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60 results for “CESM”
Supporting CESM output for "The effect of plant physiological responses to rising CO2 on global streamflow" (Fowler et al.; 2019)
<p>Thirty years of CESM soil moisture, rain, and snow data is collected here based on each experiment contained within Fowler et al. (2019). These data were used to produce Figure 3 of that work. Other supporting data including daily runoff and river discharge is archived elsewhere, while analysis scripts and more information can be found here: https://github.com/megandevlan/Physiology-Streamflow.git. </p>
Climate Reanalyses Data from CESM-MSHea-CDA and CM2-MSHea-CDA systems
<p>We apply an identical coupled data assimilation algorithm and effective model error relaxing scheme to two widely-used IPCC coupled models, CESM and CM2, to establish two coupled data assimilation (CDA) systems. Then we use both CDA systems to assimilate historical atmospheric and oceanic observations to form two sets of climate reanalyses for the past four decades. Manuscript is written to report our efforts on convergent Climate Reanalysis, which is prepared to sumitted to <em>Journal of Climate. </em>Here we upload the mainly data of our reanalysis experiments.</p>
CESM transient simulation data from 8 ka to 0 ka.
<p>CESM transient simulation data from 8 ka to 0 ka.</p>
Added Value of Contrast Enhanced Spectral Mammography, CESM. A Pilot Study.
ClinicalTrials.gov study NCT03402529. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
CESM coupled simulation dataset with new (Mod_cp) and original (F09) dynamical coupling scheme from atmosphere, ocean and ice.
<p>1. Coupled models simulate air-sea interaction by coupling components models together. However, in state-of-the-art models such as CESM, the atmospheric model contains dynamic core and physic parameterization that are not differentiated during air-sea interaction. The dynamics-physics (D-P) coupling in CAM causes the prognostic winds of the dynamic core be interpolated onto non-staggered locations. We propose a new dynamical coupling scheme (denoted as Mod_cp) that eliminates the extra interpolation during D-P coupling for the atmosphere-ocean interaction, reducing the numerical diffusion during the dynamics-physics coupling for air-sea interactions.</p> <p>2. Using new and original dynamical coupling scheme, two coupled simulations (100 years) were conducted. Climatology of atmosphere (cam), ocean (ocn) and sea ice (ice) model simulations are archived here (last 50 years). The resolution is around 1 latitude x 1 longitude.</p> <p>3. B1850_mod_cp denotes the simulation with new dynamical coupling scheme, B1850_f09_g16 denotes the simulation with original scheme.</p>
A large ensemble of spatially and annually averaged CESM CAM 100-year data
This repository contains data from an ensemble of 100-year runs on the Cheyenne computer at NCAR. The purpose of this data set is to allow an investigation of how different variables are affected by software and hardware modifications at different time scales. The data was produced by a CESM 1.3 series tag using the CAM5 model version described in Kay et al. (2015). The simulations are CESM startup runs using a present-day F compset (active atmosphere and land, data ocean, and prescribed ice concentration), CAM5 physics at approximately 1 degree latitude/longitude resolution, and the spectral element dynamical core. The output contains CAM data from 147 simulations each with a 100-year time series (100 time points) of 134 variables. Of the 147 runs, 139 are control runs that differ only by an order double precision perturbation to the initial temperature, where 114 were from an Intel compilation and 25 from a GNU compilation. The remaining 8 runs are so-called test runs, each with a single modification (e.g., single parameter, compiler, minor code change) changed relative to the control runs. The simulations originally output monthly data. The modestly sized dataset released here is a result of annually averaging the monthly files, and then spatially averaging the annual averages over the grid. Each of the 147 NetCDF files corresponding to a single simulation contains the variable names and a matrix of 100 years of annual averages for each variable.
