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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Algeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035019-250811113504898/datasets/export for details.
DOI: 10.15468/dl.pxjqhy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035020-250811113504898/datasets/export for details.
DOI: 10.15468/dl.vzudby
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Cyprus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035021-250811113504898/datasets/export for details.
DOI: 10.15468/dl.b4jvzc
title: Occurrence Download

description: A dataset containing 343850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Festuca rubra",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 343850 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035007-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16739166
title: LamaH-CE in RDF: Large-Sample Hydrology Dataset for Central Europe as a Knowledge Graph

description: This dataset presents an RDF (Turtle syntax) version of the LamaH-CE (LArge-sample DAta for Hydrology and Environmental Sciences for Central Europe) dataset, converted from CSV files using the open-source HydroTurtle tool (https://github.com/shamilasudalshana/NFDI4Earth-HydroTurtle). The purpose of this conversion is to enhance the interoperability, reusability, and FAIRness of hydrometeorological data, in line with the principles of the Semantic Web and Linked Open Data.

The dataset covers the period 1981–2019 and includes data for all 859 gauging stations from the original LamaH-CE dataset. Attributes span multiple domains including climate, hydrology, topography, land use, and anthropogenic influence. Some attribute categories are pending inclusion and will be added in future updates.

The RDF data modeling is based on a combination of established ontologies, including:





SOSA/SSN (Sensor, Observation, Sample, and Actuator)




QUDT (Quantities, Units, Dimensions, and Data Types)




GeoSPARQL (for spatial data)




Dublin Core, Schema.org, and SKOS (for metadata and classification)




EnvThes (for environmental terminology)




HM-Ontology – a custom ontology developed as part of this project, to cover hydrological and meteorological concepts not addressed by existing vocabularies.



URIs are assigned to individual catchments, variables, and observations, enabling integration with other Linked Data sources and facilitating semantic queries. The RDF output is organized per catchment as multiple Turtle (.ttl) files. When loaded into a triple store, these can be unified into a single graph for querying and reasoning.

This conversion was developed as part of the NFDI4Earth inititative. The dataset is licensed under CC-BY 4.0.

This dataset is intended to support researchers and developers working on hydrology, environmental data integration, knowledge graphs, and natural language question answering over Linked Data.
DOI: 10.5281/zenodo.16739167
title: LamaH-CE in RDF: Large-Sample Hydrology Dataset for Central Europe as a Knowledge Graph

description: This dataset presents an RDF (Turtle syntax) version of the LamaH-CE (LArge-sample DAta for Hydrology and Environmental Sciences for Central Europe) dataset, converted from CSV files using the open-source HydroTurtle tool (https://github.com/shamilasudalshana/NFDI4Earth-HydroTurtle). The purpose of this conversion is to enhance the interoperability, reusability, and FAIRness of hydrometeorological data, in line with the principles of the Semantic Web and Linked Open Data.

The dataset covers the period 1981–2019 and includes data for all 859 gauging stations from the original LamaH-CE dataset. Attributes span multiple domains including climate, hydrology, topography, land use, and anthropogenic influence. Some attribute categories are pending inclusion and will be added in future updates.

The RDF data modeling is based on a combination of established ontologies, including:





SOSA/SSN (Sensor, Observation, Sample, and Actuator)




QUDT (Quantities, Units, Dimensions, and Data Types)




GeoSPARQL (for spatial data)




Dublin Core, Schema.org, and SKOS (for metadata and classification)




EnvThes (for environmental terminology)




HM-Ontology – a custom ontology developed as part of this project, to cover hydrological and meteorological concepts not addressed by existing vocabularies.



URIs are assigned to individual catchments, variables, and observations, enabling integration with other Linked Data sources and facilitating semantic queries. The RDF output is organized per catchment as multiple Turtle (.ttl) files. When loaded into a triple store, these can be unified into a single graph for querying and reasoning.

This conversion was developed as part of the NFDI4Earth inititative. The dataset is licensed under CC-BY 4.0.

