cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1184/r1/21223763
title: Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems

description: As automated transportation progresses, public transit agencies may address the equitable implications of integrating autonomous vehicles and shuttles into current transit systems. Capital and operating expenses for automated mobility modes handled by public transportation agencies are unknown at this point given the limited number of pilots and deployments. This study evaluated transit systems in various cities to identify opportunities for equitable improvement through shared automated mobility. We identified locations of unmet transit demand among the transit-dependent population and prioritized them for future service via shared autonomous vehicles (SAVs) or shared autonomous electric shuttles. Based on current transit and technology costs, we estimated levelized operating costs for first- and last-mile service in a transit system. The study examines transit services in four U.S. cities: New York City, New York, Chicago, Illinois, Pittsburgh, Pennsylvania, and Minneapolis-St. Paul, Minnesota. The results suggest that it is possible to operate SAVs and shuttles at a lower cost than buses as part of a public transit system under particular transit demand situations. The sensitivity study identified the critical factors to consider while developing new transportation services with shared autonomous mobility. SAVs were the most cost-effective mode of transportation for expanding transit coverage in Minneapolis-St. Paul and Pittsburgh. However, there were instances in Pittsburgh, New York City, and Chicago where shuttles outperformed SAVs, notably when ridership demand surpassed SAV capacity limits, required larger SAV fleets. This study eventually identified the characteristics of transit systems that are most conducive to the integration of SAVs and shuttles into an existing public transit system.
DOI: 10.1184/r1/21223763.v1
title: Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems

description: As automated transportation progresses, public transit agencies may address the equitable implications of integrating autonomous vehicles and shuttles into current transit systems. Capital and operating expenses for automated mobility modes handled by public transportation agencies are unknown at this point given the limited number of pilots and deployments. This study evaluated transit systems in various cities to identify opportunities for equitable improvement through shared automated mobility. We identified locations of unmet transit demand among the transit-dependent population and prioritized them for future service via shared autonomous vehicles (SAVs) or shared autonomous electric shuttles. Based on current transit and technology costs, we estimated levelized operating costs for first- and last-mile service in a transit system. The study examines transit services in four U.S. cities: New York City, New York, Chicago, Illinois, Pittsburgh, Pennsylvania, and Minneapolis-St. Paul, Minnesota. The results suggest that it is possible to operate SAVs and shuttles at a lower cost than buses as part of a public transit system under particular transit demand situations. The sensitivity study identified the critical factors to consider while developing new transportation services with shared autonomous mobility. SAVs were the most cost-effective mode of transportation for expanding transit coverage in Minneapolis-St. Paul and Pittsburgh. However, there were instances in Pittsburgh, New York City, and Chicago where shuttles outperformed SAVs, notably when ridership demand surpassed SAV capacity limits, required larger SAV fleets. This study eventually identified the characteristics of transit systems that are most conducive to the integration of SAVs and shuttles into an existing public transit system.
DOI: 10.1184/r1/14866251
title: TrajAir: A General Aviation Trajectory Dataset

