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

description: A dataset containing 6582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.819634322448586 48.1620681099139, 16.948455829933955 48.15400704132144, 16.960418587216324 48.24082439429953, 16.83137857992937 48.24890142280003, 16.819634322448586 48.1620681099139))"
 ]
}

 The dataset includes 6582 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002263-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7q7bu
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Careya herbacea"
 ]
}

 The dataset includes 31 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002264-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72mea8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Prunus sibirica"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002265-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8ykgx
title: Occurrence Download

description: A dataset containing 2045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-100.80294138395138 20.590698228762093, -100.81126814896759 20.591139048022985, -100.81952607770009 20.590040858193102, -100.82739730236209 20.58744597055961, -100.83457891310093 20.583454349483393, -100.8407946631467 20.57821973357637, -100.84580562462679 20.571943675347352, -100.84941937949095 20.564867736350724, -100.851497390994 20.557264146820227, -100.85196027600897 20.54942529746401, -100.85079078345895 20.541652474326234, -100.84803437543749 20.534244273985134, -100.84379740115085 20.5274851452588, -100.8382429458595 20.52163449520539, -100.83158452406012 20.516916772390932, -100.82407786524595 20.513512900583024, -100.816011109243 20.511553383080386, -100.80769378440895 20.511113333999972, -100.7994449844659 20.51220962041591, -100.79158118742399 20.514800220818927, -100.78440417234779 20.518785823540345, -100.77818948635996 20.524013606208673, -100.77317589534117 20.530283056613747, -100.76955621766628 20.537353619182337, -100.76746989177498 20.544953882192686, -100.76699756658378 20.552791961368882, -100.76815793034955 20.56056668791956, -100.77090691075227 20.567979175489356, -100.77513928937299 20.574744322568872, -100.7806926806005 20.580601805860603, -100.78735373193336 20.58532613649993, -100.7948663135569 20.58873538473774, -100.80294138395138 20.590698228762093))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 2045 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002267-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6kuar
title: Occurrence Download

description: A dataset containing 33831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-73.80445909305203 43.101308283187436, -73.81536827930047 43.10487560222298, -73.82701861929176 43.10681359821255, -73.8389613948328 43.10704760080212, -73.8507365421533 43.105568593367735, -73.86189050126346 43.1024335631865, -73.87199380589304 43.09776328858429, -73.88065771357103 43.09173765159611, -73.8875492175216 43.08458866328901, -73.89240385242115 43.07659147924001, -73.89503580070219 43.0680537608891, -73.89534491983662 43.059303801444166, -73.89332043797629 43.05067788038164, -73.88904119928 43.042507336947594, -73.88267247518209 43.03510585991089, -73.87445948824606 43.02875747849443, -73.86471791635564 43.02370570899627, -73.85382175298341 43.020144264799626, -73.84218899122871 43.01820967641961, -73.83026567315407 43.017976095431806, -73.81850890030128 43.019452474275084, -73.80736943530972 43.02258222585204, -73.79727453785085 43.027245375457404, -73.78861167048366 43.03326312577303, -73.78171368161162 43.04040466640644, -73.77684602383314 43.04839597562078, -73.77419649733162 43.05693028636545, -73.77386792075639 43.065679824209056, -73.775874028169 43.07430837386, -73.78013877274938 43.082484195894075, -73.78649908966048 43.08989279792432, -73.79471103626017 43.096249066012874, -73.80445909305203 43.101308283187436))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 33831 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002266-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17432937
title: Content of Umma: A Literary Magazine from the University of Dar es Salaam, 1970 – 1976

description: Umma: A Literary Magazine from the University of Dar es Salaam emerged out of the former student magazine Darlite, founded in 1966 at the Department of Literature of the University of East Africa. 

The data collected in this dataset has been transcribed from physical copies of Umma housed at the Nordic Africa Institute Library in Uppsala, Sweden. Volume 6, number 1 was not included in the physical collection and the dataset is, therefore, not to be considered complete.
DOI: 10.5281/zenodo.17432938
title: Content of Umma: A Literary Magazine from the University of Dar es Salaam, 1970 – 1976

description: Umma: A Literary Magazine from the University of Dar es Salaam emerged out of the former student magazine Darlite, founded in 1966 at the Department of Literature of the University of East Africa. 

