cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/lwilne
title: H41a cubes and post-processing products

description: We make available FITS images of: 

- The image cubes containing the hydrogen and helium 41alpha lines, prior to primary-beam correction: "FIELD_B3_spw1_12M_h41a.JvM.image.contsub.fits". 

- The regridded free-free estimation for each protocluster at the standard ALMA-IMF "cleanest" continuum frequencies of 98.5 and 224.5 GHz. The filenames start with the basename "FIELD_B3_spw1_12M_h41a.JvM.image.contsub", which is standard naming within the ALMA-IMF data reduction pipeline see (Ginsburg et al. 2022). Then are followed by ".m0.ffXXX.XGHz_Y.Ysigma.regr", which denotes the fact that they are obtained from a moment 0 map, the frequency of the calculation, the threshold in the moment 0 map, and the applied regridding. Finally, the filenames end with either ".pbcor.fits" or just with ".fits" depending on whether primary-beam correction is applied or not at the end of the procedure. 

- The error of the free-free estimation. Following the same nomenclature as above but with ".err" in the filename. 

- The "cleanest" continuum image from the release of Ginsburg et al. (2022), convolved to the beamsize of the H41alpha cube. The filename is the same as in the ALMA-IMF data release, but ending with .conv.fits. 

- An estimate of pure dust continuum emission, from the subtraction of the continuum maps minus the free-free estimation, with and without PB correction. The basename of these estimation images of pure-dust is the same as for the original continuum images, but ending with ".conv.ffsub_Y.Ysigma.fits.
DOI: 10.7910/dvn/zlhpfp
title: Daily weather data for Sapu Central river (Gambia) from 2013 to 2019

description: Daily weather data owned or distributed by AfricaRice and available on &lt;a href="http://www.mlaxmel.com/weatherdata/query.php"&gt; http://www.mlaxmel.com/weatherdata/query.php &lt;/a&gt;
DOI: 10.7910/dvn/3oupks
title: Survey seed production and seed contract

description: The data is collected as part of a seed contract experiment conducted in Telengana state, India
DOI: 10.7910/dvn/otl0lm
title: KenSwQuAD – A Question Answering Dataset for Swahili Low Resource Language

description: This research developed a Kencorpus Swahili Question Answering Dataset KenSwQuAD from raw data of Swahili language, which is a low resource language predominantly spoken in Eastern African and also has speakers in other parts of the world. Question Answering datasets are important for machine comprehension of natural language processing tasks such as internet search and dialog systems. However, before such machine learning systems can perform these tasks, they need training data such as the gold standard Question Answering (QA) set developed in this research. The research engaged annotators to formulate question answer pairs from Swahili texts that had been collected by the Kencorpus project, a Kenyan languages corpus that collected data from three Kenyan languages. The total Swahili data collection had 2,585 texts, out of which we annotated 1,445 story texts with at least 5 QA pairs each, resulting into a final dataset of 7,526 QA pairs. A quality assurance set of 12.5% of the annotated texts was subjected to re-evaluation by different annotators who confirmed that the QA pairs were all correctly annotated. A proof of concept on applying the set to machine learning on the question answering task confirmed that the dataset can be used for such practical tasks. The research therefore developed KenSwQuAD, a question-answer dataset for Swahili that is useful to the natural language processing community who need training and gold standard sets for their machine learning applications. The research also contributed to the resourcing of the Swahili language which is important for communication around the globe. Updating this set and providing similar sets for other low resource languages is an important research area that is worthy of further research.
&lt;br&gt;
Acknowledgement of annotators:
&lt;br&gt;
Rose Felynix Nyaboke, Alice Gachachi Muchemi, Patrick Ndung'u, Eric Omundi Magutu, Henry Masinde, Naomi Muthoni Gitau, Mark Bwire Erusmo, Victor Orembe Wandera, Frankline Owino, Geoffrey Sagwe Ombui
DOI: 10.7910/dvn/ouwfbx
title: Replication Data for: Ultra-Processed Food Consumption Is Related to Higher Trans Fatty Acids, Sugar Intake and Micronutrient-Impaired Status in Schoolchildren of Bahia, Brazil