description: General Aviation (GA) comprises all civil flights except scheduled passenger airline services. More than 90% of the roughly 220,000 civil aircraft registered in the United States (US) are GA aircraft. In contrast with airline service aircraft which operate with two pilots in a structured higher-altitude operational envelope, GA aircraft are often individually piloted in a more unstructured lower-altitude environment. This low altitude environment is also where a bulk of the next generation of Uncrewed Aerial Vehicles (UAVs) are expected to operate. These UAVs are expected to seamlessly interact with other UAVs and manned air traffic operating in this shared airspace. Nowhere is this manned-manned and potentially unmanned-manned interaction more pronounced than in low-altitude terminal airspace around airports. Low altitudes, multi-agent close-proximity interactions, dynamically changing conditions, and rapid decision making are hallmarks of this type of airspace as compared to en-route airspace where agents are typically well-separated.This dataset contains aircraft trajectories in an untowered terminal airspace collected over 8 months surrounding the Pittsburgh-Butler Regional Airport [ICAO:KBTP], a single runway GA airport, 10 miles North of the city of Pittsburgh, Pennsylvania. The trajectory data is recorded using an on-site setup that includes an ADS-B receiver. The trajectory data provided spans days from 18 Sept 2020 till 23 Apr 2021 and includes a total of 111 days of data discounting downtime, repairs, and bad weather days with no traffic. Data is collected starting at 1:00 AM local time to 11:00 PM local time. The dataset uses an Automatic Dependent Surveillance-Broadcast (ADS-B) receiver placed within the airport premises to capture the trajectory data. The receiver uses both the 1090 MHz and 978 MHz frequencies to listen to these broadcasts. The ADS-B uses satellite navigation to produce accurate location and timestamp for the targets which is recorded on-site using our custom setup. Weather data during the data collection time period is also included for environmental context. The weather data is obtained post-hoc using the METeorological Aerodrome Reports (METAR) strings generated by the Automated Weather Observing System (AWOS) system at KBTP. The raw METAR string is then appended to the raw trajectory data by matching the closest UTC timestamps.We also provide processed data that filters, interpolates and transforms data from a global frame to an airport-centred inertial frame. The inertial frame is centred at one end of the runway with the x-axis along the runway. Trajectories are filtered with aircrafts under 6000 ft MSL and around a 5km radius around the airport origin. We also remove duplicates and interpolate data every second. The proceed files also contain wind-data; a crucial factor in decision-making; separated in components along and perpendicular to the runway direction.<b>More Information and Supplemental Tools</b>Please visit http://theairlab.org/trajair/ for more information.<br>
DOI: 10.6073/pasta/56e5a47eae3ec0066438e7584fd35bee
title: Hubbard Brook Experimental Forest: 15-minute Precipitation by Watershed, 2017 - present

description: From 2011 to 2017, ten electronic weighing rain gauges were progressively implemented at the Hubbard Brook Experimental Forest to measure precipitation at 15-minute intervals. 15-minute resolution watershed precipitation values for nine research watersheds are calculated as a weighted average of precipitation using Inverse Distance Weighting. These data were gathered at the Hubbard Brook Experimental Forest in North Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.5281/zenodo.7114766
title: Wheat imports are higher in countries with greater extreme weather stress and synchronous crop yield variations

description: This repository includes code and data.
DOI: 10.6084/m9.figshare.21254031
title: Datasets and code habitat color project

description: This is a collection of all the data files for this project as well as the R code used to visualize and analyze the data.
DOI: 10.6084/m9.figshare.21254031.v1
title: Datasets and code habitat color project

description: This is a collection of all the data files for this project as well as the R code used to visualize and analyze the data.
DOI: 10.6084/m9.figshare.19591024
title: Data for Augmented Hill-Climb increases reinforcement learning efficiency for language-based de novo molecule generation

description: Data for Augmented Hill-Climb increases reinforcement learning efficiency for language-based <em>de novo</em> molecule generation. This includes prior training datasets, trained priors and results.
DOI: 10.6084/m9.figshare.19591024.v2
title: Data for Augmented Hill-Climb increases reinforcement learning efficiency for language-based de novo molecule generation

description: Data for Augmented Hill-Climb increases reinforcement learning efficiency for language-based <em>de novo</em> molecule generation. This includes prior training datasets, trained priors and results.
DOI: 10.5281/zenodo.7130188
title: Metabolic syndrome severity score and associated cardiovascular risk in postmenopausal women of Bangladesh

description: This data help to construct metabolic syndrome severity score and seek its association with absolute cardiovascular risk.
DOI: 10.5281/zenodo.7130187
title: Metabolic syndrome severity score and associated cardiovascular risk in postmenopausal women of Bangladesh

description: This data help to construct metabolic syndrome severity score and seek its association with absolute cardiovascular risk.
DOI: 10.5281/zenodo.7080216
title: Data and codes

description: DFT VASP data and MATLAB codes.
DOI: 10.5281/zenodo.7130165
title: Data and codes

description: DFT VASP data and MATLAB codes.
DOI: 10.25390/caryinstitute.19591117
title: Confidential data archive for: Ecological complexity, mosquito production, and disease risk

