cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e134681
title: The Effects of the COVID-19 Crisis on Resident Wellbeing in a Community Teaching Hospital

description: Abstract: <br>Background: In the Spring of 2020, Stamford, Connecticut was one of the epicenters of the COVID-19 pandemic surge within the New York Metro area. At Stamford Hospital (SH), the healthcare environment changed dramatically for residents, who are vital members of the innovative emergency response teams at our hospital. Objective This study aims to describe the impact of COVID-19 pandemic on residents’ wellbeing before, during, and after the first surge at a community teaching hospital. Methods In July 2020, an anonymous Likert-scale questionnaire was distributed to Internal Medicine (IM) and Family Medicine (FM) residents after the first COVID-19 surge at SH. Questions addressed pertinent issues including stress levels, sense of support, wellness sessions, and academics before, during, and after the first COVID-19 peak at our institution. Results Twenty-seven residents completed the questionnaire, yielding a response rate of 80%. Residents’ self-reported mood, stress, and workload levels were all effected during the first COVID-19 peak compared to before and after (p-values: = 0.001). Concern for personal and loved ones’ wellbeing both significantly increased during the peak compared to before and after (p-values: = 0.001). Conclusions The COVID-19 crisis dramatically impacted residents’ general wellbeing. As the pandemic continues, it is paramount to address the effects the pandemic had and will continue to have on residents’ stress, academics, and support systems. Establishing strategies and resources directed toward addressing these areas can support wellbeing and alleviate the already high rates of stress and anxiety among residents.
DOI: 10.3886/e107827v1-81120
title: Prevention and Treatment of Problem Behaviors in Young Children: Clinical Implications From a Randomized Controlled Trial of BEST in CLASS

description: This study investigates the effectiveness of BEST in CLASS, a classroom-based indicated preventive intervention targeting young children at risk for EBD, in terms of producing clinically meaningful reductions of problem behaviors and improvements in social skills. A total of 185 early childhood teachers (92 in the treatment condition) and 462 young children (230 in treatment) participated in the study. Teachers completed rating scale measures of problem behaviors and social skills. The clinical significance of the findings indicated that the BEST in CLASS condition had a lower percentage of children with clinical or borderline range scores at posttest when compared with children in the control classrooms. The BEST in CLASS prevention model, clinically significant intervention outcomes, and prevention of EBD are discussed.
description: Preschool age children at risk for emotional-behavioral disabilities.
DOI: 10.3886/e134681v1
title: The Effects of the COVID-19 Crisis on Resident Wellbeing in a Community Teaching Hospital

description: Abstract: <br>Background: In the Spring of 2020, Stamford, Connecticut was one of the epicenters of the COVID-19 pandemic surge within the New York Metro area. At Stamford Hospital (SH), the healthcare environment changed dramatically for residents, who are vital members of the innovative emergency response teams at our hospital. Objective This study aims to describe the impact of COVID-19 pandemic on residents’ wellbeing before, during, and after the first surge at a community teaching hospital. Methods In July 2020, an anonymous Likert-scale questionnaire was distributed to Internal Medicine (IM) and Family Medicine (FM) residents after the first COVID-19 surge at SH. Questions addressed pertinent issues including stress levels, sense of support, wellness sessions, and academics before, during, and after the first COVID-19 peak at our institution. Results Twenty-seven residents completed the questionnaire, yielding a response rate of 80%. Residents’ self-reported mood, stress, and workload levels were all effected during the first COVID-19 peak compared to before and after (p-values: = 0.001). Concern for personal and loved ones’ wellbeing both significantly increased during the peak compared to before and after (p-values: = 0.001). Conclusions The COVID-19 crisis dramatically impacted residents’ general wellbeing. As the pandemic continues, it is paramount to address the effects the pandemic had and will continue to have on residents’ stress, academics, and support systems. Establishing strategies and resources directed toward addressing these areas can support wellbeing and alleviate the already high rates of stress and anxiety among residents.
DOI: 10.3886/e112892v1-81160
title: Replication data for: WTO Accession and Performance of Chinese Manufacturing Firms

