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

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protium attenuatum",
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074378-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0004765.10fu
title: SH0004765.10FU

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/sh0004766.10fu
title: SH0004766.10FU

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/sh0004767.10fu
title: SH0004767.10FU

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/sh0004768.10fu
title: SH0004768.10FU

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/sh0004769.10fu
title: SH0004769.10FU

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/sh0004770.10fu
title: SH0004770.10FU

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/sh0004771.10fu
title: SH0004771.10FU

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.aazx9h
title: Occurrence Download

description: A dataset containing 3083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asphodelus tenuifolius"
 ]
}

 The dataset includes 3083 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074376-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nngwwc
title: Occurrence Download

description: A dataset containing 1454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bambusa vulgaris",
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1454 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074377-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64ksx7
title: Occurrence Download

description: A dataset containing 4962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus maritimus Phipps, 1774",
 "Year 1901-2023"
 ]
}

 The dataset includes 4962 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007022-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/f27e12ff250a45b8
title: Custom collection of MWR single pointing data from Lindenberg between 20 Jul and 7 Sep 2020
DOI: 10.15468/dl.mt9j33
title: Occurrence Download

description: A dataset containing 419997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Victorian Biodiversity Atlas",
 "Year 2021-2025"
 ]
}

 The dataset includes 419997 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006981-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgbqka
title: Occurrence Download

description: A dataset containing 155071 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cardamine flexuosa With.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 155071 records from 1128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006976-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsj2vy
title: Occurrence Download

description: A dataset containing 75094943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 75094943 records from 20641 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007012-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13951511
title: Karachi Bus Network

description: We compiled route data for 76 public buses in Karachi, encompassing both Bus Rapid Transit (BRT) and minibusses. The data was sourced from the Travel Culture and  HamariWeb websites available on the internet, providing detailed bus routes for each vehicle. Using [Google Maps](https://maps.google.com), we further extracted the longitude and latitude coordinates for each bus stop along these routes. This dataset offers a comprehensive overview of the public transit network in Karachi, serving as a foundational resource for further analysis.


The raw data underwent a thorough cleaning and standardization involving addressing inconsistencies, eliminating errors, and ensuring uniformity in node and edge attributes. By standardizing the data, we created a cohesive and analyzable format, allowing for the integration of diverse data sources.


The cleaned route data was used to construct public transit networks where bus stops were represented as nodes and bus routes as edges. For spatial analysis, QGIS was used to provide geospatial context to the network models.
DOI: 10.5281/zenodo.13951512
title: Karachi Bus Network

description: We compiled route data for 76 public buses in Karachi, encompassing both Bus Rapid Transit (BRT) and minibusses. The data was sourced from the Travel Culture and  HamariWeb websites available on the internet, providing detailed bus routes for each vehicle. Using [Google Maps](https://maps.google.com), we further extracted the longitude and latitude coordinates for each bus stop along these routes. This dataset offers a comprehensive overview of the public transit network in Karachi, serving as a foundational resource for further analysis.


The raw data underwent a thorough cleaning and standardization involving addressing inconsistencies, eliminating errors, and ensuring uniformity in node and edge attributes. By standardizing the data, we created a cohesive and analyzable format, allowing for the integration of diverse data sources.


The cleaned route data was used to construct public transit networks where bus stops were represented as nodes and bus routes as edges. For spatial analysis, QGIS was used to provide geospatial context to the network models.
DOI: 10.15468/dl.9zv8qk
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Cedrela angustifolia Moc. & Sessé ex DC."
 ]
}

 The dataset includes 418 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006792-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1124646
title: Images and Site Records from a Trial Trench Evaluation at Aston Clinton Road, Weston Turville, Buckinghamshire, March 2021

description: This collection comprises of site records and photographs from a trial trench evaluation carried out by MOLA Northampton on land off Aston Clinton Road, Weston Turville, Buckinghamshire during March 2021.
DOI: 10.15468/dl.hgs4r3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pasiphaea gracilis Hayashi, 1999",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006793-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gcm2zc
title: Occurrence Download

description: A dataset containing 18764 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((44.0734 56.17059,44.23919 56.17059,44.23919 56.33974,44.0734 56.33974,44.0734 56.17059))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 18764 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006794-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1124648
title: Data from a Descriptive Buildings Record at Barn C, Manor Farm, Passenham, Northamptonshire, August 2023.

