cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/7cpjpq
title: Observational Large Ensemble

description: &lt;p&gt;These python datasets contain the results presented in the above paper with regard to the variability in trends over North America during DJF due to sampling of internal variability. &lt;/p&gt;

&lt;p&gt;Two types of files are available. The netcdf file contains samples from the synthetic ensemble of DJF temperatures over North America from 1966-2015. The synthetic ensemble is centered on the observed trend. Recentering the ensemble on the ensemble mean trend from the NCAR CESM1 LENS will create the Observational Large Ensemble, in which each sample can be viewed as a temperature history that could have occurred given various samplings of internal variability. The synthetic ensemble can also be recentered on any other estimate of the forced response to climate change. While the dataset is both land and ocean, it has only been validated over land.&lt;/p&gt;

&lt;p&gt;The second type of file, presented as python datasets (.npz) contains the results presented in the McKinnon et al (2017) reference. In particular, it contains the 50-year trends for both the observations and the NCAR CESM1 Large Ensemble that actually occurred, and could have occurred given a different sampling of internal variability. The bootstrap results can be compared to the true spread across the NCAR CESM1 Large Ensemble for validation, as was done in the manuscript. &lt;/p&gt;

&lt;p&gt;Each of these files is named based on the observational dataset, variable, time span, and spatial domain.&lt;/p&gt;

&lt;p&gt;They contain:
BETA: the empirical OLS trend 
BOOTSAMPLES: the OLS trends estimated after bootstrapping
INTERANNUALVAR: the interannual variance in the data after modeling and removing the forced trend
empiricalAR1: the empirical AR(1) coefficient estimated from the residuals around the forced trend&lt;/p&gt;

&lt;p&gt;The first dimension of all variables is 42, which is a stack of the ensemble mean behavior (index 0), the forty members of the NCAR Large Ensemble (indices 1:40), and the observations (last index, -1).&lt;/p&gt;

&lt;p&gt;The second dimension is spatial. See latlon.npz for the latitude and longitude vectors. The third dimension, when present, is the bootstrap samples. We have saved 1000 bootstrap samples. &lt;/p&gt;
DOI: 10.7910/dvn/apdie6
title: Natural Disasters and the Size of Nations

description: What is the relationship between natural disasters and country size? Is an increasing likelihood of environmental shocks linked to political integration or secessionism? We argue that natural disasters are associated with a decline in country size. This relationship arises because costs generated by disasters are higher for citizens located farther away from the political center of a country, and costs are amplified as disasters affect a larger area in a country, which in turn makes it less desirable for citizens in remote regions to remain part of a larger country. Our empirical results show that greater risks of environmental shocks are indeed associated with smaller countries, as well as smaller administrative units.
DOI: 10.7910/dvn/fihgn0
title: Replication Data for: Detecting Voter Understanding of Ideological Labels Using a Conjoint Experiment

description: Understanding voters’ conception of ideological labels is critical for political behavioral research. Conventional research designs have several limitations, such as endogeneity, insufficient responses to open-ended questions, and inseparability of composite treatment effects. To address these challenges, we propose a conjoint experiment to study the meanings ascribed to ideological labels in terms of policy positions. We also suggest using a mixture model approach to explore heterogeneity in voters’ understandings of ideological labels, as well as the average interpretation of labels. We applied these approaches to conceptions of left–right labels in Japan, where the primary issue of elite-level conflicts has been distinctive compared with other developed countries. We found that, on average, while Japanese voters understand policy-related meanings of “left” and “right,” they primarily associate these labels with security and nationalism, and, secondarily, with social issues; they do not associate these labels with economic issues. Voters’ understandings partly depend on their birth cohort, but observed patterns do not necessarily coincide with what many researchers would predict regarding generational differences in Japanese politics. Mixture model results suggest that some individuals tend to associate left–right labels with security and nationalism policies, while others link them to social policies. Over one-third of respondents seemed to barely understand the usage of left–right labels in policy positions. Our study improves upon existing methods for measuring voter understanding of ideological labels, and reconfirm the global diversity of meanings associated with left–right labels.
DOI: 10.7910/dvn/ukyxby
title: Sacred tree motif in Kyrgyz epic

