cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4tf9sw
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043365-250920141307145/datasets/export for details.
DOI: 10.26023/9m9m-32b6-2p0e
title: T-PARC: DMSP Total Precipitable Water Imagery. Version 1.0

description: This data set contains composite SSM/I Total Precipitable Water (TPW) and TPW anomaly imagery from the DMSP satellites. The product was developed by NRL for the T-PARC region and time period.
DOI: 10.5281/zenodo.17257941
title: Dataset for Machine Learning-Based Experimental Design"

description: This dataset contains 3102 experimental measurements . It was used to evaluate a two-stage experimental design approach combining cluster-based data reduction and machine learning models for accurate prediction of optical band gap values
DOI: 10.5281/zenodo.17257942
title: Dataset for Machine Learning-Based Experimental Design"

description: This dataset contains 3102 experimental measurements . It was used to evaluate a two-stage experimental design approach combining cluster-based data reduction and machine learning models for accurate prediction of optical band gap values
DOI: 10.5281/zenodo.17257918
title: Reconnect social contact data

description: Social contact data for the UK from the Reconnect social contact survey.
DOI: 10.20383/103.01306
title: Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): Streamflow observations, forcing data and geospatial data for hydrologic studies across North America

description: This resource contains the CAMELS-SPAT data set. CAMELS-SPAT provides data that can support hydrologic modeling and analysis for 1426 streamflow measurement stations located across the United States and Canada. The area upstream of each station has been divided into various subbasins. The provided data include: (1) shapefiles outlining the location of each basin and its subbasins, (2) streamflow observations at daily and hourly resolution at the outlet of each basin, (3) meteorological data from 4 different data sets (RDRS, EM-Earth, ERA5, Daymet), at their native gridded resolution as well as averaged to the basin and subbasin level, (4) geospatial data from 11 different data at their native gridded resolution, and (5) statistical summaries (i.e. catchment attributes) calculated from the streamflow, meteorological and geospatial data at the basin and subbasin level. Data set structure is described in the README found in this repository. Data set development is described in Knoben et al (under review; https://doi.org/10.5194/egusphere-2025-893). When using the CAMELS-SPAT data, please follow the attribution guidelines provided in Section 6 in this paper (briefly, individual attribution of any data set included in CAMELS-SPAT is requested if this data is used). BibTeX entries for the individual data sources aggregated in CAMELS-SPAT are provided in the citation.bib file found in this repository. Temporary reference: Knoben, W. J. M., Keshavarz, K., Torres-Rojas, L., Thébault, C., Chaney, N. W., Pietroniro, A., and Clark, M. P.: Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): Streamflow observations, forcing data and geospatial data for hydrologic studies across North America, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-893, 2025
DOI: 10.5281/zenodo.17253857
title: Ontology-guided PLC Control Logic Relationship Graph Decoder

description: Ontology graphs, hierarchical relationships of variables, and control logic decoded from raw L5X PLC files.
DOI: 10.5281/zenodo.17253858
title: Ontology-guided PLC Control Logic Relationship Graph Decoder

description: Ontology graphs, hierarchical relationships of variables, and control logic decoded from raw L5X PLC files.
DOI: 10.26023/84pe-a44j-hx00
title: T-PARC: NOAA POES AMSU Total Precipitable Water Imagery. Version 1.0

description: This data set contains composite AMSU Total Precipitable Water (TPW) and TPW anomaly imagery from the NOAA POES satellites. The product was developed by NRL for the T-PARC region and time period.
DOI: 10.7275/yh0f-er06
title: Data and Code for "Geometrically Frustrated, Mechanical Metamaterial Membranes: Large-Scale Stress Accumulation and Size Selective Assembly
DOI: 10.15468/dl.46fwbh
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerastium arvense x tomentosum",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043369-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4akj8d
title: Occurrence Download

description: A dataset containing 707 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Pseudosenefeldera"
 ]
}

 The dataset includes 707 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043370-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17225305
title: Integrating satellite data and field surveys to predict bird communities in the Peruvian Amazon

description: This repository will contain the datasets and R scripts used in Slater et al. (in review), ‘Integrating satellite data and field surveys to predict bird communities in the Peruvian Amazon’.
DOI: 10.5281/zenodo.17225306
title: Integrating satellite data and field surveys to predict bird communities in the Peruvian Amazon

description: This repository will contain the datasets and R scripts used in Slater et al. (in review), ‘Integrating satellite data and field surveys to predict bird communities in the Peruvian Amazon’.
DOI: 10.15468/dl.zu5ehk
title: Occurrence Download

description: A dataset containing 31076 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "OccurrenceStatus is Present",
 "TaxonKey is Juglans nigra"
 ]
}

