cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.k45sm8
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvia verbenaca L.",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 66 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081045-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urpnk5
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvia verbenaca L.",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 247 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081046-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.60bd5z31
title: THASOS - " Grande liste des théores " - Bloc IG XII Suppl. 370 - milieu
title: IE00172

description: déchiré
description: Provenance: France
description: Provenance: Lyon
description: Provenance: UMR 5189 HiSoMA
description: Provenance: 3e étage
description: Provenance: 7, rue Raulin
description: Provenance: Thasos inv. 300-400
description: created: [1945-1954]
description: modified: 43451.0
DOI: 10.17028/rd.lboro.29437460
title: Supplementary information files for "Do home mathematical activities relate to early mathematical skills? A systematic review and meta‐analysis"

description: Supplementary files for article "Do home mathematical activities relate to early mathematical skills? A systematic review and meta‐analysis"<br><br>Children's foundational mathematical skills are critical for future academic attainment. While home mathematical activities (HMAs) have been proposed to support these skills, the extent to which engaging in them supports mathematical skills remains unclear. This preregistered systematic review and multilevel meta‐analysis identified 351 effect sizes from 72 samples in 20 countries, exploring the relation between frequency of HMAs and mathematical skills in children aged 7 years and under (Mage = 61 months). A small significant positive relation was found (r = .13), moderated by risk of bias, with larger effects associated with a higher risk of bias. Specific ways the field can move forward are discussed to better understand the role of the home mathematical environment in early mathematics.<br><br>©The Author(s), CC BY 4.0
DOI: 10.17028/rd.lboro.29437460.v1
title: Supplementary information files for "Do home mathematical activities relate to early mathematical skills? A systematic review and meta‐analysis"

description: Supplementary files for article "Do home mathematical activities relate to early mathematical skills? A systematic review and meta‐analysis"<br><br>Children's foundational mathematical skills are critical for future academic attainment. While home mathematical activities (HMAs) have been proposed to support these skills, the extent to which engaging in them supports mathematical skills remains unclear. This preregistered systematic review and multilevel meta‐analysis identified 351 effect sizes from 72 samples in 20 countries, exploring the relation between frequency of HMAs and mathematical skills in children aged 7 years and under (Mage = 61 months). A small significant positive relation was found (r = .13), moderated by risk of bias, with larger effects associated with a higher risk of bias. Specific ways the field can move forward are discussed to better understand the role of the home mathematical environment in early mathematics.<br><br>©The Author(s), CC BY 4.0
DOI: 10.15468/dl.wbdemm
title: Occurrence Download

description: A dataset containing 150657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lophoceros nasutus (Linnaeus, 1766)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 150657 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081022-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/kxlxoz
title: 4.4.a_individus_pprn_aytre_chatel_2018_2022.csv
DOI: 10.57745/rhsmbl
title: 4.4.b_logements_pprn_aytre_chatel_2018_2022.csv
DOI: 10.57745/a0uvef
title: 4.4_xmt_pprn_mobres_v2.R
DOI: 10.57745/1ea8nf
title: README.txt
DOI: 10.5281/zenodo.15072310
title: Dataset: Predictors of metabolic syndrome among teachers in under-resourced schools in South Africa: Baseline findings from the KaziHealth workplace health intervention

description: Dataset for the published paper:Predictors of metabolic syndrome among teachers in under-resourced schools in South Africa: Baseline findings from the KaziHealth workplace health intervention.

Published in PLOS Global Public Health (DOI: https://doi.org/10.1371/journal.pgph.0004681)

This dataset accompanies the manuscript submitted to PLOS Global Public Health. It provides the data used to explore the prevalence and predictors of metabolic syndrome (MetS) among teachers in under-resourced schools in Gqeberha, South Africa. The study assessed the association between MetS and modifiable risk factors of non-communicable diseases (NCDs), including physical inactivity, tobacco and alcohol use, and unhealthy dietary intake.

