cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.5a3bc5
title: FAIRsharing record for: International Clinical Trials Registry Platform Search Portal
title: ICTRP

description: This FAIRsharing record describes:  The WHO International Clinical Trials Registry Platform (ICTRP) registry platform and clinical trial Search Portal aims to provide a single point of access to information about ongoing and completed clinical trials to ensure that a complete view of research is accessible to all those involved in health care decision making. Global health and scientific community access is provided through a centralized database system containing primary clinical trial registrations from primary data providers in the WHO Registry Network in facilitating unambiguous identification of clinical trials and links to full original study records. In May 2022, the Seventy-fifth World Health Assembly adopted a resolution (WHA75.8) on “Strengthening clinical trials to provide high-quality evidence on health interventions and to improve research quality and coordination”. The WHO secretariat has developed this webpage in order to provide a single point of access for information and resources of relevance to resolution WHA 75.8. This includes initiatives and guidances highlighted to WHO as part of the public consultation held related to WHA 75.8 in October and November 2022. This webpage will be updated as activities related to the resolution progress.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.xcvp6a
title: FAIRsharing record for: Extracellular RNA Atlas
title: exRNA Atlas

description: This FAIRsharing record describes:  The exRNA Atlas is the data and metadata repository of the Extracellular RNA Communication Consortium (ERCC), an NIH Common Fund initiative to learn more about exRNAs in a variety of different contexts. The exRNA Atlas includes small RNA sequencing and qPCR-derived exRNA profiles from human and mouse biofluids. All RNA-seq datasets are processed using version 4 of the exceRpt small RNA-seq pipeline. ERCC-developed quality metrics are uniformly applied to the datasets. The exRNA Atlas accepts submissions for RNA-seq or qPCR data.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.dff3ef
title: FAIRsharing record for: Electron Microscopy Public Image Archive
title: EMPIAR

description: This FAIRsharing record describes:  EMPIAR, the Electron Microscopy Public Image Archive, is a public resource for raw images underpinning 3D cryo-EM maps and tomograms (themselves archived in EMDB). EMPIAR also accommodates 3D datasets obtained with volume EM techniques and soft and hard X-ray tomography.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.1b3329
title: FAIRsharing record for: PROtein-protein compleX MutAtion ThErmodynamics Database
title: PROXiMATE

description: This FAIRsharing record describes:  PROXiMATE is a database of thermodynamic data for more than 6000 missense mutations in 174 heterodimeric protein-protein complexes, supplemented with interaction network data from STRING database, solvent accessibility, sequence, structural and functional information, experimental conditions and literature information. Additional features include complex structure visualization, search and display options, download options and a provision for users to upload their data.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.29ehm2
title: FAIRsharing record for: database of Disease-Gene Associations with annotated Relationships
title: eDGAR

description: This FAIRsharing record describes:  The database of Disease-Gene Associations with annotated Relationships (eDGAR) is a database for collecting and organizing the data on gene/disease associations as derived from OMIM, Humsavar and ClinVar. For each heterogeneous or polygenic disease, eDGAR provides information on the relationship among the proteins encoded by the involved genes, including transcription factors and protein-protein interactions.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.60127f
title: FAIRsharing record for: Refractive Index Database
title: null

description: This FAIRsharing record describes:  Refractive Index database hosted on the refractiveindex.info website is a searchable database of refractive constants for different elements and materials.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.a58029
title: FAIRsharing record for: PsychData
title: PsychData

description: This FAIRsharing record describes:  A collection of pyschological research data available to the research community.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.eivzjw
title: FAIRsharing record for: National Omics Data Encyclopedia
title: NODE

description: This FAIRsharing record describes:  NODE (The National Omics Data Encyclopedia) provides an integrated, compatible, comparable, and scalable multi-omics resource platform that supports flexible data management and effective data release.  NODE uses a hierarchical data architecture to support storage of muti-omics data including sequencing data, MS based proteomics data, MS or NMR based metabolomics data, and fluorescence imaging data.
Launched in early 2017, NODE has collected and published over 900 terabytes of omics data for researchers from China and all over the world in last three years, 22% of which contains multiple omics data. NODE provides functions around the whole life cycle of omics data, from data archive, data requests/responses to data sharing, data analysis, data review and publish.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.tnbyog
title: FAIRsharing record for: ClinicalStudyDataRequest.com
title: CSDR

