cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/put8t6
title: Preventing deaths due to tuberculosis: an assessment of global targets with a protocol for a systematic review and meta-analysis

description: BACKGROUND: Tuberculosis (TB) has killed more people than any other infection since records began. The Sustainable Development Goals and the World Health Organisation “End TB” Strategy prioritise key targets for reducing mortality due to TB. However, there seems to be limited research evidence available to inform how this target of reducing TB mortality may best be achieved.
OBJECTIVES: We aim to describe and categorise the published literature concerning mortality due to TB and then to review, critically appraise and synthesise the evidence that interventions decrease mortality due to TB.
METHODS: The Pubmed database will be searched. Screening and selection of eligible publications will be made by 2 independent reviewers and a third will be asked to resolve any discrepancies. Key information from selected publications will be extracted using a shared cloud-based spreadsheet. Quantitative assessments of the impacts of trial interventions on TB mortality will be extracted and synthesised using meta-analysis, if possible. When appropriate, the quality of trial evidence will be assessed.This systematic review and meta-analysis is registered with the PROSPERO database (CRD42023387877).
CONCLUSIONS: We will review the current published evidence concerning TB mortality and how it may best be prevented. We aim to clarify research gaps and also to synthesise evidence in order to guide future policy and research.
DOI: 10.7910/dvn/qw81br
title: A12_23610.JPG

description: Link to OCHRE database: &lt;a href = ''http://pi.lib.uchicago.edu/1001/org/ochre/d268ca78-b25e-48de-916a-1aad367e41ca'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/d268ca78-b25e-48de-916a-1aad367e41ca
DOI: 10.15468/dl.7z3egc
title: Occurrence Download

description: A dataset containing 11647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Motacilla alba Linnaeus, 1758)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 11647 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017642-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/kd6uh
title: Passed Resolves; Resolves 1837, c.75, SC1/series 228, Petition of Elbridge G. Howe

description: &lt;p&gt;Petition subject: Arguing for the right to petition and protesting the existence of slavery in Washington D.C. &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:10456130"&gt;http://nrs.harvard.edu/urn-3:FHCL:10456130&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Marshfield &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Edward P. Little, Marshfield &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Elbridge G. Howe&lt;/li&gt;&lt;li&gt;Charles Ewell&lt;/li&gt;&lt;li&gt;Wales Tilden Jr.&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Total signatures: 32 &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 32 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens, ["inhabitants"] &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: additional documents available &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Resolves 1837, c.75, passed April 12, 1837 &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/kfjgdq
title: Replication codes for: Distinguishing barriers to insurance in Thai villages

description: This folder contains the replication codes for “Distinguishing barriers to insurance in Thai villages” by Cynthia Kinnan. A Readme file is included.
DOI: 10.7910/dvn/8vkcq1
title: DESIGNER Fraction Concept Unmasks Minor Bioactive Constituents in Red Clover (Trifolium pratense L.)

description: Raw NMR data and adjacent information associated with the related publication
DOI: 10.7910/dvn/mmuq2u
title: A97_8783c.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/671596d4-1e9e-ff8a-f62a-0fdbb939a90e'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/671596d4-1e9e-ff8a-f62a-0fdbb939a90e
DOI: 10.7910/dvn/qk1vsa
title: Replication Data for: ds01

description: The dataset to calculate the ratio of Jnet/Jevap for K as a function of time and size of the evaporating body at 1800K and a total pressure of 2x10-7 bar in Figure 1A following Equation (4) and (5). Jevap is calculated using the evaporation code described by Young et al. (2019) and in the text. After ~ 4 days, the ratio of Jnet/Jevap for K approached 0.001 and the saturation thereby is close to 99.9% for the body with the radius of 500 km. 1000 km, and Moon’s radius (1700 km).
DOI: 10.7910/dvn/35bs0q
title: "India District Level Coal Jobs, Pensioners, DMF & CSR Dataset"

description: The dataset contains Indian district level:

1) Number of coal jobs
2) Number of coal industry pensioners
3) Amount of coal related District Mineral Foundation (DMF) revenue collected
4) Amount of corporate social responsibility (CSR) spending undertaken by coal companies

These datasets were collected through a combination of 32 Indian Right to Information, 2005 requests, analysis of company annual reports, and collection of data directly from a major union. I also used the GEM dataset (Global Energy Monitor, 2020) for Indian coal power plants for this calculating power plant jobs. 

The dataset is for the year 2019-2020.
description: The dataset contains Indian district level:

1) Number of coal jobs
2) Number of coal industry pensioners
3) Amount of coal related District Mineral Collected (DMF) revenue collected
4) Amount of corporate social responsibility (CSR) spending undertaken by coal companies

These datasets were collected through a combination of 32 Indian Right to Information, 2005 requests, analysis of company annual reports, and collection of data directly from a major union. I also used the GEM dataset (Global Energy Monitor, 2020) for Indian coal power plants for this calculating power plant jobs. 