This dataset is intended to support researchers and developers working on hydrology, environmental data integration, knowledge graphs, and natural language question answering over Linked Data.
DOI: 10.6084/m9.figshare.29973401
title: Computational insights into <i>PKCθ</i> non-synonymous SNPs: from structural changes to functional implications

description: Single-nucleotide polymorphisms (SNPs) play a critical role in individual diversity, genome evolution, and susceptibility to diseases such as cancer and diabetes. This study focuses on the <i>PRKCQ</i> gene, encoding protein kinase C theta (<i>PKCθ</i>), a serine/threonine kinase belonging to the PKC family, involved in immune response and cancer progression. Pathogenicity assessment using multiple bioinformatic tools identified six highly pathogenic non-synonymous SNPs (nsSNPs), all predicted to be oncogenic (rs1838691533 R6W, rs145984477 P27L, rs1248923790 C29Y, rs1837738907 R145C, rs1837738573 R146W, rs1403981107 L495P). Structural predictions and domain analyses identified crucial functional regions in <i>PKCθ</i>, with specific variants located in domains essential for membrane binding and catalytic activity. Conservation profiling highlighted the evolutionary significance of these residues, indicating their critical roles in protein function. Stability analysis of selected nsSNPs demonstrated that most variations decrease protein stability, confirmed by various computational tools. Molecular dynamics (MD) simulations further showed that these variants significantly alter <i>PKCθ</i>’s conformation and stability, impacting its function. These findings underscore the importance of <i>PKCθ</i> in oncogenic signaling and highlight the potential for targeted therapies and personalised medicine approaches to address <i>PRKCQ-</i>associated diseases.
DOI: 10.6084/m9.figshare.29973401.v1
title: Computational insights into <i>PKCθ</i> non-synonymous SNPs: from structural changes to functional implications

description: Single-nucleotide polymorphisms (SNPs) play a critical role in individual diversity, genome evolution, and susceptibility to diseases such as cancer and diabetes. This study focuses on the <i>PRKCQ</i> gene, encoding protein kinase C theta (<i>PKCθ</i>), a serine/threonine kinase belonging to the PKC family, involved in immune response and cancer progression. Pathogenicity assessment using multiple bioinformatic tools identified six highly pathogenic non-synonymous SNPs (nsSNPs), all predicted to be oncogenic (rs1838691533 R6W, rs145984477 P27L, rs1248923790 C29Y, rs1837738907 R145C, rs1837738573 R146W, rs1403981107 L495P). Structural predictions and domain analyses identified crucial functional regions in <i>PKCθ</i>, with specific variants located in domains essential for membrane binding and catalytic activity. Conservation profiling highlighted the evolutionary significance of these residues, indicating their critical roles in protein function. Stability analysis of selected nsSNPs demonstrated that most variations decrease protein stability, confirmed by various computational tools. Molecular dynamics (MD) simulations further showed that these variants significantly alter <i>PKCθ</i>’s conformation and stability, impacting its function. These findings underscore the importance of <i>PKCθ</i> in oncogenic signaling and highlight the potential for targeted therapies and personalised medicine approaches to address <i>PRKCQ-</i>associated diseases.
DOI: 10.15468/dl.kb4xy4
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 55 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035023-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hptcm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035024-250811113504898/datasets/export for details.
DOI: 10.15468/dl.ptgf3w
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035025-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16932809
title: The global burden of PH is associated with seafood-omega-3 fat intake.
DOI: 10.5281/zenodo.16932808
title: The global burden of PH is associated with seafood-omega-3 fat intake.
DOI: 10.15468/dl.uzj5t7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Libya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035028-250811113504898/datasets/export for details.
DOI: 10.15468/dl.tf5juf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035026-250811113504898/datasets/export for details.
DOI: 10.6084/m9.figshare.29973412
title: Data for Activity Intensity and Fall-Related Deaths Among Older Adults Study

description: This study uses data from the Integrated Public Use Microdata Series of the National Health Interview Survey (IPUMS-NHIS), a nationally representative, population-based survey of the civilian, non-institutionalized U.S. population. The IPUMS-NHIS harmonizes NHIS data across years to allow for consistent analysis of health trends. For this project, we extracted variables related to physical activity intensity and linked mortality follow-up data from the National Death Index to identify fall-related deaths. These harmonized data provide nationally representative estimates for evaluating the relationship between activity intensity and fall-related mortality among U.S. adults.
DOI: 10.6084/m9.figshare.29973412.v1
title: Data for Activity Intensity and Fall-Related Deaths Among Older Adults Study

