cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15744151
title: Königsberg /Franken Stadt-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.2g7sqw
title: Occurrence Download

description: A dataset containing 13875 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adansonia L.",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 13875 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069580-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7w8x8
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Phalaenopsis equestris (Schauer) Rchb.f."
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000054-250214093936778/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14870442
title: bioimage.io upload: exquisite-salad

description: View on bioimage.io # NucMM 

Documentation at https://nucmm.grand-challenge.org/
description: NuccMM has fully annotated volumes: one 0.1 mm3 electron microscopy (EM) volume containing nearly the entire zebrafish brain with around 170,000 nuclei; and one 0.25 mm3 micro-CT (uCT) volume containing part of a mouse visual cortex with about 7,000 nuclei. With two imaging modalities and significantly increased volume size and instance numbers, we discover a great diversity of neuronal nuclei in appearance and density, introducing new challenges to the field
(Uploaded via https://bioimage.io)
DOI: 10.5281/zenodo.14870443
title: bioimage.io upload: exquisite-salad

description: View on bioimage.io # NucMM 

Documentation at https://nucmm.grand-challenge.org/
description: NuccMM has fully annotated volumes: one 0.1 mm3 electron microscopy (EM) volume containing nearly the entire zebrafish brain with around 170,000 nuclei; and one 0.25 mm3 micro-CT (uCT) volume containing part of a mouse visual cortex with about 7,000 nuclei. With two imaging modalities and significantly increased volume size and instance numbers, we discover a great diversity of neuronal nuclei in appearance and density, introducing new challenges to the field
(Uploaded via https://bioimage.io)
DOI: 10.15468/dl.a5anuq
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Verticillium nonalfalfae Inderb., H.W.Platt, R.M.Bostock, R.M.Davis & Subbarao"
 ]
}

 The dataset includes 28 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000000-250214102907787/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.28417100
title: Dataset

description: These data are from a study funded by the American Rescue Plan Act of 2021 and the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR)-funded COVID-19 study in three facilities in Kenya.
DOI: 10.6084/m9.figshare.28417100.v1
title: Dataset

description: These data are from a study funded by the American Rescue Plan Act of 2021 and the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR)-funded COVID-19 study in three facilities in Kenya.
DOI: 10.15468/dl.yybkva
title: Occurrence Download

description: A dataset containing 18625817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "DatasetKey is Southern African Bird Atlas Project 2"
 ]
}

 The dataset includes 18625817 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000049-250214093936778/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ednqzc
title: Occurrence Download

description: A dataset containing 4184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Glycine soja Siebold & Zucc."
 ]
}

 The dataset includes 4184 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000004-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngyex9
title: Occurrence Download

description: A dataset containing 1394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Alternaria metachromatica E.G.Simmons"
 ]
}

 The dataset includes 1394 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000006-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14870432
title: A Multi-Model Approach Combining BERT and Generative AI for Sentiment Analysis
DOI: 10.5281/zenodo.14870433
title: A Multi-Model Approach Combining BERT and Generative AI for Sentiment Analysis
DOI: 10.15468/dl.jxwpz5
title: Occurrence Download

description: A dataset containing 8817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Penicillium antarcticum A.D.Hocking & C.F.McRae"
 ]
}

 The dataset includes 8817 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000008-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.km7weq
title: Occurrence Download

description: A dataset containing 5451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Material citation, Material sample)",
 "Country is China",
 "GadmGid is CHN.6.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepidoptera",
 "Year 2009-2023"
 ]
}

 The dataset includes 5451 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000009-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14870444
title: Dataset: 'Protected Designations of Origin' (PDO) per NUTS-3 regions plus PDO-scores and social-ecological indicators (v2)

description: The dataset contains the original research data belonging to the research article "EU-wide mapping of ‘Protected Designations of Origin’ food products (PDOs) reveals correlations with social-ecological landscape values" (Flinzberger et al. 2022: https://doi.org/10.1007/s13593-022-00778-4).

Based on the mapping of 638 food products registered within the EU as 'Protected Designation of Origin' (PDO), the first excel file "EU28_all_PDO_products_per_NUTS3.xlsx" shows the distribution of PDO-labeled products across the EU28 NUTS-3 regions. All NUTS-3 regions are listed once for each PDO product they contain (as by 30 June 2020).

The second excel file "PDO_scores_and_social_ecological_indicator_data.xlsx" includes the accumulated numbers of PDOs per NUTS-3 region (called PDO score) as registered by 30 June 2020. The PDO score is presented for all food products combined, and for four major food categories separately. Further, the excel file contains all aggregated values of social-ecological indicators (including their sources), used for the correlation analysis between PDO scores and social-ecological characteristics in the above-mentioned article.

Code explanations (meta data) can be found on the second sheet of each excel file.

- - - 

second file updated to v2
description: This research has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 426675955.
DOI: 10.5281/zenodo.6483030
title: Dataset: 'Protected Designations of Origin' (PDO) per NUTS-3 regions plus PDO-scores and social-ecological indicators (v2)

description: The dataset contains the original research data belonging to the research article "EU-wide mapping of ‘Protected Designations of Origin’ food products (PDOs) reveals correlations with social-ecological landscape values" (Flinzberger et al. 2022: https://doi.org/10.1007/s13593-022-00778-4).

