cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.n32xu3
title: Occurrence Download

description: A dataset containing 170997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alopecurus pratensis L.)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 170997 records from 1020 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220534-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sga3cx
title: Occurrence Download

description: A dataset containing 1868 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)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Crocus chrysanthus)"
 ]
}

 The dataset includes 1868 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020086-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15170935
title: Global Total Projected Leaf Area Index Subset from the Community Land Model Version 5 (CLM5) Perturbed Parameter Ensemble Members, 1850-2015

description: Description

This dataset contains a subset of total projected leaf area index (LAI) simulations derived from a 500-member Perturbed Parameter Ensemble (PPE) generated using the Community Land Model version 5 (CLM5). The data spans from February 1850 to January 2015 and covers 400 global sparse grid cells at a 4° × 5° resolution. Each ensemble member reflects a unique configuration of 32 perturbed parameters relevant to stomatal conductance, photosynthesis, hydrology, biogeochemistry, and phenology.

This LAI subset was produced by the Climate and Global Dynamics (CGD) Laboratory at the National Center for Atmospheric Research (NCAR) using GSWP3 meteorological forcing. The ensemble was constructed using Latin Hypercube Sampling to enable systematic exploration of parametric uncertainty in CLM5, with the goal of supporting sensitivity analysis, emulation, and machine learning-based surrogate modeling.

These LAI outputs were used to train an Evidential Deep Neural Network (EDNN) emulator developed under the EDNN LAI project, which aims to reproduce LAI dynamics while quantifying both aleatoric and epistemic uncertainty. The subset facilitates efficient emulation and enables uncertainty-aware exploration of vegetation-climate interactions.

Dataset Characteristics





Temporal Coverage: 1850-02 to 2015-01




Spatial Coverage: Global (subset of 400 sparse grid cells)




Variables:





TLAI: Total Projected Leaf Area Index (m²/m²)






Dimensions:





member: 500 ensemble members




time: Monthly time steps (1980 months total)




gridcell: 400 global sparse grid cells






Units: m²/m²




Cell Method: Time: mean




Coordinate System: No-leap calendar (cfTime)




Data Format: NetCDF, compatible with xarray and dask



Usage Notes

This dataset is designed for surrogate modeling applications, especially in contexts requiring uncertainty quantification or parameter sensitivity analysis. It has been used to train deep learning emulators for emulating CLM5 outputs at reduced computational cost. Users should account for the no-leap calendar and the PPE configuration when analyzing long-term trends or aggregating across ensemble members.
DOI: 10.5281/zenodo.15170936
title: Global Total Projected Leaf Area Index Subset from the Community Land Model Version 5 (CLM5) Perturbed Parameter Ensemble Members, 1850-2015

description: Description

This dataset contains a subset of total projected leaf area index (LAI) simulations derived from a 500-member Perturbed Parameter Ensemble (PPE) generated using the Community Land Model version 5 (CLM5). The data spans from February 1850 to January 2015 and covers 400 global sparse grid cells at a 4° × 5° resolution. Each ensemble member reflects a unique configuration of 32 perturbed parameters relevant to stomatal conductance, photosynthesis, hydrology, biogeochemistry, and phenology.

This LAI subset was produced by the Climate and Global Dynamics (CGD) Laboratory at the National Center for Atmospheric Research (NCAR) using GSWP3 meteorological forcing. The ensemble was constructed using Latin Hypercube Sampling to enable systematic exploration of parametric uncertainty in CLM5, with the goal of supporting sensitivity analysis, emulation, and machine learning-based surrogate modeling.

These LAI outputs were used to train an Evidential Deep Neural Network (EDNN) emulator developed under the EDNN LAI project, which aims to reproduce LAI dynamics while quantifying both aleatoric and epistemic uncertainty. The subset facilitates efficient emulation and enables uncertainty-aware exploration of vegetation-climate interactions.

