cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.45e85g
title: Occurrence Download

description: A dataset containing 2840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyparrhenia diplandra (Hack.) Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 2840 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000498-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yr9wdm
title: Occurrence Download

description: A dataset containing 66691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Eriotheca Schott & Endl., Pachira Aubl., Pseudobombax Dugand, Ceiba Mill., Bombax L., Rhodognaphalon (Ulbr.) Roberty)"
 ]
}

 The dataset includes 66691 records from 937 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000496-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14051322
title: Brazilian Rhythmic Instruments Dataset (BRID)

description: The Brazilian Rhythmic Instruments Dataset (BRID) is a curated collection of audio recordings featuring traditional Brazilian rhythmic instruments, developed for Music Information Retrieval (MIR) research. It comprises 367 tracks, including 274 solo and 93 multi-instrument recordings, encapsulating ten instrument classes and five primary Brazilian rhythm styles: samba, partido alto, samba-enredo, capoeira, and marcha. BRID is suitable to study rhythm, beat tracking, and rhythmic pattern recognition in Brazilian music.
DOI: 10.5281/zenodo.14051323
title: Brazilian Rhythmic Instruments Dataset (BRID)

description: The Brazilian Rhythmic Instruments Dataset (BRID) is a curated collection of audio recordings featuring traditional Brazilian rhythmic instruments, developed for Music Information Retrieval (MIR) research. It comprises 367 tracks, including 274 solo and 93 multi-instrument recordings, encapsulating ten instrument classes and five primary Brazilian rhythm styles: samba, partido alto, samba-enredo, capoeira, and marcha. BRID is suitable to study rhythm, beat tracking, and rhythmic pattern recognition in Brazilian music.
DOI: 10.5281/zenodo.14046963
title: Revised direct band gap and band parameters for AlP: hybrid-functional first-principles calculations vs. experiment

description: Raw data and plotting scripts associated with the paper:Cónal Murphy, Eoin P. O'Reilly and Christopher A. Broderick, "Revised direct band-gap and band parameters for AlP: hybrid-functional first-principles calculations vs. experiment", APL Mater. (2024) (undergoing revision)Tyndall National Institute, Lee Maltings, Dyke Parade, University College Cork, Cork T12 R5CP, IrelandSchool of Physics, University College Cork, Cork T12 YN60, Ireland
DOI: 10.5281/zenodo.14046964
title: Revised direct band gap and band parameters for AlP: hybrid-functional first-principles calculations vs. experiment

description: Raw data and plotting scripts associated with the paper:Cónal Murphy, Eoin P. O'Reilly and Christopher A. Broderick, "Revised direct band-gap and band parameters for AlP: hybrid-functional first-principles calculations vs. experiment", APL Mater. (2024) (undergoing revision)Tyndall National Institute, Lee Maltings, Dyke Parade, University College Cork, Cork T12 R5CP, IrelandSchool of Physics, University College Cork, Cork T12 YN60, Ireland
DOI: 10.15468/dl.wjj3zd
title: Occurrence Download

description: A dataset containing 412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyparrhenia dregeana (Nees) Stapf ex Stent",
 "Continent is Africa"
 ]
}

 The dataset includes 412 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000501-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xs49ck
title: Occurrence Download

description: A dataset containing 18746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Canada",
 "GadmGid is CAN.1.16.4_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Troglodytes aedon Vieillot, 1809",
 "Year 2013-2024"
 ]
}

 The dataset includes 18746 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000502-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ammz9k
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thomasomys notatus Thomas, 1917"
 ]
}

 The dataset includes 45 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000503-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfbr6z
title: Occurrence Download

description: A dataset containing 697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyparrhenia familiaris (Steud.) Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 697 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000504-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsnzqq
title: Occurrence Download

description: A dataset listing the 4004738 species recorded in GBIF matching the query:
{ }

 The dataset's 4004738 records were derived from 68688 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000414-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umdg2c
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Fulcaldea laurifolia (Bonpl.) Poir."
 ]
}

 The dataset includes 75 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000505-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v29284
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is one of (United States of America, Canada, Mexico)",
 "Year is greater than or equal to 1921",
 "Year is less than or equal to 1940",
 "TaxonKey is Lygodium japonicum (Thunb.) Sw."
 ]
}

