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256 results for “Cyclone”
Nitrogen fixation rates in a cyclone-anticyclone eddy pair in the North Pacific Subtropical Gyre (Cruise KOK1607)
<p>Surface N<sub>2</sub> fixation rates were measured in the center of a cyclonic eddy (23.74°N, 157.39°W), an anticyclonic eddy (22.94°N, 155.95°W), and an additional station between the two eddies (23.44°N, 156.78°W) during May 2016. Seawater was collected from 25 m and sampled into 4.4 L bottles, spiked with <sup>15</sup>N<sub>2</sub>-enriched seawater, and incubated in surface-seawater cooled, flow-through, deck-board incubators fitted with screening to reproduce in situ light conditions. These incubations were conducted during the day (10 h incubation, 08:00-18:00 local time) and at night (6 h incubation, 22:00-04:00 local time), using seawater from separate CTD casts prior to each incubation. Times provided are the average time of each incubation. Details on <sup>15</sup>N<sub>2</sub>-enriched seawater preparation and other methodological details for the rate measurements are provided in Böttjer et al. (2017, <em>Limnology and Oceanography</em>, doi: 10.1002/lno.10386).</p> <p>Additional physical and biogeochemical data collected on cruise KOK1607 are available online: http://scope.soest.hawaii.edu/data/hoelegacy/data/</p>
Statistics of the Subgrid Cloud of an Idealized Tropical Cyclone at Convection-Permitting Resolution
<p>Data and analysis scripts for figures of Journal article (Statistics of the Subgrid Cloud of an Idealized Tropical Cyclone at Convection-Permitting Resolution)</p>
Tropical Cyclone Evaluation Methodology Dataset
<p>This dataset includes Automated Tropical Cyclone Forecast (ATCF) format ASCII files. These data are a subset of files from the Hurricane Forecast Improvement project (HFIP) Stream 1.5 evaluation covering three years of retrospective forecasts from 2010-2012. The best track analysis (b-decks), operational baselines (a-deck), and experimental Stream1.5 model output included can be used as example data to perform tropical cyclone model forecast evaluations, following Brown et al, 2023: User-responsive diagnostic verification methods for evaluating tropical cyclone track and intensity forecasts.</p>
Azimuthally averaged tangential wind and radial wind for 3D WRF tropical cyclone simulations
<p>MAT-file </p> <p>setup number 1 to 9: V20B0.75R75, V20B0.75R100, V20B0.75R125; V20B1.0R75, V20B1.0R100, V20B1.0R125; V30B0.75R75, V30B0.75R100, V30B0.75R125</p> <p>time: hourly output</p> <p>iradius: radial grids, radius=(iradius-1)*2 km</p> <p>Vt(setup, time, iradius): tangential wind calculated from 10-m wind</p> <p>Vr(setup, time, iradius): radial wind calculated from 10-m wind</p> <p>M(setup, time, iradius): absolute angular momentum calculated using M=Vt*r+1/2*f*r^2</p> <p>nt(setup): maximum time step, 1 h interval</p> <p>nr(setup): maximum grid for radius, starting from center (0km) with 2 km interval</p> <p>Vmax(setup, time): maximum 10-m tangential wind</p> <p>RMW(setup, time): radius of maximum 10-m tangential wind</p> <p>MRMW(setup, time): absolute angular momentum at RMW</p> <p>SL(setup, time): M*(r*) slope calculated using best linear fit</p> <p>RIstart(setup): RI onset time</p> <p>RIend(setup): RI end time</p>
Precipitation Microphysics in Tropical Cyclones: A Global Perspective Using the NASA Global Precipitation Measurement Mission Dual-Frequency Precipitation Radar
<p>This dataset includes all files (in .npy format) that was used to plot distributions of the slopes of vertical profiles of reflectivity in the liquid phase, in the ice phase, and echo top heights using the NASA Global Precipitation Measurement mission Dual-Frequency Precipitation Radar. </p>
Cyclone_ESS
<p>datasets for the paper "Effects of solar variability on tropical cyclone activity" submitted to Earth and Space science.</p>
Data Used for the Publication "Use of Threshold Parameter Variation for Tropical Cyclone Tracking"
