cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-28f-ekdc
title: PAN-00007884 - supporting-arm brooch of the Lower Saxonian type A and B

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00007884&lt;/p&gt;
description: Modified: 2019-04-25T10:52:37+02:00
DOI: 10.3535/v1g-tb0-36f
title: Plutarchia Girault, 1925

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.nqf9x5
title: Occurrence Download

description: A dataset containing 178298 records in GBIF matching the query:
SELECT "year", GBIF_EQDGCode(2, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 27000)) AS qdgcCode,speciesKey,species, "order", family, genus, COUNT(*) AS n,MIN(COALESCE(coordinateUncertaintyInMeters, 27000)) AS minCoordinateUncertaintyInMeters, IF(ISNULL("order"), NULL, SUM(COUNT(*)) OVER (PARTITION BY "order")) AS orderCount, IF(ISNULL(family), NULL, SUM(COUNT(*)) OVER (PARTITION BY family)) AS familyCount, IF(ISNULL(genus), NULL, SUM(COUNT(*)) OVER (PARTITION BY genus)) AS genusCount FROM occurrence WHERE class = 'Aves' AND occurrenceStatus = 'PRESENT'AND (coordinateUncertaintyInMeters &lt;= 27000 OR coordinateUncertaintyInMeters IS NULL) AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN') AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND level1Gid = 'ZAF.9_1' AND "year" &gt;= 2015 AND "year" &lt;= 2023 AND speciesKey IS NOT NULL AND decimalLatitude IS NOT NULL AND decimalLongitude IS NOT NULL AND collectionCode != 'SABAP2' GROUP BY "year", qdgcCode, speciesKey, "order", family, genus, species ORDER BY "year" ASC, qdgcCode ASC, speciesKey ASC

 The dataset's 178298 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002416-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utdxau
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Occurrence evidence)",
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mesembryanthemum guerichianum"
 ]
}

 The dataset includes 304 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002442-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbnwrs
title: Occurrence Download

description: A dataset containing 1410 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"in","key":"TAXON_KEY","values":["5219173"],"matchCase":false},{"type":"in","key":"COUNTRY","values":["AX","AL","AD","AT","BY","BE","BA","BG","HR","CZ","DK","EE","FO","FI","FR","DE","GI","GR","GG","HU","IS","IE","IM","IT","JE","XK","LV","LI","LT","LU","MK","MT","MD","MC","ME","NL","NO","PL","PT","RO","RU","SM","RS","SK","SI","ES","SJ","SE","CH","UA","GB","VA"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["PRESERVED_SPECIMEN","LITERATURE","HUMAN OBSERVATION"],"matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false}]}

 The dataset includes 1410 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002429-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5257/oecd/econ/2024-05
title: Economic Outlook (May 2024 Edition)

description: The OECD Economic Outlook online database provides historical trends and future projections for a range of economic statistics. These include demand and gross domestic product (GDP), deflators and prices, general government accounts, households and business sectors, productivity, employment, labour market, financial data, foreign exchange market, interest rates, balance of payments, international trade, supply block, oil market and other raw materials.
DOI: 10.15468/dl.kjsw74
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Occurrence evidence)",
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mesembryanthemum crystallinum"
 ]
}

 The dataset's 1 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002432-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63vz4p
title: Occurrence Download

description: A dataset listing the 4095929 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 4095929 records were derived from 77434 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002415-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qsktt
title: Occurrence Download

description: A dataset listing the 60806 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Congo, Democratic Republic of the"
 ]
}

 The dataset's 60806 records were derived from 1015 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002437-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3ht89
title: Occurrence Download

description: A dataset containing 16910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.20112 56.61154,-5.77339 55.81334,-3.07783 53.49725,-0.57855 55.10674,-2.20112 56.61154))",
 "TaxonKey is Potamogeton"
 ]
}

