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510 results for “STORM”
Studying solar storm impact on global neutral wind pattern using WACCM-X numerical simulations and Meteor radar observations
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Extended Storm Track Files for the GridRad-Severe Dataset
<p>Extended versions of the storm track files available from the GridRad-Severe dataset (https://doi.org/10.5065/2B46-1A97). Files are grouped in .tar format for each year. Each storm track file is a copy of that included in the original archive, with select radar variables, storm mode classifications, and auxiliary information extracted along each storm's path and appended to the track file. The resulting data can be used to aid in objective supercell storm identification and other typing efforts. </p>
EMMA data during the SSC of May 10, 2024 Storm
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STORMS checklist
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The dynamics of tropical storm Mulan-induced destruction in 3D structure and dissipation in kinetic energy of an anticyclonic eddy in the northern South China Sea
<p>dataset for The dynamics of tropical storm Mulan-induced destruction in 3D structure and dissipation in kinetic energy of an anticyclonic eddy in the northern South China Sea</p>
Loss of branches due to winter storms could favor deciduousness in oaks
<p>Premise of the study. Ecologists have an incomplete understanding of the factors that select for deciduous, evergreen, and marcescent leaf habits. Evergreens have more opportunities for photosynthesis but may experience costs when abiotic conditions are unfavorable such as during ice and windstorms.</p> <p>Methods. We documented branch loss for species of oaks (<i>Quercus</i> spp) in a common garden in California during an unusual windstorm.</p> <p>Key Results. Branches of marcescent trees were more likely to break during the storm and this pattern had a negligible phylogenetic signature. Branches of evergreen and marcescent species were mostly alive prior to breaking, which likely accrued a fitness cost, while those of deciduous species were mostly already dead. One explanation for the overrepresentation of broken branches from marcescent species is that their petioles are inflexible and have greater wind loading compared to the flexible petioles of evergreen leaves and the leafless condition of deciduous branches.</p> <p>Conclusions. These results suggest that branch loss during unusual winter storms may be an important cost of a marcescent leaf habit.</p>
Multi-instrument analysis of spatio-temporal confinement of ionospheric responses over African-Asian regions during St. Patrick's Day storm of March 2015
<p>This data set is associated with a paper submitted to Space Weather Journal (AGU). The title of the paper is "Multi-instrument analysis of spatio-temporal confinement of ionospheric responses over African-Asian regions during St. Patrick's Day storm of March 2015" by Kader, Sk Samin, Dashora, N. and Niranjan, K., </p> <p>The data set consists of either *.dat or *.mat files arranged in separate folders for each figure. The data set can be used directly to plot the graphical results as presented in the above mentioned paper, upon final publication. </p> <p>The ZIP file includes all the folder mentioned above.</p> <p>This data set may be used for open access. </p> <p> </p>
Diurnal UT Variation of low Latitude Geomagnetic Storms Using six Indices
<p>The derived parameters of the geomagnetic storms in Kyoto Dst and USGS Dst</p>
Geomagnetic Induced Currents (GICs) estimations for Portugal mainland - Top 8 geomagnetic storms of solar cycle 24
<p>Geomagnetic Induced Currents, or GICs, are electric currents induced in conductive infrastructures (such as power lines and pipelines) due to changes in the Earth's magnetic field. GICs can cause power outages, damage transformers and other electrical equipment, and interfere with the operation of pipelines.</p> <p>We present here the GIC estimation for all the high voltage lines (150, 220 and 400 kV) over mainland Portugal for the eight most intense geomagnetic storms during solar cycle 24. The induced electric field is calculated from geomagnetic series obtained at Coimbra or San Fernando magnetic observatories, according to the Nearest Neighbour method and from 31 magnetotelluric soundings (https://doi.org/10.5281/zenodo.7147543).</p> <p>The GIC peak and standard deviation values for each substation are listed in the dataset. The criteria used for the definition of the geomagnetic storm duration in order to compute standard deviation values are based on the Ebre Observatory tables (https://www.obsebre.es/en/rapid) and the Hutchinson et al. (2011) criteria for the storm beginning and end, respectively.</p>
Efficient Probabilistic Prediction and Uncertainty Quantification of Tropical Cyclone-driven Storm Tides and Inundation: Model Data and Analysis Code
<p>This repository contains model data and analysis codes related to the manuscript entitled "Efficient Probabilistic Prediction and Uncertainty Quantification of Tropical Cyclone-driven Storm Tides and Inundation", as follows:</p> <ol> <li>Model data are maximum water surface elevations of ensemble 48-hr forecast ADCIRC model simulations for three historical US landfalling hurricanes: 2017 Irma, 2018 Florence, and 2020 Laura. These are located in the "NameYYYY_Results.tar" archive files as "maxele.63.nc" files. Also included in the tar files are the hurricane forecast track files in Automated Tropical Cyclone Forecasting (ATCF) system format (*.22) and the error variable parameters (*.json) for each forecast. </li> <li>Model data of best-track runs for the 2017 Irma, 2018 Florence, and 2020 Laura hurricanes, and astronomical tide-only runs for the corresponding time periods are located in the "NameYYYY_besttrack+tides.tar" archive files. Both the maximum water surface elevations "maxele.63.nc" and the time series of water surface elevations "fort.63.nc" are included. </li> <li>ADCIRC input mesh (*.14) and mesh property files (*.13) are included in "ADCIRC_mesh_files.zip".</li> <li>Joint Karhunen-Loeve Polynomial Chaos (KL-PC) analysis python scripts with and without considering inundation are located in "klpc_analysis_scripts.zip". Requires <a href="https://github.com/noaa-ocs-modeling/EnsemblePerturbation">EnsemblePerturbation</a> python toolbox. </li> <li>Python scripts for analyzing and plotting the KL-PC results (Figures 6-14 and Table 1 in the manuscript) are located in "results_plotting_scripts.zip". Requires <a href="https://github.com/noaa-ocs-modeling/EnsemblePerturbation">EnsemblePerturbation</a> python toolbox. </li> </ol>
Datasets for "Groundwater flooding on atolls caused by storm surges: effects of the dual-aquifer configuration"
<p>These datasets include the input files for HydroGeoSphere used in this study.</p>
E3SM output for evaluating the simulation of CONUS precipitation by storm type
<p>E3SMv1 output for evaluating the simulation of CONUS precipitation by storm type.</p>
Early Treatment of Cytokine Storm Syndrome in Covid-19
ClinicalTrials.gov study NCT04362111. IPD Sharing: YES. Countries: 1. Publications: 0.
Esmolol to Control Adrenergic Storm in Septic Shock- ROLL-IN 2
ClinicalTrials.gov study NCT03208257. IPD Sharing: YES. Countries: 1. Publications: 0.
Loss of branches due to winter storms could favor deciduousness in oaks
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GFS Storm Precipitation, 2019 and 2020 Storms
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Data from: The impact of weather and storm water management ponds on the transmission of West Nile virus
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Advancing Mars space weather forecasting: multi-point validation during a major solar storm
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Pink salmon distribution in Sweden: the calm before the storm?
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GFS Storm Precipitation and Trajectories, 2021
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ScienceDex guides
Understand access before you commit
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.