description: This is the dataset that supported the manuscript published at Nutrients (2023) which aimed to describe the characteristics of food consump-tion in terms of processing level and nutrient intake, anthropometric measurements and serum concentrations of ferritin, hemoglobin, components of lipid profile, blood glucose, and vitamins D and B12 of students from rural and urban public schools in Bahia, Brazil. 
Students regularly enrolled in the municipal public school system of the northeast of Bahia, Brazil, in the years 2019 and 2020, including rural and urban areas, were invited to participate. Individuals aged between 5 and 19 years were considered eligible, resulting in a sample of 190 randomly selected individuals.
Clinical demographic, dietary, laboratory, and anthropometric information were included. A face-to-face interview was carried out, guided by a previously structured ques-tionnaire containing questions about the individual’s clinical history, the validated 24 h recall instrument was used, blood samples were collected in fasting and nutritional status was classified using the Body Mass Index (BMI) for Age (BMI/A).
DOI: 10.7910/dvn/r458hq
title: A16_30438.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/a39b64c5-32a0-4525-a17a-8a6fc66f17f4'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/a39b64c5-32a0-4525-a17a-8a6fc66f17f4
DOI: 10.7910/dvn/syokzw
title: Replication Data for: "Who gets what -- and how efficiently? Assessing the spatial allocation of public goods"

description: Data set and their command files for the analysis presented in the manuscript, "Who gets what -- and how efficiently? Assessing the spatial allocation of public goods." An Explanatory Memo and log file are also provided.
DOI: 10.7910/dvn/zlnsyn
title: CCES 2018, Team Module of Harvard University (HUA and HUB)

description: This dataverse contains the data and supporting documents for the CCES 2018 Harvard University team module. This project was supported by the National Science Foundation, Grant Number SES-1756447.
DOI: 10.7910/dvn/lwi2de
title: ROMS simulations at the ADCP locations in the western BoB: Jithin et al (2019)

description: Model simulations at the ADCP locations on the continental margins of the western Bay of Bengal.
DOI: 10.7910/dvn/o0gkqk
title: Distributive Conflict and Regime Change: A Qualitative Dataset
DOI: 10.7910/dvn/sitgao
title: Taxonomic Composition of Microbial Microenvironments

description: Taxonomic Composition of Microbial Microenvironments
16s, Illumina MiSeq
DOI: 10.7910/dvn/szuqj
title: Passed Acts; St. 1861, c.91, SC1/series 229, Petition of Edward S. Rand

description: &lt;p&gt;Petition subject: For the repeal of the personal liberty laws &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:10668895"&gt;http://nrs.harvard.edu/urn-3:FHCL:10668895&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Newburyport &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Frederick J. Coffin, Newburyport &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Edward S. Rand&lt;/li&gt;&lt;li&gt;Henry Perkins&lt;/li&gt;&lt;li&gt;Albert Currier&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1861-01-21,1861-01-22 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on January 21, 1861 and referred to the committee on the personal liberty laws and received in the Senate on January 22, 1861 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 850 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, received, concurred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 850 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: legal voters &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: additional documents available &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: St. 1861, c.91, passed March 25, 1861 &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/x8qjjv
title: Corpus of North American Spoken English
title: v. 1.3

description: The Corpus of North American Spoken English (CoNASE) is a 1.25-billion-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from the United States and Canada, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, including their geographical distribution, in North American English. The size of the corpus allows rare phenomena to be considered, and because the annotation includes the video IDs of transcripts, search hits can be manually inspected and video or audio data can be accessed. As the starting point of a scripting pipeline, the corpus can also be used for large-scale acoustic analyses of North American speech.

The corpus was created from 301,846 ASR transcripts from 2,572 YouTube channels, corresponding to 154,041 hours of video. The size of the corpus is 1,294,885,016 word tokens. The channels sampled in the corpus are associated with local government entities such as town, city, or county boards and councils, school or utility districts, regional authorities such as provincial or territorial governments, or other governmental organizations. The transcripts are primarily of recordings of public meetings, although other genres are also present. Video transcripts have been assigned exact latitude-longitude coordinates using a geocoding script.
description: The untagged corpus is contained in the file conase_pos_distributable_a.csv.gz. The PoS-tagged corpus with word timings is split into the files conase_pos_distributable_a.aa, conase_pos_distributable_a.ab, and conase_pos_distributable_a.ac. 
To join the three PoS-tagged files, download them to an empty directory and run (for example in Linux) <code>cat conase_pos* &gt; conase_pos_full.tar.gz</code>. The resulting file is a data frame with the columns 'country', 'state', 'channel_title', 'video_title', 'video_id', 'name', 'type', 'channel_id', 'channel_username', 'video_length', 'location', 'address', 'nr_words', 'text_pos' (or 'text', in the untagged version), and 'latlong'. The separator is the pipe character "|". Each row corresponds to an individual transcript.

