cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19499078.v1
title: Participant information sheet and informed consent for staff nurses

description: This document include participant information sheet regarding the study details and informed consent form for staff nurses from the rural areas of southern part of India
DOI: 10.6084/m9.figshare.19499072
title: Demographic Performa

description: this form described the socio demographic characteristics of the participants
DOI: 10.5281/zenodo.6374288
title: Replication package for "Affordable Housing and City Welfare"

description: The package contains all the code necessary to reproduce the figures and tables in Favilukis, Mabille and Van Nieuwerburgh (forthcoming), "Affordable Housing and City Welfare." Review of Economic Studies.
DOI: 10.5281/zenodo.6141559
title: Replication package for "Affordable Housing and City Welfare"

description: The package contains all the code necessary to reproduce the figures and tables in Favilukis, Mabille and Van Nieuwerburgh (forthcoming), "Affordable Housing and City Welfare." Review of Economic Studies.
DOI: 10.6084/m9.figshare.12130980.v137
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.6084/m9.figshare.19165460
title: Response of an orb spider to tuning forks

description: Responses and reaction time of the orb spider <i>Metellina segmentata </i>in response to stimulations of a metal wire (to spider) and 256 Hz and 440 Hz tuning forks (to web).
DOI: 10.34740/kaggle/dsv/3422983
title: VGG16 filter activations
DOI: 10.18715/bcmt.mag.var
title: French Global Network of Geomagnetic observatories

description: The Bureau Central de Magnétisme Terrestre (BCMT) is a French organization founded in 1921 and attached to the Institut de Physique du Globe de Paris (IPGP). Two French institutions are involved in BCMT operations: IPGP and École et Observatoire des Sciences de la Terre de Strasbourg (EOST). The primary mission of the BCMT is to provide ground geomagnetic observations of the highest quality to the scientific community, in France and abroad. To achieve its mission, the BCMT operates a network of magnetic observatories distributed worldwide, including the National Magnetic Observatory located at Chambon-la-Forêt, France. Each observatory is equipped with two types of magnetometers: A three-axis vector magnetometer and an absolute scalar magnetometer. Calibration measurements are made regularly by an operator at each magnetic observatory. Vector data, scalar data and calibration data are gathered to obtain fully calibrated set of definitive values of the magnetic field vector at the observatory position along time. BCMT data are available on its website (www.bcmt.fr) and on Intermagnet’s website (www.intermagnet.org). The data are under license CC BY-NC 4.0.
DOI: 10.6084/m9.figshare.13665941.v5
title: Understanding and Improving Risk Assessment after Myocardial Infarction using Automated Left Ventricular Shape Analysis

description: 3D Shape and Contraction Analysis Pipeline. Please, unzip the pipeline and check 'ReadMe' for details on how to run it.<br>Reference paper: https://doi.org/10.1016/j.jcmg.2021.11.027<br>
DOI: 10.6084/m9.figshare.13665941.v4
title: Understanding and Improving Risk Assessment after Myocardial Infarction using Automated Left Ventricular Shape Analysis

description: 3D Shape and Contraction Analysis Pipeline. Please, unzip the pipeline and check 'ReadMe' for details on how to run it.<br>Reference paper: https://doi.org/10.1016/j.jcmg.2021.11.027<br>
DOI: 10.5281/zenodo.6421494
title: Sampling campaign data - Lake Geneva

description: Physico-chemical data from the sampling campaigns in Lake Geneva: profiles and discrete samples
DOI: 10.5281/zenodo.6421493
title: Sampling campaign data - Lake Geneva

description: Physico-chemical data from the sampling campaigns in Lake Geneva: profiles and discrete samples
DOI: 10.3886/e159041
title: Data and Code for: Laissez-faire, Social Networks, and Race in a Pandemic

