cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9h16rc7
title: High-resolution digital elevation model of Mount St. Helens and upper North Fork Toutle River basin, based on airborne lidar surveys of August-September, 2017

description: The lateral blast, debris avalanche, and lahars of the May 18th, 1980, eruption of Mount St. Helens, Washington, dramatically altered the surrounding landscape. Lava domes were extruded during the subsequent eruptive periods of 1980-1986 and 2004-2008. During 2017, U.S. Forest Service contracted the acquisitions of airborne lidar surveys of Mount St. Helens and upper North Fork Toutle River basin, part of a larger 2017-2018 survey of the Gifford Pinchot National Forest. The U.S. Geological Survey combined and reprojected 81 raster datasets, provided by the U.S. Forest Service in October 2018, into a single digital elevation model (DEM) of the ground surface, including beneath forest cover (that is, 'bare earth'). This USGS data release contains digital elevation data as a 1-meter resolution raster dataset (.tif file). This DEM can support a variety of earth science investigations.
DOI: 10.5281/zenodo.7617278
title: ReqElic In My Company Responses Anonymized

description: The anonymized collected responses from the survey at &lt;doi: 10.5281/zenodo.7616991&gt; in .xlsx form
DOI: 10.5281/zenodo.7675783
title: Sources of PM2.5-associated Health Risks in Europe and Corresponding Emission-induced Changes during 2005-2015

description: -New data generated for 2022GH000767 -Including the calculated sensitivities of the total PM2.5-related premature deaths in Europe to anthropogenic emissions of SO2, NOx, NH3, OC, BC, and secondary organic aerosol precursors (SOAP) in 2015 -Including the simulated annual mean PM2.5 exposure and PM2.5-related premature death in 2015 from the base simulation and the sensitivity experiment in which all inputs of the boundary conditions were reduced by 20% (BC20), respectively. -All the data were generated by the GEOS-Chem model and its adjoint
DOI: 10.6084/m9.figshare.20407857
title: LHScat

description: The global long-term, high resolution satellite radar backscatter (LHScat) dataset created by merging ERS, QSCAT, and ASCAT.
DOI: 10.5281/zenodo.3827969
title: Locally Injective Mappings Benchmark

description: We are glad to release the benchmark dataset of 2D/3D meshes in our Siggraph 2020 paper Lifting Simplices to Find Injectivity The dataset collects challenging examples from recent papers on fixed boundary injective mappings. It also includes hundreds of newly created examples. The dataset includes <em>10743</em> triangular mesh examples and <em>904</em> tetrahedral mesh examples. The examples are divided into 3 categories, 2D parameterization, 3D parameterization and 3D deformation. We hope that our dataset offers a benchmark for future research in this area. A more detailed introduction to the dataset can be find here.
DOI: 10.4225/08/546aa009190c4
title: Silicon Nanoparticle Structure Set

description: This is a set of 303 silicon nanoparticle INITIAL CONFIGURATIONS, for use in computational studies. These structures have not been optimized or relaxed. Sizes range from 29 Si atoms to 2922 Si atoms, with all surfaces terminated with H atoms.  For clean structures, simply delete the H atoms from the files. All files are in XYZ format, and the naming convention is [structure number].Si_[number of silicon atoms].H_[number of hydrogen atoms].xyz .  A spreadsheet is provided with descriptions of the geometric shape, average Si-Si coordination number, and spherically averaged hydrostatic diameter.
DOI: 10.6084/m9.figshare.22117664
title: Supplementary Material for: The Role of Pulmonary Function Testing and Lung Imaging in the Long-Term Follow-Up of Patients with COVID-19 Pneumonia Role of Pulmonary Function Tests and High-Resolution Computed Tomography in Post-COVID-19 Interstitial Lung Disease

