cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.m7rsd3
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paspalum racemosum Lam.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 68 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068618-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6chcy5
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exochaenium debile Welw."
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122061-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dq4ka4
title: Occurrence Download

description: A dataset containing 1240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Material sample, Occurrence evidence)",
 "TaxonKey is Bombus variabilis (Cresson, 1872)"
 ]
}

 The dataset includes 1240 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017683-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6eygph
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galitzkya potaninii (Maxim.) V.V.Botschantz."
 ]
}

 The dataset includes 25 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0222989-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apmtrd
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhigiophyllum squarrosum Hochst."
 ]
}

 The dataset includes 79 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102127-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cagqde
title: Occurrence Download

description: A dataset containing 13504 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Desmodium incanum (Sw.) DC."
 ]
}

 The dataset includes 13504 records from 405 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034873-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqc934
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panax stipuleanatus C.T.Tsai & K.M.Feng"
 ]
}

 The dataset includes 58 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0223000-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8edkz
title: Occurrence Download

description: A dataset listing the 3877470 species recorded in GBIF matching the query:
{ }

 The dataset's 3877470 records were derived from 58706 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210225-230224095556074/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/abbj7p
title: KPC_U_month.nc

description: Uploaded with pyDataverse 2025-09-01 14:02
DOI: 10.22008/fk2/iw73uu/kxfdg5
title: KPC_U_hour.csv

description: Uploaded with pyDataverse 2025-09-01 14:03
DOI: 10.22008/fk2/iw73uu/zdmkfv
title: KPC_U_day.nc

description: Uploaded with pyDataverse 2025-09-01 14:03
DOI: 10.5281/zenodo.18674105
title: Dataset: Air Quality Dataset for Saint Petersburg (2013-01-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Saint Petersburg covering 2013-01-01 to 2026-02-18. 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 Saint Petersburg, compare Saint Petersburg 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/fo1hmh
title: KPC_U_month.csv

description: Uploaded with pyDataverse 2025-09-01 14:03
DOI: 10.5281/zenodo.18674104
title: Dataset: Air Quality Dataset for Saint Petersburg (2013-01-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Saint Petersburg covering 2013-01-01 to 2026-02-18. 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 Saint Petersburg, compare Saint Petersburg 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/ixjwx9
title: KPC_U_hour.nc

description: Uploaded with pyDataverse 2025-09-01 14:03
DOI: 10.22008/fk2/iw73uu/m65kqs
title: KPC_U_day.csv

description: Uploaded with pyDataverse 2025-09-01 14:04
DOI: 10.22008/fk2/iw73uu/z7rb53
title: RED_L_month.nc

description: Uploaded with pyDataverse 2025-09-01 14:04
DOI: 10.22008/fk2/iw73uu/urcgqo
title: RED_L_hour.csv

description: Uploaded with pyDataverse 2025-09-01 14:04
DOI: 10.22008/fk2/iw73uu/dkevtr
title: RED_L_month.csv

description: Uploaded with pyDataverse 2025-09-01 14:04
DOI: 10.22008/fk2/iw73uu/zoszri
title: RED_L_hour.nc

description: Uploaded with pyDataverse 2025-09-01 14:05
DOI: 10.15468/dl.gqteue
title: Occurrence Download

