cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14858341
title: Knowledge Graph of the US Legislation

description: Knowledge Graph of the US Legislation. It adopts the property graph model and can be loaded as a Neo4J database, the most popular property graph management system
DOI: 10.5281/zenodo.14858225
title: Wrist-Based Energy Expenditure Estimation In-lab Dataset

description: In-lab dataset for paper 'Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist worn wearables'.

The file contains data of Actigraph, Wrist, and Metbolic Cart for 26 participants.
DOI: 10.5281/zenodo.14858226
title: Wrist-Based Energy Expenditure Estimation In-lab Dataset

description: In-lab dataset for paper 'Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist worn wearables'.

The file contains data of Actigraph, Wrist, and Metbolic Cart for 26 participants.
DOI: 10.15468/dl.9dqrrp
title: Occurrence Download

description: A dataset listing the 221646 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset's 221646 records were derived from 1535 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025201-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28399436
title: Msigdb

description: entries/symbols of msigdb v7.5.1
DOI: 10.5281/zenodo.14810744
title: OpenFE 2024 Industry Benchmarking Project, Results from Merck set pfkfb3

description: OpenFE 2024 Industry Benchmarking Project, Results from Merck set pfkfb3. OpenFE version v1.0.1. Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.5281/zenodo.14810745
title: OpenFE 2024 Industry Benchmarking Project, Results from Merck set pfkfb3

description: OpenFE 2024 Industry Benchmarking Project, Results from Merck set pfkfb3. OpenFE version v1.0.1. Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.5281/zenodo.14290179
title: Adaptive Changes in Human Turbinates Between Humid and Dry Climates

description: This study evaluated the existence of humidity-related climatically adaptive changes in inferior turbinate. Previously taken computed tomography images of the paranasal region were evaluated belonging to a total of 100 patients from two different climates (50 patients each from humid climate and from dry climate). The width, length and height of the lower turbinate, the breadth, length and height of the internal nasal passage, height of the inferior airway, breadth of common and inferior meatus were compared.
DOI: 10.5281/zenodo.14290180
title: Adaptive Changes in Human Turbinates Between Humid and Dry Climates

description: This study evaluated the existence of humidity-related climatically adaptive changes in inferior turbinate. Previously taken computed tomography images of the paranasal region were evaluated belonging to a total of 100 patients from two different climates (50 patients each from humid climate and from dry climate). The width, length and height of the lower turbinate, the breadth, length and height of the internal nasal passage, height of the inferior airway, breadth of common and inferior meatus were compared.
DOI: 10.15468/dl.bgk3fy
title: Occurrence Download

description: A dataset containing 60823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larus crassirostris Vieillot, 1818",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 60823 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025196-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10037121
title: OpenAIRE Graph Dataset

description: The OpenAIRE Graph is exported as several dataseta, so you can download the parts you are interested into.


publication_[part].tar: metadata records about research literature (includes types of publications listed here)
dataset_[part].tar: metadata records about research data (includes the subtypes listed here) 
software.tar: metadata records about research software (includes the subtypes listed here)
otherresearchproduct_[part].tar: metadata records about research products that cannot be classified as research literature, data or software (includes types of products listed here)
organization.tar: metadata records about organizations involved in the research life-cycle, such as universities, research organizations, funders.
datasource.tar: metadata records about data sources whose content is available in the OpenAIRE Graph. They include institutional and thematic repositories, journals, aggregators, funders' databases.
project.tar: metadata records about project grants.
relation_[part].tar: metadata records about relations between entities in the graph.
communities_infrastructures.tar: metadata records about research communities and research infrastructures


Each file is a tar archive containing gz files, each with one json per line. Each json is compliant to the schema available at http://doi.org/10.5281/zenodo.8238874. The documentation for the model is available at https://graph.openaire.eu/docs/data-model/


Learn more about the OpenAIRE Graph at https://graph.openaire.eu.


Discover the graph's content on OpenAIRE EXPLORE and our API for developers.
description: Note: This is a new update to fix some issues found in the relation file names. The content is the same as the deposition of August.
The schema of the result and relation is changed. Have a look at https://graph.openaire.eu/docs/. The three-char prefix has been removed from the OpenAIRE identifiers. A new version of this dataset is published every 6 months. The content available on the OpenAIRE EXPLORE and CONNECT portals might be more up-to-date with respect to the data you find here.
DOI: 10.5281/zenodo.10488385
title: OpenAIRE Graph Dataset

description: The OpenAIRE Graph is exported as several dataseta, so you can download the parts you are interested into.

publication_[part].tar: metadata records about research literature (includes types of publications listed here)dataset_[part].tar: metadata records about research data (includes the subtypes listed here) software.tar: metadata records about research software (includes the subtypes listed here)otherresearchproduct_[part].tar: metadata records about research products that cannot be classified as research literature, data or software (includes types of products listed here)organization.tar: metadata records about organizations involved in the research life-cycle, such as universities, research organizations, funders.datasource.tar: metadata records about data sources whose content is available in the OpenAIRE Graph. They include institutional and thematic repositories, journals, aggregators, funders' databases.project.tar: metadata records about project grants.relation_[part].tar: metadata records about relations between entities in the graph.communities_infrastructures.tar: metadata records about research communities and research infrastructures

Each file is a tar archive containing gz files, each with one json per line. Each json is compliant to the schema available at http://doi.org/10.5281/zenodo.10519039. The documentation for the model is available at https://graph.openaire.eu/docs/data-model/

Learn more about the OpenAIRE Graph at https://graph.openaire.eu.