Dataset structure





File name: ds_pred_mets_teachers_sa




Number of rows: 168 (representing teachers)




Number of variables: 39




Format: RData (for use in R statistical software) and CSV (comma-separated values for universal access)




README file included with detailed variable descriptions



Key variables include:





Demographics: age, sex, race, education, socio-economic status




Metabolic syndrome markers: BMI, waist circumference, blood pressure, triglycerides, HDL cholesterol, glycated haemoglobin




Lifestyle factors: physical activity (ENMO, MVPA), tobacco use, alcohol use, dietary intake (fat, sugar, sodium)



LicensingThis dataset is shared under a Creative Commons Attribution 4.0 International (CC-BY 4.0) license. Users are free to reuse the data with proper attribution.

CitationPlease cite the dataset and paper as follows:

Nandi Joubert¹²³⁴*, Larissa Adams⁴, Jan Hattendorf¹², Jan Degen³, Danielle Dolley⁴, Annelie Gresse⁵, Ivan Müller³, Siphesihle Nqweniso⁴, Nicole Probst-Hensch¹², Harald Seelig³, Peter Steinmann¹², Rosa du Randt⁴, Uwe Pühse³, Jürg Utzinger¹²¶, Markus Gerber³¶, Cheryl Walter⁴¶

Affiliations:





Swiss Tropical and Public Health Institute, Allschwil, Switzerland




University of Basel, Basel, Switzerland




Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland




Department of Human Movement Science, Nelson Mandela University, Gqeberha, South Africa




Department of Human Nutrition and Dietetics, Nelson Mandela University, Gqeberha, South Africa¶ Authors share senior authorship* Corresponding author



ContactFor questions about the dataset, please contact: Nandi Joubert (nandi.joubert@swisstph.ch)
DOI: 10.5281/zenodo.15072311
title: Dataset: Predictors of metabolic syndrome among teachers in under-resourced schools in South Africa: Baseline findings from the KaziHealth workplace health intervention

description: Dataset for the published paper:Predictors of metabolic syndrome among teachers in under-resourced schools in South Africa: Baseline findings from the KaziHealth workplace health intervention.

Published in PLOS Global Public Health (DOI: https://doi.org/10.1371/journal.pgph.0004681)

This dataset accompanies the manuscript submitted to PLOS Global Public Health. It provides the data used to explore the prevalence and predictors of metabolic syndrome (MetS) among teachers in under-resourced schools in Gqeberha, South Africa. The study assessed the association between MetS and modifiable risk factors of non-communicable diseases (NCDs), including physical inactivity, tobacco and alcohol use, and unhealthy dietary intake.

Dataset structure





File name: ds_pred_mets_teachers_sa




Number of rows: 168 (representing teachers)




Number of variables: 39




Format: RData (for use in R statistical software) and CSV (comma-separated values for universal access)




README file included with detailed variable descriptions



Key variables include:





Demographics: age, sex, race, education, socio-economic status




Metabolic syndrome markers: BMI, waist circumference, blood pressure, triglycerides, HDL cholesterol, glycated haemoglobin




Lifestyle factors: physical activity (ENMO, MVPA), tobacco use, alcohol use, dietary intake (fat, sugar, sodium)



LicensingThis dataset is shared under a Creative Commons Attribution 4.0 International (CC-BY 4.0) license. Users are free to reuse the data with proper attribution.

CitationPlease cite the dataset and paper as follows:

Nandi Joubert¹²³⁴*, Larissa Adams⁴, Jan Hattendorf¹², Jan Degen³, Danielle Dolley⁴, Annelie Gresse⁵, Ivan Müller³, Siphesihle Nqweniso⁴, Nicole Probst-Hensch¹², Harald Seelig³, Peter Steinmann¹², Rosa du Randt⁴, Uwe Pühse³, Jürg Utzinger¹²¶, Markus Gerber³¶, Cheryl Walter⁴¶

Affiliations:





