cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.653ca1
title: FAIRsharing record for: Human Reference Protein Interactome Mapping Project
title: HuRI

description: This FAIRsharing record describes:  The Human Reference Protein Interactome Mapping Project (HuRI) is a repository, created by the Center for Cancer Systems Biology (CCSB) at Dana-Farber Cancer Institute, which stores the data from the ongoing work on the first complete reference map of the human protein-protein interactome network. All pairwise combinations of human protein-coding genes are systematically being interrogated to identify which are involved in binary protein-protein interactions. HuRI has grown in several distinct stages primarily defined by the number of human protein-coding genes amenable to screening for which at least one Gateway-cloned Open Reading Frame (ORF) was available at the time of the project. Three proteome-scale human PPI datasets are available via HuRI. PPI datasets generated in systematic screens on smaller sets of our human ORF collection have also been included. Also included are all PPIs identified in screens using different protein isoforms from the same gene as generated by alternative splicing.
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.c7edd8
title: FAIRsharing record for: Human Genetic Variation Database
title: HGVD

description: This FAIRsharing record describes:  The Human Genetic Variation Database (HGVD) aims to provide a central resource to archive and display Japanese genetic variation and association between the variation and transcription level of genes. The database currently contains genetic variations determined by exome sequencing of 1,208 individuals and genotyping data of common variations obtained from a cohort of 3,248 individuals. The HGVD browser can be used to view allele and genotype frequencies, number of samples, coverages, and expression QTL (eQTL) significances.
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.hesbcy
title: FAIRsharing record for: Genomic Expression Archive
title: GEA

description: This FAIRsharing record describes:  Genomic Expression Archive (GEA) is a public database of functional genomics data such as gene expression, epigenetics and genotyping SNP array. Both microarray- and sequence-based data are accepted in the MAGE-TAB format in compliance with MIAME and MINSEQE guidelines, respectively. GEA issues accession numbers, E-GEAD-n to experiment and A-GEAD-n to array design.
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.0c6bc2
title: FAIRsharing record for: FlyAtlas 2
title: FlyAtlas 2

description: This FAIRsharing record describes:  FlyAtlas 2 is the RNA-Seq successor to the original FlyAtlas (which was based on microarray analysis). Specifically, FlyAtlas 2 now provides access to: transcript information, sex-specific data for adult somatic tissues, and micro-RNA genes. FlyAtlas2 supports search by gene, category or tissue; and functionality has been improved through mobile support and the option to download results in spreadsheet format. Gene coverage has been extended by the inclusion of microRNAs and many of the RNA genes included in Release 6 of the Drosophila reference genome. The web interface has been modified to accommodate the extra data, but at the same time has been adapted for viewing on small mobile devices. Users also have access to the RNA-Seq reads displayed alongside the annotated Drosophila genome in the (external) UCSC browser, and are able to link out to the previous FlyAtlas resource to compare the data obtained by RNA-Seq with that obtained using microarrays.
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.14c4ca
title: FAIRsharing record for: Fly-FISH
title: Fly-FISH

description: This FAIRsharing record describes:  Fly-FISH documents the expression and localization patterns of Drosophila mRNAs at the cellular and subcellular level during early embryogenesis and third instar larval tissues. A high-resolution, high-throughput fluorescence detection method is used to detect expressed mRNAs. The data can be accessed by searching the localization categories, searching for specific genes or browsing the list of tested genes.
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.9btrvc
title: FAIRsharing record for: China National GeneBank DataBase
title: CNGBdb