 The dataset includes 31076 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043368-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mnjwv
title: Occurrence Download

description: A dataset containing 3988 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dikerogammarus villosus"
 ]
}

 The dataset includes 3988 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043371-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7zarf
title: Occurrence Download

description: A dataset containing 488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((35.54192 45.12806,35.71232 45.10791,35.836 45.00988,35.96151 45.01904,36.05129 45.05661,36.16489 45.03737,36.23818 45.04103,36.31239 45.0621,36.44523 45.09325,36.40675 45.15646,36.40492 45.25449,36.48279 45.31679,36.46996 45.36351,36.58265 45.3516,36.63853 45.3855,36.5744 45.42672,36.49653 45.43405,36.42691 45.44596,36.33254 45.4707,36.20062 45.46429,36.08427 45.44321,36.06228 45.38825,35.98533 45.36168,35.89005 45.39741,35.84882 45.45329,35.81218 45.42306,35.76087 45.39374,35.75355 45.35252,35.70682 45.3232,35.59689 45.30396,35.52634 45.27831,35.48562 45.28443,35.43256 45.25826,35.36355 45.25695,35.34781 45.28169,35.29082 45.29669,35.21021 45.31624,35.06011 45.35665,34.98506 45.42593,35.1063 45.48943,35.00238 45.65685,34.87538 45.70303,34.75414 45.72612,34.62714 45.8589,34.32694 46.03209,33.8882 46.10137,33.47832 45.84158,33.05689 45.72035,32.71628 45.54716,32.48536 45.41438,32.55464 45.32201,32.77401 45.33933,33.11462 45.26428,33.25317 45.16037,33.47254 45.1546,33.60532 44.93522,33.5245 44.72162,33.36286 44.54843,33.69192 44.37525,34.0152 44.38102,34.28653 44.50802,34.45972 44.73894,34.8061 44.81399,35.0832 44.80245,35.11207 44.88327,35.37187 45.00452,35.3869 45.05957,35.54192 45.12806))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cetacea",
 "Year 2000-2025"
 ]
}

 The dataset includes 488 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043373-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2zz7g
title: Occurrence Download

description: A dataset containing 15760 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Proterorhinus semilunaris"
 ]
}

 The dataset includes 15760 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043372-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0203866.10fu
title: SH0203866.10FU

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/sh0203867.10fu
title: SH0203867.10FU

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/sh0203868.10fu
title: SH0203868.10FU

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/sh0203869.10fu
title: SH0203869.10FU

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/sh0203870.10fu
title: SH0203870.10FU

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/sh0203871.10fu
title: SH0203871.10FU

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/sh0203872.10fu
title: SH0203872.10FU

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/sh0203873.10fu
title: SH0203873.10FU

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/sh0203874.10fu
title: SH0203874.10FU

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.v5yu2q
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((79.687625 18.03866, 79.613756 18.033084, 79.541719 18.016496, 79.47330100000001 17.989305, 79.410195 17.952188, 79.353962 17.906062, 79.305989 17.852071, 79.267453 17.79155, 79.23929800000001 17.725995, 79.222207 17.657024, 79.216589 17.586339, 79.22256899999999 17.515681, 79.239986 17.446789, 79.2684 17.381355, 79.307101 17.320988, 79.355132 17.267167, 79.41130800000001 17.221211, 79.47424700000001 17.184247, 79.542407 17.157179, 79.61411699999999 17.140668, 79.687625 17.13512, 79.761132 17.140668, 79.832843 17.157179, 79.90100200000001 17.184247, 79.96394100000001 17.221211, 80.020117 17.267167, 80.06814799999999 17.320988, 80.10684999999999 17.381355, 80.13526400000001 17.446789, 80.152681 17.515681, 80.15866 17.586339, 80.153042 17.657024, 80.13595100000001 17.725995, 80.10779599999999 17.79155, 80.069261 17.852071, 80.021287 17.906062, 79.96505399999999 17.952188, 79.901949 17.989305, 79.83353 18.016496, 79.761494 18.033084, 79.687625 18.03866))"},{"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 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002204-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242963
title: Westland University Iwo, Osun State 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form,

description: Westland University Iwo, Osun State 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form, Masters form, Phd form call ☎️(+23408039478772) for more inquiry and admission assistance.
DOI: 10.15156/bio/sh0203875.10fu
title: SH0203875.10FU

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.