cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/jc2qj0
title: Replication Data for: Partisanship and Preference Formation: Competing Motivations, Elite Polarization, and Issue Importance

description: An enduring and increasingly acute concern – in an age of polarized parties – is that people’s partisan attachments distort preference formation at the expense of relevant information. For example, research suggests that a Democrat may support a policy proposed by Democrats, but oppose the same policy if proposed by Republicans. However, a related body of literature suggests that how people respond to information and form preferences is distorted by their prior issue attitudes. In neither instance is information even-handedly evaluated, rather, it is interpreted in light of partisanship or existing issue opinions. Both effects are well documented in isolation, but in most political scenarios individuals consider both partisanship and prior opinions—yet, these dynamics may or may not pull toward the same preference. Using nationally representative experiments focused on tax and education policies, I introduce and test a theory that isolates when: partisanship dominates preference formation, partisanship and issue opinions reinforce or offset each other, and issue attitudes trump partisanship. The findings make clear that the public does not blindly follow party elites. Depending on elite positions, the level of partisan polarization, and personal importance of issues, the public can be attentive to information and shirk the influence of party elites.
DOI: 10.7910/dvn/jcirk6
title: A10_18193.JPG

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/25d308eb-7053-4771-b950-28c3afbdf4a2'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/25d308eb-7053-4771-b950-28c3afbdf4a2
DOI: 10.7910/dvn/kc7ypy
title: Replication data for: Beyond Reducing Nonresponse Bias: Modeling Item Nonresponse in Survey Research

description: This paper discusses the limitations of whitening out nonresponse bias with multiple imputation and discusses the extent to which item nonresponse can be modeled as a response in and of itself. Specifically, I propose three techniques for modeling nonresponse at two different levels. I introduce a technique for modeling nonresponse in a particular variable of interest with a regression model using multiply imputed values of the nonresponses as a key explanatory variable. I then introduce two techniques for modeling nonresponse in a series of variables or over the entirety of the dataset. Finally, I introduce a technique for weighting respondents by their rate of response. The methods described in this paper are implemented in the free software which accompanies this research.
DOI: 10.7910/dvn/mj1ycl
title: Replication data for: The Dangers of Extreme Counterfactuals

description: We address the problem that occurs when inferences about counterfactuals -- predictions, "what if" questions, and causal effects -- are attempted far from the available data. The danger of these extreme counterfactuals is that substantive conclusions drawn from statistical models that fit the data well turn out to be based largely on speculation hidden in convenient modeling assumptions that few would be willing to defend. Yet existing statistical strategies provide few reliable means of identifying extreme counterfactuals. We offer a proof that inferences farther from the data are more model-dependent, and then develop easy-to-apply methods to evaluate how model-dependent our answers would be to specified counterfactuals. These methods require neither sen
sitivity testing over specified classes of models nor evaluating any specific modeling assumptions. If an analysis fails the simple tests we offer, then we know that substantive results are sensitive to at least some modeling choices that are not based on empirical evidence.
&lt;br /&gt; &lt;br /&gt; See also: &lt;a href= "http://gking.harvard.edu/category/research-interests/methods/causal-inference" target="_blank"&gt;Casual Inference&lt;/a&gt;
DOI: 10.7910/dvn/oakxno
title: A98_9835.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/4c158b8e-dbd5-9c77-ecf2-7275d840c7d1'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/4c158b8e-dbd5-9c77-ecf2-7275d840c7d1
DOI: 10.7910/dvn/wvoj3e
title: A15_29770.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/709cf805-727a-4c03-b87a-379e9933b2d1'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/709cf805-727a-4c03-b87a-379e9933b2d1
DOI: 10.7910/dvn/xvhpuf
title: Influence of the COVID-19 pandemic on Asian scholarly journal editors’ daily life, work, and opinions on future journal development

description: Dataset 1. Raw data of the survey
Suppl. 1. Survey questionnaire Suppl. 2. Reasons for responses of “yes” to the item “Do you think that online-only journal publishing will expand after the COVID-19 pandemic?”
Suppl. 3. Reasons for responses of “yes” or “no” to the item “Do you think that the need for journal publishing (the number of articles or number of journals) will increase after the COVID-19 pandemic?”
Suppl. 4. Answers to the item “Please describe any other changes you expect in journal editing and publishing due to COVID-19.”
Suppl. 5. Answers to the item “Please suggest future training programs related to editing or publishing.”
DOI: 10.7910/dvn/4wngej
title: Replication Data for: Generalizability of Heterogeneous Treatment Effect Estimates Across Samples

