cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/tf0a-s814
title: Supporting Surgical Teams: Identifying Needs and Barriers for Exoskeleton Implementation in the Operating Room

description: &lt;p&gt;This dataset includes anonymized transcripts of focus group discussions with surgical team members.&lt;/p&gt;

&lt;p&gt;Objective: The objective of this study was to identify potential needs and barriers related to using exoskeletons to decrease musculoskeletal (MS) symptoms for workers in the operating room (OR).&lt;/p&gt;

&lt;p&gt;Background: MS symptoms and injuries adversely impact worker health and performance in surgical environments. Half of the surgical team members (e.g., surgeons, nurses, trainees) report MS symptoms during and after surgery. Although the ergonomic risks in surgery are well recognized, little has been done to develop and sustain effective interventions.&lt;/p&gt;

&lt;p&gt;Method: Surgical team members (n = 14) participated in focus groups, performed a 10-min simulated surgical task with a commercial upper-body exoskeleton, and then completed a usability questionnaire. Content analysis was conducted to determine relevant themes.&lt;/p&gt;

&lt;p&gt;Results: Four themes were identified: (1) characteristics of individuals, (2) perceived benefits, (3) environmental/societal factors, and (4) intervention characteristics. Participants noted that exoskeletons would benefit workers who stand in prolonged, static postures (e.g., holding instruments for visualization) and indicated that they could foresee a long-term decrease in MS symptoms with the intervention. Specifically, raising awareness of exoskeletons for early-career workers and obtaining buy-in from team members may increase future adoption of this technology. Mean participant responses from the System Usability Scale was 81.3 out of 100 (SD = 8.1), which was in the acceptable range of usability.&lt;/p&gt;

&lt;p&gt;Conclusion: Adoption factors were identified to implement exoskeletons in the OR, such as the indicated need for exoskeletons and usability. Exoskeletons may be beneficial in the OR, but barriers such as maintenance and safety to adoption will need to be addressed.&lt;/p&gt;

&lt;p&gt;Application: Findings from this work identify facilitators and barriers for sustained implementation of exoskeletons by surgical teams.&lt;/p&gt;
description: Findings from this work identify facilitators and barriers for sustained implementation of exoskeletons by surgical teams.
DOI: 10.4231/xgnk-jx08
title: Population-specific brain atlas for adolescent collision-sport athletes in Purdue Neurotrauma Group longitudinal database

description: &lt;p&gt;We developed a population-specific brain atlas target adolescent collision-sport (American football, soccer) athletes, based on the MRI scans from the longitudinal database of Purdue Neurotrauma Group. The brain atlas was developed in an effort to facilitate multimodal neuroimaging studies, specifically to minimize bias introduced in spatial normalization, improve sensitivity of voxel-wise statistical analysis, and therefore better clarify the mechanisms that lead to traumatic brain injury in adolescent athletes, which is one of our long-term commitments to this vulnerable population. Image processing software including &lt;em&gt;FSL,&lt;/em&gt; &lt;em&gt;ANTs&lt;/em&gt;, and &lt;em&gt;Freesurfer&lt;/em&gt; were used to create the templates (T1-weighted and DTI) and semantic labels (cortical and white matter parcellations). To scale and speed up the atlas creation, we established a high-throughput high-performance computing workflow which integrated Open Science Grid and Purdue Community Clusters.&lt;/p&gt;
description: Unbiased population-specific brain atlas for local adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including cortical and white matter parcellations, a T1-weighted template, and a DTI template.
DOI: 10.4231/cpgm-e419
title: Hurricane Dorian Tweet IDs

description: &lt;p&gt;Tweet IDs filtered from Twitter streaming based on the keywords &lt;em&gt;dorian, &lt;/em&gt;&lt;em&gt;hurricane, hurricane dorian, hurricanedorian&lt;/em&gt;. &lt;/p&gt;

&lt;p&gt;IDs collected with &lt;a href="https://gwu-libraries.github.io/sfm-ui/"&gt;Social Feed Manager &lt;/a&gt;. Twitter &lt;a href="https://developer.twitter.com/en/developer-terms/more-on-restricted-use-cases.html"&gt;terms of service&lt;/a&gt; prevent sharing Twitter data, but do allow for the sharing of IDs (an unlimited number for academic purposes). These IDs can be feed into the Twitter API by an individual and the tweet data returned.  This process is referred to as &lt;i&gt;hydrating&lt;/i&gt;. &lt;/p&gt;

