average Copy Number Emp Ontology Level2 + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/2_Metagenomics/2_average_copy_number/1_average_copy_number_emp_ontology_level2.png + description: '' + caption: '' + component_type: PLOT + plot_type: STATIC + - title: Average Copy Number Emp Ontology Level3 + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/2_Metagenomics/2_average_copy_number/2_average_copy_number_emp_ontology_level3.json + description: '' + caption: '' + component_type: PLOT + plot_type: PLOTLY + - title: Nestedness + description: '' + components: + - title: Nestedness Random Subset + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/2_Metagenomics/3_nestedness/1_nestedness_random_subset.csv + description: '' + caption: '' + component_type: DATAFRAME + file_format: CSV + delimiter: ',' + - title: All Samples + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/2_Metagenomics/3_nestedness/2_all_samples.json + description: '' + caption: '' + component_type: PLOT + plot_type: PLOTLY + - title: Plant Samples + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/2_Metagenomics/3_nestedness/3_plant_samples.json + description: '' + caption: '' + component_type: PLOT + plot_type: PLOTLY + - title: Animal Samples + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/2_Metagenomics/3_nestedness/4_animal_samples.png + description: '' + caption: '' + component_type: PLOT + plot_type: STATIC + - title: Non Saline Samples + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/2_Metagenomics/3_nestedness/5_non_saline_samples.png + description: '' + caption: '' + component_type: PLOT + plot_type: STATIC +- title: Network Analysis + description: '' + subsections: + - title: Phyla Association Networks + description: '' + components: + - title: Phyla Counts Subset + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/3_Network_analysis/1_phyla_association_networks/1_phyla_counts_subset.csv + description: '' + caption: '' + component_type: DATAFRAME + file_format: CSV + delimiter: ',' + - title: Phyla Correlation Network With 0.5 Threshold Edgelist + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/3_Network_analysis/1_phyla_association_networks/2_phyla_correlation_network_with_0.5_threshold_edgelist.csv + description: '' + caption: '' + component_type: PLOT + plot_type: INTERACTIVE_NETWORK + csv_network_format: EDGELIST + - title: Phyla Correlation Network With 0.5 Threshold + file_path: example_data/Earth_microbiome_vuegen_demo_notebook/3_Network_analysis/1_phyla_association_networks/3_phyla_correlation_network_with_0.5_threshold.png + description: '' + caption: '' + component_type: PLOT + plot_type: STATIC diff --git a/docs/example_data/Earth_microbiome_vuegen_demo_notebook/description.md b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/description.md new file mode 100644 index 0000000..e86799b --- /dev/null +++ b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/description.md @@ -0,0 +1,7 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a/docs/example_data/Earth_microbiome_vuegen_demo_notebook/emp_deblur_100bp.subset_2k.rare_5000.biom b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/emp_deblur_100bp.subset_2k.rare_5000.biom new file mode 100644 index 0000000..a2e6bdc Binary files /dev/null and b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/emp_deblur_100bp.subset_2k.rare_5000.biom differ diff --git a/docs/example_data/Earth_microbiome_vuegen_demo_notebook/emp_logo.png b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/emp_logo.png new file mode 100644 index 0000000..d030d2a Binary files /dev/null and b/docs/example_data/Earth_microbiome_vuegen_demo_notebook/emp_logo.png differ diff --git a/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/1_Abundance_data/1_top_species_plot_biome.json b/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/1_Abundance_data/1_top_species_plot_biome.json deleted file mode 100644 index 5ea3557..0000000 --- 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\ No newline at end of file diff --git a/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/3_number_samples_per_study.png b/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/3_number_samples_per_study.png deleted file mode 100644 index fd164ab..0000000 Binary files a/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/3_number_samples_per_study.png and /dev/null differ diff --git a/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/4_sample_info_allbiomes.parquet b/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/4_sample_info_allbiomes.parquet deleted file mode 100644 index ef916c3..0000000 Binary files a/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/4_sample_info_allbiomes.parquet and /dev/null differ diff --git a/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/5_sample_info_allbiomes.txt b/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/5_sample_info_allbiomes.txt deleted file mode 100644 index 7e4e928..0000000 --- a/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/5_sample_info_allbiomes.txt +++ /dev/null @@ -1,844 +0,0 @@ -sample_id sample_name biosample sample_description latitude longitude geolocation biome biome_feature biome_material assembly_run_ids study_id -SRS976606 PtcB-09 SAMN03792071 Illumina HiSeq1500 shotgun-sequencing -34.07 -59.07 wastewater treatment plant activated sludge "['ERZ794912', 'ERZ842394', 'SRR2107176', 'SRR2107177']" MGYS00002058 -SRS976079 SwgA-13 SAMN03794762 Illumina HiSeq1500 shotgun-sequencing -34.82 -58.17 wastewater treatment plant activated sludge "['ERZ794919', 'ERZ842397', 'SRR2107212', 'SRR2107213']" MGYS00002058 -SRS976068 Txt-08 SAMN03794739 Illumina HiSeq1500 shotgun-sequencing -34.84 -58.2 wastewater treatment plant activated sludge "['ERZ794913', 'ERZ794932', 'SRR2107178', 'SRR2107179']" MGYS00002058 -SRS976082 SwgA-08 SAMN03794758 Illumina HiSeq1500 shotgun-sequencing -34.82 -58.17 wastewater treatment plant activated sludge "['ERZ794914', 'SRR2107210', 'SRR2107211']" MGYS00002058 -SRS976061 PtcA-09 SAMN03792045 Illumina HiSeq1500 shotgun-sequencing -34.65 -58.32 wastewater treatment plant activated sludge "['ERZ794915', 'ERZ794933']" MGYS00002058 -SRS976081 Why-11 SAMN03794747 Illumina HiSeq1500 shotgun-sequencing -30.94 -62.05 wastewater treatment plant activated sludge "['ERZ794916', 'SRR2107184', 'SRR2107185']" MGYS00002058 -SRS976062 PtcB-08 SAMN03792070 Illumina HiSeq1500 shotgun-sequencing -34.07 -59.07 wastewater treatment plant activated sludge ['ERZ794917'] MGYS00002058 -SRS976063 PtcA-11 SAMN03792069 Illumina HiSeq1500 shotgun-sequencing -34.65 -58.32 wastewater treatment plant activated sludge "['ERZ794918', 'ERZ794928']" MGYS00002058 -SRS976080 SwgB-12 SAMN03794764 Illumina HiSeq1500 shotgun-sequencing -34.47 -58.59 wastewater treatment plant activated sludge "['ERZ794920', 'SRR2107216', 'SRR2107215']" MGYS00002058 -SRS976605 SwgB-13 SAMN03794765 Illumina HiSeq1500 shotgun-sequencing -34.47 -58.59 wastewater treatment plant activated sludge "['ERZ794921', 'ERZ794929', 'SRR2107219', 'SRR2107218']" MGYS00002058 -SRS976072 Txt-11 SAMN03794741 Illumina HiSeq1500 shotgun-sequencing -34.84 -58.2 wastewater treatment plant activated sludge "['ERZ794930', 'SRR2107181', 'SRR2107180']" MGYS00002058 -SRS976078 Why-10 SAMN03794746 Illumina HiSeq1500 shotgun-sequencing -30.94 -62.05 wastewater treatment plant activated sludge "['ERZ794931', 'SRR2107182', 'SRR2107183']" MGYS00002058 -SRS2422719 HS0 SAMN07488724 HS0 ['ERZ781404'] MGYS00005011 -SRS2422978 HS5 SAMN07488725 HS5 ['ERZ781406'] MGYS00005011 -SRS2422979 HS50 SAMN07488726 HS50 ['ERZ781405'] MGYS00005011 -SRS2212571 Gp0115564 SAMN06343852 "Active sludge microbial communities from Klosterneuburg, Austria, studying microevolution and ecology of nitrifiers - Klosterneuburg WWTP active sludge metagenome KNB14_supernatant" 48.3 16.2 Austria: Klosterneuburg ['ERZ795076'] MGYS00004949 -SRS1687471 Gp0138836 SAMN05720170 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from Canada - AD_UKC129_MetaG 49.25 -123.1 Canada ['ERZ795381'] MGYS00004983 -SRS1791886 Gp0138786 SAMN05720223 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from Hong Kong - AD_UKC111_MetaG 22.28 114.17 Hong Kong ['ERZ764804'] MGYS00003395 -SRS1791882 Gp0138788 SAMN05720164 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from Hong Kong - AD_UKC115_MetaG 22.28 114.17 Hong Kong ['ERZ778038'] MGYS00004767 -SRS1791674 Gp0138781 SAMN05720284 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from Hong Kong - AD_UKC117_MetaG 22.28 114.17 Hong Kong ['ERZ795053'] MGYS00004926 -SRS1914373 D5 SAMN06216280 Sewage sludge 30.59 121.14 "China:Songjiang, Shanghai" ['ERZ795067'] MGYS00004940 -SRS1060545 ES SAMN04041125 ES 34.64 119.17 China ['ERZ795009'] MGYS00005006 -SRS1060554 EG SAMN04041126 EG 34.65 119.17 China ['ERZ795010'] MGYS00005006 -SRS3255898 BPA-DNA-1 SAMN08937787 DNA sample obtained before BPA adding (Phase I) 22.25 114.1667 China: Hong Kong bisphenol A culture medium BPA degrading-0 sludge-water ['ERZ782916'] MGYS00005025 -SRS3255899 BPA-DNA-2 SAMN08937788 DNA sample obtained after BPA added for 14-15hrs 22.25 114.1667 China: Hong Kong bisphenol A culture medium BPA degrading-14 sludge-water ['ERZ782915'] MGYS00005025 -SRS3255900 BPA-RNA-1 SAMN08937789 RNA sample obtained before BPA adding (Phase I) 22.25 114.1667 China: Hong Kong bisphenol A culture medium BPA degrading-0-1 sludge-water ['ERZ782927'] MGYS00005025 -SRS3255901 BPA-RNA-2 SAMN08937790 RNA sample obtained before BPA adding (Phase I) 22.25 114.1667 China: Hong Kong bisphenol A culture medium BPA degrading-0-2 sludge-water ['ERZ782929'] MGYS00005025 -SRS3255902 BPA-RNA-3 SAMN08937791 RNA sample obtained after BPA added for 2-3 hrs (Phase II) 22.25 114.1667 China: Hong Kong bisphenol A culture medium BPA degrading-2-1 sludge-water ['ERZ782928'] MGYS00005025 -SRS3255903 BPA-RNA-4 SAMN08937792 RNA sample obtained after BPA added for 2-3 hrs (Phase II) 22.25 114.1667 China: Hong Kong bisphenol A culture medium BPA degrading-2-2 sludge-water ['ERZ782923'] MGYS00005025 -SRS3255904 BPA-RNA-5 SAMN08937793 RNA sample obtained after BPA added for 14-15 hrs (Phase III) 22.25 114.1667 China: Hong Kong bisphenol A culture medium BPA degrading-14-1 sludge-water ['ERZ782930'] MGYS00005025 -SRS3255905 BPA-RNA-6 SAMN08937794 RNA sample obtained after BPA added for 14-15 hrs (Phase III) 22.25 114.1667 China: Hong Kong bisphenol A culture medium BPA degrading-14-2 sludge-water ['ERZ782925'] MGYS00005025 -SRS3255906 BPA-RNA-7 SAMN08937795 RNA sample obtained after BPA added for 24-25 hrs (Phase IV) 22.25 114.1667 China: Hong Kong bisphenol A culture medium BPA degrading-24-1 sludge-water ['ERZ782926'] MGYS00005025 -SRS3255907 BPA-RNA-8 SAMN08937796 RNA sample obtained after BPA added for 24-25 hrs (Phase IV) 22.25 114.1667 China: Hong Kong bisphenol A culture medium BPA degrading-24-2 sludge-water ['ERZ782924'] MGYS00005025 -ERS666855 DNA1 SAMEA3270999 DNA1 57.0495 9.8648 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERR770579'] MGYS00001382 -ERS666856 DNA2 SAMEA3271000 DNA2 57.0495 9.8648 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERR770580'] MGYS00001382 -ERS666857 DNA3 SAMEA3271001 DNA3 57.0495 9.8648 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERR770581'] MGYS00001382 -ERS666858 RNA1 SAMEA3271002 RNA1 57.0495 9.8648 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERR770582'] MGYS00001382 -ERS666859 RNA2 SAMEA3271003 RNA2 57.0495 9.8648 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERR770583'] MGYS00001382 -ERS666860 RNA3 SAMEA3271004 RNA3 57.0495 9.8648 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERR770584'] MGYS00001382 -ERS632924 AAW-3-2012 SAMEA3180052 Aalborg West Q3 2012 57.0495 9.8648 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERZ1764620'] MGYS00005802 -ERS632917 AAW-4-2010 SAMEA3180045 Aalborg West Q4 2010 57.0495 9.8648 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERZ1764613'] MGYS00005802 -ERS632927 EJB-4-2011 SAMEA3180055 Ejby Moelle Q4 2011 55.3995 10.4148 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERZ1764614'] MGYS00005802 -ERS632929 EGA-2-2011 SAMEA3180057 Egaa Q2 2011 56.2131 10.2425 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERZ1764618'] MGYS00005802 -ERS632918 AAW-5-2010-A SAMEA3180046 Aalborg West Q5 2010 A 57.0495 9.8648 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERZ1764622'] MGYS00005802 -ERS632919 AAW-5-2010-B SAMEA3180047 Aalborg West Q2 2010 B 57.0495 9.8648 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERZ1764624'] MGYS00005802 -SRS1791806 Gp0138806 SAMN05720220 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from Japan - AD_JPNNA7_MetaG 37.43 138.83 Japan ['ERZ778037'] MGYS00004766 -SRS1687463 Gp0138833 SAMN05720146 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from Japan - AD_JPNAS1_MetaG 43.77 142.37 Japan ['ERZ795030'] MGYS00004911 -SRS1687472 Gp0138835 SAMN05720147 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from Japan - AD_JPNAS3_MetaG 43.77 142.37 Japan ['ERZ795049'] MGYS00004922 -SRS1791743 Gp0138834 SAMN05720210 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from Japan - AD_JPNAS2_MetaG 43.77 142.37 Japan ['ERZ795058'] MGYS00004931 -SRS1791745 Gp0138803 SAMN05720157 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from Japan - AD_JPNMR2_MetaG 36.29 139.38 Japan ['ERZ795060'] MGYS00004933 -ERS918710 Activated sludge samples taken from Kocejve WWTP on the 24th of september 2012 SAMEA3611561 Activated sludge samples taken from Kocejve WWTP on the 24th of september 2012 45.643 14.8619 Slovenia Urban Wastewater Treatment Plant Activated Sludge "['ERR1076076', 'ERR1076078', 'ERR1076077', 'ERR1076074', 'ERR1076081', 'ERR1076073', 'ERR1076082', 'ERR1076079', 'ERR1076075', 'ERR1076080']" MGYS00001391 -ERS1162588 SWESTP59 SAMEA3991478 Uppsala-primary/surplus 201 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sludge ['ERR1414267'] MGYS00001110 -ERS1162592 SWESTP63 SAMEA3991482 Kappala-primary 226 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant raw primary sludge ['ERR1414271'] MGYS00001110 -ERS1162586 SWESTP57 SAMEA3991476 Uppsala-treated 169 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant surface water ['ERR1414265'] MGYS00001110 -ERS1162530 Uppsala-primary/surplus 102 SAMEA3991420 Uppsala-primary/surplus 102 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sludge ['ERR1414209'] MGYS00001110 -ERS1162531 Uppsala-primary/surplus 103 SAMEA3991421 Uppsala-primary/surplus 103 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sludge ['ERR1414210'] MGYS00001110 -ERS1162532 Uppsala-primary/surplus 104 SAMEA3991422 Uppsala-primary/surplus 104 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sludge ['ERR1414211'] MGYS00001110 -ERS1162533 Uppsala-surplus 105 SAMEA3991423 Uppsala-surplus 105 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414212'] MGYS00001110 -ERS1162534 Uppsala-surplus 106 SAMEA3991424 Uppsala-surplus 106 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414213'] MGYS00001110 -ERS1162535 Uppsala-surplus 107 SAMEA3991425 Uppsala-surplus 107 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414214'] MGYS00001110 -ERS1162536 Uppsala-surplus 108 SAMEA3991426 Uppsala-surplus 108 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414215'] MGYS00001110 -ERS1162537 Uppsala-digested 109 SAMEA3991427 Uppsala-digested 109 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414216'] MGYS00001110 -ERS1162538 Uppsala-digested 110 SAMEA3991428 Uppsala-digested 110 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414217'] MGYS00001110 -ERS1162539 Uppsala-digested 111 SAMEA3991429 Uppsala-digested 111 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414218'] MGYS00001110 -ERS1162540 Uppsala-digested 112 SAMEA3991430 Uppsala-digested 112 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414219'] MGYS00001110 -ERS1162541 Kappala-digested 113 SAMEA3991431 Kappala-digested 113 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414220'] MGYS00001110 -ERS1162542 Kappala-digested 114 SAMEA3991432 Kappala-digested 114 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414221'] MGYS00001110 -ERS1162543 Kappala-digested 115 SAMEA3991433 Kappala-digested 115 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414222'] MGYS00001110 -ERS1162544 Kappala-kemikond 117 SAMEA3991434 Kappala-kemikond 117 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414223'] MGYS00001110 -ERS1162545 Kappala-kemikond 118 SAMEA3991435 Kappala-kemikond 118 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414224'] MGYS00001110 -ERS1162546 Kappala-kemikond 119 SAMEA3991436 Kappala-kemikond 119 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414225'] MGYS00001110 -ERS1162547 Kappala-surplus 121 SAMEA3991437 Kappala-surplus 121 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414226'] MGYS00001110 -ERS1162548 Kappala-surplus 122 SAMEA3991438 Kappala-surplus 122 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414227'] MGYS00001110 -ERS1162549 Kappala-surplus 123 SAMEA3991439 Kappala-surplus 123 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414228'] MGYS00001110 -ERS1162550 Kappala-surplus 124 SAMEA3991440 Kappala-surplus 124 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414229'] MGYS00001110 -ERS1162551 Henriksdal-surplus 129 SAMEA3991441 Henriksdal-surplus 129 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414230'] MGYS00001110 -ERS1162552 Henriksdal-surplus 130 SAMEA3991442 Henriksdal-surplus 130 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414231'] MGYS00001110 -ERS1162553 Henriksdal-surplus 131 SAMEA3991443 Henriksdal-surplus 131 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414232'] MGYS00001110 -ERS1162554 Henriksdal-digested 137 SAMEA3991444 Henriksdal-digested 137 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414233'] MGYS00001110 -ERS1162555 Henriksdal-digested 138 SAMEA3991445 Henriksdal-digested 138 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414234'] MGYS00001110 -ERS1162556 Henriksdal-digested 139 SAMEA3991446 Henriksdal-digested 139 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414235'] MGYS00001110 -ERS1162557 Henriksdal-digested 140 SAMEA3991447 Henriksdal-digested 140 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414236'] MGYS00001110 -ERS1162558 Henriksdal-influent-HA 141 SAMEA3991448 Henriksdal-influent-HA 141 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414237'] MGYS00001110 -ERS1162559 Henriksdal-influent-HA 142 SAMEA3991449 Henriksdal-influent-HA 142 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414238'] MGYS00001110 -ERS1162560 Uppsala-influent-AD 143 SAMEA3991450 Uppsala-influent-AD 143 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414239'] MGYS00001110 -ERS1162561 Uppsala-influent-AD 144 SAMEA3991451 Uppsala-influent-AD 144 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414240'] MGYS00001110 -ERS1162562 Uppsala-influent-C 145 SAMEA3991452 Uppsala-influent-C 145 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414241'] MGYS00001110 -ERS1162563 Uppsala-influent-C 146 SAMEA3991453 Uppsala-influent-C 146 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414242'] MGYS00001110 -ERS1162564 Kappala-influent 147 SAMEA3991454 Kappala-influent 147 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414243'] MGYS00001110 -ERS1162565 Kappala-influent 148 SAMEA3991455 Kappala-influent 148 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414244'] MGYS00001110 -ERS1162566 Henriksdal-influent-S 149 SAMEA3991456 Henriksdal-influent-S 149 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414245'] MGYS00001110 -ERS1162567 Henriksdal-influent-S 150 SAMEA3991457 Henriksdal-influent-S 150 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414246'] MGYS00001110 -ERS1162568 Henriksdal-influent-HA 151 SAMEA3991458 Henriksdal-influent-HA 151 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414247'] MGYS00001110 -ERS1162569 Henriksdal-influent-HA 152 SAMEA3991459 Henriksdal-influent-HA 152 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414248'] MGYS00001110 -ERS1162570 Uppsala-influent-AD 153 SAMEA3991460 Uppsala-influent-AD 153 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414249'] MGYS00001110 -ERS1162571 Uppsala-influent-AD 154 SAMEA3991461 Uppsala-influent-AD 154 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414250'] MGYS00001110 -ERS1162572 Uppsala-influent-C 155 SAMEA3991462 Uppsala-influent-C 155 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414251'] MGYS00001110 -ERS1162573 Uppsala-influent-C 156 SAMEA3991463 Uppsala-influent-C 156 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414252'] MGYS00001110 -ERS1162574 Kappala-influent 157 SAMEA3991464 Kappala-influent 157 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414253'] MGYS00001110 -ERS1162575 Kappala-influent 158 SAMEA3991465 Kappala-influent 158 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414254'] MGYS00001110 -ERS1162576 Henriksdal-influent-S 159 SAMEA3991466 Henriksdal-influent-S 159 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414255'] MGYS00001110 -ERS1162577 Henriksdal-influent-S 160 SAMEA3991467 Henriksdal-influent-S 160 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant sewage ['ERR1414256'] MGYS00001110 -ERS1162578 Henriksdal-treated 161 SAMEA3991468 Henriksdal-treated 161 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant surface water ['ERR1414257'] MGYS00001110 -ERS1162579 Henriksdal-treated 162 SAMEA3991469 Henriksdal-treated 162 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant surface water ['ERR1414258'] MGYS00001110 -ERS1162580 Henriksdal-sandfiltered 163 SAMEA3991470 Henriksdal-sandfiltered 163 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant surface water ['ERR1414259'] MGYS00001110 -ERS1162581 Henriksdal-sandfiltered 164 SAMEA3991471 Henriksdal-sandfiltered 164 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant surface water ['ERR1414260'] MGYS00001110 -ERS1162582 Kappala-treated 165 SAMEA3991472 Kappala-treated 165 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant surface water ['ERR1414261'] MGYS00001110 -ERS1162583 Kappala-treated 166 SAMEA3991473 Kappala-treated 166 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant surface water ['ERR1414262'] MGYS00001110 -ERS1162584 Kappala-sandfiltered 167 SAMEA3991474 Kappala-sandfiltered 167 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant surface water ['ERR1414263'] MGYS00001110 -ERS1162585 Kappala-sandfiltered 168 SAMEA3991475 Kappala-sandfiltered 168 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant surface water ['ERR1414264'] MGYS00001110 -ERS1162587 Uppsala-treated 170 SAMEA3991477 Uppsala-treated 170 59.8445 17.6598 Sweden anthropogenic terrestrial biome sewage plant surface water ['ERR1414266'] MGYS00001110 -ERS1162589 Kappala-digested 216 SAMEA3991479 Kappala-digested 216 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414268'] MGYS00001110 -ERS1162590 Kappala-kemikond 220 SAMEA3991480 Kappala-kemikond 220 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant biosolids ['ERR1414269'] MGYS00001110 -ERS1162591 Kappala-primary 225 SAMEA3991481 Kappala-primary 225 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant raw primary sludge ['ERR1414270'] MGYS00001110 -ERS1162593 Kappala-primary 227 SAMEA3991483 Kappala-primary 227 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant raw primary sludge ['ERR1414272'] MGYS00001110 -ERS1162594 Kappala-primary 228 SAMEA3991484 Kappala-primary 228 59.3556 18.2271 Sweden anthropogenic terrestrial biome sewage plant raw primary sludge ['ERR1414273'] MGYS00001110 -ERS1162595 Henriksdal-surplus 232 SAMEA3991485 Henriksdal-surplus 232 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant activated sludge ['ERR1414274'] MGYS00001110 -ERS1162596 Henriksdal-primary 233 SAMEA3991486 Henriksdal-primary 233 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant raw primary sludge ['ERR1414275'] MGYS00001110 -ERS1162597 Henriksdal-primary 234 SAMEA3991487 Henriksdal-primary 234 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant raw primary sludge ['ERR1414276'] MGYS00001110 -ERS1162598 Henriksdal-primary 235 SAMEA3991488 Henriksdal-primary 235 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant raw primary sludge ['ERR1414277'] MGYS00001110 -ERS1162599 Henriksdal-primary 236 SAMEA3991489 Henriksdal-primary 236 59.3107 18.1084 Sweden anthropogenic terrestrial biome sewage plant raw primary sludge ['ERR1414278'] MGYS00001110 -ERS1110331 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923197 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356697', 'ERR1356696']" MGYS00000823 -ERS1110333 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923199 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356701', 'ERR1356700']" MGYS00000823 -ERS1110335 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923201 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356705', 'ERR1356704']" MGYS00000823 -ERS1110350 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923216 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356734', 'ERR1356735']" MGYS00000823 -ERS1110352 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923218 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356738', 'ERR1356739']" MGYS00000823 -ERS1110354 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923220 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356743', 'ERR1356742']" MGYS00000823 -ERS1110330 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923196 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356695', 'ERR1356694']" MGYS00000823 -ERS1110332 Unprocessed DNA and RNA sequences from wastewater treatment plant communities SAMEA3923198 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356699', 'ERR1356698']" MGYS00000823 -ERS1110351 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923217 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356737', 'ERR1356736']" MGYS00000823 -ERS1110355 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923221 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356745', 'ERR1356744']" MGYS00000823 -ERS1110357 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923223 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356748', 'ERR1356749']" MGYS00000823 -ERS1110358 