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Dataset results
64 results for “Radiative forcing”
CAR TARFOX Tropospheric Aerosol Radiative Forcing Observational Experiment L1 V1 (CAR_TARFOX_L1C) at GES DISC
CAR TARFOX mission collected data in the western Atlantic Ocean on the effects of tropospheric aerosols on radiation budgets in cloud free skies. The mission also measured the chemical, physical, and optical properties of aerosols.
Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) - Scanning Mobility Particle Sizer from Wallops ground station
TARFOX_WALLOPS_SMPS is the Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) Scanning Mobility Particle Sizer (SMPS) data set from Wallops ground station. The TARFOX Intensive Field Campaign was conducted July 10-31, 1996. It included coordinated measurements from four satellites (GOES-8, NOAA-14, ERS-2, LANDSAT), four aircraft (ER-2, C-130, C-131A, and a modified Cessna), land sites, and ships. A variety of aerosol conditions was sampled, ranging from relatively clean behind frontal passages to moderately polluted with aerosol optical depths exceeding 0.5 at mid-visible wavelengths. Gradients of aerosol optical thickness were sampled to aid in isolating aerosol effects from other radiative effects and to more tightly constrain closure tests, including those of satellite retrievals. Early results from TARFOX include demonstration of the unexpected importance of carbonaceous compounds and water condensed on aerosol in the US mid-Atlantic haze plume, chemical apportionment of the aerosol optical depth, measurements of the downward component of aerosol radiative forcing, and agreement between forcing measurements and calculations.
Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) - Vaisala Radiosonde data from Wallops ground station
TARFOX_WALLOPS_SONDE is the Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) Vaisala radiosonde data set from balloons launched at Wallops ground station. The TARFOX Intensive Field Campaign was conducted July 10-31, 1996. It included coordinated measurements from four satellites (GOES-8, NOAA-14, ERS-2, LANDSAT), four aircraft (ER-2, C-130, C-131A, and a modified Cessna), land sites, and ships. A variety of aerosol conditions was sampled, ranging from relatively clean behind frontal passages to moderately polluted with aerosol optical depths exceeding 0.5 at mid-visible wavelengths. Gradients of aerosol optical thickness were sampled to aid in isolating aerosol effects from other radiative effects and to more tightly constrain closure tests, including those of satellite retrievals. Early results from TARFOX include demonstration of the unexpected importance of carbonaceous compounds and water condensed on aerosol in the US mid-Atlantic haze plume, chemical apportionment of the aerosol optical depth, measurements of the downward component of aerosol radiative forcing, and agreement between forcing measurements and calculations.
Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) - meteorological data from Wallops ground station
TARFOX_WALLOPS_MET is the Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) Surface Meteorological data set Wallops ground station.The TARFOX Intensive Field Campaign was conducted July 10-31, 1996. It included coordinated measurements from four satellites (GOES-8, NOAA-14, ERS-2, LANDSAT), four aircraft (ER-2, C-130, C-131A, and a modified Cessna), land sites, and ships. A variety of aerosol conditions was sampled, ranging from relatively clean behind frontal passages to moderately polluted with aerosol optical depths exceeding 0.5 at mid-visible wavelengths. Gradients of aerosol optical thickness were sampled to aid in isolating aerosol effects from other radiative effects and to more tightly constrain closure tests, including those of satellite retrievals. Early results from TARFOX include demonstration of the unexpected importance of carbonaceous compounds and water condensed on aerosol in the US mid-Atlantic haze plume, chemical apportionment of the aerosol optical depth, measurements of the downward component of aerosol radiative forcing, and agreement between forcing measurements and calculations.
