cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/jzwfql
title: Atlas Flora Danica

description: Atlas Flora Danica maps the wild Danish flora. Data collection took place from 1992 through 2012, and the voluntary monitoring work was carried out by members of the Danish Botanical Society. For this project, Denmark was divided into 2228 squares of 5 × 5 km. In all investigated squares, all plant species were recorded with a precision of 100 m (ca. 5.000 of the more than 1 mio. records have a precision from 150 til 5.000 m). About every other square in each 10 x 10 km square (total of 1330 squares) were surveyed and thereby obtaining good coverage of the whole country. The project gratefully received sponsoring from the Aage V. Jensen Nature Foundation. Atlas Flora Danica's purpose is to: 1) Show the Danish plant species’ current distribution and regional frequency, including decline or spread of species. Causes of these changes are discussed. 2) Examine the current status of red-listed, protected and rare plant species. 3) Publicize the Danish flora and the importance of protecting the plants and their habitats. Resource homepage: https://botaniskforening.dk/botanik/atlas-flora-danica/
DOI: 10.21227/xwzs-2n47
title: Development of a High-Voltage, High-Current Pulse Power Supply Based on Thyristor Surge Suppressor

description: High-voltage and high-current pulse power supplies have significant application value in food sterilization, biomedicine, and other fields. However, the existing technology is limited by the current-carrying capacity of power semiconductor switch devices, making it difficult to stably output kiloampere-level pulse currents under high-voltage conditions, thus failing to meet the application requirements of some low-impedance loads. Therefore, this paper proposes a multi-branch parallel topology based on a series array of Thyristor Surge Suppressors, achieving precise synchronous driving of multiple branches through photoconductive switches, and combining a magnetic compression module to optimize the pulse waveform collaboratively. Based on the above design, a 5-branch parallel pulse generator experimental circuit was built. Experimental results show that under a 10 Ω load, it can output a high-voltage and high-current pulse with a voltage of 24 kV and a peak current of 1240 A, with a rise time of 532 ns and can operate stably at a repetition frequency of 10 Hz. This design successfully realizes the output of high-voltage and high-current pulses above kiloamperes in the nanosecond range, providing a new technical approach for the development of high-voltage and high-current pulse power supplies.
DOI: 10.15468/dl.36djbj
title: Occurrence Download

description: A dataset containing 7189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cercis L., Ficus benjamina L.)"
 ]
}

 The dataset includes 7189 records from 403 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001450-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11504280
title: IMO2020 UKESM1 Fixed-SST Atmosphere-only and Coupled Atmosphere-ocean Experiments

description: This dataset contains the UKESM1 output used in the manuscript "IMO2020 regulations accelerate global warming by up to 3 years in UKESM1". Files are netCDF formatted with the following naming convention: UKESM1_<simulation-type>-<experiment>_<variable-name>_monthly_ens.nc.

© Crown Copyright, Met Office.
DOI: 10.5281/zenodo.11549029
title: IMO2020 UKESM1 Fixed-SST Atmosphere-only and Coupled Atmosphere-ocean Experiments

description: This dataset contains the UKESM1 output used in the manuscript "IMO2020 regulations accelerate global warming by up to 3 years in UKESM1". Files are netCDF formatted with the following naming convention: UKESM1_<simulation-type>-<experiment>_<variable-name>_monthly_ens.nc.

© Crown Copyright, Met Office.
DOI: 10.34740/kaggle/dsv/10792957
title: BOS Kemdikbud
DOI: 10.15468/dl.zu9eb8
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "Geometry POLYGON((77.08648 22.50583,87.69712 22.50583,87.69712 31.67028,77.08648 31.67028,77.08648 22.50583))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prosopis juliflora (Sw.) DC."
 ]
}

 The dataset includes 21 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001452-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mw3wg8
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Codariocalyx gyroides (Roxb. ex Link) Hassk."
 ]
}

 The dataset includes 345 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001453-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.564s4w
title: Occurrence Download

description: A dataset containing 1725029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1725029 records from 596 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001444-250218110819086/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/10792908
title: Datasets for speech emotion recognition
DOI: 10.5281/zenodo.10160538
title: Volcanic Aerosol-Cloud Interactions (VolcACI) Experiment: Part 1 Dataset

description: This dataset contains model output used in the manuscript "How well are aerosol-cloud interactions represented in climate models? Part 1: Understanding the sulphate aerosol production from the 2014-15 Holuhraun eruption."

