cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e117901v1
title: Data and Code for: Dynamic Persuasion with Outside Information

description: Data and code for the paper "Dynamic Persuasion with Outside Information". Abstract: "A principal seeks to persuade an agent to accept an offer of uncertain value before a deadline expires. The principal can generate information, but exerts no control over exogenous outside information. The combined effect of the deadline and outside information creates incentives for the principal to keep uncertainty high in the first periods so as to persuade the agent close to the deadline. We characterize the equilibrium, compare it to the single-player decision problem in which exogenous outside information is the agent's only source of information, and examine the welfare implications of our analysis."<br>
DOI: 10.3886/e116807
title: Data and Code for: Improving Police Performance in Rajasthan, India: Experimental Evidence on Incentives, Managerial Autonomy and Training

description: Management matters for firms, but what practices are optimal in hierarchical government organizations? And can skilled managers identify them? A large-scale randomized trial conducted with the police of Rajasthan, India, tested four interventions recommended by senior police officers: limitations of transfers, rotation of duties and days off, increased community involvement, and on-duty training. Field experience motivated a fifth intervention: “decoy” visits by enumerators to register cases, incentivizing staff to improve service. Only training and decoy visits had robust impacts; others were poorly implemented and ineffective. Management reforms can improve policing, but even skilled leaders struggle to identify the optimal interventions.<br>
description: face-to-face interview;
DOI: 10.3886/e116807v1
title: Data and Code for: Improving Police Performance in Rajasthan, India: Experimental Evidence on Incentives, Managerial Autonomy and Training

description: Management matters for firms, but what practices are optimal in hierarchical government organizations? And can skilled managers identify them? A large-scale randomized trial conducted with the police of Rajasthan, India, tested four interventions recommended by senior police officers: limitations of transfers, rotation of duties and days off, increased community involvement, and on-duty training. Field experience motivated a fifth intervention: “decoy” visits by enumerators to register cases, incentivizing staff to improve service. Only training and decoy visits had robust impacts; others were poorly implemented and ineffective. Management reforms can improve policing, but even skilled leaders struggle to identify the optimal interventions.<br>
description: face-to-face interview;
DOI: 10.3886/e117742v1
title: Data and Code for Climate Change and Agriculture: Subsistence Farmers’ Response to Extreme Heat

description: This paper examines how subsistence farmers respond to extreme heat. Using micro-data from Peruvian households, we find that high temperatures reduce agricultural productivity, increase area planted, and change crop mix. These findings are consistent with farmers using input adjustments as a short-term mechanism to attenuate the effect of extreme heat on output. This response seems to complement other coping strategies, such as selling livestock, but exacerbates the drop in yields, a standard measure of agricultural productivity. Using our estimates, we show that accounting for land adjustments is important to quantify damages associated with climate change.
DOI: 10.3886/e117862
title: Data and Code for: Influence and Information in Team Decisions

description: This repository contains replication code for "Influence and Information in Team Decisions: Evidence from Medical Residency"
DOI: 10.3886/e117862v1
title: Data and Code for: Influence and Information in Team Decisions

description: This repository contains replication code for "Influence and Information in Team Decisions: Evidence from Medical Residency"
DOI: 10.3886/e130842
title: Community Resilience Learning Collaborative and Research Network (C-LEARN)

description: The Community Resilience Learning Collaborative and Research Network (C-LEARN) is a study to learn how best to enhance preparedness and resilience in disaster-prone communities in Southeast Louisiana.<br><br>In Phase 1 of the study, we conducted qualitative interviews with community leaders, agency and organization heads, and other community stakeholders throughout Orleans Parish, East Baton Rouge Parish, and Coastal Louisiana. Interviews were meant to capture community needs, assets, partnerships, priorities, and previous experiences related to disaster exposure.<br><br>In Phase 3 of the study, we conducted a second round of qualitative interviews with community leaders and stakeholders to rapidly assess evolving community needs, priorities, and assets as COVID became a growing global public health threat.
description: Response Rates: Phase 1<br>67 people were invited to participate in Phase 1 interviews. Of those invited, 53 responded to the invite and 48 people were available to be interviewed. 47 agencies were represented by interviewees.<br><br>Phase 3<br>68 people were invited to participate in Phase 3 interviews. Of those invited, 26 people responded to the invite and were available to be interviewed. <br>
description: face-to-face interview; telephone interview;
description: Community leaders, agency, and organizational heads, representatives, and stakeholders in disaster-at-risk communities in Southeast Louisiana. Smallest Geographic Unit: Parish/County
description: Snowball sampling
DOI: 10.3886/e130842v1
title: Community Resilience Learning Collaborative and Research Network (C-LEARN)

