Skip to content

Commit fe3908b

Browse files
committed
Extend benchmark dataset and speed up benchmark
1 parent 865d400 commit fe3908b

7 files changed

+1032
-5
lines changed

benchmark/benchmark_datasets.csv

Lines changed: 500 additions & 0 deletions
Large diffs are not rendered by default.
Lines changed: 101 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,101 @@
1+
id,type,url
2+
10.60516/au5619462,dois,https://pid.geoscience.gov.au/sample/AU5619462
3+
10.5281/zenodo.6914651,dois,https://zenodo.org/record/6914651
4+
10.15468/dl.7iwwpr,dois,http://www.gbif.org/occurrence/download/0004681-171025204727650
5+
10.60516/au7297895,dois,https://pid.geoscience.gov.au/sample/AU7297895
6+
10.58052/iebeg15c8,dois,https://app.geosamples.org/sample/igsn/10.58052/IEBEG15C8
7+
10.25959/23222318,dois,https://figshare.utas.edu.au/articles/thesis/Factors_that_contribute_to_human_error_and_workplace_accidents/23222318
8+
10.6084/m9.figshare.22790930.v1,dois,https://figshare.com/articles/online_resource/Summary-level_association_statistics_from_linear_regression_models_for_HbA1c_and_DNA_methylation_beta_values_Illumina_Infinium_MethylationEPIC_array_in_the_Pittsburgh_Epidemiology_of_Diabetes_Complications_EDC_cohort_study_of_type_1_diabete/22790930/1
9+
10.60516/au5956205,dois,https://pid.geoscience.gov.au/sample/AU5956205
10+
10.7925/drs1.duchas_4672769,dois,http://digital.ucd.ie/view/duchas:4672769
11+
10.15156/bio/sh3439129.08fu,dois,https://doi.plutof.ut.ee/doi/10.15156/BIO/SH3439129.08FU
12+
10.25335/4fx2-jt64,dois,https://d.lib.msu.edu/etd/48752
13+
10.7916/d8vd7mkn,dois,https://dlc.library.columbia.edu/lcaaj/cul:7m0cfxpp9d
14+
10.7916/d8-nn1t-df21,dois,https://dlc.library.columbia.edu/resolve/10.7916/d8-nn1t-df21
15+
10.15468/dl.92gt9h,dois,https://www.gbif.org/occurrence/download/0201802-210914110416597
16+
10.60471/odp02utpk,dois,https://app.geosamples.org/sample/igsn/10.60471/ODP02UTPK
17+
10.13140/rg.2.1.1006.6400,dois,http://rgdoi.net/10.13140/RG.2.1.1006.6400
18+
10.5258/soton/wp00040,dois,http://www.worldpop.org.uk/data/summary/?doi=10.5258/SOTON/WP00040
19+
10.11588/nbdpfbw.2022.2.89833,dois,https://journals.ub.uni-heidelberg.de/index.php/nbdpfbw/article/view/89833
20+
10.48550/arxiv.1509.07661,dois,https://arxiv.org/abs/1509.07661
21+
10.24435/materialscloud:fw-66,dois,https://archive.materialscloud.org/record/2022.112
22+
10.15468/dl.sauci2,dois,https://www.gbif.org/occurrence/download/0006312-190307172214381
23+
10.7910/dvn/1csvbv/dc3tr3,dois,https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/1CSVBV/DC3TR3
24+
10.3932/ethz-a-000197953,dois,https://ba.e-pics.ethz.ch/catalog/ETHBIB.Bildarchiv/r/206222
25+
10.60471/odp01aoxw,dois,https://app.geosamples.org/sample/igsn/10.60471/ODP01AOXW
26+
10.60471/odp032gy7,dois,https://app.geosamples.org/sample/igsn/10.60471/ODP032GY7
27+
