cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/upagwn
title: Zimbabwe (2009): Maternal and Child Health TRaC Study Evaluating Malaria Prevention Behavior among Adults in Malaria Endemic Areas of Zimbabwe. Round One

description: Specifically, this survey investigates baseline levels in mosquito net ownership and use and malaria treatment with ACT drugs behaviors as well as monitoring indicators of opportunity, ability, and motivation in all malarial areas of Zimbabwe. In addition, the study assesses impact of PSI Zimbabwe's social marketing instruments. Findings on malaria treatment will be reported separately. The study utilized a two stage cluster design. In the first stage, enumeration areas (EAs) were randomly selected using probability proportionate to size. EAs are geographic areas used for sampling purposes. In the second stage, households within the selected EAs were selected using simple random sampling. In households where more than one eligible respondent was available, a respondent was randomly selected using the Kish grid method. If there were no people at a selected household, two callbacks were done before substitution with the adjacent household. At least three callbacks were done before substituting the selected person in selected household. Substitution was also done when the initially selected respondent refused to be interviewed. A sample size of 1,509 interviews were conducted in the malaria endemic areas. Analysis was performed using SPSS version 16.0 and results presented in PSI Dashboard format. Comparison was made between PSI program areas vers
us non-program areas, all in malarial areas, using UNIANOVA controlling for socio-demographic characteristics and geographic location. The segmentation models were based on binary logistic regression in which explanatory variables were dropped if found not to significantly contribute to explanation of the variance. Adjusted means or proportions were presented for explanatory variables which remained in the final logistic regression model, adjusting for significant explanatory variables in the model as well as the design variable (Enumeration Area).
DOI: 10.17632/mn5s748pyt
title: Municipal-Level Data on Deforestation, Prosecutions, and Socioeconomic Indicators in Colombia (2021–2023)

description: his dataset supports the study "Towards Green Prosecution? Analyzing the Efficacy of a Tough-on-Crime Approach on the Prevention of Deforestation in Colombia." It includes municipal-level data from 2021 to 2023 for all municipalities in Colombia and was used to test whether arrests and prosecutions effectively deter deforestation. The dataset contains tree cover loss data from Global Forest Watch, legal enforcement data (arrests and prosecutions) from the Colombian Attorney General’s Office, and multiple control variables. Socio-economic variables such as Population Density and the Unmet Basic Needs Index (NBI) were obtained from DANE. Coca presence was derived from cultivation and eradication data provided by the Ministries of Justice and Defense. The presence of armed groups was coded as a dummy variable based on reports from Fundación Ideas para la Paz and La Silla Vacía. Agricultural area and cattle counts were obtained from the Ministry of Agriculture, while illegal mining cases were reported by the Attorney General’s Office. Alluvial gold mining (AGM) data came from the Ministry of Mines and Energy. A spatial lag variable was included to account for tree cover loss in neighboring municipalities. All variables are contained in a single Excel sheet and were cleaned and transformed (log or dummy) when necessary to address skewness, outliers, and interpretability. The data allows replication of the study’s Negative Binomial Regression model and supports further research on deforestation, environmental enforcement, and prosecutorial strategies in Latin America.
DOI: 10.17632/mn5s748pyt.1
title: Municipal-Level Data on Deforestation, Prosecutions, and Socioeconomic Indicators in Colombia (2021–2023)

