cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/oe6ts2
title: Replication Data for: Influenza B virus genomic diversity across a single epidemic season in coastal Kenya

description: &lt;p&gt;The data used in this analysis arises from a larger study to characterize the transmission pathways of viral respiratory infections in Kilifi County. Two sets of samples were utilized in this study: (1) Data collected from patients presenting in 9 out-patient health facilities within the KHDSS area with symptoms of respiratory infection. The main study was conducted from December 2015 to June 2017. (2) Samples collected from children (under 5 years of age) admitted to the Kilifi County Hospital (KCH) presenting with severe or very severe pneumonia between September 2011 and August 2016. However, this dataset includes samples collected between January 2016 and December 2016 that tested positive for influenza B virus.&lt;/p&gt;
DOI: 10.7910/dvn/8bjadb
title: Environmental Innovation Impact analysis with the GMR-Europe Model

description: This study introduces and applies a modelling system that is suitable for the impact 
assessment of environmental innovations referred to as “Blue Economy” innovations. The paper’s contribution to the literature is threefold. First, the building of a multi-sector computable general equilibrium (CGE) model, which provides the theoretical framework for studying the economic impacts of using waste as a production input. Second, the creation of an empirical methodology through which new Blue Economy technologies can be concretely accounted for in regional input-output tables. Since Blue Economy innovations are mostly built on local inputs, their effects are primarily local. Third, given that interregional spillovers of local impacts might also be significant, through interregional trade or migration, a modelling approach that can follow complex spatial processes is applied. The broader model framework chosen is the GMR-Europe model.
DOI: 10.7910/dvn/o5qbhm
title: Transparency, Reproducibility, and the Credibility of Economics Research

description: There is growing interest in enhancing research transparency and reproducibility in economics and other scientific fields. We survey existing work on these topics within economics, and discuss the evidence suggesting that publication bias, inability to replicate, and specification searching remain widespread in the discipline. We next discuss recent progress in this area, including through improved research design, study registration and pre-analysis plans, disclosure standards, and open sharing of data and materials, drawing on experiences in both economics and other social sciences. We discuss areas where consensus is emerging on new practices, as well as approaches that remain controversial, and speculate about the most effective ways to make economics research more credible in the future.
DOI: 10.7910/dvn/sdugcc
title: Replication Data for: Electoral Backlash against Climate Policy: A Natural Experiment on Retrospective Voting and Local Resistance to Public Policy

description: Retrospective voting studies typically examine policies where the public has common interests. By contrast, climate policy has broad public support but concentrated opposition in communities where costs are imposed. This spatial distribution of weak supporters and strong, local opponents mirrors opposition to other policies with diffuse public benefits and concentrated local costs. I use a natural experiment to investigate whether citizens living in proximity to wind energy projects retrospectively punished an incumbent government because of its climate policy. Using both fixed effects and instrumental variable estimators, I identify electoral losses for the incumbent party ranging from 4-10%, with the effect persisting 3 km from wind turbines. Voters also discriminate by correctly punishing the level of government responsible for the policy, providing evidence that voters are informed. I conclude that the spatial distribution of citizens' policy preferences can affect democratic accountability and exacerbate political barriers to addressing climate change.
description: This dataset underwent an independent verification process that replicated the tables and figures in the main article and those included in supplementary materials on which primary findings are contingent. 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/sj7aum
title: [ Pig ] Normalized Requirement Files

description: The documents of requirements are normalized by standard pre-processing techniques including splitting identifiers, special token elimination, stemming, and stop word removal.
DOI: 10.7910/dvn/6atg1
title: Passed Acts; St. 1861, c.91, SC1/series 229, Petition of Elijah M. Read

