cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14289307
title: Datensatz der Besucherfrequenzen im Use Case Sauerland (Sommer)

description: Der Datensatz umfasst die im Rahmen des Projekts AIR erhobenen Besucherfrequenzen aus dem Use Case Sauerland (Sommer). Die Daten wurden gemäß dem ODTA-Standard aufbereitet und aggregieren die Werte auf Wochenbasis. Detaillierte Informationen zur verwendeten Sensorik und ihrer lokalen Verortung finden sich im Kurzbericht "Bewertung von Datenquellen für die Besuchermessung – Standortmessungen" von Engelhardt et al. (2024), verfügbar unter DOI: 10.5281/zenodo.13221635.
description: Hinweis:

Version 1 umfasst die Daten ab Beginn der jeweiligen Messungen an den verschiedenen Standorten bis einschließlich KW 46 im Jahr 2024. Version 2 enthält die ergänzenden Daten für KW 47 bis 53 im Jahr 2024.
DOI: 10.5281/zenodo.15095712
title: Datensatz der Besucherfrequenzen im Use Case Sauerland (Sommer)

description: Der Datensatz umfasst die im Rahmen des Projekts AIR erhobenen Besucherfrequenzen aus dem Use Case Sauerland (Sommer). Die Daten wurden gemäß dem ODTA-Standard aufbereitet und aggregieren die Werte auf Wochenbasis. Detaillierte Informationen zur verwendeten Sensorik und ihrer lokalen Verortung finden sich im Kurzbericht "Bewertung von Datenquellen für die Besuchermessung – Standortmessungen" von Engelhardt et al. (2024), verfügbar unter DOI: 10.5281/zenodo.13221635.
description: Hinweis:

Version 1 umfasst die Daten ab Beginn der jeweiligen Messungen an den verschiedenen Standorten bis einschließlich KW 46 im Jahr 2024. Version 2 enthält die ergänzenden Daten für KW 47 bis 53 im Jahr 2024.
DOI: 10.15468/dl.43zfq6
title: Occurrence Download

description: A dataset containing 781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphaenorhynchus lacteus (Daudin, 1800)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 781 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003741-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d77xu4
title: Occurrence Download

description: A dataset containing 1212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 {
 "or" : [
 "Geometry POLYGON((5.60135 51.3345,6.16446 51.3345,6.16446 51.53909,5.60135 51.53909,5.60135 51.3345))",
 "Geometry POLYGON((5.61752 51.21711,6.05711 51.21711,6.05711 51.32567,5.61752 51.32567,5.61752 51.21711))",
 "Geometry POLYGON((5.22556 51.35222,5.90545 51.35222,5.90545 51.77121,5.22556 51.77121,5.22556 51.35222))"
 ]
 },
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Kleidocerys resedae (Panzer, 1793)",
 "Year 2022-2024"
 ]
}

 The dataset includes 1212 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003742-250325103851331/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/11184898
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5281/zenodo.15095605
title: Changing students' perceptions of poor people through service-learning in a data science course

description: Dataset from the paper Changing students’ perceptions of poor people through service-learning in a data science course
DOI: 10.5281/zenodo.15095606
title: Changing students' perceptions of poor people through service-learning in a data science course

description: Dataset from the paper Changing students’ perceptions of poor people through service-learning in a data science course
DOI: 10.15468/dl.98t56n
title: Occurrence Download

description: A dataset containing 2872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strongylopus grayii (Smith, 1849)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2872 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003744-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p44rm7
title: Occurrence Download

description: A dataset containing 11522715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11522715 records from 4859 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003681-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17190660
title: Model, Data and Embeddings from iGEM HPI Potsdam 2025

description: This is the AI model and Dataset for the submission of the iGEM HPI-Potsdam team. You can find the software to fine tune this model under: https://gitlab.igem.org/2025/software-tools/hpi-potsdam A comprehensive documentation about the model and how it could be used can be found under: https://2025.igem.wiki/hpi-potsdam/

 

The project on which this publication is based was funded by the Federal Ministry of Research, Technology and Space under the funding code "KI-Servicezentrum Berlin-Brandenburg" 01IS22092. Responsibility for the content of this publication remains with the author.
DOI: 10.5281/zenodo.17190661
title: Model, Data and Embeddings from iGEM HPI Potsdam 2025

description: This is the AI model and Dataset for the submission of the iGEM HPI-Potsdam team. You can find the software to fine tune this model under: https://gitlab.igem.org/2025/software-tools/hpi-potsdam A comprehensive documentation about the model and how it could be used can be found under: https://2025.igem.wiki/hpi-potsdam/

 

