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datasets/askap.yaml

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License: CC-BY-4.0. Attribution required for refereed scientific papers.
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Resources:
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- Description: The Rapid ASKAP Continuum Survey (RACS) Public Data Releases
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ARN: arn:aws:s3:::askap/racs
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ARN: arn:aws:s3:::askap-odp/racs-low1/
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Region: ap-southeast-2
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Type: S3 Bucket
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RequesterPays: False
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- Description: Notifications for new Rapid ASKAP Continuum Survey (RACS) data
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ARN: arn:aws:sns:ap-southeast-2:336305517014:racs-low1-object_created
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Region: sp-southeast-2
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- Description: Notifications for new ASKAP data
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ARN: arn:aws:sns:ap-southeast-2:336305517014:askap-odp-object_created
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Region: ap-southeast-2
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Type: SNS Topic
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DataAtWork:
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Tutorials:

datasets/roa.yaml

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Name: Rain over Africa
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Description: The Rain over Africa (RoA) dataset consists of spaceborn estimates of precipitation of Rain over Africa using only geostationary imagery and obtained through a convolutional and quantile regression neural network. The dataset also contains some uncertainty estimates.
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Documentation: https://github.com/SEE-GEO/roa
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Contact: https://github.com/SEE-GEO/roa
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ManagedBy: "[Geoscience and Remote Sensing at Chalmers University of Technology](https://www.chalmers.se/en/departments/see/research/geo)"
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UpdateFrequency: At most, yearly
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Tags:
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- aws-pds
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- agriculture
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- analysis ready data
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- atmosphere
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- aws-pds
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- climate
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- deep learning
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- earth observation
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- geophysics
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- geoscience
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- hydrology
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- machine learning
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- precipitation
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- satellite imagery
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- weather
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- zarr
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License: "[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)"
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Citation: "Please refer to https://github.com/SEE-GEO/roa#5-how-to-cite for instructions on how to cite the RoA data."
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Resources:
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- Description: RoA expected rain rate and quantiles at levels 5%, 16%, 25%, 50%, 75%, 84%, and 95% in Zarr format
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ARN: arn:aws:s3:::rainoverafrica
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Region: us-west-2
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Type: S3 Bucket
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- Description: Notifications for new Rain over Africa data
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ARN: arn:aws:sns:us-west-2:261854712492:rainoverafrica-object_created
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Region: us-west-2
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Type: SNS Topic
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DataAtWork:
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Tutorials:
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- Title: Reading RoA data
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URL: https://github.com/SEE-GEO/roa?tab=readme-ov-file#22-reading-roa-data
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AuthorName: Adrià Amell
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Services:
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- Amazon S3
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- Title: How to use the data
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URL: https://github.com/SEE-GEO/roa?tab=readme-ov-file#3-how-to-use-the-data
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AuthorName: Adrià Amell
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Services:
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- Amazon S3
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Publications:
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- Title: Probabilistic near real-time retrievals of Rain over Africa using deep learning
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URL: https://doi.org/10.1029/2025JD044595
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AuthorName: Adrià Amell, Lilian Hee, Simon Pfreundschuh, and Patrick Eriksson
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DeprecatedNotice:
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ADXCategories:
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- Environmental Data

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