cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/xuswg6
title: Replication Data for: 'Brahmin Left Versus Merchant Right: Changing Political Cleavages in 21 Western Democracies, 1948-2020'

description: The data and programs replicate tables and figures from "Brahmin Left Versus Merchant Right: Changing Political Cleavages in 21 Western Democracies, 1948-2020", by Gethin, Martinez-Toledano, and Piketty. Please see the ReadMe file for additional details.
DOI: 10.7910/dvn/yvize5
title: Replication Data for: Mind the tap - how volumetric pricing affects residential hot water consumption

description: Replication package
DOI: 10.7910/dvn/dmqcwl
title: KPC June 2008

description: The raw field data cover the whole month of June, 1-31, with forty-eight files. Access to these files is restricted. Please contact Dr. Zarin Machanda (machanda@fas.harvard.edu) for permission.
DOI: 10.7910/dvn/dpkrh
title: House Unpassed Legislation 1851, Docket 3162, SC1/series 230, Petition of Leprielette M. Perham

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:13481581"&gt;http://nrs.harvard.edu/urn-3:FHCL:13481581&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Mendon &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Francis E. Wheelock, Mendon; committee on the death penalty &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Leprielette M. Perham&lt;/li&gt;&lt;li&gt;Henry Aldrich&lt;/li&gt;&lt;li&gt;Caleb Thayer&lt;/li&gt;&lt;li&gt;Liberty Goss&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1851-02-11,1851-02-12 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 11, 1851 and referred to the committee on the death penalty and sent for concurrence and received in the Senate on February 12, 1851 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 34 &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): 27 &lt;/p&gt; &lt;p&gt;Female signatures: 2 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 5 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, [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: not 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;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/gzkbru
title: ASTI Pakistan 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 2012 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/pakistan"&gt;http://www.asti.cgiar.org/pakistan&lt;/a&gt;
description: Country Level Data
DOI: 10.7910/dvn/kcsvwh
title: Replication Data for: The causal effect of economic sanctions on political stability: A two-stage difference-in-differences analysis

description: This study employs the two-stage difference-in-differences (2sDiD) estimator to investigate the causal effect of economic sanctions on political stability. It contributes to existing research by (1) re-evaluating sanctions’ impacts on political stability using newly introduced causal inference methods, and (2) distinguishing the effects of sanctions across various political regimes and economic globalization levels. The paper argues that economic sanctions create economic hardships for the target population, leading to public frustration towards their governments, which stimulates political mobilization and thereby decreases the country’s political stability. However, sanctions hurt democracies more than autocracies because autocratic regimes can suppress public dissent through repression and citizens face higher costs for opposition. Moreover, economic globalization offers targets alternatives to sanctioned products and services, potentially weakening sanctions thus damaging political stability more in low-globalized than in high-globalized countries. Empirical findings from 9,230 country-year observations between 1949 and 2022 largely align with the theoretical predictions, showing that economic sanctions undermine the target’s political stability, with these destabilizing effects contingent upon its political regime and economic globalization levels.
DOI: 10.7910/dvn/o948tt
title: Replication Data for: Issue Ownership, Issue Positions, and Candidate Assessment

description: I argue that citizens alter their views of candidates' ideological and issue positions in response to two kinds of information cues: issue ownership and issue position cues. Issue ownership cues associate a candidate with the party that owns the issue discussed by a candidate. Issue position cues associate a candidate with the party that is linked to the position that the candidate discusses. These cues can either lead citizens to view the candidate as more or less extreme - both in terms of ideological and issue position assessments - than that candidate's party. When both types of cues are present, citizens should ignore the issue ownership cues in favor of the easier to process issue position cues. Evidence from a survey experiment embedded in the 2010 Cooperative Congressional Election Study provides strong support for this theory and suggests that issue ownership can convey positional information.
DOI: 10.7910/dvn/rurxsh
title: Bridge Crack Library

description: The bridge crack library (BCL) was an image dataset established to support the deep learning-based crack detection research. This dataset was based on 1180 raw images collected from inspection for in-service bridges. It contains 11000 pixel-wise labeled images with 256×256 resolutions. The dataset could be used to the training of deep neural networks for semantic segmentation of crack images.
description: The image dataset is uploaded as a zip file and consisted of three categories: non-steel crack images, steel crack images and noise images. In each of the category, there are two folds, one contains the RGB images and the other contains the corresponding labels. Users could download the file and decompress the zip file to get the images and labels. Detailed description can be found in the publication " Ye, X. W., Jin, T., Li, Z. X., Ma, S. Y., Ding, Y., & Ou, Y. H. (2021). Structural crack detection from benchmark data sets using pruned fully convolutional networks. Journal of Structural Engineering, 147(11), 04721008."
DOI: 10.7910/dvn/rvnxqq
title: Performance Evaluation of the PennPET Explorer with Expanded Axial Coverage

description: NEMA measurements for the PennPET Explorer
DOI: 10.7910/dvn/xus0le
title: Evaluating the Impact of Alternative CCT Modalities in Macedonia

