cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/rmb3gl
title: Willingness to Pay for Quality of Maize and Beans Using Experimental Auctions in Tanzania

description: The main aim of the survey and experiment were to elicit consumer willingness to pay (WTP) for different quality grades of maize and beans. The data includes demographic information about the households (e.g., age, and sex), socioeconomics (crop income, household income, value of production and food security) and farm characteristics (e.g., farm size ). The experimental auctions were conducted using the Becker-DeGroot-Marschak method to elicit WTP for the different quality of maize and beans.
description: Household- and Community-level Surveys
description: STATA, 16
DOI: 10.7910/dvn/v3kgdz
title: Deep features for skin detection and segmentation

description: This package contains the deep features extracted from the HGR (http://sun.aei.polsl.pl/~mkawulok/gestures/index.html) and ECU databases presenting hand gestures and human skin in color images, respectively. Additionally, a script (read_binary_file.py) that can be conveniently used for reading these features from the binary files is included in the package. The binary files with deep features are saved in the following form: N_features (4 bytes integer), N_labels (4 bytes integer), H (4 bytes integer), W (4 bytes integer), with H and W being the height and width of an input image. Then, there are H * W rows with N_features * feature_size (4 bytes float), and a label of a size label_size (4 bytes float) - each row represents a single pixel from an input image with the corresponding class label (the 0 label denotes the background, whereas 1 denotes skin). To extract features, we utilized a U-Net model trained in two different ways. In the Full variant, we train the model over the training data extracted from the ECU database presenting human skin color images, whereas in the TF variant, we exploit a model pre-trained for abnormality segmentation on a dataset of brain MRI volumes (kaggle.com/mateuszbuda/lgg-mri-segmentation) and available at https://pytorch.org/hub/mateuszbuda_brain-segmentation-pytorch_unet/, and fine tune it over the same training sample as in the Full variant. We dump the features extracted in the final convolutional layer of the model. The input images were rescaled with preserving the aspect ratio to 512x512 to match the original architecture (the background pixels are zeroed), and standardized using the mean and standard deviation of the original training dataset. Overall, we have 898 files containing the feature vectors extracted for all pixels in 898 HGR images (separately for color and grayscale variants, and separately for Full and TF), and 3998 files containing the feature vectors extracted for all pixels in 3998 ECU images (separately for color and grayscale variants, and separately for Full and TF). Important note: Due to the large size of the deep features, we include only a *sample* of deep features extracted for the HGR and ECU datasets here. To access full datasets, please contact Jakub Nalepa or Michal Kawulok.
DOI: 10.7910/dvn/xchmse
title: SMS-116615 - Research on wireless monitoring system and algorithm for preload force utilizing machine learning and electromechanical impedance

description: Documents produced when reviewing the research work "Research on wireless monitoring system and algorithm for preload force utilizing machine learning and electromechanical impedance". Data repository provided by the authors: https://github.com/Awu-SEU/EMI-Data (2024-06-10)
DOI: 10.7910/dvn/yfhmu3
title: Churches North and South 2014 Congregational Study

description: Stata dataset and codebook for the Churches North and South 2014 Congregational/Community Study, as described in the book Religion and Brazilian Democracy: Mobilizing the People of God, by Amy Erica Smith (2019, Cambridge University Press).
DOI: 10.7910/dvn/yg9cmf
title: Reproduction files for: The globalisation divide in the public mind: Belief systems on globalisation and their electoral consequences

description: Code to reproduce all findings reported in the paper. Data are publicly available for download; see instructions in "readme.txt".
DOI: 10.7910/dvn/4gaild
title: Replication Data for: Subject to Change: Quantifying Transformation in Armed Conflict Actors At Scale Using Text

description: An extensive theoretical and practitioner literature addresses the drivers and consequences of change and transformation of violent rebel actors during conflicts. However, measurement challenges constrain large-N empirical study of the effects and consequences of such transformations. This Research Note introduces a strategy to identify periods of transformation and change in the operation of non-state armed militant groups via computational text analysis of trends in reporting on activities. It presents the measurement approach and demonstrates scalability to a corpus of more than 200 militant groups operating from 1989 to 2020. The study concludes by extending a recent analysis of the impacts of uncertainty on conflict termination. An online appendix demonstrates the advantages and drawbacks of the measurement through a series of case studies.
description: Associated Github Repsitory: https://github.com/margaretfoster/SubjectToChange
DOI: 10.7910/dvn/8zoocy
title: Nosek, Bar-Anan, Sriram & Greenwald (2012): Understanding and Using the Brief Implicit Association Test: I. Recommended Scoring Procedures

