cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/z0v1op
title: Petition of Valentine Pease

description: &lt;p&gt;Petition subject: Property &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13448939"&gt;http://nrs.harvard.edu/urn-3:FHCL:13448939&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1823-05-27 &lt;/p&gt; &lt;p&gt;Petition location: Edgartown &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Several names from a committee &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Valentine Pease&lt;/li&gt;&lt;li&gt;Daniel Smith&lt;/li&gt;&lt;li&gt;Henry Pease&lt;/li&gt;&lt;li&gt;Timothy Coffin&lt;/li&gt;&lt;li&gt;Benjamin Smith&lt;/li&gt;&lt;li&gt;Abner Fisher&lt;/li&gt;&lt;li&gt;Samuel Cleveland&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1823-06-03,1823-06-04,1824-01-16 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on June 3, 1823 and read and committed and sent for concurrence and received in the Senate on June 4, 1823 and read and concurred and leave to withdraw on January 16, 1824 &lt;/p&gt; &lt;p&gt;Total signatures: 27.0 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, read, committed, sent, received, read, concurred, leave to withdraw &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 27.0 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: proprietors of the tracts of land lying on the Island of Chabaquiddick &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;: Manuscript &lt;/p&gt; &lt;p&gt;Native American tribe: Chappaquiddick &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; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: Chappaquiddick, lands, Dukes county, 1789, shares in common, undivided, common and general fields, fences, divisions, 1796, patentees, purchasers, woodland, cattle, damages, trespass &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Senate Unpassed 1824, Docket 7134 &lt;/p&gt;
DOI: 10.7910/dvn/4xgqo0
title: A12_22626.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/68a4c82d-b33c-4166-a9ee-9c33035639a2'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/68a4c82d-b33c-4166-a9ee-9c33035639a2
DOI: 10.7910/dvn/4yhtpu
title: International Country Risk Guide (ICRG) Researchers Dataset

description: &lt;p&gt;Main data files comprise 22 variables in three subcategories of risk (political, financial, and economic) for 146 countries for 1984-2021. Data are annual averages of the components of the ICRG Risk Ratings (Tables 3B, 4B, and 5B) published in the International Country Risk Guide. Indices include: political: government stability, socioeconomic conditions, investment profile, internal conflict, external conflict, corruption, military in politics, religion in politics, law and order, ethnic tensions, democratic accountability, and bureaucratic quality; financial: foreign debt, exchange rate stability, debt service, current account, international liquidity; and economic: inflation, GDP per head, GDP growth, budget balance, current account as % of GDP.
&lt;/p&gt; 
&lt;p&gt; Table 2B provides annual averages of the composite risk rating.&lt;/p&gt;
&lt;p&gt; Table 3Ba provides historical political risk subcomponents on a monthly basis from May 2001-February 2022.
&lt;/p&gt; 

&lt;p&gt;Also includes the IRIS-3 dataset by Steve Knack and Philip Keefer, which covers the period of 1982-1997 and computed scores for six additional political risk variables: corruption in government, rule of law, bureaucratic quality, ethnic tensions, repudiation of contracts by government, and risk of expropriation.&lt;/p&gt; &lt;p&gt;Additional data files provide country risk ratings and databanks (economic and social indicators) for new emerging markets for 2000-2009.&lt;/p&gt;
description: <b>MIT affiliates should access this dataset by logging into Dataverse and selecting Massachusetts Institute of Technology.</b> <b>This dataset is only for use by MIT students, staff, and faculty. It will not be shared with anyone outside MIT.</b>Before uploading to the repository, files that were in a proprietary format were additionally converted to a more open format.
DOI: 10.7910/dvn/adfhav
title: ICPMS Sodium, Colle Gnifetti KCC, 1800-1981 C.E.