10.60516/au4990461,dois,https://pid.geoscience.gov.au/sample/AU4990461
28+
10.5883/bold:aaa4052,dois,http://www.boldsystems.org/index.php/Public_BarcodeCluster?clusterguid=BOLD:AAA4052
29+
10.58006/bfbg-7059,dois,https://campagnes.flotteoceanographique.fr/sample?id=BFBG-7059
30+
10.5281/zenodo.6128034,dois,https://zenodo.org/record/6128034
31+
10.57907/mirri/c1lede,dois,http://147.156.5.176:8080/citation?persistentId=doi:10.57907/MIRRI/C1LEDE
32+
10.60516/au4771975,dois,https://pid.geoscience.gov.au/sample/AU4771975
33+
10.60471/odp01teyz,dois,https://app.geosamples.org/sample/igsn/10.60471/ODP01TEYZ
34+
10.21233/rt91-gf69,dois,https://data.neotomadb.org/22610
35+
10.15468/dl.gjtkhg,dois,https://www.gbif.org/occurrence/download/0012297-190621201848488
36+
10.3932/ethz-a-001383200,dois,https://ba.e-pics.ethz.ch/catalog/ETHBIB.Bildarchiv/r/1676320
37+
10.60516/au7105666,dois,https://pid.geoscience.gov.au/sample/AU7105666
38+
10.18730/qz43x,dois,https://glis.fao.org/glis/doi/10.18730/QZ43X
39+
10.60516/au7191035,dois,https://pid.geoscience.gov.au/sample/AU7191035
40+
10.5281/zenodo.238789,dois,https://zenodo.org/record/238789
41+
10.7925/drs1.duchas_4727513,dois,http://digital.ucd.ie/view/duchas:4727513
42+
10.25375/uct.16738333.v1,dois,https://zivahub.uct.ac.za/articles/physical_object/Rafnia_triflora_109668_/16738333/1
43+
10.48550/arxiv.1912.01059,dois,https://arxiv.org/abs/1912.01059
44+
10.15496/publikation-82375,dois,https://publikationen.uni-tuebingen.de/xmlui/handle/10900/141028
45+
10.6073/pasta/628cb4a7c1aec1e81b1af2d9a3b48791,dois,https://portal.edirepository.org/nis/mapbrowse?packageid=ecotrends.12057.2
46+
10.12764/30896_p752,dois,http://www.die-bonn.de/id/30896_p752
47+
10.60516/au478093,dois,https://pid.geoscience.gov.au/sample/AU478093
48+
10.7916/d8-eknc-aa77,dois,https://dlc.library.columbia.edu/resolve/10.7916/d8-eknc-aa77
49+
10.5281/zenodo.1461484,dois,https://zenodo.org/record/1461484
50+
10.11588/diglit.37423,dois,https://digi.ub.uni-heidelberg.de/diglit/studio_yearbook1911
51+
10.60516/au5178605,dois,https://pid.geoscience.gov.au/sample/AU5178605
52+
10.60516/au5673246,dois,https://pid.geoscience.gov.au/sample/AU5673246
53+
10.60516/au931950,dois,https://pid.geoscience.gov.au/sample/AU931950
54+
10.6085/aa/ano001_021mtbd012r00_20050617.50.3,dois,https://data.piscoweb.org/metacatui/#view/doi:10.6085/AA/ANO001_021MTBD012R00_20050617.50.3
55+
10.15156/bio/sh1114761.09fu,dois,https://doi.plutof.ut.ee/doi/10.15156/BIO/SH1114761.09FU
56+
10.12683/eth-20392,dois,https://sr.ethz.ch/digbib/view?pid=srp-001:1901:0::220
57+
10.3932/ethz-a-000536275,dois,https://ba.e-pics.ethz.ch/catalog/ETHBIB.Bildarchiv/r/624727
58+
10.60471/odp01a5uw,dois,https://app.geosamples.org/sample/igsn/10.60471/ODP01A5UW
59+
10.60471/odp01lb0u,dois,https://app.geosamples.org/sample/igsn/10.60471/ODP01LB0U
60+
10.3932/ethz-a-001052573,dois,https://ba.e-pics.ethz.ch/catalog/ETHBIB.Bildarchiv/r/1164806
