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

description: A dataset containing 16751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anopheles albimanus Wiedemann, 1820, Anopheles albitarsis Lynch Arribálzaga, 1878, Anopheles apicimacula Dyar & Knab, 1906, Anopheles aquasalis Curry, 1932, Anopheles argyritarsis Robineau-Desvoidy, 1827, Anopheles bellator Dyar & Knab, 1906, Anopheles benarrochi Gabaldón, Cova García & López, 1941, Anopheles braziliensis Chagas, 1907, Anopheles cruzii Dyar & Knab, 1908, Anopheles darlingi Root, 1926, Anopheles deaneorum Rosa-Freitas, 1989, Anopheles eiseni Coquillett, 1902, Anopheles evansae (Brèthes, 1926), Anopheles fluminensis Root, 1927, Anopheles forattinii Wilkerson & Sallum, 1999, Anopheles galvaoi Causey, Deane & Deane, 1943, Anopheles homunculus Komp, 1937, Anopheles intermedius Peryassu, 1908, Anopheles konderi Galvão & Damasceno, 1942, Anopheles lutzii Cruz, 1901, Anopheles maculipes (Theobald, 1903), Anopheles marajoara Galvão & Damasceno, 1942, Anopheles mediopunctatus (Theobald, 1903), Anopheles minor Lima, 1929, Anopheles neivai Howard, Dyar & Knab, 1913, Anopheles neomaculipalpus Curry, 1931, Anopheles noroestensis Galvão & Lane, 1937, Anopheles nuneztovari Gabaldón, 1940, Anopheles oswaldoi Peryassú, 1922, Anopheles parvus Chagas, 1907, Anopheles peryassui Dyar & Knab, 1908, Anopheles pictipennis Philippi, 1865, Anopheles pseudopunctipennis Theobald, 1901, Anopheles punctimacula Dyar & Knab, 1906, Anopheles rangeli Gabaldón, Cova García & López, 1940, Anopheles rondoni Neiva & Pinto, 1922, Anopheles shannoni Davis, 1931, Anopheles strodei Root, 1926, Anopheles triannulatus Neiva & Pinto, 1922)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16751 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155592-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gltg4
title: Occurrence Download

description: A dataset containing 944 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vitis vinifera subsp. sylvestris (Willd.) Hegi"
 ]
}

 The dataset includes 944 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005660-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjykyh
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cranichis diphylla Sw."
 ]
}

 The dataset includes 240 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155599-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adiflb
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllodactylus delcampoi Mosauer, 1936"
 ]
}

 The dataset includes 198 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005660-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ccevx
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclopogon millei (Schltr.) Schltr."
 ]
}

 The dataset includes 58 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155595-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5x4s6
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Codonopsis thalictrifolia Wall."
 ]
}

 The dataset includes 112 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005660-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsuwd4
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclopogon miradorensis Schltr."
 ]
}

 The dataset includes 38 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155598-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmcisv
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Acacia bilimekii J.F.Macbr."
 ]
}

 The dataset includes 141 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005660-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q22dq5
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclopogon multiflorus Schltr."
 ]
}

 The dataset includes 79 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155601-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14100378
title: Number of individuals of each species monthly (from October, 2022 to October, 2023) collected at a shrubby Caatinga area, municipality of São José do Piauí, Piauí state, Brazil.

description: Dataset included in the manuscript "The orchid bee fauna (Hymenoptera, Apidae, Euglossina) from the Capadócia Nordestina, Piauí State, Brazil", submitted to Biota Neotropica.
DOI: 10.5281/zenodo.14100379
title: Number of individuals of each species monthly (from October, 2022 to October, 2023) collected at a shrubby Caatinga area, municipality of São José do Piauí, Piauí state, Brazil.

