cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9s3lnsh
title: PeakFQ inputs and selected outputs for selected gages in or near Delaware

description: This data release contains input and output files for PeakFQ models for 122 selected streamgages in or near Delaware. For each PeakFQ model, we provide the input peak flow file (.txt), peak flow specification file (.psf), model outputs in the form of .PRT and .EXP files, and a plot of peak flow estimates with fit relationship (.EMF). The PeakFQ models provided are for the weighted skew option based on station and regional skew values. All PeakFQ models were run with version 7.3.
DOI: 10.5066/p99602lw
title: Basin Characteristics Rasters for Delaware StreamStats 2020

description: This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of calculating stream gage basin characteristics in preparation for the Delaware 2020 StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the Delaware StreamStats 2020 study area, and will be served in the Delaware StreamStats 2020 application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics, and more.
DOI: 10.5066/p9ag37ki
title: National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources - data release

description: In 2020, the U.S. Geological Survey (USGS) completed a probabilistic assessment of the volume of technically recoverable oil resources available if current carbon dioxide enhanced oil recovery (CO2-EOR) technologies were applied in amenable oil reservoirs underlying the onshore and State waters area of the conterminous United States. The assessment also includes estimates of the magnitude of CO2 stored (retained) resulting from CO2-EOR activities. The USGS assessment team evaluated 3524 oil reservoirs that were miscible to injected CO2. The assessed reservoirs are located in 185 previously defined USGS plays in 33 petroleum provinces (or basins) of 7 national regions. All candidate reservoir data, except 12 reservoirs from the Appalachian Basin, were originally described in the proprietary Nehring Database of Significant Oil and Gas Fields. The USGS is unable to publish the proprietary names and descriptions of these individual reservoirs, but can provide estimates at the reservoir level. Reservoirs are identified by USGS play, province, and region. The CO2-EOR was modeled using CO2 Prophet software. The results presented are: the mean original oil-in-place, the recovery factor as a percentage, gross and net utilization factors of injected CO2 per barrel of oil recovered, percent retention of CO2 in the subsurface, oil recovered in millions of barrels (MMbbl), and CO2 retention in millions of metric tons (MT). The estimates of oil recovered, and CO2 retention include the mean and vary from the P5 percentile (5 percent likelihood that the volume is less), to the P50 percentile or median value, and to the P95 percentile. Results are reported to two significant digits.
DOI: 10.5066/p935lvad
title: Fundamental Dataset Rasters for Delaware StreamStats 2020

description: This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of delineating gage basins and performing hydrologic analysis in the Delaware 2020 StreamStats application. These datasets are raster representations of the fundamental dataset layers necessary for the functionality of StreamStats application within the Delaware StreamStats 2020 study area. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics, and more. The datasets include a study area defined by all HUC12 watersheds flowing into or out of the state of Delaware, which includes portions of HUC08 watersheds 02040202, 02040205, 02040207, 02040303, 02060002, 02060005, 02080109, 02080110, and 02080111.
DOI: 10.5063/f1r20zsv
title: Permanently tracked Ephedra californica shrubs at Panoche Hills Ecological Reserve, California

description: Permanently tagged and tracked Ephedra californica shrubland.The size of each shrubs was measure and each location geotagged.
DOI: 10.5517/ccdc.csd.cc27xvdf
title: CCDC 2083305: Experimental Crystal Structure Determination

description: Related Article: Rakesh K. Saunthwal, James Mortimer, Andrew J. Orr-Ewing, Jonathan Clayden|2022|Chemical Science|13|2079|doi:10.1039/D1SC06684F
DOI: 10.5517/ccdc.csd.cc27xvfg
title: CCDC 2083306: Experimental Crystal Structure Determination

description: Related Article: Rakesh K. Saunthwal, James Mortimer, Andrew J. Orr-Ewing, Jonathan Clayden|2022|Chemical Science|13|2079|doi:10.1039/D1SC06684F
DOI: 10.5517/ccdc.csd.cc27xvgh
title: CCDC 2083307: Experimental Crystal Structure Determination

description: Related Article: Rakesh K. Saunthwal, James Mortimer, Andrew J. Orr-Ewing, Jonathan Clayden|2022|Chemical Science|13|2079|doi:10.1039/D1SC06684F
DOI: 10.5517/ccdc.csd.cc28ctm3
title: CCDC 2096735: Experimental Crystal Structure Determination

