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

description: A dataset containing 34 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'FR'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND GBIF_STRINGARRAYCONTAINS(occurrence.classifications['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c'], '5219173', TRUE)
 AND (occurrence."year" &gt;= 1990 AND occurrence."year" &lt;= 2002 OR occurrence."year" &gt;= 2003 AND occurrence."year" &lt;= 2015 OR occurrence."year" &gt;= 2016 AND occurrence."year" &lt;= 2026)
 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.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL)
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"

 The dataset's 34 records were derived from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000662-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17700485
title: KP RC Reports b28
DOI: 10.5281/zenodo.17700486
title: KP RC Reports b28
DOI: 10.20383/103.01257
title: Lidar-based Canopy Height Models for Peace Athabasca Delta aerial survey polygons in 2000, 2016, and 2018

description: This dataset supports a research project that investigates vegetation dynamics in the Peace-Athabasca Delta (PAD), a complex boreal wetland system in northern Alberta, Canada. The study integrates Landsat-derived vegetation indices (NDVI and EVI) with airborne LiDAR-derived canopy height models (CHM) to assess vertical and horizontal vegetation changes across multiple wetland and upland landcover classes from 2000 to 2018. The dataset is intended to support long-term monitoring of ecosystem change and can be reused in studies of remote sensing, wetland ecology, and climate or disturbance-related vegetation shifts. For further details, please refer to Aslami et al. (2025), Evaluating the Performance of NDVI and EVI for Monitoring Wetland Vegetation Changes Using LiDAR-Derived Canopy Height Models, Applied Sciences, 15(9), 4653. https://www.mdpi.com/2076-3417/15/9/4653
DOI: 10.15468/dl.c237ba
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.09196 19.34157,-99.09052 19.34157,-99.09052 19.34947,-99.09196 19.34947,-99.09196 19.34157))",
 "TaxonKey is Neltuma laevigata"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000747-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysx9je
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-70.58643 -34.20415,-69.54365 -34.20415,-69.54365 -32.50377,-70.58643 -32.50377,-70.58643 -34.20415))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leucheria gayana"
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000748-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3ycvu
title: Occurrence Download

description: A dataset containing 124117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Spiranthes"
 ]
}

 The dataset includes 124117 records from 1057 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000684-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1409325.10fu
title: SH1409325.10FU

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/sh1409327.10fu
title: SH1409327.10FU

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/sh1409328.10fu
title: SH1409328.10FU

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/sh1409330.10fu
title: SH1409330.10FU

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/sh1409337.10fu
title: SH1409337.10FU

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/sh1409346.10fu
title: SH1409346.10FU

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: 10.17026/ar/knpdj1
title: Feerwerd, Aduarderzijl (Gemeente Westerkwartier) Definitief Archeologisch Onderzoek: Variant Archeologische Begeleiding

description: In het kader van de diverse werkzaamheden voor de voorgenomen restauratie en
herinrichting van het terrein rondom het sluizencomplex en ’t Waarhuis is een archeologische
begeleiding uit gevoerd in het plangebied te Aduarderzijl (gemeente Westerkwartier). De
historische waarde van het gebied is bij een eerder archeologisch bureauonderzoek en
cultuurhistorisch onderzoek vastgesteld (Bajema 2023). Hieruit bleek dat in het gebied een
sluizencomplex aanwezig is daterend uit de late middeleeuwen. Bij dit complex hebben in de
loop der tijd ook verschillende gebouwen gestaan, zoals het nog bestaande Waarhuis (uit
1690 nC). Ook werden in de 16e tot 18e eeuw, vanwege de strategische ligging, meerdere
malen schansen en verdedigingswerken opgeworpen bij het complex Bij het archeologisch
onderzoek werd ten noorden van ’t Waarhuis (parkeerplaats) een circa 93 m2 grote sleuf
gegraven tot circa 60 centimeter diep. Onder de bouwvoor en/of grindlaag werd een
natuurlijk kleipakket aangetroffen waaruit drie aardewerkscherven (datering 1650-1850 nC)
en 18 botfragmenten van een rund werden verzameld. Archeologisch sporen zijn niet
waargenomen. De bodem (tot het ontgravingsvlak) was voor een groot deel verstoord door
de ingraving van een bestaande drainagebuis. Behoudenswaardige archeologische resten
van het sluizencomplex, de schansen en (de voorloper van) ’t Waarhuis zijn niet
aangetroffen. Desondanks blijft het gebied een belangrijke historische plek en wordt bij
toekomstige bodemingrepen (dieper dan 30 centimeter onder het maaiveld) nieuw
archeologisch onderzoek geadviseerd.
DOI: 10.15156/bio/sh1409348.10fu
title: SH1409348.10FU

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.jq6ujt
title: Occurrence Download

description: A dataset containing 2392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "GadmGid is FRA.7_1",
 "IucnRedListCategory is one of (CR, EN)",
 "OccurrenceStatus is Present",
 "Year 2023-2026"
 ]
}

 The dataset includes 2392 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006267-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1409349.10fu
title: SH1409349.10FU

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: 10.5287/ora-rj17qdx1k
title: FOODCoST SSPs dataset

description: FOODCoST global dataset of national per unit costs of environmental externalities and dietary risk internalities of food system activities under the SSPs
DOI: 10.6084/m9.figshare.12597462.v1
title: Morphological characters matrix from New material of <i>Epiaceratherium</i> and a new species of <i>Mesaceratherium</i> clear up the phylogeny of early rhinocerotidae (perissodactyla)

description: Matrix in Nexus format for PAUP
DOI: 10.25387/g3.31337344
title: Supplementary Material for Nenad et al., 2026

description: Resolve Molecular Cartography data from Cas9 Lox-Stop-Lox mice with, AAV8-U6-sgRNA-TBG-Cre Bap1 knockout livers treated with vehicle or carbon tetrachloride. Raw data format is probe counts from molecular cartography, quantifying expression of 100 genes.
DOI: 10.25387/g3.31337344.v1
title: Supplementary Material for Nenad et al., 2026

description: Resolve Molecular Cartography data from Cas9 Lox-Stop-Lox mice with, AAV8-U6-sgRNA-TBG-Cre Bap1 knockout livers treated with vehicle or carbon tetrachloride. Raw data format is probe counts from molecular cartography, quantifying expression of 100 genes.
DOI: 10.15468/dl.7pac2w
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jasminum magnificum Lingelsh."
 ]
}

 The dataset includes 10 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034032-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3c8jm
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016140-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxtvlk
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023743-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmtsag
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euhagena Edwards, 1881"
 ]
}

 The dataset includes 138 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239166-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tf9wxk
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acrocomia media O.F.Cook"
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034026-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntxdbb
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sannina Walker, 1856"
 ]
}

 The dataset includes 112 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239185-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u0wgfj
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002067-180925134338326/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.deanen
title: Occurrence Download

description: A dataset containing 476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((71.63139 30.46608,127.60616 30.46608,127.60616 57.82594,71.63139 57.82594,71.63139 30.46608))",
 "TaxonKey is Sanguisorba alpina Bunge"
 ]
}

 The dataset includes 476 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034040-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdphcs
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028833-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9xxq4
title: Occurrence Download

description: A dataset containing 962 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Albuna Edwards, 1881"
 ]
}

 The dataset includes 962 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239159-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scfcuk
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004685-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.