cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/gho2w
title: Senate Unpassed Legislation 1841, Docket 10858, SC1/series 231, Petition of Thomas Macy

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:13481614"&gt;http://nrs.harvard.edu/urn-3:FHCL:13481614&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Nantucket &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: George Bradburn, Nantucket; committee on the subject thereof &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Thomas Macy&lt;/li&gt;&lt;li&gt;Daniel Jones&lt;/li&gt;&lt;li&gt;George Riddell&lt;/li&gt;&lt;li&gt;Nathaniel Barney&lt;/li&gt;&lt;li&gt;Edward Mitchell&lt;/li&gt;&lt;li&gt;Andrew Gardner&lt;/li&gt;&lt;li&gt;Edward Coleman&lt;/li&gt;&lt;li&gt;Isaac Austin&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1840-03-05,1840-03-05 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on March 5, 1840 and referred to the committee on the subject thereof and sent for concurrence and received in the Senate on March 5, 1840 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 41 &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): 41 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, ["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;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: Senate Unpassed 1841, Docket 10858 &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/hljrhj
title: Shan Household, Agriculture and Rural Economy: Household Survey – May-October 2018

description: The Shan Household, Agriculture and Rural Economy Survey (SHARES) was implemented from June to October 2018. SHARES was comprised of household and community components, designed to produce a detailed picture of livelihoods, farming systems and the rural economy in southern Shan, and the dynamics of recent changes in each of these areas. Particular attention was paid to production of maize and pigeon pea - two of the main commercial crops grown in this area. The surveys were designed to address four key research questions. (1) How has the welfare of rural households in South Shan been affected by the introduction of hybrid maize? (2) What factors have facilitated agricultural commercialization, diversification and, specialization, and how have these processed affected incomes, food security and resilience? (3) How do conflict, infrastructure development, trade policies and agricultural commercialization interact? (4) What practices could improve the performance of maize and pigeon pea farmers? For the household component of the survey, a total 1563 households were interviewed in 99 enumeration areas in 9 townships in southern Shan, representing a population of 201,285. Enumeration areas were selected by a stratified two-stage sampling. Areas with known security issues or no maize/pigeon pea cultivation were excluded. The Department of Population drew a systematic sample of Enumeration Areas (EA) with probability proportional to size, using the sample frame of national census. The household survey instrument include modules on the following: non-farm employment; migration; assets & housing; land; agriculture; maize and pigeon pea cultivation; agricultural machinery use, credit; consumption. 

The SHARES community component covered 323 villages in 12 townships in Southern Shan. Ninety-nine of the selected villages overlapped with the enumeration areas selected for inclusion in the SHARES household survey. The remaining 224 community survey villages were selected randomly with probability proportional to size. Community questionnaires were administered during group interviews. The survey instrument focused on capturing multi-year recall data on key community characteristics, and was divided into modules covering population, physical and social infrastructure, crop cultivation patterns, agricultural wages and migration, number and type of rural enterprises, access to credit, perceptions of climate change, and experience of conflict. This approach was adopted to gain insights into changes occurring within the rural economy at the ‘landscape’ level that would complement ‘micro’ level data from the household survey.
description: Funding for data collection and analysis was generously provided by USAID Burma and the Livelihoods and Food Security Trust (LIFT) Fund. USAID Burma: AID-482-LA-14-00003. LIFT Myanmar: R 1.4/029/2014
DOI: 10.7910/dvn/jvlfkx
title: CCES 2016, Team Module of University of Missouri (UMO)

description: This dataverse contains the data and supporting documents for the CCES 2016 University of Missouri. This project was supported by the National Science Foundation, Grant Number SES-1559125.
DOI: 10.7910/dvn/kf5jc5
title: Replication Data for: Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives

description: The dataset is first introduced in the following paper:
&lt;br&gt;
Siqi Wu and Paul Resnick. &lt;a href="https://avalanchesiqi.github.io/files/icwsm2021crosstalk.pdf" target="_blank"&gt;&lt;b&gt;Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives&lt;/b&gt;&lt;/a&gt;. In AAAI International Conference on Weblogs and Social Media (ICWSM), 2021.
&lt;br&gt;
&lt;br&gt;
&lt;b&gt; us_partisan.csv &lt;/b&gt;
&lt;br&gt;
Metadata for 1,267 US partisan media on YouTube. The first row is header. Fields include "title, url, channel_title, channel_id, leaning, type, source, channel_description"
&lt;br&gt;
&lt;br&gt;
&lt;b&gt; video_meta.csv &lt;/b&gt;
&lt;br&gt;
Metadata for 274241 YouTube political videos from US partisan media. The first row is header. Fields include "video_id, channel_id, media_leaning, media_type, num_view, num_comment, num_cmt_from_liberal, num_cmt_from_conservative, num_cmt_from_unknown"
&lt;br&gt;
&lt;br&gt;
&lt;b&gt; user_comment_meta.csv.bz2 &lt;/b&gt;
&lt;br&gt;
Metadata for 9,304,653 YouTube users who have commented on YouTube political videos. The first row is header. Fields include "hashed_user_id, predicted_user_leaning, num_comment, num_cmt_on_left, num_cmt_on_right"
&lt;br&gt;
&lt;br&gt;
&lt;b&gt; user_comment_trace.tsv.bz2 &lt;/b&gt;
&lt;br&gt;
Comment trace for 9,304,653 YouTube users who have commented on YouTube political videos. The first row is header. Fields include "hashed_user_id predicted_user_leaning comment_trace" (split by \t)
"comment_trace" consists of 
"channel_id1,num_comment_on_this_channel1;channel_id2,num_comment_on_this_channel2;..." (split by ;)
&lt;br&gt;
&lt;br&gt;
&lt;b&gt; trained_HAN_models.tar.bz2 &lt;/b&gt;
&lt;br&gt;
Five trained HAN models for predicting user political leanings. Each model consists a ".h5" model file and ".tokenizer" tokenizer file. See &lt;a href="https://github.com/avalanchesiqi/youtube-crosstalk/blob/main/hnatt/README.md" target="_blank"&gt;this&lt;/a&gt; for how to use our pre-trained HAN models.
&lt;br&gt;
&lt;br&gt;
See more details in this &lt;a href="https://github.com/avalanchesiqi/youtube-crosstalk/tree/master/data" target="_blank"&gt;data description&lt;/a&gt;.
DOI: 10.7910/dvn/l6uqsc
title: Uganda (2012): TRaC study measuring perceptions about IUDs among women of reproductive age in Uganda. Round 2.

description: According to the UDHS 2011, Ugandan women have a total fertility rate of 6.2 children but 34% of married women have an unmet need for family planning with 21% in need of spacing and 14% in need of limiting. Only 30% of women use contraceptives with only 0.4% using IUDs despite the unmet needs. Uganda also has a high maternal mortality ratio (435 deaths per 100,000 live births) with 13% of these deaths occurring during pregnancy, at birth or within two months of delivery. Since 2008. PACE has been implementing the Women's Health Program to promote use of IUDs. Therefore PACE aims to examine the effect of PACE communications on perceptions towards IUDs. This is a follow up cross sectional survey using structured face to face interviews among women of reproductive age. The survey will compare the target groups perceptions towards IUDs between 2010 and 2012.
DOI: 10.7910/dvn/ldxftd
title: A93_5599.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/9c76bd24-8d33-c035-c732-9e1b564d37ae'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/9c76bd24-8d33-c035-c732-9e1b564d37ae
DOI: 10.7910/dvn/qiuhro
title: Pakistan Cotton Survey 2013, Round 1.2

description: &lt;p&gt;The dataset "Pakistan Cotton Survey 2013, Round 1.2" was collected to inform the research study that examines the efficiency of markets for cotton seed in Pakistan with particular emphasis on the market for genetically modified cotton seed embodying insect-resistance traits from the soil bacterium Bacillus thurigiensis (Bt) that have been conferred through genetic modification. &lt;/p&gt;
&lt;p&gt; The survey was designed by the International Food Policy Research Institute (IFPRI) and implemented by Innovative Development Studies (IDS). It collected data related to input use and pesticide poisoning symptoms up to the first picking of cotton. Round 1.2 was implemented between September-November in 2013, during or immediately following the first picking. Data were collected from the households sampled in Round 1.1. Of the original sample of 728 households, 46 chose not to grow cotton in kharif 2013, 70 lost their crops to flood or other natural disasters, four migrated and eight dropped out in the second- or third-round surveys. &lt;/p&gt;
description: Household- and Community-level Surveys
description: STATA , 14
DOI: 10.7910/dvn/qj8va1
title: Replication data for: Lockdowns and Innovation: Evidence from the 1918 Flu Pandemic