description: We examine the effects of trade liberalization in China on the evolution of markups and productivity of manufacturing firms. Although these dimensions of performance cannot be separately identified when firm output is measured by revenue, detailed price deflators make it possible to estimate the average effect of tariff reductions on both. Several novel findings emerge. First, cuts in output tariffs reduce markups, but raise productivity. Second, pro-competitive effects are most important among incumbents, while efficiency gains dominate for new entrants. Third, cuts in input tariffs raise both markups and productivity. We highlight mechanisms that explain these findings in the Chinese context.
DOI: 10.3886/e120321v6-81200
title: Global Reactions to COVID-19 on Twitter: A Labelled Dataset with Latent Topic, Sentiment and Emotion Attributes

description: This project aims to present a large dataset for researchers to discover public conversation on Twitter surrounding the COVID-19 pandemic. As strong concerns and emotions are expressed in the publicly available tweets, we annotated seventeen latent semantic attributes for each public tweet using natural language processing techniques and machine-learning based algorithms. The latent semantic attributes include: 1) ten attributes indicating the tweet’s relevance to ten detected topics, 2) five quantitative attributes indicating the degree of intensity in the valence (i.e., unpleasantness/pleasantness) and emotional intensities across four primary emotions of fear, anger, sadness and joy, and 3) two qualitative attributes indicating the sentiment category and the most dominant emotion category, respectively.
description: Twitter posts.
DOI: 10.3886/e132981v1-81180
title: COVID-19 and Mental Health; 26 March to 7 April 2020, Slovenia

description: The aim of the study was to obtain the first psychological responses and observe mental status of Slovenes at the beginning of the Covid-19 pandemic during the first lockdown in Slovenia.<br><br>Specifically, we explored how people experience changes in daily life during an epidemic and how these are related to various aspects of mental health (e.g., experiencing anxiety, loneliness, worries, psychological well-being, potential positive changes in an individual’s life).<br><br>This is an online study, utilizing convenience sampling. The data were collected from 26 March to 7 April 2020. Altogether, 311 people participated in the study, including 259 women. The participants were aged from 19 to 77 years old (M = 33.79, SD = 11,69). Informed consent was obtained from all individual participants included in the study. <br><br>The measures used in the study were admistred in Slovene language. They included:<br>- Demographic variables,<br>- Demographic variables related to work and COVID-19,<br>- Variables on SARS-Cov-2 infection,<br>- Anxiety as a state (STAI, six items; Marteau and Bekker, 1992),<br>- Anxiety as a trait (STAI, five items; Zsido, 2020),<br>- Psychological well-being (WHO-5; WHO, 1998),<br>- Loneliness (De Jong Gierveld Loneliness Scale; De Jong Gierveld and Van Tilburg 2006 and Three-Item Loneliness Scale; Hudges et al, 2004),<br>- Qualitative measures (biggest worries, psychological needs, positive changes),<br>- Variables on preventive activities.
DOI: 10.3886/e113806v1-81220
title: Replication data for: When the Saints Go Marching Out: Long-Term Outcomes for Student Evacuees from Hurricanes Katrina and Rita

description: I examine long-term academic performance and college going for students affected by Hurricanes Katrina and Rita. Students who are forced to switch schools due to the hurricanes experience sharp declines in test scores in the first year following the hurricanes. However, by the third and fourth years after the disaster, evacuees displaced from Orleans Parish see a 0.18 standard deviation improvement in scores. Gains are concentrated among students initially in the lowest quintiles of the test score distribution. Katrina evacuees do not show gains in college going relative to earlier cohorts from their same pre-hurricane high schools. (JEL I20, Q54, R23).
DOI: 10.3886/e113466v1-81080
title: Replication data for: Childhood Environment and Gender Gaps in Adulthood