description: This confidential dataset contains adult mosquito surveys and sampling data by species and date, as well as neighborhood and environmental sensor data for research conducted in neighborhoods in Baltimore, Maryland USA (2012-2017). <br> <strong>This dataset includes the following files:</strong> <strong>Metadata.docx. </strong> Descriptive metadata for all sheets including confidential data files. <strong>MASTERcontainer12_13_14_15_16_Master.xlsx. </strong> These are data from container surveys conducted between 2012-2016. <strong>MASTERsurvey12_13_14_16_v20220928.xlsx. </strong>Surveys of residents in sample neighborhood blocks in years 2012, 2013, 2014, and 2016. <strong>MASTERadult.xlsx. </strong> Counts and identification of (primarily) female adult mosquitoes that were actively trapped over years and block clusters. <strong>Bloodfed.MASTER.xlsx. </strong> Includes identification of blood meal source of 2015 and 2016 subsamples of adult female mosquitoes. <strong>Master_iButton.xlsx. </strong> Raw relative humidity and temperature data recorded by iButton during 2015-2017 as well as year-long summaries by sensor for 2016 and 2017. <strong>YardMatrices.xlsx. </strong>Contains a matrix (yardmat.year) for each year and a matrix for each year with sampling periods distinguished (season.year). <strong>Adults.R</strong> <strong>iButton.R</strong> <strong>join_yardid.R</strong> <strong>wrangle.R</strong> <strong>yardmatsession.R</strong> <strong>Spatial info-20220414.zip. </strong>zip archive containing a variety of information regarding the geography and temporal condition data for the sampled blocks and trap sites and other miscellaneous site condition/treatment data. The files included are an Excel workbook with several sheets, shapefiles and R code for visualizing blocks and trap sites. For published papers resulting from this work, please see the public data archive located here. Questions about these data should be directed to Dr. Shannon LaDeau, ladeaus@caryinstitute.org or Cary Data Management, datamanagement@caryinstitute.org. <br>
DOI: 10.25390/caryinstitute.19591117.v3
title: Confidential data archive for: Ecological complexity, mosquito production, and disease risk

description: This confidential dataset contains adult mosquito surveys and sampling data by species and date, as well as neighborhood and environmental sensor data for research conducted in neighborhoods in Baltimore, Maryland USA (2012-2017). <br> <strong>This dataset includes the following files:</strong> <strong>Metadata.docx. </strong> Descriptive metadata for all sheets including confidential data files. <strong>MASTERcontainer12_13_14_15_16_Master.xlsx. </strong> These are data from container surveys conducted between 2012-2016. <strong>MASTERsurvey12_13_14_16_v20220928.xlsx. </strong>Surveys of residents in sample neighborhood blocks in years 2012, 2013, 2014, and 2016. <strong>MASTERadult.xlsx. </strong> Counts and identification of (primarily) female adult mosquitoes that were actively trapped over years and block clusters. <strong>Bloodfed.MASTER.xlsx. </strong> Includes identification of blood meal source of 2015 and 2016 subsamples of adult female mosquitoes. <strong>Master_iButton.xlsx. </strong> Raw relative humidity and temperature data recorded by iButton during 2015-2017 as well as year-long summaries by sensor for 2016 and 2017. <strong>YardMatrices.xlsx. </strong>Contains a matrix (yardmat.year) for each year and a matrix for each year with sampling periods distinguished (season.year). <strong>Adults.R</strong> <strong>iButton.R</strong> <strong>join_yardid.R</strong> <strong>wrangle.R</strong> <strong>yardmatsession.R</strong> <strong>Spatial info-20220414.zip. </strong>zip archive containing a variety of information regarding the geography and temporal condition data for the sampled blocks and trap sites and other miscellaneous site condition/treatment data. The files included are an Excel workbook with several sheets, shapefiles and R code for visualizing blocks and trap sites. For published papers resulting from this work, please see the public data archive located here. Questions about these data should be directed to Dr. Shannon LaDeau, ladeaus@caryinstitute.org or Cary Data Management, datamanagement@caryinstitute.org. <br>
DOI: 10.25390/caryinstitute.19591117.v2
title: Confidential data archive for: Ecological complexity, mosquito production, and disease risk