 The dataset includes 19 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000506-241107131044228/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.27629706
title: Research Integrity Training — Needs and provisions in institutions in China

description: The results of a national survey within China investigating perceived provision and adequacy of research integrity training by institutions. Research was conducted by Springer Nature. Results were gathered from 1,008 participants from roughly 450 organisations across China.​Authored by Farah Aldabbagh and Ed Gerstner.
DOI: 10.6084/m9.figshare.27629706.v1
title: Research Integrity Training — Needs and provisions in institutions in China

description: The results of a national survey within China investigating perceived provision and adequacy of research integrity training by institutions. Research was conducted by Springer Nature. Results were gathered from 1,008 participants from roughly 450 organisations across China.​
DOI: 10.15468/dl.36ndtc
title: Occurrence Download

description: A dataset containing 2873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyparrhenia filipendula (Hochst.) Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 2873 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000507-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4d5dt3
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thomasomys praetor (Thomas, 1900)"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000508-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn5kf2
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is one of (United States of America, Canada, Mexico)",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 1940",
 "TaxonKey is Lygodium japonicum (Thunb.) Sw."
 ]
}

 The dataset includes 28 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000510-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4phyqy
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyparrhenia finitima (Hochst.) Andersson ex Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 202 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000511-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y64gru
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Observation",
 "Continent is North America",
 "Country is United States of America",
 "Geometry POLYGON((-83.39599 35.14044,-83.40809 33.83383,-81.75022 33.84388,-81.76232 35.17012,-83.39599 35.14044))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Euphagus carolinus (Statius Muller, 1776)"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000512-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukrezu
title: Occurrence Download

description: A dataset containing 2655846393 species occurrences available in GBIF matching the query:
{
 "BasisOfRecord" : [
 "is Human Observation"
 ]
}

 The dataset includes 2655846393 records from 42866 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000280-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0180339.10fu
title: SH0180339.10FU

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/sh0180340.10fu
title: SH0180340.10FU

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/sh0180341.10fu
title: SH0180341.10FU

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/sh0180342.10fu
title: SH0180342.10FU

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/sh0180343.10fu
title: SH0180343.10FU

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/sh0180344.10fu
title: SH0180344.10FU

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: 10.7910/dvn/5pepsv
title: EnviroAtlas

description: EnviroAtlas is an online mapping and analysis tool developed by the U.S. EPA to provide public access to geospatial data and resources related to environment and human health. The primary purpose of EnviroAtlas is to support informed decision-making and promote a better understanding of the relationships between ecosystems, their services, and human well-being. It provides access to data at different spatial scales for environmental indicators such as air quality, water quality, land use, and ecosystem services through its interactive map, data downloads, tools, and other resources.
DOI: 10.15156/bio/sh0180345.10fu
title: SH0180345.10FU

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: 10.15468/dl.ybggv5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.315196 21.512087, 75.239709 21.506511, 75.16609699999999 21.48992, 75.096189 21.462727, 75.031717 21.425607, 74.974276 21.37948, 74.925284 21.325491, 74.88594399999999 21.264977, 74.85721599999999 21.199433, 74.83979600000001 21.130481, 74.834097 21.05982, 74.840244 20.989192, 74.858069 20.920334, 74.887118 20.854939, 74.926665 20.794611, 74.975728 20.740828, 75.033098 20.694909, 75.097363 20.657975, 75.166951 20.63093, 75.240157 20.614434, 75.315196 20.608891, 75.390235 20.614434, 75.463441 20.63093, 75.533029 20.657975, 75.59729400000001 20.694909, 75.654664 20.740828, 75.703727 20.794611, 75.743274 20.854939, 75.772323 20.920334, 75.790148 20.989192, 75.796295 21.05982, 75.79059599999999 21.130481, 75.77317600000001 21.199433, 75.74444800000001 21.264977, 75.705108 21.325491, 75.656116 21.37948, 75.598675 21.425607, 75.53420300000001 21.462727, 75.46429500000001 21.48992, 75.390683 21.506511, 75.315196 21.512087))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001680-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0180346.10fu
title: SH0180346.10FU

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.