cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/uokrp
title: House Unpassed Legislation 1843, Docket 1289, SC1/series 230, Petition of Francis Jackson

description: &lt;p&gt;Petition subject: Request to use chamber &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11029535"&gt;http://nrs.harvard.edu/urn-3:FHCL:11029535&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: Samuel C. Allen, Northfield &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Francis Jackson&lt;/li&gt;&lt;li&gt;William Lloyd Garrison&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1843-01-10 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on January 10, 1843 and granted &lt;/p&gt; &lt;p&gt;Total signatures: 2 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, granted &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 2 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: Massachusetts Anti-Slavery Society, president, corresponding secretary &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;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Additional archivist notes: Massachusetts Anti-Slavery Society, hall, House of Representatives, annual meeting &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1843, Docket 1289 &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/6nv9g3
title: CCES 2020 Supplemental Data

description: Supplemental data files for the 2020 Cooperative Congressional Election Study. Datasets include the race and ethnicity of congressional candidates.
DOI: 10.7910/dvn/6pfbo0
title: Victoria Coastal Blue Carbon Sediment Dataset

description: This dataset contains sediment carbon density measurements and associated parameters from coastal "blue carbon" ecosystems in Victoria, Australia. The csv file contains the dataset and the txt file contains citation information and table column descriptions. Please see the related manuscript published in the journal Ecosystems (Ewers Lewis et al. 2018) for full methods details. These data were also used to identify drivers of sediment blue carbon stock variability and map blue carbon stocks to 30 cm deep across the state of Victoria, Australia (Ewers Lewis et al. 2020 Biogeosciences).
description: 'Blue carbon' ecosystems-seagrasses, tidal marshes , and mangroves-serve as dense carbon sinks important for reducing atmospheric greenhouse gas concentrations, yet only recently have stock estimates emerged. We sampled 96 blue carbon ecosystems across the Victorian coastline (southeast Australia) to quantify total sediment stocks, variability across spatial scales, and estimate emissions associated with historical ecosystem loss. Mean sediment organic carbon (C org) stock (±SE) to a depth of 30 cm was not significantly different between tidal marshes (87.1 ± 4.90 Mg C org ha-1) and mangroves (65.6 ± 4.17 Mg C org ha-1), but was significantly lower in seagrasses (24.3 ± 1.82 Mg C org ha-1). Location (defined as an individual meadow , marsh, or forest) had a stronger relationship with C org stock than catchment region, suggesting local-scale conditions drive variability of stocks more than regional-scale processes. We estimate over 2.90 million ± 199,000 Mg C org in the top 30 cm of blue carbon sediments in Victoria (53% in tidal marshes, 36% in seagrasses, and 11% in mangroves) and sequestration rates of 22,700 ± 5510 Mg C org year-1 (valued at over $AUD1 million ± 245,000 year-1 based on the average price of $AUD12.14 Mg CO 2 eq-1 at Australian Emissions Reduction Fund auctions). We estimate ecosystem loss since European settlement may equate to emissions as high as 4.83 million ± 358,000 Mg CO 2 equivalents (assuming 90% remineralization of stocks), 98% of which was associated with tidal marsh loss, and what would have been sequestering 9360 ± 2500 Mg C org year-1. This study is among the first to present a comprehensive comparison of sediment stocks across and within coastal blue carbon ecosystems. We estimate substantial and valuable carbon stocks associated with these ecosystems that have suffered considerable losses in the past and need protection into the future to maintain their role as carbon sinks.
DOI: 10.7910/dvn/8bfyqo
title: Replication Data for: Reducing exclusionary attitudes through interpersonal conversation: evidence from three field experiments

description: Unzip Replication Data.7z to view the replication data. The Experiment 1 replication data is in the Experiment 1 folder, and the Experiments 2 and 3 data are in the Experiments 2 and 3 folder. The .Rmd files contain the replication code and call the associated data files.
DOI: 10.7910/dvn/8lxkfn
title: Replication Data for "Mechanisms of defense policy diffusion in South America: evidence from the South American Defense Council"

description: Primary documents obtained from the UNASUR website before it went offline and used in the paper "Mechanisms of defense policy diffusion in South America: evidence from the South American Defense Council."
DOI: 10.7910/dvn/gh6rjr
title: KPC February 2006

description: Kibale Party Composition files from 2006-02-01 to 2006-02-28 include 31 files. Access to these files is restricted. Please contact Dr. Zarin Machanda (machanda@fas.harvard.edu) for permission.
DOI: 10.7910/dvn/uu2tgw
title: Accessibility of Open Textbooks

