cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u2yagk
title: Occurrence Download

description: A dataset containing 11664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ara macao",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11664 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004425-260221153910048/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.30811295
title: <b>Spatial and Temporal Relationship Between Population Factors and COVID-19 Testing Rates in the City of Toronto.</b>

description: Aggregate testing and population data along with R code to replicate analysis of "Assessing the Spatial and Temporal Relationship Between Population Factors and COVID-19 Testing Rates in the City of Toronto." Shapefile for the City of Toronto can be accessed through Statistics Canada. For more questions about analysis please contact me directly at afia.amoako@mail.utoronto.ca<b>Background</b>Testing is the first indicator of disease burden and a means to identify at-risk populations. To better understand spatial variation of COVID-19 cases and their risk factors, one needs to consider testing. This study explores the spatial and temporal patterns of COVID-19 testing rates in the City of Toronto while assessing population factors that can potentially explain the varied testing rate distribution.<b>Methods</b>This study uses spatial-temporal Bayesian hierarchical models with conditional autoregressive priors to visually present the changing trends of COVID-19 testing rates over space and time while quantifying the potential relationship between socio-economic and sociodemographic characteristics and COVID-19 testing rates. This study focuses on the first four waves of COVID-19 using Forward Sortation Areas (FSAs) as the spatial unit of analysis.<b>Results</b>Across the first four waves of the COVID-19 pandemic, there was heterogeneity in relative testing rates across FSA and overtime. Quantitatively, a 10-percentage point increase in visible minorities in an FSA was associated with up to 8% decrease in relative testing rate. Other factors, such as age, sex, unemployment rate, and education attainment were also associated with relative testing rates, but with varying extents.<b>Conclusion</b>As COVID-19 remains endemic in Toronto with emerging pandemics a continuous public health concern, understanding testing heterogeneity will help inform more equitable testing strategies and stronger pandemic preparedness.<b>Data Sources</b>COVID-19 testing information: GitHub - ccodwg/CovidTimelineCanada: A definitive dataset for COVID-19 in CanadaShapefiles: 2016 Census Boundary filesCensus Information: Census Profile - Age, Sex, Type of Dwelling, Families, Households, Marital Status, Language and Income, 2016 Census - Open Government PortalCOVID-19 vaccination data: raw.githubusercontent.com/jeanpaulrsoucy/ices-vaccine-coverage-by-fsa-time-series/refs/heads/main/data/fsa_ts.csv
DOI: 10.6084/m9.figshare.30811295.v3
title: <b>Spatial and Temporal Relationship Between Population Factors and COVID-19 Testing Rates in the City of Toronto.</b>

description: Aggregate testing and population data along with R code to replicate analysis of "Assessing the Spatial and Temporal Relationship Between Population Factors and COVID-19 Testing Rates in the City of Toronto." Shapefile for the City of Toronto can be accessed through Statistics Canada. For more questions about analysis please contact me directly at afia.amoako@mail.utoronto.ca<b>Background</b>Testing is the first indicator of disease burden and a means to identify at-risk populations. To better understand spatial variation of COVID-19 cases and their risk factors, one needs to consider testing. This study explores the spatial and temporal patterns of COVID-19 testing rates in the City of Toronto while assessing population factors that can potentially explain the varied testing rate distribution.<b>Methods</b>This study uses spatial-temporal Bayesian hierarchical models with conditional autoregressive priors to visually present the changing trends of COVID-19 testing rates over space and time while quantifying the potential relationship between socio-economic and sociodemographic characteristics and COVID-19 testing rates. This study focuses on the first four waves of COVID-19 using Forward Sortation Areas (FSAs) as the spatial unit of analysis.<b>Results</b>Across the first four waves of the COVID-19 pandemic, there was heterogeneity in relative testing rates across FSA and overtime. Quantitatively, a 10-percentage point increase in visible minorities in an FSA was associated with up to 8% decrease in relative testing rate. Other factors, such as age, sex, unemployment rate, and education attainment were also associated with relative testing rates, but with varying extents.<b>Conclusion</b>As COVID-19 remains endemic in Toronto with emerging pandemics a continuous public health concern, understanding testing heterogeneity will help inform more equitable testing strategies and stronger pandemic preparedness.<b>Data Sources</b>COVID-19 testing information: GitHub - ccodwg/CovidTimelineCanada: A definitive dataset for COVID-19 in CanadaShapefiles: 2016 Census Boundary filesCensus Information: Census Profile - Age, Sex, Type of Dwelling, Families, Households, Marital Status, Language and Income, 2016 Census - Open Government PortalCOVID-19 vaccination data: raw.githubusercontent.com/jeanpaulrsoucy/ices-vaccine-coverage-by-fsa-time-series/refs/heads/main/data/fsa_ts.csv
DOI: 10.6084/m9.figshare.30811295.v2
title: <b>Spatial and Temporal Relationship Between Population Factors and COVID-19 Testing Rates in the City of Toronto.</b>