description: Related Article: Abhimanyu Jana, Abhishek Aher, Paula Brandao, Pradip Bera, Saphy Sharda, Ujjwal Phadikar, Sunil Kumar Manna, Ajit Kumar Mahapatra, Pulakesh Bera|2022|Dalton Trans.|51|2346|doi:10.1039/D1DT02825A
DOI: 10.5517/ccdc.csd.cc28ctn4
title: CCDC 2096736: Experimental Crystal Structure Determination

description: Related Article: Abhimanyu Jana, Abhishek Aher, Paula Brandao, Pradip Bera, Saphy Sharda, Ujjwal Phadikar, Sunil Kumar Manna, Ajit Kumar Mahapatra, Pulakesh Bera|2022|Dalton Trans.|51|2346|doi:10.1039/D1DT02825A
DOI: 10.5517/ccdc.csd.cc28ctr7
title: CCDC 2096739: Experimental Crystal Structure Determination

description: Related Article: Abhimanyu Jana, Abhishek Aher, Paula Brandao, Pradip Bera, Saphy Sharda, Ujjwal Phadikar, Sunil Kumar Manna, Ajit Kumar Mahapatra, Pulakesh Bera|2022|Dalton Trans.|51|2346|doi:10.1039/D1DT02825A
DOI: 10.5517/ccdc.csd.cc28jqsb
title: CCDC 2101452: Experimental Crystal Structure Determination

description: Related Article: Yushan Xiao, Yimin Jia, Jinfeng Huang, Xiangyu Li, Zhiwen Zhou, Jing Zhang, Mou Jiang, Xin Zhou, Zhong‐Xing Jiang, Zhigang Yang|2022|Adv.Synth.Catal.|364|738|doi:10.1002/adsc.202101271
DOI: 10.6084/m9.figshare.19199354
title: Unlabeled dataset from JEC

description: The dataset contains anonymized judgments from the Special Civel Court at the Federal University of Santa Catarina, Brazil<br>
DOI: 10.6084/m9.figshare.19199354.v1
title: Unlabeled dataset from JEC

description: The dataset contains anonymized judgments from the Special Civel Court at the Federal University of Santa Catarina, Brazil<br>
DOI: 10.5063/f1m9072x
title: Ephedra california parkland in Cuyama Valley, California

description: All shrubs on public lands in Cuyama Valley were measured. Ephedra californica in particular. Canopy and morphology.Census done in 2017.
DOI: 10.6073/pasta/84792c012a6e6e23bd0b31fb854d15f9
title: Eddy flux measurements during 2017 from low marsh site (Spartina alterniflora) within Shad Creek catchment, Rowley, Massachusetts, PIE LTER.

description: We deployed an eddy covariance system to measure ecosystem-atmosphere exchange of CO2 above a low marsh system (Spartina alterniflora) located within the Shad creek catchment off Plum Island Sound, Rowley MA. The data represents CO2 exchange for all July to October 2017. This site was established in 2015.
DOI: 10.3886/e119446v140
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: State policies. Smallest Geographic Unit: State
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
DOI: 10.6084/m9.figshare.19199429.v1
title: Benchmark 16S rRNA pseudoknotted secondary structures

description: Benchmark of pseudoknotted 16S rRNA Secondary Sructures for Evaluating Comparison Methods
DOI: 10.6084/m9.figshare.19199429
title: Benchmark 16S rRNA pseudoknotted secondary structures

description: Benchmark of pseudoknotted 16S rRNA Secondary Sructures for Evaluating Comparison Methods
DOI: 10.5281/zenodo.6141436
title: Obesity reshapes the microbial population structure along the gut-liver-lung axis in mice

description: Data repository for the paper: Galaris A., Fanidis D. et al. <em>Obesity reshapes the microbial population structure along the gut-liver-lung axis in mice</em>.<em> </em>2021 For further data requests and questions please contact the corresponding author of the respective publication. All fastq files have been processed to remove human and mouse sequences.
DOI: 10.5281/zenodo.6141435
title: Obesity reshapes the microbial population structure along the gut-liver-lung axis in mice

description: Data repository for the paper: Galaris A., Fanidis D. et al. <em>Obesity reshapes the microbial population structure along the gut-liver-lung axis in mice</em>.<em> </em>2021 For further data requests and questions please contact the corresponding author of the respective publication. All fastq files have been processed to remove human and mouse sequences.
DOI: 10.5281/zenodo.6147046
title: Data repository of Predictors of Social Response to COVID-19 among Health Care Workers Caring for Individuals with Confirmed COVID-19 in Jordan

