cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uszpq6
title: Occurrence Download

description: A dataset containing 5102 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Receptaculitaceae)"
 ]
}

 The dataset includes 5102 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041577-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm85ha
title: Occurrence Download

description: A dataset containing 1397229 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Rhamnaceae)"
 ]
}

 The dataset includes 1397229 records from 3036 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041636-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67he8e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luffa aegyptiaca",
 "Country is Rwanda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034425-250920141307145/datasets/export for details.
DOI: 10.15468/dl.mrpufa
title: Occurrence Download

description: A dataset containing 1336 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 2440669 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2440669 OR CAST(occurrence.kingdomkey AS INTEGER) = 2440669 OR CAST(occurrence.phylumkey AS INTEGER) = 2440669 OR CAST(occurrence.classkey AS INTEGER) = 2440669 OR CAST(occurrence.orderkey AS INTEGER) = 2440669 OR CAST(occurrence.familykey AS INTEGER) = 2440669 OR CAST(occurrence.genuskey AS INTEGER) = 2440669 OR CAST(occurrence.specieskey AS INTEGER) = 2440669)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 1336 records were derived from 419 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034401-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v38w6m
title: Occurrence Download

description: A dataset containing 805 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen)",
 "TaxonKey is one of (Trochilidae [GBIF Backbone Taxonomy])",
 "PublishingOrg is one of (8a471700-4ce8-11db-b80e-b8a03c50a862)"
 ]
 }
 ]
}

 The dataset includes 805 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034424-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kbgkp
title: Occurrence Download

description: A dataset containing 244111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-85.76991 23.20456,-84.76037 19.87586,-78.24424 14.97402,-71.58893 14.42509,-70.28633 12.45908,-67.73808 11.34154,-65.7621 10.76333,-63.51987 10.76333,-62.01559 10.98632,-61.675 10.56809,-62.01559 10.03752,-61.64662 9.84182,-60.34102 9.9257,-58.24857 11.52719,-56.35857 21.2692,-64.7325 32.86285,-76.32845 32.66603,-78.66904 28.10492,-79.46484 26.65008,-79.46484 24.79458,-83.22317 23.96418,-85.76991 23.20456))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Crocodylia, Testudines, Squamata, Amphibia, Reptilia, Serpentes)"
 ]
}

 The dataset includes 244111 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034361-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9gmhp
title: Occurrence Download

description: A dataset containing 103401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA.1_1",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 103401 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034381-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17228104
title: EM-GC Input and Output files for "Quantification of the influence of anthropogenic and natural Factors on the record-high temperatures in 2023 and 2024"

description: This data set contains the input and output datafiles for the 2025 ESD Manuscript entitled "Quantification of the influence of anthropogenic and natural Factors on the record-high temperatures in 2023 and 2024".

The readme.txt file contains the description of individual data files.
DOI: 10.5281/zenodo.17228105
title: EM-GC Input and Output files for "Quantification of the influence of anthropogenic and natural Factors on the record-high temperatures in 2023 and 2024"

description: This data set contains the input and output datafiles for the 2025 ESD Manuscript entitled "Quantification of the influence of anthropogenic and natural Factors on the record-high temperatures in 2023 and 2024".

The readme.txt file contains the description of individual data files.
DOI: 10.15468/dl.d2ewg9
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Colombia)",
 "DatasetKey is International Barcode of Life project (iBOL)",
 "Geometry POLYGON((-138.67430 -44.84062,-13.32570 -44.84062,-13.32570 42.84062,-138.67430 42.84062,-138.67430 -44.84062))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Urbanus esta"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034427-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6y3nry
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luffa aegyptiaca",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034428-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1yim5xp
title: Digital elevation model of the lava dome in the crater of Mount St. Helens, July 18, 1986

description: The catastrophic, explosive eruption of Mount St. Helens, Washington, on May 18, 1980, is the most well-known eruption of the volcano. Less well known is that the May 18 eruption marked the beginning of a period of eruptive activity that lasted through 1986. Beginning in October 1980, a series of 17 dome-building episodes added millions of cubic meters of lava to the crater floor. Most of the growth occurred when magma extruded onto the surface of the dome, forming lava flows approximately 198 to 396 meters (650 to 1,300 feet) long and 20 to 40 meters (65 to 130 feet) thick. This data release includes a 1-meter resolution digital elevation model (DEM) and a corresponding hillshade raster. These were derived from a previously unpublished 1:2,000 scale topographic contour map, which was based on aerial photographs taken on July 18, 1986. The map was created by the USGS for use during the response to the eruption.
DOI: 10.15468/dl.6s7kqq
title: Occurrence Download

description: A dataset containing 2653277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Uganda",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2653277 records from 547 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034397-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwnn2x
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tejidos colectados en la expedición en el lago de Tota, Boyacá - Proyecto Boyacá BIO"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034429-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxsq8h
title: Occurrence Download

description: A dataset containing 8103 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Ochotona princeps [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 8103 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034419-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxxk4v
title: Occurrence Download

description: A dataset containing 8103 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Ochotona princeps [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 8103 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034420-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqpd78
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luffa aegyptiaca",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034430-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ty2yvh
title: Occurrence Download

description: A dataset containing 432958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Briza media)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 432958 records from 1799 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034405-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xuum2z
title: Occurrence Download

description: A dataset containing 1143334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies sachalinensis (F.Schmidt) Mast., Abies sachalinensis F.Schmidt, Pinus pumila (Pall.) Regel, Pinus pumila hort., Pinus pumila hort. ex K.Koch, 1873, Pinus pumilio (Haenke) Franco, Pinus pumilio Haenke, Pinus tumida Carrière, Pinus tumida Roezl, Pinus tumida Roezl ex Godr., Pinus tumida Roezl ex Gordon, Prunus pumila L., Prunus pumila Georgi, Prunus pumila Münchh., Pyrus pumila (Mill.) K.Koch, Pyrus pumila (Mill.) Steud., Pyrus pumila J.C.Neumann, Pyrus pumila J.C.Neumann ex Tausch., Prunus pumila Lumn., Prunus pumila Walter, Prunus pumilus Focke, Larix czekanowskii Szafer, Alnus glutinosa (L.) Gaertn., Alnus glutinosa Medik., Alnus hirsuta (Spach) Rupr., Alnus hirsuta Turcz., Betula occidentalis Hook., Betula pubescens Ehrh., Betula ×pallescens Larss., Betula ×pallescens Larss. ex Kindb., Betula ermanii Cham., Betula bryani Knowlton, 1926, Populus suaveolens Fisch., Populus suaveolens Fisch. ex Loudon, Populus suaveolens Fisch. ex Poit. & A.Vilm., Populus suaveolens Fisch. ex Camuzet, 1829, Pinus cembra L., Pinus cembra Thunb., Pinea cembra (L.) Opiz, Pinus cedrus Uspensk., Pinus cedrus L., Pinus cedrus Roezl, Alnus alnobetula (Ehrh.) K.Koch, ×Pucciphippsia vacillans (Th.Fr.) Tzvelev)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "DecimalLatitude is greater than or equal to 0",
 "DecimalLatitude is less than or equal to 90",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 1143334 records from 2638 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024864-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0194114.10fu
title: SH0194114.10FU

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/sh0194115.10fu
title: SH0194115.10FU

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/sh0194116.10fu
title: SH0194116.10FU

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/sh0194117.10fu
title: SH0194117.10FU

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/sh0194118.10fu
title: SH0194118.10FU

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/sh0194119.10fu
title: SH0194119.10FU

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/sh0194120.10fu
title: SH0194120.10FU

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/sh0194121.10fu
title: SH0194121.10FU

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.