description: This article is dealing with motif of the sacred tree in Kyrgyz epic, in comparison with materials of world folklore. The aim of this research is to show the artistic images of the archaic motifs in Kyrgyz epic of mythological and poetic contexts. Objectives of study were to determine the role of archaic motifs in the formation and development of epic by using the comparative-typological method of folklore study.
DOI: 10.15468/dl.kexezm
title: Occurrence Download

description: A dataset listing the 10497 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database of Vascular Plants of Himalaya"
 ]
}

 The dataset's 10497 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017796-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/gzy8pg
title: Background Spectra Data

description: This data is the background spectrum collected using Ortec GammaVision from the characterization study on RRR niobium that was completed at Oregon State University. Also included is the ROI file that was used in Ortec GammaVision to select the ROIs in the spectrum.
DOI: 10.7910/dvn/jvkqlc
title: Replication Data for: The Effects of Naming and Shaming on Public Support for Compliance with International Agreements: An Experimental Analysis of the Paris Agreement

description: How does naming and shaming affect public support for compliance with international agreements? We investigated this question by conducting survey experiments about the Paris Agreement, which relies on social pressure for enforcement. Our experiments, administered to national samples in the United States, produced three sets of findings. First, shaming by foreign countries shifted domestic public opinion in favor of compliance, increasing the political incentive to honor the Paris Agreement. Second, the effects of shaming varied with the behavior of the target. Shaming was more effective against partial compliers than against targets that took no action or honored their obligations completely. Moreover, even partial compliers managed to reduce the effects of shaming through the strategic use of counter-rhetoric. Third, identity moderated responses to shaming. Shaming by allies was not significantly more effective than shaming by non-allies, but Democrats were more receptive to shaming than Republicans. Overall, our experiments expose both the power and the limits of shaming as a strategy for enforcing the Paris Agreement. At the same time, they advance our understanding of the most significant environmental problem facing the planet.
DOI: 10.7910/dvn/jvkx5s
title: Municipal Assemblies in European Local Governance

description: The dataset contains survey data from elected local councillors in 16 European countries, collected in 2007-2010.
description: SPSS, null
DOI: 10.7910/dvn/tvb65v
title: Replication Data for: Whole genome sequencing and phylogenetic analysis of Human metapneumovirus strains from Kenya and Zambia
title: Replication dataset for HMPV WGS paper

description: &lt;p&gt;Replication dataset for plotting Figure 2 and Supplementary Figure 2: The average pairwise identities were calculated using the sequence data described in the article in Geneious R8.1.5 (https://www.geneious.com). The plots were done in R 3.5.3. &lt;/p&gt;
DOI: 10.7910/dvn/un84xs
title: Ghana Upper East Region Groundwater Games for Resource Governance

description: The study intervention included playing an irrigation groundwater governance game with multiple rounds and treatments in each village: one game with 5 men players and one game with 5 women players. Player choices and group outcomes (including water withdrawals and availability) for each round of the game were recorded and uploaded to SurveyCTO.
&lt;/p&gt;A pre- and post-game survey of individual players immediately before and immediately after the game was conducted to gather data on characteristics of the players, their households and farms including current irrigation practices, individual mental models regarding groundwater resources and their management, and perceptions about levels of trust and cooperation between community members.
&lt;/p&gt;The games and surveys were conducted in 15 treatment villages in 4 districts in the Upper East Region of Ghana. Our intervention sample consisted of 30 villages: 15 control and 15 treatment villages.
description: Household- and Community-level Surveys
description: EXCEL, null
DOI: 10.7910/dvn/zrufev
title: Replication Data for: Human Rights Institutionalization and U.S. Humanitarian Military Intervention