description: This FAIRsharing record describes:  The China National GeneBank database (CNGBdb) is a unified platform for biological big data sharing and application services. At present, CNGBdb has integrated a large amount of internal and external biological data from resources such as CNGB, NCBI, and the EBI. There are a number of sub databases in CNGBdb, including literature, variation, gene, genome, protein, sequence, organism, project, sample, experiment, run, and assembly. Based on underlying big data and cloud computing technologies, it provides various data services, including archive, analysis, knowledge search, management authorization of biological data. CNGBdb adopts data structures and standards of international omics, health, and medicine, such as The International Nucleotide Sequence Database Collaboration (INSDC), The Global Alliance for Genomics and Health GA4GH (GA4GH), Global Genome Biodiversity Network (GGBN), American College of Medical Genetics and Genomics (ACMG), and constructs standardized data and structures with wide compatibility. All public data and data services provided by CNGBdb are freely available to all users worldwide.
CNGB Sequence Archive (CNSA) is the bionomics data repository of CNGBdb.
CNGB Sequence Archive (CNSA) is a convenient and efficient archiving system of multi-omics data in life science, which provides archiving services for raw sequencing reads and further analyzed results. CNSA follows the international data standards for omics data, and supports online and batch submission of multiple data types such as Project, Sample, Experiment/Run, Assembly, Variation, Metabolism, Single cell, and Sequence. Moreover, CNSA has achieved the correlation of sample entities, sample information, and analyze data on some projects. Its data submission service can be used as a supplement to the literature publishing process to support early data sharing.
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.d1a667
title: FAIRsharing record for: Orphadata
title: Orphadata

description: This FAIRsharing record describes:  Orphadata provides the scientific community with comprehensive, quality datasets related to rare diseases and orphan drugs from the Orphanet knowledge base, in reusable formats.
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.q86asf
title: FAIRsharing record for: Regulatory Element Database for Drosophila
title: REDfly

description: This FAIRsharing record describes:  REDfly is a curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). REDfly seeks to include all experimentally verified fly regulatory elements along with their DNA sequence, their associated genes, and the expression patterns they direct.
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.91a79b
title: FAIRsharing record for: Collaborative OPen Omics
title: COPO

description: This FAIRsharing record describes:  Collaborative OPen Omics (COPO) is an online platform that serves as a metadata broker, facilitating the description of research data like reads, samples, images, sequence annotations, assemblies and data files in alignment with the FAIR (Findability, Accessibility, Interoperability and Reusability) principles.

By supporting various community-recognised metadata standards, data formats and Application Programming Interface (API) methods, COPO ensures that data is accurately described, discoverable and can be easily integrated across different systems. This promotes enhanced collaboration, better data management, and long-term preservation thereby, making scientific outputs more accessible and reusable for a wider audience.

Submitted data are stored in public repositories, enabling open access and ensuring that valuable research outputs are shared, reused, and built upon by the global research community. COPO integrates with key international data repositories promoting the open exchange of scientific data and advancing discoveries in various fields of life sciences.
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.ef9ca3
title: FAIRsharing record for: SignaLink
title: SignaLink

description: This FAIRsharing record describes:  SignaLink is an integrated resource to analyze signaling pathway cross-talks, transcription factors, miRNAs and regulatory enzymes. it allows browsing of signaling pathways, cross-talks and multi-pathway proteins; selection of transcriptional, post- transcriptional and post translational regulators of a signaling pathway; downloading of species- and pathway-specific information in several formats; designing of genetic/biochemical experiments to verify predicted pathway member proteins; modeling of tissue- or disease-specific signaling processes by merging SignaLink with expression data; and the discovering of novel signaling drug target candidates.
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.afc2b3
title: FAIRsharing record for: Docker Hub
title: Docker Hub

description: This FAIRsharing record describes:  Docker Hub is a library and community for sharing container images. It currently contains over 100,000 container images from software vendors, open-source projects, and the community. It has become a common way of sharing bioinformatics tools and resources in a way that reduces the difficulty of running these tools in a compute environment with the correct software dependencies.
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.hlkd2v
title: FAIRsharing record for: VizieR astronomical catalogue database
title: VizieR

description: This FAIRsharing record describes:  VizieR is a library of published astronomical catalogues --tables and associated data-- with verified and enriched data, accessible via multiple interfaces. Query tools allow the user to select relevant data tables and to extract and format records matching given criteria. To be deposited within VizieR, data must be related to a publication in a refereed journal, either as tables or catalogues actually published, or as a paper describing the data and their context. VizieR is certified by the CoreTrustSeal. DOI: 10.26093/cds/vizier
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.naam6c
title: FAIRsharing record for: Index of Exsiccatae
title: IndExs

