cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.9f60e7
title: FAIRsharing record for: HUPO Proteomics Standards Initiative
title: HUPO-PSI

description: This FAIRsharing record describes:  The Proteomics Standards Initiative (PSI) is part of the Human Proteome Organisation (HUPO) and was initially founded at the Human Proteome Initiative Workshop in April 2002 (hosted by the NIH/NCI and FDA in Bethesda, MD, USA). HUPO PSI defines community standards for data representation in proteomics and interactomics to facilitate data comparison, exchange and verification. The HUPO PSI has a subsidiary role supporting other HUPO projects and working groups, aiming to ensure collaboration and consistency in the data management approaches taken by the HUPO proteomics initiatives. Organizational working groups for the Proteomics Standards Initiative are organized into the following work groups:  Molecular Interactions (MI), Mass Spectrometry (MS), Proteomics Informatics (PI), Protein Modifications (MOD), and Protein Separation (PS). The Human Proteome Organization is a 501(c)(3) tax exempt non-profit organization registered in the state of New Mexico (© 2001-2022 HUPO | all rights reserved).
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: 10.3886/e232681
title: Public Health Insurance Expansions and Non-Physician Providers: Evidence from Certified Nurse Midwives

description: This study considers whether the Affordable Care Act (ACA) Medicaid Expansions resulted in changes in the use of non-physician providers. Medicaid Expansions may have impacted both payments to providers as well as insurance availability for patients. Using U.S. birth certificate records, we analyze whether the ACA Medicaid expansions influenced the trade-off between physicians and certified nurse-midwives (CNMs/CMs) for obstetric care. Our findings indicate that the ACA Medicaid expansions led to an increase in the utilization of CNMs/CMs and a decrease in physician-reported deliveries. This shift from physicians to CNMs/CMs is particularly noticeable in states with Medicaid reimbursement parity for CNMs/CMs. These results suggest that health insurance expansions may increase the use of non-physician providers, but only in cases where non-physician providers are reimbursed similarly to physicians. <br><br>Note that this project includes the code only as the data is restricted access.
DOI: 10.3886/e232681v1
title: Public Health Insurance Expansions and Non-Physician Providers: Evidence from Certified Nurse Midwives

description: This study considers whether the Affordable Care Act (ACA) Medicaid Expansions resulted in changes in the use of non-physician providers. Medicaid Expansions may have impacted both payments to providers as well as insurance availability for patients. Using U.S. birth certificate records, we analyze whether the ACA Medicaid expansions influenced the trade-off between physicians and certified nurse-midwives (CNMs/CMs) for obstetric care. Our findings indicate that the ACA Medicaid expansions led to an increase in the utilization of CNMs/CMs and a decrease in physician-reported deliveries. This shift from physicians to CNMs/CMs is particularly noticeable in states with Medicaid reimbursement parity for CNMs/CMs. These results suggest that health insurance expansions may increase the use of non-physician providers, but only in cases where non-physician providers are reimbursed similarly to physicians. <br><br>Note that this project includes the code only as the data is restricted access.
DOI: 10.25504/fairsharing.3a0ae0
title: FAIRsharing record for: InterMine Repository Collection
title: InterMine

description: This FAIRsharing record describes:  InterMine integrates biological data sources, making it easy to query and analyse data. It is open-source software system that cab be installed on your own servers to make data available on the web. There are many InterMines worldwide, covering a broad range of model organisms and life science research areas.
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.013dfa
title: FAIRsharing record for: International Virtual Observatory Alliance 
title: IVOA

description: This FAIRsharing record describes:  The Virtual Observatory (VO) is the vision that astronomical datasets and other resources should work as a seamless whole. Many projects and data centres worldwide are working towards this goal. The International Virtual Observatory Alliance (IVOA) is an organisation that debates and agrees the technical standards that are needed to make the VO possible. It also acts as a focus for VO aspirations, a framework for discussing and sharing VO ideas and technology, and body for promoting and publicising the VO. This collection lists the documents & standards agreed by IVOA.
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.xn7sup
title: Occurrence Download

description: A dataset containing 1874 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ainsliaea acerifolia var. subapoda Nakai"
 ]
}