description: We use unique data on nursing home networks in the United States and estimation of state-level preference for prioritizing short-term economic gains over health to analyze the effects of race, laissez-faire (more tolerance to the virus spread) policies, and network centrality on COVID-19 deaths in nursing homes. Our findings suggest that laissez-faire policies increase deaths. Nursing homes with a larger share of black residents experience more deaths, but they are less vulnerable to laissez-faire policies, especially when not central in social networks. Our findings highlight significant interactions between COVID-19 policies, race, and network structure among U.S. seniors.
description: The dataset on U.S. nursing home networks was constructed by the ``Protect Nursing Homes" project members. They used device-level geolocation data for 501,503 smartphones in at least one of the 15,307 nursing homes in the 11 weeks following the nationwide restriction on nursing home visits on March 13, 2020. We complement the dataset with the estimated values of COVID-19 tolerable infection incidence for each U.S state. . Smallest Geographic Unit: A state in the United States.
description: web scraping; The final dataset was constructed using restricted-access data on the U.S. nursing homes from Yale University’s “Protect Nursing Homes Project” and other publicly available sources.
DOI: 10.3886/e159041v1
title: Data and Code for: Laissez-faire, Social Networks, and Race in a Pandemic

description: We use unique data on nursing home networks in the United States and estimation of state-level preference for prioritizing short-term economic gains over health to analyze the effects of race, laissez-faire (more tolerance to the virus spread) policies, and network centrality on COVID-19 deaths in nursing homes. Our findings suggest that laissez-faire policies increase deaths. Nursing homes with a larger share of black residents experience more deaths, but they are less vulnerable to laissez-faire policies, especially when not central in social networks. Our findings highlight significant interactions between COVID-19 policies, race, and network structure among U.S. seniors.
description: The dataset on U.S. nursing home networks was constructed by the ``Protect Nursing Homes" project members. They used device-level geolocation data for 501,503 smartphones in at least one of the 15,307 nursing homes in the 11 weeks following the nationwide restriction on nursing home visits on March 13, 2020. We complement the dataset with the estimated values of COVID-19 tolerable infection incidence for each U.S state. . Smallest Geographic Unit: A state in the United States.
description: web scraping; The final dataset was constructed using restricted-access data on the U.S. nursing homes from Yale University’s “Protect Nursing Homes Project” and other publicly available sources.
DOI: 10.6084/m9.figshare.15189576
title: Simple 2-Patch Vaccine Model

description: <b>Impact of Population Mixing Between a Vaccinated Majority and Unvaccinated Minority on Disease Dynamics: Implications for SARS-CoV-2</b><b></b><b><br></b><b>Abstract</b><b>Background:</b> The speed of vaccine development has been a singular achievement during the SARS-CoV-2 pandemic. However, anti-vaccination movements and disinformation efforts have resulted in suboptimal uptake of available vaccines. Vaccine opponents often frame their opposition in terms of the rights of the unvaccinated. Our objective was to explore the impact of mixing of vaccinated and unvaccinated populations on risk among vaccinated individuals.<b>Methods:</b> We constructed a simple Susceptible-Infectious-Recovered (SIR) compartmental model of a respiratory infectious disease with two connected sub-populations: vaccinated individuals and unvaccinated individuals (<b>Figure 1</b>). We modeled the non-random mixing of these two groups using a matrix approach with a mixing constant varied to simulate a spectrum of patterns ranging from random mixing to complete assortativity. We evaluated the dynamics of an epidemic within each subgroup, and in the population as a whole, and also evaluated the contact-frequency-adjusted contribution of unvaccinated individuals to risk among the vaccinated.<b>Results: </b>As expected, the relative risk of infection was markedly higher among unvaccinated individuals than among vaccinated individuals. However, the contact-adjusted contribution of unvaccinated individuals to infection risk during the epidemic was disproportionate with unvaccinated individuals contributing to infection risk among the vaccinated at a rate up to 6.4 times higher than would have been expected based on contact numbers alone in the base case. As assortativity increased the final attack rate decreased among vaccinated individuals, but the contact-adjusted contribution to risk among vaccinated individuals derived from contact with unvaccinated individuals increased.<b>Interpretation:</b> While risk associated with avoiding vaccination during a virulent pandemic accrues chiefly to the unvaccinated, the choices of these individuals are likely to impact the health and safety of vaccinated individuals in a manner disproportionate to the fraction of unvaccinated individuals in the population.
DOI: 10.6084/m9.figshare.15189576.v2
title: Simple 2-Patch Vaccine Model