description: A dataset containing 896298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chordata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2025",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "CoordinateUncertaintyInMeters is less than or equal to 500",
 "Geometry POLYGON ((-122.0845 36.95303, -122.0256 36.95911, -121.9633 36.96102, -121.9256 36.97618, -121.8504 36.91305, -121.79 36.79966, -121.838 36.63447, -121.8791 36.60162, -121.9383 36.63875, -121.9619 36.6027, -121.9628 36.59337, -121.9765 36.57865, -121.9587 36.56519, -121.9417 36.56608, -121.9331 36.56003, -121.926 36.52414, -121.9548 36.52378, -121.938 36.50495, -121.9412 36.49518, -121.9408 36.48618, -121.9389 36.47696, -121.9331 36.46842, -121.9056 36.39551, -121.9028 36.37038, -121.8996 36.30286, -121.8391 36.2595, -121.8359 36.25083, -121.6774 36.16376, -121.6718 36.15587, -121.6636 36.14949, -121.5634 36.0204, -121.497 35.99, -121.4514 35.87858, -121.3256 35.77052, -121.301 35.70021, -121.2752 35.66548, -121.2641 35.66315, -121.1934 35.64193, -121.1482 35.61476, -121.0425 35.49545, -121.0169 35.47513, -121.0079 35.46386, -120.9866 35.46152, -120.9709 35.45961, -120.8873 35.43358, -120.8639 35.34186, -120.8958 35.27078, -120.8956 35.2616, -120.8709 35.22166, -120.8612 35.21644, -120.8485 35.2046, -120.8381 35.19889, -120.7562 35.1639, -120.735 35.17832, -120.7235 35.17501, -120.7116 35.17489, -120.6428 35.13673, -120.6348 35.02578, -120.666 34.90098, -120.6393 34.88653, -120.6326 34.87627, -120.6106 34.84026, -120.613 34.8304, -120.6351 34.75478, -120.604 34.69289, -120.645 34.58474, -120.6427 34.57589, -120.6271 34.55759, -120.5626 34.54743, -120.5539 34.54174, -120.4991 34.50314, -120.4596 34.4475, -120.2089 34.47053, -119.9971 34.45516, -119.8591 34.40915, -119.7762 34.41309, -119.711 34.3956, -119.6499 34.41751, -119.6384 34.41569, -119.5486 34.4058, -119.4266 34.35118, -119.3853 34.31857, -119.3713 34.3201, -119.2705 34.25435, -119.217 34.14808, -119.1854 34.1362, -119.1098 34.09565, -119.025 34.07693, -118.9283 34.04832, -118.6525 34.10034, -118.4016 34.20939, -118.1924 34.36825, -118.0391 34.56634, -117.9524 34.79037, -117.9148 35.31014, -117.9307 35.40489, -117.8558 35.60466, -117.8417 35.83938, -117.903 36.06902, -118.0361 36.27783, -118.2324 36.45138, -118.4786 36.57757, -118.7576 36.64755, -119.0498 36.65642, -119.1657 36.64256, -119.4404 36.79689, -119.552 36.84243, -119.6544 37.03587, -119.7672 37.16472, -119.8073 37.40931, -119.92 37.6264, -120.1006 37.81269, -120.3368 37.95521, -120.6124 38.04399, -120.9081 38.07278, -121.2029 38.03953, -121.4763 37.94661, -121.709 37.80055, -121.885 37.61157, -121.9925 37.39282, -122.0827 37.12262, -122.0845 36.95303))"
 ]
}

 The dataset includes 896298 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025050-260208012135463/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/u19rii
title: RED_L_day.csv

description: Uploaded with pyDataverse 2025-09-01 14:05
DOI: 10.22008/fk2/iw73uu/xp0mtk
title: RED_L_day.nc

description: Uploaded with pyDataverse 2025-09-01 14:05
DOI: 10.22008/fk2/iw73uu/o7zxku
title: TAS_A_month.nc

description: Uploaded with pyDataverse 2025-09-01 14:06
DOI: 10.22008/fk2/iw73uu/1bqqad
title: TAS_A_month.csv

description: Uploaded with pyDataverse 2025-09-01 14:06
DOI: 10.22008/fk2/iw73uu/4jiqd9
title: TAS_A_day.nc

description: Uploaded with pyDataverse 2025-09-01 14:06
DOI: 10.22008/fk2/iw73uu/mbkbql
title: TAS_A_hour.csv

description: Uploaded with pyDataverse 2025-09-01 14:06
DOI: 10.22008/fk2/iw73uu/iiogqr
title: TAS_A_hour.nc

description: Uploaded with pyDataverse 2025-09-01 14:07
DOI: 10.22008/fk2/iw73uu/s2bbcc
title: TAS_A_day.csv

description: Uploaded with pyDataverse 2025-09-01 14:07
DOI: 10.22008/fk2/iw73uu/q4w9fe
title: NUK_N_hour.nc

description: Uploaded with pyDataverse 2025-09-01 14:07
DOI: 10.22008/fk2/iw73uu/2r1ra2
title: NUK_N_day.csv

description: Uploaded with pyDataverse 2025-09-01 14:07
DOI: 10.15156/bio/sh1403859.10fu
title: SH1403859.10FU

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/sh1403861.10fu
title: SH1403861.10FU

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/sh1403866.10fu
title: SH1403866.10FU

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/sh1403867.10fu
title: SH1403867.10FU

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/sh1403868.10fu
title: SH1403868.10FU

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/sh1403869.10fu
title: SH1403869.10FU

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/sh1403870.10fu
title: SH1403870.10FU