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:10668957"&gt;http://nrs.harvard.edu/urn-3:FHCL:10668957&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1861-01-20 &lt;/p&gt; &lt;p&gt;Petition location: Tewksbury &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Hapgood Wright, Lowell; committee on the personal liberty laws &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Elijah M. Read&lt;/li&gt;&lt;li&gt;Samuel D. Rogers&lt;/li&gt;&lt;li&gt;Jonas Clark&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1861-01-24,1861-01-25 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on January 24, 1861 and referred to the committee on the personal liberty laws and received in the Senate on January 25, 1861 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 109 &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): 109 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens, ["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: 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/6avqxl
title: Supplemental Data for: Kelsey, H.M., Nelson, A.R., Hemphill-Haley, E.M., and Witter, R.C., 2005, Tsunami history of an Oregon coastal lake reveals a 4600 yr record of great earthquakes on the Cascadia subduction zone

description: This supplemental data for Kelsey et al., (2005) includes photographs and descriptions of stratigraphic units in 21 cores from Bradley Lake (pdf format, listed separately in folders for each core [click "Tree" above file list]) used to make the interpretations of lake history discussed in the paper, a preliminary interpretation of the correlation and genesis of core stratigraphic units in much more detail than could be presented in the published paper (pdf format, below), and tabulations of smear slide data for key units in cores (xlsx format, listed separately by core, lithology, and disturbance event). This data is in addition to the table of radiocarbon ages, table of sedimentation rates, and two figures in the supplemental data for the original paper in the Geological Society of America Data Repository (https://doi.org/10.1130/2005105).
DOI: 10.7910/dvn/rje0ew
title: Replication Data for The Impact of Message Source on the Effectiveness of Communications About Climate Change

description: We conducted a survey experiment in which we presented 1,850 respondents with one of two versions of an appeal emphasizing either the threats to the environment or threats to national security of the United States as a result of climate change. The messages were attributed to one of four sources: Republican Party leaders, Democratic Party leaders, military officials, or climate scientists. The results reveal that messages attributed to military leaders, or to Republican Party leaders, can enhance the impact of the appeal. This finding underscores the importance that the source of any communication can have on its overall effectiveness.
DOI: 10.7910/dvn/t4fums
title: Replication Data for: The Facade of Control: The Political and Military Backlash to Curfews During Civil Conflicts

description: Curfews are commonly used by governments to control restive populations during conflict, but are they effective? Although the primary goal for governments is to increase military advantage, they also cause significant disruptions to civilian life which may provoke a backlash. In this study, we analyze the effect of curfews on public attitudes and rebel attacks in Turkey. Exploiting the closeness of two national elections and the implementation of curfews between these elections we employ novel data in a difference-in-difference analysis to examine effects on voting and violence. Our results show that curfews provoke a dual backlash effect. First, they decrease support for the ruling party and increase support for Kurdish and Turkish national opposition parties in the areas where they are implemented. Second, they increase the number of rebel attacks in the areas that experience a curfew. This paper provides robust evidence for the backlash effects of indiscriminate non-violent tactics.
DOI: 10.7910/dvn/6c6ge9
title: Labor market opportunities for women in the digital age

description: Digitalization offers a variety of opportunities for female empowerment and for a more equal female participation in labor markets, financial markets, and entrepreneurship. Currently, digitalization seems to favor female labor force, since women face on average lower risk of being replaced by machines, as compared to men. Women’s often superior social skills represent a comparative advantage in the digital age, and this is particularly so when social skills are complemented with higher education and advanced digital literacy. However, the same barriers and deficits that obstruct women’s current advancement in many countries may deprive them from many beneficial opportunities in the digital age, including new entrepreneurial opportunities. Major efforts by policy makers are required to invalidate these barriers. New digital technologies should be used more decisively to achieve the goal of gender equality.
DOI: 10.7910/dvn/8b9xuh
title: rf_polysomnography_respiration_data_03

description: This dataset contains the raw RF measurements, polysomnography, and patient data gathered during day 03 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/skcdis
title: Compounds 1 to 8_RawNMRdata_Bruker_MeOH_MagFld

description: 1D; ​1​H and ​13​C, 2D; COSY, HSQC, HMBC for Propolone A (1), Propolone B (2), Propolone C (3), Propolone D (4), Propolonone A (5), Propolonone B (6), Propolonone C (7) and Propolol A (8)
DOI: 10.34740/kaggle/dsv/12048167
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.7910/dvn/oe6umr
title: Replication Code for the Wisdom of Partisan Crowds

description: This dataset contains data and code for replicating the figures, statistical analyses, and simulations in The Wisdom of Partisan Crowds.

