cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3nw6e2
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipcadi longifolium",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 105 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007664-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyh6t9
title: Occurrence Download

description: A dataset containing 11942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.35461 43.35571,5.40504 43.35571,5.40504 43.38985,5.35461 43.38985,5.35461 43.35571))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11942 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007663-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18605414
title: Infrared surface temperature profile data for IR-assisted MEX of PEI

description: This dataset contains the processed infrared surface temperature profile data used in Figure 3 of the manuscript entitled “Rapid Preheating for Extrusion-type Additive Manufacturing of Super-engineering Thermoplastics”.

Temperature was measured using a FLIR T530sc infrared thermal imaging system.
DOI: 10.5281/zenodo.18605413
title: Infrared surface temperature profile data for IR-assisted MEX of PEI

description: This dataset contains the processed infrared surface temperature profile data used in Figure 3 of the manuscript entitled “Rapid Preheating for Extrusion-type Additive Manufacturing of Super-engineering Thermoplastics”.

Temperature was measured using a FLIR T530sc infrared thermal imaging system.
DOI: 10.15468/dl.fecp27
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meehania henryi",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 159 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007665-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7488/ds/8077
title: Data for Paper Astrocyte proximity protects synapses from human amyloid-beta induced degeneration in a mouse in vitro model of early Alzheimer’s disease
title: Astrocytes and Abeta
title: Astrocytes and Abeta

description: Synapse loss is the strongest pathological correlate of cognitive decline in Alzheimer’s disease (AD) and is most pronounced around amyloid plaque pathology in the brain. While mechanisms remain incompletely understood, hyperactivity downstream of soluble amyloid beta (Aβ) is strongly implicated in synapse degeneration. Engulfment of synapses by reactive astrocytes was observed in end-stage disease tissue, particularly around plaques. Due to astrocytes’ role in synaptic modulation, we hypothesized that astrocyte could modulate synapse degeneration downstream of soluble Aβ earlier in disease pathogenesis. To test this, we challenged organotypic mouse brain slices with human AD brain homogenates containing Aβ. Changes in synaptic activity were detected 2h after Aβ challenge, and spine loss was seen after 24h. We observe that Aβ-containing homogenate induces a significant loss of spines compared to controls. Aβ-containing homogenate also causes a significant increase in the frequency of synaptic calcium events, particularly in synapses lost at 24h. Dendritic spines associated with astrocytic processes were significantly more likely to survive at 24h after Aβ challenge and had reduced levels of externalized phosphatidyl serine despite no effect of astrocyte proximity on synaptic activity. Inhibiting astrocytic glutamate transporters prevented the protective effects of astrocytes on synapses indicating that astrocytes are protective of synapses at least in part through removing excess glutamate from the synaptic microenvironment. Our findings suggest that an organotypic mouse brain slice model challenged with disease tissue homogenates effectively recapitulates key features of early Alzheimer's disease, including synapse loss and hyperexcitability. Moreover, they indicate that astrocytes play a protective role in preserving synapses, particularly during short-term exposure to low concentrations of toxic Aβ. Future work is needed to elucidate the role of astrocyte-mediated synapse phagocytosis in response to chronic Aβ exposure.
DOI: 10.15468/dl.ts5fq7
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Disporopsis pernyi",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 388 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007668-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18605631
title: CDP and CIP data
DOI: 10.5281/zenodo.18605632
title: CDP and CIP data
DOI: 10.15468/dl.n29ejg
title: Occurrence Download

description: A dataset containing 16492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Miscanthus sinensis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 16492 records from 374 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007669-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18605564
title: Data

description: Ccollection of data, input and output files by "Quantum ESPRESSO"
DOI: 10.5281/zenodo.18605565
title: Data

description: Ccollection of data, input and output files by "Quantum ESPRESSO"
DOI: 10.15468/dl.7ujzac
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dracaena draco",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 159 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007670-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrc9q4
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dracaena trifasciata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 453 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007673-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byzghz
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.9_1",
 "TaxonKey is Galium boreale",
 "Year 2000-2026"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007674-260208012135463/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/14804790
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.3hdejh
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DecimalLatitude is -34.2385253319336,-34.0930099650595",
 "DecimalLongitude is 24.6133514765779,24.792946646623",
 "TaxonKey is one of (Mammalia, Amphibia, Squamata, Testudines, Crocodylia)"
 ]
}