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923224 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356751', 'ERR1356750']" MGYS00000823 -ERS1110329 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923195 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356693', 'ERR1356692']" MGYS00000823 -ERS1110338 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923204 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356710', 'ERR1356711']" MGYS00000823 -ERS1110339 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923205 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356712', 'ERR1356713']" MGYS00000823 -ERS1110341 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923207 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356717', 'ERR1356716']" MGYS00000823 -ERS1110359 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923225 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356752', 'ERR1356753']" MGYS00000823 -ERS1110340 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923206 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356714', 'ERR1356715']" MGYS00000823 -ERS1110342 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923208 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356718', 'ERR1356719']" MGYS00000823 -ERS1110343 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923209 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356721', 'ERR1356720']" MGYS00000823 -ERS1110344 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923210 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356723', 'ERR1356722']" MGYS00000823 -ERS1110345 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923211 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356725', 'ERR1356724']" MGYS00000823 -ERS1110347 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923213 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356729', 'ERR1356728']" MGYS00000823 -ERS1110346 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923212 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356726', 'ERR1356727']" MGYS00000823 -ERS1110348 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923214 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356730', 'ERR1356731']" MGYS00000823 -ERS1110349 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923215 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356733', 'ERR1356732']" MGYS00000823 -ERS1110363 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923229 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356761', 'ERR1356760']" MGYS00000823 -ERS1110364 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923230 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356763', 'ERR1356762']" MGYS00000823 -ERS1110334 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923200 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356703', 'ERR1356702']" MGYS00000823 -ERS1110336 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923202 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356707', 'ERR1356706']" MGYS00000823 -ERS1110353 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923219 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356741', 'ERR1356740']" MGYS00000823 -ERS1110360 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923226 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356754', 'ERR1356755']" MGYS00000823 -ERS1110361 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923227 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356757', 'ERR1356756']" MGYS00000823 -ERS1110362 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923228 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356758', 'ERR1356759']" MGYS00000823 -ERS1110337 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923203 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356709', 'ERR1356708']" MGYS00000823 -ERS1110356 Unprocessed DNA and RNA from wastewater treatment plant communities SAMEA3923222 36 samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1356746', 'ERR1356747']" MGYS00000823 -ERS2640788 B1cR1-1_Exp1 SAMEA4820898 Primer B1 Experiment 1 SRT 1 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729815'] MGYS00001910 -ERS2640789 B1cR1-1_Exp2 SAMEA4820899 Primer B1 Experiment 2 SRT 1 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729816'] MGYS00001910 -ERS2640790 B1cR1-2_Exp1 SAMEA4820900 Primer B1 Experiment 1 SRT 1 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729817'] MGYS00001910 -ERS2640791 B1cR1-2_Exp2 SAMEA4820901 Primer B1 Experiment 2 SRT 1 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729818'] MGYS00001910 -ERS2640792 B1cR1-3_Exp1 SAMEA4820902 Primer B1 Experiment 1 SRT 1 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729819'] MGYS00001910 -ERS2640793 B1cR1-3_Exp2 SAMEA4820903 Primer B1 Experiment 2 SRT 1 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729820'] MGYS00001910 -ERS2640794 B1cR2-1_Exp1 SAMEA4820904 Primer B1 Experiment 1 SRT 3 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729821'] MGYS00001910 -ERS2640795 B1cR2-1_Exp2 SAMEA4820905 Primer B1 Experiment 2 SRT 3 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729822'] MGYS00001910 -ERS2640796 B1cR2-2_Exp1 SAMEA4820906 Primer B1 Experiment 1 SRT 3 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729823'] MGYS00001910 -ERS2640797 B1cR2-2_Exp2 SAMEA4820907 Primer B1 Experiment 2 SRT 3 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729824'] MGYS00001910 -ERS2640798 B1cR2-3_Exp1 SAMEA4820908 Primer B1 Experiment 1 SRT 3 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729825'] MGYS00001910 -ERS2640799 B1cR2-3_Exp2 SAMEA4820909 Primer B1 Experiment 2 SRT 3 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729826'] MGYS00001910 -ERS2640800 B1cR3-1_Exp1 SAMEA4820910 Primer B1 Experiment 1 SRT 5 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729827'] MGYS00001910 -ERS2640801 B1cR3-1_Exp2 SAMEA4820911 Primer B1 Experiment 2 SRT 5 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729828'] MGYS00001910 -ERS2640802 B1cR3-2_Exp1 SAMEA4820912 Primer B1 Experiment 1 SRT 5 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729829'] MGYS00001910 -ERS2640803 B1cR3-2_Exp2 SAMEA4820913 Primer B1 Experiment 2 SRT 5 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729830'] MGYS00001910 -ERS2640804 B1cR3-3_Exp1 SAMEA4820914 Primer B1 Experiment 1 SRT 5 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729831'] MGYS00001910 -ERS2640805 B1cR3-3_Exp2 SAMEA4820915 Primer B1 Experiment 2 SRT 5 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729832'] MGYS00001910 -ERS2640806 B1cR4-1_Exp1 SAMEA4820916 Primer B1 Experiment 1 SRT 7 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729833'] MGYS00001910 -ERS2640807 B1cR4-1_Exp2 SAMEA4820917 Primer B1 Experiment 2 SRT 7 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729834'] MGYS00001910 -ERS2640808 B1cR4-2_Exp1 SAMEA4820918 Primer B1 Experiment 1 SRT 7 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729835'] MGYS00001910 -ERS2640809 B1cR4-2_Exp2 SAMEA4820919 Primer B1 Experiment 2 SRT 7 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729836'] MGYS00001910 -ERS2640810 B1cR4-3_Exp1 SAMEA4820920 Primer B1 Experiment 1 SRT 7 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729837'] MGYS00001910 -ERS2640811 B1cR4-3_Exp2 SAMEA4820921 Primer B1 Experiment 2 SRT 7 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729838'] MGYS00001910 -ERS2640812 B1cR5-1_Exp1 SAMEA4820922 Primer B1 Experiment 1 SRT 10 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729839'] MGYS00001910 -ERS2640813 B1cR5-1_Exp2 SAMEA4820923 Primer B1 Experiment 2 SRT 10 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729840'] MGYS00001910 -ERS2640814 B1cR5-2_Exp1 SAMEA4820924 Primer B1 Experiment 1 SRT 10 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729841'] MGYS00001910 -ERS2640815 B1cR5-2_Exp2 SAMEA4820925 Primer B1 Experiment 2 SRT 10 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729842'] MGYS00001910 -ERS2640816 B1cR5-3_Exp1 SAMEA4820926 Primer B1 Experiment 1 SRT 10 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729843'] MGYS00001910 -ERS2640817 B1cR5-3_Exp2 SAMEA4820927 Primer B1 Experiment 2 SRT 10 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729844'] MGYS00001910 -ERS2640818 B1cR6-1_Exp1 SAMEA4820928 Primer B1 Experiment 1 SRT 15 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729845'] MGYS00001910 -ERS2640819 B1cR6-1_Exp2 SAMEA4820929 Primer B1 Experiment 2 SRT 15 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729846'] MGYS00001910 -ERS2640820 B1cR6-2_Exp1 SAMEA4820930 Primer B1 Experiment 1 SRT 15 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729847'] MGYS00001910 -ERS2640821 B1cR6-2_Exp2 SAMEA4820931 Primer B1 Experiment 2 SRT 15 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729848'] MGYS00001910 -ERS2640822 B1cR6-3_Exp1 SAMEA4820932 Primer B1 Experiment 1 SRT 15 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729849'] MGYS00001910 -ERS2640823 B1cR6-3_Exp2 SAMEA4820933 Primer B1 Experiment 2 SRT 15 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729850'] MGYS00001910 -ERS2640824 B1gR1-1_Exp1 SAMEA4820934 Primer B1 Experiment 1 SRT 1 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729851'] MGYS00001910 -ERS2640825 B1gR1-1_Exp2 SAMEA4820935 Primer B1 Experiment 2 SRT 1 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729852'] MGYS00001910 -ERS2640826 B1gR1-2_Exp1 SAMEA4820936 Primer B1 Experiment 1 SRT 1 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729853'] MGYS00001910 -ERS2640827 B1gR1-2_Exp2 SAMEA4820937 Primer B1 Experiment 2 SRT 1 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729854'] MGYS00001910 -ERS2640828 B1gR1-3_Exp1 SAMEA4820938 Primer B1 Experiment 1 SRT 1 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729855'] MGYS00001910 -ERS2640829 B1gR1-3_Exp2 SAMEA4820939 Primer B1 Experiment 2 SRT 1 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729856'] MGYS00001910 -ERS2640830 B1gR2-1_Exp1 SAMEA4820940 Primer B1 Experiment 1 SRT 3 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729857'] MGYS00001910 -ERS2640831 B1gR2-1_Exp2 SAMEA4820941 Primer B1 Experiment 2 SRT 3 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729858'] MGYS00001910 -ERS2640832 B1gR2-2_Exp1 SAMEA4820942 Primer B1 Experiment 1 SRT 3 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729859'] MGYS00001910 -ERS2640833 B1gR2-2_Exp2 SAMEA4820943 Primer B1 Experiment 2 SRT 3 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729860'] MGYS00001910 -ERS2640834 B1gR2-3_Exp1 SAMEA4820944 Primer B1 Experiment 1 SRT 3 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729861'] MGYS00001910 -ERS2640835 B1gR2-3_Exp2 SAMEA4820945 Primer B1 Experiment 2 SRT 3 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729862'] MGYS00001910 -ERS2640836 B1gR3-1_Exp1 SAMEA4820946 Primer B1 Experiment 1 SRT 5 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729863'] MGYS00001910 -ERS2640837 B1gR3-1_Exp2 SAMEA4820947 Primer B1 Experiment 2 SRT 5 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729864'] MGYS00001910 -ERS2640838 B1gR3-2_Exp1 SAMEA4820948 Primer B1 Experiment 1 SRT 5 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729865'] MGYS00001910 -ERS2640839 B1gR3-2_Exp2 SAMEA4820949 Primer B1 Experiment 2 SRT 5 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729866'] MGYS00001910 -ERS2640840 B1gR3-3_Exp1 SAMEA4820950 Primer B1 Experiment 1 SRT 5 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729867'] MGYS00001910 -ERS2640841 B1gR3-3_Exp2 SAMEA4820951 Primer B1 Experiment 2 SRT 5 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729868'] MGYS00001910 -ERS2640842 B1gR4-1_Exp1 SAMEA4820952 Primer B1 Experiment 1 SRT 7 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729869'] MGYS00001910 -ERS2640843 B1gR4-1_Exp2 SAMEA4820953 Primer B1 Experiment 2 SRT 7 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729870'] MGYS00001910 -ERS2640844 B1gR4-2_Exp1 SAMEA4820954 Primer B1 Experiment 1 SRT 7 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729871'] MGYS00001910 -ERS2640845 B1gR4-2_Exp2 SAMEA4820955 Primer B1 Experiment 2 SRT 7 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729872'] MGYS00001910 -ERS2640846 B1gR4-3_Exp1 SAMEA4820956 Primer B1 Experiment 1 SRT 7 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729873'] MGYS00001910 -ERS2640847 B1gR4-3_Exp2 SAMEA4820957 Primer B1 Experiment 2 SRT 7 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729874'] MGYS00001910 -ERS2640848 B1gR5-1_Exp1 SAMEA4820958 Primer B1 Experiment 1 SRT 10 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729875'] MGYS00001910 -ERS2640849 B1gR5-1_Exp2 SAMEA4820959 Primer B1 Experiment 2 SRT 10 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729876'] MGYS00001910 -ERS2640850 B1gR5-2_Exp1 SAMEA4820960 Primer B1 Experiment 1 SRT 10 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729877'] MGYS00001910 -ERS2640851 B1gR5-2_Exp2 SAMEA4820961 Primer B1 Experiment 2 SRT 10 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729878'] MGYS00001910 -ERS2640852 B1gR5-3_Exp1 SAMEA4820962 Primer B1 Experiment 1 SRT 10 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729879'] MGYS00001910 -ERS2640853 B1gR5-3_Exp2 SAMEA4820963 Primer B1 Experiment 2 SRT 10 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729880'] MGYS00001910 -ERS2640854 B1gR6-1_Exp1 SAMEA4820964 Primer B1 Experiment 1 SRT 15 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729881'] MGYS00001910 -ERS2640855 B1gR6-1_Exp2 SAMEA4820965 Primer B1 Experiment 2 SRT 15 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729882'] MGYS00001910 -ERS2640856 B1gR6-2_Exp1 SAMEA4820966 Primer B1 Experiment 1 SRT 15 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729883'] MGYS00001910 -ERS2640857 B1gR6-2_Exp2 SAMEA4820967 Primer B1 Experiment 2 SRT 15 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729884'] MGYS00001910 -ERS2640858 B1gR6-3_Exp1 SAMEA4820968 Primer B1 Experiment 1 SRT 15 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729885'] MGYS00001910 -ERS2640859 B1gR6-3_Exp2 SAMEA4820969 Primer B1 Experiment 2 SRT 15 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729886'] MGYS00001910 -ERS2640860 B1-NEG_Exp2 SAMEA4820970 Primer B1 Experiment 2 Negative Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729887'] MGYS00001910 -ERS2640861 B1pos-1_Exp1 SAMEA4820971 Primer B1 Experiment 1 Positive Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729888'] MGYS00001910 -ERS2640862 B1pos-2_Exp1 SAMEA4820972 Primer B1 Experiment 1 Positive Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729889'] MGYS00001910 -ERS2640863 B1pos-3_Exp1 SAMEA4820973 Primer B1 Experiment 1 Positive Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729890'] MGYS00001910 -ERS2640864 B2cR1-1_Exp1 SAMEA4820974 Primer B2 Experiment 1 SRT 1 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729891'] MGYS00001910 -ERS2640865 B2cR1-1_Exp2 SAMEA4820975 Primer B2 Experiment 2 SRT 1 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729892'] MGYS00001910 -ERS2640866 B2cR1-2_Exp1 SAMEA4820976 Primer B2 Experiment 1 SRT 1 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729893'] MGYS00001910 -ERS2640867 B2cR1-2_Exp2 SAMEA4820977 Primer B2 Experiment 2 SRT 1 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729894'] MGYS00001910 -ERS2640868 B2cR1-3_Exp1 SAMEA4820978 Primer B2 Experiment 1 SRT 1 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729895'] MGYS00001910 -ERS2640869 B2cR1-3_Exp2 SAMEA4820979 Primer B2 Experiment 2 SRT 1 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729896'] MGYS00001910 -ERS2640870 B2cR2-1_Exp1 SAMEA4820980 Primer B2 Experiment 1 SRT 3 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729897'] MGYS00001910 -ERS2640871 B2cR2-1_Exp2 SAMEA4820981 Primer B2 Experiment 2 SRT 3 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729898'] MGYS00001910 -ERS2640872 B2cR2-2_Exp1 SAMEA4820982 Primer B2 Experiment 1 SRT 3 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729899'] MGYS00001910 -ERS2640873 B2cR2-2_Exp2 SAMEA4820983 Primer B2 Experiment 2 SRT 3 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729900'] MGYS00001910 -ERS2640874 B2cR2-3_Exp1 SAMEA4820984 Primer B2 Experiment 1 SRT 3 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729901'] MGYS00001910 -ERS2640875 B2cR2-3_Exp2 SAMEA4820985 Primer B2 Experiment 2 SRT 3 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729902'] MGYS00001910 -ERS2640876 B2cR3-1_Exp1 SAMEA4820986 Primer B2 Experiment 1 SRT 5 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729903'] MGYS00001910 -ERS2640877 B2cR3-1_Exp2 SAMEA4820987 Primer B2 Experiment 2 SRT 5 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729904'] MGYS00001910 -ERS2640878 B2cR3-2_Exp1 SAMEA4820988 Primer B2 Experiment 1 SRT 5 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729905'] MGYS00001910 -ERS2640879 B2cR3-2_Exp2 SAMEA4820989 Primer B2 Experiment 2 SRT 5 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729906'] MGYS00001910 -ERS2640880 B2cR3-3_Exp1 SAMEA4820990 Primer B2 Experiment 1 SRT 5 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729907'] MGYS00001910 -ERS2640881 B2cR3-3_Exp2 SAMEA4820991 Primer B2 Experiment 2 SRT 5 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729908'] MGYS00001910 -ERS2640882 B2cR4-1_Exp1 SAMEA4820992 Primer B2 Experiment 1 SRT 7 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729909'] MGYS00001910 -ERS2640883 B2cR4-1_Exp2 SAMEA4820993 Primer B2 Experiment 2 SRT 7 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729910'] MGYS00001910 -ERS2640884 B2cR4-2_Exp1 SAMEA4820994 Primer B2 Experiment 1 SRT 7 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729911'] MGYS00001910 -ERS2640885 B2cR4-2_Exp2 SAMEA4820995 Primer B2 Experiment 2 SRT 7 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729912'] MGYS00001910 -ERS2640886 B2cR4-3_Exp1 SAMEA4820996 Primer B2 Experiment 1 SRT 7 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729913'] MGYS00001910 -ERS2640887 B2cR4-3_Exp2 SAMEA4820997 Primer B2 Experiment 2 SRT 7 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729914'] MGYS00001910 -ERS2640888 B2cR5-1_Exp1 SAMEA4820998 Primer B2 Experiment 1 SRT 10 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729915'] MGYS00001910 -ERS2640889 B2cR5-1_Exp2 SAMEA4820999 Primer B2 Experiment 2 SRT 10 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729916'] MGYS00001910 -ERS2640890 B2cR5-2_Exp1 SAMEA4821000 Primer B2 Experiment 1 SRT 10 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729917'] MGYS00001910 -ERS2640891 B2cR5-2_Exp2 SAMEA4821001 Primer B2 Experiment 2 SRT 10 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729918'] MGYS00001910 -ERS2640892 B2cR5-3_Exp1 SAMEA4821002 Primer B2 Experiment 1 SRT 10 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729919'] MGYS00001910 -ERS2640893 B2cR5-3_Exp2 SAMEA4821003 Primer B2 Experiment 2 SRT 10 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729920'] MGYS00001910 -ERS2640894 B2cR6-1_Exp1 SAMEA4821004 Primer B2 Experiment 1 SRT 15 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729921'] MGYS00001910 -ERS2640895 B2cR6-1_Exp2 SAMEA4821005 Primer B2 Experiment 2 SRT 15 day cDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729922'] MGYS00001910 -ERS2640896 B2cR6-2_Exp1 SAMEA4821006 Primer B2 Experiment 1 SRT 15 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729923'] MGYS00001910 -ERS2640897 B2cR6-2_Exp2 SAMEA4821007 Primer B2 Experiment 2 SRT 15 day cDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729924'] MGYS00001910 -ERS2640898 B2cR6-3_Exp1 SAMEA4821008 Primer B2 Experiment 1 SRT 15 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729925'] MGYS00001910 -ERS2640899 B2cR6-3_Exp2 SAMEA4821009 Primer B2 Experiment 2 SRT 15 day cDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729926'] MGYS00001910 -ERS2640900 B2gR1-1_Exp1 SAMEA4821010 Primer B2 Experiment 1 SRT 1 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729927'] MGYS00001910 -ERS2640901 B2gR1-1_Exp2 SAMEA4821011 Primer B2 Experiment 2 SRT 1 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729928'] MGYS00001910 -ERS2640902 B2gR1-2_Exp1 SAMEA4821012 Primer B2 Experiment 1 SRT 1 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729929'] MGYS00001910 -ERS2640903 B2gR1-2_Exp2 SAMEA4821013 Primer B2 Experiment 2 SRT 1 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729930'] MGYS00001910 -ERS2640904 B2gR1-3_Exp1 SAMEA4821014 Primer B2 Experiment 1 SRT 1 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729931'] MGYS00001910 -ERS2640905 B2gR1-3_Exp2 SAMEA4821015 Primer B2 Experiment 2 SRT 1 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729932'] MGYS00001910 -ERS2640906 B2gR2-1_Exp1 SAMEA4821016 Primer B2 Experiment 1 SRT 3 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729933'] MGYS00001910 -ERS2640907 B2gR2-1_Exp2 SAMEA4821017 Primer B2 Experiment 2 SRT 3 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729934'] MGYS00001910 -ERS2640908 B2gR2-2_Exp1 SAMEA4821018 Primer B2 Experiment 1 SRT 3 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729935'] MGYS00001910 -ERS2640909 B2gR2-2_Exp2 SAMEA4821019 Primer B2 Experiment 2 SRT 3 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729936'] MGYS00001910 -ERS2640910 B2gR2-3_Exp1 SAMEA4821020 Primer B2 Experiment 1 SRT 3 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729937'] MGYS00001910 -ERS2640911 B2gR2-3_Exp2 SAMEA4821021 Primer B2 Experiment 2 SRT 3 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729938'] MGYS00001910 -ERS2640912 B2gR3-1_Exp1 SAMEA4821022 Primer B2 Experiment 1 SRT 5 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729939'] MGYS00001910 -ERS2640913 B2gR3-1_Exp2 SAMEA4821023 Primer B2 Experiment 2 SRT 5 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729940'] MGYS00001910 -ERS2640914 B2gR3-2_Exp1 SAMEA4821024 Primer B2 Experiment 1 SRT 5 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729941'] MGYS00001910 -ERS2640915 B2gR3-2_Exp2 SAMEA4821025 Primer B2 Experiment 2 SRT 5 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729942'] MGYS00001910 -ERS2640916 B2gR3-3_Exp1 SAMEA4821026 Primer B2 Experiment 1 SRT 5 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729943'] MGYS00001910 -ERS2640917 B2gR3-3_Exp2 SAMEA4821027 Primer B2 Experiment 2 SRT 5 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729944'] MGYS00001910 -ERS2640918 B2gR4-1_Exp1 SAMEA4821028 Primer B2 Experiment 1 SRT 7 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729945'] MGYS00001910 -ERS2640919 B2gR4-1_Exp2 SAMEA4821029 Primer B2 Experiment 2 SRT 7 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729946'] MGYS00001910 -ERS2640920 B2gR4-2_Exp1 SAMEA4821030 Primer B2 Experiment 1 SRT 7 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729947'] MGYS00001910 -ERS2640921 B2gR4-2_Exp2 SAMEA4821031 Primer B2 Experiment 2 SRT 7 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729948'] MGYS00001910 -ERS2640922 B2gR4-3_Exp1 SAMEA4821032 Primer B2 Experiment 1 SRT 7 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729949'] MGYS00001910 -ERS2640923 B2gR4-3_Exp2 SAMEA4821033 Primer B2 Experiment 2 SRT 7 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729950'] MGYS00001910 -ERS2640924 B2gR5-1_Exp1 SAMEA4821034 Primer B2 Experiment 1 SRT 10 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729951'] MGYS00001910 -ERS2640925 B2gR5-1_Exp2 SAMEA4821035 Primer B2 Experiment 2 SRT 10 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729952'] MGYS00001910 -ERS2640926 B2gR5-2_Exp1 SAMEA4821036 Primer B2 Experiment 1 SRT 10 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729953'] MGYS00001910 -ERS2640927 B2gR5-2_Exp2 SAMEA4821037 Primer B2 Experiment 2 SRT 10 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729954'] MGYS00001910 -ERS2640928 B2gR5-3_Exp1 SAMEA4821038 Primer B2 Experiment 1 SRT 10 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729955'] MGYS00001910 -ERS2640929 B2gR5-3_Exp2 SAMEA4821039 Primer B2 Experiment 2 SRT 10 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729956'] MGYS00001910 -ERS2640930 B2gR6-1_Exp1 SAMEA4821040 Primer B2 Experiment 1 SRT 15 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729957'] MGYS00001910 -ERS2640931 B2gR6-1_Exp2 SAMEA4821041 Primer B2 Experiment 2 SRT 15 day gDNA replicate 1 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729958'] MGYS00001910 -ERS2640932 B2gR6-2_Exp1 SAMEA4821042 Primer B2 Experiment 1 SRT 15 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729959'] MGYS00001910 -ERS2640933 B2gR6-2_Exp2 SAMEA4821043 Primer B2 Experiment 2 SRT 15 day gDNA replicate 2 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729960'] MGYS00001910 -ERS2640934 B2gR6-3_Exp1 SAMEA4821044 Primer B2 Experiment 1 SRT 15 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729961'] MGYS00001910 -ERS2640935 B2gR6-3_Exp2 SAMEA4821045 Primer B2 Experiment 2 SRT 15 day gDNA replicate 3 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729962'] MGYS00001910 -ERS2640936 B2-NEG_Exp2 SAMEA4821046 Primer B2 Experiment 2 Negative Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729963'] MGYS00001910 -ERS2640937 B2pos-1_Exp1 SAMEA4821047 Primer B2 Experiment 1 Positive Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729964'] MGYS00001910 -ERS2640938 B2pos-2_Exp1 SAMEA4821048 Primer B2 Experiment 1 Positive Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729965'] MGYS00001910 -ERS2640939 B2pos-3_Exp1 SAMEA4821049 Primer B2 Experiment 1 Positive Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729966'] MGYS00001910 -ERS2640940 cNegA_Exp2 SAMEA4821050 Primer B2 Experiment 2 Negative Control cDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729967'] MGYS00001910 -ERS2640941 cNegB_Exp2 SAMEA4821051 Primer B2 Experiment 2 Negative Control cDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729968'] MGYS00001910 -ERS2640942 gM1_Exp2 SAMEA4821052 Primer B2 Experiment 2 Positive Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729969'] MGYS00001910 -ERS2640943 gM2_Exp2 SAMEA4821053 Primer B2 Experiment 2 Positive Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729970'] MGYS00001910 -ERS2640944 gNegA_Exp2 SAMEA4821054 Primer B2 Experiment 2 Negative Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729971'] MGYS00001910 -ERS2640945 gNegB_Exp2 SAMEA4821055 Primer B2 Experiment 2 Negative Control gDNA 47.4055 8.5976 Switzerland wastewater treatment plant sewage sludge ['ERR2729972'] MGYS00001910 -ERS1864879 Exp1_R1_SRT1 SAMEA104205861 A sequencing batch reactor operating with sludge originating from the Niderglatt WWTP was operated with a sludge retention time of 1 day. Samples were withdrawn after exposing the reactor to a set of micropollutants. 