In order to comply with Fair Use provisions of US copyright law, the original ASR transcript files from YouTube have been transformed in this version of the corpus: Every 200 words, ten words have been replaced with "@". In the PoS-tagged and word-timed corpus, these tokens have the form @_XX_1.0.

V4 (v. 1.2) corrects the latitude-longitude location for Manitowoc, WI.
V5 (v. 1.3) corrects location information for the Vermont Association of Conservation Districts. 

See also https://cc.oulu.fi/~scoats/CoNASE.html
DOI: 10.7910/dvn/znbvkz
title: Replication Data for: "Disaggregating Asian American and Pacific Islander Risk of Fatal Police Violence"

description: This is the final imputed list of API decedents used to calculate rates of fatal police violence experienced by Asian American & Pacific Islander subgroups (2013-2019) in "Disaggregating Asian American and Pacific Islander Risk of Fatal Police Violence" (Schwartz & Jahn, PLOS One 2022). Data include the national/ethnic or regional background of decedents, as well as IDs to link these files to the original source data (Fatal Encounters, or via their Fatal Encounters identifier, Mapping Police Violence). We also provide information on how participants' backgrounds were identified; for more detail, see the published version of the paper referenced above.
DOI: 10.7910/dvn/ovlsou
title: Replication Data and Codes for: The Art of the Deal: Deciphering the Endowment Effect from Traders’ Eyes

description: Data and codes related to the manuscript titled “The Art of the Deal: Deciphering the Endowment Effect from Traders’ Eyes” by Feng Sheng, Ruining Wang, Zexian Liang, Xiaoyi Wang, Michael L. Platt.
DOI: 10.7910/dvn/syusy8
title: Interactive toolkit for crop wild relative conservation planning - version 1

description: The Interactive Toolkit for Crop Wild Relative Conservation Planning is designed to provide guidance to plan and implement active in situ and ex situ conservation of CWR at national level. The conservation recommendations that result from this national CWR conservation planning process are used to develop National Strategic Action Plans (NSAP) (or National Strategies) for the conservation and sustainable use of CWR. The interactive online version of the toolkit is available at: http://www.cropwildrelatives.org/conservation-toolkit/
DOI: 10.7910/dvn/zt3epq
title: Wright Casebook Edited; Docketed Case: 17,798
DOI: 10.7910/dvn/p9qa4g
title: Well-being - theatre therapy, self-esteem and confidence

description: This dataset comprises data for meta-analysis of the impact theatre interventions have on self-confidence and self-esteem
DOI: 10.7910/dvn/sqfqep
title: A15_27230.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/75cc4620-ea03-4dce-95c3-82f8592310c5'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/75cc4620-ea03-4dce-95c3-82f8592310c5
DOI: 10.7910/dvn/wkokhf
title: The Standardized World Income Inequality Database v1-v7
title: For reference only; please use current version.

description: Cross-national research on the causes and consequences of income inequality has been hindered by the limitations of existing inequality datasets: greater coverage across countries and over time is available from these sources only at the cost of significantly reduced comparability across observations. The goal of the Standardized World Income Inequality Database (SWIID) is to overcome these limitations. A custom missing-data algorithm was used to standardize the United Nations University's World Income Inequality Database and data from other sources; data collected by the Luxembourg Income Study served as the standard. The SWIID provides comparable Gini indices of gross and net income inequality for 192 countries for as many years as possible from 1960 to the present along with estimates of uncertainty in these statistics. By maximizing comparability for the largest possible sample of countries and years, the SWIID is better suited to broadly cross-national research on income inequality than previously available sources: it offers coverage double that of the next largest income inequality dataset, and its record of comparability is three to eight times better than those of alternate datasets. 
&lt;br /&gt;&lt;br /&gt; &lt;b&gt;In any papers or publications that use the SWIID, authors are asked to cite the article of record for the data set and give the version number as follows&lt;/b&gt;:&lt;br /&gt; Solt, Frederick. 2016. "The Standardized World Income Inequality Database." Social Science Quarterly 97(5):1267-1281. SWIID Version 7.1, August 2018.
DOI: 10.7910/dvn/sku2lg
title: Replication Data for: Seniority and ideological proximity? A longitudinal analysis of the appointment of party group coordinators in the European Parliament