description: Sriram and Greenwald (2009) introduced a Brief version of the Implicit Association Test (BIAT). The present research identified analytical best practices for overall psychometric performance of the BIAT. In 7 studies and multiple replications, we investigated analytic practices with several evaluation criteria: sensitivity to detecting known effects and group differences, internal consistency, relations with implicit measures of the same topic, relations with explicit measures of the same topic and other criterion variables, and resistance to an extraneous influence of average response time. Two data transformation algorithms, G and D, outperformed other approaches. We conclude with recommended analytic practices for standard use of the BIAT.
DOI: 10.7910/dvn/rl0htj
title: Replication data for: Event Dependence and Heterogeneity in Duration Models: The Conditional Frailty Model

description: We introduce the conditional frailty model, an event history model that separates and accounts for both event dependence and heterogeneity in repeated events processes. Event dependence and heterogeneity create within-subject correlation in event times thereby violating the assumptions of standard event history models. Simulations show the advantage of the conditional frailty model. Specifically they demonstrate the model's ability to disentangle the sources of within-subject correlation as well as the gains in both efficiency and bias of the model when compared to the widely used alternatives, which often produce conflicting conclusions. Two substantive political science problems illustrate the usefulness and interpretation of the model: state policy adoption and terrorist attacks.
DOI: 10.7910/dvn/rlr80k
title: Replication Data for: Presidential Partisanship and Regulatory Review

description: These files contain the code and data necessary to replicate the Tables and Figure in "Presidential Partisanship and Regulatory Review"
DOI: 10.7910/dvn/ygpbev
title: Human capital and supply chain competitive drivers on firm performance in a developing country

description: The dataset contains the relevant data for the article: "An investigation of the impact of human capital and supply chain competitive drivers on firm performance in a developing country"
DOI: 10.7910/dvn/4hvmvq
title: Executive Agreements Database, Statement Regarding Tax Reimbursement Agreement Between The United States of America and The Customs Co-Operation Council.

description: TIAS 11711

First signed N/A
Last signed 01/26/1990
Entry in force (supplemented by last signed) 01/26/1990


C06545018

cover memo
DOI: 10.7910/dvn/8nvrl0
title: Understanding the Changing Geography of Labour-Intensive Industries from a GPN Perspective: Case Study of the Hungarian Leather and Footwear Sector

description: Labour-intensive industries have declined in the East Central European economy after the beginning of the millennium. Given this deterioration, significant employers are vanishing from rural areas, leaving behind serious employment problems in regions which are less capable of resilient restructuring. This article examines this shrinkage from a geographical aspect in the context of the Hungarian leather and footwear industry. This study focuses on the interpretation and explanation of the spatial differentiation that accompanies this shrinking process. The aim of this paper is to reveal the influencing factors that stand in the background of spatially uneven development. The analysis 
– embedded in the theoretical framework of global production networks – is based on the corporate database of the Hungarian Central Statistical Office and invokes the experience of interviews carried out with representatives of industrial actors as well. In addition to an understanding of spatial processes, the intention of the authors was to investigate the issues to be addressed in certain locations and under what conditions the long-standing industrial culture related to the sector can be preserved.
DOI: 10.7910/dvn/cxxyuu
title: HAALSI Baseline HIV Biomarker Data

description: For the Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) baseline survey, HIV biomarkers were collected during the home survey through dried blood spots (DBS). DBS were tested for HIV, HIV viral load, and presence of antiretroviral drugs (emtricitabine and lamivudine, which are used in all standard first and second-line HIV regimens in South Africa). CD4 tests were performed on venous blood among the sub-sample of participants who visited the laboratory.

* The HIV screening and confirmatory enzyme-linked immunosorbent assays used were the Vironostika HIV 1/2 Ag/Ab MicroELISA System (BioMérieux, Marcy-l’Étoile, France) and the Roche Cobas E411 Combi Ag, respectively. 
* The viral load platform was BioMérieux NucliSens with a lower limit of detection of 100 copies by DBS.
* Testing for exposure to either emtricitabine (FTC) or lamivudine (3TC) was performed at the Pharmacokinetic Laboratory at the University of Cape Town in South Africa. A semiquantitative LC/MS/MS assay with a lower limit of detection of 0.02 mg/mL was validated for the determination of 3TC and FTC from DBS. The method consisted of a protein precipitation, followed by high-performance liquid chromatography with MS/MS detection using gradient elution.
DOI: 10.7910/dvn/dfb6ng
title: The Municipal Drinking Water Database, 2000-2018 [United States]