description: We show that differences in childhood environments shape gender gaps in adulthood by documenting three facts using population tax records for children born in the 1980s. First, gender gaps in employment rates, earnings, and college attendance vary substantially across the parental income distribution. Notably, the traditional gender gap in employment rates is reversed for children growing up in poor families: boys in families in the bottom quintile of the income distribution are less likely to work than girls. Second, these gender gaps vary substantially across counties and commuting zones in which children grow up. The degree of variation in outcomes across places is largest for boys growing up in poor, single-parent families. Third, the spatial variation in gender gaps is highly correlated with proxies for neighborhood disadvantage. Low-income boys who grow up in high-poverty, high-minority areas work significantly less than girls. These areas also have higher rates of crime, suggesting that boys growing up in concentrated poverty substitute from formal employment to crime. Together, these findings demonstrate that gender gaps in adulthood have roots in childhood, perhaps because childhood disadvantage is especially harmful for boys.
DOI: 10.3886/e120321v6-81100
title: Global Reactions to COVID-19 on Twitter: A Labelled Dataset with Latent Topic, Sentiment and Emotion Attributes

description: This project aims to present a large dataset for researchers to discover public conversation on Twitter surrounding the COVID-19 pandemic. As strong concerns and emotions are expressed in the publicly available tweets, we annotated seventeen latent semantic attributes for each public tweet using natural language processing techniques and machine-learning based algorithms. The latent semantic attributes include: 1) ten attributes indicating the tweet’s relevance to ten detected topics, 2) five quantitative attributes indicating the degree of intensity in the valence (i.e., unpleasantness/pleasantness) and emotional intensities across four primary emotions of fear, anger, sadness and joy, and 3) two qualitative attributes indicating the sentiment category and the most dominant emotion category, respectively.
description: Twitter posts.
DOI: 10.21227/m3xz-6v28
title: January-18-Cho-Young-Ho

description: I predicted weekdays and weekends separately.To this end, I divided the data and trained it through Long Short-Term Memory(LSTM).In order to predict more accurately, I collected and trained each day's peak value seperately.And using this predicted peak, I corrected the data over the 24 hours predicted earlier.
DOI: 10.5281/zenodo.4604693
title: Smartblades 2 finite element reference wind turbine blade model

description: The dataset includes a reference finite element model of a wind turbine blade. In the projects SmartBlades and SmartBlades 2 a 20m rotor blade for the NREL CART3 HAWT has been designed, built and tested in full-scale. The dataset provides the validated a wind turbine blade model for this 20m blade. The various sensor plots and a plotting script are provided as well. The experimental data was measured by Fraunhofer IWES in Bremerhaven by Bernd Haller and his team. https://www.iwes.fraunhofer.de/
description: Funding provided by the German Federal Ministry for Economic Affairs and Energy (Funding number: 0324032)
description: {"references": ["Gundlach, J. and Govers, Y.: Experimental modal analysis of aeroelastic tailored rotor blades in different boundary conditions, IOP Conf. Series: Journal of Physics: Conf. Series, https://doi.org/10.1088/1742-6596/1356/1/012023, 2019", "Haller, Bernd, & Noever-Castelos, Pablo. (2021). Full scale blade test of a 20 m wind turbine blade within the SmartBlades2 project (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4605409"]}
DOI: 10.5281/zenodo.3628355
title: Smartblades 2 finite element reference wind turbine blade model

description: The dataset includes a reference finite element model of a wind turbine blade. In the projects SmartBlades and SmartBlades 2 a 20m rotor blade for the NREL CART3 HAWT has been designed, built and tested in full-scale. The dataset provides the validated a wind turbine blade model for this 20m blade. The various sensor plots and a plotting script are provided as well. The experimental data was measured by Fraunhofer IWES in Bremerhaven by Bernd Haller and his team. https://www.iwes.fraunhofer.de/
description: Funding provided by the German Federal Ministry for Economic Affairs and Energy (Funding number: 0324032)
description: {"references": ["Gundlach, J. and Govers, Y.: Experimental modal analysis of aeroelastic tailored rotor blades in different boundary conditions, IOP Conf. Series: Journal of Physics: Conf. Series, https://doi.org/10.1088/1742-6596/1356/1/012023, 2019", "Haller, Bernd, & Noever-Castelos, Pablo. (2021). Full scale blade test of a 20 m wind turbine blade within the SmartBlades2 project (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4605409"]}
DOI: 10.15468/yfefqf
title: A new species of the genus Phonotimpus Gertsch & Davis (Araneae: Phrurolithidae) from Mexico and the transfer of Gosiphrurus schulzefenai Chamberlin & Ivie to Phonotimpus