description: <b><i>Background:</i></b> Post-COVID-19 Interstitial Lung Disease (PC-ILD) is characterized by fibrotic-like signs at high-resolution computed tomography (HRCT) and pulmonary function tests (PFTs) abnormalities after SARS-CoV-2 infection. It is still not clear how frequent these tests should be performed to rule out long-term consequences of COVID-19 pneumonia. <b><i>Objectives:</i></b> The aims of our study were to evaluate the incidence and risk factors of PC-ILD and possibly to propose a long-term follow-up program. <b><i>Method:</i></b> One-hundred patients, hospitalized in our ward for moderate to critical COVID-19, underwent two follow-up visits at three and 15 months in which PFTs and HRCT were performed. <b><i>Results:</i></b> At the 15-month follow-up, 8% of patients showed residual radiological and functional signs consistent with PC-ILD. All but one of these patients had already demonstrated PFTs and HRCT alterations at first follow-up visit, and the last 1 patient showed worsening of lung function during follow-up. These findings highlight the negative predictive value of PFTs at 3-month follow-up for the development of PC-ILD. Aging, severity of COVID-19, and degree of pulmonary involvement during acute infection proved to be significant risk factors for developing PC-ILD. <b><i>Conclusions:</i></b> Our study highlights the importance of PFTs in the long-term follow-up of patients affected by moderate to critical COVID-19 pneumonia. Further studies are needed to confirm our hypothesis that HRCT should be performed only in patients with PFTs abnormalities.
DOI: 10.6084/m9.figshare.20391168
title: Hilsa Transcriptome Datasets

description: A transcriptomic catalog of <em>Tenualosa ilisha</em> (Hilsa shad), constructed by assembling RNA-Seq reads generated in the next generation sequencing (NGS) platform from different tissues including brain, gill, kidney, liver, and muscle collected from different aquatic habitats (fresh, brackish, and sea waters). <em>De novo</em> assembly of the sequences obtained from 46 cDNA libraries revealed 462,085 transcript isoforms that were subsequently annotated using the Universal Protein Resource Knowledgebase (UniPortKB) as a reference.
DOI: 10.1285/i15900932v33n1p107
title: Representation growth and representation zeta functions of groups

description: We give a short introduction to the subject of representation growth and representation zeta functions of groups, omitting all proofs. Our focus is on results which are relevant to the study of arithmetic groups in semisimple algebraic groups, such as the group    (Z) consisting of n x n integer matrices of determinant 1 . In the last two sections we state several results which were recently obtained in joint work with N. Avni, U.Onn and C.Voll.
DOI: 10.5281/zenodo.3755988
title: Loon Stratospheric Sensor Data

description: This data set contains flight data from Loon, a Google project and later an Alphabet subsidiary that provided wireless internet access to rural areas using high-altitude balloons. The data set includes GPS and sensor data from all 2,131 flights across the project's entire nine-and-a-half year history, from the first sounding balloon experiment in August, 2011, through the last balloon landing in May, 2021. In total the data set comprises over 218 flight-years of data (over 127 million telemetry points), the vast majority from altitudes between 50 and 110 hPa (approximately 15.5 to 21 km above sea level). Please see README.md within the dataset for more details.
DOI: 10.3886/icpsr06740.v2
title: Dutch Parliamentary Election Study, 1994
title: Version 2

description: This survey, the ninth in a series of election studies from the Netherlands, focuses on the May 3, 1994, elections for the Second Chamber of Parliament. This election occurred after the Lubbers-III Cabinet formed by the political parties CDA and Pvda had reached the end of its term. The survey was administered in two waves, one conducted before the election and one following the vote. In the first wave, respondents provided information on their interest in politics, what they considered the most important national problem, how they intended to vote in the upcoming election, political party membership and affiliation, attitudes toward government policies and officials, opinions on political and social issues such as crime, minorities, nuclear energy, and income differences, and a variety of personal and demographic characteristics. Many first-wave items were repeated in the second wave. During the second wave, respondents also reported the name of the party they had voted for in the election and their reasons for doing so. Other variables recorded voter perceptions of the stance of various political parties on issues such as crime, unemployment, pollution, and economic concerns, voter knowledge of national politicians, rating of political parties based on a 10-point left-right scale, attitudes toward politics and the effectiveness of government, union membership, and opinions on European unification. Respondents were also asked to describe how they would participate in the governing process if they thought that the Second Chamber of Parliament was about to consider a bill that the voter thought unjust, and, in addition, to state which national goals should receive the highest priority.
description: Datasets: 
 