description: Drinking water services in the U.S. are critical for public health and economic development but face technical, political, and administrative challenges. Understanding the root cause of these challenges and how to overcome them is hindered by the lack of integrative, comprehensive data about drinking water systems and the communities they serve. The Municipal Drinking Water Database (MDWD) fills a critical gap by combining financial, institutional, political, and system conditions of U.S. municipalities and their community water systems (CWS) to enable researchers and practitioners interested in viewing or tracking drinking water spending, the financial condition of city governments, or myriad demographic, political, institutional, and physical characteristics of U.S. cities and their drinking water systems to access the data quickly and easily. The MDWD focuses on municipally owned and operated CWS, which are ubiquitous and play a critical role in ensuring safe, affordable drinking water services for most Americans. They also offer important opportunities for understanding municipal government behavior and decision making. The MDWD is a unique dataset of municipal CWSs in the U.S. that includes information about their residents, their city governments, and their drinking water systems.
DOI: 10.7910/dvn/gple2d
title: Replication Data for: Competition and extinction explain the evolution of diversity in American Automobiles

description: Five datasets are included here. The largest is the first and last year of production for American car models from 1896 to 2014. This is the dataset to be used with the PyRate program to estimate diversification dynamics. Fields in this dataset include: clade, a unique identifier for the auto manufacturer; species, a unique identifier for the car model; ts, the year of model origination; and te, the year of model extinction. Three covariate datasets are also included: raw GDP from 1896 to 2014, the price of oil (adjusted for inflation) from 1896 to 2014, and the total number of American car models during the same time period. All datasets are scaled so that the most recent time period is 0 (2014). Finally, a dataset that includes the first and last years of production for battery electric and hybrid electric vehicles is also provided, organized in the same structure as the American car models.
DOI: 10.7910/dvn/gs838f
title: Replication Data for: Extraction, Assimilation, and Accommodation: The Historical Foundations of Indigenous-State Relations in Latin America

description: Please find the replication materials for "Extraction, Assimilation, and Accommodation: The Historical Foundations of Indigenous-State Relations in Latin America." The "contents.md" file contains a description of the included material.
DOI: 10.7910/dvn/iswxla
title: Replication Data for: Correlated Insulator and Chern Insulators in Pentalayer Rhombohedral Stacked Graphene

description: Replication Data for: Correlated Insulator and Chern Insulators in Pentalayer Rhombohedral Stacked Graphene
DOI: 10.7910/dvn/itlgqv
title: The TRANSCOMP Dataset of Literary Translations from 120 Languages and a Parallel Collection of English-language Originals

description: The TRANSCOMP Dataset of Literary Translations is a collection of document-level word frequencies sampled from over 10,000 translations into English of global literary fiction published since 1950, together with a historically matched parallel corpus of equal size that contains fiction originally published in English. The dataset was derived from the NovelTM dataset of English-language fiction, which identifies ca. 176,000 volumes of fiction located in the HathiTrust Digital Library published since the eighteenth century (Underwood). Although these volumes are subject to copyright restrictions, we are able to provide CSV files with word frequency counts for 10,000-word samples taken from each text. The associated metadata is available in a separate CSV. These data are of interest to both literary scholars and linguists working in the field of translation studies.
DOI: 10.7910/dvn/krsn2z
title: Labour Market Vignettes: Hiring

description: Following a survey with students on attitudes to minority groups (https://doi.org/10.7910/DVN/GBPLBI), I included a vignette experiment on hiring discrimination. The result suggests no discrimination. I also run the experiment with a sample of the general population. The results suggest no discrimination, but I don't trust them. I also include a priming test in the data here. The hiring vignettes are a replication of Baert, Stijn, and Ann-Sophie De Pauw. 2014. ‘Is Ethnic Discrimination Due to Distaste or Statistics?’ Economics Letters 125 (2): 270–73. https://doi.org/10.1016/j.econlet.2014.09.020.
DOI: 10.7910/dvn/l4mdkc
title: Dataset for the detection of anaemia using conjunctival images

description: Dataset for the clinical study on the quantification of conjunctival pallor from digital camera images for the non-invasive detection of anaemia
DOI: 10.7910/dvn/mbdikp
title: Wright Casebook Edited; Docketed Case: 76-1441
DOI: 10.7910/dvn/qr9dr6
title: Carbapenemase-Producing Enterobacterales Isolated in Korean University Hospitals

description: This dataset include information about Carbapenemase-Producing Enterobacterales Isolated From Rectal and Clinical Specimens in Korean University Hospitals from 2016 to 2019. Names of hospitals, isolated date, sample type, locations, species, carbapenemase gene types, and antimicrobial susceptibilities are provided.
DOI: 10.7910/dvn/wnlslv
title: Survey temples to Perspectives of scholars on the origin, spread and consequences of COVID-19 are diverse but not polarized

description: The COVID-19 pandemic has caused a serious impact on people’s health, livelihoods, economies, and behaviours. This pandemic has shaken us to our very core and has created a moment to contemplate the future. 

