cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.92a3wt
title: Occurrence Download

description: A dataset containing 2193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Echinochloa pyramidalis (Lam.) Hitchc. & Chase"
 ]
}

 The dataset includes 2193 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061472-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v93pfe
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.018538 -34.814908, 149.018538 -34.8194, 149.020783 -34.8194, 149.020783 -34.814908, 149.018538 -34.814908))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061474-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17630/ab9867ee-07d1-4c9a-aea4-aa73975f1dbf
title: In situ single-crystal X-ray diffraction studies of physisorption and chemisorption of SO2 within a metal-organic framework and its competitive adsorption with water (dataset)

description: The attached data files underpin the publication “In situ single-crystal X-ray diffraction studies of physisorption and chemisorption of SO2 within a metal-organic framework and its competitive adsorption with water ”.
They contain PXRD, IR, TGA, DFT and scXRD data. Further information can be found in the read_me.txt file provided.
DOI: 10.15468/dl.pmp4d5
title: Occurrence Download

description: A dataset containing 491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "Country is South Africa",
 "Geometry POLYGON((28.03397 -26.16565,28.03482 -26.16231,28.03377 -26.16081,28.03358 -26.15987,28.032 -26.15845,28.03199 -26.15751,28.03262 -26.15667,28.03324 -26.15586,28.03334 -26.15524,28.03154 -26.15483,28.03075 -26.15466,28.03005 -26.15427,28.0294 -26.15419,28.02882 -26.15446,28.02855 -26.155,28.02837 -26.15562,28.02824 -26.15629,28.0279 -26.15654,28.02728 -26.15702,28.02702 -26.15744,28.0272 -26.15819,28.02795 -26.15929,28.02904 -26.16096,28.03071 -26.16261,28.03268 -26.16454,28.03397 -26.16565))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2019-2024"
 ]
}

 The dataset includes 491 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061476-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jc2hqr
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.338061 -34.8194, 148.338061 -34.821645, 148.344798 -34.821645, 148.344798 -34.8194, 148.338061 -34.8194))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061477-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47kj95
title: Occurrence Download

description: A dataset containing 2193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Echinochloa pyramidalis (Lam.) Hitchc. & Chase"
 ]
}

 The dataset includes 2193 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061475-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4p85p
title: Occurrence Download

description: A dataset containing 2193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Echinochloa pyramidalis (Lam.) Hitchc. & Chase"
 ]
}

 The dataset includes 2193 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061478-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k98d2d
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.360519 -34.8194, 148.360519 -34.821645, 148.367256 -34.821645, 148.367256 -34.8194, 148.360519 -34.8194))"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061479-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17630/e5371e49-ecc5-42f7-9b74-5dcc96011199
title: ZrO2 Holographic Metasurfaces for Efficient Optical Trapping in The Visible Range (dataset)

description: Experimental data are provided.
DOI: 10.17630/c31accbe-e5ac-4aba-b7f9-487b54bfcac6
title: Ligand Hydrogenation during Hydroformylation Catalysis detected by In-Situ High Pressure Infra-Red Spectroscopic analysis of a Rhodium/ Phospholene-Phosphite catalyst (dataset)

description: NMR data
DOI: 10.15468/dl.ay6h5a
title: Occurrence Download

description: A dataset containing 16564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chroicocephalus genei (Brème, 1839)",
 "Year 2005-2020"
 ]
}

 The dataset includes 16564 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061481-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyvf9y
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.861951 -34.783467, 147.861951 -34.79245, 147.866443 -34.79245, 147.866443 -34.803679, 147.868689 -34.803679, 147.868689 -34.805925, 147.866443 -34.805925, 147.866443 -34.812662, 147.868689 -34.812662, 147.868689 -34.823891, 147.866443 -34.823891, 147.866443 -34.830629, 147.868689 -34.830629, 147.868689 -34.828383, 147.870934 -34.828383, 147.870934 -34.823891, 147.882163 -34.823891, 147.882163 -34.812662, 147.884409 -34.812662, 147.884409 -34.805925, 147.886655 -34.805925, 147.886655 -34.79245, 147.884409 -34.79245, 147.884409 -34.799187, 147.882163 -34.799187, 147.882163 -34.808171, 147.877672 -34.808171, 147.877672 -34.805925, 147.875426 -34.805925, 147.875426 -34.796942, 147.870934 -34.796942, 147.870934 -34.799187, 147.868689 -34.799187, 147.868689 -34.790204, 147.866443 -34.790204, 147.866443 -34.787958, 147.868689 -34.787958, 147.868689 -34.783467, 147.861951 -34.783467), (147.875426 -34.805925, 147.875426 -34.812662, 147.870934 -34.812662, 147.870934 -34.805925, 147.875426 -34.805925), (147.875426 -34.8194, 147.877672 -34.8194, 147.877672 -34.821645, 147.875426 -34.821645, 147.875426 -34.8194))"
 ]
}