 The dataset includes 55 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007675-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16780050
title: Navigating the Energy Trilemma in Green Steel: The Australian Case
title: Article results

description: Results of the paper entitled "Navigating the Energy Trilemma in Green Steel: The Australian Case", currently submitted for peer review.
DOI: 10.5281/zenodo.16780049
title: Navigating the Energy Trilemma in Green Steel: The Australian Case
title: Article results

description: Results of the paper entitled "Navigating the Energy Trilemma in Green Steel: The Australian Case", currently submitted for peer review.
DOI: 10.6084/m9.figshare.31313368
title: <b>Transcriptome and proteome</b><b> analysis reveals divergent adaptive strategies in HNEPC and HNE-1 cells under ultra-low background radiation</b>

description: Natural background radiation has affected the life for almost 4 billion years. However, limited studies have investigated the biological effects of ultra-low background radiation (ULBR) in deep underground environments. Deep underground laboratories provide a stable ULBR environment (0.04 µSv/h), offering a unique platform to supplement radiation dose-effect models. This study explored the impact of ULBR on normal nasopharyngeal epithelial cells (HNEPC) and nasopharyngeal carcinoma cells (HNE-1), indicating that the ULBR environment significantly inhibited the proliferation of cells. Transcriptomic and proteomic results indicated that HNEPC cells triggered adaptive strategies (e.g., activation of the p53 pathway, enhancing antioxidative capacity) to cope with cellular stress under the ULBR environment; HNE-1 cells exhibited more pronounced changes in the transcriptome and proteome, and reduced their invasion, migration, proliferation, and metabolic capabilities through unique pathways (e.g., metabolic reprogramming, inhibition of the tumor necrosis factor and NF-κB signaling pathways). This study provides new insights into the dose-biological effects of radiation and complements the theoretical foundation for the study and utilization of the deep underground ULBR environment.
DOI: 10.6084/m9.figshare.31313368.v1
title: <b>Transcriptome and proteome</b><b> analysis reveals divergent adaptive strategies in HNEPC and HNE-1 cells under ultra-low background radiation</b>

description: Natural background radiation has affected the life for almost 4 billion years. However, limited studies have investigated the biological effects of ultra-low background radiation (ULBR) in deep underground environments. Deep underground laboratories provide a stable ULBR environment (0.04 µSv/h), offering a unique platform to supplement radiation dose-effect models. This study explored the impact of ULBR on normal nasopharyngeal epithelial cells (HNEPC) and nasopharyngeal carcinoma cells (HNE-1), indicating that the ULBR environment significantly inhibited the proliferation of cells. Transcriptomic and proteomic results indicated that HNEPC cells triggered adaptive strategies (e.g., activation of the p53 pathway, enhancing antioxidative capacity) to cope with cellular stress under the ULBR environment; HNE-1 cells exhibited more pronounced changes in the transcriptome and proteome, and reduced their invasion, migration, proliferation, and metabolic capabilities through unique pathways (e.g., metabolic reprogramming, inhibition of the tumor necrosis factor and NF-κB signaling pathways). This study provides new insights into the dose-biological effects of radiation and complements the theoretical foundation for the study and utilization of the deep underground ULBR environment.
DOI: 10.5281/zenodo.14711024
title: BALTRAD_VPTS - Vertical profiles of biological targets derived from European weather radars

description: BALTRAD_VPTS - Vertical profiles of biological targets derived from European weather radars is a vertical profile time series dataset published by the Research Institute for Nature and Forest (INBO). It contains animal movement data derived from 151 European weather radars in 18 countries, with varying coverage from 2012 to 2023. These data were created by processing weather radar data - provided by the Operational Programme for the Exchange of Weather Radar Information (OPERA) - with methods optimized for extracting bird targets. The resulting data are vertical profile time series (VPTS), containing the density, speed and direction of biological targets within a weather radar (radar) volume, grouped into altitude bins (height) and measured over time (datetime). The data are also available in the Aloft data portal.



See Desmet et al. (2025, https://doi.org/10.1038/s41597-025-04641-5) for a more detailed description of this dataset.