description: DATA DESCRIPTION: ICPMS Sodium, Colle Gnifetti KCC, 1800-1981 C.E. 
Citation: Alexander F. More, Christopher P. Loveluck, Heather Clifford, Michael J. Handley, Elena V. Korotkikh, Andrei V. Kurbatov, Michael McCormick and Paul A. Mayewski. (2020). The Impact of a six-year climate anomaly on the 'Spanish Flu' Pandemic and WWI. GeoHealth, American Geophysical Union. 
Coverage: LATITUDE: 45.928930 * LONGITUDE: 7.876260 
DATE/TIME START: 2013-08-04T00:00:00 * DATE/TIME END: 2013-08-11T00:00:00 
MINIMUM ELEVATION: 4484.0 m * MAXIMUM ELEVATION: 4484.0 m 
Event(s): "Colle_Gnifetti_KCC * LATITUDE: 45.928930 * LONGITUDE: 7.876260 * DATE/TIME START: 2013-08-04T00:00:00 * DATE/TIME END: 2013-08-11T00:00:00 * ELEVATION: 4484.0 m * Recovery: 71.95 m (including 1.6 m snow pit) * LOCATION: Colle Gnifetti, Monte Rosa, Swiss Alps * DEVICE: Ice drill (ICEDRILL) * COMMENT: Storage: at -20°C in isolating polystyrene boxes. Recovery and analysis of the KCC ice core, associated written records, and interpretation were supported by the Arcadia Fund of London; The Initiative for the Science of the Human Past at Harvard; The Climate Change Institute at the University of Maine. Institutes involved in drilling, processing and funding: Heidelberg University (D), Institute of Environmental Physics (leading institute); University of Bern (CH), Physics Institute, Climate and Environmental Physics (Remo Walther, Samuel Marending, Jakob Schwander); University of Maine (US), Climate Change Institute; University of Fribourg (CH); Alfred-Wegener-Institut Helmholtz-Zentrum für Meeres- und Polarforschung (D). 
Comment: Dataset corresponds to Figures 1 and 2 in the final manuscript. Discrete ICPMS Na measurements from 1800-1980 C.E. 
Parameter(s): 
 Age [C.E.] (Common Era) 
 Na [µg/L] (Discrete ICPMS sodium, Colle Gnifetti KCC)
DOI: 10.7910/dvn/dblesx
title: Replication data for: Reliable Inference in Highly Stratified Contingency Tables: Using Latent Class Models as Density Estimators

description: Contingency tables are among the most basic and useful techniques available for analyzing categorical data, but they produce highly imprecise estimates in small samples or for population subgroups that arise following repeated stratification. I demonstrate that preprocessing an observed set of categorical variables using a latent class model can greatly improve the quality of table-based inferences. As a density estimator, the latent class model closely approximates the underlying joint distribution of the variables of interest, which enables reliable estimation of conditional probabilities and marginal effects, even among subgroups containing fewer than 40 observations. Though here focused on applications to public opinion, the procedure has a wide range of potential uses. I illustrate the benefits of the latent class model-based approach for greatly improved accuracy in estimating and forecasting vote preferences within small demographic subgroups using survey data from the 2004 and 2008 U.S. presidential election campaigns.
DOI: 10.7910/dvn/dc5m3e
title: Graph theory indicators for e-mail network

description: This dataset includes graph theory indicators (centrality and clustering coefficients) for the Stanford Network Analysis Project (SNAP) "email-Eu-core-temporal" network, a well-known reference dataset for Social Network Analysis (SNA) of e-mail traffic.
DOI: 10.7910/dvn/dr0yf2
title: Replication Data for: What Do We Learn About Voter Preferences from Conjoint Experiments?

description: Political scientists frequently interpret the results of conjoint experiments as reflective of majority preferences. In this paper we show that the target estimand of conjoint experiments, the AMCE, is not well-defined in these terms. Even with individually rational experimental subjects, the AMCE can indicate the opposite of the true preference of the majority. To show this, we characterize the preference aggregation rule implied by the AMCE and demonstrate its several undesirable properties. With this result we provide a method for placing bounds on the proportion of experimental subjects who prefer a given candidate-feature. We describe conditions under which the AMCE corresponds in sign with the majority preference. Finally, we offer a structural interpretation of the AMCE and highlight that the problem we describe persists even when a model of voting is imposed.
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>
The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the Center for Open Science.<br>
DOI: 10.7910/dvn/germanpollyvote2013
title: Replication data for: German election forecasting: Comparing and combining methods for 2013

description: The present study reviews the accuracy of four methods for forecasting the 2013 German election: polls, prediction markets, expert judgment, and quantitative models. On average, across the two months prior to the election, polls were most accurate, with a mean absolute error of 1.4 percentage points, followed by quantitative models (1.6), expert judgment (2.1), and prediction markets (2.3). In addition, the study provides new evidence for the benefits of combining forecasts. Averaging all available forecasts within and across the four methods provided more accurate predictions than the typical component forecast. The error reductions achieved through combining forecasts ranged from 5% (compared to polls) to 41% (compared to prediction markets). The results conform to prior research on US presidential elections, which showed that combining is one of the most effective methods to generating accurate election forecasts.
DOI: 10.7910/dvn/gzjepw
title: Passed Acts; St. 1843, c.69, SC1/series 229