description: The Community Resilience Learning Collaborative and Research Network (C-LEARN) is a study to learn how best to enhance preparedness and resilience in disaster-prone communities in Southeast Louisiana.<br><br>In Phase 1 of the study, we conducted qualitative interviews with community leaders, agency and organization heads, and other community stakeholders throughout Orleans Parish, East Baton Rouge Parish, and Coastal Louisiana. Interviews were meant to capture community needs, assets, partnerships, priorities, and previous experiences related to disaster exposure.<br><br>In Phase 3 of the study, we conducted a second round of qualitative interviews with community leaders and stakeholders to rapidly assess evolving community needs, priorities, and assets as COVID became a growing global public health threat.
description: Response Rates: Phase 1<br>67 people were invited to participate in Phase 1 interviews. Of those invited, 53 responded to the invite and 48 people were available to be interviewed. 47 agencies were represented by interviewees.<br><br>Phase 3<br>68 people were invited to participate in Phase 3 interviews. Of those invited, 26 people responded to the invite and were available to be interviewed. <br>
description: face-to-face interview; telephone interview;
description: Community leaders, agency, and organizational heads, representatives, and stakeholders in disaster-at-risk communities in Southeast Louisiana. Smallest Geographic Unit: Parish/County
description: Snowball sampling
DOI: 10.3886/e118542
title: Data and Code for: Can Successful Schools Replicate? Scaling Up Boston’s Charter School Sector

description: Abstract. Can schools that boost student outcomes reproduce their success at new campuses? We study a policy reform that allowed effective charter schools in Boston, Massachusetts to replicate their school models at new locations. Estimates based on randomized admission lotteries show that replication charter schools generate large achievement gains on par with those produced by their parent campuses. The average effectiveness of Boston’s charter middle school sector increased after the reform despite a doubling of charter market share. An exploration of mechanisms shows that Boston charter schools compress the distribution of teacher effectiveness and may reduce the returns to teacher experience, suggesting the highly standardized practices in place at charter schools may facilitate replicability. <br>
description: Applicants to Boston charter schools from 2004 - 2013.
DOI: 10.3886/e118542v1
title: Data and Code for: Can Successful Schools Replicate? Scaling Up Boston’s Charter School Sector

description: Abstract. Can schools that boost student outcomes reproduce their success at new campuses? We study a policy reform that allowed effective charter schools in Boston, Massachusetts to replicate their school models at new locations. Estimates based on randomized admission lotteries show that replication charter schools generate large achievement gains on par with those produced by their parent campuses. The average effectiveness of Boston’s charter middle school sector increased after the reform despite a doubling of charter market share. An exploration of mechanisms shows that Boston charter schools compress the distribution of teacher effectiveness and may reduce the returns to teacher experience, suggesting the highly standardized practices in place at charter schools may facilitate replicability. <br>
description: Applicants to Boston charter schools from 2004 - 2013.
DOI: 10.3886/e120921v2-74010
title: Effect of Sport Education on students’ perceived physical literacy, motivation and physical activity levels in university required physical education: A cluster-randomized trial

description: Originating from the field of physical education, physical literacy is an individual disposition that accentuates the importance of the lifelong physical activity. Sport Education is a sport-based physical education curriculum and instructional model that has been espoused to operationalize physical literacy. The purpose of this study was to examine the effects of Sport Education within a compulsory physical education program on university students’ physical literacy and physical activity levels. A parallel-group single-blind cluster randomized research design was used to examine the effect of a 10-lesson Sport Education intervention in physical education on students’ physical activity and physical literacy from baseline, through post-intervention, and follow-up phases. A total of 372 participants completed all phases of data collection. Results showed increases in the affective and social domains of physical literacy across both groups. Findings also revealed a greater increase in daily self-reported physical activity levels and a reduction in perceived disempowering motivational climate in the Sport Education group at the follow-up phase. With a limited controlling and ego-evolving climate, Sport Education was found to be beneficial in developing the behavioral domain of undergraduate student physical literacy.
description: Response Rates: 89%
description: coded video observation; on-site questionnaire;
description: Smallest Geographic Unit: Hong Kong
DOI: 10.3886/e118441
title: Data and Code for "Relative Prices and Climate Policy: How the Scarcity of Non-Market Goods Drives Policy Evaluation"

description: Climate change not only impacts production and market consumption, but also the relative scarcity of non-market goods, such as environmental amenities. We study fundamental drivers of the resulting relative price changes, their potential magnitude, and their implications for climate policy in Nordhaus’ prominent DICE model, thereby addressing one of its key criticisms. We propose plausible ranges for these relative prices changes based on best available evidence. Our central calibration reveals that accounting for relative prices is equivalent to decreasing pure time preference by 0.6 percentage points and leads to a more than 50 percent higher social cost of carbon.<br><br>
DOI: 10.3886/e118441v1
title: Data and Code for "Relative Prices and Climate Policy: How the Scarcity of Non-Market Goods Drives Policy Evaluation"