Swiss Tropical and Public Health Institute, Allschwil, Switzerland




University of Basel, Basel, Switzerland




Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland




Department of Human Movement Science, Nelson Mandela University, Gqeberha, South Africa




Department of Human Nutrition and Dietetics, Nelson Mandela University, Gqeberha, South Africa¶ Authors share senior authorship* Corresponding author



ContactFor questions about the dataset, please contact: Nandi Joubert (nandi.joubert@swisstph.ch)
DOI: 10.15468/dl.kxkj5u
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica Marshall",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081051-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26007/5kzb-6848
title: Reference Files Used in Calibrating Data from the New Horizons (NH) Long Range Reconnaissance Imager (LORRI), Version 1.0

description: This collection contains ancillary files used in the calibration of data 
 from the Long Range Reconnaissance Imager (LORRI) instrument for all
 phases of the New Horizons primary and extended missions.
 
 These files are not the result of LORRI observations. They consist of
 flat fields, bad pixel maps, bias images, responsivity curves, and
 similar products derived from the literature, ground testing, and so on.
 
 These data were migrated from Planetary Data System (PDS) PDS3 format datasets.
 Labels were redesigned during migration, but the data files are unchanged from 
 their PDS3 version.
DOI: 10.15468/dl.vxg2eb
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica Marshall",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081053-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8b5zx
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica Marshall",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 142 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081052-250525065834625/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.28908356.v2
title: ghkfkhfkhfkfghfhfhkf

description: kghfkghfhkfhgkffghf
DOI: 10.5281/zenodo.15775018
title: ncbi_lineages_2025-06-30.csv
DOI: 10.5281/zenodo.15775019
title: ncbi_lineages_2025-06-30.csv
DOI: 10.5281/zenodo.15285102
title: Analysis Spreadsheet: Software Engineering and Project Management Forums on Stack Exchange

description: Dataset: Analysis Spreadsheet: Software Engineering and Project Management Forums on Stack Exchange

DescriptionThis dataset contains the results of a thematic analysis conducted on discussions from two Stack Exchange communities: Software Engineering and Project Management.  The analysis explores developers’ perceptions of productivity challenges, their impacts on well-being, and the effects on technical tasks.

The dataset is intended to support further research in software engineering, human factors, productivity studies, and qualitative analysis of practitioner discussions.

Files Included- Analysis of SE and PM Forums.xlsx- Analysis of SE and PM Forums.ods

Both files contain identical content in different formats (Excel `.xlsx` and OpenDocument `.ods`) for accessibility.

ContentsEach spreadsheet contains:

- Codebook:  - Productivity Challenges (21 categories)  - Impacts on Professionals (17 categories)  - Impacts on Tasks (8 categories)- SE forum and PM forum data** with annotations and coder comments

UsageResearchers can use this dataset to:- Explore how developers perceive productivity in real-world settings.- Conduct secondary analyses or replicate thematic patterns.- Extend the analysis to new communities or additional dimensions (e.g., well-being, organizational factors).- Develop tools, surveys, or models informed by practitioners’ lived experiences.

LicenseThis dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).  You are free to share, adapt, and build upon the material, provided appropriate credit is given.
DOI: 10.5281/zenodo.15285103
title: Analysis Spreadsheet: Software Engineering and Project Management Forums on Stack Exchange

description: Dataset: Analysis Spreadsheet: Software Engineering and Project Management Forums on Stack Exchange

DescriptionThis dataset contains the results of a thematic analysis conducted on discussions from two Stack Exchange communities: Software Engineering and Project Management.  The analysis explores developers’ perceptions of productivity challenges, their impacts on well-being, and the effects on technical tasks.

The dataset is intended to support further research in software engineering, human factors, productivity studies, and qualitative analysis of practitioner discussions.

Files Included- Analysis of SE and PM Forums.xlsx- Analysis of SE and PM Forums.ods

Both files contain identical content in different formats (Excel `.xlsx` and OpenDocument `.ods`) for accessibility.