&lt;p&gt;Summaries of the hydrated tweets as well as sample code for hydrating tweets and analysis calculation is given in this repository: &lt;a href="https://github.com/brachunok/dorian-tweets"&gt;https://github.com/brachunok/dorian-tweets&lt;/a&gt; with more changes and updates on the way. These tweets are utilized to research underlying patterns in the way that communities respond in aggregate to natural disasters such as this hurricane. For more information see: &lt;a href="https://doi.org/10.1109/ACCESS.2019.2914797"&gt;10.1109/ACCESS.2019.2914797&lt;/a&gt;.&lt;/p&gt;
description: Tweet IDs gathered in real-time during the impact of Hurricane Dorian. August 30th, 2019 through September 16th, 2019.
DOI: 10.4231/eehp-qg72
title: The Influence of Elevated Smoke Layers on Stratocumulus Clouds over the SE Atlantic - 1

description: &lt;p&gt;This dataset contains netcdf files with the aerosol climatologies that were used to prescribe the 3D aerosol mass in the model. This dataset is one part of a two-part series. Access the entire series &lt;a href="http://doi.org/10.4231/K195-9C37"&gt;here&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;Previous evaluations of simulated aerosol transport over the South-east Atlantic by global aerosol models, including Goddard Earth Observing System (GEOS) Atmospheric GCM, showed that the bulk of the modeled smoke aerosol layer resided ~1-2 km lower than CALIOP lidar observations over the ocean. Using this finding as the motivation, this study examines the changes in model simulated cloud properties in response to redistributing the aerosol profiles over the ocean. Ten years (2006-15) of CALIOP retrieved smoke aerosol extinction profiles were used to redistribute the model simulated aerosol mass on a monthly mean basis, keeping the column aerosol mass conserved. The results from the model sensitivity experiments show that elevating the aerosol layer to higher levels in agreement with the observations causes an increase in cloud fractions by ~33% for shallow marine boundary layers (MBL), while cloud fractions decrease by ~30% for deeper MBL. We found that aerosol-induced warming within the shallow MBL cloud layers leads to reduced cloud presence due to decrease in relative humidity at these levels. For deeper MBL, increased MBL stability in the lower altitude aerosol case compared to the elevated aerosol layer case suppresses the cloud vertical extent, enhances the cloud cover and delays the stratocumulus to cumulus transition. Finally, aerosol redistribution impacts on radiative forcing are investigated, which appear to be mainly driven by the changes in cloud area fractions rather than in-cloud LWP changes between the model experiments.&lt;/p&gt;
description: Aerosol climatologies data associated with the publication "Influence of Elevated Smoke Layers on Stratocumulus Clouds over the SE Atlantic in the NASA Goddard Earth Observing System (GEOS) Model"
DOI: 10.4231/qb5v-df73
title: The Influence of Elevated Smoke Layers on Stratocumulus Clouds over the SE Atlantic - 2

description: &lt;p&gt;This dataset contains output thermodynamic variables from three model experiments:&lt;/p&gt;

&lt;p&gt;CTL: Control case, in which the GEOS model was prescribed with MERRAero (aerosol reanalysis product) aerosol mass mixing ratios.&lt;br /&gt;
RED: Redistributed aerosol case, in which aerosol vertical profiles were adjusted based on CALIOP Lidar climatology.&lt;br /&gt;
NOA: No Aerosol case, in which smoke aerosols were removed from over the redistribution domain.&lt;/p&gt;

&lt;p&gt;This dataset is one part of a two-part series. Access the entire series &lt;a href="http://doi.org/10.4231/K195-9C37"&gt;here&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;Previous evaluations of simulated aerosol transport over the South-east Atlantic by global aerosol models, including Goddard Earth Observing System (GEOS) Atmospheric GCM, showed that the bulk of the modeled smoke aerosol layer resided ~1-2 km lower than CALIOP lidar observations over the ocean. Using this finding as the motivation, this study examines the changes in model simulated cloud properties in response to redistributing the aerosol profiles over the ocean. Ten years (2006-15) of CALIOP retrieved smoke aerosol extinction profiles were used to redistribute the model simulated aerosol mass on a monthly mean basis, keeping the column aerosol mass conserved. The results from the model sensitivity experiments show that elevating the aerosol layer to higher levels in agreement with the observations causes an increase in cloud fractions by ~33% for shallow marine boundary layers (MBL), while cloud fractions decrease by ~30% for deeper MBL. We found that aerosol-induced warming within the shallow MBL cloud layers leads to reduced cloud presence due to decrease in relative humidity at these levels. For deeper MBL, increased MBL stability in the lower altitude aerosol case compared to the elevated aerosol layer case suppresses the cloud vertical extent, enhances the cloud cover and delays the stratocumulus to cumulus transition. Finally, aerosol redistribution impacts on radiative forcing are investigated, which appear to be mainly driven by the changes in cloud area fractions rather than in-cloud LWP changes between the model experiments.&lt;/p&gt;
description: Data associated with the publication "Influence of Elevated Smoke Layers on Stratocumulus Clouds over the SE Atlantic in the NASA Goddard Earth Observing System (GEOS) Model"
DOI: 10.4231/yp1v-q047
title: Gardner's Art Through the Ages - Illustrations Data

