cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.d7622d
title: FAIRsharing record for: FAIR Signposting
title: null

description: This FAIRsharing record describes:  FAIR Signposting is an intentionally simple, standards-based, RESTful "follow your nose" approach to help software agents navigate among the various resources that make up a research artifact on the web. FAIR Signposting does so by revealing the topology of the research artifact by means of unambiguously typed links that interconnect its various constituent web resources. The typed links reveal what the persistent identifier of a research artifact is, what the type of artifact it is, where its landing page is, where its content resources are and of which kind they are, where metadata that describes the artifact in which format can be found, what the persistent identifier of its authors is, which license applies to it. The approach is not descriptive (i.e. not metadata driven) but navigational (i.e. URI/link driven), allowing a software agent to find a pathway from one resource that is part of a research artifact to another, in order to accomplish a task at hand. The link types that are used are IANA-registered. The links can be conveyed using a Link Set,  HTTP Link headers, or HTML links.
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: 10.15468/dl.yryh6h
title: Occurrence Download

description: A dataset containing 5340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Frangula alnus Mill.",
 "Geometry POLYGON((-105 38, -80 38, -80 58, -105 58, -105 38))"
 ]
}

 The dataset includes 5340 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020666-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.0a42a6
title: FAIRsharing record for: Databrary
title: null

description: This FAIRsharing record describes:  Databrary is a restricted access data library that is specialized for storing, streaming, and sharing video and audio recordings collected as research data or documentation. Databrary supports sharing of many types of research data and documentation beyond video and audio. Based at New York University, Databrary's mission is to support data sharing among researchers in the behavioral, social, educational, developmental, neural, and computer 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.738b9c
title: FAIRsharing record for: CancerModels.Org
title: CancerModels.Org

description: This FAIRsharing record describes:  CancerModels.Org is a cancer research platform that aggregates clinical, genomic and functional data from various types of patient-derived cancer models (PDCMs)- xenografts, organoids and cell lines. Currently, the portal has over 7000 PDCMs across multiple cancer types, including rare paediatric models and models from minority ethnic backgrounds. The CancerModels.Org standardises, harmonises and integrates clinical metadata, molecular and treatment-based data from academic and commercial providers worldwide. It is the largest open access and free to consumer resource of this kind. 
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.96bc13
title: FAIRsharing record for: Antibodypedia
title: null

description: This FAIRsharing record describes:  Antibodypedia is an open access, online antibody database relevant to antibodies against human proteins supported by experimental results and publications. The Antibodypedia database structure is organized in a ‘gene-centric’ manner to provide users with an overview of all antibodies available against a particular target and displays for each antibody available validation and publications in which the antibody was used. Each antibody is ranked in the database according to an evidence-based scoring system.
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.d81f99
title: FAIRsharing record for: Repositorio de Datos Académicos UNR
title: RDA-UNR

description: This FAIRsharing record describes:  The Academic Data Repository of the National University of Rosario (RDA- UNR) allows for sharing, storing, accessing, exploring, and citing research data managed by UNR professors, researchers and students so as to make these data visible and promote its use and reutilization, ensuring its long-term preservation. It is a self-publishing repository, i.e. users upload, organize, describe and publish their own data with the assistance of a team of curators, user guides and training sessions.
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.97367f
title: FAIRsharing record for: EUI COVID-19 SSH Data Portal
title: null

description: This FAIRsharing record describes:  The EUI COVID-19 SSH Data Portal provides integrated search, discovery, and linking to datasets published on the web relevant for COVID-19-related research in the Social Sciences and Humanities. The COVID-19 SSH Data Portal is an initiative of the European University Institute.
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.49265f
title: FAIRsharing record for: IAnimal: A cross-species omics knowledgebase for animals
title: IAnimal

description: This FAIRsharing record describes:  IAnimal is a cross-species, multi-omics knowledgebase. It provides comprehensive structured multi-omics data for a wide range of animal species, abundant omics data mining and visualization tools, and intelligent integration analysis algorithms for multi-omics data. In the present version, IAnimal provides 61,191 WGS, RNA-Seq, ChIP-Seq, and ATAC-Seq individual information and genome annotation information for 21 species, such as mouse, pig, cow, chicken, and which the scale of clean data reaches about 846.46 TB. In order to better understand the biological significance of omics information, IAnimal built a deep learning model based on BioBERT and AutoNER to mine 'gene' and 'trait entity from the abstracts of 2,794,237 research papers, and this is helpful for users to understand how each different omics layer regulates genes to affect the traits.
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.d01843
title: FAIRsharing record for: gutMDisorder
title: null