Tropospheric Aerosol Radiative Forcing Observational eXperiment - Ames Sun Photometer - University of Washington C-131A aircraft
TARFOX_UWC131A_SUNP Data Set was collected from the 6-channel Sun Photometer flown on the University of Washington C-131A aircraft during the Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) mission. The TARFOX Intensive Field Campaign was conducted July 10-31, 1996. It included coordinated measurements from four satellites (GOES-8, NOAA-14, ERS-2, LANDSAT), four aircraft (ER-2, C-130, C-131A, and a modified Cessna), land sites, and ships. A variety of aerosol conditions was sampled, ranging from relatively clean behind frontal passages to moderately polluted with aerosol optical depths exceeding 0.5 at mid-visible wavelengths. Gradients of aerosol optical thickness were sampled to aid in isolating aerosol effects from other radiative effects and to more tightly constrain closure tests, including those of satellite retrievals. Early results from TARFOX include demonstration of the unexpected importance of carbonaceous compounds and water condensed on aerosol in the US mid-Atlantic haze plume, chemical apportionment of the aerosol optical depth, measurements of the downward component of aerosol radiative forcing, and agreement between forcing measurements and calculations.
Tropospheric Aerosol Radiative Forcing Observational eXperiment - University of Washington instrumented C-131A aircraft Data Set
TARFOX_UWC131A is the Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) - University of Washington instrumented C-131A aircraft data set. The TARFOX Intensive Field Campaign was conducted July 10-31, 1996. It included coordinated measurements from four satellites (GOES-8, NOAA-14, ERS-2, LANDSAT), four aircraft (ER-2, C-130, C-131A, and a modified Cessna), land sites, and ships. A variety of aerosol conditions was sampled, ranging from relatively clean behind frontal passages to moderately polluted with aerosol optical depths exceeding 0.5 at mid-visible wavelengths. Gradients of aerosol optical thickness were sampled to aid in isolating aerosol effects from other radiative effects and to more tightly constrain closure tests, including those of satellite retrievals. Early results from TARFOX include demonstration of the unexpected importance of carbonaceous compounds and water condensed on aerosol in the US mid-Atlantic haze plume, chemical apportionment of the aerosol optical depth, measurements of the downward component of aerosol radiative forcing, and agreement between forcing measurements and calculations.
Arctic Climate Response to European Radiative Forcing: A Deep Learning Study on Circulation Pattern Changes (control run daily dataset)
<p>30-year Control run with MPI-ESM1.2 coupled atmosphere-ocean–land surface model with preindustrial boundary and initial condition (for more information see the paper)<br> </p>
Arctic Climate Response to European Radiative Forcing: A Deep Learning Study on Circulation Pattern Changes (Experiment run daily dataset)
<p>0-year Experiment run with excerted negative radiative forcing over Europe with MPI-ESM1.2 coupled atmosphere-ocean–land surface model with preindustrial boundary and initial condition (for more information see the paper) </p>
Data from: The ozone radiative forcing of nitrogen oxide emissions from aviation can be estimated using a probabilistic approach.
<p>This dataset accompanies the journal article entitled "The ozone radiative forcing of nitrogen oxide emissions from aviation can be estimated using a probabilistic approach.", currently under review, and contains:</p> <p>1) The post-processed version of the original dataset that is available here [1]: https://data.4tu.nl/private_datasets/cLnjZscxOJDZnBSajrE0XxooMxJspT40byq4FVnq26A. </p> <p>The original dataset has been generated from several simulations performed with the ECHAM/MESSy Atmospheric Chemistry model (EMAC). The short-term impact on atmospheric ozone (O<sub>3</sub>) from aircraft nitrogen oxide (NO<sub>x</sub>) emissions is estimated for five regions (North America, Eurasia, South America, Africa and Australasia), three pressure altitudes (200, 250 and 300 hPa) and two seasons (July 1, 2014 representing the Northern summer and January 1, 2014 representing Northern winter) using three calculation methods: Eulerian tagging, Lagrangian tagging and perturbation. Each region has 28 points at which 0.5 Gg of NO are introduced in the form of a 15-min pulse emission. </p> <p>In our manuscript, we use the Lagrangian tagging dataset. We compute the global annual mean radiative forcing of O<sub>3 </sub>from NO<sub>x </sub>for each and every emission point, and plot them in Figure 1 (b). The mass curves of NO<sub>x </sub>and O<sub>3</sub> for two emission points are also plotted using the original data in Figure 1 (c). </p> <p>2) Meteorological data, fllight path data from EUROCONTROL, great circle data which are plotted in Figure 5 (b) of the manuscript. </p> <p>Please consult the README file for specific details regarding the data.</p>