description: The title of the project was: Evaluating the Impact of Alternative CCT Modalities in Macedonia
DOI: 10.7910/dvn/4u0g0g
title: California Poll: 2006-02 -- April 3-10, 2006

description: The Field Poll, established in 1945 as The California Poll by Mervin Field, has operated continuously as an independent, non-partisan, media-sponsored public opinion news service. Each year the Field Polls cover a wide range of political and social topics examining California public opinion. Continuing measures are made of voter support for leading political figures vying for major state and federal offices, job ratings of important political figures and reactions to significant political events. Voter awareness, understanding and predispositions of major campaign issues and salient statewide ballot propositions are also tracked over time. For poll 2006-02 N=917.
description: Subject: STANDARD DEPOSIT TERMS 1.0 Type: DATAPASS:TERMS:STANDARD:1.0 Notes: The UCLA Social Science Data Archive (“the Archive”) gives permission and any required licenses to Data-PASS to make the Content available for archiving, preservation and access (with permission of the Archive), within the Data Preservation Alliance for the Social Sciences ("Data-PASS") in accordance with the Data-PASS terms (the "Terms") of use (available from: http://www.icpsr.org/Data-PASS). Including permission to: (a) redisseminate copies of the Data Collection in a variety of distribution formats only according to the standard terms of use of the Archive; (b) promote and advertise the Data Collection in any publicity (in any form) for Data-PASS and the Archive; (c) describe, catalog, validate and document the Content; (d) store, translate, copy or re-format the Data Collection in any way to ensure its future preservation and accessibility, improve usability and/or protect respondent confidentiality; (e) incorporate metadata (cataloging information) or documentation regarding this study into public access catalogues. The Archive represents and warrants that the Content conforms to all Terms and that the Archive is
lawfully entitled and has full authority to license Data-Pass to use the Materials in the ways described in the Terms.;
DOI: 10.7910/dvn/gvnpsx
title: glue-ing together the Universe--Invited Talk at "Vis in Practice" Session of IEEE Viz 2018

description: Presentation Date: 
Monday, October 22, 2018.
Location: 
IEEE Viz 2018, Berlin, Germany.
Abstract: Astronomers have a long history of visualization. Going back only as far as Galileo, discoveries were made using sketches of celestial objects moving over time. Today, Astronomy inquiries can, and often do, make use of petabytes of data at once. Huge surveys are analyzed statistically to understand tiny fluctuations that hint at the fundamental nature of the Universe, and myriad data sets, from telescopes across the globe and in space are brought together to solve problems ranging from the nature of black holes to the structure of the Milky Way to the origins of planets like Earth. In this talk, I will summarize the state of partnerships between astronomical, physical, and computational approaches to gleaning insight from combinations of scientific and information visualization in Astrophysics. In particular, I will discuss how the “glue” linked-view visualization environment (glueviz.org), developed originally to facilitate high-dimensional data exploration in Astronomy and Medicine, can be extended to many other fields of data-driven inquiry. In addition, I will explain how the current open-source, plug & play, approach to software facilitates the combination of powerful programs and projects such as glue, WorldWide Telescope, ESASky, and the Zooniverse Citizen Science platform. Throughout the talk, I will emphasize the commonalities amongst many fields of science that rely on high-dimensional data. Scientists do not draw distinctions between “scientific visualizations” that show literal spatial dimensions, and “information visualizations” that characterize non-spatial and/or statistical aspects of data. My goal will be to leave Vis attendees with an appreciation of the powerful discovery opportunities offered to scientists when visualization types developed by the InfoVis, SciVis, and VAST communities can be connected in the kind of flexible, linked-view high-dimensional visualization environment offered by glue.
description: Files included are Keynote slides (in .key and .pdf formats)
DOI: 10.7910/dvn/j4krbg
title: Replication Data for: "Who Pays for Government? Descriptive Representation and Exploitative Revenue Sources"

description: Contains .dta files and .do files to replicate all figures and tables in the manuscript and the online appendix.
DOI: 10.7910/dvn/jarrbb
title: Replication Data for: Strategic Coalitions and Agenda-Setting in Fragmented Congresses: How the PRI Sets the Legislative Agenda in Mexico

description: Replication Data for: "Strategic Coalitions and Agenda-Setting in Fragmented Congresses: How the PRI Sets the Legislative Agenda in Mexico" as published in BPSR, vol. 12, nº 2, 2018.
DOI: 10.7910/dvn/vlvnu7
title: VIBFREQ1295

description: Specifically, the VIBFREQ1295 database is provided as a csv file with each row containing specific information for the molecules in the database (e.g., total number of atoms and non-hydrogen atoms, and molecular classification), the experimental fundamental and calculated harmonic frequencies (with vibrational modes descriptions, symmetries, resolution, and references to the original publications), as well as references to the parent databases used in the development of VIBFREQ1295.