description: &lt;p&gt;Four Excel spreadsheets detailing content data from four editions of &lt;em&gt;Gardner&#39;s Art Through the Ages&lt;/em&gt;. Data details number of images, maps, illustrations, pages, and describes content areas.&lt;/p&gt;
description: This is a collection of four datasets of content information collected from the 1st, 5th, 12th, and 16th editions of Helen Gardner's canonical art textbook Gardner's Art Through the Ages.
DOI: 10.4231/7yy6-hq02
title: Quantifying Dissolved Organic Carbon Dynamics Using a Three-Dimensional Terrestrial Ecosystem Model at High Spatial-Temporal Resolutions

description: &lt;p&gt;Arctic terrestrial ecosystems are very sensitive to the global climate change due to the large storage of soil organic carbon and the presence of snow, glacier and permafrost, which respond directly to near surface air temperature that has warmed in the Arctic by almost twice as much as the global average. These ecosystems play a significant role in affecting regional and global carbon cycling, which have been traditionally quantified using biogeochemical models that have not explicitly considered the loss of carbon due to lateral flow of water from land to aquatic ecosystems.  Building upon an extant spatially-distributed hydrological model and a process-based biogeochemical model, we have developed a three-dimensional terrestrial ecosystem model (ECO3D) to elucidate how lateral water flow has impacted the regional dissolved organic carbon (DOC) dynamics in the Tanana Flats Basin in central Alaska.  The model explicitly simulates the production, consumption and transport of DOC. Both &lt;i&gt;in-situ&lt;/i&gt; observational data and remote sensing-based products were used to calibrate and validate the model. Our simulations show that: (1) plant-litter DOC leaching exerts significant controls on soil DOC concentration during precipitation and snowmelt events; (2) lateral transport plays an important role in affecting regional DOC dynamics; and (3) DOC export to the Tanana River is approximately 9.6 &times; 10&lt;sup&gt;6&lt;/sup&gt; kg C yr&lt;sup&gt;-1&lt;/sup&gt;. This study provides a modeling framework to adequately quantify the Arctic land ecosystem carbon budget by considering the lateral transport of carbon affected by permafrost degradation. The quantification of the lateral carbon fluxes will also improve future carbon cycle modeling for Arctic aquatic ecosystems.&lt;/p&gt;
description: Arctic ecosystems are very sensitive to the global climate change. This study provides a modeling framework to adequately quantify the Arctic land ecosystem carbon budget by considering the lateral transport of carbon affected by permafrost...
DOI: 10.4231/pvve-zd90
title: 3-D Model of a Beam Clamp for OSHA Fall Safety Training

description: &lt;p&gt;The 3D models of safety tools were created as part of the research of James L. Jenkins in collaboration with the Envision Center, Purdue University. They were developed as part of the virtual reality (VR) simulation safety training for the Occupational Health and Safety Administration (OSHA), U.S. Department of Labor funded by the Susan Harwood Training Grant Program, grant number SH-31215-SH7. It does not necessarily reflect the views or policies of the U.S. Department of Labor, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.&lt;/p&gt;

&lt;p&gt;The purpose of the models was to help workers better learn and retain safety training materials in a more effective and interactive way. The 3D models follow OSHA specifications.&lt;/p&gt;

&lt;p&gt;The dataset contains a model and textures.&lt;/p&gt;

&lt;div class="sketchfab-embed-wrapper"&gt;&lt;iframe allow="autoplay; fullscreen; vr" frameborder="0" height="480" mozallowfullscreen="true" src="https://sketchfab.com/models/ac7e399c380547b085530eb331505f69/embed" title="A 3D model" webkitallowfullscreen="true" width="640"&gt;&lt;/iframe&gt;