The dataset is for the year 2019-2020.
DOI: 10.7910/dvn/we0bmu
title: rf_polysomnography_respiration_data_17

description: This dataset contains the raw RF measurements, polysomnography, and patient data gathered during day 17 of a 20-day study. All patient data has been anonymized.
&lt;br&gt;&lt;br&gt;
We are pleased to have other researchers make use of this data for their own algorithm development and understanding of respiratory monitoring with RF devices. We ask that you cite the following article if you make use of this data in your research.
&lt;br&gt;&lt;br&gt;
&lt;blockquote&gt;
P. Hillyard, A. Luong, A. S. Abrar, N. Patwari, K. Sundar, R. Farney, J. Burch, C. A. Porucznik, and S. H. Pollard. “Experience: Cross-Technology Radio Respiratory Monitoring Performance Study”. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom 2018), New Delhi, India, to appear, 29 Oct. 2018. &lt;/blockquote&gt;
&lt;br&gt;&lt;br&gt;
Links to all 20 days of data:
&lt;br&gt;&lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/X7AYXQ"&gt;Dataset for day00&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/LFXTTU"&gt;Dataset for day01&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/XYKQKM"&gt;Dataset for day02&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/8B9XUH"&gt;Dataset for day03&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/NWBCOX"&gt;Dataset for day04&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/FPAL1E"&gt;Dataset for day05&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/FATPSG"&gt;Dataset for day06&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/663ZBN"&gt;Dataset for day07&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/BIISSK"&gt;Dataset for day08&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/0NTCW4"&gt;Dataset for day09&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/4WXAPS"&gt;Dataset for day10&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/6PYP1T"&gt;Dataset for day11&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/TUXIHV"&gt;Dataset for day12&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/RB51U7"&gt;Dataset for day13&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/ESBCCX"&gt;Dataset for day14&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/HFCNV8"&gt;Dataset for day15&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/ATX7SB"&gt;Dataset for day16&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/WE0BMU"&gt;Dataset for day17&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/H5MYRD"&gt;Dataset for day18&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/3JJMQR"&gt;Dataset for day19&lt;/a&gt;
DOI: 10.7910/dvn/28826
title: Linking root traits and grain yield for rainfed rice in sub-Saharan Africa: Response of Oryza sativa andÂ Oryza glaberrima introgression lines under drought

description: Rainfed rice ecosystems account for more than 80% of the total rice area in sub-Saharan Africa, and large parts of this region frequently experience drought stress. One potential approach to improve the drought resistance and local adaptation of high-yielding rice varieties in rainfed regions of sub-Saharan Africa is to cross them with the African rice species Oryza glaberrima. In this study, 200 introgression lines (ILs) from crosses of O. sativa (IR64) and O. glaberrima (RAM90 and RAM54) were evaluated in three field experiments under different rainfed drought scenarios in Tanzania and the Philippines. The objectives of the study were to select ILs for yield and traits associated with drought resistance, and to analyze the genetic variation in water uptake, root growth, and drought response that were observed among the ILs in a previous greenhouse lysimeter study. Several ILs showed improved yield under drought stress and well- watered conditions compared with the recurrent parent IR64. One cluster of ILs that showed the highest yield across all environments included genotypes with the lowest canopy temperature under drought. In 10 selected ILs, root length density was negatively correlated with canopy temperature and soil moisture, and positively related to shoot biomass, but not significantly correlated with grain yield under drought. Although root growth in the field correla
ted well with root growth in the previous lysimeter study, only some of the highest-yielding lines under drought in the field were those that showed more water uptake in lysimeters. These results confirm the complex relationship among grain yield, root growth, and additional physiological mechanisms underlying crop growth and productivity in the field. The high- yielding ILs under both drought and well-watered conditions in this study can be used as donors to improve drought resistance in target rainfed rice environments in sub-Saharan Africa.
DOI: 10.7910/dvn/bxsfuf
title: Spanish European Elections
title: SEA Database - European
title: Spanish Electoral Archive Database - European

description: The main objective of this dataset is to offer analysts and scholars of the electoral phenomenon and society in general a centralized place where to find, in an organized and homogeneous way, the results recorded in the european elections processes in Spain since 1987.
description: See details in Excel files.
DOI: 10.7910/dvn/cmpwdv
title: Political Protests and the Diversionary Use of Media: Evidence from China