 DS1: Main Data File
description: Dutch Parliamentary Election Study (DPES) Series
description: The data file contains string variables which are 255 characters. Due to SAS limitations, these variables were split in the SAS data definition statements. As a result, 509 variables are identified in the SAS data definition statements.
The data collection instruments are written in Dutch.
description: Members of the Dutch electorate at the time of the 1994 parliamentary election.
description: A sample of 4,000 households was drawn from the Geographic Base Register, which is based to a large extent on the national mail delivery register of the Netherlands. From all eligible citizens within each household, one person was randomly selected by interviewing the person whose birthday was first. No substitution by another person was allowed in the case of refusal, no-contact, or other factors precluding an interview.
DOI: 10.3886/icpsr09950.v1
title: Dutch Parliamentary Election Study, 1989
title: Version 1

description: This survey, the eighth in a series of election studies from the Netherlands, focuses on the September 6, 1989, elections for the Second Chamber of Parliament. These elections were called early due to the fall of the Lubbers-II cabinet on May 2. The survey was administered in two waves, one conducted before the election and one following the vote. In the first wave, respondents provided information on their interest in politics, what they considered the most important national problem, how they intended to vote in the upcoming election, political party membership and affiliation, attitudes toward government policies and officials, opinions on political and social issues such as abortion, nuclear energy, income differences, and environmental pollution, and on a variety of personal and demographic characteristics. During the second wave, respondents reported the name of the party they had voted for in the election and their reasons for doing so. Other variables recorded voter perceptions of the stance of various political parties on issues such as euthanasia, nuclear weapons, economic concerns, voter knowledge of national politicians, rating of political parties based on a 10-point left-right scale, attitudes toward politics and the effectiveness of government, union membership, and future vote intentions. Respondents were also asked to describe how they would participate in the governing process if they thought that the Second Chamber of Parliament was about to consider a bill that the voter thought unjust, and, in addition, to state which national goals should receive the highest priority.
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Data File 
 DS2: SAS Data Definition Statements
description: Dutch Parliamentary Election Study (DPES) Series
description: Produced by the Dutch Electoral Research Foundation, and the Netherlands Central Bureau of Statistics, Amsterdam, the Netherlands, 1993.
description: Members of the Dutch electorate at the time of the 1989 parliamentary election.
description: A sample of 4,000 households was drawn from the Geographic Base Register, which is based to a large extent on the national mail delivery register of the Netherlands. From all eligible citizens within each household, one person was randomly selected by interviewing the person whose birthday was first. No substitution by another person was allowed in case of refusal, no-contact, or other factors precluding an interview.
DOI: 10.3886/e189861
title: Code for: Homophily and Community Structure at Scale: An Application to a Large Professional Network

description: This package contains the replication code for the results in the paper "Homophily and Community Structure at Scale: An Application to a Large Professional Network" (Dahbura, et. al. 2023). The paper presents an estimation of a Hierarchical Exponential-Family Random Graph Model (HERGM), employing the approach described in Schweinberger, et. al. (2018) using an efficient implementation of the algorithm, as described in Dahbura, et. al. (2021).The code in this package replicates the summary statistics, plots and tables found in the manuscript. The code that processes the data and performs the estimation is written in R, and is meant to be run using Docker.
DOI: 10.5281/zenodo.3514967
title: Supporting data for "Simultaneous monitoring of crystalline active materials and resistance evolution in lithium-sulfur batteries"