description: The outbreak of COVID-19 forced public health authorities around the world to call for national emergency plans. Public responses, in form of social discrimination and stigmatizing behaviors, are increasingly being observed against confirmed individuals with confirmed COVID-19 and healthcare workers (HCWs) caring for those individuals. Hence, this study aimed to investigate the perception of social discrimination and coping strategies, and explore predictors of social discrimination and coping toward COVID-19 among HCWs and individuals with confirmed COVID-19. This study used a cross-sectional descriptive-comparative design to collect data using a convenience sample of 105 individuals with confirmed COVID-19 and 109 HCWs using a web-based survey format. In this study, individuals confirmed with COVID-19 reported a high level of social discrimination compared with HCWs (t = 2.62, <em>p</em> &lt; .01). While HCWs reported high level of coping with COVID-19 compared with individuals with COVID-19 (t = -3.91, <em>p</em> &lt; .001). Educational level, age, monthly income, and taking over-the-counter medication were predictors of social discrimination and coping with COVID-19 among HCWs and individuals confirmed with COVID-19. In conclusion, the findings showed individuals with confirmed COVID-19 were more likely to face social discrimination and HCWs perform better coping with COVID-19 than individuals with confirmed COVID-19.
DOI: 10.5281/zenodo.6147144
title: Data repository of Predictors of Social Response to COVID-19 among Health Care Workers Caring for Individuals with Confirmed COVID-19 in Jordan

description: The outbreak of COVID-19 forced public health authorities around the world to call for national emergency plans. Public responses, in form of social discrimination and stigmatizing behaviors, are increasingly being observed against confirmed individuals with confirmed COVID-19 and healthcare workers (HCWs) caring for those individuals. Hence, this study aimed to investigate the perception of social discrimination and coping strategies, and explore predictors of social discrimination and coping toward COVID-19 among HCWs and individuals with confirmed COVID-19. This study used a cross-sectional descriptive-comparative design to collect data using a convenience sample of 105 individuals with confirmed COVID-19 and 109 HCWs using a web-based survey format. In this study, individuals confirmed with COVID-19 reported a high level of social discrimination compared with HCWs (t = 2.62, <em>p</em> &lt; .01). While HCWs reported high level of coping with COVID-19 compared with individuals with COVID-19 (t = -3.91, <em>p</em> &lt; .001). Educational level, age, monthly income, and taking over-the-counter medication were predictors of social discrimination and coping with COVID-19 among HCWs and individuals confirmed with COVID-19. In conclusion, the findings showed individuals with confirmed COVID-19 were more likely to face social discrimination and HCWs perform better coping with COVID-19 than individuals with confirmed COVID-19.
DOI: 10.5281/zenodo.5893033
title: Data repository of Predictors of Social Response to COVID-19 among Health Care Workers Caring for Individuals with Confirmed COVID-19 in Jordan

description: The outbreak of COVID-19 forced public health authorities around the world to call for national emergency plans. Public responses, in form of social discrimination and stigmatizing behaviors, are increasingly being observed against confirmed individuals with confirmed COVID-19 and healthcare workers (HCWs) caring for those individuals. Hence, this study aimed to investigate the perception of social discrimination and coping strategies, and explore predictors of social discrimination and coping toward COVID-19 among HCWs and individuals with confirmed COVID-19. This study used a cross-sectional descriptive-comparative design to collect data using a convenience sample of 105 individuals with confirmed COVID-19 and 109 HCWs using a web-based survey format. In this study, individuals confirmed with COVID-19 reported a high level of social discrimination compared with HCWs (t = 2.62, <em>p</em> &lt; .01). While HCWs reported high level of coping with COVID-19 compared with individuals with COVID-19 (t = -3.91, <em>p</em> &lt; .001). Educational level, age, monthly income, and taking over-the-counter medication were predictors of social discrimination and coping with COVID-19 among HCWs and individuals confirmed with COVID-19. In conclusion, the findings showed individuals with confirmed COVID-19 were more likely to face social discrimination and HCWs perform better coping with COVID-19 than individuals with confirmed COVID-19.
DOI: 10.6084/m9.figshare.19199444
title: data_ICDACPP

description: cloud manufacturing data
DOI: 10.6084/m9.figshare.19199444.v1
title: data_ICDACPP

description: cloud manufacturing data
DOI: 10.6084/m9.figshare.19199471.v1
title: TKA and Healthy Subject Demographics

