cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fnent6
title: Occurrence Download

description: A dataset containing 1638 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paspalum pilosum Lam."
 ]
}

 The dataset includes 1638 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062257-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmuzba
title: Occurrence Download

description: A dataset containing 2467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nissolia Jacq.",
 "Year 1995-2023"
 ]
}

 The dataset includes 2467 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013302-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rt2x8e
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN",
 "TaxonKey is Paris forrestii (Takht.) H.Li"
 ]
}

 The dataset includes 83 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215493-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zsy6e4
title: Occurrence Download

description: A dataset containing 2273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Foraminifera"
 ]
}

 The dataset includes 2273 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098069-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xyetf
title: Occurrence Download

description: A dataset containing 488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Ara ambiguus",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 488 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062272-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwccy3
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Aspidosiphoniformes",
 "Year 1980-2023"
 ]
}

 The dataset includes 150 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215519-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyv6z5
title: Occurrence Download

description: A dataset containing 1230895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((120.87036 -17.63011,137.6021 -17.75857,137.5446 -6.42395,120.95799 -6.61777,120.87036 -17.63011))",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 1230895 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023595-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msgbts
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterostylis umbrina (D.L.Jones) G.N.Backh."
 ]
}

 The dataset includes 45 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098052-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffr2qa
title: Occurrence Download

description: A dataset containing 10274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Ara militaris",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 10274 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062282-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t55dw6
title: Occurrence Download

description: A dataset containing 18263413 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Turdus migratorius Linnaeus, 1766"
 ]
}

 The dataset includes 18263413 records from 238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023602-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y26f2n
title: Occurrence Download

description: A dataset containing 243615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Sphagnum L., Lygodium Sw.)",
 "Year 1900-1990"
 ]
}

 The dataset includes 243615 records from 488 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098048-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3eialg
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025235-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aisiak
title: Occurrence Download

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

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035080-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpenxk
title: Occurrence Download

description: A dataset containing 171321822 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plantae"
 ]
}

 The dataset includes 171321822 records from 3125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052192-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9b59f
title: Occurrence Download

description: A dataset containing 1002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tropidurus oreadicus"
 ]
}

 The dataset includes 1002 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004705-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzezyr
title: Occurrence Download

description: A dataset containing 45546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pododesmus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 45546 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004706-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9hruz
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Sardinella atricauda"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004707-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spe98k
title: Occurrence Download

description: A dataset containing 2616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Agrostis rupestris",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2616 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004708-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e246234
title: Department of Nursing Sciences, Arthur Jarvis University, Akwa Ikot Efanga, Cross Rivers State.2026/2027 Admission Form/Application Form Is Out Call the Registrar (09024168245)09024168245(09024168245) For More Details On How To Apply And Register Online.

description: Department of Nursing Sciences, Arthur Jarvis University, Akwa Ikot Efanga, Cross Rivers State.2026/2027 Admission Form/Application Form Is Out Call the Registrar (09024168245)09024168245(09024168245) For More Details On How To Apply And Register Online. The Management Of The School Hereby Inform The general Public On The Sales Of The General Nursing Admission Form Into The School Of Nursing, And Also The Sales Of Two (2) Years Post Basic Nursing Program. Contact The Educational Board Admin On (09024168245) For More Details On How To Purchase The Form And Register Online. REQUIREMENT FOR THE THREE YEARS GENERAL NURSING PROGRAMMES1. GENERAL NURSING PROGRAMME Admission Requirements Candidates For Admission Into The General Nursing Program Of The Nursing And Midwifery Council Of Nigeria Must Posses The …
DOI: 10.15468/dl.ce9qm8
title: Occurrence Download

description: A dataset containing 12339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paracentrotus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12339 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004709-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/gfck18
title: QAS_Uv3_day.csv

description: Uploaded with pyDataverse 2024-04-11 15:09
DOI: 10.22008/fk2/iw73uu/m5kqdz
title: QAS_U_month.nc

description: Uploaded with pyDataverse 2024-04-11 15:09
DOI: 10.22008/fk2/iw73uu/y7uqby
title: QAS_Uv3_hour.csv

