cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.569caa
title: FAIRsharing record for: Biodiversity Data Journal - Data Publishing Guidelines
title: BDJ

description: This FAIRsharing record describes:  Biodiversity Data Journal (BDJ) is a community peer-reviewed, open access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables etc. – will be treated and stored as data, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers.
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: 10.12763/azrdrm/fxns6u
title: Monthly_rainfall_201610.tif
DOI: 10.12763/azrdrm/kjfhkt
title: Monthly_rainfall_197812.tif
DOI: 10.12763/azrdrm/kjonyl
title: Monthly_rainfall_198710.tif
DOI: 10.7483/opendata.cms.p865.a9fo
title: /LQToBEle_M-2700_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/azrdrm/iek42j
title: Monthly_rainfall_198704.tif
DOI: 10.25504/fairsharing.a9200d
title: FAIRsharing record for: African Union  Data Policy Framework
title: AU Data Policy Framework

description: This FAIRsharing record describes:  The Africa Data Policy Framework aims to strengthen national data systems for effective use of data by creating an enabling environment that stimulates innovation and entrepreneurialism to drive the development of data value-driven economies and that facilitates the interoperability of systems and cross border data flows necessary for the realising of the African single digital market.
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.ad40a6
title: FAIRsharing record for: ScRAPdb: an integrated pan-omics database for the Saccharomyces cerevisiae reference assembly panel
title: ScRAPdb

description: This FAIRsharing record describes:  As a unicellular eukaryote, the budding yeast Saccharomyces cerevisiae strikes a unique balance between biological complexity and experimental tractability, serving as a long-standing classic model for both basic and applied studies. Recently, S. cerevisiae further emerged as a leading system for studying natural diversity of genome evolution and its associated functional implication at population scales. Having high-quality comparative and functional genomics data is critical for such efforts. Here we exhaustively expanded the Telomere-to-Telomere (T2T) S. cerevisiae reference assembly panel (ScRAP) that we previously constructed for 142 strains to cover high-quality genome assemblies and annotations for 264 S. cerevisiae strains from diverse geographical and ecological niches and also 33 outgroup strains from the other Saccharomyces species described in the genus. We created a dedicated online database, ScRAPdb (https://www.evomicslab.org/db/ScRAPdb/), to host this expanded pangenome collection. On top of the pangenome, ScRAPdb also integrates a population-scale pan-omics atlas (pantranscriptome, panproteome, and panphenome) and rich data exploration toolkits for intuitive genomics analyses. All curated data and downstream analysis results could be easily downloaded from the database. We expect ScRAPdb to become a highly valuable platform for the yeast community and beyond, leading to a pan-omics understanding of the global genetic and phenotypic diversity. 
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.cbddbd
title: FAIRsharing record for: Heliophysics API
title: HAPI

description: This FAIRsharing record describes:  The Heliophysics Data Application Programmer’s Interface (HAPI) specification is a time series download and streaming format specification. A more detailed overview is given in Weigel et al. (2021). The HAPI specification was recommended by COSPAR in 2018 as the common data access API for space science and space weather data. 

When data are available from a HAPI server, there is no need to download data files and write custom file reader programs. Using a HAPI client library, data can be loaded into an array using a single command using HAPI IDL, Javascript, Java, MATLAB, and Python clients. Data from HAPI servers is also accessible to users of Autoplot, PySPEDAS, and IDL SPEDAS. Sample scripts and containing instructions for accessing data using the above–listed clients may be found by selecting a server, dataset, and time range at the web interface http://hapi-server.org/servers/.

A list of HAPI-compliant data servers is available at http://hapi-server.org/servers/.

The hapi-server GitHub project (https://github.com/hapi-server) contains a collection of repositories for HAPI–related software and documentation, including client and server libraries and code for verifying and testing a HAPI server.
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: 10.12763/azrdrm/cvcgph
title: Monthly_rainfall_195208.tif
DOI: 10.12763/azrdrm/k5nlnm
title: Monthly_rainfall_200903.tif
DOI: 10.25504/fairsharing.5fc288
title: FAIRsharing record for: Springer Nature - BMC Medical Genomics - Manuscript Guidance
title: BMC Medical Genomics

description: This FAIRsharing record describes:  BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genetics and genomics, genome structure, genome-scale population genetics, epigenetics and epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease. Submission of a manuscript to a BMC journal implies that materials described in the manuscript, including all relevant raw data, will be freely available to any scientist wishing to use them for non-commercial purposes, without breaching participant confidentiality.
For all journals, BMC strongly encourages that all datasets on which the conclusions of the paper rely should be available to readers, and where there is a community established norm for data sharing, BMC mandates data deposition (for data types with required deposition, see below). This journal recommends 1) the resources listed directly within this record, and 2) all resources listed in this record's parent policies (see the "extends" relationship). 
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: 10.12763/azrdrm/fwwwu3
title: Monthly_rainfall_196701.tif
DOI: 10.25504/fairsharing.8ac890
title: FAIRsharing record for: Genomics informatics — Data elements and their metadata for describing the microsatellite instability (MSI) information of clinical massive parallel DNA sequencing
title: ISO/TS 4425:2023