For easier access:
git clone https://github.com/joshua-a-becker/wisdom-of-partisan-crowds
DOI: 10.7910/dvn/oebem1
title: A10_18286.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/c4232d3d-6dae-4bb2-b7fc-54faa07c96da'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/c4232d3d-6dae-4bb2-b7fc-54faa07c96da
DOI: 10.7910/dvn/zjouaz
title: Trust & Safety Team Data

description: The Trust & Safety team compiled these metrics to identify 2020 Census misinformation trends
DOI: 10.7910/dvn/8cbxuu
title: Wright Casebook Edited; Docketed Case: 76-1431
DOI: 10.7910/dvn/o5mokd
title: Ethiopia National Food Consumption Survey

description: Ethiopia National Food Consumption Survey was conducted to investigate the food consumption pattern of the Ethiopian population to provide evidence-based information for National Food Fortification programs. The survey population was drawn from households randomly selected to be representative of all nine regions (Afar, Amhara, Benshangul-Gumuz, Gambella, Oromia, Somali, Southern Nations Nationalities and People’s, Tigray, Harari) and the two city administrations of Ethiopia (Addis Ababa and Dire Dawa).
description: Stata, 14
DOI: 10.7910/dvn/o6wnmx
title: Supplementary data for Laumer and Giribet 2017 Invertebrate Biology

description: This .7z archive contains files generated by sequence alignment (MAFFT) and phylogenetic analysis programs (RAxML, MrBayes, and PhyloBayes), which underpin the results presented in our 2017 article:

Laumer, C.E. and Giribet, G. 2017 "Phylogenetic relationships within Adiaphanida (phylum Platyhelminthes) and the status of the crustacean-parasitic genus Genostoma" Invertebrate Biology, 136(2).

A README.txt file in the top level contains full descriptions of the organization of the archive.
description: SUPPLEMENTARY INFORMATION, Invertebrate Biology Laumer and Giribet 2017
DESCRIPTION OF CONTENTS 

Phylogenetic result files are grouped into directories by analysis program, namely MrBayes, PhyloBayes, and RAxML, respectively. Within these directories: 

rRNA_Genostoma -- files containing this substring refer to analysis outcomes from the matrix constructed for the Adiaphanida-focused analyses. 18S rRNAs are in bases 1-1669; 28S rRNAs are in 1670-4649.

rRNA_Genostoma_Neoophora -- files containing this substring refer to analysis outcomes from the matrix constructed for the pan-Platyhelminth analyses 18S rRNAs are in bases 1-1676; 28S rRNAs are in bases 1677-4542.

Within each directory, file names and contents are as default for the program used to generate the analysis (e.g. "rRNA_Genostoma_Neoophora.nexus.run1.t" contains the newick-formatted trees sampled during by the first MCMC of the MrBayes analysis of the pan-Platyhelminth matrix). Files ending in *out or *slurm refer to batch scripts and output used by the SLURM scheduler which was used to run the analyses in question on Harvard's Odyssey research cluster. Consensus trees as used in the paper are also generated in each respective directory, as .con.tre files.

Multiple sequence alignment files (in phylip format and assorted other formats) are grouped in the "Alignments" directory.

Table S1 refers the reader, organized by the taxon names used in this paper, to the GenBank accession number used to obtain the specific rRNA sequence analysed for both 18S and 28S genes.

