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6 results for “return period”
Dataset on Modelling Rainfall Return Periods and Intensity: Survival Analysis Approach
<p>This dataset consist Twenty years’ of annual rainfall data, obtained from three metrological stations. These annual rainfal were subjected to nine different probability plotting position methods, which are California, Weibull, Hazen, Adamowski, Blom, Chegodagev, Gringoten, Hirsh, and Laplace methods. The respective months and years of the rainfall was recorded. The months are recoded into halves of the year, 1 represent months in first half and 2 represents months in second year. </p>
Determinants of corporate shares market value dynamics during periods of decline and return to the original values of shares market
<p>Determinants of corporate shares market value dynamics during periods of decline and return to the original values of shares market</p>
The determinants of short-term dynamics of corporate shares market value during periods of decline and return to the original values of shares market
<p>The determinants of short-term dynamics of corporate shares market value during periods of decline and return to the original values of shares market</p>
Determinants of short-term dynamics of corporate shares market value during periods of decline and return to the original values of shares market
<p>The determinants of short-term dynamics of corporate shares market value during periods of decline and return to the original values of shares market</p>
STORM tropical cyclone wind speed return periods as global GeoTIFFs
<p>Global tropical cyclone wind speed return period maps.</p> <p>This dataset is derived with minimal processing from the following datasets created by Bloemendaal et al, which are released with a CC0 license:</p> <p>[1] Bloemendaal, Nadia; de Moel, H. (Hans); Muis, S; Haigh, I.D. (Ivan); Aerts, J.C.J.H. (Jeroen) (2023): STORM tropical cyclone wind speed return periods. Version 4. 4TU.ResearchData. Dataset. <a href="https://doi.org/10.4121/12705164.v4">https://doi.org/10.4121/12705164.v4</a></p> <p>[2] Bloemendaal, Nadia; de Moel, Hans; Dullaart, Job; Haarsma, R.J. (Reindert); Haigh, I.D. (Ivan) et. al. (2023): STORM climate change tropical cyclone wind speed return periods. Version 4. 4TU.ResearchData. Dataset. <a href="https://doi.org/10.4121/14510817.v4">https://doi.org/10.4121/14510817.v4</a></p> <p>Datasets containing tropical cyclone maximum wind speed (in m/s) return periods, generated using the STORM datasets (see <a href="https://www.nature.com/articles/s41597-020-0381-2">https://www.nature.com/articles/s41597-020-0381-2</a>) and STORM climate change datasets (see <a href="https://figshare.com/s/397aff8631a7da2843fc">https://figshare.com/s/397aff8631a7da2843fc</a>). Return periods were empirically calculated using Weibull's plotting formula. The STORM_FIXED_RETURN_PERIOD dataset contains maximum wind speeds for a fixed set of return periods at 10 km resolution in every basin and for every climate model used here (see below).</p> <p>The GeoTIFFs provided in the datasets linked above have been mosaicked into single files with global extent for each climate model/return period using the following code: </p> <p><a href="https://github.com/nismod/open-gira/blob/88dc522dd267020b16927e1b51ba46c4df4da277/workflow/tropical-cyclone/STORM.smk">https://github.com/nismod/open-gira/blob/88dc522dd267020b16927e1b51ba46c4df4da277/workflow/tropical-cyclone/STORM.smk</a></p> <p>Files are named on the pattern: <code>STORM_FIXED_RETURN_PERIODS_{STORM_MODEL}_{STORM_RP}_YR_RP.tif</code></p> <p>STORM_MODEL is be one of constant, CMCC-CM2-VHR4, CNRM-CM6-1-HR, EC-Earth3P-HR or HadGEM3-GC31-HM. The "constant" files are for the present day, baseline climate scenario as explained in dataset [1]. The other files are for 2050, RCP8.5 under different models as explained in the paper linked from dataset [2].</p> <p>STORM_RP is one of 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000 or 10000.</p> <h3>Updates</h3> <p>2024-04-05: recreated GeoTIFFs to align precisely with source pixels, updated references to v4, uploaded GeoTIFFs within ZIP to meet Zenodo file limits.</p>
Study to Assess the Impact of Personalized Coaching on the Time Period and Quality of Return to Work After Breast Cancer
ClinicalTrials.gov study NCT04469205. IPD Sharing: YES. Countries: 1. Publications: 0.
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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.