description: This FAIRsharing record describes:  This document identifies data elements and metadata to represent the information about microsatellite instability (MSI) for reporting the value of the biomarker using clinical massive parallel DNA sequencing.
This document covers information about the MSI test result and related data, such as used resources, data generation condition, and data processing information which are helpful to clinical diagnosis and 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: 10.7483/opendata.cms.y4bn.2249
title: /LQToBEle_M-2700_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/azrdrm/1znbhx
title: Monthly_rainfall_201406.tif
DOI: 10.12763/azrdrm/le4kym
title: Monthly_rainfall_201412.tif
DOI: 10.25504/fairsharing.f0a646
title: FAIRsharing record for: University College Cork Research Data Management Policy
title: UCC RDM Policy

description: This FAIRsharing record describes:  University College Cork (UCC) recognises the importance of good research data management practices, and further acknowledges that they are fundamental to both high quality research and research integrity. Research data is a valuable product of research activity that assists in promoting open enquiry and debate, complementing research outputs and publications, providing research transparency, and justifying research outcomes.

The purpose of the Research Data Management (RDM) policy is to provide a framework for the management of research data to ensure that it is stored, retained, made available for use and reuse, and disposed of according to best international practices for data management. In doing this it ensures compliance with the requirements of the funding bodies.
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: 10.12763/azrdrm/bbdrdn
title: Monthly_rainfall_191705.tif
DOI: 10.25504/fairsharing.e8d96c
title: FAIRsharing record for: Springer Nature - BioMed Central - Editorial Policies
title: null

description: This FAIRsharing record describes:  BMC publishes over 250 journals across biology, health sciences and medicine.
Submission of a manuscript to a BMC journal implies that materials described in the manuscript, including all relevant raw data, will be freely available to any scientist wishing to use them for non-commercial purposes, without breaching participant confidentiality.

For all journals, BMC strongly encourages that all datasets on which the conclusions of the paper rely should be available to readers, and where there is a community established norm for data sharing, BMC mandates data deposition (for data types with required deposition, see below). 

We encourage authors to ensure that their datasets are either deposited in publicly available repositories (where available and appropriate) or presented in the main manuscript or additional supporting files, in machine-readable format (such as spreadsheets rather than PDFs) whenever possible.  This journal publisher recommends 1) the resources listed directly within this record, and 2) all resources listed in this record's parent policies (see the "extends" relationship). 
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: 10.12763/azrdrm/rpojui
title: Monthly_rainfall_193106.tif
DOI: 10.12763/azrdrm/zjei6e
title: Monthly_rainfall_193112.tif
DOI: 10.25504/fairsharing.06bca2
title: FAIRsharing record for: University of Galway Research Data Management Policy
title: University of Galway RDM Policy

description: This FAIRsharing record describes:  The aim of this policy is to advise University of Galway staff engaged in research on their responsibilities with regard to data collected/stored as part of a research project in which University of Galway staff/students are engaged in, and the supports that are available for same, and to ensure that research data is managed in line with Data Protection Regulations. The policy covers all research related data generated, collected and processed by University of Galway staff as part of a project, which is led or contributed to by University of Galway staff/students.
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: 10.12763/azrdrm/yiuob9
title: Monthly_rainfall_191711.tif
DOI: 10.25504/fairsharing.b2399f
title: FAIRsharing record for: health Data CATalogue - Application Profile
title: healthDCAT-AP

description: This FAIRsharing record describes:  HealthDCAT-AP (https://github.com/healthDCAT-AP) is a health-related extension of the DCAT 3.0.0 application profile for sharing information about Catalogues containing Datasets and Data Services descriptions in Europe (DCAT-AP 3.0.0). It is used as metadata standard in the European Health Data Space (EHDS, https://www.european-health-data-space.com).
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: 10.7483/opendata.cms.kd1e.cmr4
title: /LQToBEle_M-2700_single_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/azrdrm/vjllca
title: Monthly_rainfall_190802.tif
DOI: 10.25504/fairsharing.55db21
title: FAIRsharing record for: Quantitative assembly standards
title: EBP1

description: This FAIRsharing record describes:  The Earth Biogenome Project (EBP) sequencing and assembly standards committee proposes different standards for the assembly of genomes from three groups of organisms. 
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: 10.12763/azrdrm/0c6skf
title: Monthly_rainfall_193310.tif
DOI: 10.12763/azrdrm/azwmfr
title: Monthly_rainfall_191507.tif
DOI: 10.25504/fairsharing.f50cc0
title: FAIRsharing record for: IVOA Vocabulary: Unified Astronomy Thesaurus (IVOA rendering)
title: IVOA-UAT

description: This FAIRsharing record describes:  This is a re-publication of the Unified Astronomy Thesaurus (see https://astrothesaurus.org), in particular using human-readable URIs and with availability in Desise.
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: 10.12763/azrdrm/mferxg
title: Monthly_rainfall_193304.tif
DOI: 10.25504/fairsharing.9ebc85
title: FAIRsharing record for: Genomics informatics — Data elements and their metadata for describing the tumor mutation burden (TMB) information of clinical massive parallel DNA sequencing
title: ISO/TS 4424:2023