61+
10.15468/dl.364dcz,dois,https://www.gbif.org/occurrence/download/0164399-220831081235567
62+
10.3932/ethz-a-000495918,dois,https://ba.e-pics.ethz.ch/catalog/ETHBIB.Bildarchiv/r/583793
63+
10.5167/uzh-91433,dois,https://www.zora.uzh.ch/id/eprint/91433
64+
10.14469/ch/1303,dois,https://spectradspace.lib.imperial.ac.uk:8443/dspace/handle/10042/to-1328
65+
10.48370/ofd/v366mi,dois,https://dataverse.openforestdata.pl/citation?persistentId=doi:10.48370/OFD/V366MI
66+
10.17188/1270137,dois,https://www.osti.gov/servlets/purl/1270137/
67+
10.6084/m9.figshare.c.3609521_d1.v1,dois,https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_Table_S1_of_Peripheral_blood_T-cell_signatures_from_high-resolution_immune_phenotyping_of_and_T-cells_in_younger_and_older_subjects_in_the_Berlin_Aging_Study_II/4357832/1
68+
10.48550/arxiv.2104.06625,dois,https://arxiv.org/abs/2104.06625
69+
10.18720/spbpu/2/v18-6126,dois,http://elib.spbstu.ru/dl/2/v18-6126.pdf
70+
10.60516/au823473,dois,https://pid.geoscience.gov.au/sample/AU823473
71+
10.60516/au144107,dois,https://pid.geoscience.gov.au/sample/AU144107
72+
10.15156/bio/sh441031.07fu,dois,https://doi.plutof.ut.ee/doi/10.15156/BIO/SH441031.07FU
73+
10.22004/ag.econ.309524,dois,https://ageconsearch.umn.edu/record/309524
74+
10.5517/ccdc.csd.cc2f0vlx,dois,http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2f0vlx&sid=DataCite
75+
10.25716/hfmdk-505,dois,https://hfmdk.hebis.de/jspui/handle/123456789/507
76+
10.15468/dl.vrh3ve,dois,https://www.gbif.org/occurrence/download/0023588-230810091245214
77+
10.13145/bacdive109032.20230509.8,dois,https://bacdive.dsmz.de/index.php?site=pdf_view&id=109032&doi=doi:10.13145/bacdive109032.20230509.8
78+
10.6084/m9.figshare.c.3607547,dois,https://figshare.com/collections/Charting_health_system_reconstruction_in_post-war_Liberia_a_comparison_of_rural_vs_remote_healthcare_utilization/3607547
79+
10.5169/seals-579353,dois,https://www.e-periodica.ch/digbib/view?pid=ihz-001:1901:17::2066
80+
10.18730/15t7yg,dois,https://glis.fao.org/glis/doi/10.18730/15T7YG
81+
10.5061/dryad.35q4h/3,dois,http://datadryad.org/resource/doi:10.5061/dryad.35q4h/3
82+
10.5683/sp3/5v5quz,dois,https://borealisdata.ca/citation?persistentId=doi:10.5683/SP3/5V5QUZ
83+
10.60471/odp023yo7,dois,https://app.geosamples.org/sample/igsn/10.60471/ODP023YO7
84+
10.6084/m9.figshare.11749815,dois,https://tandf.figshare.com/articles/Positive_expression_of_i_PAX7_i_indicates_poor_prognosis_of_pediatric_and_adolescent_AML_patients/11749815
85+
10.14456/scitechasia.2022.12,dois,http://doi.nrct.go.th/?page=resolve_doi&resolve_doi=10.14456/scitechasia.2022.12
86+
10.15156/bio/sh1764705.08fu,dois,https://doi.plutof.ut.ee/doi/10.15156/BIO/SH1764705.08FU
87+
10.5169/seals-855816,dois,https://www.e-periodica.ch/digbib/view?pid=sev-003:2008:99::1684
88+