description: Does social distancing harm innovation? We estimate the effect of non-pharmaceutical interventions (NPIs)—policies that restrict interactions in an attempt to slow the spread of disease—on local invention. We construct a panel of issued patents and NPIs adopted by 50 large US cities during the 1918 flu pandemic. Difference-in-differences estimates show that cities adopting longer NPIs did not experience a decline in patenting during the pandemic relative to short-NPI cities, and recorded higher patenting afterward. Rather than reduce local invention by restricting localized knowledge spillovers, NPIs adopted during the pandemic may have preserved other inventive factors.
description: Volume XX, Issue X
DOI: 10.7910/dvn/vpge7f
title: Replication Data for: Persuading voters to punish corrupt vote-buying candidates: Experimental evidence from a large-scale radio campaign in India

description: The replication data files create the results reported in Schechter, Laura, & Vasudevan, Srinivasan, Vasudevan. (2022). "Persuading voters to punish corrupt vote-buying candidates: Experimental evidence from a large-scale radio campaign in India," Journal of Development Economics. (https://doi.org/10.1016/j.jdeveco.2022.102976)
The data and code are organized in the following folders: 
1. Raw Data: This folder contains the sample data, electoral/administrative data, journalist survey data, and the voter survey data.
2. master.do runs all the do-file in Sub-DoFiles which create the datasets necessary for analysis from the raw datasets
3. Analysis Data: Holds all the intermediate files created by master.do
4. Every other folder contains the do-file or .m file to create the table corresponding to its name.
DOI: 10.7910/dvn/44edzw
title: Replication data for: "Valid Two-Step Identification-Robust Confidence Sets for GMM"

description: Replication data for: "Valid Two-Step Identification-Robust Confidence Sets for GMM"
description: Volume XX, Issue X
DOI: 10.7910/dvn/cohaxg
title: Impact of asymmetries on fuel performance in Inertial Confinement Fusion

description: Low-mode asymmetries prevent effective compression, confinement and heating of the fuel in inertial confinement fusion (ICF) implosions and their control is essential to achieving ignition. Ion temperatures (Tion) in ICF experiments are inferred from the broadening of primary neutron spectra. Directional motion (flow) of the fuel at burn also impacts broadening and will lead to artificially inflated “Tion” values. Flow due to low-mode asymmetries is expected to give rise to line-of-sight variations in measured Tion. We report on intentionally asymmetrically driven experiments at the OMEGA laser facility designed to test the ability to accurately predict and measure line-of-sight differences in apparent Tion due to low-mode asymmetry-seeded flows. Contrasted to Chimera and xRAGE simulations, the measurements demonstrate how all asymmetry seeds have to be considered to fully capture the flow field in an implosion. In particular, flow induced by the stalk that holds the target is found to interfere with the seeded asymmetry. A substantial stalk-seeded asymmetry in the areal density of the implosion is also observed.
description: PSFC REPORT PSFC/JA-18-28<br><br>This material is based upon work supported by the Department of Energy, National Nuclear Security Administration under Award Number DE-NA0002949, by the National Laser Users’ Facility under award number DE-NA0002726, by LLE under award number 415935-G, and by Los Alamos National Laboratory operated by Los Alamos National Security, LLC for the U.S. Department of Energy NNSA under Contract No. DE-AC52-06NA25396. This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.
DOI: 10.7910/dvn/csobok
title: A11_19231.JPG

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/28fcc7ab-9aff-47d5-9a47-c611533ae3a1'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/28fcc7ab-9aff-47d5-9a47-c611533ae3a1
DOI: 10.7910/dvn/f7szmg
title: The Spread of AI-Generated Misinformation