description: Uploaded with pyDataverse 2024-04-11 15:09
DOI: 10.22008/fk2/iw73uu/uaouzj
title: QAS_Uv3_month.csv

description: Uploaded with pyDataverse 2024-04-11 15:09
DOI: 10.22008/fk2/iw73uu/nlckow
title: QAS_Uv3_hour.nc

description: Uploaded with pyDataverse 2024-04-11 15:09
DOI: 10.22008/fk2/iw73uu/cbu3ue
title: QAS_Uv3_day.nc

description: Uploaded with pyDataverse 2024-04-11 15:09
DOI: 10.22008/fk2/iw73uu/mk2fpe
title: SCO_L_day.csv

description: Uploaded with pyDataverse 2024-04-11 15:10
DOI: 10.22008/fk2/iw73uu/tr6id0
title: QAS_Uv3_month.nc

description: Uploaded with pyDataverse 2024-04-11 15:09
DOI: 10.5281/zenodo.18673652
title: Dataset: Air Quality Dataset for Istanbul (2013-01-01 to 2026-02-17)

description: This dataset contains historical air quality time series for Istanbul covering 2013-01-01 to 2026-02-17. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Istanbul, compare Istanbul with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_europe domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.22008/fk2/iw73uu/hnt1se
title: SCO_L_hour.csv

description: Uploaded with pyDataverse 2024-04-11 15:10
DOI: 10.22008/fk2/iw73uu/rnit0g
title: SCO_L_month.csv

description: Uploaded with pyDataverse 2024-04-11 15:10
DOI: 10.5281/zenodo.18673651
title: Dataset: Air Quality Dataset for Istanbul (2013-01-01 to 2026-02-17)

description: This dataset contains historical air quality time series for Istanbul covering 2013-01-01 to 2026-02-17. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Istanbul, compare Istanbul with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_europe domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.22008/fk2/iw73uu/ozthea
title: SCO_L_hour.nc

description: Uploaded with pyDataverse 2024-04-11 15:10
DOI: 10.22008/fk2/iw73uu/wbm5et
title: SCO_L_day.nc

description: Uploaded with pyDataverse 2024-04-11 15:10
DOI: 10.22008/fk2/iw73uu/fmoarr
title: SCO_L_month.nc

description: Uploaded with pyDataverse 2024-04-11 15:10
DOI: 10.22008/fk2/iw73uu/6uhmpa
title: SCO_U_day.csv

description: Uploaded with pyDataverse 2024-04-11 15:11
DOI: 10.22008/fk2/iw73uu/h7yetb
title: SCO_U_hour.csv

description: Uploaded with pyDataverse 2024-04-11 15:11
DOI: 10.22008/fk2/iw73uu/oiakxt
title: SCO_U_month.csv

description: Uploaded with pyDataverse 2024-04-11 15:11
DOI: 10.22008/fk2/iw73uu/5qyhw7
title: SCO_U_day.nc

description: Uploaded with pyDataverse 2024-04-11 15:11
DOI: 10.22008/fk2/iw73uu/c0vjxr
title: SCO_U_hour.nc

description: Uploaded with pyDataverse 2024-04-11 15:11
DOI: 10.22008/fk2/iw73uu/fkwpaw
title: SCO_U_month.nc

description: Uploaded with pyDataverse 2024-04-11 15:11
DOI: 10.22008/fk2/iw73uu/pyywaf
title: SDL_day.csv

description: Uploaded with pyDataverse 2024-04-11 15:12
DOI: 10.22008/fk2/iw73uu/afv5ya
title: SDL_month.csv

description: Uploaded with pyDataverse 2024-04-11 15:12
DOI: 10.22008/fk2/iw73uu/vnmv3i
title: SDL_hour.csv

description: Uploaded with pyDataverse 2024-04-11 15:12
DOI: 10.15156/bio/sh1400068.10fu
title: SH1400068.10FU

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/sh1400069.10fu
title: SH1400069.10FU

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.82b5ny
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"BRA.13.51_2","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006118-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1400071.10fu
title: SH1400071.10FU

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/sh1400072.10fu
title: SH1400072.10FU

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/sh1400073.10fu
title: SH1400073.10FU

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/sh1400074.10fu
title: SH1400074.10FU

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.