10.15156/bio/sh1703078.08fu,dois,https://doi.plutof.ut.ee/doi/10.15156/BIO/SH1703078.08FU
89+
10.25549/usctheses-m3930,dois,https://digitallibrary.usc.edu/asset-management/2A3BF1U9A2EW
90+
10.25549/slides-c42-651,dois,https://digitallibrary.usc.edu/asset-management/2A3BF19R9BI9
91+
10.3931/e-rara-25202,dois,https://www.e-rara.ch/zut/doi/10.3931/e-rara-25202
92+
10.5169/seals-769655,dois,https://www.e-periodica.ch/digbib/view?pid=arb-013:2006:0::625
93+
10.5169/seals-758815,dois,https://www.e-periodica.ch/digbib/view?pid=alp-004:1949:17::895
94+
10.48550/arxiv.2103.12392,dois,https://arxiv.org/abs/2103.12392
95+
10.20381/ruor-15199,dois,http://ruor.uottawa.ca/handle/10393/7170
96+
10.6084/m9.figshare.12348110,dois,https://adisjournals.figshare.com/articles/Value_Added_Impact_of_Both_Point-of-Care_and_Laboratory_Lactic_Acid_Analysis_When_Emergently_Evaluating_Cancer_Patients/12348110
97+
10.15468/dl.tgbxwc,dois,https://www.gbif.org/occurrence/download/0007284-200221144449610
98+
10.5281/zenodo.7675246,dois,https://zenodo.org/record/7675246
99+
10.17876/plate/dr.2/envelopes/201_50873,dois,https://www.plate-archive.org/objects/dr.2/envelopes/201_50873
100+
10.60494/ftgn-xr49,dois,https://pid.geoscience.gov.au/sample/AU9431202
101+
10.6084/m9.figshare.c.3636695,dois,https://figshare.com/collections/Resting-state_EEG_power_and_coherence_vary_between_migraine_phases/3636695
Lines changed: 101 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,101 @@
1+
id,type,url
2+
10.5517/ccnjkl9,dois,http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccnjkl9&sid=DataCite
3+
10.14456/stj.2019.4,dois,http://doi.nrct.go.th/?page=resolve_doi&resolve_doi=10.14456/stj.2019.4
4+
10.3932/ethz-a-000305267,dois,https://ba.e-pics.ethz.ch/catalog/ETHBIB.Bildarchiv/r/485318
5+
10.14457/kmutt.res.2010.25,dois,http://doi.nrct.go.th/?page=resolve_doi&resolve_doi=10.14457/KMUTT.res.2010.25
6+
10.58151/nhb000wfl,dois,https://app.geosamples.org/sample/igsn/10.58151/NHB000WFL
7+
10.14469/ch/175982,dois,https://spectradspace.lib.imperial.ac.uk:8443/dspace/handle/10042/180406
8+
10.13145/bacdive125399.20220920.7,dois,https://bacdive.dsmz.de/index.php?site=pdf_view&id=125399&doi=doi:10.13145/bacdive125399.20220920.7
9+
10.60494/qf0d-2093,dois,https://pid.geoscience.gov.au/sample/AU9594644
10+
10.5281/zenodo.1402137,dois,https://zenodo.org/record/1402137
11+
10.15156/bio/sh256584.07fu,dois,https://doi.plutof.ut.ee/doi/10.15156/BIO/SH256584.07FU
12+
10.60516/au5419152,dois,https://pid.geoscience.gov.au/sample/AU5419152
13+
10.6085/aa/winxxx_015mtbd009r00_20010425.40.2,dois,https://data.piscoweb.org/catalog/d1/mn/v1/object/doi:10.6085/AA/WINXXX_015MTBD009R00_20010425.40.2
14+
10.12764/15384_p41,dois,http://www.die-bonn.de/id/15384_p41
15+
10.6084/m9.figshare.c.3606662.v1,dois,https://figshare.com/collections/The_application_of_transcriptomic_data_in_the_authentication_of_beef_derived_from_contrasting_production_systems/3606662/1
