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105 results for “cmip6”

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zenodo24/100

MGB-SA hydrological projections (CMIP6)

<p>Climate change projections on floods obtained by forcing the hydrodinamic-hydrological model MGB-SA with CMIP6 climate projections.&nbsp;</p>

opencc-by-4.0Jun 2024View details →
zenodo20/100

Global Assessment of Agricultural Drought Characteristics Based on scPDSI under CMIP6 Projections

<p><strong><span><span><span>《CMIP6 预测下基于 scPDSI 的全球农业干旱特征评估</span></span></span></strong><span><span>》论文数据及代码&nbsp;</span><span>。</span></span></p>

opencc-by-4.0Jan 2024View details →
nasa20/100

High Mountain Asia CMIP6 Monthly and Yearly Water Balance Projections, 2016-2099 for Parts of Afghanistan, Tajikistan, Kyrgyzstan, and Pakistan V001

This High Mountain Asia (HMA) data set comprises a suite of monthly and yearly water balance model (WBM) projections for the years 2016 – 2099, covering parts of Afghanistan, Tajikistan, Kyrgyzstan, and Pakistan (primarily the headwaters of the Amu Darya and Indus River basins). Projections are available for 12 Coupled Model Intercomparison Project Phase 6 (CMIP6) global climate models and two Shared Socioeconomic Pathways (SSP 2-4.5 and SSP 5-8.5). The data were generated using the University of New Hampshire WBM. A historical run is also available for the years 1980 through 2018, using as input ERA5 reanalysis temperature data and ensemble precipitation estimates developed for High Mountain Asia.

restrictednotspecifiedMar 2025View details →
zenodo16/100

Data for publication "CMIP6 trends of oceanic variables (2015-2100)"

<p>These netCDF files are made available as part of the paper: G. Ibarra-Berastegui, J. S&aacute;enz, A. Ulazia, S. J. Gonz&aacute;lez-Roj&iacute; &amp; G. Esnaola (2024) "CMIP6 trends of oceanic variables (2015-2100)", submitted to Ocean Engineering. The dataset holds the trends of several variables needed to reproduce the results included in the manuscript.</p> <p>The files are named following the same structure:&nbsp; <em>${Variable}</em>_trend_<em>${SSP}</em>_<em>${Season}</em>perz.nc</p> <ul> <li>Variable: This dataset includes the trends (in % with respect to current-day values) of four variables for the period 2015-2100: wave energy flux (WEF), wind speed (U), mean wave period (mwp; Tm in the paper) and significant wave height (swh; Hs in the paper). *</li> <li>SSP: The analysis is performed for two Shared Socioeconomic Pathways (SSP): the lowest and highest GHG emission climate scenarios, SSP 1-2.6 and SSP 5-8.5 respectively.</li> <li>Season: The trend analysis is performed for the entire year (YE) or for each season: spring (SP), summer (SU), autumn (AU) or winter (WI). &nbsp;</li> </ul> <p>* Note that, as explained in the manuscript, the current-day oceanic values have been obtained from ERA5 global averages corresponding to the 1985-2014 period. The ERA5 data can be downloaded from the official website of the ECMWF.&nbsp;</p>

restrictedcc-by-4.0Jul 2024View details →
zenodo4/100

Cloud feedback components from CMIP6 AMIP model

<p>Cloud feedback components from CMIP6 AMIP model (2002-2014)</p>

restrictedJun 2023View details →

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Last verified 2026-04-30Open record

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.

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Last verified 2026-04-29Open record

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neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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