cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ncyd4x
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is one of (RIO GRaNdE dO SUL, Rio Grande do Sul, Rio Grande do Sul.)",
 "TaxonKey is Morphnus guianensis (Daudin, 1800)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003960-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27992414
title: Hidden Armour: The Passive Protective Function of Caudal Osteoderms in Snakes

description: We employed µCT scanning as a non-destructive method for detecting and visualizing hard tissue in rare species of snakes.
DOI: 10.15468/dl.gaw5ts
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is RIO GRaNdE dO SUL",
 "TaxonKey is Mackenziaena severa (Lichtenstein, 1823)"
 ]
}

 The dataset includes 68 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003961-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28432148
title: Prediction uploaded on February 17 regarding the outcome of the Atalanta/Club Brugge match on February 18.

description: Further details about the study are available at the following links:<br>https://osf.io/pcwah<br>https://osf.io/xsb9t
DOI: 10.6084/m9.figshare.28432148.v1
title: Prediction uploaded on February 17 regarding the outcome of the Atalanta/Club Brugge match on February 18.

description: Further details about the study are available at the following links:<br>https://osf.io/pcwah<br>https://osf.io/xsb9t
DOI: 10.6084/m9.figshare.26218037
title: Radiation Belt Electron Acceleration Inside the Plasmasphere

description: This is the dataset used to produce figures for the paper under review with the title of "Radiation Belt Electron Acceleration Inside the Plasmasphere".
DOI: 10.15468/dl.tegvce
title: Occurrence Download

description: A dataset containing 1507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alophia Herb."
 ]
}

 The dataset includes 1507 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003966-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mdcxm
title: Occurrence Download

description: A dataset listing the 1649 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora del Parque Nacional Cumbres de Monterrey, Nuevo León, México"
 ]
}

 The dataset's 1649 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003963-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e219803
title: FHFA: Conforming Loan Limit

description: Fannie Mae and Freddie Mac are restricted by law to purchasing 
single-family mortgages with origination balances below a specific 
amount, known as the “conforming loan limit” (CLL) value. Loans above 
this amount are known as jumbo loans.The national conforming loan
 limit value for mortgages that finance single-family one-unit 
properties increased from $33,000 in the early 1970s to $417,000 for 
2006-2008, with limit values 50 percent higher for four 
statutorily-designated high cost areas: Alaska, Hawaii, Guam, and the 
U.S. Virgin Islands. Since 2008, various legislative acts increased the
 conforming loan limit values in certain high-cost areas in the United 
States. While some of the legislative initiatives established temporary
 limit values for loans originated in select time periods, a permanent 
formula was established under the Housing and Economic Recovery Act of 
2008 (HERA). The 2025 c​onforming loan limit values have been set under
 the HERA formula. See the latest Conforming Loan Limit values news release here.<br><br>
DOI: 10.3886/e219803v1
title: FHFA: Conforming Loan Limit

description: Fannie Mae and Freddie Mac are restricted by law to purchasing 
single-family mortgages with origination balances below a specific 
amount, known as the “conforming loan limit” (CLL) value. Loans above 
this amount are known as jumbo loans.The national conforming loan
 limit value for mortgages that finance single-family one-unit 
properties increased from $33,000 in the early 1970s to $417,000 for 
2006-2008, with limit values 50 percent higher for four 
statutorily-designated high cost areas: Alaska, Hawaii, Guam, and the 
U.S. Virgin Islands. Since 2008, various legislative acts increased the
 conforming loan limit values in certain high-cost areas in the United 
States. While some of the legislative initiatives established temporary
 limit values for loans originated in select time periods, a permanent 
formula was established under the Housing and Economic Recovery Act of 
2008 (HERA). The 2025 c​onforming loan limit values have been set under
 the HERA formula. See the latest Conforming Loan Limit values news release here.<br><br>
DOI: 10.15468/dl.d8n3fp
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-74.70325 -12.91582,-74.08704 -12.91582,-74.08704 -12.29111,-74.70325 -12.29111,-74.70325 -12.91582))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 89 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003967-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14884629
title: Data files for "Variability of Earth's Magnetopause and Bow Shock Locations Modeled via Multi-Decade Solar Wind Observations"

description: The two zip files contain the contain the supporting data files for Yeakel et al., "Variability of Earth's Magnetopause and Bow Shock Locations Modelled via Multi-Decade Solar Wind Observations." For more information on the file contents, refer to README.
DOI: 10.5281/zenodo.14884630
title: Data files for "Variability of Earth's Magnetopause and Bow Shock Locations Modeled via Multi-Decade Solar Wind Observations"

description: The two zip files contain the contain the supporting data files for Yeakel et al., "Variability of Earth's Magnetopause and Bow Shock Locations Modelled via Multi-Decade Solar Wind Observations." For more information on the file contents, refer to README.
DOI: 10.15468/dl.zs6a5g
title: Occurrence Download

description: A dataset listing the 384 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "Geometry POLYGON((-75.58965 9.06705,-75.59243 8.80836,-75.26976 8.80744,-75.27625 9.06705,-75.58965 9.06705))"
 ]
}

 The dataset's 384 records were derived from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003965-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pntvyv
title: Occurrence Download

description: A dataset containing 2338784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Odonata",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 2338784 records from 203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003952-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7y9n4y
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is Sri Lanka",
 "TaxonKey is Caprimulgus indicus Latham, 1790",
 "Year 2000-2025"
 ]
}

 The dataset includes 117 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003970-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6wyfu
title: Occurrence Download

description: A dataset containing 142432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence, Living Specimen, Specimen, Fossil, Material sample, Material citation)",
 "Country is Iceland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (f6b48504-1651-4a49-a88d-c2bc6178694d, d3f94e8a-bb06-4d2b-89a6-6cd66abfa66c, 67b2263f-6990-4d9d-b32b-20aa72ef4fbc, 2089ce96-4fb5-4a20-999c-3ccf45a27a4d, 2e7df380-8356-4533-bcb3-5459e23c794e, 12308e00-4b80-11da-8809-b8a03c50a862)",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 142432 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003968-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xsycs
title: Occurrence Download

description: A dataset containing 2338784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OrderKey is Odonata",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 2338784 records from 203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003964-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8yfdj
title: Occurrence Download

description: A dataset listing the 17 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alophia Herb."
 ]
}

 The dataset's 17 records were derived from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003969-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w64xxy
title: Occurrence Download

description: A dataset containing 178993165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 178993165 records from 3162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003962-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.es4z42
title: Occurrence Download

description: A dataset containing 280731 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Valeriana officinalis L."
 ]
}

 The dataset includes 280731 records from 1585 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017112-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7tt9c
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Torquigener flavimaculosus Hardy & Randall, 1983",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 304 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017141-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0202996.10fu
title: SH0202996.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202997.10fu
title: SH0202997.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202998.10fu
title: SH0202998.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202999.10fu
title: SH0202999.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0203000.10fu
title: SH0203000.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0203001.10fu
title: SH0203001.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0203002.10fu
title: SH0203002.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0203003.10fu
title: SH0203003.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0203004.10fu
title: SH0203004.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.