description: This confidential dataset contains adult mosquito surveys and sampling data by species and date, as well as neighborhood and environmental sensor data for research conducted in neighborhoods in Baltimore, Maryland USA (2012-2017). <br> <strong>This dataset includes the following files:</strong> <strong>Metadata.docx. </strong> Descriptive metadata for all sheets including confidential data files. <strong>MASTERcontainer12_13_14_15_16_Master.xlsx. </strong> These are data from container surveys conducted between 2012-2016. <strong>MASTERsurvey12_13_14_16.xlsx. </strong>Surveys of residents in sample neighborhood blocks in years 2012, 2013, 2014, and 2016. <strong>MASTERadult.xlsx. </strong> Counts and identification of (primarily) female adult mosquitoes that were actively trapped over years and block clusters. <strong>Bloodfed.MASTER.xlsx. </strong> Includes identification of blood meal source of 2015 and 2016 subsamples of adult female mosquitoes. <strong>Master_iButton.xlsx. </strong> Raw relative humidity and temperature data recorded by iButton during 2015-2017 as well as year-long summaries by sensor for 2016 and 2017. <strong>YardMatrices.xlsx. </strong>Contains a matrix (yardmat.year) for each year and a matrix for each year with sampling periods distinguished (season.year). <strong>Adults.R</strong> <strong>iButton.R</strong> <strong>join_yardid.R</strong> <strong>wrangle.R</strong> <strong>yardmatsession.R</strong> <strong>Spatial info-20220414.zip. </strong>zip archive containing a variety of information regarding the geography and temporal condition data for the sampled blocks and trap sites and other miscellaneous site condition/treatment data. The files included are an Excel workbook with several sheets, shapefiles and R code for visualizing blocks and trap sites. For published papers resulting from this work, please see the public data archive located here. Questions about these data should be directed to Dr. Shannon LaDeau, ladeaus@caryinstitute.org or Cary Data Management, datamanagement@caryinstitute.org. <br>
DOI: 10.6084/m9.figshare.20377154
title: Genetic characteristics and forensic features of Xibe ethnic group revealed via extended set of Y-STRs

description: Xibe is the fifth largest minority population of Liaoning province. Predominately they live in Liaoning province (69.52%), followed by Xinjiang (18.06%), Heilongjiang (3.99%), Jilin (1.63%) and Inner Mongolia provinces (1.57%). To provide an updated and precise population database on an extended set of Y STRs not available before and explore the forensic characteristics of 26 Y chromosomal STRs. In this study, we genotyped 406 unrelated Xibe male individuals from Liaoning province using Goldeneye<sup>®</sup> 26Y System kit and calculated the forensic parameters of these 26 Y STRs loci. All haplotypes generated for 406 Xibe samples using Goldeneye<sup>®</sup> 26Y kit were unique with a discrimination capacity (DC) of 1. On restricting the haplotypes to the Y-filer<sup>®</sup> set of 17 Y-STRs, we observed 392 haplotypes. Among them 93.53% (380) were unique with a DC of 0.9655 and haplotype diversity (HD) of 0.9998, showing high discrimination power of the extended set of markers in this population. Allelic frequencies ranged from 0.0024 to 0.7684 across 26 Y STRs loci. DYS385 showed the highest gene diversity (0.9691) among all markers. According to pairwise R<sub>ST</sub> genetic distances among Xibe populations from China, the Liaoning Xibe population showed the closest genetic distance (0.0035) followed by Xinjiang Xibe population (0.0218). Multidimensional scaling (MDS) analysis among Xibe and 29 other Chinese populations showed that local populations such as Manchu from Liaoning and Han from Beijing had a close affinity while Tibetans from Aba, China, were most distant from Xibe populations. Moreover, 12 individuals showed a null allele at DYS448 in Xibe population samples. We submitted Y-STRs data in the Y-Chromosome Haplotype Reference Database (YHRD) for future forensic and other usage.
DOI: 10.6084/m9.figshare.20377154.v1
title: Genetic characteristics and forensic features of Xibe ethnic group revealed via extended set of Y-STRs

