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Found 6 result(s)
The Database of Protein Disorder (DisProt) is a curated database that provides information about proteins that lack fixed 3D structure in their putatively native states, either in their entirety or in part. DisProt is a community resource annotating protein sequences for intrinsically disorder regions from the literature. It classifies intrinsic disorder based on experimental methods and three ontologies for molecular function, transition and binding partner.
Country
The Mediterranean Germplasm Database (MGD) is the digital twin of the agri-food plant seed collection (Mediterranean Germplasm Genebank - MGG) maintained at the Institute of Biosciences and BioResources (IBBR) of the Italian National Research Council (CNR) in Bari, Italy. Overall, the collection preserves more than 59,000 accessions of 870 species from 203 genera and 39 families (mainly Poaceae, Fabaceae, Solanaceae, Brassicaceae, Asteraceae, etc.). Over 13,000 samples have been directly collected through time and georeferenced by IBBR exploration teams, while others have been acquired from other Institutions through exchange activities. The main objective of MGG is the preservation of genetic resources of herbaceous plants of interest for the Mediterranean agriculture. Particular attention is dedicated to specific segments of plant genetic resources, such as local varieties (including "typical products") or endangered agro-ecotypes, wild relatives of crops and plants potentially useful for the extraction of bioactive or biotechnological compounds. The main commitments of MGG since 1970 are: (i) the collection, conservation and distribution of PGR; (ii) the characterization and evaluation of PGRs and the analysis of their genetic structure; (ii) the selection and pre-breeding of PGR, and the recognition of useful genes.
ARES (Aerosol Remote Sensing) is the ACTRIS (Aerosol, Cloud and Trace Gases Research Infrastructure) Data Centre unit for aerosol remote sensing profiling. ACTRIS-ARES host and manage the ACTRIS-EARLINET database, that represents a comprehensive, quantitative, and statistically significant collection of data for the aerosol distribution on European scale. ARES provides data curation, data processing and data access services for ACTRIS aerosol remote sensing data coming from lidar and photometer observations. Additionally, ARES hosts and manage the EARLINET web site and offers data services and digital tools to EARLINET and beyond. Major objectives also include the development and validation of new synergetic remote sensing algorithms, and the continuous evaluation of the representation of atmospheric aerosol parameters in climate and weather forecast models.
Country
The Italian Archive of Historical Earthquake Data ASMI (Archivio Storico Macrosismico Italiano) provides access to data on more than 6500 Italian earthquakes in the period 461 b.C to 2020, deriving from more than 430 seismological studies. For each earthquake, different kinds of studies are accessible, giving a wide perspective on the multiplicity of the available information.
San Raffaele Open Research Data Repository (ORDR) is an institutional platform which allows to safely store, preserve and share research data. ORDR is endowed with the essential characteristics of trusted repositories, as it ensures: a) open or restricted access to contents, with persistent unique identifiers to enable referencing and citation; b) a comprehensive set of Metadata fields to enable discovery and reuse; c) provisions to safeguard integrity, authenticity and long-term preservation of deposited data.
BOARD (Bicocca Open Archive Research Data) is the institutional data repository of the University of Milano-Bicocca. BOARD is an open, free-to-use research data repository, which enables members of University of Milano-Bicocca to make their research data publicly available. By depositing their research data in BOARD researchers can: - Make their research data citable - Share their data privately or publicly - Ensure long-term storage for their data - Keep access to all versions - Link their article to their data