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Reflective Cloud Hub Community Data Uploads

We encourage Reflective Cloud Hub users to add datasets that will be useful to other members of the research community to the shared S3 bucket under their username. This form gathers some information on the uploaded data so we can let others know what is available.

Datasets smaller than 100GB: any completed dataset of relevance to the SRM community is welcome. pPease fill out the form below, so we can keep track of the available data. Then go ahead and upload!

For data larger than 100GB: Reflective will decide on a case-by-case basis whether to store the data on the cloud. For these datasets, please fill out the form below, and we will get back to you with a decision on whether we can store the data on the hub.

Decisions on storage will be based on the dataset’s expected scientific impact and alignment with Reflective’s ethos of transparent, reproducible SRM research. Ongoing cloud storage is relatively costly, and so we are unlikely to store datasets larger than ~1TB without a compelling case for widespread use (e.g. new GeoMIP experiments). Where possible, we encourage use of dedicated archives like Zenodo to generate a permanent, DOI’d version of datasets, in addition to Reflective Cloud storage. The purpose of our storage is to facilitate easy access to data on the cloud, not to be an authoritative data publisher. We intend to maintain the data for a minimum of 3 years, and will notify users 6 months in advance of any dataset removal. Note that this is not a permanent archive, and Reflective makes no commitment to maintain longer-term access, public access, or to back-up the data.

Basic information

Name

Email

Affiliation

Data overview

Dataset name

Data source (e.g. GCM model name, or satellite name)

Dataset size, in GB

Variables in the dataset, and their temporal and spatial resolution

Brief description of the dataset (e.g. information on gridding, timespan covered, scenario/experiment definitions etc.)

(optional) Further information and useful links, including any of the following, where appropriate

Code/scripts for generating data, Model Documentation, DOIs, Any special licensing requirements, How to acknowledge

(If > 100GB) please give a short explanation of why the data would be of use to the community, why the resolution/extent etc. is required, and where possible, give one or more examples of known researchers who would like to use the data via the Reflective Cloud