Based on the mapping of 638 food products registered within the EU as 'Protected Designation of Origin' (PDO), the first excel file "EU28_all_PDO_products_per_NUTS3.xlsx" shows the distribution of PDO-labeled products across the EU28 NUTS-3 regions. All NUTS-3 regions are listed once for each PDO product they contain (as by 30 June 2020).

The second excel file "PDO_scores_and_social_ecological_indicator_data.xlsx" includes the accumulated numbers of PDOs per NUTS-3 region (called PDO score) as registered by 30 June 2020. The PDO score is presented for all food products combined, and for four major food categories separately. Further, the excel file contains all aggregated values of social-ecological indicators (including their sources), used for the correlation analysis between PDO scores and social-ecological characteristics in the above-mentioned article.

Code explanations (meta data) can be found on the second sheet of each excel file.

- - - 

second file updated to v2
description: This research has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 426675955.
DOI: 10.5281/zenodo.6483031
title: Dataset: 'Protected Designations of Origin' (PDO) per NUTS-3 regions plus PDO-scores and social-ecological indicators (new version available)

description: An updated version of this dataset is available here: 10.5281/zenodo.6483030

- - - -

The dataset contains the original research data belonging to the research article "EU-wide mapping of ‘Protected Designations of Origin’ food products (PDOs) reveals correlations with social-ecological landscape values" (Flinzberger et al. 2022: https://doi.org/10.1007/s13593-022-00778-4).

Based on the mapping of 638 food products registered within the EU as 'Protected Designation of Origin' (PDO), the first excel file "EU28_all_PDO_products_per_NUTS3.xlsx" shows the distribution of PDO-labeled products across the EU28 NUTS-3 regions. All NUTS-3 regions are listed once for each PDO product they contain (as by 30 June 2020).

The second excel file "PDO_scores_and_social_ecological_indicator_data.xlsx" includes the accumulated numbers of PDOs per NUTS-3 region (called PDO score) as registered by 30 June 2020. The PDO score is presented for all food products combined, and for four major food categories separately. Further, the excel file contains all aggregated values of social-ecological indicators (including their sources), used for the correlation analysis between PDO scores and social-ecological characteristics in the above-mentioned article.

Code explanations can be found on the second sheet of each excel file.
description: This research has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 426675955.
DOI: 10.18150/9vyrie
title: Space-confined mediation of electron transfer for efficient biomolecular solar conversion

description: The dataset presents the figures and raw data related to the publication "Space-confined mediation of electron transfer for efficient biomolecular solar conversion" by Margot Jacquet, Miriam Izzo, Piotr Wróbel, Marcin Strawski, Massimo Trotta, Rafał Jurczakowski and Joanna KargulMaterials Horizons, 2025DOI: 10.1039/d4mh01266f
DOI: 10.15468/dl.3ksx99
title: Occurrence Download

description: A dataset containing 4848 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((77.97231 32.31273,78.06679 32.31273,78.06679 32.35997,77.97231 32.35997,77.97231 32.31273))"
 ]
}

 The dataset includes 4848 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000011-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17037/data.00004568
title: Search strategies for "Systematic review of qualitative research on children and young people's involvement in violence"

description: This file contains full search strategies for the review across the following databases: ProQuest Applied Social Sciences Index & Abstracts (ASSIA); EBSCOhost British Education Index; EBSCOhost Child Development & Adolescent Studies; ProQuest Criminal Justice Database; EBSCOhost Education Abstracts; Ovid Embase Classic+Embase; EBSCOhost ERIC; Ovid Global Health; ProQuest International Bibliography of the Social Sciences (IBSS); Ovid Medline ALL; Ovid APA PsycInfo; Ovid Social Policy & Practice; ProQuest Social Science Database; ProQuest Sociological Abstracts; ProQuest Sociology Database, EBSCOhost Teacher Reference Center; Clarivate Analytics Web of Science Core Content. Search strategies were run during January 2025. The searches include strings of terms, synonyms and subject headings to reflect the following concepts: serious violence; children and young people aged 10-24 years; qualitative research. A filter limiting to qualitative research was expanded by the team to also include terms to capture papers which include young people’s experiences was included. A published filter was added to limit to studies conducted in the UK and the search was limited to items published in 2000 to present. Details of a grey literature search, including browsing of named websites as well as an anonymous web search are also provided.
DOI: 10.5281/zenodo.14848897
title: Data Used for EDeMOS (Electricity Demand Mapping from Open-Source Data): Kenya Case Study

description: The information in this repository pertains to the Kenya case study for EDeMOS. EDeMOS is an innovative, open-source methodology designed for analyzing electricity consumption at a spatially detailed level in any geography. 

 

References.



A high-resolution gridded dataset to assess electrification in sub-Saharan Africa


Falchetta, G., Pachauri, S., Parkinson, S. et al. A high-resolution gridded dataset to assess electrification in sub-Saharan Africa. Sci Data 6, 110 (2019). https://doi.org/10.1038/s41597-019-0122-6.