description: &lt;p&gt;Petition subject: Great Massachusetts Petition &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13448109"&gt;http://nrs.harvard.edu/urn-3:FHCL:13448109&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Methuen &lt;/p&gt; &lt;p&gt;Total signatures: 167 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 167 &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: George Latimer [note: this data reflects the information on the spreadsheet submitted by Henry I. Bowditch and William F. Channing to the legislature, which was filed with St. 1843, c.69, passed April 26, 1843. The majority of the Great Massachusetts Petition has not been located.] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: St. 1843, c.69, passed April 26, 1843 &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/j215uy
title: Data for: A 0.01-degree gridded precipitation dataset for Japan, 1926-2020

description: This dataset provides a 0.01-degree gridded precipitation dataset of Japan based on historical observation datasets covering 1926 to 2020. Historical observations conducted by the Japan Meteorological Agency and Japanese bureaucratic agencies were spatially interpolated using the inverse distance weighting method at daily and hourly temporal resolutions. Optimal parameterization for our interpolation process was selected by comparing interpolated results of various parameter combinations with precipitation observation conducted by the University of Tokyo Forests. We conducted cross-validation for over 1,000 stations with sufficient data throughout our data period and verified our product can reproduce the temporal variability of local precipitation. The strong points of our precipitation dataset are the abundance of point precipitation source data and its high spatiotemporal resolution. We expect our dataset to be highly relevant to various future studies as it can serve as forcing data for hydrological models or a database for analyzing the characteristics of historical rainfall events.

The description paper is published in Scientific Data.
Hatono, M. et al. A 0.01-degree gridded precipitation dataset for Japan, 1926-2020. Scientific Data 9, 422 (2022). https://doi.org/10.1038/s41597-022-01548-3
DOI: 10.7910/dvn/j7amtc
title: Replication Data for: The Effects of Weather Shocks on Economic Activity: What are the Channels of Impact?

description: Global temperatures have increased at a historically unprecedented pace. This paper finds that the negative effect of temperature on output in countries with hot climates runs through reduced investment, depressed labor productivity, poorer human health, and lower agricultural and industrial output. We find that hot low-income countries suffer the largest costs. In a median low-income country, aggregate output is about 2 percent lower and investment is about 10 percent lower seven years after a 1 degree increase in average annual temperature. We also find that economic development, in general, helps to shield countries from temperature shocks, with hot regions in high-income countries on average sustaining less economic damage from rising temperatures than hot regions in low-income countries.
description: Select all files and click on "Download", or click on "Access Dataset", select "Original Format". Readme.txt file provides additional information.
DOI: 10.7910/dvn/j7du18
title: NV Voter List Data (2020)

description: Nevada Statewide Voter Registration List
DOI: 10.7910/dvn/ocsfbv
title: Ownership Brazilian firms - July 2020

description: File ownership Brazilian firms in July 2020
DOI: 10.7910/dvn/ogk2sq
title: Pilot training data for machine learning of coastal bridges

description: The dataset includes 3 files, which were used for the training/ testing the machine learning model. 
a. Static_Model_OneDOF_Data contains the dataset for the load, stiffness, and displacement values for the single degree of freedom (SDOF) static model.
b. Dynamic_Model_Data_No_Damping contains the dataset for the (SDOF) dynamic model and includes the values of circular frequency of structure (ω = 1 for mass = 1 and k = 1), displacement of the column, and acceleration of the column for the free vibration case.
c. Dynamic_Model_Data_Damping contains the dataset used for the dynamic model and includes the values of circular frequency of structure (ω = 1 for mass = 1 and k = 1), displacement of the column, and acceleration of the column with a 5% damping for the free vibration case.
description: http://hdl.handle.net/1773/49484
DOI: 10.7910/dvn/rhgj8p
title: Replication Data for: Strategic Uncertainty and Elite Defections in Electoral Autocracies. A Cross-National Analysis

description: Defections within the ruling elite often endanger authoritarian rule, emboldening opposition groups and paving the way for regime breakdown. Yet, the consequences of elite defections are better understood than their causes. Why do some authoritarian regimes experience more defections to the opposition than others? This paper develops a theory of the causes of elite defection and tests it using a novel dataset based on the political careers of 15,013 legislative deputies and ministers in twelve electoral autocracies. The theory predicts that regime elites defect when there are greater opportunities to capitalize on the discontent of other regime elites and voters. Regimes with weak party mechanisms that are also supported by many factions experience more defections. Finally, defections increase during economic downturns and when the government’s control of mass media declines, which helps potential defectors coordinate with anti-regime voters.
DOI: 10.7910/dvn/rxdtts
title: Domestic Competition over Trade Barriers in the US International Trade Commission