 The dataset includes 16910 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002444-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyxz4e
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "OccurrenceStatus is Present",
 "TaxonKey is Leptodirus"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002445-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5257/oecd/educ/2025
title: Education Statistics (2025 Edition)

description: OECD Education statistics database includes the UNESCO/OECD/EUROSTAT (UOE) database on education covering the outputs of educational institutions, the policy levers that shape educational outputs, the human and financial resources invested in education, structural characteristics of education systems, and the economic and social outcomes of education, learning and training throughout life, including on employment and unemployment. Also included in the database are the PISA 2015 dataset, Teaching and Learning International Survey (TALIS) data, the annual Education at a Glance data and data relating to Gender equality in education.
DOI: 10.15468/dl.kfa55z
title: Occurrence Download

description: A dataset containing 2708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "StateProvince is one of (Karnataka, Maharashtra, Telangana, Andhra Pradesh)",
 "TaxonKey is one of (Aquila nipalensis, Aquila nipalensis nipalensis, Aquila nipalensis orientalis)"
 ]
}

 The dataset includes 2708 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002446-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvcwmm
title: Occurrence Download

description: A dataset containing 277550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-959.0",
 "Geometry POLYGON((-127.31332 31.18138,-106.7759 31.18138,-106.7759 49.55164,-127.31332 49.55164,-127.31332 31.18138))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Reptilia, Reptilia, Reptilia, Reptilia, Amphibia, Orchidaceae)"
 ]
}

 The dataset includes 277550 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002428-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5257/oecd/telecom/2018-12
title: Telecommunications and Internet Statistics (December 2018 Edition)

description: This subscription provides online access to the OECD Telecommunications and Internet Statistics Database, which provides annual data from 1980 onwards for 100 telecommunications variables such as standard lines, digital lines, IDN lines, DSL lines,  mobile subs, residential lines, pay phones, telecoms staff, revenues, investment, traffic, and much more for OECD countries. This database is updated every two years.
DOI: 10.15468/dl.vvvhkn
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Doronicum oblongifolium"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002451-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjydr7
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Stipa capillata"
 ]
}

 The dataset includes 149 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002448-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6c4p84
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Digitaria ischaemum"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002450-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b293pj
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-16.14026 34.89427,-0.41944 36.42796,4.51141 42.27039,-0.00508 42.68475,-16.14026 46.14427,-16.14026 34.89427))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Omophron"
 ]
}

 The dataset includes 304 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002452-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88hu45
title: Occurrence Download

description: A dataset containing 9337 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senecio pterophorus"
 ]
}

 The dataset includes 9337 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002453-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5257/wb/wdi/2022q1
title: World Development Indicators (WDI) (2022Q1 Edition)

description: The World Development Indicators is a compilation of relevant, high-quality, and internationally-comparable statistics about global development and the fight against poverty. The database contains 1,600 time-series indicators for 217 economies and more than 40 country groups, with data for many indicators going back more than 50 years.
DOI: 10.15468/dl.qmym9x
title: Occurrence Download

description: A dataset containing 1200071 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna Atlas N.T."
 ]
}

 The dataset includes 1200071 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002439-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x455uu
title: Occurrence Download

description: A dataset containing 1794 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pimpla turionellae"
 ]
}

 The dataset includes 1794 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002454-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dn28e
title: Occurrence Download

description: A dataset containing 9337 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senecio pterophorus"
 ]
}

 The dataset includes 9337 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002455-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npq3rj
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Alisma plantago-aquatica"
 ]
}

 The dataset includes 68 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002457-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7nh4s
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "TaxonKey is Aegomorphus krueperi"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002458-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1098599.10fu
title: SH1098599.10FU

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/sh1098600.10fu
title: SH1098600.10FU

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/sh1098601.10fu
title: SH1098601.10FU

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/sh1098602.10fu
title: SH1098602.10FU

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/sh1098604.10fu
title: SH1098604.10FU

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/sh1098608.10fu
title: SH1098608.10FU

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/sh1098611.10fu
title: SH1098611.10FU

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.