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088984'] MGYS00001910 -ERS1864880 Exp1_R2_SRT3 SAMEA104205862 A sequencing batch reactor operating with sludge originating from the Niderglatt WWTP was operated with a sludge retention time of 3 days. Samples were withdrawn after exposing the reactor to a set of micropollutants. 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088985'] MGYS00001910 -ERS1864881 Exp1_R3_SRT5 SAMEA104205863 Sequencing batch reactor sludge retention time 5 days 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088986'] MGYS00001910 -ERS1864882 Exp1_R4_SRT7 SAMEA104205864 A sequencing batch reactor operating with sludge originating from the Niderglatt WWTP was operated with a sludge retention time of 7 days. Samples were withdrawn after exposing the reactor to a set of micropollutants. 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088987'] MGYS00001910 -ERS1864883 Exp1_R5_SRT10 SAMEA104205865 A sequencing batch reactor operating with sludge originating from the Niderglatt WWTP was operated with a sludge retention time of 10 days. Samples were withdrawn after exposing the reactor to a set of micropollutants. 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088988'] MGYS00001910 -ERS1864884 Exp1_R6_SRT15 SAMEA104205866 A sequencing batch reactor operating with sludge originating from the Niderglatt WWTP was operated with a sludge retention time of 15 days. Samples were withdrawn after exposing the reactor to a set of micropollutants. 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088989'] MGYS00001910 -ERS1864885 Exp2_R1_SRT1 SAMEA104205867 A sequencing batch reactor operating with sludge originating from the Niderglatt WWTP was operated with a sludge retention time of 1 day. Samples were withdrawn after exposing the reactor to a set of micropollutants. 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088990'] MGYS00001910 -ERS1864886 Exp2_R2_SRT3 SAMEA104205868 A sequencing batch reactor operating with sludge originating from the Niderglatt WWTP was operated with a sludge retention time of 3 days. Samples were withdrawn after exposing the reactor to a set of micropollutants. 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088991'] MGYS00001910 -ERS1864887 Exp2_R3_SRT5 SAMEA104205869 A sequencing batch reactor operating with sludge originating from the Niderglatt WWTP was operated with a sludge retention time of 5 days. Samples were withdrawn after exposing the reactor to a set of micropollutants. 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088992'] MGYS00001910 -ERS1864888 Exp2_R4_SRT7 SAMEA104205870 A sequencing batch reactor operating with sludge originating from the Niderglatt WWTP was operated with a sludge retention time of 7 days. Samples were withdrawn after exposing the reactor to a set of micropollutants. 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088993'] MGYS00001910 -ERS1864889 Exp2_R5_SRT10 SAMEA104205871 A sequencing batch reactor operating with sludge originating from the Niderglatt WWTP was operated with a sludge retention time of 10 days. Samples were withdrawn after exposing the reactor to a set of micropollutants. 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088994'] MGYS00001910 -ERS1864890 Exp2_R6_SRT15 SAMEA104205872 A sequencing batch reactor operating with sludge originating from the Niderglatt WWTP was operated with a sludge retention time of 15 days. Samples were withdrawn after exposing the reactor to a set of micropollutants. 47.5005 8.4953 Switzerland wastewater treatment plant sewage sludge ['ERR2088995'] MGYS00001910 - MGYS00001910 -ERS2488841 CROATIA1 SAMEA4668225 Croatian wastewater treatment sludge 45.7897 16.0823 Croatia Sludge Wastewater treatment plant sludge ['ERR2586215'] MGYS00002383 -ERS2488842 CROATIA2 SAMEA4668226 Croatian wastewater treatment sludge 45.7897 16.0823 Croatia Sludge Wastewater treatment plant sludge ['ERR2586216'] MGYS00002383 -ERS2488843 CROATIA3 SAMEA4668227 Croatian wastewater treatment sludge 45.7897 16.0823 Croatia Sludge Wastewater treatment plant sludge ['ERR2586217'] MGYS00002383 -ERS2488844 CROATIA4 SAMEA4668228 Croatian wastewater treatment sludge 45.7897 16.0823 Croatia Sludge Wastewater treatment plant sludge ['ERR2586218'] MGYS00002383 -ERS2488845 CROATIA5 SAMEA4668229 Croatian wastewater treatment sludge 45.7897 16.0823 Croatia Sludge Wastewater treatment plant sludge ['ERR2586219'] MGYS00002383 -ERS2488846 CROATIA6 SAMEA4668230 Croatian wastewater treatment sludge 45.7897 16.0823 Croatia Sludge Wastewater treatment plant sludge ['ERR2586220'] MGYS00002383 -SRS1791804 Gp0138812 SAMN05720167 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from USA - AD_UKC075_MetaG 37.8 -122.27 USA ['ERZ778036'] MGYS00004765 -SRS1687462 Gp0138811 SAMN05720219 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from USA - AD_UKC073_MetaG 37.8 -122.27 USA ['ERZ795029'] MGYS00004910 -SRS1791740 Gp0138830 SAMN05720227 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from USA - AD_UKC052_MetaG 42.12 -87.65 USA ['ERZ795056'] MGYS00004929 -SRS1791744 Gp0138819 SAMN05720168 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from USA - AD_UKC045_MetaG 40.12 -87.63 USA ['ERZ795059'] MGYS00004932 -SRS1792068 Gp0141809 SAMN05720189 "Anaerobic biogas reactor microbial communites from Washington, USA - Biogas_R1 time_0 SIP DNA" 47.6525 -122.3049 "USA:Washington, USA" ['ERZ795066'] MGYS00004939 -ERS1048982 AOBNOB1 SAMEA3861848 AOBNOB1 Australia Wastewater Activated Sludge Reactor ['ERR1233629'] MGYS00000606 -ERS1545891 MP_reactors SAMEA80832418 MP_reactors 50.9 4.7 Belgium anaerobic reactor mesophilic anaerobic reactor wastewater ['ERR1823510'] MGYS00001453 -ERS1545892 MP_reactors SAMEA80833168 MP_reactors 50.9 4.7 Belgium anaerobic reactor mesophilic anaerobic reactor wastewater ['ERR1823511'] MGYS00001453 -ERS1545893 MP_reactors SAMEA80833918 MP_reactors 50.9 4.7 Belgium anaerobic reactor mesophilic anaerobic reactor wastewater ['ERR1823512'] MGYS00001453 -ERS1833119 b2forensics1 SAMEA104174101 wastewater sample collected on november 1st 2016 48.698 2.1795 France ['ERR2041951'] MGYS00001903 -ERS2597319 DTU2017_MG_100_EC_GA SAMEA4777371 DTU2017_MG_100_EC_GA -0.908 -89.6029 Ecuador ['ERR2683114'] MGYS00003139 -ERS2597320 DTU2017_MG_101_MW_KA SAMEA4777372 DTU2017_MG_101_MW_KA -13.051 33.8039 Malawi ['ERR2683115'] MGYS00003139 -ERS2597323 DTU2017_MG_104_MW_BL SAMEA4777375 DTU2017_MG_104_MW_BL -15.4703 35.02 Malawi ['ERR2683118'] MGYS00003139 -ERS2597326 DTU2017_MG_107_NG_IL_a SAMEA4777378 DTU2017_MG_107_NG_IL_a 8.4804 4.6739 Nigeria ['ERR2683121'] MGYS00003139 -ERS2597329 DTU2017_MG_110_NG_IL_d SAMEA4777381 DTU2017_MG_110_NG_IL_d 8.4808 4.672 Nigeria ['ERR2683124'] MGYS00003139 -ERS2597333 DTU2017_MG_114_NG_IB_a SAMEA4777385 DTU2017_MG_114_NG_IB_a 7.4419 3.8966 Nigeria ['ERR2683128'] MGYS00003139 -ERS2597334 DTU2017_MG_115_NG_IB_b SAMEA4777386 DTU2017_MG_115_NG_IB_b 7.4419 3.8966 Nigeria ['ERR2683129'] MGYS00003139 -ERS2597338 DTU2017_MG_119_NI_MS SAMEA4777390 DTU2017_MG_119_NI_MS 11.9842 -86.1056 Nicaragua ['ERR2683133'] MGYS00003139 -ERS2597341 DTU2017_MG_121_EE_TA SAMEA4777393 DTU2017_MG_121_EE_TA 58.34 26.7372 Estonia ['ERR2683136'] MGYS00003139 -ERS2597342 DTU2017_MG_122_EE_TL SAMEA4777394 DTU2017_MG_122_EE_TL 59.466 24.7022 Estonia ['ERR2683137'] MGYS00003139 -ERS2597343 DTU2017_MG_123_EE_PR SAMEA4777395 DTU2017_MG_123_EE_PR 58.3871 24.4537 Estonia ['ERR2683138'] MGYS00003139 -ERS2597345 DTU2017_MG_125_TH_PA SAMEA4777397 DTU2017_MG_125_TH_PA 14.0697 100.6106 Thailand ['ERR2683140'] MGYS00003139 -ERS2597346 DTU2017_MG_126_GE_KU SAMEA4777398 DTU2017_MG_126_GE_KU 42.2393 42.6758 Georgia ['ERR2683141'] MGYS00003139 -ERS2597348 DTU2017_MG_128_ZA_PR SAMEA4777400 DTU2017_MG_128_ZA_PR -25.7344 28.1779 South Africa ['ERR2683143'] MGYS00003139 -ERS2597349 DTU2017_MG_129_LU_LU SAMEA4777401 DTU2017_MG_129_LU_LU 49.651 6.13 Luxembourg ['ERR2683144'] MGYS00003139 -ERS2597350 DTU2017_MG_12_MY_KG SAMEA4777402 DTU2017_MG_12_MY_KG 3.0047 101.4342 Malaysia ['ERR2683145'] MGYS00003139 -ERS2597351 DTU2017_MG_130_IT_RO SAMEA4777403 DTU2017_MG_130_IT_RO 41.8193 12.4281 Italy ['ERR2683146'] MGYS00003139 -ERS2597352 DTU2017_MG_131_KR_GW SAMEA4777404 DTU2017_MG_131_KR_GW 35.1559 126.8355 South Korea ['ERR2683147'] MGYS00003139 -ERS2597365 DTU2017_MG_143_UG_KA SAMEA4777417 DTU2017_MG_143_UG_KA 0.3193 32.6061 Uganda ['ERR2683160'] MGYS00003139 -ERS2597375 DTU2017_MG_152_NP_KA SAMEA4777427 DTU2017_MG_152_NP_KA 27.7008 85.3001 Nepal ['ERR2683170'] MGYS00003139 -ERS2597377 DTU2017_MG_154_GT_GU SAMEA4777429 DTU2017_MG_154_GT_GU 14.5786 -90.5594 Guatemala ['ERR2683172'] MGYS00003139 -ERS2597378 DTU2017_MG_155_LT_VI SAMEA4777430 DTU2017_MG_155_LT_VI 54.7097 25.2212 Lithuania ['ERR2683173'] MGYS00003139 -ERS2597379 DTU2017_MG_156_KE_NA SAMEA4777431 DTU2017_MG_156_KE_NA -1.2561 37.0118 Kenya ['ERR2683174'] MGYS00003139 -ERS2597382 DTU2017_MG_159_MK_SK SAMEA4777434 DTU2017_MG_159_MK_SK 41.9906 21.4758 Macedonia ['ERR2683177'] MGYS00003139 -ERS2597384 DTU2017_MG_160_GH_TA SAMEA4777436 DTU2017_MG_160_GH_TA 9.4034 -0.8424 Ghana ['ERR2683179'] MGYS00003139 -ERS2597391 DTU2017_MG_167_LK_MA SAMEA4777443 DTU2017_MG_167_LK_MA 6.9312 79.874 Sri Lanka ['ERR2683186'] MGYS00003139 -ERS2597393 DTU2017_MG_16_BR_BE SAMEA4777445 DTU2017_MG_16_BR_BE -1.4283 -48.4921 Brazil ['ERR2683188'] MGYS00003139 -ERS2597394 DTU2017_MG_17_US_PO SAMEA4777446 DTU2017_MG_17_US_PO 45.5951 -122.7176 USA ['ERR2683189'] MGYS00003139 -ERS2597396 DTU2017_MG_19_MY_AS SAMEA4777448 DTU2017_MG_19_MY_AS 5.6044 100.5436 Malaysia ['ERR2683191'] MGYS00003139 -ERS2597397 DTU2017_MG_1_TH_BK SAMEA4777449 DTU2017_MG_1_TH_BK 13.7579 100.4859 Thailand ['ERR2683192'] MGYS00003139 -ERS2597398 DTU2017_MG_20_MY_PG SAMEA4777450 DTU2017_MG_20_MY_PG 5.4356 100.3091 Malaysia ['ERR2683193'] MGYS00003139 -ERS2597399 DTU2017_MG_21_MY_IP SAMEA4777451 DTU2017_MG_21_MY_IP 4.5975 101.0901 Malaysia ['ERR2683194'] MGYS00003139 -ERS2597400 DTU2017_MG_22_MY_PB SAMEA4777452 DTU2017_MG_22_MY_PB 5.438 100.3882 Malaysia ['ERR2683195'] MGYS00003139 -ERS2597401 DTU2017_MG_23_JP_JP SAMEA4777453 DTU2017_MG_23_JP_JP 36.2048 138.2529 Japan ['ERR2683196'] MGYS00003139 -ERS2597404 DTU2017_MG_26_NL_UT SAMEA4777456 DTU2017_MG_26_NL_UT 52.1084 5.1112 Netherlands ['ERR2683199'] MGYS00003139 -ERS2597405 DTU2017_MG_27_UY_MV SAMEA4777457 DTU2017_MG_27_UY_MV -34.9301 -56.1609 Uruguay ['ERR2683200'] MGYS00003139 -ERS2597408 DTU2017_MG_2_PT_LI SAMEA4777460 DTU2017_MG_2_PT_LI 38.7221 -9.1746 Portugal ['ERR2683203'] MGYS00003139 -ERS2597409 DTU2017_MG_30_LB_SF SAMEA4777461 DTU2017_MG_30_LB_SF 34.015 35.6398 Lebanon ['ERR2683204'] MGYS00003139 -ERS2597410 DTU2017_MG_31_LB_RI SAMEA4777462 DTU2017_MG_31_LB_RI 33.8559 35.9948 Lebanon ['ERR2683205'] MGYS00003139 -ERS2597413 DTU2017_MG_34_LB_SD SAMEA4777465 DTU2017_MG_34_LB_SD 33.5062 35.3038 Lebanon ['ERR2683208'] MGYS00003139 -ERS2597416 DTU2017_MG_37_GH_AC SAMEA4777468 DTU2017_MG_37_GH_AC 5.6037 -0.187 Ghana ['ERR2683211'] MGYS00003139 -ERS2597418 DTU2017_MG_39_NZ_CH SAMEA4777470 DTU2017_MG_39_NZ_CH -43.5256 172.6997 New Zealand ['ERR2683213'] MGYS00003139 -ERS2597419 DTU2017_MG_3_ES_BA SAMEA4777471 DTU2017_MG_3_ES_BA 41.4096 2.2228 Spain ['ERR2683214'] MGYS00003139 -ERS2597420 DTU2017_MG_40_PH_QU SAMEA4777472 DTU2017_MG_40_PH_QU 14.6027 120.9671 Philippines ['ERR2683215'] MGYS00003139 -ERS2597423 DTU2017_MG_43_CH_BR SAMEA4777475 DTU2017_MG_43_CH_BR 46.9722 7.4285 Switzerland ['ERR2683218'] MGYS00003139 -ERS2597424 DTU2017_MG_44_SI_LJ SAMEA4777476 DTU2017_MG_44_SI_LJ 46.074 14.6119 Slovenia ['ERR2683219'] MGYS00003139 -ERS2597425 DTU2017_MG_45_SE_UP SAMEA4777477 DTU2017_MG_45_SE_UP 59.8436 17.6575 Sweden ['ERR2683220'] MGYS00003139 -ERS2597426 DTU2017_MG_46_IT_VE SAMEA4777478 DTU2017_MG_46_IT_VE 45.9352 8.5596 Italy ['ERR2683221'] MGYS00003139 -ERS2597427 DTU2017_MG_47_IT_CA SAMEA4777479 DTU2017_MG_47_IT_CA 45.0659 8.6918 Italy ['ERR2683222'] MGYS00003139 -ERS2597428 DTU2017_MG_48_IT_NO SAMEA4777480 DTU2017_MG_48_IT_NO 45.4218 8.5968 Italy ['ERR2683223'] MGYS00003139 -ERS2597430 DTU2017_MG_4_GR_AT SAMEA4777482 DTU2017_MG_4_GR_AT 37.9417 23.5893 Greece ['ERR2683225'] MGYS00003139 -ERS2597432 DTU2017_MG_51_SN_DA SAMEA4777484 DTU2017_MG_51_SN_DA 14.7462 -17.4266 Senegal ['ERR2683227'] MGYS00003139 -ERS2597433 DTU2017_MG_52_ME_PO SAMEA4777485 DTU2017_MG_52_ME_PO 42.4342 19.2355 Montenegro ['ERR2683228'] MGYS00003139 -ERS2597436 DTU2017_MG_55_FI_TU SAMEA4777488 DTU2017_MG_55_FI_TU 60.4438 22.2379 Finland ['ERR2683231'] MGYS00003139 -ERS2597437 DTU2017_MG_56_FI_OU SAMEA4777489 DTU2017_MG_56_FI_OU 65.0544 25.4122 Finland ['ERR2683232'] MGYS00003139 -ERS2597438 DTU2017_MG_57_FI_HE SAMEA4777490 DTU2017_MG_57_FI_HE 60.2261 24.9916 Finland ['ERR2683233'] MGYS00003139 -ERS2597443 DTU2017_MG_61_TZ_MO SAMEA4777495 DTU2017_MG_61_TZ_MO -6.7866 37.6735 Tanzania ['ERR2683238'] MGYS00003139 -ERS2597446 DTU2017_MG_64_BB_BR SAMEA4777498 DTU2017_MG_64_BB_BR 13.1008 -59.6212 Barbados ['ERR2683241'] MGYS00003139 -ERS2597449 DTU2017_MG_67_US_AU SAMEA4777501 DTU2017_MG_67_US_AU 30.209 -97.6045 USA ['ERR2683244'] MGYS00003139 -ERS2597450 DTU2017_MG_68_US_HO_a SAMEA4777502 DTU2017_MG_68_US_HO_a 29.7058 -95.5649 USA ['ERR2683245'] MGYS00003139 -ERS2597451 DTU2017_MG_69_BD_DH SAMEA4777503 DTU2017_MG_69_BD_DH 23.6834 90.4514 Bangladesh ['ERR2683246'] MGYS00003139 -ERS2597454 DTU2017_MG_71_SK_BR SAMEA4777506 DTU2017_MG_71_SK_BR 48.2591 17.3591 Slovakia ['ERR2683249'] MGYS00003139 -ERS2597456 DTU2017_MG_73_LV_RI SAMEA4777508 DTU2017_MG_73_LV_RI 56.5067 25.9096 Latvia ['ERR2683251'] MGYS00003139 -ERS2597457 DTU2017_MG_74_LV_LI SAMEA4777509 DTU2017_MG_74_LV_LI 56.5167 21.0167 Latvia ['ERR2683252'] MGYS00003139 -ERS2597459 DTU2017_MG_76_MU_PL SAMEA4777511 DTU2017_MG_76_MU_PL -20.7321 57.4338 Mauritius ['ERR2683254'] MGYS00003139 -ERS2597460 DTU2017_MG_77_IL_BE SAMEA4777512 DTU2017_MG_77_IL_BE 31.253 34.7914 Israel ['ERR2683255'] MGYS00003139 -ERS2597462 DTU2017_MG_79_AU_MA SAMEA4777514 DTU2017_MG_79_AU_MA 134.2294 Australia ['ERR2683257'] MGYS00003139 -ERS2597464 DTU2017_MG_80_AU_DD SAMEA4777516 DTU2017_MG_80_AU_DD -12.3646 130.909 Australia ['ERR2683259'] MGYS00003139 -ERS2597466 DTU2017_MG_82_MT_MN SAMEA4777518 DTU2017_MG_82_MT_MN 35.9675 14.3378 Malta ['ERR2683261'] MGYS00003139 -ERS2597469 DTU2017_MG_85_SA_KA SAMEA4777521 DTU2017_MG_85_SA_KA 22.2987 39.1186 Saudi Arabia ['ERR2683264'] MGYS00003139 -ERS2597470 DTU2017_MG_86_LC_CA SAMEA4777522 DTU2017_MG_86_LC_CA 14.0158 -60.9916 Saint Lucia ['ERR2683265'] MGYS00003139 -ERS2597473 DTU2017_MG_89_TG_LO SAMEA4777525 DTU2017_MG_89_TG_LO 6.126 1.2184 Togo ['ERR2683268'] MGYS00003139 -ERS2597478 DTU2017_MG_93_TW_TA SAMEA4777530 DTU2017_MG_93_TW_TA 25.0664 121.5744 Taiwan ['ERR2683273'] MGYS00003139 -ERS2597481 DTU2017_MG_96_EC_QU SAMEA4777533 DTU2017_MG_96_EC_QU -0.1853 -78.4172 Ecuador ['ERR2683276'] MGYS00003139 -ERS2597482 DTU2017_MG_97_PE_PI SAMEA4777534 DTU2017_MG_97_PE_PI -5.1576 -80.6858 Peru ['ERR2683277'] MGYS00003139 -ERS2597488 DTU2017_MG_169_NC_A SAMEA4777540 extraction_control 66.9425 -53.6531 Denmark ['ERR2683525'] MGYS00003139 -ERS2597490 DTU2017_MG_171_NC_C SAMEA4777542 extraction_control 66.9425 -53.6531 Denmark ['ERR2683527'] MGYS00003139 -ERS2597491 DTU2017_MG_172_NC_D SAMEA4777543 extraction_control 66.9425 -53.6531 Denmark ['ERR2683528'] MGYS00003139 -ERS2597492 DTU2017_MG_173_NC_E SAMEA4777544 extraction_control 66.9425 -53.6531 Denmark ['ERR2683529'] MGYS00003139 -ERS2597497 DTU2017_MG_178_NC_J SAMEA4777549 extraction_control 66.9425 -53.6531 Denmark ['ERR2683534'] MGYS00003139 -ERS2597498 DTU2017_MG_179_NC_K SAMEA4777550 extraction_control 66.9425 -53.6531 Denmark ['ERR2683535'] MGYS00003139 -ERS2597321 DTU2017_MG_102_MW_MZ SAMEA4777373 DTU2017_MG_102_MW_MZ -11.7634 34.0252 Malawi ['ERR2683116'] MGYS00003139 -ERS2597322 DTU2017_MG_103_MW_ZO SAMEA4777374 DTU2017_MG_103_MW_ZO -15.4528 35.5025 Malawi ['ERR2683117'] MGYS00003139 -ERS2597324 DTU2017_MG_105_IS_RE SAMEA4777376 DTU2017_MG_105_IS_RE 64.1558 -21.8723 Iceland ['ERR2683119'] MGYS00003139 -ERS2597325 DTU2017_MG_106_PL_PL SAMEA4777377 DTU2017_MG_106_PL_PL 51.448 21.9518 Poland ['ERR2683120'] MGYS00003139 -ERS2597327 DTU2017_MG_108_NG_IL_b SAMEA4777379 DTU2017_MG_108_NG_IL_b 8.4807 4.672 Nigeria ['ERR2683122'] MGYS00003139 -ERS2597328 DTU2017_MG_10_CI_YA SAMEA4777380 DTU2017_MG_10_CI_YA 6.8075 -5.2751 Cote d'Ivoire ['ERR2683123'] MGYS00003139 -ERS2597330 DTU2017_MG_111_NG_ZA_a SAMEA4777382 DTU2017_MG_111_NG_ZA_a 11.1358 7.6637 Nigeria ['ERR2683125'] MGYS00003139 -ERS2597331 DTU2017_MG_112_NG_ZA_b SAMEA4777383 DTU2017_MG_112_NG_ZA_b 11.1459 7.6586 Nigeria ['ERR2683126'] MGYS00003139 -ERS2597332 DTU2017_MG_113_NG_ZA_c SAMEA4777384 DTU2017_MG_113_NG_ZA_c 11.1459 7.6587 Nigeria ['ERR2683127'] MGYS00003139 -ERS2597335 DTU2017_MG_116_NI_MN SAMEA4777387 DTU2017_MG_116_NI_MN 12.1639 -86.2236 Nicaragua ['ERR2683130'] MGYS00003139 -ERS2597336 DTU2017_MG_117_NI_MT SAMEA4777388 DTU2017_MG_117_NI_MT 12.9147 -85.94 Nicaragua ['ERR2683131'] MGYS00003139 -ERS2597337 DTU2017_MG_118_NI_GR SAMEA4777389 DTU2017_MG_118_NI_GR 11.9136 -85.9328 Nicaragua ['ERR2683132'] MGYS00003139 -ERS2597339 DTU2017_MG_11_MY_KL SAMEA4777391 DTU2017_MG_11_MY_KL 3.1831 101.7111 Malaysia ['ERR2683134'] MGYS00003139 -ERS2597340 DTU2017_MG_120_TZ_MS SAMEA4777392 DTU2017_MG_120_TZ_MS -3.3745 37.427 Tanzania ['ERR2683135'] MGYS00003139 -ERS2597344 DTU2017_MG_124_EE_NA SAMEA4777396 DTU2017_MG_124_EE_NA 59.3598 28.1829 Estonia ['ERR2683139'] MGYS00003139 -ERS2597347 DTU2017_MG_127_HR_ZA SAMEA4777399 DTU2017_MG_127_HR_ZA 45.7877 16.0791 Croatia ['ERR2683142'] MGYS00003139 -ERS2597353 DTU2017_MG_132_GR_TH SAMEA4777405 DTU2017_MG_132_GR_TH 40.6637 22.8333 Greece ['ERR2683148'] MGYS00003139 -ERS2597354 DTU2017_MG_133_AU_ME SAMEA4777406 DTU2017_MG_133_AU_ME -37.9145 144.6432 Australia ['ERR2683149'] MGYS00003139 -ERS2597355 DTU2017_MG_134_PT_PO SAMEA4777407 DTU2017_MG_134_PT_PO 41.1579 -8.6291 Portugal ['ERR2683150'] MGYS00003139 -ERS2597356 DTU2017_MG_135_GB_ED SAMEA4777408 DTU2017_MG_135_GB_ED 55.9701 -3.1449 United Kingdom ['ERR2683151'] MGYS00003139 -ERS2597357 DTU2017_MG_136_CA_RE SAMEA4777409 DTU2017_MG_136_CA_RE 50.4411 -104.7558 Canada ['ERR2683152'] MGYS00003139 -ERS2597358 DTU2017_MG_137_CA_VA SAMEA4777410 DTU2017_MG_137_CA_VA 49.1654 -122.9506 Canada ['ERR2683153'] MGYS00003139 -ERS2597359 DTU2017_MG_138_CA_CA SAMEA4777411 DTU2017_MG_138_CA_CA 51.0131 -114.0246 Canada ['ERR2683154'] MGYS00003139 -ERS2597360 DTU2017_MG_139_CA_OT SAMEA4777412 DTU2017_MG_139_CA_OT 45.4599 -75.5853 Canada ['ERR2683155'] MGYS00003139 -ERS2597361 DTU2017_MG_13_CM_YA SAMEA4777413 DTU2017_MG_13_CM_YA 3.8706 11.4845 Cameroon ['ERR2683156'] MGYS00003139 -ERS2597362 DTU2017_MG_140_BG_SO SAMEA4777414 DTU2017_MG_140_BG_SO 42.7509 23.3665 Bulgaria ['ERR2683157'] MGYS00003139 -ERS2597363 DTU2017_MG_141_GB_NC SAMEA4777415 DTU2017_MG_141_GB_NC 54.9901 -1.4796 United Kingdom ['ERR2683158'] MGYS00003139 -ERS2597364 DTU2017_MG_142_CA_TO SAMEA4777416 DTU2017_MG_142_CA_TO 43.6313 -79.4806 Canada ['ERR2683159'] MGYS00003139 -ERS2597366 DTU2017_MG_144_IN_MP SAMEA4777418 DTU2017_MG_144_IN_MP 13.3576 74.7427 India ['ERR2683161'] MGYS00003139 -ERS2597367 DTU2017_MG_145_NO_OS SAMEA4777419 DTU2017_MG_145_NO_OS 59.7934 10.4994 Norway ['ERR2683162'] MGYS00003139 -ERS2597368 DTU2017_MG_146_PK_KA SAMEA4777420 DTU2017_MG_146_PK_KA 24.8537 67.0751 Pakistan ['ERR2683163'] MGYS00003139 -ERS2597369 DTU2017_MG_147_PK_HY SAMEA4777421 DTU2017_MG_147_PK_HY 25.3746 68.3633 Pakistan ['ERR2683164'] MGYS00003139 -ERS2597370 DTU2017_MG_148_BF_OU SAMEA4777422 DTU2017_MG_148_BF_OU 12.4272 -1.4807 Burkina Faso ['ERR2683165'] MGYS00003139 -ERS2597371 DTU2017_MG_149_BF_BO SAMEA4777423 DTU2017_MG_149_BF_BO 11.2055 -4.2758 Burkina Faso ['ERR2683166'] MGYS00003139 -ERS2597372 DTU2017_MG_14_HK_HK SAMEA4777424 DTU2017_MG_14_HK_HK 22.4039 114.2125 Hong Kong ['ERR2683167'] MGYS00003139 -ERS2597373 DTU2017_MG_150_SG_JU SAMEA4777425 DTU2017_MG_150_SG_JU 1.3521 103.8198 Singapore ['ERR2683168'] MGYS00003139 -ERS2597374 DTU2017_MG_151_PY_CO SAMEA4777426 DTU2017_MG_151_PY_CO -25.276 -57.6334 Paraguay ['ERR2683169'] MGYS00003139 -ERS2597376 DTU2017_MG_153_KH_PP SAMEA4777428 DTU2017_MG_153_KH_PP 11.5226 104.9026 Cambodia ['ERR2683171'] MGYS00003139 -ERS2597380 DTU2017_MG_157_KZ_AL SAMEA4777432 DTU2017_MG_157_KZ_AL 43.4039 76.8889 Kazakhstan ['ERR2683175'] MGYS00003139 -ERS2597381 DTU2017_MG_158_US_CH SAMEA4777433 DTU2017_MG_158_US_CH USA ['ERR2683176'] MGYS00003139 -ERS2597383 DTU2017_MG_15_VN_HO SAMEA4777435 DTU2017_MG_15_VN_HO 20.9756 105.8658 Viet Nam ['ERR2683178'] MGYS00003139 -ERS2597385 DTU2017_MG_161_IR_TH SAMEA4777437 DTU2017_MG_161_IR_TH 35.5686 51.439 Iran ['ERR2683180'] MGYS00003139 -ERS2597386 DTU2017_MG_162_MA_CA SAMEA4777438 DTU2017_MG_162_MA_CA 33.6343 -7.5088 Morocco ['ERR2683181'] MGYS00003139 -ERS2597387 DTU2017_MG_163_LK_RA SAMEA4777439 DTU2017_MG_163_LK_RA 7.1421 79.8971 Sri Lanka ['ERR2683182'] MGYS00003139 -ERS2597388 DTU2017_MG_164_LK_MO SAMEA4777440 DTU2017_MG_164_LK_MO 6.8059 79.8852 Sri Lanka ['ERR2683183'] MGYS00003139 -ERS2597389 DTU2017_MG_165_LK_BO SAMEA4777441 DTU2017_MG_165_LK_BO 6.9116 79.8799 Sri Lanka ['ERR2683184'] MGYS00003139 -ERS2597390 DTU2017_MG_166_LK_CO SAMEA4777442 DTU2017_MG_166_LK_CO 6.9132 79.8513 Sri Lanka ['ERR2683185'] MGYS00003139 -ERS2597392 DTU2017_MG_168_IR_SH SAMEA4777444 DTU2017_MG_168_IR_SH 29.5453 52.6354 Iran ['ERR2683187'] MGYS00003139 -ERS2597395 DTU2017_MG_18_GL_SI SAMEA4777447 DTU2017_MG_18_GL_SI 66.9425 -53.6531 Denmark ['ERR2683190'] MGYS00003139 -ERS2597402 DTU2017_MG_24_DK_AV SAMEA4777454 DTU2017_MG_24_DK_AV 55.6405 12.5058 Denmark ['ERR2683197'] MGYS00003139 -ERS2597403 DTU2017_MG_25_NL_AM SAMEA4777455 DTU2017_MG_25_NL_AM 52.3985 4.7942 Netherlands ['ERR2683198'] MGYS00003139 -ERS2597406 DTU2017_MG_28_LB_TR SAMEA4777458 DTU2017_MG_28_LB_TR 34.4443 35.8144 Lebanon ['ERR2683201'] MGYS00003139 -ERS2597407 DTU2017_MG_29_LB_JZ SAMEA4777459 DTU2017_MG_29_LB_JZ 33.5422 35.5831 Lebanon ['ERR2683202'] MGYS00003139 -ERS2597411 DTU2017_MG_32_LB_KO SAMEA4777463 DTU2017_MG_32_LB_KO 34.3646 35.7837 Lebanon ['ERR2683206'] MGYS00003139 -ERS2597412 DTU2017_MG_33_LB_SA SAMEA4777464 DTU2017_MG_33_LB_SA 33.5641 35.37 Lebanon ['ERR2683207'] MGYS00003139 -ERS2597414 DTU2017_MG_35_DE_DR SAMEA4777466 DTU2017_MG_35_DE_DR 51.071 13.6809 Germany ['ERR2683209'] MGYS00003139 -ERS2597415 DTU2017_MG_36_AL_TI SAMEA4777467 DTU2017_MG_36_AL_TI 41.3571 19.7709 Albania ['ERR2683210'] MGYS00003139 -ERS2597417 DTU2017_MG_38_GH_KU SAMEA4777469 DTU2017_MG_38_GH_KU 6.6653 -1.5761 Ghana ['ERR2683212'] MGYS00003139 -ERS2597421 DTU2017_MG_41_FR_NA SAMEA4777473 DTU2017_MG_41_FR_NA 47.1919 -1.5826 France ['ERR2683216'] MGYS00003139 -ERS2597422 DTU2017_MG_42_FR_AU SAMEA4777474 DTU2017_MG_42_FR_AU 47.5991 -2.9808 France ['ERR2683217'] MGYS00003139 -ERS2597429 DTU2017_MG_49_IE_GA SAMEA4777481 DTU2017_MG_49_IE_GA 53.2536 -9.0547 Ireland ['ERR2683224'] MGYS00003139 -ERS2597431 DTU2017_MG_50_AT_VI SAMEA4777483 DTU2017_MG_50_AT_VI 48.174 16.4632 Austria ['ERR2683226'] MGYS00003139 -ERS2597434 DTU2017_MG_53_ET_AD SAMEA4777486 DTU2017_MG_53_ET_AD 8.9191 38.7574 Ethiopia ['ERR2683229'] MGYS00003139 -ERS2597435 DTU2017_MG_54_RS_BE SAMEA4777487 DTU2017_MG_54_RS_BE 44.8302 20.4634 Serbia ['ERR2683230'] MGYS00003139 -ERS2597439 DTU2017_MG_58_CZ_PR SAMEA4777491 DTU2017_MG_58_CZ_PR 50.1128 14.3985 Czech Republic ['ERR2683234'] MGYS00003139 -ERS2597440 DTU2017_MG_59_CZ_BR SAMEA4777492 DTU2017_MG_59_CZ_BR 49.1313 16.6295 Czech Republic ['ERR2683235'] MGYS00003139 -ERS2597441 DTU2017_MG_5_GB_FA SAMEA4777493 DTU2017_MG_5_GB_FA 50.1505 -5.0479 United Kingdom ['ERR2683236'] MGYS00003139 -ERS2597442 DTU2017_MG_60_TZ_MW SAMEA4777494 DTU2017_MG_60_TZ_MW -2.4711 32.911 Tanzania ['ERR2683237'] MGYS00003139 -ERS2597444 DTU2017_MG_62_PY_SL SAMEA4777496 DTU2017_MG_62_PY_SL -25.3288 -57.4893 Paraguay ['ERR2683239'] MGYS00003139 -ERS2597445 DTU2017_MG_63_PY_AS SAMEA4777497 DTU2017_MG_63_PY_AS -25.2623 -57.5924 Paraguay ['ERR2683240'] MGYS00003139 -ERS2597447 DTU2017_MG_65_BB_WO SAMEA4777499 DTU2017_MG_65_BB_WO 13.1489 -59.6247 Barbados ['ERR2683242'] MGYS00003139 -ERS2597448 DTU2017_MG_66_US_WA SAMEA4777500 DTU2017_MG_66_US_WA 31.5171 -97.0659 USA ['ERR2683243'] MGYS00003139 -ERS2597452 DTU2017_MG_6_GB_CA SAMEA4777504 DTU2017_MG_6_GB_CA 50.2299 -5.3221 United Kingdom ['ERR2683247'] MGYS00003139 -ERS2597453 DTU2017_MG_70_US_HO_b SAMEA4777505 DTU2017_MG_70_US_HO_b 29.7003 -95.2665 USA ['ERR2683248'] MGYS00003139 -ERS2597455 DTU2017_MG_72_SE_GO SAMEA4777507 DTU2017_MG_72_SE_GO 57.6975 11.891 Sweden ['ERR2683250'] MGYS00003139 -ERS2597458 DTU2017_MG_75_DE_BE SAMEA4777510 DTU2017_MG_75_DE_BE 52.5313 13.223 Germany ['ERR2683253'] MGYS00003139 -ERS2597461 DTU2017_MG_78_BA_BL SAMEA4777513 DTU2017_MG_78_BA_BL 44.7703 17.2083 Bosnia and Herzegovina ['ERR2683256'] MGYS00003139 -ERS2597463 DTU2017_MG_7_TD_ND SAMEA4777515 DTU2017_MG_7_TD_ND 12.1348 15.0557 Chad ['ERR2683258'] MGYS00003139 -ERS2597465 DTU2017_MG_81_MT_MS SAMEA4777517 DTU2017_MG_81_MT_MS 35.8806 14.5544 Malta ['ERR2683260'] MGYS00003139 -ERS2597467 DTU2017_MG_83_MT_GO SAMEA4777519 DTU2017_MG_83_MT_GO 36.0197 14.2775 Malta ['ERR2683262'] MGYS00003139 -ERS2597468 DTU2017_MG_84_HU_BU SAMEA4777520 DTU2017_MG_84_HU_BU 47.5692 19.0746 Hungary ['ERR2683263'] MGYS00003139 -ERS2597471 DTU2017_MG_87_LC_GR SAMEA4777523 DTU2017_MG_87_LC_GR 14.0761 Saint Lucia ['ERR2683266'] MGYS00003139 -ERS2597472 DTU2017_MG_88_IN_CO SAMEA4777524 DTU2017_MG_88_IN_CO 9.7914 76.3051 India ['ERR2683267'] MGYS00003139 -ERS2597474 DTU2017_MG_8_CI_AB SAMEA4777526 DTU2017_MG_8_CI_AB 5.3414 -4.0164 Cote d'Ivoire ['ERR2683269'] MGYS00003139 -ERS2597475 DTU2017_MG_90_NG_LA SAMEA4777527 DTU2017_MG_90_NG_LA 6.6156 3.2628 Nigeria ['ERR2683270'] MGYS00003139 -ERS2597476 DTU2017_MG_91_CI_BO_b SAMEA4777528 DTU2017_MG_91_CI_BO_b 7.7202 -5.0499 Cote d'Ivoire ['ERR2683271'] MGYS00003139 -ERS2597477 DTU2017_MG_92_BW_GA SAMEA4777529 DTU2017_MG_92_BW_GA -24.6074 25.9635 Botswana ['ERR2683272'] MGYS00003139 -ERS2597479 DTU2017_MG_94_US_SE SAMEA4777531 DTU2017_MG_94_US_SE 47.6619 -122.4313 USA ['ERR2683274'] MGYS00003139 -ERS2597480 DTU2017_MG_95_US_WO SAMEA4777532 DTU2017_MG_95_US_WO 47.7897 -122.1405 USA ['ERR2683275'] MGYS00003139 -ERS2597483 DTU2017_MG_98_EC_GY SAMEA4777535 DTU2017_MG_98_EC_GY -2.1739 -79.9106 Ecuador ['ERR2683278'] MGYS00003139 -ERS2597484 DTU2017_MG_99_EC_CU SAMEA4777536 DTU2017_MG_99_EC_CU -2.8775 -78.9439 Ecuador ['ERR2683279'] MGYS00003139 -ERS2597485 DTU2017_MG_9_CI_BO_a SAMEA4777537 DTU2017_MG_9_CI_BO_a 7.6959 -5.0326 Cote d'Ivoire ['ERR2683280'] MGYS00003139 -ERS2597489 DTU2017_MG_170_NC_B SAMEA4777541 extraction_control 66.9425 -53.6531 Denmark ['ERR2683526'] MGYS00003139 -ERS2597493 DTU2017_MG_174_NC_F SAMEA4777545 extraction_control 66.9425 -53.6531 Denmark ['ERR2683530'] MGYS00003139 -ERS2597494 DTU2017_MG_175_NC_G SAMEA4777546 extraction_control 66.9425 -53.6531 Denmark ['ERR2683531'] MGYS00003139 -ERS2597495 DTU2017_MG_176_NC_H SAMEA4777547 extraction_control 66.9425 -53.6531 Denmark ['ERR2683532'] MGYS00003139 -ERS2597496 DTU2017_MG_177_NC_I SAMEA4777548 extraction_control 66.9425 -53.6531 Denmark ['ERR2683533'] MGYS00003139 -ERS2597499 DTU2017_MG_180_NC_L SAMEA4777551 extraction_control 66.9425 -53.6531 Denmark ['ERR2683536'] MGYS00003139 -ERS2597500 DTU2017_MG_181_NC_M SAMEA4777552 extraction_control 66.9425 -53.6531 Denmark ['ERR2683537'] MGYS00003139 -ERS2597501 DTU2017_MG_182_NC_N SAMEA4777553 extraction_control 66.9425 -53.6531 Denmark ['ERR2683538'] MGYS00003139 - MGYS00003139 -SRS2278348 EF_VA SAMN07190887 effluent of sewage treatment plant in Hong Hong 37.14 -80.41 "USA: Christiansburg, Virginia" "['ERZ724506', 'ERZ724508', 'ERZ724509', 'ERZ724511', 'ERZ724530', 'ERZ724535', 'ERZ724547', 'ERZ724548', 'ERZ724555']" MGYS00005035 -SRS2278349 IN_HK SAMN07190885 influent of sewage treatment plant in Hong Hong 22.4 114.21 Hong Kong "['ERZ724502', 'ERZ724503', 'ERZ724515', 'ERZ724518', 'ERZ724531', 'ERZ724534', 'ERZ724540', 'ERZ724553', 'ERZ724558']" MGYS00005035 -SRS2278350 AS_VA SAMN07190886 activated sludge of sewage treatment plant in Hong Hong 37.14 -80.41 "USA: Christiansburg, Virginia" "['ERZ724516', 'ERZ724517', 'ERZ724520', 'ERZ724527', 'ERZ724529', 'ERZ724533', 'ERZ724539', 'ERZ724546', 'ERZ724551', 'ERZ724556', 'ERZ724559']" MGYS00005035 -SRS2278351 IN_VA SAMN07190888 influent of sewage treatment plant in Hong Hong 37.14 -80.41 "USA: Christiansburg, Virginia" "['ERZ724504', 'ERZ724510', 'ERZ724523', 'ERZ724524', 'ERZ724525', 'ERZ724536', 'ERZ724537', 'ERZ724542', 'ERZ724554']" MGYS00005035 -SRS2278352 AS_HK SAMN07190883 activated sludge of sewage treatment plant in Hong Hong 22.4 114.21 Hong Kong "['ERZ724507', 'ERZ724512', 'ERZ724513', 'ERZ724514', 'ERZ724519', 'ERZ724521', 'ERZ724526', 'ERZ724541', 'ERZ724545', 'ERZ724550', 'ERZ724557']" MGYS00005035 -SRS2278353 EF_HK SAMN07190884 effluent of sewage treatment plant in Hong Hong 22.4 114.21 Hong Kong "['ERZ724505', 'ERZ724522', 'ERZ724528', 'ERZ724532', 'ERZ724538', 'ERZ724543', 'ERZ724544', 'ERZ724549', 'ERZ724552']" MGYS00005035 -ERS3348413 KHAJOD1 SAMEA5546360 "Wastewater (or waste water) is any water that has been affected by human use. Wastewater is "used water from any combination of domestic, industrial, commercial or agricultural activities, surface runoff or stormwater, and any sewer inflow or sewer infiltration"." 