cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3q8xhr
title: Occurrence Download

description: A dataset containing 756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-68.09766 -16.52688,-68.097 -16.52581,-68.09704 -16.52435,-68.0951 -16.52292,-68.09444 -16.52542,-68.09349 -16.5247,-68.09271 -16.52288,-68.09188 -16.52316,-68.09122 -16.5219,-68.09126 -16.51655,-68.09201 -16.51663,-68.09238 -16.51537,-68.0918 -16.51426,-68.09126 -16.51347,-68.08974 -16.5143,-68.08941 -16.51271,-68.09135 -16.51153,-68.09056 -16.51002,-68.08941 -16.51022,-68.08937 -16.50935,-68.09135 -16.50895,-68.09407 -16.50868,-68.09609 -16.5086,-68.09671 -16.50915,-68.09576 -16.50939,-68.09585 -16.51022,-68.09684 -16.50986,-68.09663 -16.51093,-68.09568 -16.51097,-68.09543 -16.5124,-68.09655 -16.51165,-68.09597 -16.51366,-68.09675 -16.51354,-68.09688 -16.51275,-68.09791 -16.51271,-68.09795 -16.51434,-68.09911 -16.51473,-68.09977 -16.51386,-68.10072 -16.51426,-68.10125 -16.51307,-68.10204 -16.51299,-68.10208 -16.51137,-68.10125 -16.51046,-68.10191 -16.50994,-68.10274 -16.51105,-68.10258 -16.51228,-68.10361 -16.51244,-68.10457 -16.51289,-68.10486 -16.51384,-68.10639 -16.51403,-68.10689 -16.5132,-68.10796 -16.51526,-68.10936 -16.51657,-68.10973 -16.51823,-68.10883 -16.51669,-68.10788 -16.51661,-68.10676 -16.51653,-68.10519 -16.51795,-68.10395 -16.51657,-68.1035 -16.51787,-68.10185 -16.51902,-68.1021 -16.51969,-68.09991 -16.52239,-68.09822 -16.52227,-68.09686 -16.52108,-68.09549 -16.52183,-68.09764 -16.52361,-68.09851 -16.52341,-68.09776 -16.52468,-68.09805 -16.52563,-68.09766 -16.52688))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (LC, NE)",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 756 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186115-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3r6xh9
title: Occurrence Download

description: A dataset containing 12387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arthropoda, Nematoda, Tardigrada, Rotifera, Annelida, Mollusca, Platyhelminthes)",
 "Geometry POLYGON ((-80.69371 37.51404, -80.694807 37.243628, -80.35657 37.242273, -80.354256 37.512672, -80.69371 37.51404))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "CoordinateUncertaintyInMeters" : [
 "is one of (301, 3036, 999, 9999)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 12387 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235605-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vx6qa4
title: Occurrence Download

description: A dataset containing 29920 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia hirta L."
 ]
}

 The dataset includes 29920 records from 660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007220-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufchxq
title: Occurrence Download

description: A dataset containing 98525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Muntiacus reevesi (Ogilby, 1839)"
 ]
}

 The dataset includes 98525 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201806-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88gfpx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habenaria bicolor Conrath & Kraenzl."
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235601-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9r225x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrobium okabeanum Tuyama",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205930-220831081235567/datasets/export for details.
DOI: 10.15468/dl.eaaf4q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hesperocyparis lusitanica (Mill.) Bartel",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205939-220831081235567/datasets/export for details.
DOI: 10.15468/dl.3xs7ee
title: Occurrence Download

description: A dataset containing 3333 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cubelium concolor (T.F.Forst.) Raf."
 ]
}

 The dataset includes 3333 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249407-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bazd5
title: Occurrence Download

description: A dataset containing 7836827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7836827 records from 2678 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249408-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13144/lil-1317
title: Enquête Ménages Déplacements, Creil / Sud de l'Oise - 2017

description: L'Enquête Ménages Déplacements "Creil / Sud de l'Oise 2017", réalisée selon la méthodologie nationale élaborée par le CERTU, est une EDVM (enquête déplacements villes moyennes) portant sur 6 intercommunalités du sud de l'Oise. Ce territoire, composé de 86 communes de l'Oise (pour une population de 241 300 habitants), a fait l'objet d'une enquête par téléphone.Cette enquête permet de connaître la mobilité, restreinte aux jours ouvrables, des individus (de 11 ans et plus) qui appartiennent à un ménage résidant dans les 86 communes de la zone d'étude.Les 4 073 ménages enquêtés sont caractérisés par leur lieu de résidence et les voitures, 2-3 roues motorisés et vélos à leur disposition. Les 5 018 individus interrogés l'ont principalement été sur leurs caractéristiques socio-démographiques et leur utilisation des modes de transport (individuels et collectifs). Des 18 956 déplacements, on connaît leurs heures et lieux de départ et d'arrivée, leur distance, leur durée, leur motif et les modes de transport utilisés. Les 14 821 trajets sont décrits par leur mode de transport, les lieux de départ et d'arrivée…
DOI: 10.13144/lil-1325
title: Recensement de la population 2016 : fichier détail migrations résidentielles des individus entre communes