 The dataset includes 1874 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037842-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjkjey
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Plantae",
 "HasCoordinate is true",
 {
 "not" : {
 "Issue" : [
 "is Continent coordinate mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Continent derived from coordinates"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate accuracy invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate out of range"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate precision invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate precision/uncertainty mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate reprojected"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate reprojection failed"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate reprojection suspicious"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate rounded"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate uncertainty meters invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country derived from coordinates"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Geodetic datum assumed WGS84"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Geodetic datum invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed negated latitude"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed negated longitude"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed swapped coordinate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Zero coordinate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The scientific name differs on the record from that found in the checklist"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The scientific name ID was not found in the checklist"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The taxon concept ID was not found in the checklist"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The taxon ID was not found in the checklist"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match aggregate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match fuzzy"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match higher rank"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The backbone match found using the taxon IDs differs from what would be found if using the scientific names"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match none"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The scientific name ID was not used in backbone matching"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The taxon concept ID was not used in backbone matching"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The taxon ID was not used in backbone matching"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037839-250525065834625/datasets/export for details.
DOI: 10.25504/fairsharing.a76758
title: FAIRsharing record for: ISO 20691 - Requirements for data formatting and description in the life sciences
title: ISO 20691

description: This FAIRsharing record describes:  ISO is a worldwide federation of national standards bodies. The ISO Technical Committee ISO/TC 276 has a set of Working Groups (WG) working on standardization in the field of biotechnology processes; and WG5 focuses on Data Processing and Integration. One major ISO standard developed by this group is ISO 20691 Biotechnology — Requirements for data formatting and description in the life sciences. The document specifies requirements and rules for the consistent formatting and documentation of data and metadata in the life sciences and biotechnology, including biomedical research and non-human biological research and development; it covers manual or computational workflows. This Collection includes the standards detailed in the annexes of ISO 20691 as examples of common formats for life science data (annex A), as well as minimum reporting standards for data, models and metadata (annex B), and serves as a curated 'live' list to search and discover these standards, their use by repositories, as well as their evolution over time.
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.mgd3ww
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lycosa pseudoannulata Fox, 1935"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037838-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14869962
title: Supplementary information for 'Investigating aquitard heterogeneity by inverse groundwater modelling at a drinking water production site', van Leer et al. (2025)

description: Input data and results for the paper  'Investigating aquitard heterogeneity by inverse groundwater modelling at a drinking water production site' by van Leer et al., 2025 https://doi.org/10.1016/j.envsoft.2025.106554
DOI: 10.5281/zenodo.14869963
title: Supplementary information for 'Investigating aquitard heterogeneity by inverse groundwater modelling at a drinking water production site', van Leer et al. (2025)

description: Input data and results for the paper  'Investigating aquitard heterogeneity by inverse groundwater modelling at a drinking water production site' by van Leer et al., 2025 https://doi.org/10.1016/j.envsoft.2025.106554
DOI: 10.15468/dl.fvkn9a
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is Kenya",
 "OccurrenceStatus is Present",
 "TaxonKey is Balearica regulorum (E.T.Bennett, 1834)"
 ]
}

 The dataset includes 67 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037844-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54fx7t
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-249.45694 -49.68052,-199.05694 -49.68052,-199.05694 -4.60753,-249.45694 -4.60753,-249.45694 -49.68052))",
 "HasGeospatialIssue is false",
 "TaxonKey is Forficula auricularia Linnaeus, 1758"
 ]
}

 The dataset includes 204 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037843-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xycwm9
title: Occurrence Download

description: A dataset containing 12950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "VerbatimScientificName is Francolinus pictus"
 ]
}

 The dataset includes 12950 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037846-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wr8wxs
title: Occurrence Download

description: A dataset containing 174897 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany"
 ]
}

 The dataset includes 174897 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037840-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzypkn
title: Occurrence Download

description: A dataset containing 2367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.2544 -34.54905,-71.23701 -34.54816,-71.22147 -34.54913,-71.2297 -34.54029,-71.23483 -34.53912,-71.24895 -34.5396,-71.25637 -34.54461,-71.2544 -34.54905))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2367 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037848-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhvkvx
title: Occurrence Download

description: A dataset containing 1874 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ainsliaea acerifolia var. subapoda Nakai"
 ]
}