description: This FAIRsharing record describes:  This document identifies data elements and metadata to represent the information about tumor mutation burden (TMB) when reporting the value for the biomarker using clinical massive parallel DNA sequencing.
This document covers the TMB status and related metadata such as mutation type, sequencing types, and target areas of sequencing from human samples for clinical practice and 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: 10.7483/opendata.cms.9xyh.58k7
title: /LQToBEle_M-2700_single_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/azrdrm/o6a0b3
title: Monthly_rainfall_193502.tif
DOI: 10.12763/azrdrm/wtkrue
title: Monthly_rainfall_192807.tif
DOI: 10.25504/fairsharing.487703
title: FAIRsharing record for: Minimum Information about a Genome Sequences: EUkaryote
title: MIxS - MIGS-EU

description: This FAIRsharing record describes:  MIxS - MIGS-EU (Minimum information about a Genome Sequences: EUkaryote) is a checklist that is a part of the larger MIxS standard. MIxS, or the Minimum Information about any (X) Sequence, is a standard for describing the contextual information about the sampling and sequencing of any genomic sequence. Each checklist includes the required, recommended and optional metadata fields for a specific type of genomic sequence. This checklist concerns eukaryotic genome sequences.
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: 10.12763/azrdrm/6imr3m
title: Monthly_rainfall_192608.tif
DOI: 10.25504/fairsharing.998c4c
title: FAIRsharing record for: Unified Astronomy Thesaurus
title: UAT

description: This FAIRsharing record describes:  The Unified Astronomy Thesaurus (UAT) is an open, interoperable and community-supported thesaurus being developed to unify the existing divergent and isolated Astronomy & Astrophysics thesauri into a single high-quality, freely-available open-source thesaurus which will be of immediate value to both research and research support, and provide a mechanism for reviewing, discussing and evaluating the continuous evolution of terminology in these fields.
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: 10.12763/azrdrm/butviy
title: Monthly_rainfall_194912.tif
DOI: 10.12763/azrdrm/cwis1s
title: Monthly_rainfall_191301.tif
DOI: 10.25504/fairsharing.8dc5ff
title: FAIRsharing record for: Minimum Information about a Genome Sequences: Plasmid
title: MIxS - MIGS-Pl

description: This FAIRsharing record describes:  MIxS - MIGS-Pl (Minimum information about a Genome Sequences: Plasmid) is a checklist that is a part of the larger MIxS standard. MIxS, or the Minimum Information about any (X) Sequence, is a standard for describing the contextual information about the sampling and sequencing of any genomic sequence. Each checklist includes the required, recommended and optional metadata fields for a specific type of genomic sequence. This checklist concerns plasmid sequences.
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: 10.7483/opendata.cms.nn1a.6wba
title: /LQToBEle_M-2800_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/azrdrm/pilcrv
title: Monthly_rainfall_194906.tif
DOI: 10.25504/fairsharing.ee7dba
title: FAIRsharing record for: Framework for Open and Reproducible Research Training - Replication Database
title: FORRT FReD

description: This FAIRsharing record describes:  FORRT’s Replication Database (FReD) is a community-augmented, quantitative, meta-analytical interface of one of the most comprehensive collections of original and replication findings, including Replications and Reversals and large scale projects such as Many Labs or Registered Replication Reports. Via ReD, students, researchers, and applicants can create summaries of replication findings, search replications, investigate correlates of replicability, and automatically check for replications in reference lists.
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: 10.12763/azrdrm/eqhcfl
title: Monthly_rainfall_194709.tif
DOI: 10.12763/azrdrm/gcgvzb
title: Monthly_rainfall_190209.tif
DOI: 10.12763/azrdrm/yhrqar
title: Monthly_rainfall_191103.tif
DOI: 10.25504/fairsharing.638f73
title: FAIRsharing record for: UCL Research Data Policy
title: null

description: This FAIRsharing record describes:  The University College London (UCL) Research Data Policy 2024 governs the way staff and students at the university manage data created or assembled during the course of their research. It defines what constitutes 'research data' and 'research data management', setting out the intention that data created as part of the research process are FAIR - Findable, Accessible, Interoperable and Reusable. The Policy sets out a number of statements defining how data should be managed, and indicates the responsibilities of different groups of people within the university, including those of supervisors, heads of department, UCL Library Services, and UCL's centre for Advanced Research Computing (ARC).
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.f0aee1
title: FAIRsharing record for: Research Data Framework (RDaF)
title: RDaF

description: This FAIRsharing record describes:  The NIST Research Data Framework (RDaF) is a multifaceted and customizable tool that aims to help shape the future of open data access and research data management (RDM). The RDaF will allow organizations and individual researchers to develop their own RDM strategy. The RDaF is a map of the research data space that uses a lifecycle approach with six stages to organize key information concerning RDM and research data dissemination. Through a community-driven and in-depth process, NIST identified and defined specific, high-priority topics and subtopics for each lifecycle stage.
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: 10.7483/opendata.cms.9b4j.v4yt
title: /LQToBEle_M-2800_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/azrdrm/399zc7
title: Monthly_rainfall_190208.tif