Files

VPTS data in this deposit are organized per country (.tgz file), radar (directory), year (directory) and month (.csv.gz file). Fields in the data follow the VPTS CSV format and are described in vpts-csv-table-schema.json. An overview of what data are available is provided in coverage.csv. Radar metadata can be found at https://aloftdata.eu/radars/.



coverage.csv: coverage of the VPTS data, representing the number of unique hours, heights, source files and records for each radar and date combination.

vpts-csv-table-schema.json: technical description of the fields in the VPTS data.

be.tgz: VPTS data from 2 radars in Belgium.

ch.tgz: VPTS data from 5 radars in Switzerland.

cz.tgz: VPTS data from 2 radars in Czechia.

de.tgz: VPTS data from 20 radars in Germany.

dk.tgz: VPTS data from 5 radars in Denmark.

ee.tgz: VPTS data from 2 radars in Estonia.

es.tgz: VPTS data from 15 radars in Spain.

fi.tgz: VPTS data from 13 radars in Finland.

fr.tgz: VPTS data from 26 radars in France.

hr.tgz: VPTS data from 7 radars in Croatia.

il.tgz: VPTS data from 1 radar in Israel.

nl.tgz: VPTS data from 3 radars in the Netherlands.

no.tgz: VPTS data from 11 radars in Norway.

pl.tgz: VPTS data from 8 radars in Poland.

pt.tgz: VPTS data from 3 radars in Portugal.

se.tgz: VPTS data from 22 radars in Sweden.

si.tgz: VPTS data from 2 radars in Slovenia.

sk.tgz: VPTS data from 4 radars in Slovakia.


Acknowledgements

This dataset was processed using infrastructure provided by the University of Amsterdam, SURF Cooperative, Ghent University and the Research Institute for Nature and Forest (INBO). It was mainly supported by the GloBAM project, funded through the 2017-18 Belmont Forum and BiodivERsA joint call for research proposals under the BiodivScen ERA-Net COFUND programme.
description: This version adds a coverage.csv file.
DOI: 10.15468/dl.jengt7
title: Occurrence Download

description: A dataset containing 333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Drimia altissima",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 333 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007676-260208012135463/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/14804843
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.15468/dl.ykpdq9
title: Occurrence Download

description: A dataset containing 377817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((77.708491 12.409900, 77.698771 12.506288, 77.669983 12.598973, 77.623233 12.684391, 77.560319 12.759261, 77.483658 12.820705, 77.396196 12.866362, 77.301294 12.894478, 77.202600 12.903971, 77.103906 12.894478, 77.009004 12.866362, 76.921542 12.820705, 76.844881 12.759261, 76.781967 12.684391, 76.735217 12.598973, 76.706429 12.506288, 76.696709 12.409900, 76.706429 12.313512, 76.735217 12.220827, 76.781967 12.135409, 76.844881 12.060539, 76.921542 11.999095, 77.009004 11.953438, 77.103906 11.925322, 77.202600 11.915829, 77.301294 11.925322, 77.396196 11.953438, 77.483658 11.999095, 77.560319 12.060539, 77.623233 12.135409, 77.669983 12.220827, 77.698771 12.313512, 77.708491 12.409900))",
 "Year is greater than or equal to 2021",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 {
 "not" : {
 "PublishingOrg" : [
 "is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 377817 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007657-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phyjzd
title: Occurrence Download

description: A dataset containing 115650 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Isle of Wight Notable Species"
 ]
}

 The dataset includes 115650 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007672-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3quhmj
title: Occurrence Download

description: A dataset containing 390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Drimia maritima",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 390 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007677-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11587/kfqbth/kvwwa5
title: 10893_mr_de_v1_0.pdf

description: Method report – German
DOI: 10.11587/kfqbth/edci38
title: 10893_da01_de_v1_0.zip

description: Core data file – compressed CSV format (Primary schools) – 288 Variables, 169 Observations – German
DOI: 10.11587/kfqbth/oflxiy
title: 10893_da01_de_v1_0.zsav

description: Core data file – compressed SPSS format (Primary schools) – 288 Variables, 169 Observations – German
DOI: 10.11587/kfqbth/5pn997
title: 10893_vi01_de_v1_0.tab

description: Variable identifiers and descriptions (Primary schools) – machine-readable – German
DOI: 10.11587/kfqbth/xofjpy
title: 10893_da02_de_v1_0.zip

description: Core data file – compressed CSV format (Secondary schools) – 469 Variables, 511 Observations – German
DOI: 10.11587/kfqbth/0lnlrg
title: 10893_da02_de_v1_0.zsav

description: Core data file – compressed SPSS format (Secondary schools) – 469 Variables, 511 Observations – German
DOI: 10.11587/kfqbth/dcvs2j
title: 10893_vi02_de_v1_0.tab