description: <b>Impact of Population Mixing Between a Vaccinated Majority and Unvaccinated Minority on Disease Dynamics: Implications for SARS-CoV-2</b><b></b><b><br></b><b>Abstract</b><b>Background:</b> The speed of vaccine development has been a singular achievement during the SARS-CoV-2 pandemic. However, anti-vaccination movements and disinformation efforts have resulted in suboptimal uptake of available vaccines. Vaccine opponents often frame their opposition in terms of the rights of the unvaccinated. Our objective was to explore the impact of mixing of vaccinated and unvaccinated populations on risk among vaccinated individuals.<b>Methods:</b> We constructed a simple Susceptible-Infectious-Recovered (SIR) compartmental model of a respiratory infectious disease with two connected sub-populations: vaccinated individuals and unvaccinated individuals (<b>Figure 1</b>). We modeled the non-random mixing of these two groups using a matrix approach with a mixing constant varied to simulate a spectrum of patterns ranging from random mixing to complete assortativity. We evaluated the dynamics of an epidemic within each subgroup, and in the population as a whole, and also evaluated the contact-frequency-adjusted contribution of unvaccinated individuals to risk among the vaccinated.<b>Results: </b>As expected, the relative risk of infection was markedly higher among unvaccinated individuals than among vaccinated individuals. However, the contact-adjusted contribution of unvaccinated individuals to infection risk during the epidemic was disproportionate with unvaccinated individuals contributing to infection risk among the vaccinated at a rate up to 6.4 times higher than would have been expected based on contact numbers alone in the base case. As assortativity increased the final attack rate decreased among vaccinated individuals, but the contact-adjusted contribution to risk among vaccinated individuals derived from contact with unvaccinated individuals increased.<b>Interpretation:</b> While risk associated with avoiding vaccination during a virulent pandemic accrues chiefly to the unvaccinated, the choices of these individuals are likely to impact the health and safety of vaccinated individuals in a manner disproportionate to the fraction of unvaccinated individuals in the population.
DOI: 10.3886/e154801
title: Data and Code for: Is the Partisan Divide Real? Polarization in Preferences for Redistribution

description: These files contain the program and data for the journal article "Is the Partisan Divide Real? Polarization in Preferences for Redistribution", American Economic Association Papers & Proceedings.
description: Presence of Common Scales: A Likert-type scale was used.
description: web-based survey;
DOI: 10.3886/e154801v1
title: Data and Code for: Is the Partisan Divide Real? Polarization in Preferences for Redistribution

description: These files contain the program and data for the journal article "Is the Partisan Divide Real? Polarization in Preferences for Redistribution", American Economic Association Papers & Proceedings.
description: Presence of Common Scales: A Likert-type scale was used.
description: web-based survey;
DOI: 10.3886/e162501v1
title: Data and Code for: Hidden Defaults by Horn, Reinhart and Trebesch

description: China’s lending boom to developing countries is morphing into defaults and debt distress. Given the secrecy surrounding China’s loans, also the associated defaults remain “hidden”, as missed payments and restructuring details are not disclosed. This paper constructs an encompassing dataset of sovereign debt restructurings with Chinese lenders and finds that these credit events are surprisingly frequent, exceeding the number of sovereign bond or Paris Club restructurings. Chinese lenders follow a resolution approach reminiscent of 1980s Western lenders; they seldom provide deep debt relief with face value reduction. If history is any guide, multi-year debt workouts with serial restructurings lie in store.<br><br>
DOI: 10.3886/e164561
title: Data and Code for: Scapegoating During Crises

description: This is the data and code to replicate all the figures and tables in this paper.
DOI: 10.3886/e164561v1
title: Data and Code for: Scapegoating During Crises