21.1161 72.788 India ['ERR3258496'] MGYS00004715 -DRS034400 DRS034400 SAMD00056903 DRS034400 35.6693 139.4257 "Japan:Tokyo, Hachioji" thermophilic anaerobic methanogenic reactor water ['DRR066655'] MGYS00001851 -DRS034401 DRS034401 SAMD00056904 DRS034401 35.6693 139.4257 "Japan:Tokyo, Hachioji" thermophilic anaerobic methanogenic reactor biofilm "['DRR066667', 'DRR066656']" MGYS00001851 -DRS034402 DRS034402 SAMD00056905 DRS034402 35.6693 139.4257 "Japan:Tokyo, Hachioji" thermophilic anaerobic methanogenic reactor water ['DRR066657'] MGYS00001851 -DRS034403 DRS034403 SAMD00056906 DRS034403 35.6693 139.4257 "Japan:Tokyo, Hachioji" thermophilic anaerobic methanogenic reactor biofilm "['DRR066668', 'DRR066658']" MGYS00001851 -DRS034404 DRS034404 SAMD00056907 DRS034404 35.6693 139.4257 "Japan:Tokyo, Hachioji" thermophilic anaerobic methanogenic reactor water ['DRR066659'] MGYS00001851 -DRS034405 DRS034405 SAMD00056908 DRS034405 35.6693 139.4257 "Japan:Tokyo, Hachioji" thermophilic anaerobic methanogenic reactor biofilm ['DRR066660'] MGYS00001851 -ERS223627 palm oil mill effluent (POME) metagenome SAMEA2163750 palm oil mill effluent (POME) metagenome 2 101 Malaysia palm oil mill effluent closed biodigester sludge ['ERR276848'] MGYS00001389 -ERS1572689 Black Water Project SAMEA100930918 Black Water Netherlands ['ERR1857181'] MGYS00001566 -ERS1572690 Black Water Project SAMEA100931668 Black Water Netherlands ['ERR1857182'] MGYS00001566 -ERS1572691 Black Water Project SAMEA100932418 Black Water Netherlands ['ERR1857183'] MGYS00001566 -ERS1572692 Black Water Project SAMEA100933168 Black Water Netherlands ['ERR1857184'] MGYS00001566 -ERS1572693 Black Water Project SAMEA100933918 Black Water Netherlands ['ERR1857185'] MGYS00001566 -ERS1572694 Black Water Project SAMEA100934668 Black Water Netherlands ['ERR1857186'] MGYS00001566 -ERS1572695 Black Water Project SAMEA100935418 Black Water Netherlands ['ERR1857187'] MGYS00001566 -ERS1572696 Black Water Project SAMEA100936168 Black Water Netherlands ['ERR1857188'] MGYS00001566 -ERS1572697 Black Water Project SAMEA100936918 Black Water Netherlands ['ERR1857189'] MGYS00001566 -ERS1572698 Black Water Project SAMEA100937668 Sludge UASB Netherlands ['ERR1857190'] MGYS00001566 -ERS1572699 Black Water Project SAMEA100938418 Sludge UASB Netherlands ['ERR1857191'] MGYS00001566 -ERS1572700 Black Water Project SAMEA100939168 Sludge UASB Netherlands ['ERR1857192'] MGYS00001566 -ERS1572701 Black Water Project SAMEA100939918 Sludge UASB Netherlands ['ERR1857193'] MGYS00001566 -ERS1572702 Black Water Project SAMEA100940668 Sludge UASB Netherlands ['ERR1857194'] MGYS00001566 -ERS1572703 Black Water Project SAMEA100941418 Sludge UASB Netherlands ['ERR1857195'] MGYS00001566 -ERS1572704 Black Water Project SAMEA100942168 Sludge UASB Netherlands ['ERR1857196'] MGYS00001566 -ERS1572705 Black Water Project SAMEA100942918 Sludge UASB Netherlands ['ERR1857197'] MGYS00001566 -ERS1572706 Black Water Project SAMEA100943668 Sludge UASB Netherlands ['ERR1857198'] MGYS00001566 -ERS1572707 Black Water Project SAMEA100944418 Effluent UASB Netherlands ['ERR1857199'] MGYS00001566 -ERS1572708 Black Water Project SAMEA100945168 Effluent UASB Netherlands ['ERR1857200'] MGYS00001566 -ERS1572709 Black Water Project SAMEA100945918 Effluent UASB Netherlands ['ERR1857201'] MGYS00001566 -ERS1572710 Black Water Project SAMEA100946668 Effluent UASB Netherlands ['ERR1857202'] MGYS00001566 -ERS1572711 Black Water Project SAMEA100947418 Effluent UASB Netherlands ['ERR1857203'] MGYS00001566 -ERS1572712 Black Water Project SAMEA100948168 Effluent UASB Netherlands ['ERR1857204'] MGYS00001566 -ERS1572713 Black Water Project SAMEA100948918 Effluent UASB Netherlands ['ERR1857205'] MGYS00001566 -ERS1572714 Black Water Project SAMEA100949668 Effluent UASB Netherlands ['ERR1857206'] MGYS00001566 -ERS1572715 Black Water Project SAMEA100950418 Effluent UASB Netherlands ['ERR1857207'] MGYS00001566 -ERS1572716 Black Water Project SAMEA100951168 Effluent PBR Netherlands ['ERR1857208'] MGYS00001566 -ERS1572717 Black Water Project SAMEA100951918 Effluent PBR Netherlands ['ERR1857209'] MGYS00001566 -ERS1572718 Black Water Project SAMEA100952668 Effluent PBR Netherlands ['ERR1857210'] MGYS00001566 -ERS1572719 Black Water Project SAMEA100953418 Effluent PBR Netherlands ['ERR1857211'] MGYS00001566 -ERS1572720 Black Water Project SAMEA100954168 Effluent PBR Netherlands ['ERR1857212'] MGYS00001566 -ERS1572721 Black Water Project SAMEA100954918 Effluent PBR Netherlands ['ERR1857213'] MGYS00001566 -ERS1572722 Black Water Project SAMEA100955668 Effluent PBR Netherlands ['ERR1857214'] MGYS00001566 -ERS1572723 Black Water Project SAMEA100956418 Effluent PBR Netherlands ['ERR1857215'] MGYS00001566 -ERS1572724 Black Water Project SAMEA100957168 Effluent PBR Netherlands ['ERR1857216'] MGYS00001566 -ERS2758580 TG.INF_W56.READ1 Taxonomy ID:256318 SAMEA4939797 TG.INF_W56.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814645'] MGYS00005056 -ERS2758581 FD.INF_W64.READ2 Taxonomy ID:256318 SAMEA4939798 FD.INF_W64.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814646'] MGYS00005056 -ERS2758582 MN.INF_W54.READ1 Taxonomy ID:256318 SAMEA4939799 MN.INF_W54.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814647'] MGYS00005056 -ERS2758583 WT.INF_W60.READ2 Taxonomy ID:256318 SAMEA4939800 WT.INF_W60.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814648'] MGYS00005056 -ERS2758584 ZR.INF_W62.READ2 Taxonomy ID:256318 SAMEA4939801 ZR.INF_W62.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814649'] MGYS00005056 -ERS2758585 ZR.INF_W62.READ1 Taxonomy ID:256318 SAMEA4939802 ZR.INF_W62.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814650'] MGYS00005056 -ERS2758586 AH.INF_W74.READ1 Taxonomy ID:256318 SAMEA4939803 AH.INF_W74.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814651'] MGYS00005056 -ERS2758587 AD.INF_W66.READ1 Taxonomy ID:256318 SAMEA4939804 AD.INF_W66.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814652'] MGYS00005056 -ERS2758588 FR.INF_W72.READ2 Taxonomy ID:256318 SAMEA4939805 FR.INF_W72.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814653'] MGYS00005056 -ERS2758589 FR.INF_W72.READ1 Taxonomy ID:256318 SAMEA4939806 FR.INF_W72.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814654'] MGYS00005056 -ERS2758590 EM.INF_W52.READ2 Taxonomy ID:256318 SAMEA4939807 EM.INF_W52.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814655'] MGYS00005056 -ERS2758591 TU.INF_W68.READ2 Taxonomy ID:256318 SAMEA4939808 TU.INF_W68.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814656'] MGYS00005056 -ERS2758592 TE.INF_W58.READ2 Taxonomy ID:256318 SAMEA4939809 TE.INF_W58.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814657'] MGYS00005056 -ERS2758593 AD.INF_W66.READ2 Taxonomy ID:256318 SAMEA4939810 AD.INF_W66.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814658'] MGYS00005056 -ERS2758594 AH.INF_W74.READ2 Taxonomy ID:256318 SAMEA4939811 AH.INF_W74.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814659'] MGYS00005056 -ERS2758595 FD.INF_W64.READ1 Taxonomy ID:256318 SAMEA4939812 FD.INF_W64.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814660'] MGYS00005056 -ERS2758596 TU.INF_W68.READ1 Taxonomy ID:256318 SAMEA4939813 TU.INF_W68.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814661'] MGYS00005056 -ERS2758597 WT.INF_W60.READ1 Taxonomy ID:256318 SAMEA4939814 WT.INF_W60.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814662'] MGYS00005056 -ERS2758598 TG.INF_W56.READ2 Taxonomy ID:256318 SAMEA4939815 TG.INF_W56.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814663'] MGYS00005056 -ERS2758599 MN.INF_W54.READ2 Taxonomy ID:256318 SAMEA4939816 MN.INF_W54.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814664'] MGYS00005056 -ERS2758600 BE.INF_W70.READ2 Taxonomy ID:256318 SAMEA4939817 BE.INF_W70.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814665'] MGYS00005056 -ERS2758601 BE.INF_W70.READ1 Taxonomy ID:256318 SAMEA4939818 BE.INF_W70.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814666'] MGYS00005056 -ERS2758602 TE.INF_W58.READ1 Taxonomy ID:256318 SAMEA4939819 TE.INF_W58.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814667'] MGYS00005056 -ERS2758603 EM.INF_W52.READ1 Taxonomy ID:256318 SAMEA4939820 EM.INF_W52.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2814668'] MGYS00005056 -ERS2967391 TG.EFF_W57.READ2 Taxonomy ID:256318 SAMEA5159662 TG.EFF_W57.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985255'] MGYS00005058 -ERS2967392 MN.EFF_W55.READ2 Taxonomy ID:256318 SAMEA5159663 MN.EFF_W55.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985256'] MGYS00005058 -ERS2967393 AH.EFF_W75.READ1 Taxonomy ID:256318 SAMEA5159664 AH.EFF_W75.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985257'] MGYS00005058 -ERS2967394 TE.EFF_W59.READ1 Taxonomy ID:256318 SAMEA5159665 TE.EFF_W59.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985258'] MGYS00005058 -ERS2967395 FD.EFF_W65.READ1 Taxonomy ID:256318 SAMEA5159666 FD.EFF_W65.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985259'] MGYS00005058 -ERS2967396 AD.EFF_W67.READ1 Taxonomy ID:256318 SAMEA5159667 AD.EFF_W67.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985260'] MGYS00005058 -ERS2967397 EM.EFF_W53.READ2 Taxonomy ID:256318 SAMEA5159669 EM.EFF_W53.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985261'] MGYS00005058 -ERS2967398 MN.EFF_W55.READ1 Taxonomy ID:256318 SAMEA5159670 MN.EFF_W55.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985262'] MGYS00005058 -ERS2967399 ZR.EFF_W63.READ2 Taxonomy ID:256318 SAMEA5159671 ZR.EFF_W63.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985263'] MGYS00005058 -ERS2967400 FD.EFF_W65.READ2 Taxonomy ID:256318 SAMEA5159672 FD.EFF_W65.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985264'] MGYS00005058 -ERS2967401 AD.EFF_W67.READ2 Taxonomy ID:256318 SAMEA5159673 AD.EFF_W67.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985265'] MGYS00005058 -ERS2967402 ZR.EFF_W63.READ1 Taxonomy ID:256318 SAMEA5159674 ZR.EFF_W63.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985266'] MGYS00005058 -ERS2967403 WT.EFF_W61.READ2 Taxonomy ID:256318 SAMEA5159675 WT.EFF_W61.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985267'] MGYS00005058 -ERS2967404 TG.EFF_W57.READ1 Taxonomy ID:256318 SAMEA5159676 TG.EFF_W57.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985268'] MGYS00005058 -ERS2967405 TU.EFF_W69.READ2 Taxonomy ID:256318 SAMEA5159677 TU.EFF_W69.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985269'] MGYS00005058 -ERS2967406 AH.EFF_W75.READ2 Taxonomy ID:256318 SAMEA5159678 AH.EFF_W75.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985270'] MGYS00005058 -ERS2967407 TE.EFF_W59.READ2 Taxonomy ID:256318 SAMEA5159679 TE.EFF_W59.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985271'] MGYS00005058 -ERS2967408 BE.EFF_W71.READ1 Taxonomy ID:256318 SAMEA5159680 BE.EFF_W71.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985272'] MGYS00005058 -ERS2967409 BE.EFF_W71.READ2 Taxonomy ID:256318 SAMEA5159681 BE.EFF_W71.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985273'] MGYS00005058 -ERS2967410 WT.EFF_W61.READ1 Taxonomy ID:256318 SAMEA5159682 WT.EFF_W61.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985274'] MGYS00005058 -ERS2967411 FR.EFF_W73.READ2 Taxonomy ID:256318 SAMEA5159683 FR.EFF_W73.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985275'] MGYS00005058 -ERS2967412 EM.EFF_W53.READ1 Taxonomy ID:256318 SAMEA5159684 EM.EFF_W53.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985276'] MGYS00005058 -ERS2967413 TU.EFF_W69.READ1 Taxonomy ID:256318 SAMEA5159685 TU.EFF_W69.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985277'] MGYS00005058 -ERS2967414 FR.EFF_W73.READ1 Taxonomy ID:256318 SAMEA5159686 FR.EFF_W73.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2985278'] MGYS00005058 -ERS946133 AS95Spen15102014 SAMEA3638984 AS95Spen15102014 54.7149 -1.614 United Kingdom Freshwater biome Wastewater treatment plant Sewage ['ERR1101751'] MGYS00000555 -SRS1791885 Gp0138790 SAMN05720209 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from China - AD_SCU002_MetaG 30.66 104.06 China "['ERZ1756056', 'OFEK01']" MGYS00002316 - MGYS00002316 -SRS1692508 Gp0138787 SAMN05720207 Active sludge microbial communities of municipal wastewater-treating anaerobic digesters from Hong Kong - AD_UKC113_MetaG 22.28 114.17 Hong Kong ['ERZ724020'] MGYS00003512 -ERS805486 MBR Sludge SAMEA3498337 MBR Sludge 57.05 9.8654 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERR977407'] MGYS00001392 -ERS805487 MBR Sludge SAMEA3498338 MBR Sludge 57.05 9.8654 Denmark wastewater treatment plant wastewater treatment plant activated sludge "['ERR977409', 'ERR977408']" MGYS00001392 -ERS805488 MBR Sludge SAMEA3498339 MBR Sludge 57.05 9.8654 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERR977410'] MGYS00001392 -ERS805489 MBR Sludge SAMEA3498340 MBR Sludge 57.05 9.8654 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERR977423'] MGYS00001392 -ERS805490 MBR Sludge SAMEA3498341 MBR Sludge 57.05 9.8654 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERR977424'] MGYS00001392 -ERS805491 MBR Sludge SAMEA3498342 MBR Sludge 57.05 9.8654 Denmark wastewater treatment plant wastewater treatment plant activated sludge ['ERR977425'] MGYS00001392 -ERS805492 ENR4_A SAMEA3498343 ENR4_A 43.3792 43.7239 Russia oil well oil well biofilm material ['ERR977403'] MGYS00001392 -ERS805493 ENR4_E SAMEA3498344 ENR4_E 43.3792 43.7239 Russia oil well oil well biofilm material ['ERR977404'] MGYS00001392 -ERS805494 ENR4_F SAMEA3498345 ENR4_F 43.3792 43.7239 Russia oil well oil well biofilm material ['ERR977405'] MGYS00001392 -ERS805495 ENR6_N3 SAMEA3498346 ENR6_N3 43.3792 43.7239 Russia oil well oil well biofilm material ['ERR977406'] MGYS00001392 -ERS805496 Vetmed_Pskit SAMEA3498347 Vetmed_Pskit 48.2549 16.4293 Austria wastewater treatment plant wastewater treatment plant activated sludge "['ERR977411', 'ERR977413', 'ERR977412']" MGYS00001392 -ERS805497 Vetmed_23 SAMEA3498348 Vetmed_23 48.2549 16.4293 Austria wastewater treatment plant wastewater treatment plant activated sludge "['ERR977415', 'ERR977416', 'ERR977414']" MGYS00001392 -ERS805498 GWW_HP_F1 SAMEA3498349 GWW_HP_F1 52.1489 10.5428 Germany water well water well biofilm material "['ERR977417', 'ERR977419', 'ERR977418']" MGYS00001392 -ERS805499 GWW_HP_D SAMEA3498350 GWW_HP_D 52.1489 10.5428 Germany water well water well biofilm material "['ERR977421', 'ERR977420', 'ERR977422']" MGYS00001392 -ERS1107870 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920736 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352952', 'ERR1352951']" MGYS00000777 -ERS1107871 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920737 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352953', 'ERR1352954']" MGYS00000777 -ERS1107872 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920738 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352955', 'ERR1352956']" MGYS00000777 -ERS1107873 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920739 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352957', 'ERR1352958']" MGYS00000777 -ERS1107874 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920740 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352959', 'ERR1352960']" MGYS00000777 -ERS1107875 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920741 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352962', 'ERR1352961']" MGYS00000777 -ERS1107846 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920712 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352903', 'ERR1352904']" MGYS00000777 -ERS1107847 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920713 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352906', 'ERR1352905']" MGYS00000777 -ERS1107848 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920714 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352907', 'ERR1352908']" MGYS00000777 -ERS1107849 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920715 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352909', 'ERR1352910']" MGYS00000777 -ERS1107860 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920726 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352932', 'ERR1352931']" MGYS00000777 -ERS1107861 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920727 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352934', 'ERR1352933']" MGYS00000777 -ERS1107862 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920728 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352935', 'ERR1352936']" MGYS00000777 -ERS1107863 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920729 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352937', 'ERR1352938']" MGYS00000777 -ERS1107864 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920730 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352940', 'ERR1352939']" MGYS00000777 -ERS1107865 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920731 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352942', 'ERR1352941']" MGYS00000777 -ERS1107866 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920732 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352944', 'ERR1352943']" MGYS00000777 -ERS1107867 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920733 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352946', 'ERR1352945']" MGYS00000777 -ERS1107850 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920716 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352911', 'ERR1352912']" MGYS00000777 -ERS1107851 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920717 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352914', 'ERR1352913']" MGYS00000777 -ERS1107858 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920724 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352928', 'ERR1352927']" MGYS00000777 -ERS1107859 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920725 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352929', 'ERR1352930']" MGYS00000777 -ERS1107868 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920734 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352948', 'ERR1352947']" MGYS00000777 -ERS1107869 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920735 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352949', 'ERR1352950']" MGYS00000777 -ERS1107852 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920718 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352915', 'ERR1352916']" MGYS00000777 -ERS1107853 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920719 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352918', 'ERR1352917']" MGYS00000777 -ERS1107854 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920720 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352920', 'ERR1352919']" MGYS00000777 -ERS1107855 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920721 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352922', 'ERR1352921']" MGYS00000777 -ERS1107856 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920722 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352924', 'ERR1352923']" MGYS00000777 -ERS1107857 Processed metagenomic and transcriptomic activated sludge samples SAMEA3920723 Processed metagenomic and transcriptomic activated sludge samples 47.4048 8.6097 Switzerland wastewater wastewater treatment plant activated sludge "['ERR1352925', 'ERR1352926']" MGYS00000777 -ERS1215575 DTU2016-1135-PRJ1066-RL-Sewage-63_S3_L001 SAMEA4044465 Danish sewage 55.695 12.615 Denmark "['ERZ1023632', 'ERR1467143']" MGYS00001135 -ERS1215578 DTU2016-1138-PRJ1066-RD-Sewage-72_S6_L001 SAMEA4044468 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023647', 'ERR1467146']" MGYS00001135 -ERS1215586 DTU2016-1146-PRJ1066-RL-Sewage-80_S14_L001 SAMEA4044476 Danish sewage 55.695 12.615 Denmark "['ERZ1023685', 'ERR1467154']" MGYS00001135 -ERS1217118 DTU2016-1166-PRJ1066-RD-Sewage-69_S8_L001 SAMEA4046008 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023726', 'ERR1470829']" MGYS00001135 -ERS1230337 DTU2016-1169-PRJ1066-RL-Sewage-82_S11_L001 SAMEA4059227 Danish sewage 55.695 12.615 Denmark "['ERZ1023741', 'ERR1512985']" MGYS00001135 -ERS1230347 DTU2016-1492-PRJ1066-RL-Sewage-55_S5_L001 SAMEA4059237 Danish sewage 55.695 12.615 Denmark "['ERZ1023769', 'ERR1512995']" MGYS00001135 -ERS1230365 DTU2016-1536-PRJ1066-RL-Sewage-90_S3_L001 SAMEA4059255 Danish sewage 55.695 12.615 Denmark "['ERZ1023794', 'ERR1513004']" MGYS00001135 -ERS1230366 DTU2016-1537-PRJ1066-RD-Sewage-91_S4_L001 SAMEA4059256 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023799', 'ERR1513005']" MGYS00001135 -ERS1230367 DTU2016-1538-PRJ1066-RL-Sewage-92_S5_L001 SAMEA4059257 Danish sewage 55.695 12.615 Denmark "['ERZ1023802', 'ERR1513006']" MGYS00001135 -ERS1243510 DTU2016-1601-PRJ1066-RD-Sewage-97_S1 SAMEA4072400 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023831', 'ERR1525434']" MGYS00001135 -ERS1243512 DTU2016-1605-PRJ1066-RD-Sewage-101_S5 SAMEA4072402 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023836', 'ERR1525436']" MGYS00001135 -ERS1243515 DTU2016-1610-PRJ1066-RA-Sewage-105_S9 SAMEA4072405 Danish sewage 55.6085 12.4505 Denmark "['ERZ1023847', 'ERR1525439']" MGYS00001135 -ERS1243522 DTU2016-1617-PRJ1066-RL-Sewage-49_S16 SAMEA4072412 Danish sewage 55.695 12.615 Denmark "['ERZ1023879', 'ERR1525446']" MGYS00001135 -ERS1215584 DTU2016-1144-PRJ1066-RL-Sewage-78_S12_L001 SAMEA4044474 Danish sewage 55.695 12.615 Denmark "['ERZ1023675', 'ERR1467152']" MGYS00001135 -ERS1217114 DTU2016-1162-PRJ1066-RL-Sewage-60_S4_L001 SAMEA4046004 Danish sewage 55.695 12.615 Denmark "['ERZ1023705', 'ERR1470825']" MGYS00001135 -ERS1217116 DTU2016-1164-PRJ1066-RD-Sewage-67_S6_L001 SAMEA4046006 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023716', 'ERR1470827']" MGYS00001135 -ERS1217119 DTU2016-1167-PRJ1066-RD-Sewage-70_S9_L001 SAMEA4046009 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023731', 'ERR1470830']" MGYS00001135 -ERS1230340 DTU2016-1173-PRJ1066-RA-Sewage-86_S15_L001 SAMEA4059230 Danish sewage 55.6085 12.4505 Denmark "['ERZ1023755', 'ERR1512988']" MGYS00001135 -ERS1230345 DTU2016-1490-PRJ1066-RA-Sewage-52_S3_L001 SAMEA4059235 Danish sewage 55.6085 12.4505 Denmark "['ERZ1023760', 'ERR1512993']" MGYS00001135 -ERS1234045 DTU2016-1571-PRJ1066-RD-Sewage-96_S12_L001 SAMEA4062935 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023821', 'ERR1514429']" MGYS00001135 -ERS1243513 DTU2016-1606-PRJ1066-RL-Sewage-102_S6 SAMEA4072403 Danish sewage 55.695 12.615 Denmark "['ERZ1023840', 'ERR1525437']" MGYS00001135 -ERS1243514 DTU2016-1609-PRJ1066-RD-Sewage-104_S8 SAMEA4072404 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023844', 'ERR1525438']" MGYS00001135 -ERS1243516 DTU2016-1611-PRJ1066-RL-Sewage-106_S10 SAMEA4072406 Danish sewage 55.695 12.615 Denmark "['ERZ1023851', 'ERR1525440']" MGYS00001135 -ERS1243520 DTU2016-1615-PRJ1066-RL-Sewage-50_S14 SAMEA4072410 Danish sewage 55.695 12.615 Denmark "['ERZ1023868', 'ERR1525444']" MGYS00001135 -ERS1230339 DTU2016-1171-PRJ1066-RD-Sewage-84_S13_L001 SAMEA4059229 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023750', 'ERR1512987']" MGYS00001135 -ERS1230350 DTU2016-1496-PRJ1066-RL-Sewage-87_S9_L001 SAMEA4059240 Danish sewage 55.695 12.615 Denmark "['ERZ1023777', 'ERR1512998']" MGYS00001135 -ERS1215574 DTU2016-1134-PRJ1066-RL-Sewage-62_S2_L001 SAMEA4044464 Danish sewage 55.695 12.615 Denmark "['ERZ1023628', 'ERR1467142']" MGYS00001135 -ERS1215580 DTU2016-1140-PRJ1066-RD-Sewage-74_S8_L001 SAMEA4044470 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023656', 'ERR1467148']" MGYS00001135 -ERS1215581 DTU2016-1141-PRJ1066-RD-Sewage-75_S9_L001 SAMEA4044471 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023661', 'ERR1467149']" MGYS00001135 -ERS1230336 DTU2016-1168-PRJ1066-RD-Sewage-71_S10_L001 SAMEA4059226 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023737', 'ERR1512984']" MGYS00001135 -ERS1234044 DTU2016-1570-PRJ1066-RL-Sewage-95_S11_L001 SAMEA4062934 Danish sewage 55.695 12.615 Denmark "['ERZ1023815', 'ERR1514428']" MGYS00001135 -ERS1243519 DTU2016-1614-PRJ1066-RD-Sewage-31_S13 SAMEA4072409 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023864', 'ERR1525443']" MGYS00001135 -ERS1215582 DTU2016-1142-PRJ1066-RD-Sewage-76_S10_L001 SAMEA4044472 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023667', 'ERR1467150']" MGYS00001135 -ERS1217113 DTU2016-1161-PRJ1066-RL-Sewage-59_S3_L001 SAMEA4046003 Danish sewage 55.695 12.615 Denmark "['ERZ1023700', 'ERR1470824']" MGYS00001135 -ERS1234046 DTU2016-1578-PRJ1066-RD-Sewage-103_S19_L001 SAMEA4062936 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023827', 'ERR1514430']" MGYS00001135 -ERS1243521 DTU2016-1616-PRJ1066-RA-Sewage-8_S15 SAMEA4072411 Danish sewage 55.6085 12.4505 Denmark "['ERZ1023875', 'ERR1525445']" MGYS00001135 -ERS1230349 DTU2016-1494-PRJ1066-RD-Sewage-66_S7_L001 SAMEA4059239 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023773', 'ERR1512997']" MGYS00001135 -ERS1234043 DTU2016-1569-PRJ1066-RD-Sewage-94_S10_L001 SAMEA4062933 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023811', 'ERR1514427']" MGYS00001135 -ERS1215576 DTU2016-1136-PRJ1066-RL-Sewage-64_S4_L001 SAMEA4044466 Danish sewage 55.695 12.615 Denmark "['ERZ1023637', 'ERR1467144']" MGYS00001135 -ERS1215577 DTU2016-1137-PRJ1066-RL-Sewage-65_S5_L001 SAMEA4044467 Danish sewage 55.695 12.615 Denmark "['ERZ1023642', 'ERR1467145']" MGYS00001135 -ERS1215583 DTU2016-1143-PRJ1066-RD-Sewage-77_S11_L001 SAMEA4044473 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023671', 'ERR1467151']" MGYS00001135 -ERS1217111 DTU2016-1159-PRJ1066-RL-Sewage-57_S1_L001 SAMEA4046001 Danish sewage 55.695 12.615 Denmark "['ERZ1023689', 'ERR1470822']" MGYS00001135 -ERS1217117 DTU2016-1165-PRJ1066-RD-Sewage-68_S7_L001 SAMEA4046007 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023721', 'ERR1470828']" MGYS00001135 -ERS1230364 DTU2016-1535-PRJ1066-RD-Sewage-89_S2_L001 SAMEA4059254 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023787', 'ERR1513003']" MGYS00001135 -ERS1230338 DTU2016-1170-PRJ1066-RD-Sewage-83_S12_L001 SAMEA4059228 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023745', 'ERR1512986']" MGYS00001135 -ERS1230346 DTU2016-1491-PRJ1066-RA-Sewage-53_S4_L001 SAMEA4059236 Danish sewage 55.6085 12.4505 Denmark "['ERZ1023765', 'ERR1512994']" MGYS00001135 -ERS1230368 DTU2016-1539-PRJ1066-RD-Sewage-93_S6_L001 SAMEA4059258 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023806', 'ERR1513007']" MGYS00001135 -ERS1243517 DTU2016-1612-PRJ1066-RL-Sewage-107_S11 SAMEA4072407 Danish sewage 55.695 12.615 Denmark "['ERZ1023856', 'ERR1525441']" MGYS00001135 -ERS1243518 DTU2016-1613-PRJ1066-RD-Sewage-108_S12 SAMEA4072408 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023860', 'ERR1525442']" MGYS00001135 -ERS1215579 DTU2016-1139-PRJ1066-RD-Sewage-73_S7_L001 SAMEA4044469 Danish sewage 55.6405 12.5058 Denmark "['ERZ1023652', 'ERR1467147']" MGYS00001135 -ERS1215585 DTU2016-1145-PRJ1066-RL-Sewage-79_S13_L001 SAMEA4044475 Danish sewage 55.695 12.615 Denmark "['ERZ1023681', 'ERR1467153']" MGYS00001135 -ERS1217115 DTU2016-1163-PRJ1066-RL-Sewage-61_S5_L001 SAMEA4046005 Danish sewage 55.695 12.615 Denmark "['ERZ1023710', 'ERR1470826']" MGYS00001135 -ERS1217112 DTU2016-1160-PRJ1066-RL-Sewage-58_S2_L001 SAMEA4046002 Danish sewage 55.695 12.615 Denmark "['ERZ1023696', 'ERR1470823']" MGYS00001135 -ERS1215573 DTU2016-1133-PRJ1066-RA-Sewage-54_S1_L001 SAMEA4044463 Danish sewage 55.6085 12.4505 Denmark "['ERZ1023622', 'ERR1467141']" MGYS00001135 -ERS1230348 Danish sewage SAMEA4059238 Danish sewage 55.695 12.615 Denmark ['ERR1512996'] MGYS00001135 -ERS1230363 Danish sewage SAMEA4059253 Danish sewage 55.695 12.615 Denmark ['ERR1513002'] MGYS00001135 -ERS1230341 Danish sewage SAMEA4059231 "Negative control sample for samples 57 - 61, 67-71, 82-86" 55.695 12.615 Denmark ['ERR1512989'] MGYS00001135 -ERS1230342 Danish sewage SAMEA4059232 Danish sewage 55.695 12.615 Denmark ['ERR1512990'] MGYS00001135 -ERS1230343 Danish sewage SAMEA4059233 Danish sewage 55.6405 12.5058 Denmark ['ERR1512991'] MGYS00001135 -ERS1230344 Danish sewage SAMEA4059234 Danish sewage 55.695 12.615 Denmark ['ERR1512992'] MGYS00001135 -ERS1230351 Danish sewage SAMEA4059241 "Negative control for samples; 32, 51-53, 55-56, 66, 87-93" 55.6405 12.5058 Denmark ['ERR1512999'] MGYS00001135 -ERS1230352 Danish sewage SAMEA4059242 "Negative control for samples; 32, 51-53, 55-56, 66, 87-93" 55.6405 12.5058 Denmark ['ERR1513000'] MGYS00001135 -ERS1230353 Danish sewage SAMEA4059243 Danish sewage 55.6405 12.5058 Denmark ['ERR1513001'] MGYS00001135 -ERS1243511 Danish sewage SAMEA4072401 Danish sewage 55.695 12.615 Denmark ['ERR1525435'] MGYS00001135 -ERS1426778 wastewater metagenome SAMEA4527599 "Tirana, Albania" 41.327 9.818 Albania "['ERR1725938', 'ERR2592244', 'ERR1713331', 'ERR1713331']" MGYS00001312 -ERS1426779 wastewater metagenome SAMEA4527600 "Woden, Australia" 35.345 149.095 Australia "['ERR2592245', 'ERR1713332', 'ERR1725939', 'ERR1725940', 'ERR2592328', 'ERR1713332']" MGYS00001312 -ERS1426780 wastewater metagenome SAMEA4527601 "Melbourne, Australia" 37.914 144.643 Australia "['ERR1725942', 'ERR1725943', 'ERR1725941', 'ERR1713333', 'ERR1725944', 'ERR1713333']" MGYS00001312 -ERS1426781 wastewater metagenome SAMEA4527602 "Vienna, Austria" 48.208 16.373 Austria "['ERR1725945', 'ERR1713334', 'ERR2592246', 'ERR1725946', 'ERR1713334']" MGYS00001312 -ERS1426782 wastewater metagenome SAMEA4527603 "Sofia, Bulgaria" 42.697 23.321 Bulgaria "['ERR2592247', 'ERR1725947', 'ERR1725948', 'ERR1713335', 'ERR1713335']" MGYS00001312 -ERS1426783 wastewater metagenome SAMEA4527604 "Belem, Brasil" 1.455 48.49 Brazil "['ERR1725949', 'ERR2592248', 'ERR1713336', 'ERR1713336']" MGYS00001312 -ERS1426784 wastewater metagenome SAMEA4527605 "Belem, Brasil" 1.455 48.49 Brazil "['ERR1713337', 'ERR1725950', 'ERR1725951', 'ERR1713337']" MGYS00001312 -ERS1426785 wastewater metagenome SAMEA4527606 "Palapye, Botswana" 22.551 27.114 Botswana "['ERR1725952', 'ERR1725953', 'ERR1713338', 'ERR2592249', 'ERR1713338']" MGYS00001312 -ERS1426786 wastewater metagenome SAMEA4527607 "Regina, Canada" 50.445 104.618 Canada "['ERR2592329', 'ERR1725954', 'ERR1713339', 'ERR1713339']" MGYS00001312 -ERS1426787 wastewater metagenome SAMEA4527608 "Calgary, Canada" 51.048 114.07 Canada "['ERR1725956', 'ERR1725957', 'ERR1725958', 'ERR1713340', 'ERR1725955', 'ERR1713340']" MGYS00001312 -ERS1426788 wastewater metagenome SAMEA4527609 "Toronto, Canada" 43.653 79.383 Canada "['ERR2592250', 'ERR1725960', 'ERR1725959', 'ERR1713341', 'ERR1713341']" MGYS00001312 -ERS1426789 wastewater metagenome SAMEA4527610 "Ottawa, Canada" 45.421 75.697 Canada "['ERR1713342', 'ERR1713342']" MGYS00001312 -ERS1426790 wastewater metagenome SAMEA4527611 "Herrenschwanden, Switzerland" 46.948 7.447 Switzerland "['ERR1725963', 'ERR2592331', 'ERR1725961', 'ERR1725964', 'ERR2592251', 'ERR1713343', 'ERR1725962', 'ERR1713343']" MGYS00001312 -ERS1426791 wastewater metagenome SAMEA4527612 "Guangzhou, China" 23.129 113.264 China "['ERR1713344', 'ERR1713344']" MGYS00001312 -ERS1426792 wastewater metagenome SAMEA4527613 "Abidjan, Cote d''Ivoire" 5.36 4.008 Cote d'Ivoire "['ERR2592252', 'ERR1725965', 'ERR1713345', 'ERR1713345']" MGYS00001312 -ERS1426793 wastewater metagenome SAMEA4527614 "Mosquera, Colombia" 4.706 74.23 Colombia "['ERR1713346', 'ERR1713346']" MGYS00001312 -ERS1426794 wastewater metagenome SAMEA4527615 "Brno, Czech Republic" 49.195 16.606 Czech Republic "['ERR2592253', 'ERR1725966', 'ERR1713347', 'ERR1713347']" MGYS00001312 -ERS1426795 wastewater metagenome SAMEA4527616 "Berlin, Germany" 52.52 13.405 Germany "['ERR1725968', 'ERR2592254', 'ERR2592332', 'ERR1725967', 'ERR1713348', 'ERR1713348']" MGYS00001312 -ERS1426796 wastewater metagenome SAMEA4527617 "Copenhagen, Denmark" 55.676 12.568 Denmark "['ERR1713349', 'ERR1713349']" MGYS00001312 -ERS1426797 wastewater metagenome SAMEA4527618 "Copenhagen, Denmark" 55.676 12.568 Denmark "['ERR1713350', 'ERR1713350']" MGYS00001312 -ERS1426798 wastewater metagenome SAMEA4527619 "Copenhagen, Denmark" 55.676 12.568 Denmark "['ERR1713351', 'ERR1713351']" MGYS00001312 -ERS1426799 wastewater metagenome SAMEA4527620 "Quito, Ecuador" 0.18 78.467 Ecuador "['ERR1713352', 'ERR1713352']" MGYS00001312 -ERS1426800 wastewater metagenome SAMEA4527621 "San Cristobal Island, Galapagos, Ecuador" 0.867 89.436 Ecuador "['ERR1713353', 'ERR2592333', 'ERR1713353']" MGYS00001312 -ERS1426801 wastewater metagenome SAMEA4527622 "Barcelona, Spain" 41.385 2.173 Spain "['ERR2592334', 'ERR1725971', 'ERR1725970', 'ERR1725972', 'ERR1713354', 'ERR1725969', 'ERR1713354']" MGYS00001312 -ERS1426802 wastewater metagenome SAMEA4527623 "Addis Ababa, Ethiopia" 8.98 38.757 Ethiopia "['ERR1713355', 'ERR1713355']" MGYS00001312 -ERS1426803 wastewater metagenome SAMEA4527624 "Helsinki, Finland" 60.169 24.938 Finland "['ERR1713356', 'ERR1725973', 'ERR2592255', 'ERR1713356']" MGYS00001312 -ERS1426804 wastewater metagenome SAMEA4527625 "Tbilisi, Georgia" 41.715 44.827 Georgia "['ERR1713357', 'ERR1725974', 'ERR1725975', 'ERR2592256', 'ERR1713357']" MGYS00001312 -ERS1426805 wastewater metagenome SAMEA4527626 "Tamale, Ghana" 9.432 0.848 Ghana "['ERR1713358', 'ERR1713358']" MGYS00001312 -ERS1426806 wastewater metagenome SAMEA4527627 "Banjul, Gambia" 13.454 16.579 Gambia "['ERR1713359', 'ERR1713359']" MGYS00001312 -ERS1426807 wastewater metagenome SAMEA4527628 "Zagreb, Croatia" 45.815 15.981 Croatia "['ERR1713360', 'ERR1725977', 'ERR1725976', 'ERR2592257', 'ERR2592335', 'ERR1713360']" MGYS00001312 -ERS1426808 wastewater metagenome SAMEA4527629 "Budapest, Hungary" 47.497 19.04 Hungary "['ERR1713361', 'ERR1713361']" MGYS00001312 -ERS1426809 wastewater metagenome SAMEA4527630 "Cochin, India" 9.931 76.267 India "['ERR1725978', 'ERR2592258', 'ERR1713362', 'ERR1713362']" MGYS00001312 -ERS1426810 wastewater metagenome SAMEA4527631 "Galway, Ireland" 53.27 9.056 Ireland "['ERR1725979', 'ERR1725980', 'ERR1713363', 'ERR1713363']" MGYS00001312 -ERS1426811 wastewater metagenome SAMEA4527632 "Tehran, Iran" 35.689 51.389 Iran "['ERR2592259', 'ERR1713364', 'ERR1725981', 'ERR1713364']" MGYS00001312 -ERS1426812 wastewater metagenome SAMEA4527633 "Reykjavik, Iceland" 64.126 21.817 Iceland "['ERR1725982', 'ERR1713365', 'ERR2592260', 'ERR1713365']" MGYS00001312 -ERS1426813 wastewater metagenome SAMEA4527634 "Jerusalem, Israel" 31.768 35.213 Israel "['ERR1725984', 'ERR1713366', 'ERR1725983', 'ERR1713366']" MGYS00001312 -ERS1426814 wastewater metagenome SAMEA4527635 "Rome, Italy" 41.902 12.496 Italy "['ERR1713367', 'ERR1713367']" MGYS00001312 -ERS1426815 wastewater metagenome SAMEA4527636 "Almaty, Kazakhstan" 43.222 76.851 Kazakhstan "['ERR1713368', 'ERR1713368']" MGYS00001312 -ERS1426816 wastewater metagenome SAMEA4527637 "Nairobi, Kenya" 1.292 36.821 Kenya "['ERR1713369', 'ERR1725986', 'ERR2592261', 'ERR1725985', 'ERR1713369']" MGYS00001312 -ERS1426817 wastewater metagenome SAMEA4527638 "Phnom Penh, Cambodia" 11.544 104.892 Cambodia "['ERR1713370', 'ERR1713370']" MGYS00001312 -ERS1426818 wastewater metagenome SAMEA4527639 "Colombo, Sri Lanka" 6.927 79.861 Sri Lanka "['ERR1713371', 'ERR1713371']" MGYS00001312 -ERS1426819 wastewater metagenome SAMEA4527640 "Belvaux, Luxembourg" 49.509 5.922 Luxembourg "['ERR1713372', 'ERR1713372']" MGYS00001312 -ERS1426820 wastewater metagenome SAMEA4527641 "Riga, Latvia" 56.949 24.105 Latvia "['ERR1725987', 'ERR1713373', 'ERR2592262', 'ERR2592336', 'ERR1713373']" MGYS00001312 -ERS1426821 wastewater metagenome SAMEA4527642 "Chisinau, Moldova" 47.01 28.863 Moldova "['ERR1725988', 'ERR1713374', 'ERR1725989', 'ERR1713374']" MGYS00001312 -ERS1426822 wastewater metagenome SAMEA4527643 "Skopje, Republic of Macedonia" 41.997 21.428 Macedonia "['ERR2592263', 'ERR1725990', 'ERR1713375', 'ERR1725991', 'ERR1713375']" MGYS00001312 -ERS1426823 wastewater metagenome SAMEA4527644 "St. Venera, Malta" 35.89 14.476 Malta "['ERR1725992', 'ERR1725993', 'ERR1713376', 'ERR1713376']" MGYS00001312 -ERS1426824 wastewater metagenome SAMEA4527645 "Bedong, Malaysia" 5.728 100.507 Malaysia "['ERR2592264', 'ERR1713377', 'ERR2592337', 'ERR1725995', 'ERR1725994', 'ERR1713377']" MGYS00001312 -ERS1426825 wastewater metagenome SAMEA4527646 "Ibadan, Nigeria" 7.377 3.947 Nigeria "['ERR2592265', 'ERR1713378', 'ERR1725996', 'ERR1713378']" MGYS00001312 -ERS1426826 wastewater metagenome SAMEA4527647 "Bilthoven, The Netherlands" 52.136 5.21 Netherlands "['ERR1725998', 'ERR2592338', 'ERR2592266', 'ERR1713379', 'ERR1725997', 'ERR1713379']" MGYS00001312 -ERS1426827 wastewater metagenome SAMEA4527648 "Oslo, Norway" 59.913 10.752 Norway "['ERR2592267', 'ERR1713380', 'ERR1725999', 'ERR1713380']" MGYS00001312 -ERS1426828 wastewater metagenome SAMEA4527649 "Kathmandu, Nepal" 27.717 85.324 Nepal "['ERR1713381', 'ERR1713381']" MGYS00001312 -ERS1426829 wastewater metagenome SAMEA4527650 "Dunedin, New Zealand" 45.878 170.502 New Zealand "['ERR1713382', 'ERR1713382']" MGYS00001312 -ERS1426830 wastewater metagenome SAMEA4527651 "Pulawy, Poland" 51.416 21.969 Poland "['ERR1713383', 'ERR1726000', 'ERR2592268', 'ERR1713383']" MGYS00001312 -ERS1426831 wastewater metagenome SAMEA4527652 "Karachi, Pakistan" 24.861 67.009 Pakistan "['ERR1713384', 'ERR1713384']" MGYS00001312 -ERS1426832 wastewater metagenome SAMEA4527653 "Lima, Peru" 12.046 77.042 Peru "['ERR1713385', 'ERR1713385']" MGYS00001312 -ERS1426833 wastewater metagenome SAMEA4527654 "Dakar, Senegal" 14.764 17.366 Senegal "['ERR1713386', 'ERR1713386']" MGYS00001312 -ERS1426834 wastewater metagenome SAMEA4527655 "Singapore, Singapore" 1.352 103.819 Singapore "['ERR1713387', 'ERR1726001', 'ERR2592269', 'ERR1713387']" MGYS00001312 -ERS1426835 wastewater metagenome SAMEA4527656 "Belgrade, Serbia" 44.786 20.448 Serbia "['ERR1726002', 'ERR1713388', 'ERR2592270', 'ERR1713388']" MGYS00001312 -ERS1426836 wastewater metagenome SAMEA4527657 "Bratislava, Slovakia" 48.148 17.107 Slovakia "['ERR1713389', 'ERR1726003', 'ERR1713389']" MGYS00001312 -ERS1426837 wastewater metagenome SAMEA4527658 "Ljubljana, Slovenia" 46.056 14.505 Slovenia "['ERR1713390', 'ERR2592271', 'ERR1726004', 'ERR1713390']" MGYS00001312 -ERS1426838 wastewater metagenome SAMEA4527659 "Uppsala, Sweden" 59.858 17.638 Sweden "['ERR1713391', 'ERR1713391']" MGYS00001312 -ERS1426839 wastewater metagenome SAMEA4527660 "Gotheborg, Sweden" 57.708 11.974 Sweden "['ERR1726005', 'ERR1713392', 'ERR1726006', 'ERR1713392']" MGYS00001312 -ERS1426840 wastewater metagenome SAMEA4527661 "N''Djamena, Chad" 12.134 15.055 Chad "['ERR2592272', 'ERR1726008', 'ERR1713393', 'ERR2592339', 'ERR1726007', 'ERR1713393']" MGYS00001312 -ERS1426841 wastewater metagenome SAMEA4527662 "Lome, Togo" 6.172 1.231 Togo "['ERR1713394', 'ERR1713394']" MGYS00001312 -ERS1426842 wastewater metagenome SAMEA4527663 "Ankara, Turkey" 39.933 32.859 Turkey "['ERR2592273', 'ERR1713395', 'ERR1726009', 'ERR1713395']" MGYS00001312 -ERS1426843 wastewater metagenome SAMEA4527664 "Moshi, Tanzania" 3.343 37.329 Tanzania "['ERR1713396', 'ERR1713396']" MGYS00001312 -ERS1426844 wastewater metagenome SAMEA4527665 "Atlanta, GA, USA" 33.749 84.388 USA "['ERR1713397', 'ERR1713397']" MGYS00001312 -ERS1426845 wastewater metagenome SAMEA4527666 "Seattle,WA, USA" 47.606 122.332 USA "['ERR1726010', 'ERR1713398', 'ERR1726011', 'ERR2592274', 'ERR1713398']" MGYS00001312 -ERS1426846 wastewater metagenome SAMEA4527667 "Chicago, IL, USA" 41.878 87.629 USA "['ERR1726014', 'ERR2592340', 'ERR1726012', 'ERR1713399', 'ERR1726015', 'ERR1726013', 'ERR2592275', 'ERR1713399']" MGYS00001312 -ERS1426847 wastewater metagenome SAMEA4527668 "Portland,OR, USA" 37.09 95.712 USA "['ERR2592276', 'ERR1713400', 'ERR1713400']" MGYS00001312 -ERS1426848 wastewater metagenome SAMEA4527669 "El Paso, TX, USA" 31.761 106.485 USA "['ERR1713401', 'ERR1726017', 'ERR2592277', 'ERR1726016', 'ERR1713401']" MGYS00001312 -ERS1426849 wastewater metagenome SAMEA4527670 "El Paso, TX, USA" 31.761 106.485 USA "['ERR1713402', 'ERR1726018', 'ERR1726019', 'ERR2592278', 'ERR1713402']" MGYS00001312 -ERS1426850 wastewater metagenome SAMEA4527671 "El Paso, TX, USA" 31.761 106.485 USA "['ERR1726023', 'ERR1726022', 'ERR2592341', 'ERR2592279', 'ERR1726021', 'ERR1713403', 'ERR1726020', 'ERR1713403']" MGYS00001312 -ERS1426851 wastewater metagenome SAMEA4527672 "El Paso, TX, USA" 31.761 106.485 USA "['ERR2592280', 'ERR1726028', 'ERR1726027', 'ERR1726025', 'ERR1713404', 'ERR1726026', 'ERR1726029', 'ERR2592342', 'ERR1726024', 'ERR1713404']" MGYS00001312 -ERS1426852 wastewater metagenome SAMEA4527673 "South Adams County, CO, USA" 39.887 104.828 USA "['ERR1713405', 'ERR1713405']" MGYS00001312 -ERS1426853 wastewater metagenome SAMEA4527674 "Boulder, CO, USA" 40.015 105.27 USA "['ERR1713406', 'ERR1713406']" MGYS00001312 -ERS1426854 wastewater metagenome SAMEA4527675 "Ho Chi Minh, Vietnam" 10.823 106.629 Viet Nam "['ERR1713407', 'ERR1713407']" MGYS00001312 -ERS1426855 wastewater metagenome SAMEA4527676 "Pristina, Kosovo" 42.662 42.662 Kosovo "['ERR1713408', 'ERR1713408']" MGYS00001312 -ERS1426856 wastewater metagenome SAMEA4527677 "Johannesburg, South Africa" 26.204 28.047 South Africa "['ERR1713409', 'ERR2592281', 'ERR1726030', 'ERR1713409']" MGYS00001312 -ERS1426857 wastewater metagenome SAMEA4527678 "Lusaka, Zambia" 15.387 28.322 Zambia "['ERR1726031', 'ERR2592282', 'ERR1713410', 'ERR1713410']" MGYS00001312 -ERS1426858 wastewater metagenome SAMEA4527679 "Kitwe, Zambia" 12.823 28.217 Zambia "['ERR1726033', 'ERR1726034', 'ERR1713411', 'ERR2592343', 'ERR2592283', 'ERR1726032', 'ERR1726035', 'ERR1713411']" MGYS00001312 -ERS1100423 sewage sludge soil SAMEA3913289 sewage sludge soil 120.5 30.5 China sewage sludge sewage sludge sewage sludge ['ERR1341804'] MGYS00000648 -ERS1100422 sewage sludge soil SAMEA3913288 sewage sludge soil 120.5 30.5 China sewage sludge sewage sludge sewage sludge ['ERR1341803'] MGYS00000648 -ERS2753749 AD.NFC_W90.READ1 Taxonomy ID:256318 SAMEA4934959 AD.NFC_W90.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808645'] MGYS00005055 -ERS2753750 WT.NFC_W84.READ1 Taxonomy ID:256318 SAMEA4934960 WT.NFC_W84.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808646'] MGYS00005055 -ERS2753751 AD.NFC_W90.READ2 Taxonomy ID:256318 SAMEA4934961 AD.NFC_W90.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808647'] MGYS00005055 -ERS2753752 TE.NFC_W82.READ1 Taxonomy ID:256318 SAMEA4934962 TE.NFC_W82.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808648'] MGYS00005055 -ERS2753753 TU.NFC_W92.READ2 Taxonomy ID:256318 SAMEA4934963 TU.NFC_W92.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808649'] MGYS00005055 -ERS2753754 TE.NFC_W82.READ2 Taxonomy ID:256318 SAMEA4934964 TE.NFC_W82.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808650'] MGYS00005055 -ERS2753755 AH.NFC_W97.READ2 Taxonomy ID:256318 SAMEA4934965 AH.NFC_W97.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808651'] MGYS00005055 -ERS2753756 ZR.NFC_W86.READ1 Taxonomy ID:256318 SAMEA4934966 ZR.NFC_W86.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808652'] MGYS00005055 -ERS2753757 MN.NFC_W78.READ2 Taxonomy ID:256318 SAMEA4934967 MN.NFC_W78.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808653'] MGYS00005055 -ERS2753758 BE.NFC_W94.READ2 Taxonomy ID:256318 SAMEA4934968 BE.NFC_W94.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808654'] MGYS00005055 -ERS2753759 TG.NFC_W80.READ2 Taxonomy ID:256318 SAMEA4934969 TG.NFC_W80.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808655'] MGYS00005055 -ERS2753760 FD.NFC_W88.READ2 Taxonomy ID:256318 SAMEA4934970 FD.NFC_W88.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808656'] MGYS00005055 -ERS2753761 TG.NFC_W80.READ1 Taxonomy ID:256318 SAMEA4934971 TG.NFC_W80.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808657'] MGYS00005055 -ERS2753762 ZR.NFC_W86.READ2 Taxonomy ID:256318 SAMEA4934972 ZR.NFC_W86.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808658'] MGYS00005055 -ERS2753763 FR.NFC_W95.READ2 Taxonomy ID:256318 SAMEA4934973 FR.NFC_W95.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808659'] MGYS00005055 -ERS2753764 AH.NFC_W97.READ1 Taxonomy ID:256318 SAMEA4934974 AH.NFC_W97.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808660'] MGYS00005055 -ERS2753765 WT.NFC_W84.READ2 Taxonomy ID:256318 SAMEA4934975 WT.NFC_W84.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808661'] MGYS00005055 -ERS2753766 FD.NFC_W88.READ1 Taxonomy ID:256318 SAMEA4934976 FD.NFC_W88.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808662'] MGYS00005055 -ERS2753767 EM.NFC_W76.READ2 Taxonomy ID:256318 SAMEA4934977 EM.NFC_W76.READ2 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808663'] MGYS00005055 -ERS2753768 TU.NFC_W92.READ1 Taxonomy ID:256318 SAMEA4934978 TU.NFC_W92.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808664'] MGYS00005055 -ERS2753769 EM.NFC_W76.READ1 Taxonomy ID:256318 SAMEA4934979 EM.NFC_W76.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808665'] MGYS00005055 -ERS2753770 FR.NFC_W95.READ1 Taxonomy ID:256318 SAMEA4934980 FR.NFC_W95.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808666'] MGYS00005055 -ERS2753771 MN.NFC_W78.READ1 Taxonomy ID:256318 SAMEA4934981 MN.NFC_W78.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808667'] MGYS00005055 -ERS2753772 BE.NFC_W94.READ1 Taxonomy ID:256318 SAMEA4934982 BE.NFC_W94.READ1 Taxonomy ID:256318 46.8182 8.2275 Switzerland aquatic biome wastewater treatment plant water ['ERR2808668'] MGYS00005055 \ No newline at end of file diff --git a/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/3_Extra_info/1_test_md.md b/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/3_Extra_info/1_test_md.md deleted file mode 100644 index 946e72d..0000000 --- a/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/3_Extra_info/1_test_md.md +++ /dev/null @@ -1,77 +0,0 @@ -### Questions -#### Is the UML diagram ok? Should I change or add something? -Ok -Add part to explain that UI is not mandatory -Add subsection class - -#### Should I assume that the user already has the plot files? No option for creating the plots from the data? - -Yes, the previous part will be done by VCore - -#### Should I create a class to validate the integrity of files and yaml, or this can be done inside the corresponding classes? - -No, the validation will be done internally, as a method of the metadataTranslator class - -#### Should I create a specific class for handling potential errors? or it will be a repetition of the validation one? - -No, it should be done inside every function with try and catch statements or others - -#### What do you think about creating a ReportViewFactory, which decides what format is going to be used? - -Right now, not necessary, just try the interface approach and then will see - -#### Should I also have a Datahandler class, connecting from the UI to the Report? - -Not necessary, this is already covered by the MetadataTranslator - -#### Should I have a ReportFormatter class instead of the specific ReporterViews? - -No, just work with the interface approach - -#### Is it ok if I use the @dataclass decorator to the classes to add dunder/special methods, instead of defining them myself every time? - -Ok - -#### How the GraphRAG interface can be created using report_generator? Should we add more functionalities later, or implement them now? - -It won't be necessarily implemented using report_generator, but some of the functions to visualize graphs or others can be used. - -Also, maybe it's possible to provide the code or other information as input, and then create the specific parts in the report, but this will be evaluated after - -#### How we would integrate the network analysis and exporting part into report_generator? - -No needed now - -#### When to use setuptools library and setup.py script instead of ve managers like pienv or poetry? - -Yeah different, setup.py for creating Python package - -#### Quarto vs Pandoc - -* Quarto is built on pandoc and can convert to many formats, should we rely on its CLI? -* Python wrapper for pandoc - pypandoc -* Another option could be to use jupyter notebooks and from there export the other formats using nbconvert -* Maybe make integration with Quarto or Pandoc optional, and other functionalities working without them - -| **Feature** | **Pandoc** | **Quarto** | -| ----------------------------------- | ------------------------------------------------------------ | ---------------------------------------------------------------------------- | -| **Supported Formats** | Wide range, but mostly document-centric (PDF, HTML, Jupyter) | Same formats as Pandoc but more convenient for reports with code execution. | -| **Multi-format Outputs** | Requires configuring multiple templates for each format. | Designed for multi-format publishing from a single `.qmd` file. | -| **Code Execution** | Possible, but not natively integrated. | Native support for embedded executable code (Python, R, Julia). | -| **Custom Templates** | Requires manual setup (LaTeX, Markdown, etc.). | Pre-defined templates and easy-to-customize options. | -| **Ease of Use for Complex Reports** | Basic transformation, might need more manual work. | Streamlined for complex reports with multiple sections, metadata, and plots. | -| **Integration with Jupyter** | Can convert Jupyter Notebooks to other formats. | Native integration with Jupyter Notebooks (supports notebooks as input). | - -#### Learning/Doing -* OOP in Python -* UML and conventions -* Design patterns -* Streamlit and St components - how it works under the hood -* LLM course - how to create RAGs - -#### Extra -Add sub-sections for grouping plots of a certain category together - - - - diff --git a/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/3_Extra_info/plot.html b/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/3_Extra_info/plot.html deleted file mode 100644 index 599a654..0000000 --- a/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/3_Extra_info/plot.html +++ /dev/null @@ -1,26 +0,0 @@ - - - - Interactive Chart Example - - - -

