cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/nr2-c73-dxd
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/szl-rvf-l4q
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jjh-yym-edg
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8s7-826-csa
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/906-x2a-c7q
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bv1-wx2-fjy
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zww-hx6-tfq
title: †Fenestella Lonsdale, 1839

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d64-mcl-3tg
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p2g-jyy-ypq
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/grd-zhy-fc3
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.ycqpwa
title: Occurrence Download

description: A dataset containing 567 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Identificación de insectos plaga y benéficos del café en Colombia"
 ]
}

 The dataset includes 567 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003760-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4n7n3
title: Occurrence Download

description: A dataset containing 4253055 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 4253055 records from 724 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271523-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ft25s
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((126.35850 -11.95349,153.64150 -11.95349,153.64150 -1.04651,126.35850 -1.04651,126.35850 -11.95349))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alangium ferrugineum C.T.White"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275188-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.an5gep
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Tabanus regularis Jaennicke, 1866"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0283446-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgpj6a
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coronella austriaca Laurenti, 1768",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2022",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 147 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271547-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1376222.10fu
title: SH1376222.10FU

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/sh1376224.10fu
title: SH1376224.10FU

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/sh1376225.10fu
title: SH1376225.10FU

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: 10.5281/zenodo.18229272
title: LINF_310013400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18229273
title: LINF_310013400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.15156/bio/sh1376226.10fu
title: SH1376226.10FU

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/sh1376228.10fu
title: SH1376228.10FU

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/sh1376229.10fu
title: SH1376229.10FU

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/sh1376230.10fu
title: SH1376230.10FU

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.fmypbw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis palustris stricta, Agrostis polymorpha, Agrostis polymorpha breviligulata, Agrostis polymorpha capillaris, Agrostis polymorpha pumila, Agrostis polymorpha stricta, Agrostis polymorpha sylvatica, Agrostis pumila, Agrostis pumila aristata, Agrostis pumila aristata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012598-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb29zs
title: Occurrence Download

description: A dataset containing 911 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombylius venosus"
 ]
}

 The dataset includes 911 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012599-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyf8tb
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Streptanthus purpureus"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012600-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28890938.v1
title: Data for '<b>Electrophysiological recordings reveal photoreceptor coupling in the dorsal rim areas of honeybee and bumblebee eyes</b>'

description: <b>Electrophysiological recordings reveal photoreceptor coupling in the dorsal rim areas of honeybee and bumblebee eyes</b>
DOI: 10.15468/dl.pbcswf
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012601-250711103210423/datasets/export for details.
DOI: 10.6084/m9.figshare.29561942
title: StreamFuels: Continuously updated fuel sales datasets for forecasting, classification, and pattern analysis

description: Description of the data and file structureWe are providing 5 datasets in TSF (time series format).All files include the series name, start and end timestamps, product type, and the time series values.<b>NOTE:</b> These datasets have values ​​updated until May 2025. To obtain the updated datasets, consider using the StreamFuels package, available at https://pypi.org/project/streamfuels/Files and variablesFile: yearly_fuel_sales_by_state.tsf<b>Description:</b> comprises 216 time series capturing the yearly historical sales of eight fuel products – ethanol, regular gasoline (gasoline-r), aviation gasoline (gasoline-a), liquefied petroleum gas (LPG), aviation kerosene (kerosene-a), illuminating kerosene (kerosene-i), fuel oil, and diesel – across 27 Brazilian states. Among these time series, 135 have records dating back to 1947, while 27 series begin in 1953, another 27 in 1959, and the remaining 27 in 1980.File: monthly_oilgas_operations_by_state.tsf<b>Description:</b> comprises 76 time series capturing the monthly records of five types of industrial operations – production, reinjection, flaring, self-consumption, and availability – for three products: natural gas, petroleum, and natural gas liquid (NGL), across the 27 Brazilian states. Only natural gas includes all five operations, while petroleum and NGL are limited to the production operation. Of the total, 31 series started in 1997, while the remaining 45 date back to 2000.File: yearly_fuel_sales_by_city.tsf<b>Description:</b> comprises 29,282 time series capturing the yearly sales of eight fuels and asphalt (a petroleum derivative) across 5,325 Brazilian cities. Most of the series begins in 1990 and 1992. However, we have some recent series that began in 2018.File: fuel_type_classification.tsf<b>Description:</b> comprises 14,032 time series, each with a fixed length of 12 observations (i.e., one year of sales) and eight possible class labels. Among the five datasets, it is the only one that is labeled, with each series associated with a specific fuel type.File: monthly_fuel_sales_by_state.tsf<b>Description:</b> comprises 216 time series capturing the monthly historical sales of eight fuel products across Brazil’s 27 states. All the time series dating back to 1990.Code/softwareAll the codes to collect and preprocessing the data are available at https://github.com/lucas-castrow/streamfuels/Access informationOther publicly accessible locations of the data:https://github.com/lucas-castrow/datasets_streamfuelsData was derived from the following sources:https://www.gov.br/anp/en/https://www.gov.br/anp/pt-br/centrais-de-conteudo/dados-abertos/vendas-de-derivados-de-petroleo-e-biocombustiveis
DOI: 10.6084/m9.figshare.29561942.v1
title: StreamFuels: Continuously updated fuel sales datasets for forecasting, classification, and pattern analysis