The data collected in this dataset has been transcribed from physical copies of Umma housed at the Nordic Africa Institute Library in Uppsala, Sweden. Volume 6, number 1 was not included in the physical collection and the dataset is, therefore, not to be considered complete.
DOI: 10.5519/qd.26uqxqjn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (86 records)
DOI: 10.17632/zjy2vn3jwc
title: Microplastics and their impact on marine ecosystems: a review study.

description: Introduction. Microplastics are widespread across marine ecosystems and may affect biodiversity and food safety. Evidence points to bioaccumulation, trophic transfer, and organism-level effects that warrant an integrated synthesis. Objetives: To characterise polymers and particle forms reported in marine species, identify affected organs and biological responses, and appraise implications for ecological risk and potential human exposure. Materials and Methods. A systematic search in Scopus used a PICOC-derived TITLE-ABS-KEY equation with Boolean operators OR and AND. Limits were final-stage, open-access articles published from 2020 to 2024. Screening by title and abstract preceded full-text assessment against predefined criteria, following PRISMA. The search retrieved 241 records, yielding 42 eligible studies. NOAA’s NCEI dataset on oceanic microplastic pollution for 2017 to 2024 was analysed descriptively to contextualise trends. Results. Fibres were the dominant particle form. Polyethylene, polyester, and polyethylene terephthalate were the most frequently identified polymers. The gastrointestinal tract and gills were the principal sites of accumulation. Reported effects included oxidative stress, histopathological alterations, and reduced nutrient absorption. Evidence of bioaccumulation and trophic transfer indicates plausible pathways to human exposure via seafood. Conclusions. Current literature confirms pervasive microplastic contamination, polymer and form-specific patterns, and consistent organ-level impacts in marine fauna. Methodological heterogeneity limits comparability. Standardised protocols and expanded monitoring in understudied oceans are priorities for robust risk assessment and management.
DOI: 10.17632/zjy2vn3jwc.1
title: Microplastics and their impact on marine ecosystems: a review study.

description: Introduction. Microplastics are widespread across marine ecosystems and may affect biodiversity and food safety. Evidence points to bioaccumulation, trophic transfer, and organism-level effects that warrant an integrated synthesis. Objetives: To characterise polymers and particle forms reported in marine species, identify affected organs and biological responses, and appraise implications for ecological risk and potential human exposure. Materials and Methods. A systematic search in Scopus used a PICOC-derived TITLE-ABS-KEY equation with Boolean operators OR and AND. Limits were final-stage, open-access articles published from 2020 to 2024. Screening by title and abstract preceded full-text assessment against predefined criteria, following PRISMA. The search retrieved 241 records, yielding 42 eligible studies. NOAA’s NCEI dataset on oceanic microplastic pollution for 2017 to 2024 was analysed descriptively to contextualise trends. Results. Fibres were the dominant particle form. Polyethylene, polyester, and polyethylene terephthalate were the most frequently identified polymers. The gastrointestinal tract and gills were the principal sites of accumulation. Reported effects included oxidative stress, histopathological alterations, and reduced nutrient absorption. Evidence of bioaccumulation and trophic transfer indicates plausible pathways to human exposure via seafood. Conclusions. Current literature confirms pervasive microplastic contamination, polymer and form-specific patterns, and consistent organ-level impacts in marine fauna. Methodological heterogeneity limits comparability. Standardised protocols and expanded monitoring in understudied oceans are priorities for robust risk assessment and management.
DOI: 10.60719/aphrc-2025-022
title: Examining the Complex Dynamics Influencing Persistent Acute Malnutrition in Turkana and Samburu Counties – A Longitudinal Mixed Methods Study to Support Community Driven Activity Design (WAVE III), NAWIRI

description: Acute malnutrition in infants and children less than 5 years is persistent in the arid and semi-arid lands (ASALs) of East Africa and the Sahel region despite years of investment. In the ASALs of Kenya, the situation is exacerbated by deep-rooted poverty and unequal access to basic services, sustained community conflicts, migration, poor seasonal rainfall/drought and other shocks. Nutrition specific and nutrition sensitive national and county level programs have either not been developed or not implemented effectively.

Objectives: To understand and map immediate, underlying, basic and systemic drivers of acute malnutrition for the development of overarching as well as micro-solutions for the sustainable reduction of persistent acute malnutrition (PAM) and inform pilot studies and Phase 2 (second phase of NAWIRI project implementation) activities in Turkana and Samburu Counties.