description: his dataset supports the study "Towards Green Prosecution? Analyzing the Efficacy of a Tough-on-Crime Approach on the Prevention of Deforestation in Colombia." It includes municipal-level data from 2021 to 2023 for all municipalities in Colombia and was used to test whether arrests and prosecutions effectively deter deforestation. The dataset contains tree cover loss data from Global Forest Watch, legal enforcement data (arrests and prosecutions) from the Colombian Attorney General’s Office, and multiple control variables. Socio-economic variables such as Population Density and the Unmet Basic Needs Index (NBI) were obtained from DANE. Coca presence was derived from cultivation and eradication data provided by the Ministries of Justice and Defense. The presence of armed groups was coded as a dummy variable based on reports from Fundación Ideas para la Paz and La Silla Vacía. Agricultural area and cattle counts were obtained from the Ministry of Agriculture, while illegal mining cases were reported by the Attorney General’s Office. Alluvial gold mining (AGM) data came from the Ministry of Mines and Energy. A spatial lag variable was included to account for tree cover loss in neighboring municipalities. All variables are contained in a single Excel sheet and were cleaned and transformed (log or dummy) when necessary to address skewness, outliers, and interpretability. The data allows replication of the study’s Negative Binomial Regression model and supports further research on deforestation, environmental enforcement, and prosecutorial strategies in Latin America.
DOI: 10.7910/dvn/9z6ckw
title: Milano Weather Station‎ Data

description: The dataset describes various meteorological phenomena type and intensity of Milan city using sensors located within the city limits.
DOI: 10.17632/vgch54bf6d
title: Electron Microscopy Data on Irradiation Effects in Glassy Carbon, Nuclear Graphite, Pyrolytic Carbon, and Carbon Fibers

description: Raw images are provided in .tif format and consist of transmission electron microscopy micrographs. The image folders are labeled according to their corresponding figure in the article: Electron Microscopy Data on Irradiation Effects in Glassy Carbon, Nuclear Graphite, Pyrolytic Carbon, and Carbon Fibers
DOI: 10.17632/vgch54bf6d.1
title: Electron Microscopy Data on Irradiation Effects in Glassy Carbon, Nuclear Graphite, Pyrolytic Carbon, and Carbon Fibers

description: Raw images are provided in .tif format and consist of transmission electron microscopy micrographs. The image folders are labeled according to their corresponding figure in the article: Electron Microscopy Data on Irradiation Effects in Glassy Carbon, Nuclear Graphite, Pyrolytic Carbon, and Carbon Fibers
DOI: 10.17632/3dhymjr272.1
title: Targeted bile acid metabolomics

description: Targeted bile acid metabolomics measured major mice bile acids with their respective glycine and taurine conjugates.
DOI: 10.17632/d2txz5r4x9.1
title: When will voters re-elect populists? Lessons from COVID-19 in Brazil

description: The data and code here will help to replicate the results in the paper. 

Abstract: COVID-19 preceded electoral upsets in many countries, but did it cause them? Using both OLS and instrumental variable methods on granular electoral data we find that, in the case of Brazil, (i) both COVID-19 mortality and underlying cases played a significant role in reducing the incumbent candidate’s votes, and (ii) the effect was stronger in more closely contested municipalities. However, COVID-19 lost its relative importance at higher levels of contestability to factors such as municipal-level economic growth, electoral mobilisation, inequality, as well as education and employment structure. As a result, while a typical voter at the national level may have been more interested in the healthcare costs of the COVID-19 pandemic, their electoral focus shifted to the economy in more closely contested municipalities. This is a novel result on the electability of incumbent populists, informing changing perceptions of political competence at varying levels of contestability. This result helps explain re-election strategies of incumbent populists who tend to downplay failures in managing the COVID-19 healthcare crisis and emphasise the state of the economy. Our results imply that populists can indeed boost their re-election chances if they exploit this political trade-off.
DOI: 10.17632/d2txz5r4x9.2
title: When will voters re-elect populists? Lessons from COVID-19 in Brazil (Supplementary material)

description: The data and code here will help to replicate the results in the paper. 