description: This is the data and code to replicate all the figures and tables in this paper.
DOI: 10.5517/ccdc.csd.cc2bg0pj
title: CCDC 2158427: Experimental Crystal Structure Determination

description: Related Article: Thorsten Morawitz, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.3886/e159401
title: Code and Data: Artifical Intelligence, Algorithm Design and Pricing

description: We calculate the time path of prices generated by algorithmic pricing games that differ in their learning protocols. Asynchronous learning occurs when the algorithm only learns about the return from the action it actually took. Synchronous learning occurs when the AI conducts counterfactuals to learn about the returns it would have earned had it taken an alternative action. In a simple market setting we show that synchronous updating can lead to competitive pricing, while asynchronous can lead to pricing close to monopoly levels. However, building simple economic reasoning into the asynchronous algorithms significantly modifies the prices it generates. <br>
description: Computational work<br>
DOI: 10.3886/e159401v1
title: Code and Data: Artifical Intelligence, Algorithm Design and Pricing

description: We calculate the time path of prices generated by algorithmic pricing games that differ in their learning protocols. Asynchronous learning occurs when the algorithm only learns about the return from the action it actually took. Synchronous learning occurs when the AI conducts counterfactuals to learn about the returns it would have earned had it taken an alternative action. In a simple market setting we show that synchronous updating can lead to competitive pricing, while asynchronous can lead to pricing close to monopoly levels. However, building simple economic reasoning into the asynchronous algorithms significantly modifies the prices it generates. <br>
description: Computational work<br>
DOI: 10.5519/qd.tyk0c168
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (197 records)
DOI: 10.5066/p96fabib
title: Global Earthquake Machine Learning Dataset: Machine Learning Asset Aggregation of the PDE (MLAAPDE)
DOI: 10.6084/m9.figshare.14785278
title: Genome Divergence and Dynamics in the Thin-Tailed Desert Sheep From Sudan

description: The data set includes plink ped/map files of 577, 207 autosomals of 120 sheep from African Thin-tailed Desert Sheep from Sudan.
DOI: 10.6084/m9.figshare.14785278.v4
title: Genome Divergence and Dynamics in the Thin-Tailed Desert Sheep From Sudan

description: The data set includes plink ped/map files of 577, 207 autosomals of 120 sheep from African Thin-tailed Desert Sheep from Sudan.
DOI: 10.6084/m9.figshare.14785278.v3
title: Genome Divergence and Dynamics in the Thin-Tailed Desert Sheep From Sudan

description: The data set includes plink ped/map files of 577, 207 autosomals of 120 sheep from African Thin-tailed Desert Sheep from Sudan.
DOI: 10.5066/p9bq6yrz
title: Biological and chemical data from chloride bioassays with native wetland species in natural and reconstituted Prairie Pothole waters

description: Biological endpoints for three focal test species [Daphnia magna (mortality), Psuedacris maculata (mortality, growth, and development), and Lemna gibba (growth)] in response to exposure to reconstituted or field-collected water under laboratory conditions. Field-collected waters were collected from wetlands within the Prairie Pothole Region (PPR) of the United States. Reconstituted water was mixed to mimic some chemistry of surface water from brine contaminated PPR wetlands. Also included are water quality and chemical concentration data from all assays.
DOI: 10.5517/ccdc.csd.cc25z3s2
title: CCDC 2024944: Experimental Crystal Structure Determination

description: Related Article: Shi-He Wang, Jia-Qi Li, Yan-Mei Wang, Shu Hou, Yu-Xian Chi, Jing Jin|2022|Inorg.Chim.Acta|537|120927|doi:10.1016/j.ica.2022.120927
DOI: 10.5517/ccdc.csd.cc25z3x6
title: CCDC 2024948: Experimental Crystal Structure Determination

description: Related Article: Shi-He Wang, Jia-Qi Li, Yan-Mei Wang, Shu Hou, Yu-Xian Chi, Jing Jin|2022|Inorg.Chim.Acta|537|120927|doi:10.1016/j.ica.2022.120927
DOI: 10.5517/ccdc.csd.cc29cx4r
title: CCDC 2126604: Experimental Crystal Structure Determination

