cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7329879
title: Data Repository: 2022 Hawai'i Cesspool Hazard Assessment & Prioritization Tool

description: Data Repository, Codebase, inputs and Results for the Hawaii Cesspool Prioritization Tool. A project conducted by University of Hawaii Sea Grant and Water Resources Research Center, Data updated October 2022. Please see also: <br> https://github.com/cshuler/Act132_Cesspool_Prioritization and https://health.hawaii.gov/wastewater/files/2022/11/prioritizationtoolreport.pdf
DOI: 10.5066/p9bry5cc
title: Possible Cattle Access Points on Select Streams within the Smith Creek Watershed Derived from 2018 NAIP Imagery

description: This data release contains one shapefile describing cattle access to a total of 36 different sub basins within the Smith Creek Watershed located in Virginia and West Virginia. This data release identifies areas in satellite imagery where cattle were observed to have access to the stream (confirmed access), areas where cattle exist, and are not fenced off from the stream (unrestricted access), and areas that cattle do not have the potential to enter the stream (restricted access) at the time of imagery capture. Streams were defined using a combination of geospatial data and visually assessing channel morphology in aerial imagery. Cattle access points were determined by visually assessing satellite imagery for barren or disturbed earth adjacent to stream morphology that suggest cattle paths.
DOI: 10.5281/zenodo.7331957
title: Data for: Changes in evapotranspiration, transpiration and evaporation across natural and managed landscapes in the Amazon, Cerrado and Pantanal biomes

description: This dataset contains measurements of evapotranspiration and other meteorological variables (net radiation, air temperature, vapor pressure deficit, etc) from nine eddy covariance towers located in different ecosystems in the Amazon (natural Amazon forest, cropland and pastureland), Cerrado (natural savannah, irrigated and rainfed croplands) and Pantanal (natural forest, pastureland) biomes. It also contains estimates of transpiration that were calculated using two different approaches, the transpiration estimation algorithm (TEA) and the underlying water use efficiency method (uWUE).
DOI: 10.5281/zenodo.7331956
title: Data for: Changes in evapotranspiration, transpiration and evaporation across natural and managed landscapes in the Amazon, Cerrado and Pantanal biomes

description: This dataset contains measurements of evapotranspiration and other meteorological variables (net radiation, air temperature, vapor pressure deficit, etc) from nine eddy covariance towers located in different ecosystems in the Amazon (natural Amazon forest, cropland and pastureland), Cerrado (natural savannah, irrigated and rainfed croplands) and Pantanal (natural forest, pastureland) biomes. It also contains estimates of transpiration that were calculated using two different approaches, the transpiration estimation algorithm (TEA) and the underlying water use efficiency method (uWUE).
DOI: 10.5281/zenodo.7331083
title: IXI025 - IT'IS Template Head Segmentation Repository

description: The IXI025 head model is based on the IXI dataset (subject 025) and includes a whole head segmentation, surface-based model, anatomical images, diffusion weighted images, and fiducials for 10-10 system.
description: If you use this data, please cite it using these metadata.
DOI: 10.5281/zenodo.7331082
title: IXI025 - IT'IS Template Head Segmentation Repository

description: The IXI025 head model is based on the IXI dataset (subject 025) and includes a whole head segmentation, surface-based model, anatomical images, diffusion weighted images, and fiducials for 10-10 system.
description: If you use this data, please cite it using these metadata.
DOI: 10.5281/zenodo.7332002
title: Agroforestry datasets and calculations

description: Agroforestry datasets and calculations
DOI: 10.5281/zenodo.7331924
title: A General Framework for Spatial Capture-Recapture with Unknown Identities

description: Data to accompany examples in the manuscript.
DOI: 10.5281/zenodo.7331925
title: A General Framework for Spatial Capture-Recapture with Unknown Identities

description: Data to accompany examples in the manuscript.
DOI: 10.5281/zenodo.7332004
title: A General Framework for Spatial Capture-Recapture with Unknown Identities

description: Data to accompany examples in the manuscript.
DOI: 10.5281/zenodo.4587827
title: Glass fiber-reinforced polyamide 66 3D X-ray computed tomography dataset for deep learning segmentation