Interactive Chart

- - - - \ No newline at end of file diff --git a/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/1_Network_visualization1/1_man_example.graphml b/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/1_Network_visualization1/1_man_example.graphml deleted file mode 100644 index 6bccc52..0000000 --- a/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/1_Network_visualization1/1_man_example.graphml +++ /dev/null @@ -1,321 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2769 - Acinetobacter_rhizosphaerae - Acinetobacter_rhizosphaerae - false - Acinetobacter_rhizosphaerae - 4.0 - 2.0 - - - 2767 - Eubacterium_biforme - Eubacterium_biforme - false - Eubacterium_biforme - 3.0 - 1.0 - - - 2765 - Acinetobacter_lwoffii - Acinetobacter_lwoffii - false - Acinetobacter_lwoffii - 3.0 - 2.0 - - - 2763 - Acinetobacter_johnsonii - Acinetobacter_johnsonii - false - Acinetobacter_johnsonii - 4.0 - 2.0 - - - 2761 - Acinetobacter_guillouiae - Acinetobacter_guillouiae - false - Acinetobacter_guillouiae - 3.0 - 2.0 - - - 2759 - Paracoccus_marcusii - Paracoccus_marcusii - false - Paracoccus_marcusii - 2.0 - 2.0 - - - 2757 - Collinsella_aerofaciens - Collinsella_aerofaciens - false - Collinsella_aerofaciens - 3.0 - 1.0 - - - 2755 - Bifidobacterium_longum - Bifidobacterium_longum - false - Bifidobacterium_longum - 3.0 - 1.0 - - - 2753 - Bifidobacterium_adolescentis - Bifidobacterium_adolescentis - false - Bifidobacterium_adolescentis - 3.0 - 1.0 - - - 2797 - Acinetobacter_lwoffii (interacts with) Acinetobacter_rhizosphaerae - interacts with - Acinetobacter_lwoffii (interacts with) Acinetobacter_rhizosphaerae - false - interacts with - Acinetobacter_lwoffii - Acinetobacter_rhizosphaerae - 2866247 - 0.725709 - 0.3703316 - 0.6296684 - 1.0 - - - 2795 - Acinetobacter_johnsonii (interacts with) Acinetobacter_rhizosphaerae - interacts with - Acinetobacter_johnsonii (interacts with) Acinetobacter_rhizosphaerae - false - interacts with - Acinetobacter_johnsonii - 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interacts with - Acinetobacter_guillouiae (interacts with) Acinetobacter_johnsonii - false - interacts with - Acinetobacter_guillouiae - Acinetobacter_johnsonii - 2866232 - 0.7167854 - 0.3763075 - 0.6236925 - 1.0 - - - 2785 - Paracoccus_marcusii (interacts with) Acinetobacter_rhizosphaerae - interacts with - Paracoccus_marcusii (interacts with) Acinetobacter_rhizosphaerae - false - interacts with - Paracoccus_marcusii - Acinetobacter_rhizosphaerae - 2866229 - 0.7010612 - 0.3866127 - 0.6133873 - 1.0 - - - 2783 - Paracoccus_marcusii (interacts with) Acinetobacter_johnsonii - interacts with - Paracoccus_marcusii (interacts with) Acinetobacter_johnsonii - false - interacts with - Paracoccus_marcusii - Acinetobacter_johnsonii - 2866226 - 0.7022219 - 0.3858615 - 0.6141385 - 1.0 - - - 2781 - Collinsella_aerofaciens (interacts with) Eubacterium_biforme - interacts with - Collinsella_aerofaciens (interacts with) Eubacterium_biforme - false - interacts with - Collinsella_aerofaciens - Eubacterium_biforme - 2866223 - 0.720146 - 0.3740682 - 0.6259318 - 1.0 - - - 2779 - Bifidobacterium_longum (interacts with) Eubacterium_biforme - interacts with - Bifidobacterium_longum (interacts with) Eubacterium_biforme - false - interacts with - Bifidobacterium_longum - Eubacterium_biforme - 2866220 - 0.7065896 - 0.3830211 - 0.6169789 - 1.0 - - - 2777 - Bifidobacterium_longum (interacts with) Collinsella_aerofaciens - interacts with - Bifidobacterium_longum (interacts with) Collinsella_aerofaciens - false - interacts with - Bifidobacterium_longum - Collinsella_aerofaciens - 2866217 - 0.7119983 - 0.3794744 - 0.6205256 - 1.0 - - - 2775 - Bifidobacterium_adolescentis (interacts with) Eubacterium_biforme - interacts with - Bifidobacterium_adolescentis (interacts with) Eubacterium_biforme - false - interacts with - Bifidobacterium_adolescentis - Eubacterium_biforme - 2866214 - 0.7063081 - 0.3832049 - 0.6167951 - 1.0 - - - 2773 - Bifidobacterium_adolescentis (interacts with) Collinsella_aerofaciens - interacts with - Bifidobacterium_adolescentis (interacts with) Collinsella_aerofaciens - false - interacts with - Bifidobacterium_adolescentis - Collinsella_aerofaciens - 2866211 - 0.71302 - 0.3788008 - 0.6211992 - 1.0 - - - 2771 - Bifidobacterium_adolescentis (interacts with) Bifidobacterium_longum - interacts with - Bifidobacterium_adolescentis (interacts with) Bifidobacterium_longum - false - interacts with - Bifidobacterium_adolescentis - Bifidobacterium_longum - 2866208 - 0.7235742 - 0.3717699 - 0.6282301 - 1.0 - - - diff --git a/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/1_Network_visualization1/description.md b/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/1_Network_visualization1/description.md deleted file mode 100644 index 7b82dc3..0000000 --- a/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/1_Network_visualization1/description.md +++ /dev/null @@ -1 +0,0 @@ -Optional description for subsection. \ No newline at end of file diff --git a/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/2_Network_visualization2/1_man_example_edgelist.csv b/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/2_Network_visualization2/1_man_example_edgelist.csv deleted file mode 100644 index 6c0868d..0000000 --- a/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/2_Network_visualization2/1_man_example_edgelist.csv +++ /dev/null @@ -1,15 +0,0 @@ -"source","target","asso","diss","adja" -"Bifidobacterium_adolescentis","Bifidobacterium_longum",0.723574219993015,0.37176994230773,0.62823005769227 -"Bifidobacterium_adolescentis","Collinsella_aerofaciens",0.713019963513302,0.378800763256027,0.621199236743973 -"Bifidobacterium_adolescentis","Eubacterium_biforme",0.706308055301874,0.383204869944346,0.616795130055654 -"Bifidobacterium_longum","Collinsella_aerofaciens",0.711998337178362,0.379474414698565,0.620525585301435 -"Bifidobacterium_longum","Eubacterium_biforme",0.706589645031715,0.383021118848743,0.616978881151258 -"Collinsella_aerofaciens","Eubacterium_biforme",0.720146004306612,0.374068172726167,0.625931827273833 -"Paracoccus_marcusii","Acinetobacter_johnsonii",0.702221865152149,0.385861461439109,0.614138538560891 -"Paracoccus_marcusii","Acinetobacter_rhizosphaerae",0.701061217428632,0.386612714852582,0.613387285147418 -"Acinetobacter_guillouiae","Acinetobacter_johnsonii",0.716785366392458,0.37630747641227,0.62369252358773 -"Acinetobacter_guillouiae","Acinetobacter_lwoffii",0.713160334593152,0.378708110163255,0.621291889836745 -"Acinetobacter_guillouiae","Acinetobacter_rhizosphaerae",0.732387004798615,0.365795704732426,0.634204295267574 -"Acinetobacter_johnsonii","Acinetobacter_lwoffii",0.745831149154566,0.356489025669398,0.643510974330602 -"Acinetobacter_johnsonii","Acinetobacter_rhizosphaerae",0.731715412478696,0.366254411250775,0.633745588749225 -"Acinetobacter_lwoffii","Acinetobacter_rhizosphaerae",0.725709033152322,0.370331585776637,0.629668414223363 diff --git a/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/3_Network_visualization3/1_man_example.cyjs b/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/3_Network_visualization3/1_man_example.cyjs deleted file mode 100644 index fe56513..0000000 --- a/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/3_Network_visualization3/1_man_example.cyjs +++ /dev/null @@ -1,411 +0,0 @@ -{ - 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- - - - - - - \ No newline at end of file diff --git a/docs/example_data/MicW2Graph/MANs_MicW2Graph.gif b/docs/example_data/MicW2Graph/MANs_MicW2Graph.gif deleted file mode 100644 index 7ff4800..0000000 Binary files a/docs/example_data/MicW2Graph/MANs_MicW2Graph.gif and /dev/null differ diff --git a/docs/example_data/MicW2Graph/Methods_MicW2Graph.png b/docs/example_data/MicW2Graph/Methods_MicW2Graph.png deleted file mode 100644 index 5daa4b8..0000000 Binary files a/docs/example_data/MicW2Graph/Methods_MicW2Graph.png and /dev/null differ diff --git a/docs/example_data/MicW2Graph/MicW2Graph_config.yaml b/docs/example_data/MicW2Graph/MicW2Graph_config.yaml deleted file mode 100644 index 13e623e..0000000 --- a/docs/example_data/MicW2Graph/MicW2Graph_config.yaml +++ /dev/null @@ -1,133 +0,0 @@ -report: - title: Micw2Graph - description: 'Wastewater treatment (WWT) is the process of removing contaminants - from used water before it is discharged back into the environment, which contributes - to address water scarcity and to protect aquatic ecosystems. In this project, - we investigated the microbiome of WWT to build MicW2Graph, an open-source knowledge - graph (KG) that integrates metagenomic and metatranscriptomic information with - their biological context, including biological processes, environmental and phenotypic - features, chemical compounds, and additional metadata. We developed a workflow - to collect meta-omics datasets from MGnify and infer potential interactions among - microorganisms through microbial association networks (MANs). MicW2Graph enables - the investigation of research questions related to WWT, focusing on aspects such - as microbial connections, community memberships, and potential ecological functions. - - ' - graphical_abstract: '' - logo: '' -sections: -- title: Exploratory Data Analysis - description: '' - subsections: - - title: Abundance Data - description: 'Optional description for section. - - ' - components: - - component_type: plot - plot_type: plotly - title: Top Species Plot Biome - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/1_Abundance_data/1_top_species_plot_biome.json - description: '' - - component_type: plot - plot_type: altair - title: Multilineplot - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/1_Abundance_data/2_multilineplot.json - description: '' - - component_type: dataframe - file_format: csv - delimiter: ',' - title: Abundance Data Allbiomes - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/1_Abundance_data/3_abundance_data_allbiomes.csv - description: '' - - component_type: dataframe - file_format: xls - title: Abundance Data Allbiomes - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/1_Abundance_data/4_abundance_data_allbiomes.xls - description: '' - - component_type: markdown - title: Description - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/1_Abundance_data/description.md - description: '' - - title: Sample Data - description: '' - components: - - component_type: plot - plot_type: plotly - title: Pie Plot Countries Plotly - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/1_pie_plot_countries_plotly.json - description: '' - - component_type: plot - plot_type: plotly - title: Pie Plots Biomes Plotly - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/2_pie_plots_biomes_plotly.json - description: '' - - component_type: plot - plot_type: static - title: Number Samples Per Study - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/3_number_samples_per_study.png - description: '' - - component_type: dataframe - file_format: parquet - title: Sample Info Allbiomes - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/4_sample_info_allbiomes.parquet - description: '' - - component_type: dataframe - file_format: txt - delimiter: \t - title: Sample Info Allbiomes - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/5_sample_info_allbiomes.txt - description: '' - - title: Extra Info - description: '' - components: - - component_type: markdown - title: Test Md - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/3_Extra_info/1_test_md.md - description: '' - - component_type: html - title: Plot - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/1_Exploratory_Data_Analysis/3_Extra_info/plot.html - description: '' -- title: Microbial Association Networks - description: '' - subsections: - - title: Network Visualization1 - description: 'Optional description for subsection. - - ' - components: - - component_type: plot - plot_type: interactive_network - title: Man Example - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/1_Network_visualization1/1_man_example.graphml - description: '' - - component_type: markdown - title: Description - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/1_Network_visualization1/description.md - description: '' - - title: Network Visualization2 - description: '' - components: - - component_type: plot - plot_type: interactive_network - csv_network_format: edgelist - title: Man Example Edgelist - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/2_Network_visualization2/1_man_example_edgelist.csv - description: '' - - title: Network Visualization3 - description: '' - components: - - component_type: plot - plot_type: interactive_network - title: Man Example - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/3_Network_visualization3/1_man_example.cyjs - description: '' - - title: Network Visualization4 - description: '' - components: - - component_type: plot - plot_type: interactive_network - title: Ckg Network - file_path: /Users/asaru/Documents/DTU/MoNA/vuegen/docs/example_data/MicW2Graph/2_Microbial_Association_Networks/4_Network_visualization4/1_ckg_network.html - description: '' diff --git a/docs/example_data/MicW2Graph/description.md b/docs/example_data/MicW2Graph/description.md deleted file mode 100644 index 2a484a6..0000000 --- a/docs/example_data/MicW2Graph/description.md +++ /dev/null @@ -1 +0,0 @@ -Wastewater treatment (WWT) is the process of removing contaminants from used water before it is discharged back into the environment, which contributes to address water scarcity and to protect aquatic ecosystems. In this project, we investigated the microbiome of WWT to build MicW2Graph, an open-source knowledge graph (KG) that integrates metagenomic and metatranscriptomic information with their biological context, including biological processes, environmental and phenotypic features, chemical compounds, and additional metadata. We developed a workflow to collect meta-omics datasets from MGnify and infer potential interactions among microorganisms through microbial association networks (MANs). MicW2Graph enables the investigation of research questions related to WWT, focusing on aspects such as microbial connections, community memberships, and potential ecological functions. \ No newline at end of file diff --git a/docs/example_data/MicW2Graph/report_config_micw2graph.yaml b/docs/example_data/MicW2Graph/report_config_micw2graph.yaml deleted file mode 100644 index 84ccf19..0000000 --- a/docs/example_data/MicW2Graph/report_config_micw2graph.yaml +++ /dev/null @@ -1,108 +0,0 @@ -report: - title: MicW2Graph - description: > - Wastewater treatment (WWT) is the process of removing contaminants from used water before it is discharged back - into the environment, which contributes to address water scarcity and to protect aquatic ecosystems. In this project, - we investigated the microbiome of WWT to build MicW2Graph, an open-source knowledge graph (KG) that integrates metagenomic and - metatranscriptomic information with their biological context, including biological processes, environmental and phenotypic - features, chemical compounds, and additional metadata. We developed a workflow to collect meta-omics datasets from MGnify and - infer potential interactions among microorganisms through microbial association networks (MANs). MicW2Graph enables the - investigation of research questions related to WWT, focusing on aspects such as microbial connections, community memberships, - and potential ecological functions. - graphical_abstract: example_data/MicW2Graph/Methods_MicW2Graph.png - logo: docs/images/vuegen_logo.png -sections: - - title: Exploratory Data Analysis - subsections: - - title: Abundance data - description: Optional description - components: - - title: Top 5 species by biome (plotly) - component_type: plot - plot_type: plotly - file_path: https://raw.githubusercontent.com/sayalaruano/report_generator_st_cloud_test/main/example_data/MicW2Graph/top_species_plot_biome.json - caption: Optional caption - - title: Multiline plot (altair) - component_type: plot - plot_type: altair - file_path: example_data/MicW2Graph/1_Exploratory_Data_Analysis/1_Abundance_data/2_multilineplot_altair.json - - title: Abundance data for all studies (csv) - component_type: dataframe - file_path: https://raw.githubusercontent.com/sayalaruano/report_generator_st_cloud_test/main/example_data/MicW2Graph/abundance_data_allbiomes.csv - file_format: csv - delimiter: ',' - - title: Abundance data for all studies (xls) - component_type: dataframe - file_path: example_data/MicW2Graph/1_Exploratory_Data_Analysis/1_Abundance_data/4_abundance_data_allbiomes.xls - file_format: xls - delimiter: ',' - - title: Sample data - components: - - title: Number of samples per study (png) - component_type: plot - plot_type: static - file_path: example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/3_number_samples_per_study.png - - title: Sampling countries for all studies (plotly) - component_type: plot - plot_type: plotly - file_path: example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/1_pie_plot_countries_plotly.json - - title: Sample data for all studies (parquet) - component_type: dataframe - file_path: example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/4_sample_info_allbiomes.parquet - file_format: parquet - - title: Sample data for all studies (txt) - component_type: dataframe - file_path: example_data/MicW2Graph/1_Exploratory_Data_Analysis/2_Sample_data/5_sample_info_allbiomes.txt - file_format: txt - - title: Extra information - components: - - title: Markdown example - component_type: markdown - file_path: https://raw.githubusercontent.com/sayalaruano/report_generator_st_cloud_test/main/example_data/test_md.md - - title: Microbial Association Networks - subsections: - - title: Network Visualization1 - components: - - title: Network1 (graphml) - component_type: plot - plot_type: interactive_network - file_path: example_data/MicW2Graph/2_Microbial_Association_Networks/1_Network_visualization1/1_man_example.graphml - - title: Network Visualization2 - components: - - title: Network2 (edge list csv) - component_type: plot - plot_type: interactive_network - csv_network_format: edgelist - file_path: example_data/MicW2Graph/2_Microbial_Association_Networks/2_Network_visualization2/1_man_example_edgelist.csv - - title: Edge list (csv) - component_type: dataframe - file_path: example_data/MicW2Graph/2_Microbial_Association_Networks/2_Network_visualization2/1_man_example_edgelist.csv - file_format: csv - delimiter: ',' - caption: This is the edge list of the network - - title: Network Visualization3 - components: - - title: Network3 (cyjs) - component_type: plot - plot_type: interactive_network - file_path: example_data/MicW2Graph/2_Microbial_Association_Networks/3_Network_visualization3/1_man_example.cyjs - - title: Network Visualization4 - components: - - title: Network4 (html) - component_type: plot - plot_type: interactive_network - file_path: example_data/MicW2Graph/2_Microbial_Association_Networks/4_Network_visualization4/1_ckg_network.html - - title: Network Visualization5 - components: - - title: Network5 (remote html) - component_type: plot - plot_type: interactive_network - file_path: https://rawcdn.githack.com/sayalaruano/report_generator_st_cloud_test/62a9ceec2281c54b55e99017f2bddc954e7db311/example_data/network1.html - - title: ChatBot test - subsections: - - title: Simple test - components: - - title: ChatBot test - component_type: chatbot - api_url: http://localhost:11434/api/chat - model: llama3.2 diff --git a/docs/vuegen_case_study_earth_microbiome.ipynb b/docs/vuegen_case_study_earth_microbiome.ipynb new file mode 100644 index 0000000..f62ca51 --- /dev/null +++ b/docs/vuegen_case_study_earth_microbiome.ipynb @@ -0,0 +1,1585 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Vuegen Case Study - Earth Microbiome Project\n", + "\n", + "\"Open\n", + "\n", + "This notebook is a demo of the Vuegen Python library. This sofwtare automates the creation of reports based on a directory with plots, dataframes, and other files in different formats. A YAML configuration file is generated from the directory to define the structure of the report. Users can customize the report by modifying the configuration file, or they can create their own configuration file instead of passing a directory as input. \n", + "\n", + "The configuration file specifies the structure of the report, including sections, subsections, and various components such as plots, dataframes, markdown, html, and API calls. Reports can be generated in various formats, including documents (PDF, HTML, DOCX, ODT), presentations (PPTX, Reveal.js), notebooks (Jupyter) or Streamlit web applications.\n", + "\n", + "An overview of the VueGen workflow is shown in the figure below:\n", + "\n", + "![Vuegen graphical abstarct](./images/vuegen_graph_abstract.png)\n", + "\n", + "## About the data\n", + "\n", + "The Earth Microbiome Project (EMP) is a systematic attempt to characterize global microbial taxonomic and functional diversity for the benefit of the planet and humankind. It aimed to sample the Earth’s microbial communities at an unprecedented scale in order to advance our understanding of the organizing biogeographic principles that govern microbial community structure. The EMP dataset is generated from samples that individual researchers have compiled and contributed to the EMP. The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth’s microbial diversity.\n", + "\n", + "The data and scripts for this project are available on the [EMP GitHub repository][emp_repo], and addtional details can be found in the original article by [Thompson et al. (2017)][emp_paper].\n", + "\n", + "## Notebook structure\n", + "\n", + "First, we will set up the work environment by installing the necessary packages and importing the required libraries. Then, we will create various plots and tables on the exploratory data analysis, metagenomics, and network analysis sections. Next, we will create a report using Vuegen, including the plots and tables generated in the previous sections. Finally, we will extend the report by modifying the configuration file to include additional components.\n", + "\n", + "0. [Work environment setup](#0-work-environment-setup)\n", + "1. [Exploratory data analysis](#1-exploratory-data-analysis)\n", + "2. [Metagenomics](#2-metagenomics)\n", + "3. [Network analysis](#3-network-analysis)\n", + "4. [Report generation](#4-report-generation)\n", + "5. [Extending the report](#5-extending-the-report)\n", + "\n", + "## Credits and Contributors\n", + "- This notebook was created by Sebastián Ayala-Ruano under the supervision of Henry Webel and Alberto Santos, head of the [Multiomics Network Analytics Group (MoNA)][Mona] at the [Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain)][Biosustain].\n", + "- Part of this notebook's code was inspired by the scripts and notebooks from the [EMP GitHub repository][emp_repo].\n", + "- You can find more details about the project in this [GitHub repository][githubrepo].\n", + "\n", + "[emp_repo]: https://github.com/biocore/emp/tree/master\n", + "[emp_paper]: https://www.nature.com/articles/nature24621\n", + "[Mona]: https://multiomics-analytics-group.github.io/\n", + "[Biosustain]: https://www.biosustain.dtu.dk/\n", + "[githubrepo]: https://github.com/Multiomics-Analytics-Group/vuegen\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 0. Work environment setup" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 0.1. Installing libraries" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Install required libraries\n", + "%pip install vuegen cartopy seaborn biom-format" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 0.2. Importing libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "import os\n", + "import yaml\n", + "import requests\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cfeature\n", + "import plotly.graph_objects as go\n", + "import plotly.express as px\n", + "import altair as alt\n", + "import seaborn as sns\n", + "\n", + "import biom\n", + "import networkx as nx\n", + "\n", + "from vuegen import report_generator\n", + "from vuegen.utils import get_logger, load_yaml_config" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 0.3. Working directory" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# Create the output directory\n", + "base_output_dir = \"./example_data/Earth_microbiome_vuegen_demo_notebook/\"\n", + "os.makedirs(base_output_dir, exist_ok=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 0.4. Markdown project description\n", + "Create a markdown file with the project description to be displayed in the main page of the report. It is also possible to do this for the sections and subsections of the report by creating a `description.md` file in the corresponding directory." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "# Create project description\n", + "project_description = \"\"\"\n", + "The Earth Microbiome Project (EMP) is a systematic attempt to characterize global microbial taxonomic and functional diversity for the benefit of the planet and humankind. \n", + "It aimed to sample the Earth’s microbial communities at an unprecedented scale in order to advance our understanding of the organizing biogeographic principles that govern microbial community structure. \n", + "The EMP dataset is generated from samples that individual researchers have compiled and contributed to the EMP. \n", + "The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth’s microbial diversity.