description: Variable identifiers and descriptions (Secondary schools) – machine-readable – German
DOI: 10.11587/kfqbth/dnmt9q
title: 10893_qu01_de_v1_0.pdf

description: Questionnaire (Primary schools) – German
DOI: 10.11587/kfqbth/kx3zwv
title: 10893_qu02_de_v1_0.pdf

description: Questionnaire (Secondary schools) – German
DOI: 10.11587/kfqbth/5kbbiu
title: 10893_readme.pdf

description: Data curation protocol
DOI: 10.11587/kfqbth/6pzgds
title: 10893_qu03_de_v1_0.pdf

description: Questionnaire: Paper (Primary schools) – German
DOI: 10.11587/kfqbth/chia1e
title: 10893_co01_de_v1_0.pdf

description: Codebook (Primary schools) – German
DOI: 10.11587/kfqbth/gbw6da
title: 10893_co02_de_v1_0.pdf

description: Codebook (Secondary schools) – German
DOI: 10.11587/kfqbth/zprehi
title: 10893_da01_de_v1_0.tab

description: Core data file – STATA format (Primary schools) – 288 Variables, 169 Observations – German
DOI: 10.11587/kfqbth/adqleh
title: 10893_da02_de_v1_0.tab

description: Core data file – STATA format (Secondary schools) – 469 Variables, 511 Observations – German
DOI: 10.11587/kfqbth
title: Circus of Knowledge - Integrating Arts into STEM education (SUF edition)
title: Zirkus des Wissens

description: Full edition for scientific use. The dataset was collected as part of the Sparkling Science project "Zirkus des Wissens" an interdisciplinary educational initiative funded by the Austrian Agency for Education and Internationalization (OeAD). The project aimed to explore the integration of arts into STEM education (STEAM) to enhance learning motivation, self-efficacy, and social dynamics among students. Data was gathered over three school years (2022/23 to 2024/25) through quantitative methods (surveys). The dataset includes responses from students across eight schools in Linz and its surroundings, as well as insights from teachers who participated in the project. The scope of the dataset encompasses variables such as students' motivational characteristics (e.g., self-efficacy, interest in STEM and arts), social relationships, and the perceived impact of arts-based teaching methods. The dataset provides a comprehensive foundation for analyzing the effects of interdisciplinary teaching strategies on educational outcomes and offers valuable insights for the development of innovative learning methods. All data was anonymized and processed in compliance with GDPR regulations to ensure participant privacy.
DOI: 10.13140/rg.2.2.17230.93768
title: ZikVpsRNATargets
DOI: 10.5281/zenodo.13629331
title: UVA_VPTS - Vertical profiles of biological targets derived from weather radars in Belgium, Germany and the Netherlands

description: UVA_VPTS - Vertical profiles of biological targets derived from weather radars in Belgium, Germany and the Netherlands is a vertical profile time series dataset published by the Research Institute for Nature and Forest (INBO). It contains animal movement data derived from 24 weather radars in Belgium, Germany and the Netherlands, with varying coverage from 2008 to 2023. These data were created by processing weather radar data - provided by the Royal Meteorological Institute of Belgium (RMI), German Meteorological Service (DWD) and Royal Netherlands Meteorological Institute (KMNI) - with methods optimized for extracting bird targets. The resulting data are vertical profile time series (VPTS), containing the density, speed and direction of biological targets within a weather radar (radar) volume, grouped into altitude bins (height) and measured over time (datetime). The data are also available in the Aloft data portal.

Files

Data in this deposit are organized per country (.tgz file), radar (directory), year (directory) and month (.csv.gz file). Fields in the data follow the VPTS CSV format and are described in vpts-csv-table-schema.json. Radar metadata can be found at https://aloftdata.eu/radars/.



vpts-csv-table-schema.json: technical description of the fields.

be.tgz: data from 3 radars in Belgium.

de.gz: data from 18 radars in Germany.

nl.gz: data from 3 radars in the Netherlands.


Acknowledgements

This dataset was processed using infrastructure provided by the University of Amsterdam, SURF Cooperative, Ghent University and the Research Institute for Nature and Forest (INBO). It was mainly supported by the GloBAM project, funded through the 2017-18 Belmont Forum and BiodivERsA joint call for research proposals under the BiodivScen ERA-Net COFUND programme.