description: Stack of 2D gray images of glass fiber-reinforced polyamide 66 (GF-PA66) 3D X-ray Computed Tomography (XCT) specimen. Usage: 2D/3D image segmentation<br> Format: HDF5 Libraries to read HDF5 files: 1) silx: https://github.com/silx-kit/silx 2) h5py: https://www.h5py.org/ 3) pymicro: https://github.com/heprom/pymicro Trained models to segment this dataset: https://doi.org/10.5281/zenodo.4601560 Please cite us as @ARTICLE{10.3389/fmats.2021.761229,<br> AUTHOR={Bertoldo, João P. C. and Decencière, Etienne and Ryckelynck, David and Proudhon, Henry}, <br> TITLE={A Modular U-Net for Automated Segmentation of X-Ray Tomography Images in Composite Materials}, <br> JOURNAL={Frontiers in Materials}, <br> VOLUME={8}, <br> YEAR={2021}, <br> URL={https://www.frontiersin.org/article/10.3389/fmats.2021.761229}, <br> DOI={10.3389/fmats.2021.761229}, <br> ISSN={2296-8016}, <br> }
DOI: 10.5281/zenodo.4587826
title: Glass fiber-reinforced polyamide 66 3D X-ray computed tomography dataset for deep learning segmentation

description: Stack of 2D gray images of glass fiber-reinforced polyamide 66 (GF-PA66) 3D X-ray Computed Tomography (XCT) specimen. Usage: 2D/3D image segmentation<br> Format: HDF5 Libraries to read HDF5 files: 1) silx: https://github.com/silx-kit/silx 2) h5py: https://www.h5py.org/ 3) pymicro: https://github.com/heprom/pymicro Trained models to segment this dataset: https://doi.org/10.5281/zenodo.4601560 Please cite us as @ARTICLE{10.3389/fmats.2021.761229,<br> AUTHOR={Bertoldo, João P. C. and Decencière, Etienne and Ryckelynck, David and Proudhon, Henry}, <br> TITLE={A Modular U-Net for Automated Segmentation of X-Ray Tomography Images in Composite Materials}, <br> JOURNAL={Frontiers in Materials}, <br> VOLUME={8}, <br> YEAR={2021}, <br> URL={https://www.frontiersin.org/article/10.3389/fmats.2021.761229}, <br> DOI={10.3389/fmats.2021.761229}, <br> ISSN={2296-8016}, <br> }
DOI: 10.3886/e143541v1-130666
title: Code for: Does Race Matter for Police Use of Force? Evidence from 911 Calls

description: Data and Code for Does Race Matter for Police Use of Force? Evidence from 911 Calls <br><br>This paper examines race and police use of force using data on 1.6 million 911 calls in two cities, neither of which allows for discretion in officer dispatch. Results indicate white officers increase force much more than minority officers when dispatched to more minority neighborhoods. Estimates indicate black (Hispanic) civilians are 55 (75) percent more likely to experience any force, and five times as likely to experience a police shooting, compared to if white officers scaled up force similarly to minority officers. Additionally, 14 percent of white officers use excess force in black neighborhoods relative to our statistical benchmark.<br>
DOI: 10.5281/zenodo.7004065
title: ICB_Braun

description: ICB_Braun data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7058134
title: ICB_Braun

description: ICB_Braun data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7079797
title: ICB_Braun

description: ICB_Braun data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7004064
title: ICB_Braun

description: ICB_Braun data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7332074
title: ICB_Braun

description: ICB_Braun data object generated by ORCESTRA.
DOI: 10.21227/06ew-mt32
title: CRAWDAD iiitd/wifiactivescanning