description: Climate change not only impacts production and market consumption, but also the relative scarcity of non-market goods, such as environmental amenities. We study fundamental drivers of the resulting relative price changes, their potential magnitude, and their implications for climate policy in Nordhaus’ prominent DICE model, thereby addressing one of its key criticisms. We propose plausible ranges for these relative prices changes based on best available evidence. Our central calibration reveals that accounting for relative prices is equivalent to decreasing pure time preference by 0.6 percentage points and leads to a more than 50 percent higher social cost of carbon.<br><br>
DOI: 10.3886/e119446v52
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
description: State policies. Smallest Geographic Unit: State
DOI: 10.3886/e114742v1-74015
title: Replication data for: The Effect of Fast Food Restaurants on Obesity and Weight Gain

description: We investigate how changes in the supply of fast food restaurants affect weight outcomes of 3 million children and 3 million pregnant women. Among ninth graders, a fast food restaurant within 0.1 miles of a school results in a 5.2 percent increase in obesity rates. Among pregnant women, a fast-food restaurant within 0.5 miles of residence results in a 1.6 percent increase in the probability of gaining over 20 kilos. The implied effects on caloric intake are one order of magnitude larger for children than for mothers, consistent with smaller travel cost for adults. Non-fast food restaurants and future fast-food restaurants are uncorrelated with weight outcomes. (JEL I12, J13, J16, L83)
DOI: 10.6084/m9.figshare.13661387
title: Basic analysis in TMT-based quantitative proteomic analysis

description: Basic analysis in TMT-based quantitative proteomic analysis
DOI: 10.6084/m9.figshare.13661387.v1
title: Basic analysis in TMT-based quantitative proteomic analysis

description: Basic analysis in TMT-based quantitative proteomic analysis
DOI: 10.6084/m9.figshare.13661390
title: TMT-based quantitative proteomic analysis

description: Basic analysis, differentially expressed protein and protein annotation in TMT-based quantitative proteomic analysis
DOI: 10.6084/m9.figshare.13661390.v1
title: TMT-based quantitative proteomic analysis

description: Basic analysis, differentially expressed protein and protein annotation in TMT-based quantitative proteomic analysis
DOI: 10.6084/m9.figshare.13661417
title: Ribosomal protein database of Enterobacter hormaechei ATCC 49162

description: This work presents the ribosomal protein database of <i>Enterobacter hormaechei </i>ATCC 49162<i>. </i>Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.6084/m9.figshare.13621169.v8
title: Speedtest Open Data - Four International cities - MEL, BKK, SHG, LAX

description: This dataset compares four cities broadband internet speeds:- Melbourne, AU- Bangkok, TH- Shanghai, CN- Los Angeles, US<br>ERRATA:1.Data is for Q3 2020, but some files are labelled incorrectly as 02-20 of June 20. They all should read Sept 20, or 09-20 as Q3 20, rather than Q2. Will rename and reload.Amended in v7.<br>2. LAX file named 0320, when should be Q320.Amended in v8.<br><br>*lines of data for each geojson file; a line equates to a 600m^2 location, inc total tests, devices used, and average upload and download speed- MEL 16181 lines- SHG 31745 lines- BKK 29296 lines- LAX 15899 lines<br>Geojsons of these 2* by 2* extracts for MEL, BKK, SHG now added, and LAX added v6..<br>This dataset unpacks, geospatially, data summaries provided in Speedtest Global Index (linked below). See Jupyter Notebook (*.ipynb) to interrogate geo data. See link to install Jupyter.<br>** To DoWill add Google Map versions so everyone can see without installing Jupyter.- Link to Google Map (BKK) added below. Key:Green &gt; 100Mbps(Superfast). Black &gt; 500Mbps (Ultrafast). CSV provided. Code in Speedtestv1.1.ipynb Jupyter Notebook.<br>** Pythonmelb = au_tiles.cx[144:146 , -39:-37] #Lat/Lon extract<br>shg = tiles.cx[120:122 , 30:32] #Lat/Lon extract<br>bkk = tiles.cx[100:102 , 13:15] #Lat/Lon extract<br>lax = tiles.cx[-118:-120, 33:35] #lat/Lon<br>Histograms, and data visualisations will be provided.Data Sourced from - This is an extract of Speedtest Open data available at Amazon WS (link below - opendata.aws).<br>**VERSIONSv8 Renamed LAX file to Q3, rather than 03.v7 Amended file names of BKK files to correctly label as Q3, not Q2 or 06.v6 Added LAX file.v5 Add screenshot of BKK Google Map.v4 Add BKK Google map(link below), and BKK csv mapping files. v3 replaced MEL map with big key version. Prev key was very tiny in top right corner.v2 Uploaded MEL, SHG, BKK data and Jupyter Notebookv1 Metadata record<br>** LICENCEAWS data licence on Speedtest data is "CC BY-NC-SA 4.0", so use of this data must be:- non-commercial (NC)- reuse must be share-alike (SA)(add same licence).This restricts the standard CC-BY Figshare licence.<br>
DOI: 10.17632/trmpr9hcy4.1
title: Data for: Revaccination with measles-mumps-rubella vaccine and hospitalization for infection in Denmark and Sweden - an interrupted time-series analysis