 The dataset includes 1874 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037849-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12140071
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15646640
title: DR___
DOI: 10.5281/zenodo.15646641
title: DR___
DOI: 10.25504/fairsharing.7cbcb7
title: FAIRsharing record for: ELIXIR Core Data Resources and Deposition Databases
title: ELIXIR CDRs and DDs

description: This FAIRsharing record describes:  ELIXIR unites Europe’s leading life science organisations in managing and safeguarding the increasing volume of data being generated by publicly funded research. It coordinates, integrates and sustains bioinformatics resources across its member states and enables users in academia and industry to access services that are vital for their research. The ELIXIR Data Platform provides users with sustainable data resources within a coordinated and scalable data ecosystem. This collection includes the members of the ELIXIR Core Data Resources (European data resources that are of fundamental importance to research in the life sciences and are committed to the long-term preservation of data) and ELIXIR Deposition Databases (repositories recommended for the deposition of life sciences experimental 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: 10.15468/dl.ndxqdf
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is Kenya",
 "TaxonKey is Balearica regulorum (E.T.Bennett, 1834)"
 ]
}

 The dataset includes 67 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037851-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.c206a5
title: FAIRsharing record for: AIRR Data Commons
title: AIRRDataCommons

description: This FAIRsharing record describes:  The AIRR Data Commons consists of the network of distributed repositories that adhere to the standards set out by the AIRR Community. This collection contains standards and repositories either created by the AIRR community or approved for use within the AIRR 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: 10.15468/dl.8jctn7
title: Occurrence Download

description: A dataset containing 3087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((10.46087 47.70176, 9.724939 46.84965, 10.99559 46.67926, 11.24371 46.917, 11.99546 46.94217, 12.48316 46.56019, 13.04937 46.67839, 12.83443 47.50451, 12.36599 47.81407, 11.29726 47.5088, 10.46087 47.70176))",
 "TaxonKey is one of (Ardea cinerea Linnaeus, 1758)"
 ]
}

 The dataset includes 3087 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037850-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.241524
title: FAIRsharing record for: Department of Energy Office of Science Public Reusable Research Data Resources
title: SC PuRe Data Resource

description: This FAIRsharing record describes:  Public Reusable Research (PuRe) Data is a designation for key data repositories, knowledge bases, analysis platforms, and other activities that strive to make data publicly available to advance scientific or technical knowledge. Spanning the range of the DOE Office of Science (SC) mission, these data resources include a data center for atmospheric data and model products, data repositories and knowledge bases for biological and environmental research, and a materials database for physical sciences. Each resource is an authoritative provider of data or capabilities in their respective subject area. Together, these high-quality public resources play a strategic role in advancing the SC mission while making data easier to find, access, and reuse across the broader scientific community. Designation as a PuRe Data Resource does more than simply recognize the importance of these investments -- it carries the weight of SC stewardship. SC manages these resources under an oversight model with high standards for data management, resource operations, and scientific impact. The designated PuRe Data Resources go above and beyond the standard SC requirements for data management plans and act as community leaders in data stewardship.
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.70a3a8
title: FAIRsharing record for: Research Metadata Schema Crosswalk Mappings to Schema.org
title: null

description: This FAIRsharing record describes:  The RDA Research Metadata Schemas Working Group has collected and aligned crosswalks from 15 source research metadata schemas to Schema.org. The source schemas include discipline agnostic schemas Dublin Core, Data Catalogue Vocabulary(DCAT), Data Catalogue Vocabulary - Application Profile (DCAT-AP), Registry Interchange Format - Collections and Services (RIF-CS), DataCite Schema, Dataverse; and discipline schemas ISO 19115-1, EOSC/EDMI, Data Tag Suite (DATS), Bioschemas, B2FIND, Data Documentation Initiative (DDI), European Clinical Research Infrastructure Network (ECRIN), Space Physics Archive Search and Extract (SPASE); as well as CodeMeta for software.


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.28df52
title: FAIRsharing record for: Protist Ribosomal Reference Database 
title: PR2

description: This FAIRsharing record describes:  The PR2 reference sequence database began as part of the BioMarks project from previous work in the Plankton Group of the Station Biologique of Roscoff. It aims to provide a reference database of carefully annotated 18S rRNA sequences using nine unique taxonomic fields (from domain to species). At present, it contains over 240,000 sequences. Although it focuses on protists, it also contains sequences from metazoa, fungi and plants as well a limited set of 16S sequences from plastids and bacteria. Several metadata fields are available for many sequences, including geo-localisation, whether it originates from a culture or a natural sample, and host type. The annotation of PR2 is performed by experts in each of the taxonomic groups. 
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.751813
title: FAIRsharing record for: AI4Life
title: null

description: This FAIRsharing record describes:  This collection includes the repositories, standards and databases provided by the AI4Life consortium.
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.