The "Syromyatnikova 1949" directory contains a pdf scan of the original Russian description of Ichthyophaga subcutanea (now Piscinquilinus subcutaneus), as well as a new English translation, courtesy of Matt Young.
DOI: 10.7910/dvn/squgln
title: Replication Data for: 'Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates'

description: The data and programs replicate tables and figures from "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates", by Hanson, Lucca, and Wright. Please see the readme file for additional details.
description: STATA, null
description: MATLAB, null
description: Excel, null
DOI: 10.7910/dvn/ycxj6q
title: Cognitive Construals in Biology

description: This dataset contains anonymized student responses to a survey in which they were asked to indicate and explain agreement with statements that can be interpreted as being teleological, anthropocentric, or essentialist in nature.
DOI: 10.7910/dvn/zttq1f
title: Wright Files I-Z Edited; Docketed Case: 77-1004
DOI: 10.7910/dvn/evpqg9
title: Replication Data for: The Interaction Effect of Two Metacognitive Factors on Cognitive Offloading: Between Estimated Performance and Confidence Level

description: Two separate .csv documents include the raw data from Experiment 1 and Experiment 2.
DOI: 10.7910/dvn/tv5tac
title: Factors associated with clinical nurses’ preconception health behavior in Korea: a cross-sectional survey

description: Purpose: Nurses have been reported to be at an increased risk for miscarriage and preterm labor. However, there is limited knowledge regarding nurses’ preconception health behaviors. Therefore, this study aimed to identify factors influencing these behaviors.
Methods: One hundred sixty nurses, who were planning their first pregnancy within the upcoming year, participated in an online survey from August 11 to October 31, 2021. Data on preconception health behavior, perceived health status, pregnancy anxiety, nursing practice environment, and social support were analyzed using the t-test, Pearson correlation coefficients, and multiple regression analysis.
Results: Age (р=.024), educational level (р=.010), marital status (р=.003), work experience (р=.003), satisfaction with the work department (р&lt;.001), smoking status (р=. 039), and previous health problems related to pregnancy outcomes (р=.004) were significantly associated with nurses’ preconception health behaviors. Furthermore, perceived health status (р&lt;.001), pregnancy anxiety (р=.011), nursing practice environment (р=.003), and social support (р&lt;.001) showed significant correlations with preconception health behaviors. Social support (β=. 28, р=.001), satisfaction with the work department (β=.23, р=.032), marital status (β=.22, р=.002), and perceived health status (β=.23, р=.002) were confirmed as factors associated with preconception health behaviors. These factors explained 40.9% of the variance in preconception health behaviors (F=6.64, р&lt;.001).
Conclusion: Clinical nurses’ preconception health behaviors were influenced by social support, perceived health status, satisfaction with the work department, and marital status. Interventions to improve clinical nurses’ preconception health behaviors should target social support and perceived health status. A preconception health behavior education program considering clinical nurses’ marital status and satisfaction with the workplace can also be implemented.
DOI: 10.7910/dvn/tyggey
title: Spatial Patterns of Micromobility Ridership: A Multi-City Analysis

description: These data are related to "Spatial Patterns of Micromobility Ridership: A Multi-City Analysis" paper
description: MEL = Melbourne
AUK = Auckland
SFO = San Francisco
PDX = Portland
SM = Santa Monica
AUS = Austin

The clusters are shown in LISA_CL attribute
0 = Non significant
1 = High-High
2 = Low-Low
3 = Low-High
4 = High-Low
DOI: 10.7910/dvn/me2w6u
title: National and District Level Party Systems Datasets

description: Each observation in the National Level Party Systems dataset (NLPS) and the District Level Party Systems dataset (DPLS) is the party system at the national or district level, respectively, in a given election. Users can use the datasets separately or merge them to carry out cross-level analysis. More than fifty elections in the two datasets are overlapping for this purpose. In addition to conventional measures like the effective number of parties are variables such as the size of the largest party, list type, and the vote shares for presidential candidates. File formats include DTA and CSV. Users should review the corresponding publication and codebook for further information.