description: The extent to which survey experiments conducted with non-representative convenience samples are generalizable to target populations depends critically on the degree of treatment effect heterogeneity. Recent inquiries have found a strong correspondence between \textit{sample average treatment effects} estimated in nationally-representative experiments and in replication studies conducted with convenience samples. We consider here two possible explanations: low levels of effect heterogeneity or high levels of effect heterogeneity that are unrelated to selection into the convenience sample. We analyze subgroup \textit{conditional average treatment effects} using 27 original-replication study pairs (encompassing 101,745 individual survey responses) to assess the extent to which subgroup effect estimates generalize. While there are exceptions, the overwhelming pattern that emerges is one of treatment effect homogeneity, providing a partial explanation for strong correspondence across both unconditional and conditional average treatment effect estimates.
DOI: 10.7910/dvn/dayscx
title: Replication Data for: Campaign Messages, Polling, and Elections: Theory and Experimental Evidence

description: How do politicians' track records and campaign messaging interact and affect voters' welfare? We analyze this question, theoretically and experimentally. In the theoretical model, which we implement in the experiment, politicians choose how much of an economy's resources to allocate to the citizenry - keeping the remainder for themselves - then face re-election against a challenger. Both incumbents and challengers have private information about their own quality which determines the economy's level of resources. We vary whether candidates can send campaign messages, and the level of variability in candidates' quality. We observe that both higher quality variability and allowing campaigning benefit citizens by allowing them to better select and hold accountable higher-quality officials. Also, when incumbents have performed poorly or when quality variability is high, challengers' negative campaigning (criticizing the incumbent) increases, and incumbents' positive campaigning (emphasizing their own strengths) decreases.
description: This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. 
<br>
NOTE: Per the AJPS editors approval, the Odum Institute did not verify the construction of the analysis data in Excel from the raw data. 
<br>
The associated article has been awarded Open Data Badges. Learn more about the Open Practice Badges from the Center for Open Science.<br>
DOI: 10.7910/dvn/fyscai
title: What's Stopping You?: The Sources of Political Constraints on International Conflict Behavior in Parliamentary Democracies

description: Much of the work on the democratic peace treats democracies as a homogenous set. In this paper we focus on the heterogeneity of established parliamentary democracies and investigate the effects of their domestic constraints on international conflict behavior. We emphasize leaders' vulnerability to removal from office and how this vulnerability varies across democracies as a function of two aspects of a ruling parliamentary coalition: 1) its political position, that is, whether a government is "right" or "left"; and 2) its structural complexity. We present a model of the relationship between levels of conflict and leaders' vulnerability to removal from office. The model concludes that leaders who are more likely to be removed from office, should they use force, are less likely to become involved in militarized interstate conflict; but that once involved, they are more likely to see their conflicts escalate. We find that right governments (whose leaders are less vulnerable to removal from office should they use force) are more likely to be involved in militarized disputes, while left governments (whose leaders are more likely to be removed from office should they use force) are more likely to see the disputes in which they are involved escalate. Our evidence indicates that structural complexity is largely unrelated to the likelihood of either involvement in or escalation of militarized interstate disputes.
DOI: 10.7910/dvn/gxwhfg
title: Replication Data for Gender Quota Adoption and the Qualifications of Parliamentarians

description: Gender quotas in legislative elections are a central component of institutional reform to foster women's inclusion in politics. However, stigma remains that women elected under quotas may be of lower quality than the men that they replace. We investigate how quotas affect the qualifications of parliamentarians by capitalizing on the unique variation of national electoral systems used in European Parliament elections over its entire 40-year history. We provide compelling evidence that quotas are associated with higher overall levels of educational attainment in parliamentary delegations. Quotas increase the number of educated women within delegations while simultaneously increasing the level of education held by the remaining men. Thus, we provide robust support for the impact of quotas on legislator qualities in a way that has thus far been observed in only single country contexts and fixed time periods.
DOI: 10.7910/dvn/j6ead6
title: COVID-19 Impact on Rural Men and Women in Rwanda, Round 2

description: This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Rwanda. The impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with 223women and 278 men. At the time of data collection, COVID-19 caseloads were considerably slowing in Rwanda. The focus was on the socioeconomic impacts of COVID-19 on work and income; food and nutrition security; mobility and migration; household conflicts during the pandemic and access to services. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing for analysis of the impact of COVID-19 through time.
description: STATA, 17
description: Household- and Community-level Surveys
DOI: 10.7910/dvn/mnppjj
title: ASTI Swaziland database