HYSPLIT model output files are netCDF formatted and are named: ERAI_<station-abbreviation>_<trajectory-starting-height>_240b_r1565pf_1hourly_ens.nc

Holuhraun model runs are netCDF formatted and are named: aerocom3_<model-name>-met2014_VolcACI-Hol-CE_<variable-name>_<vertical-coordinate-type>_2014_<frequency>_25N-90N.nc.

© Crown Copyright, Met Office.
DOI: 10.5281/zenodo.7786774
title: Volcanic Aerosol-Cloud Interactions (VolcACI) Experiment: Part 1 Dataset

description: This dataset contains model output used in the manuscript "How well are aerosol-cloud interactions represented in climate models? Part 1: Understanding the sulphate aerosol production from the 2014-15 Holuhraun eruption."

HYSPLIT model output files are netCDF formatted and are named: ERAI_<station-abbreviation>_<trajectory-starting-height>_240b_r1565pf_1hourly_ens.nc

Holuhraun model runs are netCDF formatted and are named: aerocom3_<model-name>-met2014_VolcACI-Hol-CE_<variable-name>_<vertical-coordinate-type>_2014_<frequency>_25N-90N.nc.

© Crown Copyright, Met Office.
DOI: 10.15468/dl.egsk3n
title: Occurrence Download

description: A dataset containing 17043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.76241 42.59088,2.86352 42.59088,2.86352 42.63188,2.76241 42.63188,2.76241 42.59088))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 17043 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001454-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyuqaz
title: Occurrence Download

description: A dataset containing 16304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Malaysia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bucerotiformes",
 "Year 2009-2017"
 ]
}

 The dataset includes 16304 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001455-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/data/ba74rw
title: ComCog - Encapsulation

description: Eye Tracking Data comparing Encapsulation and Coreference across different levels of informativity of the referential expression.
DOI: 10.5281/zenodo.10837214
title: OpenAIRE Graph Beginner's Kit Dataset

description: The OpenAIRE Graph is an Open Access dataset containing metadata about research products (literature, datasets, software, etc.) linked to other entities of the research ecosystem like organisations, project grants, and data sources. 

The large size of the OpenAIRE Graph is a major impediment for beginners to familiarise with the underlying data model and explore its contents. Working with the Graph in its full size typically requires access to a huge distributed computing infrastructure which cannot be easily accessible to everyone.  

The OpenAIRE Beginner’s Kit aims to address this issue. It consists of two components:





A subset of the OpenAIRE Graph composed of the research products published between 2023-06-30 and 2024-02-29, all the entities connected to them and the respective relationships. The subset is composed of the following parts:





publication.tar: metadata records about research literature (includes types of publications listed here)




dataset.tar: metadata records about research data (includes the subtypes listed here) 




software.tar: metadata records about research software (includes the subtypes listed here)




otherresearchproduct.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.tar: metadata records about relations between entities in the graph.




communities_infrastructures.tar: metadata records about research communities and research infrastructuresEach file is a tar archive containing gz files, each with one json per line. Each json is compliant to the schema available at https://zenodo.org/records/10519039 





 
description: This is a subset of the OpenAIRE Graph that you can use to get familiar with the data model and test your code on a smaller dataset. For your data analysis tasks, you can use the full dump available at https://zenodo.org/records/10488385. For more information on the OpenAIRE Graph and its data model, see (https://graph.openaire.eu/docs/data-model/).
DOI: 10.5281/zenodo.14891799
title: OpenAIRE Graph Beginner's Kit Dataset

description: The OpenAIRE Graph is an Open Access dataset containing metadata about research products (literature, datasets, software, etc.) linked to other entities of the research ecosystem like organisations, project grants, and data sources. 

