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The National Earth Observation Science Data Center, whose predecessor was the National Integrated Earth Observation Data Sharing Platform, has formed a sustainable, cross-agency, one-stop data sharing service capability after years of construction, and it is also the main channel for international exchange of remote sensing data in China. In the future, it will manage and coordinate scientific data resources in the field of earth observation on behalf of the country, and build a national-level earth observation big data infrastructure. Coordinate various industry data centers, scientific research institutions and enterprises in the field of Earth observation in China to cooperate in building a national strategic, fundamental, scientific, internationalized, and independent and controllable scientific big data environment in the field of Earth observation. On the basis of the already formed data ecology and cooperation mechanism, data sharing services, and international data cooperation, we will actively expand to the whole life cycle management of data and carry out data management work such as the collection, management, analysis and mining, and sharing services of national scientific data resources for Earth observation. Form a unified technical support system and data sharing service environment for Earth observation data in China. Maintain and enhance its international influence and become a domestic and international first-class scientific data center for Earth observation!
The Comparative Political Data Set 1960-2018 (CPDS) is a collection of political and institutional data which have been assembled in the context of the research projects “Die Handlungsspielräume des Nationalstaates” and “Critical junctures. An international comparison” directed by Klaus Armingeon and funded by the Swiss National Science Foundation. This data set consists of (mostly) annual data for 36 democratic OECD and/or EU-member coun-tries for the period of 1960 to 2018. In all countries, political data were collected only for the democratic periods. The data set is suited for cross-national, longitudinal and pooled time-series analyses.
This centre receives and archives precipitation chemistry data and complementary information from stations around the world. Data archived by this centre are accessible via connections with the WDCPC database. Freely available data from regional and national programmes with their own Web sites are accessible via links to these sites. The WDCPC is one of six World Data Centres in the World Meteorological Organization Global Atmosphere Watch (GAW). The focus on precipitation chemistry is described in the GAW Precipitation Chemistry Programme. Guidance on all aspects of collecting precipitation for chemical analysis is provided in the Manual for the GAW Precipitation Chemistry Programme (WMO-GAW Report No. 160).
arrayMap is a repository of cancer genome profiling data. Original) from primary repositories (e.g. NCBI GEO, EBI ArrayExpress, TCGA) is re-processed and annotated for metadata. Unique visualization of the processed data allows critical evaluation of data quality and genome information. Structured metadata provides easy access to summary statistics, with a focus on copy number aberrations in cancer entities.
This database provides structural information on all of the Zeolite Framework Types that have been approved by the Structure Commission of the International Zeolite Association (IZA-SC).
<<<!!!<<< Retirement of UniProt Metagenomic and Environmental Sequences (UniMES): UniProt has retired UniMES as there is now a resource at the EBI that is dedicated to serving metagenomic researchers. Henceforth, we recommend using the EBI Metagenomics portal instead https://www.ebi.ac.uk/metagenomics/ . In addition to providing a repository of metagenomics sequence data, EBI Metagenomics allows you to view functional and taxonomic analyses and to submit your own samples for analysis. >>>!!!>>> The UniProt Metagenomic and Environmental Sequences (UniMES) database is a repository specifically developed for metagenomic and environmental data. We provide UniMES clusters in order to obtain complete coverage of sequence space at different resolutions.