description: This FAIRsharing record describes:  gutMDisorder is a comprehensive and user-friendly database for gut microbial dysbiosis under various phenotypes and therapeutic interventions from literature and raw data in human and mouse.
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.fb99fa
title: FAIRsharing record for: terms4FAIRskills
title: T4FS

description: This FAIRsharing record describes:  terms4FAIRskills terminology is designed to capture the necessary competencies, skills and knowledge associated with how to make data FAIR and to keep it FAIR. terms4FAIRskills terms can be implemented to serve a variety of use-case applications such as 1) creation and assessment of stewardship curricula, 2) annotation for the discovery and evaluation of various FAIR-enabling materials/resources (e.g.training, etc.), and 3) formalisation of job descriptions and CVs for recognising structured FAIR competencies for hire. User integrations include implementations from the FAIR Cookbook, FAIRsFAIR Competency Centre, FAIRassist, and Semaphora. terms4FAIRskills provides user flexibility for terms by FAIR trainers for FAIR data skills, researchers and/or data managers working to identify FAIR gaps for teams requiring support, managers recruiting specific FAIR implementation competencies, and developments leveraging FAIR competency-based reward structures and training plans.
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.2331ef
title: FAIRsharing record for: EDomics: Comparative multi-omics database for animal Evo-Devo
title: EDomics

description: This FAIRsharing record describes:  EDomics contains comprehensive genomes, bulk transcriptomes, and single-cell data across 40 representative species, many of which are generally used as model organisms for animal evolutionary developmental biology (evo-devo) study. EDomics provides a systematic view of genomic/transcriptomic information from various aspects, including genome assembly statistics, gene features and families, transcription factors, transposable elements, and gene expressional profiles/networks. It also exhibits spatiotemporal gene expression profiles at a single-cell level, such as cell atlas, cell markers, and spatial-map information. Moreover, EDomics provides highly valuable, customized datasets/resources for evo-devo research, including gene family expansion/contraction, inferred core gene repertoires, macrosynteny analysis for karyotype evolution, and cell type evolution analysis. EDomics presents a comprehensive and comparative multi-omics platform for animal evo-devo community to decipher the whole history of developmental evolution across the tree of life.
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.3fd2da
title: FAIRsharing record for: eccDNAdb
title: null

description: This FAIRsharing record describes:  eccDNAdb currently includes 1270 eccDNAs, which were identified in 480 samples (of 42 cancers) after analyzing a total number of 3395 tumor samples (of 57 cancers) including patient tissues, patient-derived xenografts, and cancer cell lines. A total number of 54,901 eccDNA genes were annotated and included in the database as well. With the integration of gene expression, clinical information and chromatin accessibility data, eccDNAdb enables users to easily determine the biological function and clinical relevance of eccDNAs in human cancers.
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.a32823
title: FAIRsharing record for: FerrDb V2
title: FerrDb

description: This FAIRsharing record describes:  FerrDb V2 contains 1001 ferroptosis regulators and 143 ferroptosis-disease associations manually curated from 3288 articles. Specifically, there are 621 gene regulators, of which 264 are drivers, 238 are suppressors, 9 are markers, and 110 are unclassified genes; and there are 380 substance regulators, with 201 inducers and 179 inhibitors. Compared to FerrDb V1, curated articles increase by > 300%, ferroptosis regulators increase by 175%, and ferroptosis-disease associations increase by 50.5%. Circular RNA and pseudogene are novel regulators in FerrDb V2, and the percentage of non-coding RNA increases from 7.3% to 13.6%. External gene-related data were integrated, enabling thought-provoking and gene-oriented analysis in FerrDb V2.
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.ab645a
title: FAIRsharing record for: Public Health Scotland COVID-19 Research Repository
title: null

description: This FAIRsharing record describes:  The COVID-19 Research Repository has been developed by Public Health Scotland (PHS) with an aim to bring together and provide access to Scottish COVID-19 research on a single shared platform in order to promote Scottish research to an international audience.