16+
10.34847/nkl.bd928s9z,dois,https://nakala.fr/10.34847/nkl.bd928s9z
17+
10.15781/t2c824g2w,dois,https://repositories.lib.utexas.edu/handle/2152/41169
18+
10.60516/au5509753,dois,https://pid.geoscience.gov.au/sample/AU5509753
19+
10.48550/arxiv.1708.00859,dois,https://arxiv.org/abs/1708.00859
20+
10.60516/au6235281,dois,https://pid.geoscience.gov.au/sample/AU6235281
21+
10.60471/odp01ryey,dois,https://app.geosamples.org/sample/igsn/10.60471/ODP01RYEY
22+
10.15468/dl.lcts4z,dois,https://www.gbif.org/occurrence/download/0030417-200221144449610
23+
10.7910/dvn/nnk8i7/vvrceo,dois,https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/NNK8I7/VVRCEO
24+
10.13145/bacdive107440.20180622.3,dois,http://bacdive.dsmz.de/index.php?site=pdf_view&id=107440&doi=doi:10.13145/bacdive107440.20180622.3
25+
10.7925/drs1.duchas_4652815,dois,http://digital.ucd.ie/view/duchas:4652815
26+
10.7910/dvn/sk7jvv/rtourj,dois,https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/SK7JVV/RTOURJ
27+
10.58151/nhb004l4g,dois,https://app.geosamples.org/sample/igsn/10.58151/NHB004L4G
28+
10.15463/ie1418.10529,dois,http://encyclopedia.1914-1918-online.net/article/religious_mobilization_and_popular_belief_italy/2015-01-06
29+
10.1184/r1/6614933,dois,https://kilthub.cmu.edu/articles/Group_Support_Interventions_for_Women_With_Breast_Cancer_Who_Benefits_From_What_/6614933
30+
10.18730/59g56,dois,https://glis.fao.org/glis/doi/10.18730/59G56
31+
10.7916/d8rj5rmf,dois,https://dlc.library.columbia.edu/resolve/10.7916/D8RJ5RMF
32+
10.34847/nkl.bcearo45,dois,https://nakala.fr/10.34847/nkl.bcearo45
33+
10.16903/ethz-grs-d_010996,dois,https://www.e-gs.ethz.ch/eMP/eMuseumPlus?service=ExternalInterface&module=collection&objectId=25664&viewType=detailView
34+
10.5281/zenodo.6834717,dois,https://zenodo.org/record/6834717
35+
10.5517/cc140rxt,dois,http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/cc140rxt&sid=DataCite
36+
10.60516/au4590583,dois,https://pid.geoscience.gov.au/sample/AU4590583
37+
10.4225/72/59932071f1fab,dois,http://catalog.paradisec.org.au/collections/KK1/items/0036/essences/1126952
38+
10.25435/documento.177765,dois,https://archiviostorico.fondazione1563.it/oggetti/177765-eredita-bernocco
39+
10.6084/m9.figshare.53050,dois,https://figshare.com/articles/figure/Corto_and_DSP1_interact_and_bind_to_a_maintenance_element_of_the_gene:_understanding_the_role_of_-2/53050
40+
10.6084/m9.figshare.831068,dois,https://figshare.com/articles/figure/Laguna_Cazadero_Bel_n_Boyac_/831068
41+
10.6084/m9.figshare.c.3631949_d6,dois,https://springernature.figshare.com/articles/figure/Additional_file_5_Figure_S4_of_Unusual_sub-genus_associations_of_faecal_Prevotella_and_Bacteroides_with_specific_dietary_patterns/4426625
42+
10.60494/hgab-mq76,dois,https://pid.geoscience.gov.au/sample/AU8204671