description: This research examines whether and to what extent political protests affect media coverage on external conflict in China for the purpose of diversion. Though there has been little evidence suggesting a diversionary use of force in contemporary China, we argue that, as the number of political protests increases, state-owned media are likely to expose the populace to media reports of external conflict as a way to divert public attention from domestic troubles/issues and instigate their nationalist sentiments. Our time-series analyses of China's weekly data from Global Times, one of the most influential Chinese tabloids, from February 2011 through December 2018 confirm this expectation. By weighting news reports based on the number of reposts of each report, which is significantly influenced by the 50c's activities, this study also accounts for the extent to which political protests affect the government's diversionary efforts.
DOI: 10.7910/dvn/hzrbqp
title: Replication Data for: Mild Aggressive Behavior and Images of Real-Life Violence

description: Several decades of research have explored the links between exposure to violent entertainment media and subsequent aggression. However, there has been little research on the effects of exposure to images of real-life violence. In the current study, participants viewed either a video portraying acts of real violence, fictional violence, or a non-violent video. After watching the video, mild aggressive behavior was assessed using the competitive reaction-time task. In 11 of 17 preregistered measures, participants who viewed scenes of real-life violence exhibited lower levels of mild aggressive behavior, compared to participants who viewed scenes of fictional violence from films and television shows. However, these effects were consistently small. The results suggest that exposure to images of real-life violence in the media may have a small inhibition effect on mild aggressive behavior in some contexts.
DOI: 10.7910/dvn/kt0fc6
title: Replication Data for Master's Thesis: "Do EU economic sanctions threaten EU’s trade in goods? A yearly panel regression analysis"

description: This dataverse contains the datasets analysed in the thesis, as well as the do-file with the executed source code for the analyses.
DOI: 10.7910/dvn/qw8tgb
title: Force A, Noise Level 0

description: Force A, Noise Level 0
DOI: 10.7910/dvn/28631
title: Replication data for: The war that wasn't there: Managing unclear cases in conflict data

description: When collecting data, some observations will always be hard to confidently classify in accordance with stated definitions of war, civil conflict, or political violence. This research note draws on the experiences of the Uppsala Conflict Data Program in the last decade in managing such unclear cases. After explaining the difference between unclear and non-cases, I describe the data generating process and how this uncertainty is distributed over time in the data. This exercise reveals that the 1980s may have been more conflict-filled than the 1990s, challenging arguments about the stability of the bipolar global order as well as the sudden ‘rise’ of warfare in the immediate post-Cold War era. The final section suggests different ways that researchers may use existing information regarding unclear cases as a way to conceptualize the nature of civil strife without having to engage in additional data collection.
DOI: 10.7910/dvn/33itlg
title: Data for "CAIT-UTC-REG58: Supplemental Study of Filter Technology Efficacy for Transit Vehicles to Combat the Spread of COVID-19 and Other Respiratory Infections"

description: The COVID-19 pandemic has been a worldwide issue that transit agencies are still struggling to find cost-efficient solutions to. Upgrading the filters used on trains and buses to reduce the airborne transmission of the SARS-CoV-2 virus as well as other infectious viruses, such as influenza, may be an effective, cost-efficient way of containing the very small, hard-to-filter droplet and aerosol particles that these viruses may travel within. One way to improve transit vehicle air quality and safety is to upgrade the current MERV-rated filters to higher-rated ones such as a MERV 13 filter. 

This study looked at quantifying the upgraded filters’ performance, focusing on their efficacy over time and comparing them to a MERV 8 filter. Filter performance was investigated using sodium chloride (NaCl) particles and Arizona Road Dust (ARD) particles to determine the filter collection efficiency. A Grimm MiniWras and Aerodynamic Particle Sizer was used to compare the number concentrations (#/L) of particles upstream and downstream of the filter. The filter testing data confirm that MERV-13 filters have better filtration efficiency compared to MERV-8 filters but the filter performance varies depending on the age of the filter (i.e., its loading), particle type, and particle properties (charged vs. neutralized).
DOI: 10.7910/dvn/g4tblf
title: CELL5M: A Multidisciplinary Geospatial Database for Africa South of the Sahara
title: CELL5M-SSA