description: This study uses data from the Integrated Public Use Microdata Series of the National Health Interview Survey (IPUMS-NHIS), a nationally representative, population-based survey of the civilian, non-institutionalized U.S. population. The IPUMS-NHIS harmonizes NHIS data across years to allow for consistent analysis of health trends. For this project, we extracted variables related to physical activity intensity and linked mortality follow-up data from the National Death Index to identify fall-related deaths. These harmonized data provide nationally representative estimates for evaluating the relationship between activity intensity and fall-related mortality among U.S. adults.
DOI: 10.15468/dl.wvzkxa
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Lebanon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035027-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9qjgf
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holcus lanatus",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 127 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035029-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqmwwq
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holcus lanatus",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 207 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035031-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jqg7b
title: Occurrence Download

description: A dataset containing 28602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holcus lanatus",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28602 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035030-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyuypt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Syrian Arab Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035032-250811113504898/datasets/export for details.
DOI: 10.15468/dl.qn4aqj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Tunisia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035033-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7k2495
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiramphus far",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035034-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zatesg
title: Occurrence Download

description: A dataset containing 649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holcus lanatus",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 649 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035035-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6j8aa
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holcus lanatus",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 112 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035036-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/gwqp2z
title: Multi-year Long COVID study

description: In February 2022, C-support, together with Erasmus MC, started a large-scale multi-year study into Long COVID. People who had been registered with C-support up to January 2022 with long-term complaints after a COVID-19 infection and who had the 1th questionnaire are invited annually for an extensive questionnaire. So far there have been three rounds of questionnaires: more than 11.000 people have completed the 1th questionnaire was completed and approximately 8.000 people completed the 2nd and/or 3rd questionnaire.

An overview of the topics per questionnaire and more information is available on our website: https://en.c-support.nu/data-aanvraag-meerjarig-long-covid-onderzoek/

You can request a portion of this data to use for your own research or analyses. We can also perform analyses for you, such as creating customized summary tables and/or graphs.
DOI: 10.15468/dl.f93xzd
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holcus lanatus",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035037-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unv3hv
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gasterosteus aculeatus",
 "Country is Algeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035038-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa56ff
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gasterosteus aculeatus",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 65 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035039-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdz2yf
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gasterosteus aculeatus",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035040-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16932754
title: Data repository for Mitigating hidden climate change impacts of timber cities critically depends on proactive forest and waste management

description: Supplementary Information S2

Mitigating hidden climate change impacts of timber cities critically depends on proactive forest and waste management

Alperen Yayla 1,a; Augustin Danneaux 1,2,b; Estelle Schurer 1,3,c; Meng Gao 1,d; Cagatay Demirci 4,e; Colin Rose 5,f; Stijn van Ewijk 5,g; Rupert J. Myers 1,h*

 1 Department of Civil and Environmental Engineering, Imperial College London, Skempton Building, South Kensington Campus, London, SW7 2AZ, UK.

2 CIRED, Ecole des Ponts, AgroParisTech, EHESS, CIRAD, CNRS, Université Paris-Saclay, Nogent-sur-Marne, France.

3 Gensler Europe, Thomas More Square, London, E1W 1YW, UK.

4 B&K Hybrid Solutions, Haslams Lane, Alfreton Road, Derby, DE21 4TS.

5 Department of Civil, Environmental & Geomatic Engineering, University College London, London, WC1E 6BT, United Kingdom

 * Corresponding author

a a.yayla22@imperial.ac.uk, b augustin.danneaux@enpc.fr, c e.schurer@hotmail.co.uk, d m.gao20@imperial.ac.uk, e c.demirci14@alumni.imperial.ac.uk, f colin.rose@ucl.ac.uk, g s.vanewijk@ucl.ac.uk, h r.myers@imperial.ac.uk
DOI: 10.15468/dl.55fmhz
title: Occurrence Download

description: A dataset containing 1157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holcus lanatus",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1157 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035042-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mj8wfb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holcus lanatus",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035043-250811113504898/datasets/export for details.
DOI: 10.15468/dl.uzw7p3
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holcus lanatus",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 198 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035044-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezmccg
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gasterosteus aculeatus",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035045-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.