Dataset Characteristics





Temporal Coverage: 1850-02 to 2015-01




Spatial Coverage: Global (subset of 400 sparse grid cells)




Variables:





TLAI: Total Projected Leaf Area Index (m²/m²)






Dimensions:





member: 500 ensemble members




time: Monthly time steps (1980 months total)




gridcell: 400 global sparse grid cells






Units: m²/m²




Cell Method: Time: mean




Coordinate System: No-leap calendar (cfTime)




Data Format: NetCDF, compatible with xarray and dask



Usage Notes

This dataset is designed for surrogate modeling applications, especially in contexts requiring uncertainty quantification or parameter sensitivity analysis. It has been used to train deep learning emulators for emulating CLM5 outputs at reduced computational cost. Users should account for the no-leap calendar and the PPE configuration when analyzing long-term trends or aggregating across ensemble members.
DOI: 10.15468/dl.272cn4
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lethe verma",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 283 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020089-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyn6qz
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arethusana boabdil)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 287 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020087-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afx4hb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Flaveria bidentis",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020092-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.hk9qp4dl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.t5tkfq
title: Occurrence Download

description: A dataset containing 2390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Balaenoptera musculus"
 ]
}

 The dataset includes 2390 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020094-250920141307145/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/13180888
title: Mahanagar Yatayat Transport Dataset
DOI: 10.15468/dl.qjzw7n
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020093-250920141307145/datasets/export for details.
DOI: 10.15468/dl.z4j8bw
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020091-250920141307145/datasets/export for details.
DOI: 10.15468/dl.2tw9g4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Argyranthemum sundingii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020100-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5ewy9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Geometry POLYGON((-97.83982 24.00431,-97.80682 21.22204,-96.091 19.05364,-94.44116 18.24077,-91.66132 18.85273,-90.13676 21.26444,-86.68643 21.4886,-88.53195 16.32886,-87.97382 15.52567,-83.90759 15.60589,-83.81624 11.67794,-82.99538 10.16182,-81.90244 9.1468,-77.13784 8.57849,-75.83105 9.40732,-75.13184 11.26559,-73.52129 11.54865,-71.34351 12.64561,-71.4755 10.77171,-69.56169 11.80716,-65.82397 10.39868,-63.29233 10.51228,-63.22633 11.03092,-63.0958 12.9132,-65.40411 15.52567,-68.70378 16.41391,-71.93745 16.28726,-73.05933 16.22391,-81.57247 18.11538,-83.88224 15.97029,-81.50648 18.17809,-83.07562 20.28916,-86.06002 22.26409,-86.84691 21.56324,-83.6373 24.58937,-84.8409 26.97347,-92.46137 26.47077,-94.83712 24.50509,-97.83982 24.00431))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Scyliorhinus retifer, Scyliorhinus retifer meadi, Scyliorhinus retifer besnardi, Scyliorhinus retifer boa, Scyliorhinus retifer haeckelii, Scyliorhinus retifer retifer)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020095-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6r28xe
title: Occurrence Download

description: A dataset containing 459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Libythea lepita",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 459 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020101-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spnynz
title: Occurrence Download

description: A dataset containing 29 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)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Crocus goulimyi)"
 ]
}

 The dataset includes 29 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020096-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p55vnu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Flaveria bidentis",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020102-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvy24n
title: Occurrence Download

description: A dataset containing 22884959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Branta canadensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 22884959 records from 1436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020034-250920141307145/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.29868518.v31
title: Logic and being pdf v1-2-3-4-5-6 NEW

description: Logic and being
DOI: 10.15468/dl.5b9xnb
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Argyranthemum winteri)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020103-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nehp8
title: Occurrence Download

description: A dataset containing 193 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)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Crocus korolkowii)"
 ]
}

 The dataset includes 193 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020104-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xxd5a
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cereus jamacaru",
 "Country is Ethiopia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020108-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cbs8z
title: Occurrence Download

description: A dataset containing 7768909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Columba palumbus Linnaeus, 1758"
 ]
}

 The dataset includes 7768909 records from 6876 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017746-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18046938
title: anas_eatoni_spades_01.fasta.gz
DOI: 10.5281/zenodo.18046937
title: anas_eatoni_spades_01.fasta.gz
DOI: 10.15156/bio/sh0182205.10fu
title: SH0182205.10FU

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/sh0182206.10fu
title: SH0182206.10FU

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/sh0182207.10fu
title: SH0182207.10FU

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/sh0182208.10fu
title: SH0182208.10FU

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/sh0182209.10fu
title: SH0182209.10FU

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/sh0182210.10fu
title: SH0182210.10FU

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.