<p>Data used to produce the figures in "Use of Threshold Parameter Variation for Tropical Cyclone Tracking," as submitted to GMD.</p>
Assessing the improvement of Tropical Cyclone representation in the IPSL model with increasing resolution -- Data
<p>This folder contains the following data, used in the artcle "Assessing the improvement of Tropical Cyclone representation in the IPSL model with increasing resolution":</p> <p>* TC tracks in all the simulations, before and after the STJ filtering</p> <p>* Composite NetCDFs</p> <p>* Large scale variables used in the GPI, and the GPI itself, in ICO-VHR and ERA5</p>
Data from "Connecting large-scale meteorological patterns to extratropical cyclones in CMIP6 climate models using self-organizing maps"
<p>The following files were used as data and analysis in the article "Connecting large-scale meteorological patterns to extratropical cyclones in CMIP6 climate models using self-organizing maps" (<a href="https://doi.org/10.1029/2022EF003211">https://doi.org/10.1029/2022EF003211</a>). In the study, we applied self-organizing maps (SOMs) as an automated machine-learning approach to characterize the large-scale meteorological patterns (LSMP) and associated frequency and intensity of discrete extratropical cyclone (ETC) events over the northeastern U.S. The dominant patterns of geopotential height variability are identified through SOM analysis of five reanalysis products during 1980 - 2019. ETC events are tracked using TempestExtremes and are integrated with SOMs to classify the accumulated cyclone activity associated with each pattern. We then evaluate the skill of CMIP6 historical experiments in simulating the LSMP and ETC events identified in the SOM. Please see the published paper for more details. Here we have archived: </p> <p>- data pre-processing scripts</p> <p>- code to run the self-organizing map analysis</p> <p>- code to calculate the SOM and ETC statistics</p> <p>- composites of 500-hPa geopotential height for each dataset as organized by the SOM</p> <p>- ETC tracking script and tracking output for each dataset</p> <p>- SOM output for each dataset </p>
Economic impacts of tropical cyclone-induced multiple hazards in China
<p>The data and codes will be deposited in a repository that is appropriate for my scientific domain and that it is interoperable and reusable.</p>
Collection of The tropical cyclones best-track data (CMABSTdata) and the daily surface climatological stations dataset for China (V3.0) from CMA
<p>This dataset contains the tropical cyclones best-track data from the China Meteorological Administration (CMABSTdata)<strong>[1] </strong>and the daily surface climatological stations dataset for China (V3.0)<strong>[2] </strong>from 1979-2019 from China Meteorological Administration.</p> <p>[1] Y<span>ing, M., Zhang, W., Yu, H., Lu, X., Feng, J., Fan, Y., . . . Chen, D. (2014). An overview of the China Meteorological Administration tropical cyclone database. <em>Journal of Atmospheric and Oceanic Technology, 31</em>(2), 287-301. </span></p> <p>[2]<span>(CMA, http://data.cma.cn)</span></p>
Data for "Using Convolutional Neural Network to Emulate Seasonal Tropical Cyclone Activity"
<p>The trained 600-member ensemble convolutional neural networks (CNNs) for seasonal tropical cyclone (TC) activity to allow future studies. Please refer Fu et al. (2023; <em>Using Convolutional Neural Network to Emulate Seasonal Tropical Cyclone Activity</em>) for more details.</p>
CYCLONES - CYClophosphamide LOw Dose and No Extra Steroid
ClinicalTrials.gov study NCT03492255. IPD Sharing: NO. Countries: 1. Publications: 16.
Data from: Impacts and recovery from Severe Tropical Cyclone Yasi on the Great Barrier Reef
Open the record for dataset details and reuse information.
Data from: Globally consistent impact of tropical cyclones on the structure of tropical and subtropical forests
Open the record for dataset details and reuse information.