\n", + "\n", + "You can find more information about the Earth Microbiome Project at https://earthmicrobiome.org/ and in the [original article](https://www.nature.com/articles/nature24621).\n", + "\"\"\"\n", + "\n", + "# Write the description to a file\n", + "with open(os.path.join(base_output_dir, \"description.md\"), \"w\") as file:\n", + " file.write(project_description)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 0.5. Helper functions" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "def get_empo_cat_color(empocat=None, returndict=False):\n", + " \"\"\"returns standard empo colors for EMP figures\n", + " input:\n", + " empocat- empo category name (string)\n", + " returndict- the user needs the dictionary mapping category to color (boolean)\n", + " \n", + " output: either a color for passed empocat or the dictionay if returndict=True\"\"\"\n", + " \n", + " # hex codes for matplotlib colors are described here:\n", + " # https://github.com/matplotlib/matplotlib/blob/cf83cd5642506ef808853648b9eb409f8dbd6ff3/lib/matplotlib/_color_data.py\n", + "\n", + " empo_cat_color={'EMP sample': '#929591', # 'grey'\n", + " 'Host-associated': '#fb9a99',\n", + " 'Free-living': '#e31a1c',\n", + " 'Animal': '#b2df8a',\n", + " 'Plant': '#33a02c',\n", + " 'Non-saline': '#a6cee3',\n", + " 'Saline': '#1f78b4',\n", + " 'Aerosol (non-saline)': '#d3d3d3', # 'lightgrey'\n", + " 'Animal corpus': '#ffff00', # 'yellow'\n", + " 'Animal distal gut': '#8b4513', # 'saddlebrown'\n", + " 'Animal proximal gut': '#d2b48c', # 'tan'\n", + " 'Animal secretion': '#f4a460', # 'sandybrown'\n", + " 'Animal surface': '#b8860b', # 'darkgoldenrod'\n", + " 'Hypersaline (saline)': '#87cefa', # 'lightskyblue'\n", + " 'Intertidal (saline)': '#afeeee', # 'paleturquoise'\n", + " 'Mock community': '#ff00ff', # 'fuchsia'\n", + " 'Plant corpus': '#7cfc00', # 'lawngreen'\n", + " 'Plant rhizosphere': '#006400', # 'darkgreen'\n", + " 'Plant surface': '#00fa9a', # 'mediumspringgreen'\n", + " 'Sediment (non-saline)': '#ffa07a', # 'lightsalmon'\n", + " 'Sediment (saline)': '#ff6347', # 'tomato'\n", + " 'Soil (non-saline)': '#ff0000', # 'red'\n", + " 'Sterile water blank': '#ee82ee', # 'violet'\n", + " 'Surface (non-saline)': '#000000', # 'black'\n", + " 'Surface (saline)': '#696969', # 'dimgrey'\n", + " 'Water (non-saline)': '#000080', # 'navy'\n", + " 'Water (saline)': '#4169e1' # 'royalblue'\n", + " }\n", + " \n", + " if returndict==True:\n", + " return empo_cat_color\n", + " else:\n", + " return empo_cat_color[empocat]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Exploratory data analysis" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1.1. Global scope of sample provenance\n", + "Samples come from 7 continents, 43 countries, 21 biomes (ENVO), 92 environmental features (ENVO), and 17 environments (EMPO)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.1.1. Load data and create section and subsection directories" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "# Create the output directory for the EDA section and sample provenance subsection\n", + "sample_prov_output_dir = os.path.join(base_output_dir, \"1_Exploratory_data_analysis/1_sample_exploration/\")\n", + "os.makedirs(sample_prov_output_dir, exist_ok=True)\n", + "\n", + "# Load data and filter out control samples\n", + "metadata_mapping = 'https://raw.githubusercontent.com//biocore/emp/master/data/mapping-files/emp_qiime_mapping_release1.tsv'\n", + "metadata_mapping_df = pd.read_table(metadata_mapping, index_col=0)\n", + "metadata_mapping_df = metadata_mapping_df[metadata_mapping_df['empo_1'] != 'Control']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.1.2. Random subset of the metadata dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "# Obtain a random sample of the metadata df with a random seed\n", + "sample_metadata_mapping_df = metadata_mapping_df.sample(100, random_state=42)\n", + "\n", + "# Export the sample df as a CSV file\n", + "sample_metadata_mapping_df.to_csv(f'{sample_prov_output_dir}/1_metadata_random_subset.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.1.3. Static map with matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Extract Animal dataset\n", + "animal_df = metadata_mapping_df[metadata_mapping_df[\"empo_2\"] == \"Animal\"]\n", + "\n", + "# Unique subcategories in empo_3\n", + "animal_empo3 = animal_df[\"empo_3\"].unique()\n", + "\n", + "# Create a figure with Cartopy map projection\n", + "fig, ax = plt.subplots(figsize=(12, 8), dpi=300, subplot_kw={'projection': ccrs.PlateCarree()})\n", + "\n", + "# Add features to the map\n", + "ax.add_feature(cfeature.BORDERS, edgecolor='white', linewidth=0.5)\n", + "ax.add_feature(cfeature.LAND, edgecolor='white', facecolor='lightgray', linewidth=0.5)\n", + "ax.add_feature(cfeature.COASTLINE, edgecolor='white', linewidth=0.5)\n", + "\n", + "# Set extent (global map)\n", + "ax.set_extent([-180, 180, -90, 90])\n", + "\n", + "# Plot each subcategory with a unique color (unfilled circles with borders)\n", + "for empo3 in animal_empo3:\n", + " subset = animal_df[animal_df[\"empo_3\"] == empo3]\n", + " color = get_empo_cat_color(empo3) # Get color for category\n", + " ax.scatter(subset[\"longitude_deg\"], subset[\"latitude_deg\"], \n", + " color='none', edgecolors=color, linewidth=1.5, label=empo3, s=40, \n", + " transform=ccrs.PlateCarree(), zorder=2)\n", + "\n", + "# Add legend with updated labels\n", + "handles, labels = ax.get_legend_handles_labels()\n", + "ax.legend(handles, labels, loc='lower center', ncol=2, fontsize=10)\n", + "\n", + "# Save the figure\n", + "animal_map_out_path = os.path.join(sample_prov_output_dir, \"2_animal_samples_map.png\")\n", + "plt.savefig(animal_map_out_path, dpi=300, bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.1.4. Interactive map with plotly" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Extract Plant dataset\n", + "plant_df = metadata_mapping_df[metadata_mapping_df['empo_2'] == 'Plant']\n", + "\n", + "# Unique subcategories in empo_3\n", + "plant_empo3 = plant_df[\"empo_3\"].unique()\n", + "\n", + "# Create a base map figure\n", + "fig = go.Figure()\n", + "\n", + "# Plot each subcategory with unique color (unfilled circles with borders)\n", + "for empo3 in plant_empo3:\n", + " subset = plant_df[plant_df[\"empo_3\"] == empo3]\n", + " color = get_empo_cat_color(empo3) # Get color for category\n", + "\n", + " fig.add_trace(go.Scattergeo(\n", + " lon=subset[\"longitude_deg\"],\n", + " lat=subset[\"latitude_deg\"],\n", + " mode=\"markers\",\n", + " marker=dict(\n", + " symbol=\"circle-open\", # Unfilled circle\n", + " color=color,\n", + " size=6, # Marker size\n", + " line=dict(width=1.5, color=color) # Border color matches category color\n", + " ),\n", + " name=empo3\n", + " ))\n", + "\n", + "# Update map layout (fixes horizontal blank space)\n", + "fig.update_layout(\n", + " geo=dict(\n", + " landcolor=\"rgb(217, 217, 217)\", # Light gray land color\n", + " showcountries=True, # Enable country borders\n", + " countrycolor=\"white\", # Set country borders to white\n", + " countrywidth=0.5, # Border thickness\n", + " coastlinecolor=\"white\",\n", + " fitbounds=\"locations\", # Focuses only on data points\n", + " lataxis=dict(range=[-60, 85], showgrid=False), # Custom latitude range\n", + " lonaxis=dict(range=[-180, 180], showgrid=False) # Custom longitude range\n", + " ),\n", + " autosize=False,\n", + " width=800, # Adjust width to remove blank space\n", + " height=600, # Keep a balanced height\n", + " margin=dict(l=10, r=10, t=10, b=10), # Reduce margins to keep map centered\n", + " legend=dict(\n", + " title=\"\",\n", + " font=dict(size=16), # Legend font size\n", + " x=0.5, # Center legend horizontally\n", + " xanchor=\"center\",\n", + " yanchor=\"top\",\n", + " orientation=\"h\" # Horizontal legend layout\n", + " )\n", + ")\n", + "\n", + "# Save the figure as SVG and JSON\n", + "# plant_map_out_path = os.path.join(sample_prov_output_dir, \"2_plant_samples_map.svg\")\n", + "# fig.write_image(plant_map_out_path, scale=2)\n", + "\n", + "plant_map_json_path = os.path.join(sample_prov_output_dir, \"3_plant_samples_map.json\")\n", + "fig.write_json(plant_map_json_path)\n", + "\n", + "# Show the figure\n", + "fig.show(renderer=\"svg\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.1.5. Interactive map with Altair" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Extract Saline dataset\n", + "saline_df = metadata_mapping_df[metadata_mapping_df[\"empo_2\"] == \"Saline\"].copy()\n", + "\n", + "# Create a dictionary for simplified category names for the legend\n", + "simplified_category_names = {\n", + " 'Water (saline)': 'Water',\n", + " 'Sediment (saline)': 'Sediment',\n", + " 'Surface (saline)': 'Surface',\n", + " 'Hypersaline (saline)': 'Hypersaline'\n", + "}\n", + "\n", + "# Simplify the empo_3 names in the DataFrame for legend\n", + "saline_df['simplified_empo_3'] = saline_df['empo_3'].apply(lambda x: simplified_category_names.get(x, x))\n", + "\n", + "# Apply the get_empo_cat_color function to generate the color column\n", + "saline_df['color'] = saline_df['empo_3'].apply(get_empo_cat_color)\n", + "\n", + "# Create the base world map (use the CDN URL or a different base map if you prefer)\n", + "countries = alt.topo_feature('https://cdn.jsdelivr.net/npm/world-atlas@2/countries-110m.json', 'countries')\n", + "\n", + "# Create a background map of countries\n", + "background_map = alt.Chart(countries).mark_geoshape(\n", + " fill='lightgray',\n", + " stroke='white'\n", + ").project('equirectangular').properties(\n", + " width=800,\n", + " height=400\n", + ")\n", + "\n", + "# Create the points for saline samples with custom colors\n", + "saline_points = alt.Chart(saline_df).mark_point(size=50, shape='circle', filled=False,).encode(\n", + " longitude='longitude_deg:Q',\n", + " latitude='latitude_deg:Q',\n", + " color=alt.Color('simplified_empo_3:N', \n", + " scale=alt.Scale(domain=list(saline_df['simplified_empo_3'].unique()), \n", + " range=[get_empo_cat_color(cat) for cat in saline_df['empo_3'].unique()]),\n", + " legend=alt.Legend(\n", + " title='',\n", + " orient='bottom', \n", + " symbolSize=120,\n", + " labelFontSize=16 \n", + " )),\n", + " tooltip=['latitude_deg', 'longitude_deg', 'empo_3']\n", + ")\n", + "\n", + "# Overlay the points on the world map\n", + "map_with_points = background_map + saline_points\n", + "\n", + "# Save as JSON and \n", + "saline_json_path = os.path.join(sample_prov_output_dir, \"4_saline_samples_map.json\")\n", + "with open(saline_json_path, \"w\") as f:\n", + " f.write(map_with_points.to_json())\n", + "\n", + "# saline_png_path = os.path.join(sample_prov_output_dir, \"5_saline_samples_map.png\")\n", + "# map_with_points.save(saline_png_path)\n", + "\n", + "# Display the map\n", + "map_with_points" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Metagenomics" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.1. Alpha diversity\n", + "The alpha diversity was measured as number of observed 90bp tag sequences (richness), in n = 23,828 biologically independent samples as a function of environment. Tag sequence counts were subsampled to 5,000 observations." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.1.1. Load data and create section and subsection directories" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# Create the output directory for the metagenomics section and alpha diversity subsection\n", + "alpha_div_output_dir = os.path.join(base_output_dir, \"2_Metagenomics/1_alpha_diversity\")\n", + "os.makedirs(alpha_div_output_dir, exist_ok=True)\n", + "\n", + "# Load data \n", + "mapping_qc_filt = 'https://raw.githubusercontent.com//biocore/emp/master/data/mapping-files/emp_qiime_mapping_qc_filtered.tsv'\n", + "mapping_qc_filt_df = pd.read_csv(mapping_qc_filt, sep='\\t', index_col=0, header=0).sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# Define colors of host associated and free living categories \n", + "colorsHA = {\n", + " 'Animal corpus': get_empo_cat_color('Animal corpus'),\n", + " 'Plant corpus': get_empo_cat_color('Plant corpus'),\n", + " 'Animal secretion': get_empo_cat_color('Animal secretion'),\n", + " 'Plant surface': get_empo_cat_color('Plant surface'),\n", + " 'Animal proximal gut': get_empo_cat_color('Animal proximal gut'),\n", + " 'Animal surface': get_empo_cat_color('Animal surface'),\n", + " 'Animal distal gut': get_empo_cat_color('Animal distal gut'),\n", + " 'Plant rhizosphere': get_empo_cat_color('Plant rhizosphere'),\n", + "}\n", + "\n", + "colorsFL = {\n", + " 'Water (saline)': get_empo_cat_color('Water (saline)'), \n", + " 'Aerosol (non-saline)': get_empo_cat_color('Aerosol (non-saline)'), \n", + " 'Hypersaline (saline)': get_empo_cat_color('Hypersaline (saline)'),\n", + " 'Surface (non-saline)': get_empo_cat_color('Surface (non-saline)'), \n", + " 'Surface (saline)': get_empo_cat_color('Surface (saline)'), \n", + " 'Water (non-saline)': get_empo_cat_color('Water (non-saline)'), \n", + " 'Sediment (saline)': get_empo_cat_color('Sediment (saline)'), \n", + " 'Soil (non-saline)': get_empo_cat_color('Soil (non-saline)'), \n", + " 'Sediment (non-saline)': get_empo_cat_color('Sediment (non-saline)')\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.1.2. Static box plot with matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Ensure y variable is numeric to avoid aggregation errors\n", + "mapping_qc_filt_df['adiv_observed_otus'] = pd.to_numeric(mapping_qc_filt_df['adiv_observed_otus'], errors='coerce')\n", + "\n", + "# Get valid categories (only ones in colorsHA)\n", + "valid_categories_HA = set(colorsHA.keys())\n", + "\n", + "# Filter dataset to include only valid categories\n", + "filtered_data_HA = mapping_qc_filt_df[\n", + " (mapping_qc_filt_df['empo_0'] == 'EMP sample') &\n", + " (mapping_qc_filt_df['empo_3'].isin(valid_categories_HA)) \n", + "]\n", + "\n", + "# Compute sorted order (only for valid categories)\n", + "sorted_order = (\n", + " filtered_data_HA.groupby(['empo_3'])['adiv_observed_otus']\n", + " .mean()\n", + " .dropna()\n", + " .sort_values()\n", + " .index.tolist()\n", + ")\n", + "\n", + "# Create palette dictionary using only valid categories\n", + "palette_dict = {cat: colorsHA[cat] for cat in sorted_order}\n", + "\n", + "# Create figure for Matplotlib\n", + "fig = plt.figure(figsize=(16, 8))\n", + "\n", + "# Plot the boxplot and jitter plot\n", + "sns.boxplot(fliersize=0, x='empo_3', y='adiv_observed_otus', hue='empo_3', linewidth=1, data=filtered_data_HA, \n", + " order=sorted_order, palette=palette_dict)\n", + "sns.stripplot(jitter=True, x='empo_3', y='adiv_observed_otus', data=filtered_data_HA, order=sorted_order, \n", + " color='black', size=1)\n", + "\n", + "# Customize the plot\n", + "plt.xticks(rotation=45, ha='right', fontsize=16)\n", + "plt.yticks(fontsize=16)\n", + "plt.xlabel('')\n", + "plt.ylim(0, 3000)\n", + "plt.ylabel('Observed tag sequences', fontsize=16)\n", + "\n", + "# Add median line\n", + "median = filtered_data_HA['adiv_observed_otus'].median()\n", + "plt.axhline(y=median, xmin=0, xmax=1, color='y')\n", + "\n", + "# Adjust layout and save the figure\n", + "plt.tight_layout()\n", + "fig.patch.set_alpha(0.0)\n", + "\n", + "# Ensure directory exists before saving\n", + "os.makedirs(alpha_div_output_dir, exist_ok=True)\n", + "\n", + "# Save figure\n", + "alpha_div_box_plot_host_ass = os.path.join(alpha_div_output_dir, \"1_alpha_diversity_host_associated_samples.png\")\n", + "plt.savefig(alpha_div_box_plot_host_ass, dpi=300, bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.1.3. Interactive box plot with plotly" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Ensure y variable is numeric to avoid aggregation errors\n", + "mapping_qc_filt_df['adiv_observed_otus'] = pd.to_numeric(mapping_qc_filt_df['adiv_observed_otus'], errors='coerce')\n", + "\n", + "# Get valid free-living categories (only ones in colorsFL)\n", + "valid_categories_FL = list(colorsFL.keys())\n", + "\n", + "# Filter dataset to include only valid free-living categories\n", + "filtered_data_FL = mapping_qc_filt_df[\n", + " (mapping_qc_filt_df['empo_0'] == 'EMP sample') &\n", + " (mapping_qc_filt_df['empo_3'].isin(valid_categories_FL)) \n", + "]\n", + "\n", + "# Compute sorted order (only for valid categories)\n", + "sorted_order_FL = (\n", + " filtered_data_FL.groupby(['empo_3'])['adiv_observed_otus']\n", + " .mean()\n", + " .dropna()\n", + " .sort_values()\n", + " .index.tolist()\n", + ")\n", + "\n", + "# Create the Plotly figure using boxplot and stripplot (jittered points)\n", + "fig = px.box(\n", + " filtered_data_FL,\n", + " x='empo_3',\n", + " y='adiv_observed_otus',\n", + " color='empo_3',\n", + " category_orders={'empo_3': sorted_order_FL},\n", + " color_discrete_map=colorsFL,\n", + " labels={'adiv_observed_otus': 'Observed tag sequences'},\n", + " points=False\n", + ")\n", + "\n", + "# Add jittered points (strip plot)\n", + "fig.add_trace(\n", + " px.strip(\n", + " filtered_data_FL,\n", + " x='empo_3',\n", + " y='adiv_observed_otus',\n", + " stripmode='overlay'\n", + " ).data[0]\n", + ")\n", + "\n", + "# Modify the dot color and size directly inside the add_trace()\n", + "fig.data[-1].update(\n", + " marker=dict(\n", + " color='black', \n", + " size=1, \n", + " opacity=0.7 \n", + " )\n", + ")\n", + "\n", + "# Add median line\n", + "median = filtered_data_FL['adiv_observed_otus'].median()\n", + "fig.add_hline(y=median, line=dict(color='yellow'))\n", + "\n", + "# Customize the plot\n", + "fig.update_layout(\n", + " xaxis_title='',\n", + " yaxis_title='Observed tag sequences',\n", + " xaxis_tickangle=-45,\n", + " plot_bgcolor='rgba(0,0,0,0)',\n", + " showlegend=False,\n", + " height=600,\n", + " font=dict(size=14),\n", + ")\n", + "\n", + "# Save figure as JSON\n", + "alpha_div_box_plot_free_living_json = os.path.join(alpha_div_output_dir, \"2_alpha_diversity_free_living_samples.json\")\n", + "fig.write_json(alpha_div_box_plot_free_living_json)\n", + "\n", + "# Save figure as PNG\n", + "# alpha_div_box_plot_free_living_png = os.path.join(alpha_div_output_dir, \"3_alpha_div_box_plot_free_living.png\")\n", + "# fig.write_image(alpha_div_box_plot_free_living_png, width=800, height=600, scale=2)\n", + "\n", + "# Show the plot\n", + "fig.show(renderer=\"png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.2. Gene average copy number 16S rRNA\n", + "\n", + "The average copy number of the 16S rRNA gene was measured in n = 23,828 biologically independent samples as a function of environment." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.2.1. Load data and create section and subsection directories" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# Create the output directory for the metagenomics section and average copy number subsection\n", + "avg_copy_numb_dir = os.path.join(base_output_dir, \"2_Metagenomics/2_average_copy_number\")\n", + "os.makedirs(avg_copy_numb_dir, exist_ok=True)\n", + "\n", + "# Load data \n", + "emp_gg_otus_sampsum = \"https://raw.githubusercontent.com//biocore/emp/master/data/predicted-rrna-copy-number/emp_cr_gg_13_8.qc_filtered_filt_summary_samplesum.txt\"\n", + "emp_gg_otus_sampsum_df = pd.read_csv(emp_gg_otus_sampsum, sep='\\t', index_col=0, header=None).sort_index()\n", + "emp_gg_otus_norm_sampsum = \"https://raw.githubusercontent.com//biocore/emp/master/data/predicted-rrna-copy-number/emp_cr_gg_13_8.normalized_qcfilt_summary_samplesum.txt\"\n", + "emp_gg_otus_norm_sampsum_df = pd.read_csv(emp_gg_otus_norm_sampsum, sep='\\t', index_col=0, header=None).sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "# Create a new df by copying mapping_qc_filt_df\n", + "mapping_qc_filt_merged_df = mapping_qc_filt_df.copy()\n", + "\n", + "# Merge new mapping df with emp_gg_otus_sampsum and emp_gg_otus_norm_sampsum\n", + "mapping_qc_filt_merged_df['sampsum'] = emp_gg_otus_sampsum_df[1]\n", + "mapping_qc_filt_merged_df['normsampsum'] = emp_gg_otus_norm_sampsum_df[1]\n", + "mapping_qc_filt_merged_df['copynumberdepletion'] = np.divide(emp_gg_otus_norm_sampsum_df[1], emp_gg_otus_sampsum_df[1])\n", + "mapping_qc_filt_merged_df['averagecopy'] = np.divide(1,np.divide(emp_gg_otus_norm_sampsum_df[1],emp_gg_otus_sampsum_df[1]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.2.2. Static plot with matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure(figsize=(10, 6))\n", + "\n", + "for i in ['Animal', 'Non-saline', 'Plant', 'Saline']:\n", + " plt.hist(mapping_qc_filt_merged_df[mapping_qc_filt_merged_df.empo_2 == i]['averagecopy'].dropna(), label=i,\n", + " bins=200, linewidth=0, color=get_empo_cat_color(i), alpha=0.8)\n", + "\n", + "# Customize axes: remove top and right borders\n", + "plt.gca().spines['top'].set_visible(False)\n", + "plt.gca().spines['right'].set_visible(False)\n", + "\n", + "# Titles and labels\n", + "plt.legend(loc=1, prop={'size':9}, frameon=False)\n", + "plt.xlabel('Predicted average community 16S copy number', fontsize=12)\n", + "plt.ylabel('Number of samples', fontsize=12)\n", + "plt.xticks(fontsize=10)\n", + "plt.yticks(fontsize=10)\n", + "plt.xlim([0,8])\n", + "plt.tight_layout()\n", + "\n", + "# Save the figure\n", + "avg_copy_numb_empo2 = os.path.join(avg_copy_numb_dir, \"1_average_copy_number_emp_ontology_level2.png\")\n", + "plt.savefig(avg_copy_numb_empo2, dpi=300, bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.2.3. Interactive plot with plotly" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Create a list to store histogram traces\n", + "hist_traces = []\n", + "\n", + "# Loop through unique categories in 'empo_3'\n", + "for i in mapping_qc_filt_merged_df.empo_3.dropna().unique():\n", + " hist_traces.append(\n", + " go.Histogram(\n", + " x=mapping_qc_filt_merged_df[mapping_qc_filt_merged_df.empo_3 == i]['averagecopy'].dropna(),\n", + " name=i, # Legend name\n", + " marker=dict(color=get_empo_cat_color(i)), # Assign color\n", + " opacity=0.5,\n", + " nbinsx=200 # Number of bins\n", + " )\n", + " )\n", + "\n", + "# Create the figure\n", + "fig = go.Figure(hist_traces)\n", + "\n", + "# Update layout to remove top and right borders\n", + "fig.update_layout(\n", + " xaxis_title=\"Predicted average community 16S copy number\",\n", + " yaxis_title=\"Number of samples\",\n", + " xaxis=dict(\n", + " range=[0, 8], \n", + " tickfont=dict(size=10),\n", + " showline=True, \n", + " linewidth=1, \n", + " linecolor=\"black\",\n", + " mirror=False, \n", + " showgrid=False, \n", + " zeroline=False \n", + " ),\n", + " yaxis=dict(\n", + " tickfont=dict(size=10),\n", + " showline=True, \n", + " linewidth=1, \n", + " linecolor=\"black\",\n", + " mirror=False, \n", + " showgrid=False, \n", + " zeroline=False \n", + " ),\n", + " barmode=\"overlay\", \n", + " showlegend=True,\n", + " legend=dict(font=dict(size=11), borderwidth=0), \n", + " plot_bgcolor=\"white\" \n", + ")\n", + "# Save the figure as JSON\n", + "avg_copy_numb_empo3_json = os.path.join(avg_copy_numb_dir, \"2_average_copy_number_emp_ontology_level3.json\")\n", + "fig.write_json(avg_copy_numb_empo3_json)\n", + "\n", + "# Save the figure as PNG\n", + "# avg_copy_numb_empo3_png = os.path.join(avg_copy_numb_dir, \"3_avg_copy_numb_empo3.png\")\n", + "# fig.write_image(avg_copy_numb_empo3_png, scale=2)\n", + "\n", + "# Show the figure\n", + "fig.show(renderer=\"png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.3. Nestedness\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.3.1. Load the data and create section and subsection directories" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "# Create the output directory for the metagenomics section and nestedness subsection\n", + "nestedness_dir = os.path.join(base_output_dir, \"2_Metagenomics/3_nestedness\")\n", + "os.makedirs(nestedness_dir, exist_ok=True)\n", + "\n", + "# Load data\n", + "nest_phylum_allsamples = \"https://raw.githubusercontent.com//biocore/emp/master/data/nestedness/nest_phylum_allsamples.csv\"\n", + "nest_phylum_allsamples_df = pd.read_csv(nest_phylum_allsamples)\n", + "nest_phylum_animalsamples = \"https://raw.githubusercontent.com//biocore/emp/master/data/nestedness/nest_phylum_Animal.csv\"\n", + "nest_phylum_animalsamples_df = pd.read_csv(nest_phylum_animalsamples)\n", + "nest_phylum_plantsamples = \"https://raw.githubusercontent.com//biocore/emp/master/data/nestedness/nest_phylum_Plant.csv\"\n", + "nest_phylum_plantsamples_df = pd.read_csv(nest_phylum_plantsamples)\n", + "nest_phylum_nonsalinesamples = \"https://raw.githubusercontent.com//biocore/emp/master/data/nestedness/nest_phylum_Non-saline.csv\"\n", + "nest_phylum_nonsalinesamples_df = pd.read_csv(nest_phylum_nonsalinesamples)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.3.2. Random subset of the nestedness dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "# Obtain a randome sample of the nestedness df for all samples\n", + "sample_nest_phylum_allsamples_df = nest_phylum_allsamples_df.sample(100, random_state=42)\n", + "\n", + "# Export the sample df as a CSV file\n", + "sample_nest_phylum_allsamples_df.to_csv(f'{nestedness_dir}/1_nestedness_random_subset.