&lt;p style="font-size: 13px; font-weight: normal; margin: 5px; color: #4A4A4A;"&gt;&lt;a href="https://sketchfab.com/3d-models/beam-clamp-ac7e399c380547b085530eb331505f69?utm_medium=embed&amp;utm_source=website&amp;utm_campaign=share-popup" style="font-weight: bold; color: #1CAAD9;" target="_blank"&gt;Beam Clamp&lt;/a&gt; by &lt;a href="https://sketchfab.com/EnvisionCenter?utm_medium=embed&amp;utm_source=website&amp;utm_campaign=share-popup" style="font-weight: bold; color: #1CAAD9;" target="_blank"&gt;Purdue Envision Center&lt;/a&gt; on &lt;a href="https://sketchfab.com?utm_medium=embed&amp;utm_source=website&amp;utm_campaign=share-popup" style="font-weight: bold; color: #1CAAD9;" target="_blank"&gt;Sketchfab&lt;/a&gt;&lt;/p&gt;
&lt;/div&gt;
description: 3-D model of a beam clamp for the OSHA virtual reality simulation fall safety training.
DOI: 10.4231/p2hd-jt13
title: 3-D Model of a Construction Safety Cone for OSHA Fall Safety Training

description: &lt;p&gt;The 3D models of safety tools were created as part of the research of James L. Jenkins in collaboration with the Envision Center, Purdue University. They were developed as part of the virtual reality (VR) simulation safety training for the Occupational Health and Safety Administration (OSHA), U.S. Department of Labor funded by the Susan Harwood Training Grant Program, grant number SH-31215-SH7. It does not necessarily reflect the views or policies of the U.S. Department of Labor, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.&lt;/p&gt;

&lt;p&gt;The purpose of the models was to help workers better learn and retain safety training materials in a more effective and interactive way. The 3D models follow OSHA specifications.&lt;/p&gt;

&lt;p&gt;The dataset contains a model and textures.&lt;/p&gt;

&lt;div class="sketchfab-embed-wrapper"&gt;&lt;iframe allow="autoplay; fullscreen; vr" frameborder="0" height="480" mozallowfullscreen="true" src="https://sketchfab.com/models/fc7522d0edaf462a84621db39b2a3c57/embed" title="A 3D model" webkitallowfullscreen="true" width="640"&gt;&lt;/iframe&gt;

&lt;p style="font-size: 13px; font-weight: normal; margin: 5px; color: #4A4A4A;"&gt;&lt;a href="https://sketchfab.com/3d-models/traffic-cone-fc7522d0edaf462a84621db39b2a3c57?utm_medium=embed&amp;utm_source=website&amp;utm_campaign=share-popup" style="font-weight: bold; color: #1CAAD9;" target="_blank"&gt;Traffic Cone&lt;/a&gt; by &lt;a href="https://sketchfab.com/EnvisionCenter?utm_medium=embed&amp;utm_source=website&amp;utm_campaign=share-popup" style="font-weight: bold; color: #1CAAD9;" target="_blank"&gt;Purdue Envision Center&lt;/a&gt; on &lt;a href="https://sketchfab.com?utm_medium=embed&amp;utm_source=website&amp;utm_campaign=share-popup" style="font-weight: bold; color: #1CAAD9;" target="_blank"&gt;Sketchfab&lt;/a&gt;&lt;/p&gt;
&lt;/div&gt;
description: 3-D model of a Construction Safety Cone for the OSHA virtual reality simulation fall safety training.
DOI: 10.4231/jas3-h131
title: 3-D Model of a Step Ladder for OSHA Fall Safety Training

description: &lt;p&gt;The 3D models of safety tools were created as part of the research of James L. Jenkins in collaboration with the Envision Center, Purdue University. They were developed as part of the virtual reality (VR) simulation safety training for the Occupational Health and Safety Administration (OSHA), U.S. Department of Labor funded by the Susan Harwood Training Grant Program, grant number SH-31215-SH7. It does not necessarily reflect the views or policies of the U.S. Department of Labor, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.&lt;/p&gt;

&lt;p&gt;The purpose of the models was to help workers better learn and retain safety training materials in a more effective and interactive way. The 3D models follow OSHA specifications.&lt;/p&gt;

&lt;p&gt;The dataset contains a model and textures.&lt;/p&gt;