description: This is the dataset of electrochemical and operando X-ray diffracytion experiments for our publication "Simultaneous monitoring of crystalline active materials and resistance evolution in lithium-sulfur batteries". This archive contains the raw data and scripts written in R used in the analysis and presentation of the results in this manuscript. <strong>Abstract for the manuscript:</strong> Operando X-ray diffraction (XRD) is a valuable tool for studying secondary battery materials as it allows for the direct correlation of electrochemical behavior with structural changes of crystalline active materials. This is especially true for the lithium-sulfur chemistry, in which energy storage capability depends on the complex growth and dissolution kinetics of lithium sulfide (Li<sub>2</sub>S) and sulfur (S<sub>8</sub>) during discharge and charge, respectively. In this work, we present a novel development of this method through combining operando XRD with simultaneous and continuous resistance measurement using an Intermittent Current Interruption (ICI) method. We show that a coefficient of diffusion resistance, which reflects the transport properties in the sulfur/carbon composite electrode, can be determined from analysis of each current interruption. Its relationship to the established Warburg impedance model is validated theoretically and experimentally. We also demonstrate for an optimized electrode formulation and cell construction that the diffusion resistance increases sharply at the discharge end point, which is consistent with the blocking of pores in the carbon host matrix. The combination of XRD with ICI allows for a direct correlation of structural changes with not only electrochemical properties but also energy loss processes at a non-equilibrium state, and therefore is potentially highly valuable for the study of many other energy storage chemistries.
DOI: 10.3886/e189861v1
title: Code for: Homophily and Community Structure at Scale: An Application to a Large Professional Network

description: This package contains the replication code for the results in the paper "Homophily and Community Structure at Scale: An Application to a Large Professional Network" (Dahbura, et. al. 2023). The paper presents an estimation of a Hierarchical Exponential-Family Random Graph Model (HERGM), employing the approach described in Schweinberger, et. al. (2018) using an efficient implementation of the algorithm, as described in Dahbura, et. al. (2021).The code in this package replicates the summary statistics, plots and tables found in the manuscript. The code that processes the data and performs the estimation is written in R, and is meant to be run using Docker.
DOI: 10.5281/zenodo.7819594
title: Empty micelle - 60 SDS - Na neutralized - CHARMM36m - 293K - TIP4P-2005 water model

description: Empty micelle simulation to investigate the effect of water model and peptide on SRD.
DOI: 10.5281/zenodo.7819593
title: Empty micelle - 60 SDS - Na neutralized - CHARMM36m - 293K - TIP4P-2005 water model

description: Empty micelle simulation to investigate the effect of water model and peptide on SRD.
DOI: 10.3886/e189501
title: Data and code for "Do Health Disparities Narrow with Pollution Disparities? Trends from California"

description: This is the data and code accompanying the article "Do Health Disparities Narrow with Pollution Disparities? Trends from California".
description: Data on California zip codes for 2006-2017.
DOI: 10.3886/e189501v1
title: Data and code for "Do Health Disparities Narrow with Pollution Disparities? Trends from California"

description: This is the data and code accompanying the article "Do Health Disparities Narrow with Pollution Disparities? Trends from California".
description: Data on California zip codes for 2006-2017.
DOI: 10.3886/e189823
title: Data and Code for: The Incarceration Penalty and Black-White Economic Inequality

description: This paper investigates income and wealth gaps by household incarceration history within and across racial groups using the Blinder-Oaxaca decomposition. We study this in the context of Baltimore, Maryland using data from the 2017 Baltimore National Asset Scorecard for Communities of Color (NASCC) survey.
DOI: 10.3886/e189823v1
title: Data and Code for: The Incarceration Penalty and Black-White Economic Inequality

description: This paper investigates income and wealth gaps by household incarceration history within and across racial groups using the Blinder-Oaxaca decomposition. We study this in the context of Baltimore, Maryland using data from the 2017 Baltimore National Asset Scorecard for Communities of Color (NASCC) survey.
DOI: 10.3886/e183988v1
title: Data and Code for: Behavioral nudges reduced dropout risk among vulnerable students during the pandemic: experimental evidence from Brazil

description: In a companion paper (Lichand, Christen and Van Egeraat, 2022), we documented that, in effect, learning losses in the context of the Covid-19 pandemic were significantly magnified by the fact that most schools neglected students' socio-emotional skills during the transition to remote learning. Taking advantage of a cluster randomized control trial that sent students or their parents text messages targeting their socio-emotional skills during 2020, we showed that such messages were able to prevent 7.5\% of learning losses in math and 24\% in Portuguese. In this paper, we study whether the intervention also reduced dropout risk, especially amongst the students at the highest risk of abandoning school.
DOI: 10.3886/e189221
title: Data and Code for: Unlocked Potential: Work-from-Home Job Postings in 20 OECD Countries