description: Datasets: 1) analysis_data_MMR2_int_4seasons_poison_Denmark.csv 2) analysis_data_MMR2_int_4seasons_poison_Sweden.csv 3) analysis_data_MMR2_int_4seasons_poison_Denmark_female.csv 4) analysis_data_MMR2_int_4seasons_poison_Sweden_females.csv 5) analysis_data_MMR2_int_4seasons_poison_Denmark_male.csv 6) analysis_data_MMR2_int_4seasons_poison_Sweden_males.csv Notes about the datasets from Denmark (1, 3, and 5): The variable “pyrs” give the number of person years at risk: authors own calculations based on data from publicly available data from Statistics Denmark (https://www.statbank.dk/FOLK2). The variable “dur2” give the number of events (hospitalizations for infections lasting two days or longer), which is estimated by the authors based on individual level data obtained through Statistics Denmark and the Danish Health Data Authority. Notes about the datasets from Sweden (2, 4, and 6): The variable “pyrs” give the number of person years at risk: authors own calculations based on data from publicly available data from Statistics Sweden (http://www.statistikdatabasen.scb.se/pxweb/en/ssd/START__BE__BE0101__BE0101A/BefolkningNy/?rxid=f5bf3beb). The variable “dur2” give the number of events (hospitalizations for infections lasting two days or longer), which is estimated by the authors based on individual level data obtained from Statistics Sweden and the patient registry administered by the National Board of Health and Welfare. R scripts for running the analyses: 1) MMR2_ITS_analysis_both_sexes.R 2) MMR2_ITS_analysis_females.R 3) MMR2_ITS_analysis_males.R Script 1 is used for the analyses for both sexes combined and uses datasets 1 and 2. Script 2 is used for the analyses for females and uses datasets 3 and 4. Script 3 is used for the analyses for males and uses datasets 5 and 6. Please note that in all scripts you should search for “NOTE 1” and check if you have all needed packages installed. Please note that in all scripts you should search for “NOTE 2” and insert the relevant destination and file names.
DOI: 10.5281/zenodo.4477741
title: dataset for Bio 440 Mod 2 - featureCounts

description: data from Wu et al 2019: https://www.pnas.org/content/117/45/28336
DOI: 10.5281/zenodo.4477740
title: dataset for Bio 440 Mod 2 - featureCounts

description: data from Wu et al 2019: https://www.pnas.org/content/117/45/28336
DOI: 10.6084/m9.figshare.12102627
title: Effectiveness of a sepsis programme in a resource-limited setting: a retrospective analysis of data of a prospective observational study (Ubon-sepsis)

description: This data are a part of the data of the prospective observational (non-interventional) study of community-acquired sepsis and severe sepsis in Sunpasitthiprasong Hospital, Ubon Ratchathani province, northeast Thailand (Ubon-sepsis study NCT02217592) (https://doi.org/10.6084/m9.figshare.5544592.v3) with a few additional variables based on the study, “Effectiveness of a sepsis programme in a resource-limited setting: a retrospective analysis of data of a prospective observational study (Ubon-sepsis)”<br>In Ubon-sepsis cohort, from March 2013 to January 2017, we prospectively enrolled adult patients (age≥18 years) who were admitted with a primary diagnosis of suspected or documented infection made by the attending physician, were within 24 hours of hospital admission, and had at least three sepsis diagnostic criteria documented in the medical record (PMCID: PMC6157894 and PMC6886203).<br>In this study, “Effectiveness of a sepsis programme in a resource-limited setting: a retrospective analysis of data of a prospective observational study (Ubon-sepsis)”, we report effectiveness of a Sepsis Fast Track (SFT) programme implemented at a regional referral hospital in Thailand in January 2015. The main outcomes was 28-day mortality. The secondary outcomes were measured sepsis management. Of all 4989 patients enrolled in the Ubon-sepsis cohort study, 3806 presented with community acquired sepsis (modified SOFA score ≥2) were included in the analysis.The data comprises of demographic, clinical information and 28-day mortality of all 4989 patients enrolled into the Ubon-sepsis cohort at Sunpasitthiprasong Hospital, Ubon Ratchathani province, Thailand. There are two files, the data and the data descriptions.