Gridded global Gross Domestic Product and Human Development Index datasets over 1990–2015


Kummu, M., Taka, M. & Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018). https://doi.org/10.1038/sdata.2018.4



High-Resolution Electricity Access. set_lightscore_sy_xxxx.tif: Predicted likelihood that a settlement is electrified (0 to 1)


Brian Min, Zachary P. O'Keeffe, Babatunde Abidoye, Kwawu Mensan Gaba, Trevor Monroe, Benjamin P. Stewart, Kim Baugh, Bruno Sánchez-Andrade Nuño, “Lost in the Dark: A Survey of Energy Poverty from Space,” Joule (2024), https://doi.org/10.1016/j.joule.2024.05.001. 



Relative Wealth Index (RWI) 


Samapriya Roy, Swetnam, T., & Saah, A. (2025). samapriya/awesome-gee-community-datasets: Community Catalog (3.2.0). Zenodo. https://doi.org/10.5281/zenodo.14757583. 



Demographic and Health Surveys (DHS). DHS


ICF. Kenya: Standard DHS, 2022 Dataset. The DHS Program website. Funded by USAID. http://www.dhsprogram.com. [Accessed 01, 31, 2025].

other



Kenya Population and Housing Census 2019. KNBS, 2019.
description: Funding

EDeMOS has been produced with support from the Climate Compatible Growth (CCG) programme. CCG is funded by UK aid from the UK government. However, the views expressed herein do not necessarily reflect the UK government’s official policies.
DOI: 10.5281/zenodo.14848898
title: Data Used for EDeMOS (Electricity Demand Mapping from Open-Source Data): Kenya Case Study

description: The information in this repository pertains to the Kenya case study for EDeMOS. EDeMOS is an innovative, open-source methodology designed for analyzing electricity consumption at a spatially detailed level in any geography. 

 

References.



A high-resolution gridded dataset to assess electrification in sub-Saharan Africa


Falchetta, G., Pachauri, S., Parkinson, S. et al. A high-resolution gridded dataset to assess electrification in sub-Saharan Africa. Sci Data 6, 110 (2019). https://doi.org/10.1038/s41597-019-0122-6.



Gridded global Gross Domestic Product and Human Development Index datasets over 1990–2015


Kummu, M., Taka, M. & Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018). https://doi.org/10.1038/sdata.2018.4



High-Resolution Electricity Access. set_lightscore_sy_xxxx.tif: Predicted likelihood that a settlement is electrified (0 to 1)


Brian Min, Zachary P. O'Keeffe, Babatunde Abidoye, Kwawu Mensan Gaba, Trevor Monroe, Benjamin P. Stewart, Kim Baugh, Bruno Sánchez-Andrade Nuño, “Lost in the Dark: A Survey of Energy Poverty from Space,” Joule (2024), https://doi.org/10.1016/j.joule.2024.05.001. 



Relative Wealth Index (RWI) 


Samapriya Roy, Swetnam, T., & Saah, A. (2025). samapriya/awesome-gee-community-datasets: Community Catalog (3.2.0). Zenodo. https://doi.org/10.5281/zenodo.14757583. 



Demographic and Health Surveys (DHS). DHS


ICF. Kenya: Standard DHS, 2022 Dataset. The DHS Program website. Funded by USAID. http://www.dhsprogram.com. [Accessed 01, 31, 2025].

other



Kenya Population and Housing Census 2019. KNBS, 2019.
description: Funding

EDeMOS has been produced with support from the Climate Compatible Growth (CCG) programme. CCG is funded by UK aid from the UK government. However, the views expressed herein do not necessarily reflect the UK government’s official policies.
DOI: 10.15468/dl.jh7yqc
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Penicillium canescens Sopp"
 ]
}

 The dataset includes 190 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000012-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjt8q6
title: Occurrence Download

description: A dataset containing 21444945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "ClassKey" : [
 "is one of (Aves, Mammalia)"
 ]
 }
 },
 "Geometry POLYGON((38.000 85.000, -27.000 85.000, -27.000 56.000, 38.000 56.000, 38.000 85.000))",
 "Year is greater than or equal to 2020"
 ]
}

 The dataset includes 21444945 records from 572 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000003-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7mnja
title: Occurrence Download

description: A dataset listing the 8 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)"
 ]
}

 The dataset's 8 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000005-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4aczr
title: Occurrence Download

description: A dataset containing 18726617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "ClassKey" : [
 "is one of (Aves, Mammalia)"
 ]
 }
 },
 "Geometry POLYGON((38.000 85.000, -27.000 85.000, -27.000 56.000, 38.000 56.000, 38.000 85.000))",
 "Year 2000-2009"
 ]
}

 The dataset includes 18726617 records from 1117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000001-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyxj6d
title: Occurrence Download

description: A dataset containing 496232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phleum pratense)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 496232 records from 2410 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038593-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0198123.10fu
title: SH0198123.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0198124.10fu
title: SH0198124.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.