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chamé-Vázquez, David, Campuzano, Emmanuel F., Ibarra-Núñez, Guillermo (2021): A new species of the genus Phonotimpus Gertsch & Davis (Araneae: Phrurolithidae) from Mexico and the transfer of Gosiphrurus schulzefenai Chamberlin & Ivie to Phonotimpus. Zootaxa 4938 (5): 571-580, DOI: https://doi.org/10.11646/zootaxa.4938.5.4
DOI: 10.5281/zenodo.4607867
title: Dagstuhl ChoirSet

description: Dagstuhl ChoirSet is a multitrack dataset of a cappella choral music designed to support MIR research on choral singing. The dataset includes recordings of an amateur vocal ensemble performing two choir pieces in full choir and quartet settings. The audio data was recorded during an MIR seminar at Schloss Dagstuhl using different close-up microphones to capture the individual singers’ voices. A detailed documentation of this dataset can be found in: Sebastian Rosenzweig, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, and Meinard Müller:<br> <strong>Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing</strong>.<br> Transactions of the International Society for Music Information Retrieval, 3(1), pp. 98–110, 2020.<br> DOI: https://doi.org/10.5334/tismir.48
DOI: 10.15468/258fph
title: Early Permian silicified floras from the Perdasdefogu Basin (SE Sardinia): comparison and bio-chronostratigraphic correlation with the floras of the Autun Basin (Massif central, France)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Galtier, Jean, Ronchi, Ausonio, Broutin, Jean (2011): Early Permian silicified floras from the Perdasdefogu Basin (SE Sardinia): comparison and bio-chronostratigraphic correlation with the floras of the Autun Basin (Massif central, France). Geodiversitas 33 (1): 43-69, DOI: 10.5252/g2011n1a4, URL: http://dx.doi.org/10.5252/g2011n1a4
DOI: 10.6084/m9.figshare.13565168.v4
title: TGIF-DB datasets

description: Sequences and homology search results for TGIF-DB.
DOI: 10.5281/zenodo.3871801
title: Polluting the pair-instability mass gap for binary black holes through super-Eddington accretion in isolated binaries

description: These are the results from: "Polluting the pair-instability mass gap for binary black holes through super-Eddington accretion in isolated binaries"<br> Authors: L.A.C. van Son, S. E. de Mink, F. S. Broekgaarden, M. Renzo, S. Justham, E. Laplace, J. Moran-Fraile, D. D. Hendriks, and R. Farmer ADS: https://ui.adsabs.harvard.edu/abs/2020arXiv200405187V/abstract<br> arXiv: https://arxiv.org/abs/2004.05187 If you use (part of) these results in a scientific publication, we would greatly appreciate it if you would cite the source paper. This work uses COMPAS to compute binary population properties (https://github.com/TeamCOMPAS/COMPAS/tree/master/docs). ***************************** For each of our 4 model variations (0. Fiducial, 1. Stable accretion, 2. Common envelope accretion and 3. Combined) we provide 2 files: 1.) pythonSubmit.py file describing the initial conditions that were used to run the simulations 2.) COMPASOutput.h5 file, which contains the following datasets resulting from our simulations :<br> ['systems',<br> 'doubleCompactObjects',<br> 'commonEnvelopes',<br> ] Detailed descriptions of these groups can be found in the accompanying README file.
DOI: 10.5281/zenodo.3746935
title: Polluting the pair-instability mass gap for binary black holes through super-Eddington accretion in isolated binaries