The large size of the OpenAIRE Graph is a major impediment for beginners to familiarise with the underlying data model and explore its contents. Working with the Graph in its full size typically requires access to a huge distributed computing infrastructure which cannot be easily accessible to everyone.  

The OpenAIRE Beginner’s Kit aims to address this issue. It consists of two components:





A subset of the OpenAIRE Graph composed of the research products published between 2024-06-01 and 2024-12-31, all the entities connected to them and the respective relationships. The subset is composed of the following parts:





publication.tar: metadata records about research literature (includes types of publications listed here)




dataset.tar: metadata records about research data (includes the subtypes listed here) 




software.tar: metadata records about research software (includes the subtypes listed here)




otherresearchproduct.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.tar: metadata records about relations between entities in the graph.




communities_infrastructures.tar: metadata records about research communities and research infrastructuresEach file is a tar archive containing gz files, each with one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.14608526 





 
description: This is a subset of the OpenAIRE Graph that you can use to get familiar with the data model and test your code on a smaller dataset. For your data analysis tasks, you can use the full dump available at https://zenodo.org/records/10488385. For more information on the OpenAIRE Graph and its data model, see (https://graph.openaire.eu/docs/data-model/).
DOI: 10.5281/zenodo.7490191
title: OpenAIRE Graph Beginner's Kit Dataset

description: The OpenAIRE Graph is an Open Access dataset containing metadata about research products (literature, datasets, software, etc.) linked to other entities of the research ecosystem like organisations, project grants, and data sources. 

The large size of the OpenAIRE Graph is a major impediment for beginners to familiarise with the underlying data model and explore its contents. Working with the Graph in its full size typically requires access to a huge distributed computing infrastructure which cannot be easily accessible to everyone.  

The OpenAIRE Beginner’s Kit aims to address this issue. It consists of two components:





A subset of the OpenAIRE Graph composed of the research products published between 2024-06-01 and 2024-12-31, all the entities connected to them and the respective relationships. The subset is composed of the following parts:





publication.tar: metadata records about research literature (includes types of publications listed here)




dataset.tar: metadata records about research data (includes the subtypes listed here) 




software.tar: metadata records about research software (includes the subtypes listed here)




otherresearchproduct.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.tar: metadata records about relations between entities in the graph.




communities_infrastructures.tar: metadata records about research communities and research infrastructuresEach file is a tar archive containing gz files, each with one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.14608526 





 
description: This is a subset of the OpenAIRE Graph that you can use to get familiar with the data model and test your code on a smaller dataset. For your data analysis tasks, you can use the full dump available at https://zenodo.org/records/10488385. For more information on the OpenAIRE Graph and its data model, see (https://graph.openaire.eu/docs/data-model/).
DOI: 10.5281/zenodo.8223812
title: OpenAIRE Graph Beginner's Kit Dataset