description: This collection comprises images and a report from a descriptive buildings record carried out by Cotswold Archaeology at Barn C, Manor Farm, Passenham, Northamptonshire in August 2023. Cotswold Archaeology was commissioned by The Parks Trust to undertake a programme of Historic Building Recording in respect of a building, titled 'Barn C' at Manor Farm, Passenham, Northamptonshire. The building is not included on Historic England's National Heritage List for England, nor is it located within a Conservation Area or a local list of non-designated heritage assets. The significance of the building is principally derived from its evidential value as a vernacular building of the mid to late 19th century. Whilst the building is in an advanced state of deterioration, its overall form and limited surviving internal features contribute to an understanding of the building's historical function as a cow house and attached hay shed. Apart from its age and vernacular appearance, the contribution of historic, aesthetic and communal values to the building's significance is very limited.&lt;/p&gt;
DOI: 10.15468/dl.8cbyg6
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sepiella japonica Sasaki, 1929",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006795-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3710027501-fra
title: Effectifs postsecondaires, selon le domaine d'études détaillé et la Classification Internationale Type de l'Éducation

description: Effectifs postsecondaires, selon la Classification des programmes d'enseignement (CPE) 2021 (séries à 2 et à 4 chiffres), la Classification Internationale Type de l'Éducation (CITE), le type d'établissement, le régime d'études et le genre de la personne.
DOI: 10.15468/dl.8vv5yd
title: Occurrence Download

description: A dataset containing 677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sillago japonica Temminck & Schlegel, 1843",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 677 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006797-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.ccyyntb
title: CCDC 892453: Experimental Crystal Structure Determination

description: Related Article: Urbano Diaz, Avelino Corma, Ismail Warad, Alexandra Velty|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.48597/3yjt-k2ck
title: Measurement of Nitrogen_monoxide at Anholt

description: Measurement of Nitrogen_monoxide at Anholt
DOI: 10.5517/ccdc.csd.cc2kff9r
title: CCDC 2366394: Experimental Crystal Structure Determination

description: Related Article: Sergey V. Fokin, Svyatoslav E. Tolstikov, Vitaly A. Morozov, Kristina A. Smirnova, Artem S. Bogomyakov, Galina V. Romanenko|2024|Cryst.Growth Des.|24|9682|doi:10.1021/acs.cgd.4c01167
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kffct
title: CCDC 2366396: Experimental Crystal Structure Determination

description: Related Article: Sergey V. Fokin, Svyatoslav E. Tolstikov, Vitaly A. Morozov, Kristina A. Smirnova, Artem S. Bogomyakov, Galina V. Romanenko|2024|Cryst.Growth Des.|24|9682|doi:10.1021/acs.cgd.4c01167
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.48597/qan8-2eqh
title: Measurement of Nitrogen_dioxide at Anholt

description: Measurement of Nitrogen_dioxide at Anholt
DOI: 10.48597/uzrg-ncs5
title: Measurement of Nitrogen oxides at Anholt

description: Measurement of Nitrogen oxides at Anholt
DOI: 10.5517/ccdc.csd.cc2kff7p
title: CCDC 2366392: Experimental Crystal Structure Determination

description: Related Article: Sergey V. Fokin, Svyatoslav E. Tolstikov, Vitaly A. Morozov, Kristina A. Smirnova, Artem S. Bogomyakov, Galina V. Romanenko|2024|Cryst.Growth Des.|24|9682|doi:10.1021/acs.cgd.4c01167
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.48597/7kpm-yjre
title: Nitrogen oxides at Anholt

description: Measurement of Nitrogen oxides at Anholt
DOI: 10.48597/swfj-gxfx
title: Nitrogen_dioxide at Anholt

description: Measurement of Nitrogen_dioxide at Anholt
DOI: 10.48597/whxz-xeem
title: Nitrogen_monoxide at Anholt

description: Measurement of Nitrogen_monoxide at Anholt
DOI: 10.48597/djrb-ej8n
title: Measurement of Nitrogen_dioxide at Anholt

description: Measurement of Nitrogen_dioxide at Anholt
DOI: 10.48597/jksg-7gmd
title: Measurement of Nitrogen_monoxide at Anholt

description: Measurement of Nitrogen_monoxide at Anholt
DOI: 10.48597/46v5-jg5k
title: Nitrogen_dioxide at Anholt

description: Measurement of Nitrogen_dioxide at Anholt
DOI: 10.48597/4ef4-gatv
title: Nitrogen_monoxide at Anholt

description: Measurement of Nitrogen_monoxide at Anholt
DOI: 10.48597/dmss-jzn5
title: Nitrogen oxides at Anholt

description: Measurement of Nitrogen oxides at Anholt
DOI: 10.48597/c9mc-62ay
title: Nitrogen_dioxide at Anholt

description: Measurement of Nitrogen_dioxide at Anholt
DOI: 10.48597/dwzb-rkz6
title: Nitrogen_monoxide at Anholt

description: Measurement of Nitrogen_monoxide at Anholt
DOI: 10.48597/5zvq-566h
title: Nitrogen_monoxide at Anholt

description: Measurement of Nitrogen_monoxide at Anholt
DOI: 10.48597/k746-vp5d
title: Nitrogen_dioxide at Anholt

description: Measurement of Nitrogen_dioxide at Anholt
DOI: 10.48597/rpqm-qmhz
title: Nitrogen_monoxide at Anholt

description: Measurement of Nitrogen_monoxide at Anholt
DOI: 10.48597/xjdy-wtun
title: Nitrogen_dioxide at Anholt

description: Measurement of Nitrogen_dioxide at Anholt
DOI: 10.48597/45vh-fdkq
title: Measurement of Nitrogen oxides at Anholt

description: Measurement of Nitrogen oxides at Anholt