43+
10.15468/dl.s74adv,dois,https://www.gbif.org/occurrence/download/0153865-220831081235567
44+
10.60516/au2327963,dois,https://pid.geoscience.gov.au/sample/AU2327963
45+
10.3886/icpsr31921.v4,dois,https://www.icpsr.umich.edu/web/NAHDAP/studies/31921/versions/V4
46+
10.60471/odp01qt9j,dois,https://app.geosamples.org/sample/igsn/10.60471/ODP01QT9J
47+
10.5283/epub.26722,dois,https://epub.uni-regensburg.de/id/eprint/26722
48+
10.5169/seals-109416,dois,https://www.e-periodica.ch/digbib/view?pid=aip-001:1912:3::21
49+
10.7916/d8-4wd3-5518,dois,https://dlc.library.columbia.edu/catalog/ldpd:182425
50+
10.25384/sage.13238229.v1,dois,https://sage.figshare.com/articles/journal_contribution/TRR964786_Supplemental_Material_CLN_Supplemental_material_for_Examining_Prominent_Causes_of_Traffic_Injury_Severity_in_Louisiana_with_Multinomial_Logistic_Models/13238229/1
51+
10.48370/ofd/nghy1p,dois,https://dataverse.openforestdata.pl/citation?persistentId=doi:10.48370/OFD/NGHY1P
52+
10.17605/osf.io/a8yvk,dois,https://osf.io/a8yvk/
53+
10.17876/plate/dr.2/plates/201_35722,dois,https://www.plate-archive.org/objects/dr.2/plates/201_35722
54+
10.48370/ofd/lypwgs,dois,https://dataverse.openforestdata.pl/citation?persistentId=doi:10.48370/OFD/LYPWGS
55+
10.11588/heidok.00008481,dois,http://archiv.ub.uni-heidelberg.de/volltextserver/id/eprint/8481
56+
10.14288/1.0126085,dois,https://doi.library.ubc.ca/10.14288/1.0126085
57+
10.13145/bacdive135557.20220920.7,dois,https://bacdive.dsmz.de/index.php?site=pdf_view&id=135557&doi=doi:10.13145/bacdive135557.20220920.7
58+
10.5281/zenodo.3210018,dois,https://zenodo.org/record/3210018
59+
10.14457/mu.the.1999.140,dois,http://doi.nrct.go.th/?page=resolve_doi&resolve_doi=10.14457/MU.the.1999.140
60+
10.60516/au5361570,dois,https://pid.geoscience.gov.au/sample/AU5361570
61+
10.60516/au2524069,dois,https://pid.geoscience.gov.au/sample/AU2524069
62+
10.15156/bio/sh1496962.08fu,dois,https://doi.plutof.ut.ee/doi/10.15156/BIO/SH1496962.08FU
63+
10.5281/zenodo.8074976,dois,https://zenodo.org/record/8074976
64+
10.60494/q9qb-ch77,dois,https://pid.geoscience.gov.au/sample/AU8792269
65+
10.6073/pasta/e2144789e2f2d4c7fa7cddfebe7c56a2,dois,https://portal.edirepository.org/nis/mapbrowse?packageid=lter-landsat-ledaps.860.1
66+
10.5281/zenodo.808418,dois,https://zenodo.org/record/808418
67+
10.25384/sage.16620286,dois,https://sage.figshare.com/articles/journal_contribution/sj-pdf-3-fla-10_1177_01427237211043594_Supplemental_material_for_How_do_3-year-olds_use_relevance_inferencing_to_interpret_indirect_speech_/16620286
68+
10.25645/4sdx-f74z,dois,https://architekturmuseum.ub.tu-berlin.de/P/386029.php
69+
10.58052/iedai033h,dois,https://app.geosamples.org/sample/igsn/10.58052/IEDAI033H
70+
10.3929/ethz-b-000406136,dois,http://hdl.handle.net/20.500.11850/406136
71+