description: Cause-Specific Episodes of Active Scanning. The dataset includes packet captures collected from controlled experiments with various devices. The dataset captures active scanning behavior of the devices.Name of each folder represents the name of the cause of active scanning.For details please refer to our papers - Learning to Rescue WiFi Networks from Unnecessary Active Scans, WoWMoM 2019.data collection methodology: ControlledTraceset iiitd/wifiactivescanning/WiFi-ActiveScanning-Episodesmeasurement purpose: Network Diagnosis, Network Performance Analysis, MAC Protocol Development, Positioning Systems, Localizationmethodology: The dataset was collected in a controlled environment with smartphones and laptops that we could control.Every file contains an episode of active scanningWiFi-ActiveScanning-Episodes Traceiiitd/wifiactivescanning/WiFi-ActiveScanning-Episodesfiles: README.md, ap_side_procedures-20190605.zip, wifiactivescanning, beacon_loss-20190605.zip, connection_establishment-20190605.zip, low_rssi-20190605.zip, periodic_scan-20190605.zip, power_state-20190605.zipconfiguration: The dataset is collected with TP-Link USB WiFi adapters with Atheros chipset and ath9k driver. The adapters were configured in monitor mode to capture the traffic. We used tshark to record the traffic. The datasetis in pcapng format. It can be converted to pcap and csv format for further processing.format: The structure of data is described below: The data is available in Wireshark compatibleformat (.pcapng). The capture files for each cause is under a separate directory.
DOI: 10.17909/qhb4-fy92
title: CEERS NIRCam Images
DOI: 10.3886/e183044
title: Burnout_COVID

description: <b>Objectives:</b> Healthcare personnel have faced unprecedented mental health challenges during the COVID-19 pandemic. The study objective is to assess differences in depression, anxiety, and burnout among healthcare personnel with various occupational roles and whether financial and job strain were associated with these mental health outcomes. <b>Methods: </b>We employed<b> </b>an anonymous survey between July and August 2020 at an urban county hospital in California, USA. We assessed depression, anxiety, and burnout using validated scales, and asked questions on financial strain and job strain. We performed logistic and linear regression analyses. <b>Results:</b> Nurses (aOR 1.93, 95% CIs 1.12, 3.46), social workers (aOR 2.61, 95% CIs 1.35, 5.17), service workers (aOR 2.55, 95% CIs 1.20, 5.48), and administrative workers (aOR 2.93, 95% CIs 1.57, 5.61) were more likely than physicians to screen positive for depression. The odds of screening positive for anxiety were significantly lower for ancillary workers (aOR 0.32, 95% CIs 0.13–0.72) compared with physicians. Ancillary (aB = -1.77, 95% CIs -1.88, -0.47) and laboratory and pharmacy workers (aB -0.70, 95% CI -1.34, -0.06) reported lower levels of burnout compared with physicians. Financial strain partially accounted for differences in mental health outcomes across job categories. Lack of time to complete tasks and lack of supervisory support were associated with higher odds of screening positive for depression. Less job autonomy was associated with higher odds of screening positive for anxiety and higher burnout levels. <b>Conclusions:</b> We found significant disparities in mental health outcomes across occupational roles. Policies to mitigate the adverse impact of COVID-19 on health workers’ mental health should include non-clinical staff and address financial support and job characteristics for all occupational roles.
DOI: 10.3886/e183044v1
title: Burnout_COVID

description: <b>Objectives:</b> Healthcare personnel have faced unprecedented mental health challenges during the COVID-19 pandemic. The study objective is to assess differences in depression, anxiety, and burnout among healthcare personnel with various occupational roles and whether financial and job strain were associated with these mental health outcomes. <b>Methods: </b>We employed<b> </b>an anonymous survey between July and August 2020 at an urban county hospital in California, USA. We assessed depression, anxiety, and burnout using validated scales, and asked questions on financial strain and job strain. We performed logistic and linear regression analyses. <b>Results:</b> Nurses (aOR 1.93, 95% CIs 1.12, 3.46), social workers (aOR 2.61, 95% CIs 1.35, 5.17), service workers (aOR 2.55, 95% CIs 1.20, 5.48), and administrative workers (aOR 2.93, 95% CIs 1.57, 5.61) were more likely than physicians to screen positive for depression. The odds of screening positive for anxiety were significantly lower for ancillary workers (aOR 0.32, 95% CIs 0.13–0.72) compared with physicians. Ancillary (aB = -1.77, 95% CIs -1.88, -0.47) and laboratory and pharmacy workers (aB -0.70, 95% CI -1.34, -0.06) reported lower levels of burnout compared with physicians. Financial strain partially accounted for differences in mental health outcomes across job categories. Lack of time to complete tasks and lack of supervisory support were associated with higher odds of screening positive for depression. Less job autonomy was associated with higher odds of screening positive for anxiety and higher burnout levels. <b>Conclusions:</b> We found significant disparities in mental health outcomes across occupational roles. Policies to mitigate the adverse impact of COVID-19 on health workers’ mental health should include non-clinical staff and address financial support and job characteristics for all occupational roles.
DOI: 10.5281/zenodo.7004538
title: ICB_Gide