description: Related Article: Tamara Petrović, Nevenka Gligorijević, Ferdinand Belaj, Sandra Aranđelović, Ljiljana E. Mihajlović-Lalić, Sanja Grgurić-Šipka, Jelena Poljarević|2022|J.Inorg.Biochem.|231|111807|doi:10.1016/j.jinorgbio.2022.111807
DOI: 10.5517/ccdc.csd.cc29cx5s
title: CCDC 2126605: Experimental Crystal Structure Determination

description: Related Article: Tamara Petrović, Nevenka Gligorijević, Ferdinand Belaj, Sandra Aranđelović, Ljiljana E. Mihajlović-Lalić, Sanja Grgurić-Šipka, Jelena Poljarević|2022|J.Inorg.Biochem.|231|111807|doi:10.1016/j.jinorgbio.2022.111807
DOI: 10.5517/ccdc.csd.cc29cx6t
title: CCDC 2126606: Experimental Crystal Structure Determination

description: Related Article: Tamara Petrović, Nevenka Gligorijević, Ferdinand Belaj, Sandra Aranđelović, Ljiljana E. Mihajlović-Lalić, Sanja Grgurić-Šipka, Jelena Poljarević|2022|J.Inorg.Biochem.|231|111807|doi:10.1016/j.jinorgbio.2022.111807
DOI: 10.5517/ccdc.csd.cc29y1kw
title: CCDC 2143078: Experimental Crystal Structure Determination

description: Related Article: Muhammad Ashfaq, Muhammad Nawaz Tahir, Khurram Shahzad Munawar, Reza Behjatmanesh-Ardakani, Hadi Kargar|2022|J.Mol.Struct.|1261|132952|doi:10.1016/j.molstruc.2022.132952
DOI: 10.5517/ccdc.csd.cc29y1lx
title: CCDC 2143079: Experimental Crystal Structure Determination

description: Related Article: Muhammad Ashfaq, Muhammad Nawaz Tahir, Khurram Shahzad Munawar, Reza Behjatmanesh-Ardakani, Hadi Kargar|2022|J.Mol.Struct.|1261|132952|doi:10.1016/j.molstruc.2022.132952
DOI: 10.5517/ccdc.csd.cc29y1my
title: CCDC 2143080: Experimental Crystal Structure Determination

description: Related Article: Muhammad Ashfaq, Muhammad Nawaz Tahir, Khurram Shahzad Munawar, Reza Behjatmanesh-Ardakani, Hadi Kargar|2022|J.Mol.Struct.|1261|132952|doi:10.1016/j.molstruc.2022.132952
DOI: 10.5517/ccdc.csd.cc2bdqvb
title: CCDC 2157192: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, Z. Yuan|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bdt9w
title: CCDC 2157268: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bdzxn
title: CCDC 2157442: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bf6pp
title: CCDC 2157652: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, J. Bould, P. J. Zheng|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bf6ww
title: CCDC 2157658: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, M.G.S. Londesborough|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bf6xx
title: CCDC 2157659: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, M.G.S. Londesborough|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bf6yy
title: CCDC 2157660: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, M.G.S. Londesborough|2022|CSD Communication|||
DOI: 10.5066/p9hoib7s
title: Download rates of the Global Food-Security-Support-Analysis Data at 30-m Resolution (GFSAD30) Cropland-Extent Products

description: The data was collected to track the usage and downloads of the Global Food Security-support Analysis Data at 30 meters (GFSAD30) Cropland Extent Product. This data supports an Open File Report titled Global Food-Security-Support-Analysis Data at 30-m Resolution (GFSAD30) Cropland-Extent Products - Download Analysis. The GFSAD30 data is available for download on the National Aeronautics and Spate Administration (NASA) Land Processes Distributed Active Archive Center (LPDAAC). LPDAAC requires users who download to sign in and provided that user data and the statistics on the frequency the products were downloaded so we could create this report.