description: Aggregate testing and population data along with R code to replicate analysis of "Assessing the Spatial and Temporal Relationship Between Population Factors and COVID-19 Testing Rates in the City of Toronto." Shapefile for the City of Toronto can be accessed through Statistics Canada. For more questions about analysis please contact me directly at afia.amoako@mail.utoronto.ca<b>Background</b>Testing is the first indicator of disease burden and a means to identify at-risk populations. To better understand spatial variation of COVID-19 cases and their risk factors, one needs to consider testing. This study explores the spatial and temporal patterns of COVID-19 testing rates in the City of Toronto while assessing population factors that can potentially explain the varied testing rate distribution.<b>Methods</b>This study uses spatial-temporal Bayesian hierarchical models with conditional autoregressive priors to visually present the changing trends of COVID-19 testing rates over space and time while quantifying the potential relationship between socio-economic and sociodemographic characteristics and COVID-19 testing rates. This study focuses on the first four waves of COVID-19 using Forward Sortation Areas (FSAs) as the spatial unit of analysis.<b>Results</b>Across the first four waves of the COVID-19 pandemic, there was heterogeneity in relative testing rates across FSA and overtime. A 10% increase in the population of biological males or visible minorities residents per FSA was correlated with a 22% and 6% decrease in relative testing rates, respectively. Other factors, such as age, education attainment, and unemployment rate also influenced relative testing rates.<b>Conclusion</b>As COVID-19 remains endemic in Toronto with emerging pandemics a continuous public health concern, understanding testing heterogeneity will help inform more equitable testing strategies and stronger pandemic preparedness.
DOI: 10.15468/dl.p8j4hy
title: Occurrence Download

description: A dataset containing 31061 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)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Sardina pilchardus"
 ]
}

 The dataset includes 31061 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004426-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jbtvd
title: Occurrence Download

description: A dataset containing 412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Chile",
 "Geometry POLYGON((-72.7462 -38.79599,-72.46966 -38.79599,-72.46966 -38.63746,-72.7462 -38.63746,-72.7462 -38.79599))",
 "IucnRedListCategory is one of (VU, EN, CR)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 412 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004427-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk34av
title: Occurrence Download

description: A dataset containing 9066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ara militaris",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9066 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004428-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18306050
title: Human judgements and machine learning reveal the perceptual diversity and contextual malleability of real-life laughter and crying vocalisations - Data

description: This repository contains raw data for the manuscript (under review): "Human judgements and machine learning reveal the perceptual diversity and contextual malleability of real-life laughter and crying vocalisations"
DOI: 10.5281/zenodo.17918539
title: Human judgements and machine learning reveal the perceptual diversity and contextual malleability of real-life laughter and crying vocalisations - Data

description: This repository contains raw data for the manuscript (under review): "Human judgements and machine learning reveal the perceptual diversity and contextual malleability of real-life laughter and crying vocalisations"
DOI: 10.25345/c5ft8dz68
title: MassIVE MSV000100939 - NREP overexpressing in HT1080 cells Lipidomics study dataset
title: LC-ESI-IM-MS data (negative ionisation) from Lipidomics study of HT1080 cells: parental (control), NREP overexpressed cells. Samples were studied at 4 and 11 days after overexpression.The raw data were processed (demultiplexed, MS-calibrated, and CCS-calibrated) but were not converted.
DOI: 10.5066/p13hvkdw
title: Experimental Data from an Examination of the Interaction of Grass Carp Eggs and Larvae with a Longitudinally Oriented Bubble Screen in a Laboratory Flume