description: Replication data and syntax for 'Seniority and ideological proximity? A longitudinal analysis of the appointment of party group coordinators in the European Parliament’, Journal of Common Market Studies, 2024, 62(1): 127-141.
DOI: 10.7910/dvn/t46anr
title: Replication Data for the manuscript "Using an ensemble of artificial neural networks to convert snow depth to snow water equivalent over Canada" submitted to HESS

description: This dataset contains most of the snow measurement data and meteorological data available across Canada and needed to replicate the study by Ntokas et al. (2020) and submitted to HESS. 

Important notes: Data from the Ministère du Développement durable, de l’Environnement et des Parcs (MELCC) of the province of Québec is freely available for university research, but to have access to it you will need to fill out a short form explaining the purpose of your research. This form presents the terms of use of its data and it also allows the MELCC to gather statistics on the usage of its data. 

The entire dataset includes the data from all governmental partners, BUT excludes that from private companies, as we do not have permission to share it. It is already formatted to facilitate its use with our codes. The later are also available upon request, on GitHub (https://github.com/konstntokas/Hydrology_ANN_SD2SWE) (2020-10-28)
DOI: 10.7910/dvn/zmz5rd
title: Northwestern University Data Management Survey

description: Introductory text and questions for a digital data management survey distributed by the Northwestern University E-Science Working Group in January – February 2014. The survey was distributed by email link to faculty, staff, students and research fellows at the university in all fields of study.
DOI: 10.7910/dvn/640wkz
title: Effectiveness Evaluation Of First Phase Integrated Chronic Care Model To Improve Prevention, Care And Support For People Living With HIV In Côte D'ivoire

description: De-identified Stata datasets and SAS code files used to publish the report to 3ie on the project, "Effectiveness Evaluation Of First Phase Integrated Chronic Care Model To Improve Prevention, Care And Support For People Living With HIV In Côte D'ivoire" (project code TW7.06). This project was funded under Thematic Window 7 on integrated HIV services.
description: Despite our best efforts in working with the authors, 3ie could not replicate the results from this study. Any comments or queries regarding data or codes should be directed to the principal investigator, Stacie Sender at Stacie.Stender@jhpiego.org.
DOI: 10.7910/dvn/kzwown
title: The Economics and Psychology of Long-term Savings and Pensions: A Randomized Experiment Among Low-income Entrepreneurs in Maharashtra, India

description: The title of the project was: The Economics and Psychology of Long-term Savings and Pensions: A Randomized Experiment Among Low-income Entrepreneurs in Maharashtra, India
DOI: 10.7910/dvn/ovsonu
title: Replication Data for: The Sound of Rebellion: Voting Dissent and Legislative Speech in the UK House of Commons

description: These files allow for the replication of numerical results and graphical presentation of those results reported in our manuscript "The Sound of Rebellion: Voting Dissent and Legislative Speech in the UK House of Commons."
DOI: 10.7910/dvn/sszl6u
title: Replication Data for: The “Sandwich Generation” Revisited: Global Demographic Drivers of Care Time Demands

description: SOCSIM simulation outputs (opop) files used for analysis. SOCSIM outputs were produced using the UC Berkeley server. Each file represents one simulated country population. The scripts to analyze the data are in https://github.com/alburezg/sandwich_clean.
description: SOCSIM, socsimGS (custom version written by Carl Mason)
DOI: 10.7910/dvn/zlrvjm
title: Replication Data for the Demographic Change Example in Chapter 2 of Spatial Analysis for the Social Sciences

description: Replication data for the demographic change example in Chapter 2 of Spatial Analysis for the Social Sciences.
DOI: 10.7910/dvn/ztd2qo
title: Data for Experiment in "High economic inequality leads higher-income individuals to be less generous"

description: These are the data for the experiment (i.e., the second study) reported in "High economic inequality leads higher-income individuals to be less generous" co-authored with Julian House and Robb Willer. 