10.13145/bacdive7029.20170829.2,dois,http://bacdive.dsmz.de/index.php?site=pdf_view&id=7029&doi=doi:10.13145/bacdive7029.20170829.2
72+
10.6084/m9.figshare.17151,dois,https://figshare.com/articles/figure/_A_The_predicted_genes_flanking_exons_in_black_/17151
73+
10.60471/odp027xfz,dois,https://app.geosamples.org/sample/igsn/10.60471/ODP027XFZ
74+
10.48550/arxiv.2203.00400,dois,https://arxiv.org/abs/2203.00400
75+
10.58052/hrv000189,dois,https://app.geosamples.org/sample/igsn/10.58052/HRV000189
76+
10.60516/au4802447,dois,https://pid.geoscience.gov.au/sample/AU4802447
77+
10.15156/bio/sh1176840.09fu,dois,https://doi.plutof.ut.ee/doi/10.15156/BIO/SH1176840.09FU
78+
10.5281/zenodo.571486,dois,https://zenodo.org/record/571486
79+
10.7910/dvn/hhsjy8/b10cd6,dois,https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/HHSJY8/B10CD6
80+
10.13140/rg.2.2.35195.52006,dois,http://rgdoi.net/10.13140/RG.2.2.35195.52006
81+
10.11588/diglit.13710.110,dois,https://digi.ub.uni-heidelberg.de/diglit/form1929/0304
82+
10.60494/gj01-vq54,dois,https://pid.geoscience.gov.au/sample/AU9108857
83+
10.48550/arxiv.2309.02963,dois,https://arxiv.org/abs/2309.02963
84+
10.15468/dl.emvr9a,dois,https://www.gbif.org/occurrence/download/0060143-230530130749713
85+
10.11588/soai.1995.4.8808,dois,https://hasp.ub.uni-heidelberg.de/journals/soai/article/view/8808
86+
10.57780/esa-yofbqnp,dois,http://esdcdoi.esac.esa.int/doi/html/data/astronomy/cheops/1953514.html
87+
10.6084/m9.figshare.8109299,dois,https://figshare.com/articles/pluto_graph_theta_phi1_zip/8109299
88+
10.7284/135869,dois,https://www.rvdata.us/search/fileset/135869
89+
10.5281/zenodo.6836169,dois,https://zenodo.org/record/6836169
90+
10.58052/prr025910,dois,https://app.geosamples.org/sample/igsn/10.58052/PRR025910
91+
10.60712/si-id218761.1,dois,https://straininfo.dsmz.de/search?sea=218761&qapi=/v1/search/culture/str_id/
92+
10.60471/odp02iqtz,dois,https://app.geosamples.org/sample/igsn/10.60471/ODP02IQTZ
93+
10.15156/bio/sh1694645.08fu,dois,https://doi.plutof.ut.ee/doi/10.15156/BIO/SH1694645.08FU
94+
10.34847/nkl.7bf7x444,dois,https://nakala.fr/10.34847/nkl.7bf7x444
95+
10.25573/serc.20060324.v2,dois,https://smithsonian.figshare.com/articles/dataset/2018_Water_Quality_Data_Bocas_del_Toro_MarineGEO_Smithsonian_Tropical_Research_Institute/20060324/2
96+
10.15156/bio/sh1153757.08fu,dois,https://doi.plutof.ut.ee/doi/10.15156/BIO/SH1153757.08FU
97+
10.11588/wja.1987.0.26715,dois,http://journals.ub.uni-heidelberg.de/index.php/wja/article/view/26715
98+
10.15468/dl.zh3l4q,dois,https://www.gbif.org/occurrence/download/0006174-190621201848488
99+
10.15156/bio/sh2703052.08fu,dois,https://doi.plutof.ut.ee/doi/10.15156/BIO/SH2703052.08FU
100+
10.15468/dl.hwmn4r,dois,https://www.gbif.org/occurrence/download/0061297-220831081235567
101+
10.58052/neon07zlp,dois,https://app.geosamples.org/sample/igsn/10.58052/NEON07ZLP

0 commit comments

Comments
 (0)