description: This dataset includes the results of an accessibility evaluation, based on a modified WCAG 2.1, of 355 randomly selected open textbooks. The data includes the name of the book, the URL of the book, the file format of the book, and how the book fared in 16 accessibility categories (pass, fail, no applicable).
DOI: 10.7910/dvn/6ogthl
title: Replication Data for: Racing the Clock: Using Response Time as a Proxy for Attentiveness on Self-Administered Surveys

description: Internet-based surveys have expanded public opinion data collection at the expense of monitoring respondent attentiveness, potentially compromising data quality. Researchers now have to evaluate attentiveness ex-post. We propose a new proxy for attentiveness -- response-time attentiveness clustering (RTAC) -- that uses dimension reduction and an unsupervised clustering algorithm to leverage variation in response time between respondents and across questions. We advance the literature theoretically arguing that the existing dichotomous classification of respondents as fast or attentive is insufficient and neglects slow and inattentive respondents. We validate our theoretical classification and empirical strategy against commonly used proxies for survey attentiveness. In contrast to other methods for capturing attentiveness, RTAC allows researchers to collect attentiveness data unobtrusively without sacrificing space on the survey instrument.

This replication package provides the data and analysis code for all the analysis on the paper.
description: Volume #, Issue #
DOI: 10.7910/dvn/mym5ob
title: Replication Data for: Measuring Agenda Setting in Interactive Political Communication

description: While strategies exist to measure actors' efforts to set policy, media, and lawmaking agendas, political scientists lack a method for identifying and accurately measuring another form of agenda setting that lies under the surface anytime two people talk. Within interactions, such as debates, deliberations, and discussions, actors can set the agenda by shifting others' attention to their preferred topics. In this article, I use a topic model that locates where topic shifts occur within an interaction in order to measure the relative agenda-setting power of actors (Nguyen et al. 2014). Validation exercises show that the model accurately identifies topic shifts and infers coherent topics. Three empirical applications also validate the agenda-setting measure within different political settings: US presidential debates, in-person deliberations, and online discussions. These applications show that successfully setting the agenda can shape an interaction's outcomes, demonstrating the importance of continued research on this form of agenda setting.
description: This dataset underwent an independent verification process that replicated the tables and figures in the primary article. Sections 4.1, 5.2, and 5.3 were granted exemptions from the verification process by AJPS Editors due to concerns for the privacy of the the respondents. 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>
DOI: 10.5258/soton/d3479
title: Dataset supporting the conference paper "Enabling efficient pure-NMOS circuits through adiabatic complementary pass-transistor logic"

description: Thin Film transistors are starting to become a promising material for flexible electronics as they are bendable. However, current TFT industry does not have efficient p-type transistors, and the utilization of NMOS logic leads to severe static energy consumption. Replacing NMOs logic with adiabatic logic which is pure-NMOS can be a promising solution, and the number of transistors can be reduced to a reasonable value with correct phase management.
DOI: 10.7910/dvn/gheaj9
title: Replication data for: Penalized Regression, Standard Errors, and Bayesian Lassos.
DOI: 10.17632/7ysnrrwn3f
title: Dates related to the research results presented in the article: A Novel Multi-Criteria AI Approach for Selecting Word Embedding Models to Personalize Rankings of Scholar Publications

description: Dataset Description for the Article:
"A Novel Multi-Criteria AI Approach for Selecting Word Embedding Models to Personalize Rankings of Scholar Publications"

This dataset contains the results of experiments described in the article, focusing on the personalization of scholarly publication rankings using text embedding models.

Contents of the CSV Files (32 in total):
Each file provides a ranked list of scholarly publications retrieved from the Scopus database, enriched with natural language processing (NLP) features.

Data Structure:
Standard Metadata Columns (from Scopus export):
These include typical bibliographic information such as:

Title, Authors, Year, DOI, Source title, Abstract, Keywords, Affiliations, Document Type, Cited by, and others.

Computed Columns (for experimentation):

combined_embeddings:
A list of numeric values representing the semantic embedding vector generated from the concatenated title and abstract of the publication.

distance_cosine:
The cosine distance between the publication’s embedding and a reference embedding (e.g., based on a user query).
Values range from 0 to 1, where lower values indicate higher semantic similarity.

Purpose and Use:
These data support the analysis and comparison of embedding models in the context of personalized scholarly recommendation. They also serve as reproducible material for the experiments presented in the paper.
DOI: 10.17632/7ysnrrwn3f.1
title: Dates related to the research results presented in the article: A Novel Multi-Criteria AI Approach for Selecting Word Embedding Models to Personalize Rankings of Scholar Publications

description: Dataset Description for the Article:
"A Novel Multi-Criteria AI Approach for Selecting Word Embedding Models to Personalize Rankings of Scholar Publications"

This dataset contains the results of experiments described in the article, focusing on the personalization of scholarly publication rankings using text embedding models.

