cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13125485.v1
title: [2020-4-15] Tidal Area Drone Orthomosaic, Digital Surface Model, and Processing Report

description: This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the April 15, 2020 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the tidal study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon total station was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see Alexandra's dissertation (University of New Hampshire, 2021) for additional information on the drone products.<br><br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.5281/zenodo.5154535
title: Decreased aviation leads to increased ice crystal number and a positive radiative effect

description: This is the dataset to support our paper titled of "Decreased aviation leads to increased ice crystal number and a positive radiative effect". Travel restrictions in the wake of the COVID-19 pandemic resulted in an unprecedented decrease of 73% in global flight mileage in April-May 2020 compared to 2019. Here we examine the CALIPSO satellite observations and find a significant increase in ice crystal number concentrations (Ni) in cirrus clouds in the mid-latitudes of the Northern Hemisphere, which we attribute to an increase in homogeneous freezing when soot from aircraft emissions is reduced. A relatively small positive radiative effect of 21 mWm<sup>-2</sup> is estimated if a decrease in aircraft traffic continues. We infer from this analysis that the worldwide adoption of biofuel blending in aircraft fuels that lead to smaller soot emissions could lead to a significant change in the microphysical properties of cirrus clouds but a rather small positive radiative effect. This dataset including three sections. The data are model output or input from climate simulations conducted with Community Earth System Model (CESM) version 1.2.2 with IMPACT aerosol module. The input files are default in the component set of "FC5" in the CESM model. The files in the dataset are described below: <strong>Model code.zip: </strong>This tar file contains the sources code of the IMPACT aerosol module that we implemented as additional aerosol module embedded in the CESM model which is publicly available from NCAR repository. This code is used to create model output list in this dataset. <strong>2020_act.rar: </strong>This tar file contains NetCDF out file of daily mean meteorological and aerosol fields during January and May in 2020 from the model based on the actual aviation activity in 2020. <strong>2020_yes.rar: </strong>This tar file contains NetCDF out file of daily mean meteorological and aerosol fields during January and May in 2020 from the model assuming the aviation activity in 2020 is same as 2019. <strong>Year_act.zip: </strong>This tar file contains NetCDF out file of annual mean meteorological and aerosol fields in the next five years from the model assuming the aviation restriction in 2020 last for the next five years. <strong>Year_yes.zip: </strong>This tar file contains NetCDF out file of annual mean meteorological and aerosol fields in the next five years from the model assuming the aviation activity keeping same as 2019 in the next five years. <strong>filght.zip:</strong> The FlightRadar24 commercial database of flight mileages from January 2019 to May 2020 at 1°x1° resolution, which were used as input file in our model.
DOI: 10.5281/zenodo.5154534
title: Decreased aviation leads to increased ice crystal number and a positive radiative effect

description: This is the dataset to support our paper titled of "Decreased aviation leads to increased ice crystal number and a positive radiative effect". Travel restrictions in the wake of the COVID-19 pandemic resulted in an unprecedented decrease of 73% in global flight mileage in April-May 2020 compared to 2019. Here we examine the CALIPSO satellite observations and find a significant increase in ice crystal number concentrations (Ni) in cirrus clouds in the mid-latitudes of the Northern Hemisphere, which we attribute to an increase in homogeneous freezing when soot from aircraft emissions is reduced. A relatively small positive radiative effect of 21 mWm<sup>-2</sup> is estimated if a decrease in aircraft traffic continues. We infer from this analysis that the worldwide adoption of biofuel blending in aircraft fuels that lead to smaller soot emissions could lead to a significant change in the microphysical properties of cirrus clouds but a rather small positive radiative effect. This dataset including three sections. The data are model output or input from climate simulations conducted with Community Earth System Model (CESM) version 1.2.2 with IMPACT aerosol module. The input files are default in the component set of "FC5" in the CESM model. The files in the dataset are described below: <strong>Model code.zip: </strong>This tar file contains the sources code of the IMPACT aerosol module that we implemented as additional aerosol module embedded in the CESM model which is publicly available from NCAR repository. This code is used to create model output list in this dataset. <strong>2020_act.rar: </strong>This tar file contains NetCDF out file of daily mean meteorological and aerosol fields during January and May in 2020 from the model based on the actual aviation activity in 2020. <strong>2020_yes.rar: </strong>This tar file contains NetCDF out file of daily mean meteorological and aerosol fields during January and May in 2020 from the model assuming the aviation activity in 2020 is same as 2019. <strong>Year_act.zip: </strong>This tar file contains NetCDF out file of annual mean meteorological and aerosol fields in the next five years from the model assuming the aviation restriction in 2020 last for the next five years. <strong>Year_yes.zip: </strong>This tar file contains NetCDF out file of annual mean meteorological and aerosol fields in the next five years from the model assuming the aviation activity keeping same as 2019 in the next five years. <strong>filght.zip:</strong> The FlightRadar24 commercial database of flight mileages from January 2019 to May 2020 at 1°x1° resolution, which were used as input file in our model.
DOI: 10.6084/m9.figshare.13125344
title: [2019-9-4] Tidal Area Drone Orthomosaic, Digital Surface Model, and Processing Report

description: This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the September 4, 2019 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the tidal study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon total station was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see Alexandra's dissertation (University of New Hampshire, 2021) for additional information on the drone products. Please disregard the July date in the report title - it was not properly deleted before exporting the report out of PhotoScan.<br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.13125344.v1
title: [2019-9-4] Tidal Area Drone Orthomosaic, Digital Surface Model, and Processing Report