Abstract: COVID-19 preceded electoral upsets in many countries, but did it cause them? Using both OLS and instrumental variable methods on granular electoral data we find that, in the case of Brazil, (i) both COVID-19 mortality and underlying cases played a significant role in reducing the incumbent candidate’s votes, and (ii) the effect was stronger in more closely contested municipalities. However, COVID-19 lost its relative importance at higher levels of contestability to factors such as municipal-level economic growth, electoral mobilisation, inequality, as well as education and employment structure. As a result, while a typical voter at the national level may have been more interested in the healthcare costs of the COVID-19 pandemic, their electoral focus shifted to the economy in more closely contested municipalities. This is a novel result on the electability of incumbent populists, informing changing perceptions of political competence at varying levels of contestability. This result helps explain re-election strategies of incumbent populists who tend to downplay failures in managing the COVID-19 healthcare crisis and emphasise the state of the economy. Our results imply that populists can indeed boost their re-election chances if they exploit this political trade-off.
DOI: 10.17632/d2txz5r4x9.3
title: When will voters re-elect populists? Lessons from COVID-19 in Brazil (Supplementary material)

description: The data and code here will help to replicate the results in the paper. 

Abstract: COVID-19 preceded electoral upsets in many countries, but did it cause them? Using both OLS and instrumental variable methods on granular electoral data we find that, in the case of Brazil, (i) both COVID-19 mortality and underlying cases played a significant role in reducing the incumbent candidate’s votes, and (ii) the effect was stronger in more closely contested municipalities. However, COVID-19 lost its relative importance at higher levels of contestability to factors such as municipal-level economic growth, electoral mobilisation, inequality, as well as education and employment structure. As a result, while a typical voter at the national level may have been more interested in the healthcare costs of the COVID-19 pandemic, their electoral focus shifted to the economy in more closely contested municipalities. This is a novel result on the electability of incumbent populists, informing changing perceptions of political competence at varying levels of contestability. This result helps explain re-election strategies of incumbent populists who tend to downplay failures in managing the COVID-19 healthcare crisis and emphasise the state of the economy. Our results imply that populists can indeed boost their re-election chances if they exploit this political trade-off.
DOI: 10.17632/d2txz5r4x9
title: When will voters re-elect populists? Lessons from COVID-19 in Brazil (Supplementary material)

description: The data and code here will help to replicate the results in the paper. 

Abstract: COVID-19 preceded electoral upsets in many countries, but did it cause them? Using both OLS and instrumental variable methods on granular electoral data we find that, in the case of Brazil, (i) both COVID-19 mortality and underlying cases played a significant role in reducing the incumbent candidate’s votes; (ii) the absolute COVID-19 electoral penalty was stronger in more closely competitive municipalities; iii) COVID-19 lost its relative importance in more competitive municipalities to factors such as economic growth, electoral mobilisation, inequality, as well as education and employment structure. As a result, while a typical voter at the national level may have been more interested in the healthcare costs of the COVID-19 pandemic, their electoral focus shifted to the economy in more competitive municipalities. This is a novel result on the electability of incumbent populists, implying changing perceptions of political competence when elections become more competitive. This result helps explain re-election strategies of incumbent populists who tend to downplay failures in managing the COVID-19 healthcare crisis and emphasise the state of the economy. Our results imply that populists can indeed boost their re-election chances if they exploit this political trade-off.
DOI: 10.17632/d2txz5r4x9.4
title: When will voters re-elect populists? Lessons from COVID-19 in Brazil (Supplementary material)

description: The data and code here will help to replicate the results in the paper. 

Abstract: COVID-19 preceded electoral upsets in many countries, but did it cause them? Using both OLS and instrumental variable methods on granular electoral data we find that, in the case of Brazil, (i) both COVID-19 mortality and underlying cases played a significant role in reducing the incumbent candidate’s votes; (ii) the absolute COVID-19 electoral penalty was stronger in more closely competitive municipalities; iii) COVID-19 lost its relative importance in more competitive municipalities to factors such as economic growth, electoral mobilisation, inequality, as well as education and employment structure. As a result, while a typical voter at the national level may have been more interested in the healthcare costs of the COVID-19 pandemic, their electoral focus shifted to the economy in more competitive municipalities. This is a novel result on the electability of incumbent populists, implying changing perceptions of political competence when elections become more competitive. This result helps explain re-election strategies of incumbent populists who tend to downplay failures in managing the COVID-19 healthcare crisis and emphasise the state of the economy. Our results imply that populists can indeed boost their re-election chances if they exploit this political trade-off.
DOI: 10.17632/x7z3xvbs2c
title: GCA Hydrothermal Alteration 2025 1/2