Contents of the CSV Files (32 in total):
Each file provides a ranked list of scholarly publications retrieved from the Scopus database, enriched with natural language processing (NLP) features.

Data Structure:
Standard Metadata Columns (from Scopus export):
These include typical bibliographic information such as:

Title, Authors, Year, DOI, Source title, Abstract, Keywords, Affiliations, Document Type, Cited by, and others.

Computed Columns (for experimentation):

combined_embeddings:
A list of numeric values representing the semantic embedding vector generated from the concatenated title and abstract of the publication.

distance_cosine:
The cosine distance between the publication’s embedding and a reference embedding (e.g., based on a user query).
Values range from 0 to 1, where lower values indicate higher semantic similarity.

Purpose and Use:
These data support the analysis and comparison of embedding models in the context of personalized scholarly recommendation. They also serve as reproducible material for the experiments presented in the paper.
DOI: 10.7910/dvn/myfdgx
title: ONS LS Hamonisation Tables

description: Metadata for use with the Longitudinal Study of the Office for National Statistics. Provides time-harmonised tables for: economic activity, education, household and tenure across the 1971-2011 censuses. The tables include numeric variable encodings. (My conversion source code is available separately for Stata.)
description: Quality controlled by Sabrina Rowlatt (LS ONS) and CeLSIUS team.

Related to: https://www.ucl.ac.uk/infostudies/silva-php-resources/researchProjects/celsius/standalone/index.php
DOI: 10.7910/dvn/tec1zp
title: Replication Data for: Can Large Language Models (or Humans) Disentangle Text?

description: &lt;b&gt;Can Large Language Models (or Humans) Disentangle Text?&lt;/b&gt;
&lt;br&gt; &lt;br&gt; 
&lt;i&gt;Abstract:&lt;/i&gt; We investigate the potential of large language models (LLMs) to disentangle text variables—to remove the textual traces of an undesired forbidden variable in a task sometimes known as text distillation and closely related to the fairness in AI and causal inference literature. We employ a range of various LLM approaches in an attempt to disentangle text by identifying and removing information about a target variable while preserving other relevant signals. We show that in the strong test of removing sentiment, the statistical association between the processed text and sentiment is still detectable to machine learning classifiers post-LLM-disentanglement. Furthermore, we find that human annotators also struggle to disentangle sentiment while preserving other semantic content. This suggests there may be limited separability between concept variables in some text contexts, highlighting limitations of methods relying on text-level transformations and also raising questions about the robustness of disentanglement methods that achieve statistical independence in representation space if this is difficult for human coders operating on raw text to attain.
&lt;br&gt; &lt;br&gt; 
&lt;i&gt;Dataverse:&lt;/i&gt; This repository contains data from the human-coded and processed reviews.
&lt;br&gt; &lt;br&gt; 
&lt;i&gt;Paper link:&lt;/i&gt; 
&lt;a href="https://arxiv.org/abs/2403.16584"&gt;arXiv.org/abs/2403.16584&lt;/a&gt;
DOI: 10.7910/dvn/tm1vk1
title: High-Temperature Quantum Valley Hall Effect with Quantized Resistance and a Topological Switch

description: Data for "High-Temperature Quantum Valley Hall Effect with Quantized Resistance and a Topological Switch"
DOI: 10.7910/dvn/njkkhl
title: Replication data for: Presidential Control of High Courts in Latin America: A Long-Term View (1904-2006)

description: In many Latin American countries the executive branch manipulates the composition of the Supreme Court, and judicial independence has remained elusive. Because high courts can exercise judicial review and influence lower courts, incoming presidents often force the resignation of adversarial justices or “pack” the courts with friends. One indicator of this problem has been the high turnover among members of the high courts. In this paper we offer systematic evidence to compare this problem across countries and to place this issue in historical perspective. Our analysis covers 11 Latin American countries (Argentina, Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Honduras, Mexico, Panama, and Uruguay) between 1904 and 2006. We model the entrance of new justices to the Supreme Court as a function of “natural” (legal and biological) factors, political conditions empowering the president to reshuffle the Court, and institutional incentives promoting executive encroachment on the judiciary.
DOI: 10.7910/dvn/uodyah
title: A97_8622.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/0bb6efab-2a85-7a26-1468-3670508255b7'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/0bb6efab-2a85-7a26-1468-3670508255b7
DOI: 10.17632/xnh7bvj693
title: Tourism Supply Chain Management: A Comparative Bibliometric Study of Global Practices

description: Tourism Supply Chain Management: A Comparative Bibliometric Study of Global Practices Data
DOI: 10.17632/xnh7bvj693.1
title: Tourism Supply Chain Management: A Comparative Bibliometric Study of Global Practices