Please open the "readme" file first.

The questionnaire and SAS code to conduct the analyses are also stored here.
DOI: 10.7910/dvn/he3to8
title: Replication Data for: Citizens’ Aversion to Pay Raises for Politicians: The Risk of Self-Interest Matter More Than the Promise of Competence

description: Article abstract: Citizens value competence in politicians. However, while offering high pay is a key strategy when recruiting competent candidates in the job market, most citizens are highly averse to paying politicians higher salaries. We argue that this aversion arises from one fundamental concern among citizens: self-interested politicians. Using data from a large-scale preregistered survey experiment, we show that citizens are affected by the argument that higher salaries may attract self-interested politicians, whereas they are not affected by the argument that higher salaries will attract competent politicians. Surprisingly, the more positively citizens view politicians, the more they are affected by the argument about self-interested politicians. These results suggest that citizens may view modest salaries as a guard against self-interested politicians.
DOI: 10.7910/dvn/jvpvtu
title: Surface Rain, Lake Victoria Watershed, raster, 2004 -2014

description: &lt;p&gt;&lt;h2&gt;Surface Rain, Lake Victoria Watershed, raster, 2004-2014&lt;/p&gt;&lt;/h2&gt;

&lt;p&gt;&lt;h3&gt;Reference Information and Units:&lt;/p&gt;&lt;/h3&gt;
&lt;p&gt;GCS: SR-ORG:14 (http://spatialreference.org/).&lt;/p&gt;
&lt;p&gt;Projection: Data has not been projected.&lt;/p&gt;
&lt;p&gt;Pixel Size: ~0.5 degrees at the equator&lt;/p&gt;
&lt;p&gt;Units: mm, negative values are NoData&lt;/p&gt;

&lt;p&gt;&lt;h3&gt;File Naming Convention:&lt;/p&gt;&lt;/h3&gt; 
&lt;p&gt;SRMMYY&lt;/p&gt;

&lt;p&gt;&lt;h3&gt;Data Origin:&lt;/p&gt;&lt;/h3&gt; 
&lt;p&gt;Original dataset was downloaded from: http://disc.sci.gsfc.nasa.gov/services/opendap/TRMM/trmm.html&lt;/p&gt;

&lt;p&gt;&lt;h3&gt;Sensor:&lt;/p&gt;&lt;/h3&gt; 
&lt;p&gt;PR, TMI, VIRS&lt;/p&gt;
&lt;p&gt;TRMM gridded data&lt;/p&gt;

&lt;p&gt;&lt;h3&gt;Code:&lt;/p&gt;&lt;/h3&gt; 
&lt;p&gt;na&lt;/p&gt;

&lt;p&gt;&lt;h3&gt;Data Development/Processing:&lt;/p&gt;&lt;/h3&gt; 
&lt;p&gt;na&lt;/p&gt;
description: Gdal, v1.9
DOI: 10.7910/dvn/o0jeie
title: Measuring Resilience_Performance Anxiety and Burnout in Emergency Medicine Residents

description: Data set for Measuring ResiliencePerformance Anxiety and Burnout in Emergency Medicine Residents study.
DOI: 10.7910/dvn/vgdag8
title: Wright Casebook Edited; Docketed Case: 22,919
DOI: 10.7910/dvn/zqjcrw
title: Wright Casebook Edited; Docketed Case: 83-1143
DOI: 10.7910/dvn/63ejyi
title: Comparing ChatGPT’s ability to rate the degree of stereotypes and the consistency of stereotype attribution with those of medical students in New Zealand in developing a similarity rating test: a methodological study

description: Learning about one’s implicit bias is crucial for improving one’s cultural competency and thereby reducing health inequity. To evaluate bias among medical students following a previously developed cultural training program targeting New Zealand Māori, we developed a text-based, self-evaluation tool called the Similarity Rating Test (SRT).
DOI: 10.7910/dvn/fk2ccb
title: Wright Casebook Edited; Docketed Case: 73-1266