description: Are human rights a core value of U.S. foreign policy? If so, how does the
U.S. enforce human rights standards? Extant studies maintain that mass
media, public opinion, and/or political concerns drive U.S. decisions to
engage in humanitarian military interventions. In this study, we explore
the extent to which “human rights institutionalization” through the State
Department’s human rights reporting affects the likelihood of U.S.
humanitarian interventions. We find that human rights
institutionalization is a viable, and perhaps even the best, explanation for
the robust connection between human rights violations and deployment
of the U.S. military. These findings suggest that the U.S. is willing to
undertake costly action to enforce international standards of human
rights, but with some important caveats. Overall, we provide large-N,
quantitative support for the broader shifts in U.S. humanitarian
intervention described by qualitative scholars and experts in U.S.
strategy and security policy.
DOI: 10.7910/dvn/jqhar
title: House Unpassed Legislation 1851, Docket 3162, SC1/series 230, Petition of William H. Moore

description: &lt;p&gt;Petition subject: Abolition of capital punishment &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13481600"&gt;http://nrs.harvard.edu/urn-3:FHCL:13481600&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Boylston &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: John Andrews Jr., Boylston; committee on the death penalty &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;William H. Moore&lt;/li&gt;&lt;li&gt;Jonah Ball&lt;/li&gt;&lt;li&gt;Mary Simmons&lt;/li&gt;&lt;li&gt;Betsy Andrews&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1851-02-15,1851-02-16 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 15, 1851 and referred to the committee on the death penalty and sent for concurrence and received in the Senate on February 16, 1851 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 111 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, sent, received, concurred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 46 &lt;/p&gt; &lt;p&gt;Female signatures: 65 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, [females] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Signatory column format: column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Additional archivist notes: ["Infalliable Interest Calculator"] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1851, Docket 3162 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/phwmlx
title: Wright Casebook Edited; Docketed Case: 19,193
DOI: 10.7910/dvn/rr1gml
title: Wright Files I-Z Edited; Docketed Case: 21226
DOI: 10.7910/dvn/upl4tt
title: Replication Data for: The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning

description: Replication and simulation reproduction materials for the article "The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning."

Please see the README file for a summary of the contents and the Replication Guide for a more detailed description.

Article abstract:
Principled methods for analyzing missing values, based chiefly on multiple imputation, have become increasingly popular yet can struggle to handle the kinds of large and complex data that are also becoming common. We propose an accurate, fast, and scalable approach to multiple imputation, which we call MIDAS (Multiple Imputation with Denoising Autoencoders). MIDAS employs a class of unsupervised neural networks known as denoising autoencoders, which are designed to reduce dimensionality by corrupting and attempting to reconstruct a subset of data. We repurpose denoising autoencoders for multiple imputation by treating missing values as an additional portion of corrupted data and drawing imputations from a model trained to minimize the reconstruction error on the originally observed portion. Systematic tests on simulated as well as real social science data, together with an applied example involving a large-scale electoral survey, illustrate MIDAS's accuracy and efficiency across a range of settings. We provide open-source software for implementing MIDAS.
description: Python, null
description: R, null
DOI: 10.7910/dvn/upmohw
title: Guns or Money? Defense Cooperation and Bilateral Lending as Coevolving Networks

description: How are defense cooperation and economic cooperation related? To answer this question, we analyze the coevolution of defense cooperation agreements (DCAs) and government-to-government loans. We argue that governments pursue two distinct sets of interests. At the bilateral level, governments use issue linkages and side payments to encourage spillover from defense cooperation to economic cooperation, and vice versa. That is, governments' bilateral interests in DCAs and loans are largely complementary. However, at the network level, interests may diverge. Specifically, governments use DCAs to build clubs of like-minded defense collaborators or "security communities," while they use loans to impose asymmetric forms of political authority or "hierarchies." In some contexts, these network-level interests are, like bilateral interests, complementary. For example, defense partners rely on loans to coordinate their foreign policies and better respond to security threats, and debtors rely on lending patterns to identify suitable defense partners. In other cases, however, these interests strongly conflict. For example, governments that are highly active in the loan network are especially likely to rely on asymmetric exercises of political authority, which is incompatible with the network-level goal of using DCAs to establish communities of defense collaborators. Similarly, governments that are highly active in the DCA network are, due to their complex multilateral political commitments, less vulnerable to the asymmetric influences that loans enable. To empirically test these claims, we develop a longitudinal model of multiplex network coevolution. Overall, the results show that while economic and defense cooperation often reinforce one another, they sometimes conflict in unexpected ways.
DOI: 10.7910/dvn/72c3np
title: Replication Code for: "Are University Admissions Academically Fair?"