description: Data for "The link between seawater magnesium concentrations and anhydrite formation in the ocean crust" submitted to GCA 2025.
DOI: 10.17632/x7z3xvbs2c.1
title: GCA Hydrothermal Alteration 2025 1/2

description: Data for "The link between seawater magnesium concentrations and anhydrite formation in the ocean crust" submitted to GCA 2025.
DOI: 10.7910/dvn/9zgjee
title: WWS23

description: This report describes the results of a nationwide survey of Spanish speakers on tropical cyclones in the United States. The 2023 Winter Weather Spanish Survey (WWS23) was designed and administered by the Institute for Public Policy Research and Analysis (IPPRA) at the University of Oklahoma. While it is the first time the survey has been translated into Spanish, an English-language version of the survey has been fielded annually for the last three years (see Krocak et al. 2021, Bitterman et al. 2022, and Bitterman et al. 2023 for more information on the 2021 Winter Weather Survey (WW21), WW22, and WW23 surveys, respectively). It was fielded from November 1 - December 20, 2023, using an online questionnaire that was completed by 370 U.S. adults (age 18+) who self-reported that they speak Spanish at least “well” and were recruited from an Internet panel that matches the characteristics of the U.S. Spanish speaking population as estimated in the U.S. Census. The WW21 survey was designed to establish baseline measures of the extent to which U.S. adults receive, understand, and respond to winter weather forecasts and warnings. The survey also measured public trust in the National Weather Service (NWS), extreme weather and climate risk perceptions, risk literacy, interpretations of probabilistic language, and winter weather preparedness. In the WW22 survey, those baseline questions were refined, and respondents’ threshold for winter weather events, the perceived impact of winter weather on their location and daily life and their perceptions of the amount of snow that will fall given certain forecast messaging are all tested. The WW23 survey continued to test these measures, while adding questions addressing how prebunk messaging impacts the ability of members of the public to identify low- vs. high-quality forecast information. This survey, WWS23, is the first Spanish-language iteration of the survey and most closely resembled WW21 to establish a baseline of how adult Spanish speakers receive, understand, and respond to winter weather forecasts and warnings. This report briefly describes the methodology, survey data collection, data weighting, and a reproduction of the survey instrument with weighted means and frequencies for the questions that elicited numeric responses.
DOI: 10.17632/mr5ksw484n
title: GCA Hydrothermal Alteration 2025 2/2

description: Data for "The link between seawater magnesium concentrations and anhydrite formation in the ocean crust" submitted to GCA 2025.
DOI: 10.17632/mr5ksw484n.1
title: GCA Hydrothermal Alteration 2025 2/2

description: Data for "The link between seawater magnesium concentrations and anhydrite formation in the ocean crust" submitted to GCA 2025.
DOI: 10.17632/hcmyk3k9hz
title: Raw data from the research: Collagen-based biomaterials obtained from the benign solvent - a new type of scaffolds for in vitro cell cultures

description: The aim of this study was to fabricate collagen-based scaffolds that would be suitable as substrates for in vitro cell cultures. Collagen type I was used as biopolymer. Solvent based on DMSO/PBS was used. Glycerol and surface-functionalized multi-walled carbon nanotubes were used as modifiers. Materials were obtained in a form of hydrogel foils. Evaluation of morphology, cytotoxicity, as well as physicochemical properties was conducted.
DOI: 10.17632/hcmyk3k9hz.1
title: Raw data from the research: Collagen-based biomaterials obtained from the benign solvent - a new type of scaffolds for in vitro cell cultures