description: Behavioral deterrents targeting mature fish have been developed to control population expansion of invasive carp in non-native regions. However, there are currently no methods to control dispersal of early-life stage carp, which have no/limited mobility during their vulnerable, multi-day drift period in rivers. Capturing eggs and larvae in large numbers downstream from known spawning grounds warrants new methods that rely upon physics rather than behavioral response. This project tested a novel method using a longitudinally (streamwise) oriented bubble screen to redirect downstream drifting grass carp (Ctenopharyngodon idella) eggs and larvae into cross-channel-oriented nets along the sides of the channel for efficient removal in a laboratory setting. The effects of flow velocity and airflow rate on redirection of live grass carp eggs, pre- and post-gas bladder inflation (GBI) stage larvae, dead larvae, and dead (preserved) eggs were examined. A detailed hydrodynamic characterization of the bubble screen and surrounding flow was also completed. This data release contains hydrodynamic and egg and larval redirection data associated with the 2024 experiments examining the interaction of grass carp eggs and larvae with a longitudinally oriented bubble screen in a recirculating laboratory flume. A detailed description of the data contained in this data release can be found in the associated metadata.
DOI: 10.71929/rubin/3020138
title: Vera C. Rubin Observatory Prompt Products

description: Data products produced by prompt and daily processing of images obtained in the Legacy Survey of Space and Time. These include realtime alerts sent to community alert brokers, newly-discovered Solar System Objects reported to the Minor Planet Center, processed visit and difference images, and source catalogs. Prompt Products are not a static single data release but continually grow throughout the ten-year LSST survey.
DOI: 10.15468/dl.ynmfh9
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eviota susanae"
 ]
}

 The dataset includes 68 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004433-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71929/rubin/3020139
title: Vera C. Rubin Observatory Prompt Products: alert packets data

description: Data products produced by prompt and daily processing of images obtained in the Legacy Survey of Space and Time. These include realtime alerts sent to community alert brokers, newly-discovered Solar System Objects reported to the Minor Planet Center, processed visit and difference images, and source catalogs. Prompt Products are not a static single data release but continually grow throughout the ten-year LSST survey. This dataset is a subset of the full data release consisting of a dataset named alert packets. This dataset contains measurements for 5-sigma sources detected in difference images that were issued to the community brokers.
DOI: 10.15468/dl.qwgdca
title: Occurrence Download

description: A dataset containing 4581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes lagopus"
 ]
}

 The dataset includes 4581 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004431-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpawnf
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "TaxonKey is Caroxylon genistoides"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004430-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jr54a
title: Occurrence Download

description: A dataset containing 1241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aragoa abietina",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1241 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004434-260221153910048/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/14936027
title: Indonesian Hoax News Dataset
DOI: 10.7910/dvn/tcrvdz
title: Making a Career in Dictatorship: The Secret Logic behind Repression and Coups

description: Who loyally carries out the most brutal violence for a dictator? And who overthrows the very leader they swore to protect? Like no other work before it, Making a Career in Dictatorship dives deep into the authoritarian security apparatus to identify which officers participate in repression or coups—and above all, why.

The book's compelling theory uncovers career pressure as the secret driver behind the two most notorious phenomena of authoritarian power politics. Officers disadvantaged in their professional advancement either try to demonstrate their loyalty to the current regime by participating in repression, or to commend themselves to a successor regime by participating in a coup.

The book offers a wealth of unprecedented evidence in support of its unified theory. Based on unique career data on thousands of Argentine army officers, in-depth case studies on Hitler's Germany, Stalin's Soviet Union, and Jawara's Gambia, and a global analysis of authoritarian regimes since 1945, a striking pattern emerges: career pressure fuels extreme behavior. By revealing for the first time the organizational structure, promotion systems, and career paths within the authoritarian security apparatus, the book shows how seemingly banal career concerns shape the bottom-up dynamics of regime survival and collapse. In times of rising authoritarianism, this book offers key insights into how states and societies fall victim to illiberal leaders and their willing enforcers.
description: Replication material will be added in October 2026
DOI: 10.15468/dl.r74rr7
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Aztecanthidium tenochtitlanicum"
 ]
}

 The dataset includes 37 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004435-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/yh648g
title: Typification of two names in the genera Euonymus L. and Glyptopetalum Thwaites and the correct taxonomic position of Hippocratea angulata Griff. (Celastraceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mondal, Ajay, Savinov, I. A., Murugan, C., Rajkumar, S. D. (2026): Typification of two names in the genera Euonymus L. and Glyptopetalum Thwaites and the correct taxonomic position of Hippocratea angulata Griff. (Celastraceae). Adansonia (3) 48 (3): 13-20, DOI: 10.5252/adansonia2026v48a3ABSTRACTLectotypes are designated for two names, viz., Euonymus wrayi King and Glyptopetalum grandiflorum Beddome following the Madrid Code, based on a thorough consultation of the protologue, original material, and relevant literature. Additionally, notes on the correct taxonomic position of Hippocratea angulata Griff. are provided herein.
DOI: 10.17632/4gtjy8833s
title: Translation and psychometric evaluation of the Bengali version of the 10-item Repetitive Thinking Questionnaire (RTQ-10)