Methods: This study is a longitudinal mixed-methods observational cohort study of children less than 3 years and their mothers and/or caregivers in Samburu and Turkana Counties. Both quantitative and qualitative methods were utilized in the data collection processes. Data analysis, learning and adapting are ongoing so that results can inform pilots, theory of change (ToC) review and Phase 3 activities throughout the study.

Study outcomes: To develop new interventions, and to adapt and contextualize existing interventions to prevent global acute malnutrition (GAM); strengthen social and behavior change (SBC) strategies around maternal, infant and young child nutrition (MIYCN), water hygiene and sanitation (WASH), community health systems, gender dynamics, livelihoods and resilience, and to inform improvements of the current nutrition surveillance system.
DOI: 10.17632/s6md9t5wpm
title: Research Data Emily Et al (2025)

description: Research Data
DOI: 10.17632/s6md9t5wpm.1
title: Research Data Emily Et al (2025)

description: Research Data
DOI: 10.5281/zenodo.17452897
title: Replication package for: "Research Registries and the Credibility Crisis: An Empirical and Theoretical Investigation"

description: Abrams, Eliot, Jonathan Libgober, and John A. List (2025). “Research Registries and the Credibility Crisis: An Empirical and Theoretical Investigation.” Economic Journal, forthcoming. This replication package contains all data and code necessary to reproduce the analyses and results reported in the paper.
DOI: 10.17632/jsh23wfthj
title: GRI WD WFC

description: Primary dataset for assessing Gender Role Ideology, Workplace Discrimination, and Work–Family Conflict and their link with Women’s Organizational Commitment in the IT Industry
DOI: 10.5281/zenodo.17452898
title: Replication package for: "Research Registries and the Credibility Crisis: An Empirical and Theoretical Investigation"

description: Abrams, Eliot, Jonathan Libgober, and John A. List (2025). “Research Registries and the Credibility Crisis: An Empirical and Theoretical Investigation.” Economic Journal, forthcoming. This replication package contains all data and code necessary to reproduce the analyses and results reported in the paper.
DOI: 10.17632/jsh23wfthj.1
title: GRI WD WFC

description: Primary dataset for assessing Gender Role Ideology, Workplace Discrimination, and Work–Family Conflict and their link with Women’s Organizational Commitment in the IT Industry
DOI: 10.15468/dl.mm749a
title: Occurrence Download

description: A dataset containing 1739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Africa)",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Artportalen, Observation.org, Nature data from around the World)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia ciconia",
 "Year 2000-2000"
 ]
}

 The dataset includes 1739 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002272-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2echtf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caridina bruneiana",
 "Country is Singapore",
 "OccurrenceStatus is Present",
 "EventDate is 1800,2026"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002269-251025141854904/datasets/export for details.
DOI: 10.17632/75g52mjmpf.3
title: A Dataset of End-User Reviews from the Apple App Store for Software Evolution Research

description: This dataset provides a comprehensive collection of 159,854 end-user reviews from 84 applications across 17 distinct categories on the Apple App Store (AAS). The dataset was created to address the need for rich, contextual user feedback for research in software engineering, particularly in the areas of requirements engineering, user experience analysis, and software evolution.

The data was systematically collected using a custom Python script that leverages the `app_store_scraper` library. Each record in the dataset includes the review title, the full review text, and the user's star rating (1-5), offering a multi-faceted view of user needs, reported issues, and overall sentiment.

This resource is intended for researchers, software developers, and educators. It is particularly useful for training and validating machine learning models for natural language processing tasks, performing sentiment analysis, identifying software issues, and extracting functional and non-functional requirements. The dataset's focus on detailed, structured reviews from the AAS makes it a valuable asset for data-driven software improvement and innovation.
DOI: 10.15468/dl.vtms3c
title: Occurrence Download

description: A dataset containing 1273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Piper nigrum"
 ]
}

 The dataset includes 1273 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002270-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48436/b00xg-3vg05
title: Radio telescope dimensions for geodetic and astrometric VLBI thermal expansion modeling
title: Updated version 2025.10.26

description: Description

The dataset contains the dimensions of structural parts of radio telescopes used for geodetic and astrometric VLBI for the purpose of thermal expansion modeling in geodetic and astrometric VLBI Level-2 data analysis. New version as of 2025-10-26.

Changes



Only format corrections and deletion of duplicate entry (WIDE85_3)


Context and methodology



The dataset  belongs to publication: Axel Nothnagel (2009) Conventions on thermal expansion modelling of radio telescopes for geodetic and astrometric VLBI; Journal of Geodesy, Vol. 83(3), 787-792, DOI: 10.1007/s00190-008-0284-z, where the general concept of thermal expansion modeling is described.