description: ICB_Gide data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7004537
title: ICB_Gide

description: ICB_Gide data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7058153
title: ICB_Gide

description: ICB_Gide data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7332096
title: ICB_Gide

description: ICB_Gide data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7332098
title: Contractes públics adjudicats sense procediments de publicitat dins la Comunidad de Madrid

description: Dataset sobre els contractes públics adjudicats sense procediments de publicitat dins la Comunidad de Madrid.
DOI: 10.5281/zenodo.7332097
title: Contractes públics adjudicats sense procediments de publicitat dins la Comunidad de Madrid

description: Dataset sobre els contractes públics adjudicats sense procediments de publicitat dins la Comunidad de Madrid.
DOI: 10.5281/zenodo.7332101
title: Formation of the layered circulation in South China Sea with the mixing stimulated exchanging current through Luzon Strait

description: Formation of the layered circulation in South China Sea with the mixing stimulated exchanging current through Luzon Strait
DOI: 10.5281/zenodo.7332100
title: Formation of the layered circulation in South China Sea with the mixing stimulated exchanging current through Luzon Strait

description: Formation of the layered circulation in South China Sea with the mixing stimulated exchanging current through Luzon Strait
DOI: 10.5281/zenodo.7331895
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5281/zenodo.7331964
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5281/zenodo.7331979
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 0.2: Add the <code>ir05</code> experiment. Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5281/zenodo.7331988
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 0.4: Add the <code>ir06</code> experiment. Version 0.3: Add the <code>ir05</code> experiment. Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5281/zenodo.7331991
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 0.5: Add the <code>ir07</code> experiment. Version 0.4: Add the <code>ir06</code> experiment. Version 0.3: Add the <code>ir05</code> experiment. Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5281/zenodo.7332016
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 0.6: Add the <code>ir12</code> experiment. Version 0.5: Add the <code>ir07</code> experiment. Version 0.4: Add the <code>ir06</code> experiment. Version 0.3: Add the <code>ir05</code> experiment. Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5281/zenodo.7332025
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 0.7: Add the <code>ir13</code> experiment. Version 0.6: Add the <code>ir12</code> experiment. Version 0.5: Add the <code>ir07</code> experiment. Version 0.4: Add the <code>ir06</code> experiment. Version 0.3: Add the <code>ir05</code> experiment. Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5281/zenodo.7332035
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 0.8: Add the <code>ir14</code> experiment. Version 0.7: Add the <code>ir13</code> experiment. Version 0.6: Add the <code>ir12</code> experiment. Version 0.5: Add the <code>ir07</code> experiment. Version 0.4: Add the <code>ir06</code> experiment. Version 0.3: Add the <code>ir05</code> experiment. Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5281/zenodo.7332040
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 0.9: Add the <code>ir15</code> experiment. Version 0.8: Add the <code>ir14</code> experiment. Version 0.7: Add the <code>ir13</code> experiment. Version 0.6: Add the <code>ir12</code> experiment. Version 0.5: Add the <code>ir07</code> experiment. Version 0.4: Add the <code>ir06</code> experiment. Version 0.3: Add the <code>ir05</code> experiment. Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5281/zenodo.7332046
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 0.10: Add the <code>ir16</code> experiment. Version 0.9: Add the <code>ir15</code> experiment. Version 0.8: Add the <code>ir14</code> experiment. Version 0.7: Add the <code>ir13</code> experiment. Version 0.6: Add the <code>ir12</code> experiment. Version 0.5: Add the <code>ir07</code> experiment. Version 0.4: Add the <code>ir06</code> experiment. Version 0.3: Add the <code>ir05</code> experiment. Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5281/zenodo.7332089
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 0.11: Add the <code>pr05</code> experiment. Version 0.10: Add the <code>ir16</code> experiment. Version 0.9: Add the <code>ir15</code> experiment. Version 0.8: Add the <code>ir14</code> experiment. Version 0.7: Add the <code>ir13</code> experiment. Version 0.6: Add the <code>ir12</code> experiment. Version 0.5: Add the <code>ir07</code> experiment. Version 0.4: Add the <code>ir06</code> experiment. Version 0.3: Add the <code>ir05</code> experiment. Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.