CESM ISMIP6 Forcing Data
<div> <p>The Community Earth System Model (CESM) version 2.1 is a world-class coupled climate system model that includes components for the atmosphere, ocean, terrestrial system, river run-off, and fully active glaciers (Danabasoglu et al. 2020). This version of CESM was used in many experiments as part of the Coupled Model Intercomparison Project 6 (CMIP6, Eyring et al. (2016)) including the Ice Sheet Model Inter-comparison Project 6 (ISMIP6).</p> <p>These data come from historical simulations (1950–2014) and future projections (2015–2100) using the fully-coupled earth system model, including an active ice sheet model (the Community Ice Sheet Model, or CISM, Lipscomb et al. (2019)) with feedbacks to the atmosphere, land, and oceans. We have provided data from these two transient experiments to the community through Ghub for analysis and to force uncoupled ice sheet models.</p> <p><u><strong>Downloading the Data</strong></u></p> <p><strong><a href="https://theghub.org/resources?id=4761">The data can be downloaded from the GHub.</a> Please log in and click on the Download tab to receive the Download instructions.</strong>For more information on how to obtain data from GHub visit <a href="https://theghub.org/accessing-data-with-globus" target="_blank" rel="noopener">Accessing Data</a> web page. There is also a tool available to <a href="https://theghub.org/resources?alias=ncarismipplots" target="_blank" rel="noopener">visualize these data here on Ghub</a>.</p> </div> <h4>Sponsoredby</h4> <div>The CESM project is supported primarily by the National Science Foundation (NSF). This material is based upon study supported by the National Center for Atmospheric Research, which is a major facility sponsored by the NSF under Cooperative Agreement no. 1852977.</div> <h4>References</h4> <div> <p>Danabasoglu, G., Lamarque, J.-F., Bacmeister, J., Bailey, D. A., DuVivier, A. K., Edwards, J., et al. (2020). The Community Earth System Model Version 2 (CESM2). Journal of Advances in Modeling Earth Systems, 12, e2019MS001916. https://doi.org/10.1029/2019MS001916</p> <p>Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E. (2016). Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, doi:10.5194/gmd-9-1937-2016.</p> <p>Lipscomb, W. H., Price, S. F., Hoffman, M. J., Leguy, G. R., Bennett, A. R., Bradley, S. L., Evans, K. J., Fyke, J. G., Kennedy, J. H., Perego, M., Ranken, D. M., Sacks, W. J., Salinger, A. G., Vargo, L. J., and Worley, P. H. (2019). Description and evaluation of the Community Ice Sheet Model (CISM) v2.1, Geosci. Model Dev., 12, 387–424, https://doi.org/10.5194/gmd-12-387-2019.</p> </div> <h4>Publications</h4> <div>Muntjewerf, L., Sacks, W. J., Lofverstrom, M., Fyke, J., Lipscomb, W. H., Ernani da Silva, C., etal. (2021). Description and demonstration of the coupled Community Earth System Model v2 – Community Ice Sheet Model v2 (CESM2-CISM2). Journal of Advances in Modeling Earth Systems, 13, e2020MS002356. https://doi.org/10.1029/2020MS002356</div> <h4> </h4>
CE-MRI&CESM in Solid Breast Lesions
ClinicalTrials.gov study NCT04832191. IPD Sharing: Not stated. Countries: 0. Publications: 2.
Inputdata for VR_CESM 2.2.beta01.ver3 (ne0np4uoslo30x16)
<p>Input data needed for the variable resolution CESM</p> <p>From ne30np4 (global mesh) to x16 refinment</p> <p>Compset longname is HIST_CAM60_CLM50%BGC_CICE%PRES_DOCN%DOM_MOSART_CISM2%NOEVOLVE_SWAV</p>
CESM_coupled experiment with different ENSO types forcing
<p>The four CESM numerical experiments are 1.the control run(abbreviated as control), 2.the slow decaying El Nino run(SEP), 3.the fast decaying El Nino run (SEP), 4.the enhanced fast decaying El Nino run (SEPehc). The model outputs include both atmosphere and ocean components (atm and ocn for short). Each output data is written in binary format (.bin/.dat) with a header file (.ctl). The<br> file is named as "experiment type"_"model component"_"variable"."format".</p>
Contrast-Enhanced Spectral Mammography (CESM)
ClinicalTrials.gov study NCT06311695. IPD Sharing: NO. Countries: 1. Publications: 0.
Comparison of Breast Cancer Screening With CESM to DBT in Women With Dense Breasts
ClinicalTrials.gov study NCT05625659. IPD Sharing: Not stated. Countries: 2. Publications: 0.
CESM ABMR Breast Cancer Screening Trial
ClinicalTrials.gov study NCT03517813. IPD Sharing: NO. Countries: 1. Publications: 0.
Contrast Enhanced Spectral Mammography (CESM) Study
ClinicalTrials.gov study NCT02479100. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Use of Contrast Enhanced Spectral Mammography (CESM) for Women With Palpable Breast Abnormalities
ClinicalTrials.gov study NCT02406274. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Contrast-enhanced Spectral Mammography (CESM) Breast Cancer Screening
ClinicalTrials.gov study NCT04904757. IPD Sharing: NO. Countries: 1. Publications: 0.
Reduced Contrast Administration in Contrast-enhanced Spectral Mammography (CESM)
ClinicalTrials.gov study NCT03008031. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Can Contrast Enhanced Spectral Mammography (CESM) Reduce the Number of Benign Biopsies for Calcifications Without Negatively Impacting on Detection/Diagnosis of Clinically Significant Calcifications
ClinicalTrials.gov study NCT03857152. IPD Sharing: NO. Countries: 1. Publications: 0.
Contrast-enhanced Spectral Mammography (CESM) Early Quantitative Evaluation of Tumoral Response and Pathologic Complete Response Prediction for Localized Breast Cancer Treated by Neoadjuvant Chemother
ClinicalTrials.gov study NCT06299202. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of Contrast-enhanced Spectral Mammography (CESM) to MRI in Screening High Risk Women for Breast Cancer
ClinicalTrials.gov study NCT02275871. 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
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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.