 The dataset includes 53 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061483-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvda5m
title: Occurrence Download

description: A dataset containing 23907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Larus dominicanus M.H.K.Lichtenstein, 1823",
 "Year 2010-2015"
 ]
}

 The dataset includes 23907 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061482-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5sm8cs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.956275 -34.812662, 147.956275 -34.814908, 147.958521 -34.814908, 147.958521 -34.823891, 147.960766 -34.823891, 147.960766 -34.821645, 147.963012 -34.821645, 147.963012 -34.8194, 147.960766 -34.8194, 147.960766 -34.812662, 147.956275 -34.812662)), ((147.960766 -34.823891, 147.960766 -34.828383, 147.963012 -34.828383, 147.963012 -34.823891, 147.960766 -34.823891)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061485-240626123714530/datasets/export for details.
DOI: 10.17630/127423bc-9535-49d0-8a9b-a79f00aedae3
title: Two 3′-O-β-glucosylated nucleoside fluorometabolites related to nucleocidin in Streptomyces calvus (dataset)
DOI: 10.17630/a4ccdb1a-53ea-4fb9-9fd2-807bfd2da05d
title: Localization and phenotyping of tuberculosis bacteria using a combination of deep learning and SVMs (dataset)
DOI: 10.34740/kaggle/dsv/9152441
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.pbpgag
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.212296 -34.814908, 148.205558 -34.814908, 148.205558 -34.821645, 148.207804 -34.821645, 148.207804 -34.823891, 148.212296 -34.823891, 148.212296 -34.828383, 148.214542 -34.828383, 148.214542 -34.830629, 148.216787 -34.830629, 148.216787 -34.823891, 148.223525 -34.823891, 148.223525 -34.812662, 148.216787 -34.812662, 148.216787 -34.805925, 148.214542 -34.805925, 148.214542 -34.812662, 148.212296 -34.812662, 148.212296 -34.814908), (148.216787 -34.823891, 148.214542 -34.823891, 148.214542 -34.821645, 148.216787 -34.821645, 148.216787 -34.823891), (148.212296 -34.814908, 148.216787 -34.814908, 148.216787 -34.8194, 148.212296 -34.8194, 148.212296 -34.814908)), ((148.216787 -34.805925, 148.221279 -34.805925, 148.221279 -34.803679, 148.216787 -34.803679, 148.216787 -34.805925)))"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061487-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13294224
title: Templates for BWS IPA and NPS project evaluations

description: Templates with example data to facilitate the completion of project evaluations using Excel to undertake three analyses:

1. Importance-Performance Analysis (IPA) with Gap Analysis

2. Net Promoter Score

3. Best-Worst-Scaling template in seperate file in version 1
DOI: 10.5281/zenodo.7541503
title: Templates for BWS IPA and NPS project evaluations

description: Templates with example data to facilitate the completion of project evaluations using Excel to undertake three analyses: 1. Best-Worst-Scaling 2. Importance-Performance Analysis (IPA) with Gap Analysis 3. Net Promoter Score
DOI: 10.5281/zenodo.12706788
title: Templates for BWS IPA and NPS project evaluations

description: Templates with example data to facilitate the completion of project evaluations using Excel to undertake three analyses:


1. Best-Worst-Scaling


2. Importance-Performance Analysis (IPA) with Gap Analysis


3. Net Promoter Score
DOI: 10.5281/zenodo.7541502
title: Templates for BWS IPA and NPS project evaluations

description: Templates with example data to facilitate the completion of project evaluations using Excel to undertake three analyses:

1. Importance-Performance Analysis (IPA) with Gap Analysis

2. Net Promoter Score

3. Best-Worst-Scaling template in seperate file in version 1
DOI: 10.15468/dl.mfcnc9
title: Occurrence Download

description: A dataset containing 40402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (April, May, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Larus delawarensis Ord, 1815",
 "Year 2011-2011"
 ]
}

 The dataset includes 40402 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061486-240626123714530/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/9152471
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.15468/dl.hgsr5a
title: Occurrence Download

description: A dataset containing 6424430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pica pica (Linnaeus, 1758)"
 ]
}

 The dataset includes 6424430 records from 5368 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061480-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0180144.10fu
title: SH0180144.10FU

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/sh0180145.10fu
title: SH0180145.10FU

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/sh0180146.10fu
title: SH0180146.10FU

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/sh0180147.10fu
title: SH0180147.10FU

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/sh0180148.10fu
title: SH0180148.10FU

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/sh0180149.10fu
title: SH0180149.10FU

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/sh0180150.10fu
title: SH0180150.10FU

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/sh0180151.10fu
title: SH0180151.10FU

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/sh0180152.10fu
title: SH0180152.10FU

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.