description: In today's digital world, information flows freely and endlessly across borders and platforms. While this connectivity has empowered the spread of ideas, it has also enabled the propagation of misleading claims that can erode truth and trust. A new threat has emerged from the rising tide of artificial intelligence, as generative models allow the industrial-scale production of synthetic yet sophisticated content. Like a flood, AI-generated misinformation and disinformation threaten to drown the foundations of an informed society under a deluge of falsity. We must acknowledge that this flood was not unforeseen, but the inevitable result of careless development and deployment without adequate responsibility or wisdom. The creators of these powerful tools failed to consider their darker applications and the need to establish guardrails against abuse. Now the waters rage largely unchecked, with platforms struggling to stem the current and individuals left floundering in murky confusion. While regulation and moderation have roles, the solution lies deeper - in taking ownership of our technological progress and prioritizing integrity over expediency. The tide will not recede through reaction alone but requires a turn toward proactive responsibility. Developers must recognize their ethical duty to envision misuse and implement safeguards that do not compromise functionality but uphold reliability. Platforms must find transparency and educate users to bolster critical thinking against manipulation. Individuals too have a part, in media literacy and willingness to reconsider preconceptions in the face of contradictory evidence. We must shore up our foundations with truth and wisdom before the coming storm. This thesis aims to survey the rising floodwaters and assess our defenses. It will define the concepts of misinformation and disinformation, differentiating falsehood by intent. It will examine how generative AI enables the mass production of synthetic content, from deepfakes to persuasive text, and the realistic yet misleading material this facilitates. Detection methods will be explored, considering techniques from fact-checking to provenance analysis. Platform policies and individual responsibilities will also be evaluated. Through rigorous analysis this work seeks to bring clarity and responsibility to the issue. It aims to neither deny technological progress nor dismiss risk, but navigate a balanced path between the two. Ultimately it calls us to rise above reaction and embrace foresight, prioritizing integrity over convenience in both creation and consumption of information. The tide of falsity grows swiftly, but with wisdom and courage, we can establish bulwarks of truth to withstand the coming flood. By understanding the challenges and cooperating constructively, our society can emerge from this trial with foundations reinforced rather than eroded. The time to prepare is now, before the deluge.
DOI: 10.7910/dvn/jvoufn
title: Replication Data for: The spread of COVID-19 conspiracy theories on social media and the effect of content moderation

description: This dataset provides data and python code to replicate the findings of the study "The spread of COVID-19 conspiracy theories on social media and the effect of content moderation" by Orestis Papakyriakopoulos, Juan Carlos Medina Serrano, Simon Hegelich.

We provide anonymized data according to the EU General Data Protection Regulation and the Technical University of Munich privacy policy.

Caution: Because we made changes during the review process, some figures and coding labels deviate from the ones in the final version of the paper. These changes do not alter the findings of the study.
description: The code was created on google collaboratory. Please modify input files and ipython notebook accordingly, in order to run the analysis on your computer.

In the dataset you can find following:

- a set of .csv and .pickle files, which contain the input data
- complementary_code_covid.ipynb, which contains the python code
- sample_urls.xlsx, a file containing the intercoder reliability analysis
DOI: 10.7910/dvn/l1ks3q
title: Thailand (2014): Female transgender in Pattaya: Age category based social relations, and pathways through the HIV testing, care and treatment cascade

description: PSI/Thailand is implementing a program targeting transgender women in Pattaya. The program aims to promote safer sex and HIV testing and care through peer education and drop in centers and increase access to and availability of condoms and water-based lubricant through a high coverage social marketing strategy. 

PSI/Thailand has very little understanding of what happens to TG women after they test positive for HIV. The study investigates at what point TG are lost within the prevention, care and treatment cascade and why. This includes a detailed understanding of barriers to HCT uptake and common responses to diagnosis, and how and where services are accessed.

The study employs a qualitative research method to generate narratives from TG respondents and key informants.
DOI: 10.7910/dvn/n52h3m
title: Replication Data for: Jonathan P. Kastellec and Jeffrey R. Lax. 2008. "Case Selection and the Study of Judicial Politics." Journal of Empirical Legal Studies. 5(3): 407-446.

description: This dataverse contains data and code to replicate the results in: Jonathan P. Kastellec and Jeffrey R. Lax. 2008. "Case Selection and the Study of Judicial Politics." Journal of Empirical Legal Studies. 5(3): 407-446.
DOI: 10.7910/dvn/wteic
title: Massachusetts Archives Collection. v.105-Petitions, 1643-1775. SC1/series 45X, Petition of Nathaniel Loring

description: &lt;p&gt;Petition: Support for individuals &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13909065"&gt;http://nrs.harvard.edu/urn-3:FHCL:13909065&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1722-07-30 &lt;/p&gt; &lt;p&gt;Petition location: Boston &lt;/p&gt; &lt;p&gt;Top signatures:&lt;ol&gt;&lt;li&gt;Nathaniel Loring&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Total signatures: 1 &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 1 &lt;/p&gt; &lt;p&gt;Identifications of signatories: shopkeeper &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Pri
nting"&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 archivist notes: Mary Ricks, Mary Rix, widow, goal &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 Harv
ard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/wv2mjy
title: Wright Files I-Z Edited; Docketed Case: 24643