description: This FAIRsharing record describes:  ClinicalStudyDataRequest.com (CSDR) is a consortium of clinical study Sponsors/Funders. It is a leader in the data sharing community inspired to drive scientific innovation and improve medical care by facilitating access to patient-level data from clinical studies. CSDR seeks to be the researcher-preferred and trusted platform for responsible sharing of high quality patient-level data for the purpose of facilitating innovative data-driven research leading to improvements in patient care. This will be accomplished through the facilitation of the responsible sharing of patient-level data from a range of clinical study Sponsors/Funders through a researcher-friendly platform, utilizing industry leading practices, including an independent review of proposals and protection of patient privacy and confidentiality.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.de0cef
title: FAIRsharing record for: Geochemical Earth Reference Model
title: GERM

description: This FAIRsharing record describes:  Geochemical Earth Reference Model contains summary data on the geochemistry of all reservoirs in the Earth. All search results are customizable, allowing the user to sort and convert units and to download the data in a format of your choice with one click. This relational database only includes peer-reviewed data.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.ynxb7a
title: FAIRsharing record for: Algorithm Selection Library
title: ASlib

description: This FAIRsharing record describes:  A benchmark library for algorithm selection problems in AI, with a standard data format and tools to work with the format. This record describes the project repository, which contains data sets retrieved from literature. However, new algorithm selection scenarios can be submitted by opening a pull request in the repository. A very simple starter script is also provided to generate a ASlib scenarios from two csv files with runtime data and instance features.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.zz0lii
title: FAIRsharing record for: Brainbase
title: Brainbase

description: This FAIRsharing record describes:  Brainbase is a data management, collaboration and sharing platform for the human neuroscience community.  The platform provides private research collaboration workspaces, tools to flexibly organize and track subjects and sessions within studies, validation tools to check that metadata and datasets are complete and public sharing tools. Publicly shared data is searchable. FAIRsharing has marked this record as Uncertain because the homepage for Brainbase (https://brainbase.io) now sits behind a login screen, and therefore we cannot accurately assess the status of the resource. If you have any information on this resource, please get in touch.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.76044b
title: FAIRsharing record for: Database of Genomic Variants
title: DGV

description: This FAIRsharing record describes:  The Database of Genomic Variants (DGV) is a publicly accessible, comprehensive curated catalogue of structural variation (SV) found in the genomes of control individuals from worldwide populations.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.dc0fa4
title: FAIRsharing record for: Magnetics Information Consortium
title: MagIC

description: This FAIRsharing record describes:  The Magnetics Information Consortium (MagIC) is an open community digital data archive for rock and paleomagnetic data with portals that allow users access to archive, search, visualize, and download these data.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.680cdb
title: FAIRsharing record for: Agrisemantics Map of Data Standards
title: null

description: This FAIRsharing record describes:  The Agrisemantics Map of Data Standards database is a continuation of the VEST Registry started on the FAO AIMS website and includes metadata from the AgroPortal ontology repository. The registry covers all types of vocabularies in any format, ranging from description metadata sets (XML schemas, RDFS schemas, application profiles…) to KOSs of different types (classifications, thesauri, ontologies…). Domain coverage is broad, ranging from food and agricultural data to generic vocabularies (for e.g. bibliographic references) to vocabularies from neighbouring disciplines (e.g. climate). Agrisemantics is conceived as a metadata catalog, providing descriptions and categorization of standards and links to the original website and original serialization of the standard.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.7c0ave
title: FAIRsharing record for: Human Pluripotent Stem Cell Registry
title: hPSCreg

description: This FAIRsharing record describes:  The human pluripotent stem cell registry (hPSCreg) is a public registry and data portal for human embryonic and induced pluripotent stem cell lines (hESC and hiPSC). The Registry provides comprehensive and standardized biological and legal information as well as tools to search and compare information from multiple hPSC sources and hence addresses a translational research need. To facilitate unambiguous identification over different resources, hPSCreg automatically creates a unique standardized name for each cell line registered. In addition to biological information, hPSCreg stores extensive data about ethical standards regarding cell sourcing and conditions for application and privacy protection. hPSCreg is the first global registry that holds both, manually validated scientific and ethical information on hPSC lines, and provides access by means of a user-friendly, mobile-ready web application.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.b012a8
title: FAIRsharing record for: International information system for the agricultural science and technology
title: AGRIS