The data was collected from on-site personnel who measured the dimensions of the structural parts or extracted them from construction drawings.


Technical details



The data is stored in fixed format ASCII, with the data of each telescope in a single line. The format is described in the header of the file. 

No special software is needed to read and use the data.
DOI: 10.48436/w41ms-22q67
title: Radio telescope dimensions for geodetic and astrometric VLBI thermal expansion modeling
title: Updated version 2025.10.26

description: Description

The dataset contains the dimensions of structural parts of radio telescopes used for geodetic and astrometric VLBI for the purpose of thermal expansion modeling in geodetic and astrometric VLBI Level-2 data analysis. New version as of 2025-10-26.

Changes



Only format corrections and deletion of duplicate entry (WIDE85_3)


Context and methodology



The dataset  belongs to publication: Axel Nothnagel (2009) Conventions on thermal expansion modelling of radio telescopes for geodetic and astrometric VLBI; Journal of Geodesy, Vol. 83(3), 787-792, DOI: 10.1007/s00190-008-0284-z, where the general concept of thermal expansion modeling is described.

The data was collected from on-site personnel who measured the dimensions of the structural parts or extracted them from construction drawings.


Technical details



The data is stored in fixed format ASCII, with the data of each telescope in a single line. The format is described in the header of the file. 

No special software is needed to read and use the data.
DOI: 10.17632/2vw5d73yhs
title: The ecosystem within: a systematic review and meta-analysis on the role of the microbiome on the behaviour of animals

description: Data used for a systematic review and meta-analysis about the influence of the microbiome on animal behaviour
DOI: 10.5281/zenodo.17432810
title: Transition Magazine, Uganda: 1961 – 1975

description: Transition: a Journal of the Arts, Culture & Society, was founded in Kampala, Uganda, by Rajat Neogy in November 1961. The magazine was a major venue for African intellectual and literary discussion and publication during the time of decolonization. This dataset includes data on all the content published in the magazine during its first 50 numbers from 1961 to 1975. These numbers constitute the magazines' years in which it was based in Uganda. Later volumes, published in the United States, have not been included in this dataset. 

All data was transcribed from Indiana University Press's JSTOR database of the magazine, available at https://www.jstor.org/journal/transition.
DOI: 10.5281/zenodo.17432811
title: Transition Magazine, Uganda: 1961 – 1975

description: Transition: a Journal of the Arts, Culture & Society, was founded in Kampala, Uganda, by Rajat Neogy in November 1961. The magazine was a major venue for African intellectual and literary discussion and publication during the time of decolonization. This dataset includes data on all the content published in the magazine during its first 50 numbers from 1961 to 1975. These numbers constitute the magazines' years in which it was based in Uganda. Later volumes, published in the United States, have not been included in this dataset. 

All data was transcribed from Indiana University Press's JSTOR database of the magazine, available at https://www.jstor.org/journal/transition.
DOI: 10.17632/2vw5d73yhs.1
title: The ecosystem within: a systematic review and meta-analysis on the role of the microbiome on the behaviour of animals

description: Data used for a systematic review and meta-analysis about the influence of the microbiome on animal behaviour
DOI: 10.6084/m9.figshare.28574225
title: <b>Surface Proteome of Plasma Extracellular Vesicles differentiates between SARS-CoV-2 and Influenza Infection</b>

description: This files contains the supplementary methods for the Study "<b>Surface Proteome of Plasma Extracellular Vesicles differentiates between SARS-CoV-2 and Influenza Infection</b>" by <b>Bertrams et al.</b>
DOI: 10.6084/m9.figshare.28574225.v1
title: Supplementary Methods

description: This files contains the supplementary methods for the Study "<b>Surface Proteome of Plasma Extracellular Vesicles differentiates between SARS-CoV-2 and Influenza Infection</b>" by <b>Bertrams et al.</b>
DOI: 10.6084/m9.figshare.28574225.v2
title: <b>Surface Proteome of Plasma Extracellular Vesicles differentiates between SARS-CoV-2 and Influenza Infection</b>

description: This files contains the supplementary methods for the Study "<b>Surface Proteome of Plasma Extracellular Vesicles differentiates between SARS-CoV-2 and Influenza Infection</b>" by <b>Bertrams et al.</b>