cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1266499.08fu
title: SH1266499.08FU

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: 10.25549/one-ouc17011833
title: Merritt M. Thompson, letters (1954-1972)

description: Merritt M. Thompson, correspondence with Bill regarding ONE Institute's course lesson plans and textbooks; letter containing a synopsis of his professional work experience as a teacher; letters explaining his absence at the 1959 Midwinter Institute; letter commenting on Marc Daniel's critique of Homophile Studies in the January 1970 issue of Arcadie; letter to Bill giving feedback on a manuscript; letters discussing personal health problems that prevent his participation in ONE's activities; letter to Bill offering feedback on his editorial; letter requesting Merritt author an article on whether homosexual behavior is a choice; letter describing the social and academic climate of the 1950s that lead to the creation of homosexual organizations like ONE and the Mattachine Society; letter requesting that Merritt author an introduction for the book Crime Against Nature; transcript of an interview with Merritt; letters containing book reviews that Merritt has completed at the request of ONE; letters from ONE asking that Merritt translate literature from German to English; letters asking Merritt to author a resolution on Sexual Legislation and Legalized Abortion on behalf of the American Humanist Association; letters describing Merritt's history of participation with ONE and the Institute (1954-1972)
DOI: 10.15156/bio/sh1266500.08fu
title: SH1266500.08FU

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/sh1266501.08fu
title: SH1266501.08FU

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/sh1266502.08fu
title: SH1266502.08FU

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/sh1266503.08fu
title: SH1266503.08FU

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/sh1266504.08fu
title: SH1266504.08FU

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/sh1266505.08fu
title: SH1266505.08FU

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/sh1266506.08fu
title: SH1266506.08FU

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.sx5vbx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acanthodactylus spinicauda Doumergue, 1901)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089489-240626123714530/datasets/export for details.
DOI: 10.15468/dl.v8hgcc
title: Occurrence Download

description: A dataset containing 2367 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Hypera postica (L.Gyllenhal, 1813)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2367 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089488-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13370444
title: DIVERSITY OF URBAN REPTILES IN THREE MAJOR AMAZONIAN  MUNICIPALITIES: AN ASSESSMENT USING A  CITIZEN SCIENCE PLATFORM

description: This dataset describes the distribution of reptiles in three Amazonian cities (Belém, Manaus and Rio Branco) compiled from the citizen science platform Inaturalist. The dataset consist of photographs of reptiles taken in those cities available in the Inaturalist until December 2023. This data supports the scientific manuscript in preparation: Diversity of urban reptiles in three major Amazonian municipalities: an assessment using a citizen science platform. The dataset consist of a excel spreadsheet structured in 15 columns described below:

·         Seq: a numerical sequence

·         Inaturalist link: link to each of the photographs on the platform

·         Photographer: photographer's identity according to the platform

·         Date: date

·         City: city

·         Latitude: geographic coordinate available on the platform

·         Longitude: geographic coordinate available on the platform

·         Coordinates precision (m): coordinate precision

·         Used in spatial analysis: indicates whether that photograph was used (yes) or not (no) in the spatial analyses conducted in the study

·         Squamate group: identifies the three groups of reptiles studied as lizards, snakes or worm lizard

·         Species name (Inaturalist): species identification according to the platform

·         Standard species name (Guedes et al. 2023): standardization of species names following Guedes, T. B., Entiauspe-Neto, O. M., & Costa, H. C. (2023). List of reptiles of Brazil: 2022 update. Herpetologia Brasileira, 12(1), 56-161.

·         # of identifiers: number of platform contributors who suggested the species identity

·         Environment: indicates whether the photograph was taken in an urban or forest/rural environment

·         Landscape: indicates whether the animal photographed in an urban environment was inside or in the edge of an urban forest fragment, in an urbanized area less than 300 m from a forest fragment, in an urbanized area more than 300 m from a forest fragment, or outside an urban environment (not applied)
DOI: 10.5281/zenodo.13370445
title: DIVERSITY OF URBAN REPTILES IN THREE MAJOR AMAZONIAN  MUNICIPALITIES: AN ASSESSMENT USING A  CITIZEN SCIENCE PLATFORM

description: This dataset describes the distribution of reptiles in three Amazonian cities (Belém, Manaus and Rio Branco) compiled from the citizen science platform Inaturalist. The dataset consist of photographs of reptiles taken in those cities available in the Inaturalist until December 2023. This data supports the scientific manuscript in preparation: Diversity of urban reptiles in three major Amazonian municipalities: an assessment using a citizen science platform. The dataset consist of a excel spreadsheet structured in 15 columns described below:

·         Seq: a numerical sequence

·         Inaturalist link: link to each of the photographs on the platform

·         Photographer: photographer's identity according to the platform

·         Date: date

·         City: city

·         Latitude: geographic coordinate available on the platform

·         Longitude: geographic coordinate available on the platform

·         Coordinates precision (m): coordinate precision

·         Used in spatial analysis: indicates whether that photograph was used (yes) or not (no) in the spatial analyses conducted in the study

·         Squamate group: identifies the three groups of reptiles studied as lizards, snakes or worm lizard

·         Species name (Inaturalist): species identification according to the platform

·         Standard species name (Guedes et al. 2023): standardization of species names following Guedes, T. B., Entiauspe-Neto, O. M., & Costa, H. C. (2023). List of reptiles of Brazil: 2022 update. Herpetologia Brasileira, 12(1), 56-161.

·         # of identifiers: number of platform contributors who suggested the species identity

·         Environment: indicates whether the photograph was taken in an urban or forest/rural environment

·         Landscape: indicates whether the animal photographed in an urban environment was inside or in the edge of an urban forest fragment, in an urbanized area less than 300 m from a forest fragment, in an urbanized area more than 300 m from a forest fragment, or outside an urban environment (not applied)
DOI: 10.15468/dl.bcdhvx
title: Occurrence Download

description: A dataset containing 1830 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Peritrechus geniculatus (Hahn, 1833)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1830 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089491-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrcune
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chalcides ebneri Werner, 1931)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089492-240626123714530/datasets/export for details.
DOI: 10.15468/dl.rujfpz
title: Occurrence Download

description: A dataset containing 1952 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Hypera nigrirostris (J.C.Fabricius, 1775)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1952 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089493-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9244491
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.xjv2rz
title: Occurrence Download

description: A dataset containing 86047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron tomentosum (Stokes) Harmaja"
 ]
}

 The dataset includes 86047 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089486-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kx4tf
title: Occurrence Download

description: A dataset containing 1269 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Peritrechus gracilicornis Puton, 1877",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1269 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089494-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aykysc
title: Occurrence Download

description: A dataset containing 171829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Sicalis flaveola (Linnaeus, 1766)"
 ]
}

 The dataset includes 171829 records from 337 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089476-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzdtbh
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gallotia bravoana Hutterer, 1985)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089496-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3renu
title: Occurrence Download

description: A dataset containing 590 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Conotrachelus nenuphar Harris, 1841",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 590 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089497-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrxts6
title: Occurrence Download

description: A dataset containing 911 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Cebus capucinus (Linnaeus, 1758))"
 ]
}

 The dataset includes 911 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089498-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4s7jbt
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gallotia intermedia Barrbadillo, Lacoba, Pérez-Mellado, Sancho & López-Jurado, 1999)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089500-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.