description: These are the results from: "Polluting the pair-instability mass gap for binary black holes through super-Eddington accretion in isolated binaries"<br> Authors: L.A.C. van Son, S. E. de Mink, F. S. Broekgaarden, M. Renzo, S. Justham, E. Laplace, J. Moran-Fraile, D. D. Hendriks, and R. Farmer ADS: https://ui.adsabs.harvard.edu/abs/2020arXiv200405187V/abstract<br> arXiv: https://arxiv.org/abs/2004.05187 If you use (part of) these results in a scientific publication, we would greatly appreciate it if you would cite the source paper. This work uses COMPAS to compute binary population properties (https://github.com/TeamCOMPAS/COMPAS/tree/master/docs). ***************************** For each of our 4 model variations (0. Fiducial, 1. Stable accretion, 2. Common envelope accretion and 3. Combined) we provide 2 files: 1.) pythonSubmit.py file describing the initial conditions that were used to run the simulations 2.) COMPASOutput.h5 file, which contains the following datasets resulting from our simulations :<br> ['systems',<br> 'doubleCompactObjects',<br> 'commonEnvelopes',<br> ] Detailed descriptions of these groups can be found in the accompanying README file.
DOI: 10.5281/zenodo.4607939
title: Initial particles position files of FMGDM_v1.0 application cases: greet tides in the YS, China

description: There are the initial particles position imformation of 7 simulate cases which are <br> applicated in FMGDM v1.0, and simulate the green tides bloomed in the Yellow Sea, <br> China. The latitude, longtitude and depth of initial particles are include in the files. These application cases are described in detail in the manuscript:<br> A Lagrangian-based Floating Macroalgal Growth and Drift Model (FMGDM v1.0): applic<br> -ation in the green tides of the Yellow Sea.
DOI: 10.5281/zenodo.4607938
title: Initial particles position files of FMGDM_v1.0 application cases: greet tides in the YS, China

description: There are the initial particles position imformation of 7 simulate cases which are <br> applicated in FMGDM v1.0, and simulate the green tides bloomed in the Yellow Sea, <br> China. The latitude, longtitude and depth of initial particles are include in the files. These application cases are described in detail in the manuscript:<br> A Lagrangian-based Floating Macroalgal Growth and Drift Model (FMGDM v1.0): applic<br> -ation in the green tides of the Yellow Sea.
DOI: 10.5066/p9wumm1p
title: Northern tamarisk beetle impact and classification maps, Grand Canyon National Park, Arizona

description: These data are satellite image-derived, classification maps of tamarisk (Tamarisk spp.) along the Colorado River in Grand Canyon National Park from river km 315 to 363, approximately from Parashant Canyon to Diamond Creek tributaries. The classification maps are published in TIF raster format. Two maps are published: 1) a classification of healthy, defoliated, and tamarisk canopy dieback from the tamarisk beetle (Diorhabda carinulata) in May 2019, and 2 a classification of healthy and beetle-impacted tamarisk in August 2019. Tamarisk was mapped using a Spectral Angle Mapper supervised classification derived from 2 m resolution, multispectral WorldView-2 imagery, with an overall accuracy of 80.0% in May 2019 and 83.1% in August 2019. The area of healthy, defoliated, and canopy dieback totaled 43.6, 2.9, and 18.2 ha, respectively, in May, and the area of healthy and beetle-impacted tamarisk totaled 19.1 and 35.6 ha, respectively, in August.
DOI: 10.15468/6r67px
title: Two new species of Cephennomicrus in the Ryūkyū Archipelago (Coleoptera Staphylinidae, Scydmaeninae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jałoszyński, Paweł (2021): Two new species of Cephennomicrus in the Ryūkyū Archipelago (Coleoptera Staphylinidae, Scydmaeninae). Zootaxa 4938 (5): 581-587, DOI: https://doi.org/10.11646/zootaxa.4938.5.5