description: This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the September 4, 2019 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the tidal study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon total station was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see Alexandra's dissertation (University of New Hampshire, 2021) for additional information on the drone products. Please disregard the July date in the report title - it was not properly deleted before exporting the report out of PhotoScan.<br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.13125269
title: [2019-6-26] Tidal Area Drone Orthomosaic, Digital Surface Model, and Processing Report

description: This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the June 26, 2019 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the tidal study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon total station was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see Alexandra's dissertation (University of New Hampshire, 2021) for additional information on the drone products.<br><br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.13125269.v1
title: [2019-6-26] Tidal Area Drone Orthomosaic, Digital Surface Model, and Processing Report

description: This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the June 26, 2019 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the tidal study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon total station was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see Alexandra's dissertation (University of New Hampshire, 2021) for additional information on the drone products.<br><br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.13119983
title: [2018-11-30] Tidal Area Drone Orthomosaic, Digital Surface Model, and Processing Report

description: This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the November 30, 2018 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the tidal study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon total station was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see Alexandra's dissertation (University of New Hampshire, 2021) for additional information on the drone products.<br><br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.13110395
title: [2018-8-23] Upper Impoundment Drone Orthomosaic, Digital Surface Model, and Processing Report

description: This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the August 23, 2018 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the upper impoundment study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon Hiper Lite+ was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see Alexandra's dissertation (University of New Hampshire, 2021) for additional information on the drone products.<br><br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.13110395.v1
title: [2018-8-23] Upper Impoundment Drone Orthomosaic, Digital Surface Model, and Processing Report

description: This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the August 23, 2018 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the upper impoundment study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon Hiper Lite+ was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see Alexandra's dissertation (University of New Hampshire, 2021) for additional information on the drone products.<br><br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.13105817
title: [2018-8-23] Vegetation Area Drone Orthomosaic, Digital Surface Model, and Processing Report

description: This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the August 23, 2018 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the vegetation study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon Hiper Lite+ was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see Alexandra's dissertation (University of New Hampshire, 2021) for additional information on the drone products.<br><br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.6084/m9.figshare.13105817.v1
title: [2018-8-23] Vegetation Area Drone Orthomosaic, Digital Surface Model, and Processing Report

description: This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the August 23, 2018 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the vegetation study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon Hiper Lite+ was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see Alexandra's dissertation (University of New Hampshire, 2021) for additional information on the drone products.<br><br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.25377/sussex.13522259
title: Data for manuscript "Aligning Dimensions of Interoceptive Experience "ADIE" against anxiety in autistic adults: A superiority randomized controlled trial"

description: Data for paper "Interoceptive training to target anxiety in autistic adults (ADIE): A single-centre, randomized controlled trial" in EClinicalMedicine (July 2021)<br>Excel workbook containing demographic, behavioural, and self-report data from the "Aligning Dimensions of Interoceptive Experience "ADIE" against anxiety in autistic adults" superiority randomized controlled trial.Glossary with variable descriptions included.<br>Abstract:<b><i>Background</i></b> This trial tested if a novel therapy, Aligning Dimensions of Interoceptive Experience (ADIE), reduces anxiety in autistic adults. ADIE targets the association of anxiety with mismatch between subjective and behavioural measures of an individual’s <i>interocepti</i>ve <i>sensitivity</i> to bodily signals, including heartbeats. <b><i>Methods</i></b> In this superiority randomized controlled trial, autistic adults (18-65 years) from clinical and community settings in Southern England were randomly assigned (1:1) to receive six sessions of ADIE or an active ‘exteroceptive’ control therapy (emotional prosody identification). Researchers conducting outcome assessments were blind to allocation. ADIE combines two modified heartbeat detection tasks with performance feedback and physical activity manipulation that transiently increases cardiac arousal. Participants were followed-up one-week (T1) and 3-months post-intervention (T2). The primary outcome was Spielberger Trait Anxiety Score (STAI-T) at T2. Outcomes were assessed on an intention-to-treat basis using multiple imputation for dealing with missing values. This trial was registered at International Standard Randomized Controlled Trial Registry, ISRCTN14848787. <b><i>Findings</i></b> Between July 01, 2017, and December 31, 2019, 121 participants were randomly allocated to ADIE (n=61) or prosody (n=60) intervention groups. Data at T1 was provided by 85 (70%) participants (46 [75%] ADIE; 39 [65%] prosody). Data at T2 was provided by 61 (50%) participants (36 [59%] ADIE; 25 [42%] prosody). One adverse event (cardiac anxiety following ADIE) was recorded. A statistically significant group effect of ADIE on trait anxiety continued at T2 (estimated mean difference 3∙23 [95% CI 1∙13 to 5∙29]; <i>d</i>=0∙30 [95% CI 0∙09 to 0∙51]; p=0∙005) with 31% of ADIE group participants meeting trial criteria for recovery (compared to 16% in the control group). <b><i>Interpretation </i></b>ADIE can reduce anxiety in autistic adults, putatively improving regulatory control over internal stimuli. With little reliance on language and emotional insight, ADIE may constitute an inclusive intervention. <b><i>Funding </i></b><i>MQ: Transforming Mental Health</i> PsyImpact Grant.<br><br><br><br><br>