Digitized flood location dataset during cyclone Amphan from newspaper survey
<p>A dataset of inundation location, digitized and geotagged from newspaper reports during cyclone Amphan over Bengal delta.</p> <p>Description of columns:</p> <p>1. District: Location name at 2nd administrative level</p> <p>2. Upazila: Location name at 3rd administrative level</p> <p>3. Location: Location name</p> <p>4. Lon: Longitude</p> <p>5. Lat: Latitude</p> <p>6. Type: Type of flood - Flood or Inundation</p> <p>7. Mechanism: Type of flood/inundation mechanism. Breach (Embankment breaching), Hightide (Unembanked low-land), Overtopping (Embankment overflow)</p> <p>8. Source: Source newspaper name.</p> <p>9. Date: Corresponding date of the publishing of the news.</p> <p> </p> <p><strong>Acknowledgement:</strong></p> <p>CNES (through the TOSCA project BANDINO) and Embassy of France in Bangladesh for financial support. Also support from French research agency (Agence Nationale de la Recherche; ANR) under the DELTA project (ANR-17-CE03-0001).</p>
Data for: Geography, taxonomy, extinction risk, and exposure of fully migratory birds to droughts and cyclones
<p class="MsoNormal"><strong>Aim</strong>: Anthropogenic climate change is predicted to drive unprecedented increases in the frequency and intensity of extreme climatic events, such as drought and cyclones. The impacts of these events on fully migratory species could be particularly severe and have cascading effects on the functioning of many ecosystems. We explore the relationships between geography, taxonomy, extinction risk, and the exposure of fully migratory birds to drought and cyclones.</p> <p class="MsoNormal"><strong>Location:</strong> Global.</p> <p class="MsoNormal"><strong>Time period:</strong> 1985-2014.</p> <p class="MsoNormal"><strong>Major taxa studied:</strong> 383 fully migratory bird species.</p> <p class="MsoNormal"><strong>Methods:</strong> We assessed exposure of fully migratory birds to cyclones and droughts, quantifying exposure by calculating the percentage of spatial overlap between a species' range and the extent of an extreme event within a given time series. We compared the level of cumulative exposure sustained by species among different taxonomic groups and within their breeding and wintering ranges; we also assessed whether species currently classed as 'threatened' are more cumulatively exposed than 'non-threatened' species.</p> <p class="MsoNormal"><strong>Results</strong>: We identified fully migratory bird species highly exposed to extreme climatic events and global geographic hotspots of species exposure. 4% of species were found to be highly exposed to cyclones and droughts in both their wintering and breeding ranges. Wintering ranges were, on average, more cumulatively exposed to cyclones than breeding ranges; there was no discernible difference in drought exposure between ranges. Species currently classed as threatened were shown to experience higher exposure to droughts than non-threatened ones in both ranges.</p> <p class="MsoNormal"><strong>Main conclusions:</strong> This exposure analysis provides the first step to a full global assessment of fully migratory bird species' vulnerability to extreme climatic events. Many species are at least as exposed to extreme events within their wintering ranges as in their breeding ranges, supporting calls for 'full cycle' assessment of migratory species' vulnerability to climate change. Our identification of hotspots of exposure may help to guide further monitoring, research, and management.</p>
Moat Areas Tend to Form in Tropical Cyclones with Broader Wind Fields
<p>azimuthal-mean data for CNTL and SMALL</p>
Global eddy-induced variation in the intensities of tropical cyclones
Open the record for dataset details and reuse information.
Datasets for Analyzing Tropical Cyclone Impacts on Hydrological Extremes in the Mid-Atlantic Region
<p>The data sets provided here were used for the climatological analysis of tropical cyclone impacts on hydrological extremes in the Mid-Atlantic region of the United States. This research was published in <em><strong>Environmental Research Letters</strong></em> <a href="http://doi.org/10.1088/1748-9326/ac2d6a">https://doi.org/10.1088/1748-9326/ac2d6a</a>.</p> <p>The data sets include:</p> <ul> <li><strong>hurdat_data/</strong> <ul> <li><strong>hurdat2-1950-2019_rev.txt:</strong> 6-hourly entires of hurricane tracks for all events occurring in the Atlantic region. The first column HURID matches the first column in the hurdat2-1950-2019_seq.txt</li> <li><strong>hurdat2-1950-2019_seq.txt</strong>: <ul> <li>1st column: HURID</li> <li>2nd column: event ID. For example, AL092011 means: AL (Spaces 1 and 2) – Basin – Atlantic; 09 (Spaces 3 and 4) – ATCF cyclone number for that year; 2011 (Spaces 5-8, before the first comma) – Year; </li> <li>3r column: event Name, if available, or else “UNNAMED” </li> <li>4th column: number of best track entries</li> </ul> </li> </ul> </li> <li><strong>usgs_gage/</strong> <ul> <li><strong>Content:</strong> daily streamflow records from USGS gages over 10/01/1950-9/30/2019</li> <li><strong>Format</strong>: <ul> <li>1st column: timestamp</li> <li>2nd column: daily mean flow (in cfs)</li> </ul> </li> </ul> </li> <li><strong>usgs_gage_list</strong> <ul> <li><strong>Content</strong>: Summary of USGS gages used in the analysis</li> </ul> </li> <li><strong>livneh_ppt.mat</strong> <ul> <li><strong>Content</strong>: Summary of precipitation data used in the analysis in Matlab structure array. The array includes statistics derived from precipitation records for 2857 grid cells (1/16 degree resolution) covering the Mid-Atlantic region. </li> </ul> </li> </ul>
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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)
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DANDI Archive for NWB datasets
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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.