description: Spatially-explicit data is increasingly becoming available across disciplines, yet they are often limited to a specific domain. In order to use such datasets in a coherent analysis, such as to decide where to target specific types of agricultural investment, there should be an effort to make such datasets harmonized and interoperable. For Africa South of the Sahara (SSA) region, the HarvestChoice CELL5M Database was developed in this spirit of moving multidisciplinary data into one harmonized, geospatial database. The database includes over 750 biophysical and socio-economic indicators, many of which can be easily expanded to global scale. The CELL5M database provides a platform for cross-cutting spatial analyses and fine-grain visualization of the mix of farming systems and populations across SSA. It was created as the central core to support a decision-making platform that would enable development practitioners and researchers to explore multi-faceted spatial relationships at the nexus of poverty, health and nutrition, farming systems, innovation, and environment. The database is a matrix populated by over 350,000 grid cells covering SSA at five arc-minute spatial resolution. Users of the database, including those conduct researches on agricultural policy, research, and development issues, can also easily overlay their own indicators. Numerical aggregation of the gridded data by specific geographical domains, either at subnational level or across country borders for more regional analysis, is also readily possible without needing to use any specific GIS software. See the HCID database (&lt;a href="http://dx.doi.org/10.7910/DVN/MZLXVQ"&gt;http://dx.doi.org/10.7910/DVN/MZLXVQ&lt;/a&gt;) for the geometry of each grid cell. The database also provides standard-compliant data API that currently powers several web-based data visualization and analytics tools.
description: Geospatial Data
description: This work was undertaken as part of the CGIAR Research Program on Policies, Institutions, and Markets (PIM) led by the International Food Policy Research Institute (IFPRI). Funding support was provided by PIM, the Bill and Melinda Gates Foundation, and USAID Bureau for Food Security.
DOI: 10.7910/dvn/puol6s
title: A Comprehensive 2022 Look at the Empirical Performance of Equity Premium Prediction

description: Replication data and code for "A Comprehensive 2022 Look at the Empirical Performance of Equity Premium Prediction."
DOI: 10.7910/dvn/wemz8v
title: Supplementary material for Raúl L. Madrid and Luis L. Schenoni, "Reining in Rebellion: The Decline of Political Violence in South America, 1830–1929," International Security, Vol. 48, No. 3 (Winter 2023/24), pp. 129–167.

description: Supplementary material for Raúl L. Madrid and Luis L. Schenoni, "Reining in Rebellion: The Decline of Political Violence in South America, 1830–1929," International Security, Vol. 48, No. 3 (Winter 2023/24), pp. 129–167.
DOI: 10.7910/dvn/28663
title: Replication data for: How the Time of Day Affects Productivity: Evidence from School Schedules

description: Pope, Nolan G., (2016) "How the Time of Day Affects Productivity: Evidence from School Schedules." Review of Economics and Statistics 98:1, 1-11.
description: Volume XX, Issue X
DOI: 10.7910/dvn/vynlon
title: Replication Data for: "Measuring support for women's political leadership" (Sundström & Stockemer, 2022, POQ)

description: Data and code to replicate findings in "Measuring support for women's political leadership"

Do-file:
1. "Sundström & Stockemer POQ replication code"
Dta-files:
1. "merged_r6_data_2016_36countries"
2. "merged_r5_data_AfroBarometer"
3. "merged_r7_data_34countries"

Sundström, Aksel and Daniel Stockemer (2022) “Measuring support for women’s political leadership: Gender of interviewer effects among African survey respondents” Public Opinion Quarterly.
DOI: 10.7910/dvn/wgrbsw
title: Precipitation averaged across Europe, GPCC, 1914-1920 C.E.

description: DATA DESCRIPTION: Precipitation averaged across Europe, GPCC, 1914-1920 
Citation: Alexander F. More, Christopher P. Loveluck, Heather Clifford, Michael J. Handley, Elena V. Korotkikh, Andrei V. Kurbatov, Michael McCormick and Paul A. Mayewski. (2020). The Impact of a six-year climate anomaly on the 'Spanish Flu' Pandemic and WWI. GeoHealth, American Geophysical Union. 
Coverage: Values averaged across Europe, Latitude 37N-56N; Longitude 0E-30E) 
DATE/TIME START: January 1914 * DATE/TIME END: December 1920 
"Source: Global Precipitation Climatology Centre (GPCC). This file was generated by Climate Reanalyzer (http://cci-reanalyzer.org) 
Climate Change Institute; University of Maine; USA (http://climatechange.umaine.edu) " 
Comment: PLEASE CITE ORIGINAL SOURCE WHEN USING THIS DATA. Dataset corresponds to Figures 1 (High marine air influx in the years of World War I and Spanish Influenza 1914-1919) and 2 (Marine air influx and total deaths in Europe 1914-1920) in the final manuscript. Precipitation (mm) for Western Europe 1914-1920 
Parameter(s): 
 Total precipitation averaged across Europe (mm)
 Year [C.E.] (Year, common era; each year is divided in 12 monthly entries, with decimals increasing by 0.083 (1/12) for each month.)
DOI: 10.15468/dl.xx76m6
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela frenata Lichtenstein, 1831",
 "StateProvince is one of (Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, Connecticut, New York, Pennsylvania, New Jersey, Delaware)"
 ]
}

 The dataset includes 778 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017638-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.