description: Tourism Supply Chain Management: A Comparative Bibliometric Study of Global Practices Data
DOI: 10.7910/dvn/tqstan
title: Airbnb data: Brazilian small towns listings

description: This dataset contains Airbnb listings of 23 small towns (less than 20k inhabitants mainly) from different regions in Brazil. It was collected in June 2019 through web-scrapping directly from the Airbnb site. The data includes the following information related to each listing: city, name of the accommodation, neighborhood or area, type of accommodation, guests capacity, number of bedrooms, host name, URL, price, number of reviews, date of first review and geographical coordinates.
DOI: 10.7910/dvn/unhymp
title: Replication Data for: Power and false negatives in Qualitative Comparative Analysis (QCA)

description: Files for reproducing figures and results in "Power and false negatives in Qualitative Comparative Analysis (QCA): Foundations, Simulation and Estimation for Empirical Studies"
description: Volume #, Issue #
DOI: 10.7910/dvn/za1cph
title: A98_9509b.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/bc1a9aed-410a-5a12-997e-e43a6d965173'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/bc1a9aed-410a-5a12-997e-e43a6d965173
DOI: 10.7910/dvn/sri9rb
title: Replication data for: Modeling Selection Bias in Studies of Sanctions Efficacy
DOI: 10.7910/dvn/uqaizi
title: Replication Data for: How to Elect More Women: Gender and Candidate Success in a Field Experiment

description: Women are dramatically underrepresented in legislative bodies, and most scholars agree that the greatest limiting factor is the lack of female candidates (supply). However, voters’ subconscious biases (demand) may also play a role, particularly among conservatives. We designed an original field experiment to test whether it is possible to increase women’s electoral success through political party leaders’ efforts to exogenously shock the supply of female candidates and/or voter demand for female representatives. The key experimental treatments involved messages from a state Republican Party chair to the leaders of 1,842 precinct-level caucus meetings. We find that party leaders’ efforts to stoke both supply and demand (and especially both together) increase the number of women elected as delegates to the statewide nominating convention. We then replicate this finding with a national sample of validated Republican primary election voters (N=2,897) using a vignette survey experiment. Our results suggest that simple interventions from party leaders can affect the behavior of candidates and voters and ultimately lead to a substantial increase in women’s electoral success.
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/6nuvvi
title: Improving genomic selection in hexaploid wheat with sub-genome additive and epistatic models

description: HapMap files of genotypes by sub-genome and BLUPs.
DOI: 10.7910/dvn/srpx7h
title: Executive Agreements Database, Statement Concerning the Agreement with Canada Amending The Softwood Lumber Agreement Of September 12, 2006, with Annexes. Signed At Ottawa October 12, 2006. Entered Into Force October 12, 2006.

description: KAV 8310 cover memo
DOI: 10.7910/dvn/6pxexq
title: Adoption of cassava improved modern varieties in the Cauca department in Colombia using DNA fingerprinting

description: This dataset provides a description of cassava farmers collected in the Colombian Cauca Department during 2014-2015. The survey was implemented using a structured questionnaire administered among 217 households, collecting data at both household and plot level. Survey information includes household socio-demographic characteristics, cassava management practices (e.g. improved variety and other input use, etc.) and cassava production and utilization. Additionally, it was collected crop samples for DNA fingerprinting. The dataset contains numeric, categorical and string variables.
DOI: 10.7910/dvn/tojzpz
title: Replication Data for: Language, Ethnicity and Separatism

description: Scholars often use language to proxy ethnic identity in studies of conflict and separatism. This conflation of language and ethnicity is misleading: language can cut across ethnic divides, and itself has a strong link to identity and social mobility. Language can therefore influence political preferences independently of ethnicity. Results from an original survey of two post-Soviet regions support these claims. Statistical analyses demonstrate that individuals fluent in a peripheral lingua franca are more likely to support separatism than those who are not, while individuals fluent in the language of the central state are less likely to support separatist outcomes. Moreover, linguistic fluency shows a stronger relationship with support for separatism than ethnic identification. These results provide strong evidence that scholars should disaggregate language and ethnic identity in their analyses: language can be more salient for political preferences than ethnicity, and the most salient languages may not even be ethnic.
DOI: 10.7910/dvn/8bthim
title: Churches North and South 2014 Clergy Study

description: Stata dataset and questionnaires from the 2014 Churches North and South Project, as described in the book Religion and Brazilian Democracy: Mobilizing the People of God, by Amy Erica Smith (2019, Cambridge University Press).
description: Smith, Amy Erica. 2019. Religion and Brazilian Democracy: Mobilizing the People of God. New York: Cambridge University Press.
DOI: 10.7910/dvn/tp3krs
title: A15_28992.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/681da055-f2fe-4451-833b-d31ce58b435b'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/681da055-f2fe-4451-833b-d31ce58b435b