description: This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D).
&lt;/br&gt;
&lt;/br&gt;
Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure of agricultural R&D is fundamental to understanding the contribution of research to agricultural growth in low- and middle-income countries. Providing such data is the mission of IFPRI’s Agricultural Science and Technology Indicators (ASTI) program. Through its large network of national, regional, and international partners, ASTI collects and analyzes data from government, higher education, nonprofit, and (where possible) private-sector agencies involved in agricultural R&D. The program conducts ongoing analysis of these datasets; disseminates the results of this analysis to promote advocacy and support policymaking; and builds national and regional capacity for data collection and analysis.&lt;b&gt;&lt;i&gt;This data was collected in 2014 and made it to Dataverse in 2015.&lt;/i&gt;&lt;/b&gt;
&lt;/br&gt;
&lt;/br&gt;
&lt;Strong&gt;&lt;u&gt;Data File&lt;/u&gt;&lt;/strong&gt;: &lt;a href="http://www.asti.cgiar.org/swaziland"&gt;http://www.asti.cgiar.org/swaziland&lt;/a&gt;
description: Country Level Data
DOI: 10.7910/dvn/ofcaae
title: Replication Data for: "Agenda Control and Timing of Bill Initiation: A Temporal Perspective on Coalition Governance in Parliamentary Democracies"

description: Although democratic governance imposes temporal constraints, the timing of government policymaking activities such as bill initiation is still poorly understood. This holds especially under coalition governments, in which government bills need to find approval by a partner party in parliament. We propose a dynamic temporal perspective, in which at the beginning of a term ministers do not know whether they face a cooperative or competitive partner but they learn this over time and use their agenda control to time further bill initiation in response. A circular regression analysis using data on more than 25,000 government bills from 11 parliamentary democracies over 30 years supports this temporal perspective, showing that ministers initiate bills later in the term when their previous bills have experienced greater scrutiny. Ministers further delay bill initiation when coalition parties' incentives to deviate from compromise increase and when they have less power to constrain their bills' scrutiny.
DOI: 10.7910/dvn/yzkupv
title: Main Belt Asteroid Delta-Vs

description: DeltaV_Results.txt contains the Delta-V data for all objects with perturbed orbit solutions in the Minor Planet Center dataset (http://www.minorplanetcenter.net/data).
DeltaV_Results_MB.txt contains the Delta-V data for all Main Belt objects with perturbed orbit solutions in the Minor Planet Center dataset (http://www.minorplanetcenter.net/data).
Main_Belt_Code_V3.py is the code used to create the output datasets. It is written for Python 3.6, and requires numpy, multiprocessing, pandas packages. It is designed to work on Unix based system (macOS/Linux). It will not work on Windows based systems.
DOI: 10.7910/dvn/yzpezn
title: Caribbean Zamia phylogeny

description: alignment, best partitioning scheme, tree file
DOI: 10.7910/dvn/dacsqw
title: Replication of Seaton et al (2009) Big-Fish-Little_Pond Effect: Generalizability and Moderation

description: This study is a replication of Seaton et al's (2009) paper 'Big-Fish-Little-Pond Effect: generalisability and moderation - two sides of the same coin' published in the American Education Research Journal. The BFLPE suggests that students who attend high-ability classes and schools have lower academic self-concepts than their equally able peers in lower ability environments. Seaton investigates the effect of 16 potential moderators on the BFLPE using the data set produced by the OECD's Programme for International Student Assessment in 2003. PISA is an international standardised assessment of 15-year-old students’ attainment and attitudes in relation to reading, mathematics and science, gathering data from 41 countries. In this study, we attempt to replicate the results from Seaton's mixed effects models and compare them to results from more parsimonious linear regressions.
DOI: 10.7910/dvn/ofi8ib
title: A85_19.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/06a55e0f-741a-1812-da65-781b9f969e30'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/06a55e0f-741a-1812-da65-781b9f969e30
DOI: 10.7910/dvn/roebuv
title: Wright Casebook Edited; Docketed Case: 79-1343
DOI: 10.7910/dvn/wzcbyk
title: Manual Lightfield Recording with Wide Baseline

description: Lightfield recording for camera location estimation/lightfield rectification.
DOI: 10.7910/dvn/xf4hw2
title: Executive Agreements Database, Statement Concerning the Agreement with Perú Regarding the Reduction Of Certain Debts Owed to the Government of the United States of America and Its Agencies, with Annexes. Signed At Washington September 18, 2008. Entered Into Force September 18, 2008.