The project on which this publication is based was funded by the Federal Ministry of Research, Technology and Space under the funding code "KI-Servicezentrum Berlin-Brandenburg" 01IS22092. Responsibility for the content of this publication remains with the author.
DOI: 10.5281/zenodo.17467308
title: Curated European animal data from the BOLD public dataset version 15-Aug-2025

description: Curated using this pipeline release: https://github.com/bge-barcoding/bold-library-curation/releases/tag/v4.2

result_output.tsv.gz = Processed records in BCDM TSV format with additional columns from ranking.bold.db.gz = Processed records in SQL database format.logs.tar.gz = logs from analysis.family_databases_compressed.tar.gz = manual curation package for family (database file, PDF checklist, PDF & SVG phylogeny).bold_database_statistics.pdf = summary of dataset.
DOI: 10.5281/zenodo.16901026
title: Curated European animal data from the BOLD public dataset version 15-Aug-2025

description: Curated using this pipeline release: https://github.com/bge-barcoding/bold-library-curation/releases/tag/v4.2

result_output.tsv.gz = Processed records in BCDM TSV format with additional columns from ranking.bold.db.gz = Processed records in SQL database format.logs.tar.gz = logs from analysis.family_databases_compressed.tar.gz = manual curation package for family (database file, PDF checklist, PDF & SVG phylogeny).bold_database_statistics.pdf = summary of dataset.
DOI: 10.15156/bio/sh1170659.10fu
title: SH1170659.10FU

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/sh1170661.10fu
title: SH1170661.10FU

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: 10.3886/e243073
title: Healthy People 2020 Overview of Health Disparities

description: The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. This file contains summary level information used for the evaluation of changes in disparities during HP2020, including calculations for the disparities measures and the disparities change categories for all objectives and population characteristics in the analysis. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities-technical-notes.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures.

Data for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/).

Note that “rate” as used may refer to a statistical rate expressed per unit population or a proportion, depending on how the HP2020 objective was defined.
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description: (Downloaded 1/9/2026)
DOI: 10.3886/e243073v1
title: Healthy People 2020 Overview of Health Disparities

description: The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. This file contains summary level information used for the evaluation of changes in disparities during HP2020, including calculations for the disparities measures and the disparities change categories for all objectives and population characteristics in the analysis. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities-technical-notes.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures.

Data for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/).

Note that “rate” as used may refer to a statistical rate expressed per unit population or a proportion, depending on how the HP2020 objective was defined.
Read less
description: (Downloaded 1/9/2026)
DOI: 10.15156/bio/sh1170662.10fu
title: SH1170662.10FU

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/sh1170663.10fu
title: SH1170663.10FU

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/sh1170664.10fu
title: SH1170664.10FU

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/sh1170666.10fu
title: SH1170666.10FU

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/sh1170668.10fu
title: SH1170668.10FU

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.muf8rt
title: Occurrence Download

description: A dataset containing 174217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-111 9,-83 9,-83 31,-111 31,-111 9))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 174217 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013664-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpe85a
title: Occurrence Download

description: A dataset containing 4117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Condylura cristata (Linnaeus, 1758)"
 ]
}

 The dataset includes 4117 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046190-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gm2ppc
title: Occurrence Download

description: A dataset containing 1965 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corynorhinus rafinesquii (Lesson, 1827)"
 ]
}

 The dataset includes 1965 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046192-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14238906
title: Data for "Demonstrating dynamic surface codes"

description: Datasets of the surface code memory experiments executed on Google's Willow quantum processor.

See README at the root of the zip archive for detailed description of the dataset organization.
DOI: 10.5281/zenodo.14238907
title: Data for "Demonstrating dynamic surface codes"

description: Datasets of the surface code memory experiments executed on Google's Willow quantum processor.

See README at the root of the zip archive for detailed description of the dataset organization.
DOI: 10.15468/dl.cq27t9
title: Occurrence Download

description: A dataset containing 10974 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corynorhinus townsendii (Cooper, 1837)"
 ]
}

 The dataset includes 10974 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046194-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfn4ky
title: Occurrence Download

description: A dataset containing 8213387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Brazil",
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Animalia",
 "Year 2000-2020"
 ]
}

 The dataset includes 8213387 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046186-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mm3qq
title: Occurrence Download

description: A dataset containing 144189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ondatra zibethicus (Linnaeus, 1766)",
 "DatasetKey is one of (VMM - Rat control occurrences in Flanders, Belgium, Muskrat captures in Flanders, Belgium, MICA - Muskrat occurrences collected by RATO in East Flanders, Belgium, MICA - Muskrat occurrences collected by VMM in Flanders, Belgium, RATO - daily operations commissioned by the province East Flanders, Belgium)"
 ]
}

 The dataset includes 144189 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046191-241126133413365/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.cc2h0v1f
title: CCDC 2294714: Experimental Crystal Structure Determination

description: Related Article: Le Yang, Fahime Bigdeli, Xiaojiao Yang, Lin-Lin Hou, Yue Ma, Wen-Ya Jiang, Xian-Hao Li, Ling-Xiao Wang, Tang Yang, Kangzhou Wang, Jianyu Wei, Ali Morsali, Kuan-Guan Liu|2024|Inorg.Chem.|63|7631|doi:10.1021/acs.inorgchem.3c04195
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: 10.15468/dl.bh2kts
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Caracal Gray, 1843"
 ]
}

 The dataset's 2 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046195-241126133413365/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/10144884
title: AIMO Synthetic Dataset
DOI: 10.5281/zenodo.14542438
title: Datasets for "Calibration of the high-resolution Common Land Model using an adaptive parameter learning method"

description: This repository provides datasets for "Calibration of the high-resolution Common Land Model using an adaptive parameter learning method".
DOI: 10.5281/zenodo.14542439
title: Datasets for "Calibration of the high-resolution Common Land Model using an adaptive parameter learning method"

description: This repository provides datasets for "Calibration of the high-resolution Common Land Model using an adaptive parameter learning method".