description: Bhattacharya, Debopam, Kanaya, Shin, and Stevens, Margaret, (2017) “Are University Admissions Academically Fair?” Review of Economics and Statistics 99:3, 449-464.
description: Volume XX, Issue X
description: Code files for generating tables and figures. The data are confidential, as stated during the time of submission. Individuals who wish to obtan a subset of the data solely for research purposes have to request in writing to debobhatta@gmail.com
DOI: 10.7910/dvn/7fyh0t
title: Replication Data for: Model selection in observational media effects research: a systematic review and validation of effects

description: Replication data and code to replicate findings in "Model selection in observational media effects research: a systematic review and validation of effects", forthcoming in Political Science
DOI: 10.7910/dvn/hagrak
title: Replication Data for: Impact of COVID-19 on mortality in coastal Kenya: a longitudinal open cohort study

description: &lt;p&gt;This is a replication dataset for the manuscript titled: "&lt;a href=""&gt;Impact of COVID-19 on mortality in coastal Kenya: a longitudinal open cohort study&lt;/a&gt;".&lt;/p&gt;
&lt;p&gt;These datasets contain aggregated mortality data from the Kilifi HDSS used to describe the impact of COVID-19 on all-cause mortality from 2020-2022.&lt;/p&gt;
description: <strong>Data Access: </strong>Open

<strong>Citation Requirements: </strong>Publications based on these data should acknowledge this source using bibliographic citations.
DOI: 10.7910/dvn/unpqx
title: House Unpassed Legislation 1858, Senate laid on the table, SC1/series 230, Petition of Frederick Cabot

description: &lt;p&gt;Petition subject: Removal of Edward Greeley Loring &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11029733"&gt;http://nrs.harvard.edu/urn-3:FHCL:11029733&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Boston &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: William L. Reed, Abington; committee on that subject &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Frederick Cabot&lt;/li&gt;&lt;li&gt;Rufus Hendrick&lt;/li&gt;&lt;li&gt;Aaron S. Hale&lt;/li&gt;&lt;li&gt;William W. Vaughn&lt;/li&gt;&lt;li&gt;John Knowlton&lt;/li&gt;&lt;li&gt;Ann G. Phillips&lt;/li&gt;&lt;li&gt;Mary G. Chapman&lt;/li&gt;&lt;li&gt;Mary May&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1858-02-04,1858-02-05 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 4, 1858 and referred to the committee on that subject and sent for concurrence and received in the Senate on February 5, 1858 and laid on the table &lt;/p&gt; &lt;p&gt;Total signatures: 27 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, sent, received, laid on the table &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 9 &lt;/p&gt; &lt;p&gt;Female signatures: 4 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 14 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens, legal voters, [females], ["others"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Signatory column format: column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Additional archivist notes: Appears to have Ann G. Phillips' signature twice &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1858, laid on the table &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/7fqb93
title: A10_18376.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/d1f444e8-5e46-40b0-9054-b90c5ca79b8d'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/d1f444e8-5e46-40b0-9054-b90c5ca79b8d
DOI: 10.7910/dvn/adfwtx
title: Replication Data for: Fig 1 Consort flowchart of the study

description: Figure 1: Consort Flow Chart of the study
DOI: 10.7910/dvn/eye5if
title: Replication Data for "Does race-baiting split Latino and White Americans? Racial political speech, political trust and the importance of white identity"

description: Data and code (STATA) to enable replication of analysis for the article "Does race-baiting split Latino and White Americans? Racial political speech, political trust and the importance of white identity". The Online Appendix is also included.
DOI: 10.7910/dvn/s1wfxt
title: UK Treasury Committee Scrutiny of Bank of England

description: Quantified coding results from TC hearings.