description: KAV 8483 cover memo
DOI: 10.7910/dvn/z1bvyb
title: Anti-Muslim Policy Preferences and Boundaries of American Identity Across Partisanship

description: Data and replication code for "Anti-Muslim Policy Preferences and Boundaries of American Identity Across Partisanship."
DOI: 10.5281/zenodo.15584614
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603m Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250603m Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15584615
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603m Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250603m Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.7910/dvn/4uyzh2
title: AeonLabs 2014-16 business Plan

description: This dataset contains all files related to the entrepreneurial path of AeonLabs between 2014 and 2016. It includes the business plan elaborated and presented to financing institutions
DOI: 10.7910/dvn/gxmjjp
title: Replication Data for: "Economic Decline, Social Identity, and Authoritarian Values in the United States"

description: This includes all data sources and do files to replicate all tables and figures reported in the main text and online appendix for Ballard-Rosa, Jensen & Scheve (2021).
DOI: 10.7910/dvn/h1awzx
title: TUTH Earthquake Victims

description: This folder contains one dataset with patient records from the earthquake victims admitted at the Tribhuvan University Teaching Hospital, Kathmandu, Nepal.
DOI: 10.7910/dvn/jdceot
title: Appendix 6 on parliamentary committees for Greece

description: This Appendix contains the list and classification of parliamentary committees mentioned in the national and regional datasets. Three files are provided: an MS Excel file with the national and regional committees in two separate sheets (where the data were originally created), and two CSV files each for national and regional committees respectively.
description: PATHWAYS project
description: MS Excel, null
DOI: 10.7910/dvn/xvtulf
title: Ecuador Potato Wholesaler Survey

description: Ecuador potato wholesaler survey is the study of the wholesalers in the potatoes value chain in Ecuador. These data allow quantifying the extent of food loss at the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.
description: Institution-level surveys
DOI: 10.7910/dvn/yzhj7h
title: Factors Affecting Household Solid Waste Source Separation Intention and Disposal: A Focus on Sri Lanka

description: This dataset is related to the study entitled Factors Affecting Household Solid Waste Source Separation Intention and Disposal: A Focus on Sri Lanka. This study has two objectives. First, it examines the effects of demographic and socioeconomic factors, local government role factors, situational factors, and socio-psychological factors on household Solid Waste Source separation intention. Second, it examines the effects of the aforementioned factors on household Solid Waste Disposal Methods. This dataset contains 428 responses collected from households in three districts of the western province of Sri Lanka. The coding for the variables is provided in the Word file associated with this dataset.
DOI: 10.7910/dvn/d6gu8u
title: Replication Data for: A comparison study of five different methods to measure carotenoids in biofortified yellow cassava (Manihot esculenta)

description: &lt;p&gt; The most commonly used method for measuring carotenoid concentration is high-performance liquid chromatography (HPLC). Nevertheless, easier, quicker, and less costly proxy methods exist. We aimed to determine the diagnostic performance of several proxy methods: the spectrophotometer, iCheck Carotene, and near-infrared spectroscopy using both a desktop (dNIRS) and a portable (pNIRS) device for the measurement of total carotenoid concentration (TCC) and all-trans-β-carotene concentration (trans-BC) in 30 fresh cassava (Manihot esculenta Crantz) storage roots in comparison with HPLC.&lt;/p&gt;
 &lt;/br&gt;
&lt;p&gt;The spectrophotometer presented the highest predictability for TCC, followed by iCheck, dNIRS, and pNIRS. The dNIRS showed the highest predictability and agreement for trans-BC. The pNIRS showed the poorest repeatability and greatest underestimations compared with HPLC. The agreement between all methods was lower for higher carotenoid concentration, with the exception of the spectrophotometer.&lt;/p&gt;

 &lt;/br&gt;
 &lt;p&gt;
According to our results, and for screening purposes, the measurement of carotenoids in fresh cassava roots can be carried out by spectrophotometer, iCheck Carotene and NIRS methods depending on the availability of equipment. &lt;/p&gt;
description: Cassava storage roots with low, media and high carotenoid levels
DOI: 10.7910/dvn/jbvrtz
title: Patient information sheet

description: Patient information sheet
DOI: 10.7910/dvn/ktwy82
title: Scientific experiments: a survey

description: Survey data
DOI: 10.7910/dvn/lhh29p
title: Replication Data for: 'Predicting and Preventing Gun Violence: An Experimental Evaluation of READI Chicago'

description: The programs replicate tables and figures from "Predicting and Preventing Gun Violence: An Experimental Evaluation of READI Chicago", by Bhatt, Heller, Kapustin, Bertrand, and Blattman. Please see the REAME file for additional details.
description: R, null
DOI: 10.7910/dvn/rothft
title: RCT-B

description: This is data from the second RCT, RCT-B.
DOI: 10.7910/dvn/wyxhxb
title: A15_30200.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/b53b2c60-8170-4a11-a722-6c43234976ac'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/b53b2c60-8170-4a11-a722-6c43234976ac
DOI: 10.7910/dvn/xuhae1
title: Replication Data for: The Impact of U.S.-China Tensions on U.S. Science: Evidence from the NIH Investigations

description: Replication Data for: The Impact of U.S.-China Tensions on U.S. Science: Evidence from the NIH Investigations