Discover the graph's content on OpenAIRE EXPLORE and our API for developers.
description: The schema of the result is changed. This release introduces introduces new indicators to identify results published using specific open access models, in diamond journals, and those that received public funding.  In details: 



isGreen (true, false): indicates whether or not the scientific result was published following the green open access model;

openAccessColor (bronze, gold, hybrid): indicates the specific open access model used for the publication;

isInDiamondJournal (true, false): indicates whether or not the result was published in a diamond journal;

publiclyFunded (true, false): indicates whether or not the grants acknowledged by the publication come from public funds.


A new version of this dataset is published every 6 months. The content available on the OpenAIRE EXPLORE and CONNECT portals might be more up-to-date with respect to the data you find here.
DOI: 10.5281/zenodo.12819872
title: OpenAIRE Graph Dataset

description: The OpenAIRE Graph is exported as several dataset, so you can download the parts you are interested into.

publication_[part].tar: metadata records about research literature (includes types of publications listed here)dataset_[part].tar: metadata records about research data (includes the subtypes listed here) software.tar: metadata records about research software (includes the subtypes listed here)otherresearchproduct_[part].tar: metadata records about research products that cannot be classified as research literature, data or software (includes types of products listed here)organization.tar: metadata records about organizations involved in the research life-cycle, such as universities, research organizations, funders.datasource.tar: metadata records about data sources whose content is available in the OpenAIRE Graph. They include institutional and thematic repositories, journals, aggregators, funders' databases.project.tar: metadata records about project grants.relation_[part].tar: metadata records about relations between entities in the graph.communities_infrastructures.tar: metadata records about research communities and research infrastructures

Each file is a tar archive containing gz files, each with one json per line. Each json is compliant to the schema available at http://doi.org/10.5281/zenodo.13120886. The documentation for the model is available at https://graph.openaire.eu/docs/data-model/

Learn more about the OpenAIRE Graph at https://graph.openaire.eu.

Discover the graph's content on OpenAIRE EXPLORE and our API for developers.
description: The schema of the research products is changed. This release introduces introduces camelCase in the names of the fields. Furthermore, the impact indicators are changed in their serialization. Have a look at the new documentaiton to check the changes.

A new version of this dataset is published every 6 months. The content available on the OpenAIRE EXPLORE and CONNECT portals might be more up-to-date with respect to the data you find here.
DOI: 10.5281/zenodo.14582029
title: OpenAIRE Graph Dataset

description: The OpenAIRE Graph is exported as several dataset, so you can download the parts you are interested into.

publication_[part].tar: metadata records about research literature (includes types of publications listed here)dataset_[part].tar: metadata records about research data (includes the subtypes listed here) software.tar: metadata records about research software (includes the subtypes listed here)otherresearchproduct_[part].tar: metadata records about research products that cannot be classified as research literature, data or software (includes types of products listed here)organization.tar: metadata records about organizations involved in the research life-cycle, such as universities, research organizations, funders.datasource.tar: metadata records about data sources whose content is available in the OpenAIRE Graph. They include institutional and thematic repositories, journals, aggregators, funders' databases.project.tar: metadata records about project grants.relation_[part].tar: metadata records about relations between entities in the graph.communities_infrastructures.tar: metadata records about research communities and research infrastructures

Each file is a tar archive containing gz files, each with one json per line. Each json is compliant to the schema available at http://doi.org/10.5281/zenodo.14608526. The documentation for the model is available at https://graph.openaire.eu/docs/data-model/

Learn more about the OpenAIRE Graph at https://graph.openaire.eu.

Discover the graph's content on OpenAIRE EXPLORE and our API for developers.
description: The schema of the research products is changed. This release applies a common naming convention to the entity properties. Furthermore, the text of the source and target type in the relations is changed from result to product. Have a look at the new documentaiton to check the full changelog.

A new version of this dataset is published every 6 months. The content available on the OpenAIRE EXPLORE and CONNECT portals might be more up-to-date with respect to the data you find here.
DOI: 10.5281/zenodo.14851262
title: OpenAIRE Graph Dataset

description: The OpenAIRE Graph is exported as several files, so you can download the parts you are interested into.

publication_[part].tar: metadata records about research literature (includes types of publications listed here)dataset_[part].tar: metadata records about research data (includes the subtypes listed here) software.tar: metadata records about research software (includes the subtypes listed here)otherresearchproduct_[part].tar: metadata records about research products that cannot be classified as research literature, data or software (includes types of products listed here)organization.tar: metadata records about organizations involved in the research life-cycle, such as universities, research organizations, funders.datasource.tar: metadata records about data sources whose content is available in the OpenAIRE Graph. They include institutional and thematic repositories, journals, aggregators, funders' databases.project.tar: metadata records about project grants.relation_[part].tar: metadata records about relations between entities in the graph.communities_infrastructures.tar: metadata records about research communities and research infrastructures

Each file is a tar archive containing gz files, each with one json per line. Each json is compliant to the schema available at http://doi.org/10.5281/zenodo.14608526. The documentation for the model is available at https://graph.openaire.eu/docs/data-model/

Learn more about the OpenAIRE Graph at https://graph.openaire.eu.