description: Participant demographics
DOI: 10.6084/m9.figshare.19199426
title: TKA Subject Raw EMG, Marker, and Force Plate Data (.mat)

description: TKA Subject Raw EMG, Marker, and Force Plate Data (.mat)
DOI: 10.6084/m9.figshare.19199426.v1
title: TKA Subject Raw EMG, Marker, and Force Plate Data (.mat)

description: TKA Subject Raw EMG, Marker, and Force Plate Data (.mat)
DOI: 10.6084/m9.figshare.19199471
title: TKA and Healthy Subject Demographics

description: Participant demographics
DOI: 10.5517/ccdc.csd.cc28t74h
title: CCDC 2109616: Experimental Crystal Structure Determination

description: Related Article: Varshini J. Kumar, Jian-Zhong Wu, Martyna Judd, Elodie Rousset, Marcus Korb, Stephen A. Moggach, Nicholas Cox, Paul J. Low|2022|J.Mater.Chem.C|10|1896|doi:10.1039/D1TC05495C
DOI: 10.5517/ccdc.csd.cc28t75j
title: CCDC 2109617: Experimental Crystal Structure Determination

description: Related Article: Varshini J. Kumar, Jian-Zhong Wu, Martyna Judd, Elodie Rousset, Marcus Korb, Stephen A. Moggach, Nicholas Cox, Paul J. Low|2022|J.Mater.Chem.C|10|1896|doi:10.1039/D1TC05495C
DOI: 10.5517/ccdc.csd.cc28t76k
title: CCDC 2109618: Experimental Crystal Structure Determination

description: Related Article: Varshini J. Kumar, Jian-Zhong Wu, Martyna Judd, Elodie Rousset, Marcus Korb, Stephen A. Moggach, Nicholas Cox, Paul J. Low|2022|J.Mater.Chem.C|10|1896|doi:10.1039/D1TC05495C
DOI: 10.5517/ccdc.csd.cc28t77l
title: CCDC 2109619: Experimental Crystal Structure Determination

description: Related Article: Varshini J. Kumar, Jian-Zhong Wu, Martyna Judd, Elodie Rousset, Marcus Korb, Stephen A. Moggach, Nicholas Cox, Paul J. Low|2022|J.Mater.Chem.C|10|1896|doi:10.1039/D1TC05495C
DOI: 10.5517/ccdc.csd.cc28t78m
title: CCDC 2109620: Experimental Crystal Structure Determination

description: Related Article: Varshini J. Kumar, Jian-Zhong Wu, Martyna Judd, Elodie Rousset, Marcus Korb, Stephen A. Moggach, Nicholas Cox, Paul J. Low|2022|J.Mater.Chem.C|10|1896|doi:10.1039/D1TC05495C
DOI: 10.5517/ccdc.csd.cc28t79n
title: CCDC 2109621: Experimental Crystal Structure Determination

description: Related Article: Varshini J. Kumar, Jian-Zhong Wu, Martyna Judd, Elodie Rousset, Marcus Korb, Stephen A. Moggach, Nicholas Cox, Paul J. Low|2022|J.Mater.Chem.C|10|1896|doi:10.1039/D1TC05495C
DOI: 10.5517/ccdc.csd.cc28t7bp
title: CCDC 2109622: Experimental Crystal Structure Determination

description: Related Article: Varshini J. Kumar, Jian-Zhong Wu, Martyna Judd, Elodie Rousset, Marcus Korb, Stephen A. Moggach, Nicholas Cox, Paul J. Low|2022|J.Mater.Chem.C|10|1896|doi:10.1039/D1TC05495C
DOI: 10.5517/ccdc.csd.cc28tzx0
title: CCDC 2110353: Experimental Crystal Structure Determination

description: Related Article: Toshio Naito, Hayato Takeda, Yusuke Matsuzawa, Megumi Kurihara, Akio Yamada, Yusuke Nakamura, Takashi Yamamoto|2022|Mat.Advs.|3|1506|doi:10.1039/D1MA00933H
DOI: 10.5517/ccdc.csd.cc28tzy1
title: CCDC 2110354: Experimental Crystal Structure Determination

description: Related Article: Toshio Naito, Hayato Takeda, Yusuke Matsuzawa, Megumi Kurihara, Akio Yamada, Yusuke Nakamura, Takashi Yamamoto|2022|Mat.Advs.|3|1506|doi:10.1039/D1MA00933H
DOI: 10.5517/ccdc.csd.cc28v08f
title: CCDC 2110364: Experimental Crystal Structure Determination