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: 10.17630/715cb8e1-d12f-4163-8702-82873da3dac5
title: Chemoselectivity and Enantioselectivity in the Conjugate Reduction of Cinnamate esters and a Tandem Conjugate-Reduction-Ester Hydrogenation using Manganese Catalysts (dataset)

description: The dataset contains the NMR data for the catalysis products obtained after reduction with a Mn complex. Chemoselective hydrogenation of the C=C bonds of t-butyl cinnamate esters can be realised using Mn/phosphino-ferrocenyl-amino-methyl-pyridine catalysts. Moderately enantioselective conjugate reduction of a trisubstituted cinnamate ester is possible. Alternatively, tandem conjugate reduction-ester hydrogenation with very high sequence selectivity (&lt;1% allylic alcohol by-product) can be realised.
DOI: 10.15468/dl.gkqdkn
title: Occurrence Download

description: A dataset containing 1052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anaptychia runcinata)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 1052 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024508-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.252934
title: Downhole temperature in ODP Hole 167-1022A
DOI: 10.1594/pangaea.253139
title: Color reflectance of ODP Hole 160-967D
DOI: 10.1594/pangaea.254721
title: Core/Section summary of ODP Hole 171-1052E
DOI: 10.1594/pangaea.253155
title: Color reflectance of ODP Hole 161-974A
DOI: 10.1594/pangaea.256403
title: Geochemistry of interstitial water of ODP Hole 207-1260B
DOI: 10.1594/pangaea.254652
title: Core/Section summary of ODP Hole 168-1026B
DOI: 10.1594/pangaea.256351
title: Geochemistry of interstitial water of ODP Hole 201-1231E
DOI: 10.1594/pangaea.253960
title: Core/Section summary of ODP Hole 124-777F
DOI: 10.1594/pangaea.256371
title: Geochemistry of interstitial water of ODP Hole 204-1246B
DOI: 10.15468/dl.68afvq
title: Occurrence Download

description: A dataset containing 635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Alpaida gallardoi"
 ]
}

 The dataset includes 635 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023508-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.255297
title: Core/Section summary of ODP Hole 209-1269B
DOI: 10.1594/pangaea.256188
title: Geochemistry of interstitial water of ODP Hole 175-1084A
DOI: 10.1594/pangaea.256728
title: Gas elements of ODP Hole 125-779B
DOI: 10.1594/pangaea.256117
title: Geochemistry of interstitial water of ODP Hole 169-1036A
DOI: 10.1594/pangaea.255570
title: Geochemistry of interstitial water of ODP Hole 112-679E
DOI: 10.1594/pangaea.256225
title: Geochemistry of interstitial water of ODP Hole 180-1115C
DOI: 10.1594/pangaea.255571
title: Geochemistry of interstitial water of ODP Hole 112-680A
DOI: 10.1594/pangaea.314942
title: Range table from nannofossils in ODP Hole 172-1062H
DOI: 10.1594/pangaea.255277
title: Core/Section summary of ODP Hole 208-1262B
DOI: 10.1594/pangaea.255284
title: Core/Section summary of ODP Hole 208-1264B
DOI: 10.1594/pangaea.257272
title: Gas elements of ODP Hole 182-1130A
DOI: 10.1594/pangaea.265828
title: Magnetic susceptibility on ODP Hole 155-938B
DOI: 10.1594/pangaea.255313
title: Core/Section summary of ODP Hole 209-1275D
DOI: 10.1594/pangaea.255728
title: Geochemistry of interstitial water of ODP Hole 125-782A
DOI: 10.1594/pangaea.253793
title: Core/Section summary of ODP Hole 114-702B
DOI: 10.1594/pangaea.254530
title: Core/Section summary of ODP Hole 162-984D
DOI: 10.1594/pangaea.253564
title: Results of tensor tool (cores) at Hole 208-1263A
DOI: 10.1594/pangaea.258158
title: Moisture and density measured on ODP Hole 110-671A

description: Method A: wet-bulk volume measured with special volume sampler; method B: wet-bulk volume measured by gas pycnometry; method C: dry volume measured by gas pycnometry
DOI: 10.1594/pangaea.257301
title: Gas elements of ODP Hole 188-1165C
DOI: 10.1594/pangaea.257290
title: Gas elements of ODP Hole 184-1146A
DOI: 10.1594/pangaea.260006
title: Gamma-ray attenuation measurements of bulk density using whole-core multi-sensing track on ODP Hole 164-994C
DOI: 10.1594/pangaea.254043
title: Core/Section summary of ODP Hole 133-811C
DOI: 10.1594/pangaea.259208
title: Results of rock eval carbon analysis on ODP Hole 112-684C
DOI: 10.1594/pangaea.258245
title: Moisture and density measured on ODP Hole 117-721A

description: Method A: wet-bulk volume measured with special volume sampler; method B: wet-bulk volume measured by gas pycnometry; method C: dry volume measured by gas pycnometry
DOI: 10.1594/pangaea.259097
title: Moisture and density measured on ODP Hole 204-1245E

description: Method A: wet-bulk volume measured with special volume sampler; method B: wet-bulk volume measured by gas pycnometry; method C: dry volume measured by gas pycnometry