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Found 659 result(s)
Launched in December 2013, Gaia is destined to create the most accurate map yet of the Milky Way. By making accurate measurements of the positions and motions of stars in the Milky Way, it will answer questions about the origin and evolution of our home galaxy. The first data release (2016) contains three-dimensional positions and two-dimensional motions of a subset of two million stars. The second data release (2018) increases that number to over 1.6 Billion. Gaia’s measurements are as precise as planned, paving the way to a better understanding of our galaxy and its neighborhood. The AIP hosts the Gaia data as one of the external data centers along with the main Gaia archive maintained by ESAC and provides access to the Gaia data releases as part of Gaia Data Processing and Analysis Consortium (DPAC).
Country
Geoscientific Data & Discovery Publishing Center (GDD) is based on the geological scientific data generated globally, establishing policies and systems for the scientific data publishing, absorbing the concepts and methods of international open data, and joint Digital Object Unique Identifier-DOI registration agencies to provide standard data reference formats and permanent access address for data references, doing publishing through the Internet platform, which combines innovation and advance. GDD mainly includes data descriptor and entity data publishing. The data papers describe entity data and corresponding metadata information. The entity data includes common shared data such as geographic information, geologic maps, and databases, and also includes multiple data types, such as documents, archive records, data forms and other multimedia formed during geological work, various data-centric applications, database interface services, and typical data services.
EIDA, an initiative within ORFEUS, is a distributed data centre established to (a) securely archive seismic waveform data and related metadata, gathered by European research infrastructures, and (b) provide transparent access to the archives by the geosciences research communities. EIDA nodes are data centres which collect and archive data from seismic networks deploying broad-band sensors, short period sensors, accelerometers, infrasound sensors and other geophysical instruments. Networks contributing data to EIDA are listed in the ORFEUS EIDA networklist (http://www.orfeus-eu.org/data/eida/networks/). Data from the ORFEUS Data Center (ODC), hosted by KNMI, are available through EIDA. Technically, EIDA is based on an underlying architecture developed by GFZ to provide transparent access to all nodes' data. Data within the distributed archives are accessible via the ArcLink protocol (http://www.seiscomp3.org/wiki/doc/applications/arclink).
The Heritage Centre represents the four keepers of historical collections of the municipality of Zutphen: Archeology, Monuments, Museum Zutphen, Regional Archive Zutphen (includes the municipalities of Brummen and Lochem) This portal means to be the online gateway to the municipal heritage in Zutphen and wants to provide you with the opportunity to search all their collections at once.
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The Universidad del Rosario Research data repository is an institutional iniciative launched in 2019 to preserve, provide access and promote the use of data resulting from Universidad del Rosario research projects. The Repository aims to consolidate an online, collaborative working space and data-sharing platform to support Universidad del Rosario researchers and their collaborators, and to ensure that research data is available to the community, in order to support further research and contribute to the democratization of knowledge. The Research data repository is the heart of an institutional strategy that seeks to ensure the generation of Findable, Accessible, Interoperable and Reusable (FAIR) data, with the aim of increasing its impact and visibility. This strategy follows the international philosophy of making research data “as open as possible and as closed as necessary”, in order to foster the expansion, valuation, acceleration and reusability of scientific research, but at the same time, safeguard the privacy of the subjects. The platform storage, preserves and facilitates the management of research data from all disciplines, generated by the researchers of all the schools and faculties of the University, that work together to ensure research with the highest standards of quality and scientific integrity, encouraging innovation for the benefit of society.
DMU Figshare is De Montfort University's institutional research data management platform. It showcases research from staff at the university.
The BioCyc database collection of Pathway/Genome Databases (PGDBs) provides a reference on the genomes and metabolic pathways of thousands of sequenced organisms. BioCyc PGDBs are generated by software that predict the metabolic pathways of completely sequenced organisms, predict which genes code for missing enzymes in metabolic pathways, and predict operons. BioCyc also integrates information from other bioinformatics databases, such as protein feature and Gene Ontology information from UniProt. The BioCyc website provides a suite of software tools for database searching and visualization, for omics data analysis, and for comparative genomics and comparative pathway questions. From 2016 on, access to the EcoCyc and MetaCyc databases will remain free. Subscriptions to the other 7,600 BioCyc databases will be available to institutions (e.g., libraries), and to individuals. Access to licensed databases via: https://biocyc.org/Product-summary.shtml.