description: As governments lower traditional tariffs, they may use non-tariff barriers, such as antidumping (AD) and countervailing duty (CVD) laws, to protect domestic industries. Research on the US International Trade Commission (ITC), an independent agency responsible for adjudicating AD/CVD claims, finds mixed evidence of political influence in these cases. However, this research focuses predominately on the political influence of the petitioning industry. Applying theories of bureaucratic oversight, I posit that the ITC must be receptive both to petitioners and to firms that oppose trade barriers. Using an original data set compiled from ITC records of witness testimony in these cases, I demonstrate that domestic opposition to an AD/CVD petition has a significant effect on ITC decisions. Moreover, members of Congress actively intervene on both sides of AD/CVD petitions and have some influence on ITC decisions. These results suggest that AD/CVD politics in the United States is better understood as a contest between competing domestic interests than a captured bureaucracy providing rents to protectionist interests.
DOI: 10.7910/dvn/xybego
title: A92_5006b.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/66b69b17-c14b-77b4-f8cd-0ed880d504eb'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/66b69b17-c14b-77b4-f8cd-0ed880d504eb
DOI: 10.7910/dvn/xyuk5z
title: Elective surgery schedules

description: The data includes ten anonymous elective surgery schedules/cases within the successive working day from a 3A hospital in Nanping, China. 
There are five mixed operating rooms and one dedicated operating room, i.e., six operating rooms. 
The start time, end time, and duration of each elective surgery in every operating room are shown on the website. 
This hospital generally performs elective surgeries from 8 a.m. to 4 p.m., local time within the working day.
DOI: 10.7910/dvn/xz0ize
title: Replication Data for: Making Bureaucracy Work: Patronage Networks, Performance Incentives, and Economic Development in China

description: Patron-client networks are widely found in governments of transitional societies and are often seen as an impediment to effective governance. This article advances an alternative view that emphasizes their enabling effects. I argue that patron-client relations can be used to improve government performance by resolving principal-agent problems within political hierarchies. I substantiate this claim by examining how patronage networks shape economic performance of local governments in China. Using an original city-level panel dataset between 2000 and 2011, and a new method that identifies patronage ties based on past promotions, I show that city leaders with informal ties to the incumbent provincial leaders deliver significantly faster economic growth than those without. I conduct additional analyses to rule out several important alternative explanations and provide evidence on the incentive-enhancing mechanism. These findings highlight the importance of informal institutions for bureaucratic management and authoritarian governance.
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. Verification of the data cleaning scripts was not conducted as it is not required for verification of the manuscript results. 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>
The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the Center for Open Science.<br>
DOI: 10.7910/dvn/4w5gow
title: Social B(eye)as Dataset v2.0
title: SBD v2.0

description: Researchers of Web and social media rely extensively on image analysis tools to understand users' sharing behaviors and engagement with content on the large scale. However, it has been made clear over the past years that there are disparities in the way that these tools treat images depicting people from different social groups. Previously, we released the Social B(eye)as Dataset, consisting of machine- and human-generated descriptions on a controlled set of people images without context. This resource allows researchers to compare the behaviors of taggers and humans systematically. We now update this, with a process that imposes the people-images onto backgrounds. The current release uses four stereotypically "feminine" and four "masculine" contexts. Thus, it enables us to consider the possible influences upon the gender inferences that are made by tagging algorithms. We also provide an updated typology of tags used by the six proprietary taggers as well as initial analyses. Our methodology for imposing semi-transparent images onto background images is publicly available, allowing others to repeat the process with other combinations of images for various research topics.
DOI: 10.7910/dvn/fzuqdm
title: A Historical Analysis of the US Stock Price Index using Empirical Mode Decomposition over 1791–2015

description: In this paper, the dynamics of Standard and Poor's 500 (S&P 500) stock price index is analysed within a time-frequency framework over a monthly period 1791:08–2015:05. Using the Empirical Mode Decomposition technique, the S&P 500 stock price index is divided into different frequencies known as intrinsic mode functions (IMFs) and one residual. The IMFs and the residual are then reconstructed into high frequency, low frequency and trend components using the hierarchical clustering method. Using different measures, it is shown that the low frequency and trend components of stock prices are relatively important drivers of the S&P 500 index. These results are also robust across various subsamples identified based on structural break tests. Therefore, US stock prices have been driven mostly by fundamental laws rooted in economic growth and long-term returns on investment.