&lt;div class="sketchfab-embed-wrapper"&gt;
 &lt;iframe title="A 3D model" width="640" height="480" src="https://sketchfab.com/models/10573f52155c4fe4be3a6d7665751f06/embed" frameborder="0" allow="autoplay; fullscreen; vr" mozallowfullscreen="true" webkitallowfullscreen="true"&gt;&lt;/iframe&gt;

&lt;p style="font-size: 13px; font-weight: normal; margin: 5px; color: #4A4A4A;"&gt;
 &lt;a href="https://sketchfab.com/3d-models/step-ladder-10573f52155c4fe4be3a6d7665751f06?utm_medium=embed&utm_source=website&utm_campaign=share-popup" target="_blank" style="font-weight: bold; color: #1CAAD9;"&gt;Step Ladder&lt;/a&gt;
 by &lt;a href="https://sketchfab.com/EnvisionCenter?utm_medium=embed&utm_source=website&utm_campaign=share-popup" target="_blank" style="font-weight: bold; color: #1CAAD9;"&gt;Purdue Envision Center&lt;/a&gt;
 on &lt;a href="https://sketchfab.com?utm_medium=embed&utm_source=website&utm_campaign=share-popup" target="_blank" style="font-weight: bold; color: #1CAAD9;"&gt;Sketchfab&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
description: 3-D model of a step ladder for the OSHA virtual reality simulation fall safety training.
DOI: 10.4231/wdsq-mk44
title: Data: Does bottom-line pressure make terrorism coverage more negative? Evidence from a Twenty Newspaper Panel Study.

description: &lt;p&gt;We use an original panel dataset to explore the impact of economic pressure on the way journalists report terrorism. This dataset combines data about terrorist attacks in the U.S.[1], presidential endorsements by newspapers[2], ownership and profit information, and public distrust of the media[3] with tone scores for randomly selected articles on terrorism from 20 newspapers spanning 1997 to 2014. This publication includes a Stata data file (in dta and csv formats) as well as an appendix with a description of variables and selected tables and figures.&lt;/p&gt;

&lt;p&gt; &lt;/p&gt;

&lt;p&gt;[1] Miller, E., LaFree, G., Dugan, L. (2014). Global Terrorism Database (GTD). Retrieved from &lt;a href="https://www.start.umd.edu/data-tools/global-terrorism-database-gtd"&gt;https://www.start.umd.edu/data-tools/global-terrorism-database-gtd&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;[2] American Presidency Project. (2012). General Election Editorial Endorsements by Major Newspapers.&lt;br /&gt;
Retrieved from &lt;a href="https://www.presidency.ucsb.edu/statistics/data/2012-general-election-editorial-endorsements-major-newspapers"&gt;https://www.presidency.ucsb.edu/statistics/data/2012-general-election-editorial-endorsements-major-newspapers&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;[3] Gallup, Inc. (2014). Media Use and Evaluation. Retrieved from &lt;a href="https://news.gallup.com/poll/1663/Media-Use-Evaluation.aspx"&gt;https://news.gallup.com/poll/1663/Media-Use-Evaluation.aspx&lt;/a&gt; &lt;/p&gt;
description: Data files for the Media, War & Conflict paper: Does bottom-line pressure make terrorism coverage more negative? Evidence from a Twenty Newspaper Panel Study.
DOI: 10.4231/c1w0-8f75
title: Maize Response to P and K in 2006. Experiment 1 at Throckmorton Purdue Agricultural Center: Yield, Soil and Tissue P and K, and Seed and Stover Composition

description: &lt;p&gt;These data may be used to evaluate the relationship between soil test P and K concentrations and maize yield and yield components. Similarly, tissue P and K concentrations differ markedly among fertility treatments and those data may be useful in evaluating the relationship between tissue P and K concentrations and maize yield and composition. &lt;/p&gt;
description: Grain and stover yield and composition were determined for maize grown in soil previously fertilized annually for 8 years with potassium (K, 0 to 400 kg K/ha) and phosphorus (P, 0 to 75 kg P/ha) resulting in large differences in soil test P and K.
DOI: 10.4231/wwsk-ra65
title: Maize Response to P and K in 2006. Experiment 2 at Throckmorton Purdue Agricultural Center: Yield, Soil and Tissue P and K, and Stover and Grain Composition

description: &lt;p&gt;These data may be used to evaluate relationships among soil and tissue P and K concentrations and agronomic performance and composition of maize. &lt;/p&gt;
description: Maize was grown in 2006 in plots differing in soil test P and K. Yield and plant composition were determined.