description: Related Article: Toshio Naito, Hayato Takeda, Yusuke Matsuzawa, Megumi Kurihara, Akio Yamada, Yusuke Nakamura, Takashi Yamamoto|2022|Mat.Advs.|3|1506|doi:10.1039/D1MA00933H
DOI: 10.5517/ccdc.csd.cc28v09g
title: CCDC 2110365: Experimental Crystal Structure Determination

description: Related Article: Toshio Naito, Hayato Takeda, Yusuke Matsuzawa, Megumi Kurihara, Akio Yamada, Yusuke Nakamura, Takashi Yamamoto|2022|Mat.Advs.|3|1506|doi:10.1039/D1MA00933H
DOI: 10.5517/ccdc.csd.cc28vk5w
title: CCDC 2110888: Experimental Crystal Structure Determination

description: Related Article: Cody B. van Beek, Nicolaas P. van Leest, Martin Lutz, Sander D. de Vos, Robertus J. M. Klein Gebbink, Bas de Bruin, Daniël L. J. Broere|2022|Chemical Science|13|2094|doi:10.1039/D1SC05473B
DOI: 10.5517/ccdc.csd.cc28vk6x
title: CCDC 2110889: Experimental Crystal Structure Determination

description: Related Article: Cody B. van Beek, Nicolaas P. van Leest, Martin Lutz, Sander D. de Vos, Robertus J. M. Klein Gebbink, Bas de Bruin, Daniël L. J. Broere|2022|Chemical Science|13|2094|doi:10.1039/D1SC05473B
DOI: 10.5517/ccdc.csd.cc28vk7y
title: CCDC 2110890: Experimental Crystal Structure Determination

description: Related Article: Cody B. van Beek, Nicolaas P. van Leest, Martin Lutz, Sander D. de Vos, Robertus J. M. Klein Gebbink, Bas de Bruin, Daniël L. J. Broere|2022|Chemical Science|13|2094|doi:10.1039/D1SC05473B
DOI: 10.5517/ccdc.csd.cc28vk8z
title: CCDC 2110891: Experimental Crystal Structure Determination

description: Related Article: Cody B. van Beek, Nicolaas P. van Leest, Martin Lutz, Sander D. de Vos, Robertus J. M. Klein Gebbink, Bas de Bruin, Daniël L. J. Broere|2022|Chemical Science|13|2094|doi:10.1039/D1SC05473B
DOI: 10.5281/zenodo.6147617
title: Large Radius Tracking Events in pp collisions with a Generic detector

description: This dataset is generated with the ACTS framework, using a generic detector description (similar to the one in the TrackML challenge) and a constant magnetic field of 2 Tesla in the beam direction (i.e. z-axis). The event simulation was done via the Fastras and the digitization was done via smearing functions, which is configured with the default configuration file in ACTS. We did not use an exact release when producing the dataset, but we believe release v15.0.0 should reproduce the dataset. We processed the original outputs from ACTS so that the dataset is machine-learning friendly. Four different physics processes are generated with the Pythia8 generator at 13 TeV of proton-proton collisions without the presence of addition collision (i.e. no pileup events). Heavy Neural Lepton with the neutral lepton mass of 15 GeV and a lifetime of 100 mm Heavy Neural Lepton with the neutral lepton mass of 10 GeV and a lifetime of 100 mm. Heavy Neural Lepton with the neutral lepton mass of 15 GeV and a lifetime of 200 mm. ttbar events The heavy neural lepton generated along with a neutrino through a virtual W boson is forced to decay to two muons and a muon neutrino. The dataset is saved as the torch dataset. One can access it via the following code snippet. <pre><code class="language-python">&gt;&gt;&gt; import torch &gt;&gt;&gt; data = torch.load("ttbar_PileUp000_10K_Processed/100") &gt;&gt;&gt; data Data(event_file="PileUp000_10K/event000000100", hid=[1634], layerless_true_edges=[2, 1477], layers=[1634], pid=[1634], x=[1634, 3])</code></pre> <em>x</em> is a table of spacepoints with dimension of [number of spacepoints, number of spacepoint features], the spacepoint features are their 3D global position. <em>pid</em> is a table of particle IDs each spacepoint associated with. hid is a table of spacepoint IDs, <em>layerless_true_edges</em> is a table of the true-level edges where edges connect spacepoints coming from the same track.