description: Dataset included in the manuscript "The orchid bee fauna (Hymenoptera, Apidae, Euglossina) from the Capadócia Nordestina, Piauí State, Brazil", submitted to Biota Neotropica.
DOI: 10.15468/dl.9bg3f9
title: Occurrence Download

description: A dataset containing 9296440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9296440 records from 2389 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010626-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vwhuw
title: Occurrence Download

description: A dataset containing 3818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Uria aalge (Pontoppidan, 1763)"
 ]
}

 The dataset includes 3818 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015238-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k47tvv
title: Occurrence Download

description: A dataset containing 12569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Melanitta nigra (Linnaeus, 1758)"
 ]
}

 The dataset includes 12569 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015239-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tn8nq9
title: Occurrence Download

description: A dataset containing 1494823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 {
 "or" : [
 "Country is Norway",
 "Country is Svalbard and Jan Mayen"
 ]
 }
 ]
}

 The dataset includes 1494823 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015196-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9yf38
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parabuthus laevifrons (Simon, 1888))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 96 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015240-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azapc3
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-26.83519 48.68344,1.30575 48.68344,1.30575 59.93344,-26.83519 59.93344,-26.83519 48.68344))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Clavaria zollingeri Lév.",
 "Year 1976-2025"
 ]
}

 The dataset includes 290 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015241-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15114382
title: Database of Market-Based Instruments for Forest Ecosystem Services in Europe
DOI: 10.5281/zenodo.15114383
title: Database of Market-Based Instruments for Forest Ecosystem Services in Europe
DOI: 10.48323/6ry38-nsm85
title: Dataset for Stegner et al. 2025: Differences in freezing dynamics in the tip and base of wheat (Triticum aestivum L.) leaves result in a difference in cold hardiness. Plant Stress
DOI: 10.48323/her0m-pwg17
title: Dataset for Stegner et al. 2025: Differences in freezing dynamics in the tip and base of wheat (Triticum aestivum L.) leaves result in a difference in cold hardiness. Plant Stress
DOI: 10.48328/tudatalib-1726
title: DSC - polymer thermal analysis - Raw and processed data and image

description: The .txt files contains the raw differential scanning calorimetry (DSC) data for the P(DMAA-co-MABP) copolymer foil, measured using a DSC 3 system. The experiment was conducted under a nitrogen atmosphere, with a heating rate of 10 °C/min, covering a temperature range from -50 °C to 300 °C. The dataset includes temperature and heat flow values used to identify the glass transition temperature (Tg) of the material. The Igor file and the image show the processed data.
DOI: 10.15468/dl.vke79k
title: Occurrence Download

description: A dataset containing 144925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Ichthyaetus audouinii (Payraudeau, 1826)"
 ]
}

 The dataset includes 144925 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015222-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vz4rpb
title: Occurrence Download

description: A dataset containing 229887851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fucus Linnaeus, 1753, Sargassum C.Agardh, 1820, Mytilus Linnaeus, 1758, Arthropoda, Skeletonema R.K.Greville, 1865, Prorocentrum Ehrenberg, 1834, Acartia Dana, 1846, Scomber Linnaeus, 1758)",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 229887851 records from 24606 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015219-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0182486.10fu
title: SH0182486.10FU

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/sh0182487.10fu
title: SH0182487.10FU

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/sh0182488.10fu
title: SH0182488.10FU

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/sh0182489.10fu
title: SH0182489.10FU

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/sh0182490.10fu
title: SH0182490.10FU

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.en7vxq
title: Occurrence Download

description: A dataset containing 199911 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"729","matchCase":false},{"type":"equals","key":"DATASET_KEY","value":"b124e1e0-4755-430f-9eab-894f25a9b59c","matchCase":false},{"type":"equals","key":"MEDIA_TYPE","value":"stillImage","matchCase":false}]}

 The dataset includes 199911 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001729-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0182491.10fu
title: SH0182491.10FU

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/sh0182492.10fu
title: SH0182492.10FU

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/sh0182493.10fu
title: SH0182493.10FU

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/sh0182494.10fu
title: SH0182494.10FU

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.