description: Description of the data and file structureWe are providing 5 datasets in TSF (time series format).All files include the series name, start and end timestamps, product type, and the time series values.<b>NOTE:</b> These datasets have values ​​updated until May 2025. To obtain the updated datasets, consider using the StreamFuels package, available at https://pypi.org/project/streamfuels/Files and variablesFile: yearly_fuel_sales_by_state.tsf<b>Description:</b> comprises 216 time series capturing the yearly historical sales of eight fuel products – ethanol, regular gasoline (gasoline-r), aviation gasoline (gasoline-a), liquefied petroleum gas (LPG), aviation kerosene (kerosene-a), illuminating kerosene (kerosene-i), fuel oil, and diesel – across 27 Brazilian states. Among these time series, 135 have records dating back to 1947, while 27 series begin in 1953, another 27 in 1959, and the remaining 27 in 1980.File: monthly_oilgas_operations_by_state.tsf<b>Description:</b> comprises 76 time series capturing the monthly records of five types of industrial operations – production, reinjection, flaring, self-consumption, and availability – for three products: natural gas, petroleum, and natural gas liquid (NGL), across the 27 Brazilian states. Only natural gas includes all five operations, while petroleum and NGL are limited to the production operation. Of the total, 31 series started in 1997, while the remaining 45 date back to 2000.File: yearly_fuel_sales_by_city.tsf<b>Description:</b> comprises 29,282 time series capturing the yearly sales of eight fuels and asphalt (a petroleum derivative) across 5,325 Brazilian cities. Most of the series begins in 1990 and 1992. However, we have some recent series that began in 2018.File: fuel_type_classification.tsf<b>Description:</b> comprises 14,032 time series, each with a fixed length of 12 observations (i.e., one year of sales) and eight possible class labels. Among the five datasets, it is the only one that is labeled, with each series associated with a specific fuel type.File: monthly_fuel_sales_by_state.tsf<b>Description:</b> comprises 216 time series capturing the monthly historical sales of eight fuel products across Brazil’s 27 states. All the time series dating back to 1990.Code/softwareAll the codes to collect and preprocessing the data are available at https://github.com/lucas-castrow/streamfuels/Access informationOther publicly accessible locations of the data:https://github.com/lucas-castrow/datasets_streamfuelsData was derived from the following sources:https://www.gov.br/anp/en/https://www.gov.br/anp/pt-br/centrais-de-conteudo/dados-abertos/vendas-de-derivados-de-petroleo-e-biocombustiveis
DOI: 10.6084/m9.figshare.29561942.v2
title: StreamFuels: Continuously updated fuel sales datasets for forecasting, classification, and pattern analysis

description: Description of the data and file structureWe are providing 5 datasets in TSF (time series format).All files include the series name, start and end timestamps, product type, and the time series values.<b>NOTE:</b> These datasets have values ​​updated until May 2025. To obtain the updated datasets, consider using the StreamFuels package, available at https://pypi.org/project/streamfuels/Files and variablesFile: yearly_fuel_sales_by_state.tsf<b>Description:</b> comprises 216 time series capturing the yearly historical sales of eight fuel products – ethanol, regular gasoline (gasoline-r), aviation gasoline (gasoline-a), liquefied petroleum gas (LPG), aviation kerosene (kerosene-a), illuminating kerosene (kerosene-i), fuel oil, and diesel – across 27 Brazilian states. Among these time series, 135 have records dating back to 1947, while 27 series begin in 1953, another 27 in 1959, and the remaining 27 in 1980.File: monthly_oilgas_operations_by_state.tsf<b>Description:</b> comprises 76 time series capturing the monthly records of five types of industrial operations – production, reinjection, flaring, self-consumption, and availability – for three products: natural gas, petroleum, and natural gas liquid (NGL), across the 27 Brazilian states. Only natural gas includes all five operations, while petroleum and NGL are limited to the production operation. Of the total, 31 series started in 1997, while the remaining 45 date back to 2000.File: yearly_fuel_sales_by_city.tsf<b>Description:</b> comprises 29,282 time series capturing the yearly sales of eight fuels and asphalt (a petroleum derivative) across 5,325 Brazilian cities. Most of the series begins in 1990 and 1992. However, we have some recent series that began in 2018.File: fuel_type_classification.tsf<b>Description:</b> comprises 14,032 time series, each with a fixed length of 12 observations (i.e., one year of sales) and eight possible class labels. Among the five datasets, it is the only one that is labeled, with each series associated with a specific fuel type.File: monthly_fuel_sales_by_state.tsf<b>Description:</b> comprises 216 time series capturing the monthly historical sales of eight fuel products across Brazil’s 27 states. All the time series dating back to 1990.Code/softwareAll the codes to collect and preprocessing the data are available at https://github.com/lucas-castrow/streamfuels/Access informationOther publicly accessible locations of the data:https://github.com/lucas-castrow/datasets_streamfuelsData was derived from the following sources:https://www.gov.br/anp/en/https://www.gov.br/anp/pt-br/centrais-de-conteudo/dados-abertos/vendas-de-derivados-de-petroleo-e-biocombustiveis