This is an online survey form used to collect data from research around the world.
DOI: 10.7910/dvn/wzlqmc
title: Replication Data for: Health and Voting in Rural America

description: This research explores the impact of health on voter turnout, with the goal of uncovering important variation in dynamics across rural communities. Drawing on the results of county and individual-level analyses, including novel survey data from an Appalachian community, this study finds that health matters less for rural voters. Models using county-level data indicate that poor health is significantly and negatively related to voter turnout across counties, even when controlling for educational attainment, poverty, diversity, and political competition. However, health loses its explanatory power in rural counties once a control for religiosity is introduced. Health is also a less important predictor in rural places where there is a high cost of voting, a finding counter to the notion that high costs would uniformly amplify the negative effects of health disparities. Models using individual-level data provide support for many of these findings, while also generating new insights into the complexity of rural political behavior. Overall, this study suggests that place has an important role in understanding the engagement of American voters.
DOI: 10.7910/dvn/4ek4kx
title: Replication Data for: Effects of a large scale social media advertising campaign on holiday travel and COVID-19 infections: a cluster randomized controlled trial

description: This package contains replication data for: "Doctors’ and Nurses’ Social Media Ads Reduced Holiday Travel and COVID-19 infections: A cluster randomized controlled trial in 13 States". It also contains the IRB protocol documents.

It contains 9 datasets:
-clean_cases.csv: zip level Covid-19 cases
-county_covariates.dta: county level covariates
-county_pop2019.dta countains county population in 2019
-Election2020.dta: election data from 2020
-fb_movement_data.dta: Facebook mobility data
-randomized_sample_thanksgiving.xlsx: zip and county treatment status during the Thanksgiving campaign
-randomized_sample_christmas.xlsx: zip and county treatment status during the Christmas campaign
-us-counties.csv: county level Covid-19 data
-randomized_zip.csv: treatment randomizations generated by zip_randomization.R for Randomization Inference

The code, produced in R, contains both cleaning and analysis code. For further details on the data or how to run the code, please see the readme file. 

The abstract of the paper is as follows: 

During the COVID-19 epidemic, many health professionals started using mass communication on social media to relay critical information and persuade individuals to adopt preventative health behaviors. Our group of clinicians and nurses developed and recorded short video messages to encourage viewers to stay home for the Thanksgiving and Christmas Holidays. We then conducted a two-stage clustered randomized controlled trial in 820 counties (covering 13 States) in the United States of a large-scale Facebook ad campaign disseminating these messages. In the first level of randomization, we randomly divided the counties into two groups: high intensity and low intensity. In the second level, we randomly assigned zip codes to either treatment or control such that 75% of zip codes in high intensity counties received the treatment, while 25% of zip codes in low intensity counties received the treatment. In each treated zip code, we sent the ad to as many Facebook subscribers as possible (11,954,109 users received at least one ad at Thanksgiving and 23,302,290 users received at least one ad at Christmas). The first primary outcome was aggregate holiday travel, measured using mobile phone location data, available at the county level: we find that average distance travelled in high-intensity counties decreased by -0.993 percentage points (95% CI -1.616, -0.371, p-value 0.002) the three days before each holiday. The second primary outcome was COVID-19 infection at the zip-code level: COVID-19 infections recorded in the two-week period starting five days post-holiday declined by 3.5 percent (adjusted 95% CI [-6.2 percent, -0.7 percent], p-value 0.013) in intervention zip codes compared to control zip codes.
DOI: 10.7910/dvn/fwmikt
title: Replication Data for: Zellman and Malji (2023) Diversionary Desecration? Politics Religion & Ideology

description: Replication Data for: Zellman and Malji (2023) Diversionary Desecration? Politics Religion & Ideology
DOI: 10.7910/dvn/fxdr2z
title: Replication Data for: Dataset "P3Numbers_20150526_f_13_003" available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=714

description: Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.
description: Presentation, 18.1
description: Brain Vision Recorder, 1.20.0001
description: All data and metadata in this dataverse can be downloaded as an experimental package named "PROJECT DAYS P3 NUMBERS" that is available at https://eegdatabase.kiv.zcu.cz in section "All experiments"
DOI: 10.7910/dvn/m8v4sg
title: :unav

description: :unav
DOI: 10.7910/dvn/nm16xe
title: Wright Casebook Edited; Docketed Case: 72-1765