Discover the graph's content on OpenAIRE EXPLORE and our API for developers.

This deposition contains:



192,934,523 publications,

73,443,566 datasets,

596,316 software,

24,797,142 other research products,

141,568 datasources,

3,482,537 projects,

454,601 organizations,

34 communities,

7,241,517,003 relations


 
description: The schema of the research products is changed. This release applies a common naming convention to the entity properties. Furthermore, the text of the source and target type in the relations is changed from result to product. Have a look at the new documentaiton to check the full changelog.

A new version of this dataset is published every 6 months. The content available on the OpenAIRE EXPLORE and CONNECT portals might be more up-to-date with respect to the data you find here.
description: After some in-depth analysis, we discovered that a few fields have not been dumped in consistency with the documentation, and we opted to republish the data after fields normalisation.This update does not change the content of the last dataset (January 7, 2025 | Version 9.0.0).
DOI: 10.6084/m9.figshare.26827576
title: UNet-Gan based soil moisture data of Three River Source Region in history and four future emission scenarios

description: The data is obtained by merging and downscaling 17 CMIP6 datasets using a UNet-GAN network. The spatial resolution is 0.1 degrees, the temporal resolution is monthly, and there are five layers (0-10 cm, 10-30 cm, 30-50 cm, 50-80 cm, 80-110 cm). The time range for <i>historical.nc</i> is from 1950 to 2014, while <i>ssp1_2_6.nc</i>, <i>ssp2_4_5.nc</i>, <i>ssp3_7_0.nc</i>, and <i>ssp5_8_5.nc</i> span from 2015 to 2100. The <i>boundary_0.1.nc</i> file defines the range of the Three River Source Region, where a value of 1 represents valid data and a value of 0 represents invalid data. All data for the grid cells where <i>boundary_0.1.nc</i> equals 1 are valid data, and for the grid cells where it equals 0 are invalid data. The units is m<sup>3</sup>/m<sup>3</sup>.
DOI: 10.15468/dl.fgb56d
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Procyon lotor hernandezii Wagler, 1831"
 ]
}

 The dataset includes 435 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021030-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vf3p3k
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "TaxonKey is Roystonea hispaniolana L.H.Bailey"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021032-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.329gqr
title: Occurrence Download

description: A dataset containing 1562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alpheidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1562 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021033-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqrrjt
title: Occurrence Download

description: A dataset containing 26520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Incilius nebulifer (Girard, 1854))"
 ]
}

 The dataset includes 26520 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021034-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3wyfa3
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Geometry MULTIPOLYGON (((142.36 -29.01, 142.36 -29.39, 142.74 -29.39, 142.74 -29.01, 142.36 -29.01)))"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021035-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avg9x5
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "GeoDistance is in a distance of 0.5km from (-33.7,151.3)"
 ]
}

 The dataset includes 104 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021038-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8bb2qn
title: Occurrence Download

description: A dataset containing 12396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Palaemonidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12396 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021036-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rykwt8
title: Occurrence Download

description: A dataset containing 399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stichopodidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 399 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021040-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exsjrf
title: Occurrence Download

description: A dataset containing 938435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ghana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 938435 records from 504 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021000-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.228mx4
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pertya angustifolia Y.Q.Tseng"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021041-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmray4
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.68204 32.04517,-104.20678 29.4501,-101.01285 24.02708,-96.12214 26.82176,-99.68204 32.04517))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Shinnersia rivularis (A.Gray) R.M.King & H.Rob."
 ]
}

 The dataset includes 64 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021042-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26183/yv3q-tx47
title: Exploring novel public health approaches to support dementia literacy 

description: This project focused on developing and evaluating an interactive art exhibit designed to engage participants in activities linked to reducing dementia risk. The exhibit integrated educational content about lifestyle factors, such as physical activity, mental stimulation, social engagement, and healthy eating, with immersive, interactive art installations. The primary goals were to assess the exhibit's impact on participants' understanding of dementia risk factors and to explore the potential of art-based interventions for public health awareness and behavioural change. The collected dataset includes both quantitative and qualitative data.  Pre- and post-exhibit surveys capturing participants’ self-reported behaviour intentions, and confidence in implementing risk-reducing practices, as well as semi-structured interviews with a subset of participants to gain deeper insights into their experience and how the exhibit may influence their behaviour.
<p>This dataset is available on request for suitable reuse. Please contact the author Joyce.Siette@westernsydney.edu.au ORCID 0000-0001-9568-5847.