description: This FAIRsharing record describes:  IndExs is a database comprising information on exsiccatae (=exsiccatal series) with titles, abbreviations, bibliography and provides a unique and persistent Exsiccata ID for each series. Exsiccatae are defined as "published, uniform, numbered sets of preserved specimens distributed with printed labels" (Pfister 1985). Please note that there are two similar latin terms: "exsiccata, ae" is feminine and used for a set of dried specimens as defined above, whereas the term "exsiccatum, i" is neutral and used for dried specimens in general. If available, images of one or more examplary labels are added to give layout information. IndExs is powered by the Diversity Workbench database framework.
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.o8cuj7
title: FAIRsharing record for: Educational Resource Discovery Index
title: ERuDIte

description: This FAIRsharing record describes:  ERuDIte is the educational resource discovery index that powers the BD2K Training Coordinating Center (TCC) Web Portal. ERuDIte not only serves as a resource collector and aggregator but also as a system powered by Machine Learning, Information Retrieval, and Natural Language Processing that intelligently organizes resources to provide a dynamic and personalized curriculum for biomedical researchers interested in learning about Data Science. ERuDIte provides the resource data that learners can discover on the TCC Web Portal. Over time, learners’ interactions with the TCC Web Portal will impact ERuDIte, forming a feedback cycle where both components improve each other and adapt to learners’ needs and demands. The blending of Artificial Intelligence techniques with highly targeted curation for resource discovery, retrieval, personalization, and organization distinguishes ERuDIte from MOOC aggregators and other resource collection initiatives.
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.otyqfw
title: FAIRsharing record for: WITHDRAWN: A Resource for Withdrawn and Discontinued Drugs
title: null

description: This FAIRsharing record describes:  WITHDRAWN is a database of withdrawn and discontinued drugs that were recalled from global markets due to safety concerns. The database serves as a useful resource with information about the therapeutic (or primary) targets, off-targets, toxicity types and biological pathways associated with the drugs in the database. Furthermore, genetic variations (SNPs) associated with the therapeutic and off-targets are presented within to shed light on the common genetic variations that could lead to toxicity and thereby to drug withdrawal or discontinuation in specific 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.6amtxc
title: FAIRsharing record for: Biodiversity Exploratories Information System
title: BExIS

description: This FAIRsharing record describes:  BExIS is the online data repository and information system of the Biodiversity Exploratories Project (BE). The BE is a German network of biodiversity related working groups from areas such as vegetation and soil science, zoology and forestry. Up to three years after data acquisition, the data use is restricted to members of the BE. Thereafter, the data is usually publicly available.
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.5pze7l
title: FAIRsharing record for: GlyTouCan
title: GlyTouCan

description: This FAIRsharing record describes:  The international glycan structure repository for glycans published in the literature. Any glycan structure, ranging in resolution from monosaccharide composition to fully defined structures can be registered and have an accession number assigned as long as there are no inconsistencies in the structure.
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.lone3g
title: FAIRsharing record for: e-cienciaDatos
title: e-cienciaDatos

description: This FAIRsharing record describes:  e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data. The purpose of this repository is to ensure data preservation and to facilitate data access and reuse. e-cienciaDatos collects datasets from of each of the member universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.
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.52da68
title: FAIRsharing record for: National Genomics Data Center Repository
title: NGDC

description: This FAIRsharing record describes:  The National Genomics Data Center of the Chinese Academy of Sciences provides a repository containing a number of resources in support of worldwide research activities in both academia and industry. With the vast amounts of multi-omics data generated at unprecedented scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big data integration and value-added curation. Resources with significant updates in the past year include BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Science Wikis (a catalog of biological knowledge wikis for community annotations) and IC4R (Information Commons for Rice). Newly released resources include EWAS Atlas (a knowledgebase of epigenome-wide association studies), iDog (an integrated omics data resource for dog) and RNA editing resources (for editome-disease associations and plant RNA editosome, respectively). To promote biodiversity and health big data sharing around the world, the Open Biodiversity and Health Big Data (BHBD) initiative is introduced. All of these resources are publicly accessible.
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.yedluf
title: FAIRsharing record for: Clinical Interpretation of Variants in Cancer
title: CIViC

description: This FAIRsharing record describes:  CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of inherited and somatic variants of all types. Realizing precision medicine will require information to be centralized, debated and interpreted for application in the clinic. CIViC is an open access, open source, community-driven web resource for Clinical Interpretation of Variants in Cancer. Our goal is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations.
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.