description: Le fichier détail du recensement de la population de 2016 "Migrations résidentielles des individus entre communes" est de nouveau diffusé après quatre ans de suspension (entre 2009 et 2012) suite à un changement de questionnaire. Ce fichier détail fait désormais référence à la résidence antérieure des personnes recensées 1 an avant leur interrogation (contre 5 ans pour les recensements de la population 2006, 2007 et 2008). Il porte sur la résidence actuelle et antérieure des individus, leurs principales caractéristiques sociodémographiques, ainsi que celles du ménage auquel ils appartiennent. Les variables y sont disponibles avec des modalités détaillées, y compris les variables à diffusion restreinte (nationalité, pays de naissance, ancienneté d'arrivée en France). A partir de ce fichier, il est donc possible de faire des analyses exploratoires de données, de modéliser des comportements, ou simplement de tabuler sur une sous-population particulière définie selon certains critères : appartenance à une zone géographique et/ou unité statistique présentant certaines caractéristiques.
DOI: 10.13144/lil-1327
title: Recensement de la population 2016 : fichier détail migrations résidentielles des individus entre département de résidence actuelle et pays de résidence antérieure

description: Le fichier détail  du recensement de la population de 2016 "Migrations résidentielles des individus entre département de résidence actuelle et pays de résidence antérieure" est de nouveau diffusé après quatre ans de suspension (entre 2009 et 2012) suite à un changement de questionnaire. Ce fichier détail fait désormais référence à la résidence antérieure des personnes recensées 1 an avant leur interrogation (contre 5 ans pour les recensements de la population 2006, 2007 et 2008). Il porte sur la résidence actuelle et antérieure des individus, leurs principales caractéristiques sociodémographiques, ainsi que celles du ménage auquel ils appartiennent. Les variables y sont disponibles avec des modalités détaillées, y compris les variables à diffusion restreinte (nationalité, pays de naissance, ancienneté d'arrivée en France). A partir de ce fichier, il est donc possible de faire des analyses exploratoires de données, de modéliser des comportements, ou simplement de tabuler sur une sous-population particulière définie selon certains critères : appartenance à une zone géographique et/ou unité statistique présentant certaines caractéristiques.
DOI: 10.15468/dl.9ak77s
title: Occurrence Download

description: A dataset containing 4534612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 4534612 records from 770 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004792-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87ks9a
title: Occurrence Download

description: A dataset containing 936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squatina squatina (Linnaeus, 1758)"
 ]
}

 The dataset includes 936 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004796-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyhv5m
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ethiopia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crepis dianthoseris (Chiov.) N.Kilian, Enke, Sileshi & Gemeinholzer"
 ]
}

 The dataset includes 127 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004797-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4neu4a
title: Occurrence Download

description: A dataset listing the 18 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Exerodonta Brocchi, 1879"
 ]
}

 The dataset's 18 records were derived from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004791-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hb6hr
title: Occurrence Download

description: A dataset containing 2087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypochaeris albiflora, Hypochaeris albiflora, Hypochaeris albiflora (Kuntze) Azevêdo-Gonç. & Matzenb., Hypochaeris albiflora (Kuntze) Azevêdo-Gonç. & Matzenb., Hypochaeris albiflora (Kuntze) Azevêdo-Gonç. & Matzenb., Hypochaeris albiflora (Kuntze) Azevêdo-Gonç. & Matzenb., Hypochaeris albiflora (Kuntze) Azevêdo-Gonç. & Matzenb., Hypochaeris albiflora (Kuntze) Azevêdo-Gonç. & Matzenb., Hypochaeris albiflora (Kuntze) Azevêdo-Gonç. & Matzenb., Hypochaeris albiflora (Kuntze) Azevêdo-Gonç. & Matzenb., 2005, Hypochaeris albiflora (Kuntze) Azevêdo-Gonç. & Matzenb., 2005, Hypochaeris albiflora (Kuntze) Azevêdo-Gonç. & Matzenb.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2087 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004798-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6kcpu
title: Occurrence Download

description: A dataset containing 731043 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FishBase Database"
 ]
}

 The dataset includes 731043 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004794-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3uws4
title: Occurrence Download

description: A dataset containing 417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Juniperus sabina L."
 ]
}

 The dataset includes 417 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004799-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z42dzy
title: Occurrence Download

description: A dataset containing 349531 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario Nacional Colombiano (COL)"
 ]
}

 The dataset includes 349531 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004787-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tjmpd
title: Occurrence Download

description: A dataset containing 6576227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belize",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 6576227 records from 479 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004795-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0177246.10fu
title: SH0177246.10FU

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: 10.6084/m9.figshare.31037875
title: <b>Differences in leaf herbivory rates of </b><b>laurel</b><b> and </b><b>beech</b><b> tree</b><b>s</b><b> in subtropical evergreen forest are explained by leaf functional traits</b>

description: Leaf herbivory is a widespread form of biotic stress that affects plant growth, development, and resource allocation. Our understanding of how herbivory affects the functional traits, growth, development, and defense mechanisms of different tree species in subtropical forests remains limited.
DOI: 10.6084/m9.figshare.31037875.v1
title: <b>Differences in leaf herbivory rates of </b><b>laurel</b><b> and </b><b>beech</b><b> tree</b><b>s</b><b> in subtropical evergreen forest are explained by leaf functional traits</b>

description: Leaf herbivory is a widespread form of biotic stress that affects plant growth, development, and resource allocation. Our understanding of how herbivory affects the functional traits, growth, development, and defense mechanisms of different tree species in subtropical forests remains limited.
DOI: 10.15156/bio/sh0177247.10fu
title: SH0177247.10FU

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/sh0177248.10fu
title: SH0177248.10FU

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/sh0177249.10fu
title: SH0177249.10FU

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/sh0177250.10fu
title: SH0177250.10FU

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/sh0177251.10fu
title: SH0177251.10FU

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.