description: The OpenAIRE Graph is an Open Access dataset containing metadata about research products (literature, datasets, software, etc.) linked to other entities of the research ecosystem like organisations, project grants, and data sources. The large size of the OpenAIRE Graph is a major impediment for beginners to familiarise with the underlying data model and explore its contents. Working with the Graph in its full size typically requires access to a huge distributed computing infrastructure which cannot be easily accessible to everyone. The OpenAIRE Beginner’s Kit aims to address this issue. It consists of two components: A subset of the OpenAIRE Graph composed of the research products published between 2022-12-28 and 2023-07-31, all the entities connected to them and the respective relationships. The subset is composed of the following parts: <strong>publication.tar</strong>: metadata records about research literature (includes types of publications listed here) <strong>dataset.tar</strong>: metadata records about research data (includes the subtypes listed here) <strong>software.tar</strong>: metadata records about research software (includes the subtypes listed here) <strong>otherresearchproduct.tar</strong>: metadata records about research products that cannot be classified as research literature, data or software (includes types of products listed here) <strong>organization.tar</strong>: metadata records about organizations involved in the research life-cycle, such as universities, research organizations, funders. <strong>datasource.tar</strong>: metadata records about data sources whose content is available in the OpenAIRE Graph. They include institutional and thematic repositories, journals, aggregators, funders' databases. <strong>project.tar</strong>: metadata records about project grants. <strong>relation.tar</strong>: metadata records about relations between entities in the graph. <strong>communities_infrastructures.tar</strong>: metadata records about research communities and research infrastructures<br> <br> 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 code to analyse the data. It is available on GitHub. Just download the archive, unzip/untar it and follow the instruction on the README file (no need to clone the GitHub repository)<br> <br>
description: This is a subset of the OpenAIRE Graph that you can use to get familiar with the data model and test your code on a smaller dataset. For your data analysis tasks, you can use the full dump available at https://doi.org/10.5281/zenodo.3516917. For more information on the OpenAIRE Graph and its data model, see (https://graph.openaire.eu/docs/data-model/).
DOI: 10.15468/dl.qgem9c
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.69946 50.77302,5.23187 50.77302,5.23187 51.08677,4.69946 51.08677,4.69946 50.77302))",
 "HasGeospatialIssue is false",
 "TaxonKey is Holosteum umbellatum L."
 ]
}

 The dataset includes 105 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001456-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14892006
title: Thesis Chapter 3 Species Lists
DOI: 10.5281/zenodo.14892007
title: Thesis Chapter 3 Species Lists
DOI: 10.15468/dl.8ngsvk
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "TaxonKey is Gambusia holbrooki Girard, 1859"
 ]
}

 The dataset includes 379 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001457-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6542765
title: PiOCHE

description: For about two years the persons named above have been working on a project, in which we developed a Linked Open Data model fit to express the essentials of historical events as described by some source. The reason we did this was that we felt that the efforts of cultural heritage institutions were directed almost exclusively towards the disclosure and accessibility of their collections, but much less so towards telling the story being conveyed by any document or other piece of material evidence of the past.


While, of course, there should always be a link between a digital statement about a situation in times past and the materials on which such a statement would be based, it would be the world upside down if the focus were to lie exclusively on the materials and not on the interpretations they may support.


Representing historical events as open data published on the internet as an endeavour cannot be founded on a single effort, it is due to take time. However, we feel that this is not a reason not to embark on such a project. Instead of developing theoretical models of what historical events exactly are and how they should universally be modelled, we approached the problem from the other side: transposing historical events as presented in a historical work into Linked Open Data, and see what kind of complexities we would encounter. In doing so, we adopted an event model best suited to our requirements and tried to use it in order to express the various layers of any event. As our principal source we selected the 19th-century Dutch Geographical Dictionary (13 volumes, 1839-1851) by A.J. van der Aa (https://en.wikipedia.org/wiki/Abraham_Jacob_van_der_Aa). This work abundantly supplied us with cases in which we had to deal with temporal perspectives (did this 19th-century author when talking about a particular place mean the same things as we do now), conflicting interpretations and so on.


We named our project PiOCHE: Persons in Objectified Complex Historical Events. As an acronym, it stands for chopping our way through unruly materials that are about, or salvaged from, history.


http://doi.org/10.5334/johd.84 - article in Journal of Open Humanities Data (02 Sep 2022)
description: Dataset: https://data.pldn.nl/DBpediaAssociation-NL/PiOCHE.
SPARQL: hhttps://data.pldn.nl/DBpediaAssociation-NL/PiOCHE/sparql/PiOCHE-SPARQL.
Elasticsearch: https://data.pldn.nl/DBpediaAssociation-NL/PiOCHE/elasticsearch/PiOCHE-ElasticSearch/text
Queries: https://data.pldn.nl/DBpediaAssociation-NL/-/queries
Article: http://doi.org/10.5334/johd.84