Supporting data for ''Strong control of effective radiative forcing by the spatial pattern of absorbing aerosol"
<p>Supporting data for our Nature Climate Change study. We provide a subset of:</p> <p> - 2D, monthly fields</p> <p> - time-averaged 3D fields</p> <p> - a numpy/text file which is needed to identify the different aerosol plume experiments</p> <p> </p> <p>Please see the README for more information on the outputs, accessing specific plume experiments, and the data post-processing we conducted.</p>
Supplementary dataset to: Two Decades of Dust Radiative Forcing on Snow Cover Across the Great Salt Lake Basin (Lang et al. JGR-ES)
<p><strong><span>ForwardTrajASP.zip</span></strong></p> <p><span>This compressed file contains the output of forward trajectory model runs using the HYSPLIT-STILT modeling framework as described in the main manuscript. Each .csv file in the manuscript represents <span>an ensemble of forward trajectory simulations released at a specific time, latitude, and longitude as labeled in the file name. The columns with the output .csv files represent the following variables:<em> long</em> is the longitude, <em>lati</em> is the latitude, <em>zagl</em> is the trajectory above ground level, and <em>mlht</em> is the boundary height for that trajectory's respective horizontal location.</span></span></p> <p><strong><span>041823DepByElement.zip</span></strong></p> <p><span>The contents of this compressed file contain .tif images of CMAQ outputs for the model run on the April 18<sup>th</sup>, 2023, dust event. Deposition per area is given for hydrologic units over the state of Utah. The element and deposition type are given in the file names as well as within the files themselves.</span></p> <p><strong><span>AprMay2023TotalDep.zip </span></strong></p> <p><span>The contents of the compressed file contain three .tif images of CMAQ deposition outputs for combined wet and dry deposition of three major elements (Al, Si, Na) for all dust events in April and May of 2023 within the state of Utah. The outlines of the Bear, Weber, and Jordan basins are shown in black. </span></p>
Comparison of Radiative Transfer schemes for the calculation of aerosol radiative forcing in Mars' atmosphere 2.0
<p>Data-sets of figures (1 to 10) for the Comparison of radiative transfer schemes for the calculation of aerosol radiative forcing in the atmosphere of Mars. (Revision: 2)</p>
Double Push Acoustic Radiation Force (DP ARF) Ultrasound for Monitoring Degeneration in Duchenne Muscular Dystrophy
ClinicalTrials.gov study NCT01506518. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Acoustic Radiation Force Impulse (ARFI)Technology in Prediction of Liver Fibrosis
ClinicalTrials.gov study NCT01268865. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Non-invasive Diagnosis of Portal Hypertension With Acoustic Radiation Force Impulse (ARFI)
ClinicalTrials.gov study NCT01644656. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Increased Liver Stiffness: A Study of Acoustic Radiation Force Impulse (ARFI) Elastography
ClinicalTrials.gov study NCT03382119. IPD Sharing: NO. Countries: 1. Publications: 0.
Acoustic Radiation Force Impulse Imaging (ARFI) in Patients After Liver Transplantation
ClinicalTrials.gov study NCT01664780. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Liver Fibrosis Staging With Acoustic Radiation Force Impulse Elastography
ClinicalTrials.gov study NCT01283230. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Determination of Liver Stiffness in Chronic Liver Disease Patients by Acoustic Radiation Force Imaging (ARFI) Ultrasound
ClinicalTrials.gov study NCT02652221. IPD Sharing: NO. Countries: 0. Publications: 0.
Acoustic Radiation Force Impulse (ARFI) Ultrasound for Noninvasive, Diagnostic Atherosclerosis Imaging
ClinicalTrials.gov study NCT01581385. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.