The main objectives of the repository are to:

    -make research easier to find
    -raise awareness of Scottish research
    -track, understand and report on the impact of this work
   - reduce duplication of effort
    -encourage a collaborative, cross-sectoral approach to COVID-19 research in Scotland
    -provide full-text open access to research wherever possible
    -ensure permanent preservation of PHS research
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.cfe09b
title: FAIRsharing record for: DDI Agency Identifier
title: null

description: This FAIRsharing record describes:  The DDI Agency Identifier is part of a free globally-unique identifier system for metadata-producing organizations. In concert with the DDI Agency Registry, the DDI Agency Identifier acts as both a namespace in a globally-unique id and a pointer for distributed service resolution.
Based on ISO/IEC 11179 Part 6 International Registration Data Identifiers (11179 IRDIs), DDI agency identifiers are used as the Registration Authority (11179 RA) in a IRDI and in DDI URNs.
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.601a27
title: FAIRsharing record for: RADAR
title: null

description: This FAIRsharing record describes:  RADAR offers publicly funded research institutions and universities in Germany an infrastructure for the publication and archiving of digital research data independent of discipline and format. The administration of the institutional RADAR environment, the individual workflows for uploading, organising and annotating the research data with metadata as well as the curation of the datasets and optional quality assurance through peer review are the responsibility of the using institution. RADAR is developed by FIZ Karlsruhe - Leibniz Institute for Information Infrastructure and is operated exclusively on servers in Germany. Three RADAR variants are available to best meet institutional needs, technical resources and the desired level of integration. The use of RADAR Cloud does not require any technical infrastructure at the using institutions; archived and published research data are stored in three copies at two locations. In the RADAR Hybrid and RADAR Local variants, own IT resources can be integrated. All RADAR contracts are subject to German law. 
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.6e2b28
title: FAIRsharing record for: The European Organization for Nuclear Research Open Science Policy
title: CERN Open Science Policy

description: This FAIRsharing record describes:  The CERN Open Science Policy is related to what is described in the CERN Convention, reaffirmed in the update of the European Strategy for Particle Physics in 2020. The CERN Open Science Policy recognise the importance of the research data from CERN, embracing and promoting practices making scientific research more open, collaborative, and responsive to societal changes. The CERN Open Data Policy encourages the research processes and tools fostering international collaborations; supports new and innovative research practices and procedures; enables free dissemination of knowledge and access to research outputs; requires open access to publications and associated metadata; encourages facilitation of data sharing and analysis software; supports the sharing of software and hardware design resources under an appropriate open-source license for free use; enables knowledge preservation supporting reusability and reproducibility of scientific deliverables; supports citizen science and the development of open training and education resources to the research community; builds and maintains the necessary infrastructures to support open science consortiums; fosters new skills and developments for new incentives that support open science practices.
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.e26f92
title: FAIRsharing record for: RADAR Metadata Schema
title: null

description: This FAIRsharing record describes:  The RADAR metadata schema is a list of core metadata properties chosen for the accurate and consistent description of research data archived or published in the cross-disciplinary RADAR research data repository. It is based on the DataCite metadata schema kernel, a widely used standard for describing research datasets in a discipline-agnostic way, and is compatible with DublinCore. It provides a combination of controlled lists and free text fields. It contains 10 mandatory fields as a prerequisite for DOI registration in accordance with the DataCite metadata schema and 13 optional parameters that are transferable to different scientific disciplines.
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.f73143
title: FAIRsharing record for: Research Organization Registry ID Schema
title: ROR ID

description: This FAIRsharing record describes:  The Research Organization Registry (ROR) ID schema is the specification of the identifier for institutions in ROR. ROR is a global, community-led registry of open persistent identifiers for research organizations. ROR makes it easy for anyone or any system to disambiguate institution names and connect research organizations to researchers and research outputs.
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: 10.15468/dl.7s5jv8
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ravenala madagascariensis Sonn.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020667-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vt3ftw
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Global compendium of Aedes aegypti occurrence",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020655-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jp4t6
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paraliparis paucidens Stein, 1978",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 29 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020668-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrdwdh
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhamnus cathartica L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 32 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020672-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8qd83
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "PublishingCountry is Norway",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 104 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020669-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.