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.3.3. Interactive plots with plotly" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Determine axis limits\n", + "xmax = nest_phylum_allsamples_df.SAMPLE_RANK.max()\n", + "ymax = nest_phylum_allsamples_df.OBSERVATION_RANK.max()\n", + "\n", + "# Get colors for each empo_3 category\n", + "nest_phylum_allsamples_df['color'] = nest_phylum_allsamples_df['empo_3'].apply(get_empo_cat_color)\n", + "\n", + "# Create the scatter plot\n", + "fig = px.scatter(\n", + " nest_phylum_allsamples_df,\n", + " x=\"SAMPLE_RANK\",\n", + " y=\"OBSERVATION_RANK\",\n", + " color=\"empo_3\",\n", + " color_discrete_map={empo: get_empo_cat_color(empo) for empo in nest_phylum_allsamples_df['empo_3'].unique()},\n", + " labels={\"SAMPLE_RANK\": \"All samples (sorted by richness)\", \"OBSERVATION_RANK\": \"Phyla (sorted by prevalence)\"},\n", + " template=\"plotly_white\"\n", + ")\n", + "\n", + "# Customize layout\n", + "fig.update_traces(marker=dict(symbol=\"line-ns-open\", size=10)) # \"|\" marker equivalent\n", + "fig.update_layout(\n", + " width=1200, # Increase width for a wider plot\n", + " height=600, # Adjust height if needed\n", + " xaxis=dict(range=[0, xmax+1], title_font=dict(size=20), tickfont=dict(size=18)),\n", + " yaxis=dict(range=[0, ymax+0.8], title_font=dict(size=20), tickfont=dict(size=18)),\n", + " showlegend=False\n", + ")\n", + "\n", + "# Save the figure as an interactive HTML file\n", + "os.makedirs(nestedness_dir, exist_ok=True)\n", + "nest_phylum_allsamples_path = os.path.join(nestedness_dir, \"2_all_samples.json\")\n", + "fig.write_json(nest_phylum_allsamples_path)\n", + "\n", + "# Show the figure\n", + "fig.show(renderer=\"png\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Determine axis limits\n", + "xmax = nest_phylum_plantsamples_df.SAMPLE_RANK.max()\n", + "ymax = nest_phylum_plantsamples_df.OBSERVATION_RANK.max()\n", + "\n", + "# Get colors for each empo_3 category\n", + "nest_phylum_plantsamples_df['color'] = nest_phylum_plantsamples_df['empo_3'].apply(get_empo_cat_color)\n", + "\n", + "# Create the scatter plot\n", + "fig = px.scatter(\n", + " nest_phylum_plantsamples_df,\n", + " x=\"SAMPLE_RANK\",\n", + " y=\"OBSERVATION_RANK\",\n", + " color=\"empo_3\",\n", + " color_discrete_map={empo: get_empo_cat_color(empo) for empo in nest_phylum_plantsamples_df['empo_3'].unique()},\n", + " labels={\"SAMPLE_RANK\": \"Plant samples (sorted by richness)\", \"OBSERVATION_RANK\": \"Phyla (sorted by prevalence)\"},\n", + " template=\"plotly_white\"\n", + ")\n", + "\n", + "# Customize layout\n", + "fig.update_traces(marker=dict(symbol=\"line-ns-open\", size=10)) # \"|\" marker equivalent\n", + "fig.update_layout(\n", + " width=1200, # Increase width for a wider plot\n", + " height=600, # Adjust height if needed\n", + " xaxis=dict(range=[0, xmax+1], title_font=dict(size=20), tickfont=dict(size=18)),\n", + " yaxis=dict(range=[0, ymax+0.8], title_font=dict(size=20), tickfont=dict(size=18)),\n", + " legend=dict(\n", + " orientation=\"h\", # Horizontal legend\n", + " yanchor=\"top\", y=-0.2, # Moves the legend below the x-axis\n", + " xanchor=\"center\", x=0.5, # Centers the legend\n", + " font=dict(size=16)\n", + " ),\n", + " legend_title_text=\"\"\n", + ")\n", + "\n", + "# Save the figure as an interactive HTML file\n", + "os.makedirs(nestedness_dir, exist_ok=True)\n", + "nest_phylum_plantsamples_path = os.path.join(nestedness_dir, \"3_plant_samples.json\")\n", + "fig.write_json(nest_phylum_plantsamples_path)\n", + "\n", + "# Show the figure\n", + "fig.show(renderer=\"png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.3.4. Static plots with matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Determine axis limits\n", + "xmax = nest_phylum_animalsamples_df.SAMPLE_RANK.max()\n", + "ymax = nest_phylum_animalsamples_df.OBSERVATION_RANK.max()\n", + "\n", + "# Create the figure and axis\n", + "fig, ax = plt.subplots(figsize=(500/30, 80/12.7)) # Adjust size as needed\n", + "\n", + "# Store legend handles and labels\n", + "legend_handles = []\n", + "legend_labels = []\n", + "\n", + "# Plot data\n", + "for empo3 in np.sort(nest_phylum_animalsamples_df.empo_3.unique()):\n", + " color = get_empo_cat_color(empo3)\n", + " scatter = ax.scatter(\n", + " nest_phylum_animalsamples_df[nest_phylum_animalsamples_df.empo_3 == empo3].SAMPLE_RANK, \n", + " nest_phylum_animalsamples_df[nest_phylum_animalsamples_df.empo_3 == empo3].OBSERVATION_RANK, \n", + " marker='|', linewidths=2, label=empo3, color=color\n", + " )\n", + " legend_handles.append(scatter)\n", + " legend_labels.append(empo3)\n", + "\n", + "# Customize labels and appearance\n", + "ax.set_xlabel(\"Animal samples (sorted by richness)\", fontsize=20)\n", + "ax.set_ylabel(\"Phyla (sorted by prevalence)\", fontsize=20)\n", + "ax.tick_params(axis='both', which='major', labelsize=18)\n", + "\n", + "# Add legend\n", + "ax.legend(\n", + " handles=legend_handles, labels=legend_labels,\n", + " loc='upper center', bbox_to_anchor=(0.5, -0.2), # Moves legend below x-axis\n", + " ncol=3, fontsize=16, frameon=False, scatterpoints=1, handletextpad=0.5\n", + ")\n", + "\n", + "# Increase space at the bottom so the legend is not cut off\n", + "plt.subplots_adjust(bottom=0.25)\n", + "\n", + "ax.set_xlim([0, xmax+1])\n", + "ax.set_ylim([0, ymax+0.8])\n", + "\n", + "plt.tight_layout()\n", + "fig.patch.set_alpha(0.0)\n", + "\n", + "# Save the figure\n", + "os.makedirs(nestedness_dir, exist_ok=True)\n", + "nest_phylum_animalsamples_path = os.path.join(nestedness_dir, \"4_animal_samples.png\")\n", + "plt.savefig(nest_phylum_animalsamples_path, dpi=300, bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Determine axis limits\n", + "xmax = nest_phylum_nonsalinesamples_df.SAMPLE_RANK.max()\n", + "ymax = nest_phylum_nonsalinesamples_df.OBSERVATION_RANK.max()\n", + "\n", + "# Create the figure and axis\n", + "fig, ax = plt.subplots(figsize=(500/30, 80/12.7)) # Adjust size as needed\n", + "\n", + "# Store legend handles and labels\n", + "legend_handles = []\n", + "legend_labels = []\n", + "\n", + "# Plot data\n", + "for empo3 in np.sort(nest_phylum_nonsalinesamples_df.empo_3.unique()):\n", + " color = get_empo_cat_color(empo3)\n", + " scatter = ax.scatter(\n", + " nest_phylum_nonsalinesamples_df[nest_phylum_nonsalinesamples_df.empo_3 == empo3].SAMPLE_RANK, \n", + " nest_phylum_nonsalinesamples_df[nest_phylum_nonsalinesamples_df.empo_3 == empo3].OBSERVATION_RANK, \n", + " marker='|', linewidths=2, label=empo3, color=color\n", + " )\n", + " legend_handles.append(scatter)\n", + " legend_labels.append(empo3)\n", + "\n", + "# Customize labels and appearance\n", + "ax.set_xlabel(\"Non saline samples (sorted by richness)\", fontsize=20)\n", + "ax.set_ylabel(\"Phyla (sorted by prevalence)\", fontsize=20)\n", + "ax.tick_params(axis='both', which='major', labelsize=18)\n", + "\n", + "# Add legend\n", + "ax.legend(\n", + " handles=legend_handles, labels=legend_labels,\n", + " loc='upper center', bbox_to_anchor=(0.5, -0.2), # Moves legend below x-axis\n", + " ncol=3, fontsize=16, frameon=False, scatterpoints=1, handletextpad=0.5\n", + ")\n", + "\n", + "# Increase space at the bottom so the legend is not cut off\n", + "plt.subplots_adjust(bottom=0.25)\n", + "\n", + "ax.set_xlim([0, xmax+1])\n", + "ax.set_ylim([0, ymax+0.8])\n", + "\n", + "plt.tight_layout()\n", + "fig.patch.set_alpha(0.0)\n", + "\n", + "# Save the figure\n", + "os.makedirs(nestedness_dir, exist_ok=True)\n", + "nest_phylum_nonsalinesamples_path = os.path.join(nestedness_dir, \"5_non_saline_samples.png\")\n", + "plt.savefig(nest_phylum_nonsalinesamples_path, dpi=300, bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Network analysis" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.1. Phyla association networks " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 3.1.1 Load data and create section and subsection directories" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "# Create the output directory for the network analysis section and microbial networks subsection\n", + "network_dir = os.path.join(base_output_dir, \"3_Network_analysis/1_phyla_association_networks\")\n", + "os.makedirs(network_dir, exist_ok=True)\n", + "\n", + "# Load OTU counts table\n", + "otu_counts = \"https://raw.githubusercontent.com//biocore/emp/master/data/biom-tables/emp_deblur_100bp.subset_2k.rare_5000.biom\"\n", + "\n", + "# Download the file and save it as a binary file\n", + "response = requests.get(otu_counts)\n", + "with open(\"example_data/Earth_microbiome_vuegen_demo_notebook/emp_deblur_100bp.subset_2k.rare_5000.biom\", 'wb') as f:\n", + " f.write(response.content)\n", + "\n", + "# Load the BIOM file and convert it to a DataFrame\n", + "otu_counts_table = biom.load_table(\"example_data/Earth_microbiome_vuegen_demo_notebook/emp_deblur_100bp.subset_2k.rare_5000.biom\")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "# Collapse the table to the phylum level\n", + "phylum_idx = 1\n", + "collapse_f = lambda id_, md: '; '.join(md['taxonomy'][:phylum_idx + 1])\n", + "phyla_table = otu_counts_table.collapse(collapse_f, axis='observation')\n", + "\n", + "# Convert the collapsed table to a DataFrame\n", + "phyla_counts_df = phyla_table.to_dataframe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 3.1.2. Clean data and export a subset of the counts table" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "# Clean the index (which contains Phylum names) by removing unnecessary parts\n", + "phyla_counts_df.index = phyla_counts_df.index.str.split(';').str[-1].str.replace('p__', '', regex=False)\n", + "\n", + "# Remove special characters like [] and unnecessary spaces\n", + "phyla_counts_df.index = phyla_counts_df.index.str.replace('[', '', regex=False).str.replace(']', '', regex=False).str.strip()\n", + "\n", + "# Remove rows where the index only has 'k__' and 'Unclassified'\n", + "phyla_counts_df = phyla_counts_df[~(phyla_counts_df.index == 'Unclassified')]\n", + "phyla_counts_df = phyla_counts_df[~phyla_counts_df.index.str.contains('k__')]\n", + "\n", + "# Remove duplicaye rows\n", + "phyla_counts_df = phyla_counts_df[~phyla_counts_df.index.duplicated(keep='first')]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# Obtain a randome sample of the columns of the phyla counts df\n", + "sample_phyla_counts_df = phyla_counts_df.sample(50, axis=1)\n", + "\n", + "# Export the sample df as a CSV file\n", + "sample_phyla_counts_df.to_csv(f'{network_dir}/1_phyla_counts_subset.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 3.1.3. Phyla association network edge list" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "# Compute correlation matrix with absolute values\n", + "phyla_corr_matrix = phyla_counts_df.T.corr().abs()\n", + "\n", + "# Create a binary adjacency matrix using a threshold\n", + "threshold = 0.5\n", + "phyla_corr_matrix_binary = phyla_corr_matrix > threshold\n", + "\n", + "# Set diagonal values to 0\n", + "np.fill_diagonal(phyla_corr_matrix_binary.values, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "# Create a graph from the binary matrix\n", + "G = nx.Graph()\n", + "\n", + "# Add nodes (Phyla)\n", + "phyla = phyla_corr_matrix_binary.index.tolist()\n", + "G.add_nodes_from(phyla)\n", + "\n", + "# Add edges where binary_matrix == 1\n", + "for i in range(len(phyla)):\n", + " for j in range(i + 1, len(phyla)): # Avoid duplicate edges\n", + " if phyla_corr_matrix_binary.iloc[i, j] == 1:\n", + " G.add_edge(phyla[i], phyla[j])\n", + "\n", + "# Remove singleton nodes (nodes with no edges)\n", + "G.remove_nodes_from(list(nx.isolates(G)))\n", + "\n", + "# Export network as an edge list in CSV format, the \"edge_list\" word should be in the file name to be \n", + "# recognized as an edge list file\n", + "edge_list = nx.to_pandas_edgelist(G)\n", + "edge_list.to_csv(os.path.join(network_dir, \"2_phyla_correlation_network_with_0.5_threshold_edgelist.csv\"), index=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 3.1.4. Phyla association network static plot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Draw the network \n", + "plt.figure(figsize=(8, 6))\n", + "pos = nx.kamada_kawai_layout(G) # Layout for better visualization\n", + "nx.draw(G, pos, \n", + " with_labels=True, \n", + " node_size=500, \n", + " node_color=\"lightblue\", \n", + " edgecolors=\"black\",\n", + " linewidths=0.3, \n", + " font_size=10)\n", + "\n", + "# Export the figure as a PNG file\n", + "network_path = os.path.join(network_dir, \"3_phyla_correlation_network_with_0.5_threshold.png\")\n", + "plt.savefig(network_path, dpi=300, bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Report generation\n", + "To generate different report types, just modify the report_type variable. The available types are: \n", + "* streamlit\n", + "* html\n", + "* pdf\n", + "* docx\n", + "* odt\n", + "* revealjs\n", + "* pptx\n", + "* jupyter" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.1. Streamlit report" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "report_type = \"streamlit\"\n", + "report_name = \"Earth_microbiome_vuegen_demo_notebook_dir\"\n", + "\n", + "# Initialize logger\n", + "logger = get_logger(f\"{report_type}_report_{report_name}\")\n", + "\n", + "# Generate the report\n", + "report_generator.get_report(dir_path = base_output_dir, report_type = report_type, logger = logger)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# The streamlit web application can be run with the following command:\n", + "# streamlit run streamlit_report/sections/report_manager.py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.2. HTML report" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "report_type = \"html\"\n", + "report_name = \"Earth_microbiome_vuegen_demo_notebook_dir\"\n", + "\n", + "# Initialize logger\n", + "logger = get_logger(f\"{report_type}_report_{report_name}\")\n", + "\n", + "# Generate the report\n", + "report_generator.get_report(dir_path = base_output_dir, report_type = report_type, logger = logger)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. Extending the report\n", + "Now, we will extend the report by modifying the configuration file to include a logo and graphica abstract in the main page, a descritption for a section and a subsection, and a new plot from a url. We are modifying this file from the notebook, but it is also possible to do it directly in the configuration file with a text editor." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.1. Adding a logo and graphical abstract" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "empo_logo_path = os.path.join(base_output_dir, \"emp_logo.png\")\n", + "\n", + "# Load the YAML file\n", + "config_path = os.path.join(base_output_dir, \"Earth_microbiome_vuegen_demo_notebook_config.yaml\")\n", + "config = load_yaml_config(config_path)\n", + "\n", + "# Update the logo and graphical abstract with the URL\n", + "config[\"report\"].update({\"logo\": empo_logo_path, \"graphical_abstract\": empo_logo_path})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.2. Including a description for a section and a subsection" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "# Update the description for the EDA section\n", + "for section in config[\"sections\"]:\n", + " if section[\"title\"] == \"Exploratory Data Analysis\": \n", + " section[\"description\"] = \"This section contains the exploratory data analysis of the Earth Microbiome Project (EMP) dataset.\"\n", + "\n", + "# Update the description for the alpha diversity subsection from the Metagenomics section\n", + "for section in config[\"sections\"]:\n", + " if section[\"title\"] == \"Metagenomics\":\n", + " for subsection in section[\"subsections\"]:\n", + " if subsection[\"title\"] == \"Alpha Diversity\":\n", + " subsection[\"description\"] = \"This subsection contains the alpha diversity analysis of the EMP dataset.\"\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.3. Adding a new plot from a url" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "# Define new plot with a URL as the file path\n", + "chem_prop_plot = {\n", + " \"title\": \"Physicochemical properties of the EMP samples\",\n", + " \"file_path\": \"https://raw.githubusercontent.com/biocore/emp/master/methods/images/figureED1_physicochemical.png\", \n", + " \"description\": \"\",\n", + " \"caption\": \"Pairwise scatter plots of available physicochemical metadat are shown for temperature, salinity, oxygen, and pH, and for phosphate, nitrate, and ammonium\",\n", + " \"component_type\": \"plot\",\n", + " \"plot_type\": \"static\"\n", + "}\n", + "\n", + "# Add the plot to the Sample Provenance subsection in the EDA section\n", + "for section in config[\"sections\"]:\n", + " if section[\"title\"] == \"Exploratory Data Analysis\":\n", + " for subsection in section[\"subsections\"]:\n", + " if subsection[\"title\"] == \"Sample Exploration\":\n", + " subsection[\"components\"].append(chem_prop_plot)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.4. Creating a new subsection with a plot from a url" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "# Define new plot with a URL as the file path\n", + "specif_seq_plot = {\n", + " \"title\": \"Specificity of sequences and higher taxonomic groups for environment\",\n", + " \"file_path\": \"https://raw.githubusercontent.com/biocore/emp/master/methods/images/figure4_entropy.png\", \n", + " \"description\": \"\",\n", + " \"caption\": \"a) Environment distribution in all genera and 400 randomly chosen tag sequence. b) and c) Shannon entropy within each taxonomic group.\",\n", + " \"component_type\": \"plot\",\n", + " \"plot_type\": \"static\"\n", + "}\n", + "\n", + "# Define the new subsection for the Shannon entropy analysis\n", + "entropy_subsection = {\n", + " \"title\": \"Shanon entropy analysis\", \n", + " \"description\": \"This subsection contains the Shannon entropy analysis of the EMP dataset.\",\n", + " \"components\": [specif_seq_plot] \n", + "}\n", + "\n", + "# Add the new subsection to the Metagenomics section\n", + "for section in config[\"sections\"]:\n", + " if section[\"title\"] == \"Metagenomics\": \n", + " section[\"subsections\"].append(entropy_subsection)\n", + "\n", + "# Save the modified YAML file\n", + "with open(config_path, \"w\") as file:\n", + " yaml.dump(config, file, default_flow_style=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.5. Stremlit report with the extended configuration file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Test the changes by generarating the report from the modified YAML file\n", + "report_type = \"streamlit\"\n", + "report_name = \"Earth_microbiome_vuegen_demo_notebook_config_extended\"\n", + "\n", + "# Initialize logger\n", + "logger = get_logger(f\"{report_type}_report_{report_name}\")\n", + "\n", + "# Generate the report\n", + "report_generator.get_report(config_path = config_path, report_type = report_type, logger = logger)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# The streamlit web application can be run with the following command:\n", + "# streamlit run streamlit_report/sections/report_manager.py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.6. HTML report with the extended configuration file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Test the changes by generarating the report from the modified YAML file\n", + "report_type = \"html\"\n", + "report_name = \"Earth_microbiome_vuegen_demo_notebook_config_extended\"\n", + "\n", + "# Initialize logger\n", + "logger = get_logger(f\"{report_type}_report_{report_name}\")\n", + "\n", + "# Generate the report\n", + "report_generator.get_report(config_path = config_path, report_type = report_type, logger = logger)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "vuegen", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.21" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/vuegen_demo.ipynb b/docs/vuegen_demo.ipynb deleted file mode 100644 index a87f724..0000000 --- a/docs/vuegen_demo.ipynb +++ /dev/null @@ -1,99 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# VueGen\n", - "\n", - "VueGen is a Python library that automates the creation of reports based on a YAML configuration file. This configuration file specifies the structure of the report, including sections, subsections, and various components such as plots, dataframes, markdown, and API calls. Reports can be generated in various formats, including documents (PDF, HTML, DOCX, ODT), presentations (PPTX, Reveal.js), notebooks (Jupyter) or Streamlit web applications.\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from vuegen import report_generator\n", - "from vuegen.utils import get_logger, load_yaml_config" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Create a report\n", - "To generate different report types, just modify the report_type variable. The available types are: \n", - "* streamlit\n", - "* html\n", - "* pdf\n", - "* docx\n", - "* odt\n", - "* revealjs\n", - "* pptx\n", - "* jupyter" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Load the YAML configuration file with the report metadata\n", - "config_path = \"example_data/MicW2Graph/report_config_micw2graph.yaml\"\n", - "report_config = load_yaml_config(config_path)\n", - "report_config" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Define logger suffix based on report engine, type and name\n", - "report_type = \"html\"\n", - "report_name = report_config['report'].get('name')\n", - "\n", - "# Initialize logger\n", - "logger = get_logger(f\"{report_type}_report_{report_name}\")\n", - "\n", - "# Generate the report\n", - "report_generator.get_report(config_path = config_path, report_type = report_type, logger = logger)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "vuegen", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.21" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/pyproject.toml b/pyproject.toml index 967dabb..b919280 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,7 +24,7 @@ kaleido = "0.2.0" vl-convert-python = "^1.7.0" dataframe-image = "^0.2.6" strenum = { version = "^0.4.15", python = "<3.11" } - +pyyaml = "^6.0.2" # optional doc depencencies, follow approach as described here: # https://github.com/python-poetry/poetry/issues/2567#issuecomment-646766059 sphinx = {version="*", optional=true} diff --git a/vuegen/config_manager.py b/vuegen/config_manager.py index 7cbf746..8b05b39 100644 --- a/vuegen/config_manager.py +++ b/vuegen/config_manager.py @@ -1,6 +1,6 @@ -import logging -import os import json +import logging +import os from pathlib import Path from typing import Dict, List, Optional, Tuple, Union @@ -166,7 +166,8 @@ def _read_description_file(self, folder_path: Path) -> str: """ description_file = folder_path / "description.md" if description_file.exists(): - return f"{description_file.read_text().strip().replace('\n', '\n ')}\n" + ret = description_file.read_text().strip().replace('\n', '\n ') + return f"{ret}\n" return "" def _create_subsect_config_fromdir(self, subsection_dir_path: Path) -> Dict[str, Union[str, List[Dict]]]: diff --git a/vuegen/quarto_reportview.py b/vuegen/quarto_reportview.py index 261bdd5..f7ad6ce 100644 --- a/vuegen/quarto_reportview.py +++ b/vuegen/quarto_reportview.py @@ -155,10 +155,39 @@ def _create_yaml_header(self) -> str: toc-location: left toc-depth: 3 page-layout: full - self-contained: true""", + self-contained: true +include-in-header: + text: | + +include-after-body: + text: | + """, r.ReportType.PDF: """ pdf: - toc: false""", + toc: false + margin: + - bottom=40mm + include-in-header: + text: | + \\usepackage{scrlayer-scrpage} + \\usepackage{hyperref} + \\clearpairofpagestyles + \\lofoot{This report was generated with \\href{https://github.com/Multiomics-Analytics-Group/vuegen}{VueGen} | \\copyright{} 2025 \\href{https://github.com/Multiomics-Analytics-Group}{Multiomics Network Analytics Group}} + \\rofoot{\pagemark}""", r.ReportType.DOCX: """ docx: toc: false""", @@ -172,7 +201,27 @@ def _create_yaml_header(self) -> str: controls: true navigation-mode: vertical controls-layout: bottom-right - output-file: quarto_report_revealjs.html""", + output-file: quarto_report_revealjs.html +include-in-header: + text: | + +include-after-body: + text: | + """, r.ReportType.PPTX: """ pptx: toc: false @@ -183,9 +232,28 @@ def _create_yaml_header(self) -> str: toc-location: left toc-depth: 3 page-layout: full - self-contained: true""" + self-contained: true +include-in-header: + text: | + +include-after-body: + text: | + """ } - # Create a key based on the report type and format key = self.report_type diff --git a/vuegen/streamlit_reportview.py b/vuegen/streamlit_reportview.py index ad2e9c1..cad0619 100644 --- a/vuegen/streamlit_reportview.py +++ b/vuegen/streamlit_reportview.py @@ -5,7 +5,7 @@ import pandas as pd from . import report as r -from .utils import create_folder, is_url +from .utils import create_folder, is_url, generate_footer class StreamlitReportView(r.WebAppReportView): @@ -161,8 +161,6 @@ def _format_text(self, text: str, type: str, level: int = 1, color: str = '#0000 tag = f"h{level}" elif type == 'paragraph': tag = 'p' - elif type == 'caption': - tag = 'figcaption' return f"""st.markdown('''<{tag} style='text-align: {text_align}; color: {color};'>{text}''', unsafe_allow_html=True)""" @@ -195,6 +193,10 @@ def _generate_home_section(self, output_dir: str, report_manag_content: list) -> if self.report.graphical_abstract: home_content.append(f"\nst.image('{self.report.graphical_abstract}', use_column_width=True)") + # Define the footer variable and add it to the home page content + home_content.append("footer = '''" + generate_footer() + "'''\n") + home_content.append("st.markdown(footer, unsafe_allow_html=True)\n") + # Write the home page content to a Python file home_page_path = os.path.join(home_dir_path, "Homepage.py") with open(home_page_path, 'w') as home_page: @@ -308,6 +310,10 @@ def _generate_subsection(self, subsection) -> tuple[List[str], List[str]]: else: self.report.logger.warning(f"Unsupported component type '{component.component_type}' in subsection: {subsection.title}") + # Define the footer variable and add it to the home page content + subsection_content.append("footer = '''" + generate_footer() + "'''\n") + subsection_content.append("st.markdown(footer, unsafe_allow_html=True)\n") + self.report.logger.info(f"Generated content and imports for subsection: '{subsection.title}'") return subsection_content, subsection_imports @@ -376,10 +382,6 @@ def _generate_plot_content(self, plot, static_dir: str = STATIC_FILES_DIR) -> Li except Exception as e: self.report.logger.error(f"Error generating content for '{plot.plot_type}' plot '{plot.id}' '{plot.title}': {str(e)}") raise - - # Add caption if available - if plot.caption: - plot_content.append(self._format_text(text=plot.caption, type='caption', text_align="left")) self.report.logger.info(f"Successfully generated content for plot '{plot.id}': '{plot.title}'") return plot_content diff --git a/vuegen/utils.py b/vuegen/utils.py index 62157a0..d9b6bbd 100644 --- a/vuegen/utils.py +++ b/vuegen/utils.py @@ -107,10 +107,6 @@ def is_url(filepath: str) -> bool: parsed_url = urlparse(filepath) return bool(parsed_url.scheme and parsed_url.netloc) - -import os -from bs4 import BeautifulSoup - def is_pyvis_html(filepath: str) -> bool: """ Check if the provided HTML file is a Pyvis network visualization. @@ -717,3 +713,35 @@ def get_logger(log_suffix): logger.info(f"Path to log file: {log_file}") return logger + +## REPORT FORMATTING +def generate_footer() -> str: + """ + Generate an HTML footer for a report. + + This function creates a styled HTML footer that includes a link to VueGen + and the Multiomics Network Analytics Group (MoNA). + + Returns + ------- + str + A formatted HTML string representing the footer. + """ + footer = ''' +''' + return footer \ No newline at end of file