ContentsEach spreadsheet contains:

- Codebook:  - Productivity Challenges (21 categories)  - Impacts on Professionals (17 categories)  - Impacts on Tasks (8 categories)- SE forum and PM forum data** with annotations and coder comments

UsageResearchers can use this dataset to:- Explore how developers perceive productivity in real-world settings.- Conduct secondary analyses or replicate thematic patterns.- Extend the analysis to new communities or additional dimensions (e.g., well-being, organizational factors).- Develop tools, surveys, or models informed by practitioners’ lived experiences.

LicenseThis dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).  You are free to share, adapt, and build upon the material, provided appropriate credit is given.
DOI: 10.5281/zenodo.4710033
title: InSAR (Sentinel 1) Teil EQ Nov, 2019

description: This is the Teil EQ (Nov. 2019) InSAR displacement map computing from Sentinel-1data.
DOI: 10.5281/zenodo.4710034
title: InSAR (Sentinel 1) Teil EQ Nov, 2019

description: This is the Teil EQ (Nov. 2019) InSAR displacement map computing from Sentinel-1data.
DOI: 10.15468/dl.whr7pu
title: Occurrence Download

description: A dataset containing 13721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "Geometry POLYGON((-75.3854 9.45952,-75.24398 9.45952,-75.24398 9.62628,-75.3854 9.62628,-75.3854 9.45952))",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia",
 "Year 2015-2025"
 ]
}

 The dataset includes 13721 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081054-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kebkat
title: Occurrence Download

description: A dataset containing 1195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lophoceros pallidirostris (Hartlaub & Finsch, 1870)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1195 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081056-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.345302
title: InSAR 2015 Nepal EQ Sentinel 1 ESA

description: InSAR for the 215 Nepal EQ using Sentinel 1 Data.


 


Processed with DIAPASON on GEP.
DOI: 10.15468/dl.x7wbey
title: Occurrence Download

description: A dataset containing 4183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Schinus terebinthifolia Raddi"
 ]
}

 The dataset includes 4183 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081059-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id10513.2
title: StrainInfo SI-ID 10513.2

description: StrainInfo dataset 10513 about a strain of Leuconostoc. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id10514.2
title: StrainInfo SI-ID 10514.2

description: StrainInfo dataset 10514 about a strain of Leuconostoc lactis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id10515.2
title: StrainInfo SI-ID 10515.2

description: StrainInfo dataset 10515 about a strain of a not identified species. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.15468/dl.mf2y7c
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Marsilea batardae Launert)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 102 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003546-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id10516.2
title: StrainInfo SI-ID 10516.2

description: StrainInfo dataset 10516 about a strain of Lactobacillus jensenii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id10517.2
title: StrainInfo SI-ID 10517.2

description: StrainInfo dataset 10517 about a strain of Lactobacillus jensenii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id10518.2
title: StrainInfo SI-ID 10518.2

description: StrainInfo dataset 10518 about a strain of Lactobacillus jensenii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id10519.2
title: StrainInfo SI-ID 10519.2

description: StrainInfo dataset 10519 about a strain of Chryseobacterium hominis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.15468/dl.dr2xu2
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astragalus scorpioides Pourr. ex Willd.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 109 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003547-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id10520.2
title: StrainInfo SI-ID 10520.2

description: StrainInfo dataset 10520 about a strain of Chryseobacterium hominis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id10521.2
title: StrainInfo SI-ID 10521.2

description: StrainInfo dataset 10521 about a strain of Kaistella. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id10522.2
title: StrainInfo SI-ID 10522.2

description: StrainInfo dataset 10522 about a strain of Chryseobacterium taklimakanense. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id10523.2
title: StrainInfo SI-ID 10523.2

description: StrainInfo dataset 10523 about a strain of Chryseobacterium taklimakanense. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id10524.3
title: StrainInfo SI-ID 10524.3

description: StrainInfo dataset 10524 about a strain of Helicobacter pylori. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.