We also provide a PDF file detailing the acronyms in the csv file, as well as additional analysis supporting our findings described in the main manuscript.
DOI: 10.7910/dvn/4rqwxw
title: Replication Data for: The Organizational Voter: Support for New Parties in Young Democracies

description: How do voters come to support new political parties? This article contends that new types of locally organized, participant-based societal organizations—such as neighborhood associations, informal sector unions, and indigenous movements—can play a crucial mediating role in securing electoral support for new parties. Drawing on social identity and self-categorization theory, I argue that endorsements of new parties by such organizations sway the vote preferences of organization members and people in their larger social networks. A discrete choice experiment, presenting voters in Bolivia with campaign posters, demonstrates that organizational endorsements are highly effective in mobilizing voters, especially when voters face a new party. Endorsements can even counteract policy and ethnic differences between candidates and voters. The findings suggest an important, understudied route to partisan support in new democracies and have important implications for research on political accountability.
description: &lt;br&gt;
ERRATUM: An erratum was approved by AJPS Editors for this manuscript. The updated code file is included with this version of the published record. (2021-03-05)
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 Badge. Learn more about the Open Practice Badges from the Center for Open Science.<br>

<br>
ERRATUM<br>
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. (2021-03-05)
DOI: 10.7910/dvn/janxpq
title: Executive Agreements Database, Statement Concerning the Agreement with Kosovo Relating to the Employment Of Dependents Of Official Government Employees Effected By Exchange Of Notes Act Washington April 3 and 17, 2009 Entered Into Force April 17, 2009

description: KAV 8688 cover memo
DOI: 10.7910/dvn/jarus
title: House Unpassed Legislation 1847, Docket 1891, SC1/series 230, Petition of Moses Smith

description: &lt;p&gt;Petition subject: Secession from the Union &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11029583"&gt;http://nrs.harvard.edu/urn-3:FHCL:11029583&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Holden &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Samuel D. Greenwood, Holden; committee on the judiciary &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Moses Smith&lt;/li&gt;&lt;li&gt;Seth Clapp&lt;/li&gt;&lt;li&gt;Betsy Newton&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1847-03-04 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on March 4, 1847 and referred to the committee on the judiciary &lt;/p&gt; &lt;p&gt;Total signatures: 58 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 37 &lt;/p&gt; &lt;p&gt;Female signatures: 21 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, legal voters, [females], ["others"], ["ladies"] &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;Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1847, Docket 1891 &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/jb1dps
title: Radiation-Induced Lung Toxicity in Mice Irradiated in a Strong Magnetic Field - Mouse 59

description: Mouse 59: Irradiated 05/18/2016 Pre Scan: 05/17/2016 Post Scan: 10/04/2016
DOI: 10.15468/dl.xfuvvk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Archolaemus orientalis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025013-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ivkyie
title: Global Work-Injury Policy Database (GWIP)

description: The Global Work-Injury Policy Database (GWIP) provides data on the introduction and development of work-injury policy in 186 independent nation states. As of version 2, the database includes generosity and inclusivity scores for all countries in the year 2020. These scores are harmonized to match with the Social Insurance Entitlements Dataset (SIED).

The GWIP_long provides longitudinal data on 188 countries and the coverage and replacement rates or work-injury policy since the Industrial Revolution.

Work-injury policies were historically known as “workmen’s compensation”, "workman's compensation" and sometimes “accident insurance” among policymakers and scholars. The data include year of introduction of first laws, the types of laws, coverage of blue-collar workers and steps on the path to social insurance laws.
DOI: 10.5284/1088128
title: Images and Report from Archaeological Observation and Investigation at 20 Church Street, Rothersthorpe 2020

description: This collection comprises a Written Scheme of Investigation and 22 site photographs from archaeological observation, investigation, recording, analysis and publication works carried out by MOLA (Museum of London Archaeology) on land adjacent to Studleigh Cottage, 20 Church Street, Rothersthorpe, Northamptonshire in 2020.
DOI: 10.15468/dl.mr9fh5
title: Occurrence Download

description: A dataset containing 3038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Otospermophilus variegatus (Erxleben, 1777)",
 "Year 2020-2025"
 ]
}

 The dataset includes 3038 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010296-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzbbq5
title: Occurrence Download

description: A dataset containing 686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligiidae",
 "Year 2011-2013",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)"
 ]
}

 The dataset includes 686 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049827-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16962455
title: Data from "Bin Packing with Thresholds: Mathematical Models and Theoretical Results"

description: Data used in "Bin Packing with Thresholds: Mathematical Models and Theoretical Results"

Instance format is a follows:



Instance name : N{0}H{1}B{2}{3}-{4}.txt where:          - {0} = 50, 100, 200, 500, 750, 1000  (Number of items)          - {1} = 50, 100, 200, 500, 750, 1000  (Bin capacity)          - {2} = 5, 10, 20, 50, 100  (Expected number of items per bin)          - {3} = Rnd, Idc, Inv (type of thresholds, respectively: randomly assigned, identical, inverse)          - {4} = 0...4  (instance index)

First line (header) : C 1              where C is the bin capacity

Second line (header) : N            where N is number of items

One line per item as follows :  1 W T     where W is the item weight and T is the item thresholds