description: This FAIRsharing record describes:  The International System for Agricultural Science and Technology (AGRIS) is a multilingual bibliographic database that connects users directly to a rich collection of research and worldwide technical information on food and agriculture. Maintained by the Food and Agriculture Organization of the United Nations (FAO), AGRIS has been serving users from developed and developing countries through facilitating access to knowledge in agriculture, science and technology since 1975.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.c55d5e
title: FAIRsharing record for: GitHub
title: GitHub

description: This FAIRsharing record describes:  GitHub Inc. is a Git-based software repository that provides version control. It offers all of the distributed version control and source code management (SCM) functionality of Git as well as adding its own features. It provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for each project. It provides a number of different access levels, from free through to paid services.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.lysimd
title: FAIRsharing record for: Mass Spectrometry Interactive Virtual Environment
title: MassIVE

description: This FAIRsharing record describes:  MassIVE is a worldwide mass spectrometry data repository integrated into a flexible, scalable, user-friendly framework offering a diverse set of data analysis algorithms and tools. MassIVE is a  mass spectrometry community resource data repository, developed the Center for Computational Mass Spectrometry (CCMS), designed to store, browse, redistribute, re-analyze and integrate all publicly available mass spectrometry data in promoting globally accessible and free exchange of mass spectrometry data. The MassIVE data repository provides reliable sharing of primary data in addition to offering user-friendly tools for advanced data analysis and visualization.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.ormcpd
title: FAIRsharing record for: Scientific Data ISA-explorer
title: null

description: This FAIRsharing record describes:  ISA-explorer stores information in the ISA-Tab metadata format to facilitate dataset discovery for the journal Scientific Data. Published Scientific Data ISA-Tab files can be easily read and explored via this repository. The ISA model records the data’s provenance, how it was generated and where it is located – all prerequisites of publication with Scientific Data. The ISA-Tab metadata file is used to generate the Structured Summary table that appears after the abstract in every Data Descriptor article.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.5vtygg
title: FAIRsharing record for: SILVA
title: SILVA

description: This FAIRsharing record describes:  SILVA is a comprehensive, quality-controlled web resource for up-to-date aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains alongside supplementary online services. In addition to data products, SILVA provides various online tools such as alignment and classification, phylogenetic tree calculation and viewer, probe/primer matching, and an amplicon analysis pipeline. With every full release a curated guide tree is provided that contains the latest taxonomy and nomenclature based on multiple references. The SILVA curation team is now part of Bergey’s Trustees and the Protist Reference Taxonomy Project UniEuk, which will further improve the quality of SILVA taxonomy. In order to cope with the dramatic expansion of bacterial and archaeal phyla, we have also teamed up with phylogenomic taxonomy efforts (i.e. Genome Taxonomy Database). SILVA is an ELIXIR Core Data Resource.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.s09se7
title: FAIRsharing record for: CaltechDATA
title: CaltechDATA

description: This FAIRsharing record describes:  CaltechDATA is an institutional data repository for Caltech. Caltech library runs the repository to preserve the accomplishments of Caltech researchers and share their results with the world. Caltech-associated researchers can upload data, link data with their publications, and assign a permanent DOI so that others can reference the data set. The repository also preserves software and has automatic Github integration. All files present in the repository are open access or embargoed, and all metadata is always available to the public.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.aie9sa
title: FAIRsharing record for: Allosteric Mutation Analysis and Polymorphism of Signaling database
title: AlloMAPS

description: This FAIRsharing record describes:  The AlloMAPS database provides data on the energetics of communication in proteins with well-documented allosteric regulation, allosteric signalling in PDBselect chains, and allosteric effects of mutations. In addition to energetics of allosteric signaling between known functional and regulatory sites, allosteric modulation caused by the binding to these sites, by SNPs, and by mutations designated by the user can be explored. Allosteric Signaling Maps (ASMs), which are produced via the exhaustive computational scanning for stabilizing and destabilizing mutations and for the modulation range caused by the sequence position are available for each protein/protein chain in the database.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.