The IDS Repository is the research data repository at the Leibniz-Institut für Deutsche Sprache in Mannheim. It aims at long-term archival of linguistic resources and tools in the field of German studies, providing data together with metadata in Dublin Core and CMDI formats. The IDS is a member of CLARIN and the national CLARIN-D.
Comprehensive Large Array-data Stewardship System
CLASS is NOAA's digital library and information technology system for long-term preservation and standards-based access to environmental data collections. It holds real-time and historical satellite data from polar-orbiting and geostationary satellites, including POES, DMSP, JPSS, GOES-R Series, MetOp, Jason-2, Jason-3 and GCOM-W data, plus selected model reanalysis data. The system runs in AWS Cloud.
Uses
- long-term, secure preservation and standards-based access to environmental data collections Source: www.class.noaa.gov
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0The IDS Repository is the research data repository at the Leibniz-Institut für Deutsche Sprache in Mannheim. It aims at long-term archival of linguistic resources and tools in the field of German studies, providing data together with metadata in Dublin Core and CMDI formats. The IDS is a member of CLARIN and the national CLARIN-D.
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0Dataset repository covering history, with searchable datasets.
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0ReSpecTh is an information system of the MTA-ELTE Complex Chemical Systems Research Group at Eötvös Loránd University, Budapest. It covers reaction kinetics, spectroscopy and thermochemistry, holding indirect combustion measurements, gas phase rate coefficients, combustion mechanisms and analysis codes. Registration is required to access most content; the spectroscopy data moved to the MARVEL website.
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0Browse public datasets, metadata and downloadable records in an open catalog.
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0The Materials Data Facility (MDF) is a service for publishing, discovering and accessing materials science datasets. It supports minting DOIs for datasets and offers curated collections covering simulations, experimental data and machine-learning-ready data. Data can be uploaded from local storage, Globus endpoints or Google Drive, and datasets can be loaded with a Python package.
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0Vivli is a global clinical research data-sharing platform that facilitates scientific sharing and reuse of clinical research data. Researchers can search for studies and submit requests to access data from clinical trials; members contribute studies. Some members require enquiries via their own portals, and most members do not share studies before the primary completion date.
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