description: The COVID-19 pandemic has resulted in the widespread adoption of work-from-home (WFH) arrangements. In this study, we investigate the adoption of WFH across countries and occupations through September of 2022 using a unique dataset of online job postings sourced from the job site Indeed. This dataset tracks the share of job postings advertising WFH in 55 different occupational categories across 20 countries: Australia, Austria, Belgium, Canada, France, Germany, Ireland, Israel, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Poland, Spain, Sweden, Switzerland, the United Kingdom, and the United States.
DOI: 10.3886/e189221v1
title: Data and Code for: Unlocked Potential: Work-from-Home Job Postings in 20 OECD Countries

description: The COVID-19 pandemic has resulted in the widespread adoption of work-from-home (WFH) arrangements. In this study, we investigate the adoption of WFH across countries and occupations through September of 2022 using a unique dataset of online job postings sourced from the job site Indeed. This dataset tracks the share of job postings advertising WFH in 55 different occupational categories across 20 countries: Australia, Austria, Belgium, Canada, France, Germany, Ireland, Israel, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Poland, Spain, Sweden, Switzerland, the United Kingdom, and the United States.
DOI: 10.6084/m9.figshare.22704478
title: Lime blue and poison lake bacteria metagenome-assembled genomes (MAGs)

description: Individual fasta files containing the MAGs resolved from Lime Blue and Poison lake metagenomes
DOI: 10.6084/m9.figshare.22704478.v1
title: Lime blue and poison lake bacteria metagenome-assembled genomes (MAGs)

description: Individual fasta files containing the MAGs resolved from Lime Blue and Poison lake metagenomes
DOI: 10.3886/e189781
title: Data and Code For: The Great Startup Sellout and the Rise of Oligopoly

description: We deposit the replication materials for Ederer and Pellegrino (AEA Papers & Proceedings May 2023)
DOI: 10.3886/e189781v1
title: Data and Code For: The Great Startup Sellout and the Rise of Oligopoly

description: We deposit the replication materials for Ederer and Pellegrino (AEA Papers & Proceedings May 2023)
DOI: 10.3886/e189681
title: Data and Code For: Competition, Motivation and Student Engagment

description: We consider the gamification aspect of a technology that delivers small daily tasks to students to analyze how competition motivates engagement. We randomly assigned 400 students into teams of up to ten, who compete by committing to the daily task and then acknowledging their completion later in the day. Using data collected from the leaderboard, we test whether student engagement with respect to competition varies systematically by gender and by the level of anonymity. Not surprisingly, being ranked in the top three is highly motivating. However, among lower-ranked students, male students tend to disengage when usernames are not anonymous. <br> The code in this replication package generates the data and runs the analyses for the 3 tables in the paper. The replicator should expect the code to run for a few moments. <br><br>
DOI: 10.3886/e189681v1
title: Data and Code For: Competition, Motivation and Student Engagment

description: We consider the gamification aspect of a technology that delivers small daily tasks to students to analyze how competition motivates engagement. We randomly assigned 400 students into teams of up to ten, who compete by committing to the daily task and then acknowledging their completion later in the day. Using data collected from the leaderboard, we test whether student engagement with respect to competition varies systematically by gender and by the level of anonymity. Not surprisingly, being ranked in the top three is highly motivating. However, among lower-ranked students, male students tend to disengage when usernames are not anonymous. <br> The code in this replication package generates the data and runs the analyses for the 3 tables in the paper. The replicator should expect the code to run for a few moments. <br><br>
DOI: 10.6084/m9.figshare.22701454
title: RLHF Benchmark for Multimodal Figure-Caption Generation

description: This benchmark data consists of a small set of actual human feedback on figure-caption pairs, along with a large set of predicted human feedback for over 100k figure-caption pairs. Please see the readme for further details.