description: This study translated, culturally adapted, and psychometrically validated the Bengali version of the 10-item Repetitive Thinking Questionnaire (RTQ-10) in a large outpatient sample (N = 947). Following a rigorous cross-cultural adaptation process including forward–back translation, expert review, cognitive debriefing, face validation, and pilot testing, the finalized scale demonstrated a strong unidimensional structure, with Exploratory Factor Analysis explaining 75.6% of the variance and Confirmatory Factor Analysis showing excellent model fit (CFI = 0.982; RMSEA = 0.055). Confirmatory Tetrad Analysis supported a reflective measurement model, and Rasch modeling confirmed unidimensionality and stable item functioning. The instrument showed excellent internal consistency (α = 0.963; ω = 0.963; split-half = 0.970) and outstanding diagnostic accuracy (AUC = 0.984), with an optimal cut-off score &gt;25.5 yielding high sensitivity (96.2%) and specificity (94.1%). Overall, the Bengali RTQ-10 is a reliable, valid, and diagnostically robust tool for assessing repetitive negative thinking in Bengali-speaking populations.
DOI: 10.17632/4gtjy8833s.1
title: Translation and psychometric evaluation of the Bengali version of the 10-item Repetitive Thinking Questionnaire (RTQ-10)

description: This study translated, culturally adapted, and psychometrically validated the Bengali version of the 10-item Repetitive Thinking Questionnaire (RTQ-10) in a large outpatient sample (N = 947). Following a rigorous cross-cultural adaptation process including forward–back translation, expert review, cognitive debriefing, face validation, and pilot testing, the finalized scale demonstrated a strong unidimensional structure, with Exploratory Factor Analysis explaining 75.6% of the variance and Confirmatory Factor Analysis showing excellent model fit (CFI = 0.982; RMSEA = 0.055). Confirmatory Tetrad Analysis supported a reflective measurement model, and Rasch modeling confirmed unidimensionality and stable item functioning. The instrument showed excellent internal consistency (α = 0.963; ω = 0.963; split-half = 0.970) and outstanding diagnostic accuracy (AUC = 0.984), with an optimal cut-off score &gt;25.5 yielding high sensitivity (96.2%) and specificity (94.1%). Overall, the Bengali RTQ-10 is a reliable, valid, and diagnostically robust tool for assessing repetitive negative thinking in Bengali-speaking populations.
DOI: 10.17632/5s69nfwr58
title: Replication code for How ESG Promotes Corporate Low-Carbon Transformation: Evidence from China

description: The following folder contains the ReadMe file and the code file needed to run the code and replicate the results of our work entitled "How ESG Promotes Corporate Low-Carbon Transformation: Evidence from China".
DOI: 10.17632/5s69nfwr58.3
title: Replication code for How ESG Promotes Corporate Low-Carbon Transformation: Evidence from China

description: The following folder contains the ReadMe file and the code file needed to run the code and replicate the results of our work entitled "How ESG Promotes Corporate Low-Carbon Transformation: Evidence from China".
DOI: 10.17632/3zp9zxpfkg
title: Autophagy Targeting by Astaxanthin in PCOS

description: Dataset Description

This dataset was generated from a pilot, randomized, triple-blind, placebo-controlled clinical trial conducted at Omid Fertility Center (Tehran, Iran) between November 2023 and September 2024. The study investigated the effects of astaxanthin (AST) supplementation on clinical and molecular outcomes in women with polycystic ovary syndrome (PCOS) undergoing assisted reproductive technology (ART).

Research hypothesis: We hypothesized that AST supplementation would improve oocyte maturity and embryo quality in women with PCOS, potentially through modulation of the AMPK–autophagy–apoptosis signaling pathway in granulosa cells.

What the data shows: The dataset includes de-identified participant-level data on baseline characteristics (e.g., age, BMI, infertility history), controlled ovarian stimulation (COS) parameters, oocyte and embryo outcomes, and pregnancy outcomes. Data were collected prospectively during the trial and recorded in structured case report forms before being entered into Excel for analysis.

How the data can be interpreted and used: The dataset provides insights into the potential role of AST as an adjuvant in ART protocols for PCOS. Researchers may use these data to:

 Reproduce or validate the reported analyses.
 Conduct secondary analyses.
 Integrate findings into systematic reviews or meta-analyses.

All data are fully de-identified. A data dictionary is provided to explain variable names and coding.