description: Xibe is the fifth largest minority population of Liaoning province. Predominately they live in Liaoning province (69.52%), followed by Xinjiang (18.06%), Heilongjiang (3.99%), Jilin (1.63%) and Inner Mongolia provinces (1.57%). To provide an updated and precise population database on an extended set of Y STRs not available before and explore the forensic characteristics of 26 Y chromosomal STRs. In this study, we genotyped 406 unrelated Xibe male individuals from Liaoning province using Goldeneye<sup>®</sup> 26Y System kit and calculated the forensic parameters of these 26 Y STRs loci. All haplotypes generated for 406 Xibe samples using Goldeneye<sup>®</sup> 26Y kit were unique with a discrimination capacity (DC) of 1. On restricting the haplotypes to the Y-filer<sup>®</sup> set of 17 Y-STRs, we observed 392 haplotypes. Among them 93.53% (380) were unique with a DC of 0.9655 and haplotype diversity (HD) of 0.9998, showing high discrimination power of the extended set of markers in this population. Allelic frequencies ranged from 0.0024 to 0.7684 across 26 Y STRs loci. DYS385 showed the highest gene diversity (0.9691) among all markers. According to pairwise R<sub>ST</sub> genetic distances among Xibe populations from China, the Liaoning Xibe population showed the closest genetic distance (0.0035) followed by Xinjiang Xibe population (0.0218). Multidimensional scaling (MDS) analysis among Xibe and 29 other Chinese populations showed that local populations such as Manchu from Liaoning and Han from Beijing had a close affinity while Tibetans from Aba, China, were most distant from Xibe populations. Moreover, 12 individuals showed a null allele at DYS448 in Xibe population samples. We submitted Y-STRs data in the Y-Chromosome Haplotype Reference Database (YHRD) for future forensic and other usage.
DOI: 10.6084/m9.figshare.21071147
title: Haplogroup diversity in the Indian population using 23 Y-STRs

description: A Y-STR polymorphism study is a convenient tool in molecular anthropology and forensic DNA analysis. Through standard ethical procedures, the proposed study explored the genetic scenario in male lineage in Madhya Pradesh, a central Indian state, by Y-STR genotyping and haplogroup studies. Five hundred and eleven unrelated male blood samples were directly amplified, and fragment separation was done using capillary electrophoresis to generate a Y-STR profile for 23 forensic relevant markers through PowerPlex<sup>®</sup> Y 23 multiplex system. The different statistical methods were applied for studying the forensic and genetics parameters. Subsequently, population comparison was performed by AMOVA, PCoA, and MDS plot, and Haplogroups were predicted with Whit Athey's haplogroup predictor tool. These data represented the potential value of the PowerPlex<sup>®</sup> Y-23 multiplex system for the forensic and human genetics application in the population of Madhya Pradesh, India. Simultaneously the Haplogroup analysis revealed information about the multi-geographic origin as well as multi-ethnic genetic affinities of the Madhya Pradesh population.
DOI: 10.6084/m9.figshare.21071147.v1
title: Haplogroup diversity in the Indian population using 23 Y-STRs

description: A Y-STR polymorphism study is a convenient tool in molecular anthropology and forensic DNA analysis. Through standard ethical procedures, the proposed study explored the genetic scenario in male lineage in Madhya Pradesh, a central Indian state, by Y-STR genotyping and haplogroup studies. Five hundred and eleven unrelated male blood samples were directly amplified, and fragment separation was done using capillary electrophoresis to generate a Y-STR profile for 23 forensic relevant markers through PowerPlex<sup>®</sup> Y 23 multiplex system. The different statistical methods were applied for studying the forensic and genetics parameters. Subsequently, population comparison was performed by AMOVA, PCoA, and MDS plot, and Haplogroups were predicted with Whit Athey's haplogroup predictor tool. These data represented the potential value of the PowerPlex<sup>®</sup> Y-23 multiplex system for the forensic and human genetics application in the population of Madhya Pradesh, India. Simultaneously the Haplogroup analysis revealed information about the multi-geographic origin as well as multi-ethnic genetic affinities of the Madhya Pradesh population.
DOI: 10.3886/e180101v1
title: Is there any future for the U.S. labor movement?

description: These files produce the figures in "Is there any future for the U.S. labor movement" published in the journal of economic perspectives. Three of the figures are produced in stata, and the fourth is produced in python, as described in the readme.<br>
DOI: 10.5281/zenodo.7130065
title: Blinded Predictions and Post-hoc Analysis of the Second Solubility Challenge Data: Exploring Training Data and Feature Set Selection for Machine and Deep Learning Models

description: Training and test datasets and scripts for training models.
DOI: 10.5281/zenodo.7130064
title: Blinded Predictions and Post-hoc Analysis of the Second Solubility Challenge Data: Exploring Training Data and Feature Set Selection for Machine and Deep Learning Models

description: Training and test datasets and scripts for training models.