description: The aim of this study was to fabricate collagen-based scaffolds that would be suitable as substrates for in vitro cell cultures. Collagen type I was used as biopolymer. Solvent based on DMSO/PBS was used. Glycerol and surface-functionalized multi-walled carbon nanotubes were used as modifiers. Materials were obtained in a form of hydrogel foils. Evaluation of morphology, cytotoxicity, as well as physicochemical properties was conducted.
DOI: 10.7910/dvn/a1xcnv
title: Replication Data for: 'Search Frictions and Efficiency in Decentralized Transport Markets'

description: The programs replicate tables and figures from "Search Frictions and Efficiency in Decentralized Transport Markets", by Brancaccio, Kalouptsidi, Papageorgiou, and Rosaia. Please see the Readme file for additional details.
description: MATLAB, null
DOI: 10.35111/6e65-sr28
title: Call My Net 1

description: <h3>Introduction</h3>
<p>Call My Net 1 was developed by the Linguistic Data Consortium and contains 364 hours of conversational telephone speech in four languages (Tagalog, Cebuano, Cantonese and Mandarin) collected in 2015 from 221 native speakers located in the Philippines and China along with metadata and speaker demographic information. Recordings and data from this collection were used to support the <a href="https://www.nist.gov/itl/iad/mig/speaker-recognition-evaluation-2016">NIST 2016 Speaker Recognition Evaluation</a>.</p>
<h3>Data</h3>
<p>Speakers were recruited to make 10 telephone calls each to people within their existing social networks, using different handsets and under a variety of noise conditions. Speakers were connected through a robot operator to carry on casual conversations on topics of their choice.</p>
<p>All recordings were manually audited to confirm language and speaker requirements. The documentation for this release includes metadata about phone type, noise conditions and call quality. Speaker demographic information on year of birth, sex and native language is also included.</p>
<p>This corpus contains 2472 telephone recordings. Audio files are presented as 2-channel, 16-bit, 8 kHz, PCM FLAC.</p>
<p>Metadata and demographic information are presented in tab-delimited files.</p>
DOI: 10.17632/n9k5gwbhyv.1
title: Bootstrap resampling for confidence intervals in syphilis IHC
DOI: 10.7910/dvn/rcmm6e
title: Replication data for: Ideological Mapping of American Legislatures

description: The development and elaboration of the spatial theory of voting has contributed greatly to the study of legislative decision making and elections. Statistical models that estimate the spatial locations of individual legislators have been a key contributor to this success (Poole and Rosenthal 1997, Clinton et al 2004). In addition to applications to the U.S. Congress, spatial models have been estimated for the Supreme Court, U.S. presidents, a large number of non-U.S. legislatures, and supranational organizations. But, unfortunately, a potentially fruitful laboratory for testing spatial theories of policymaking and elections, the American states, has remained relatively unexploited. Two problems have limited the empirical application of spatial theory to the states. The first is that state legislative roll call data has not yet been systematically collected for all states over time. Second, because ideal point models are based on latent scales, comparisons of ideal points across states or even chambers within a state are difficult. This paper reports substantial progress on both fronts. First, we have obtained the roll call voting data for all state legislatures from the mid-1990s onward. Second, we exploit a recurring survey of state legislative candidates to enable comparisons across time, chambers, and states as well as with the U.S. Congress. The resulting mapping of America's state legislatures has tremendous potential to address numerous questions not only about state politics and policymaking, but legislative politics in general.
DOI: 10.7910/dvn/uuss6r
title: Supporting data for "Atomic manipulation of the gap in Bi2Sr2CaCu2O8+x" by F. Massee et al.

description: Supporting data for "Atomic manipulation of the gap in Bi2Sr2CaCu2O8+x" by F. Massee et al.
DOI: 10.15468/dl.ygu42e
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bauhinia funchiana Vaz & G.P.Lewis"
 ]
}

 The dataset includes 22 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018072-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15585953
title: Data for de la Barrera Cardozo et al. Triatominae

description: Dated phylogenetic trees of Triatomiinae including all taxa from Kieran et al. (2021) or only taxa used in biogeography analyses.