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2,152 results for “outputs”
GEOS-Chem organic aerosol mass concentrations output data, Zenodo
<p>GEOS-Chem organic aerosol mass concentrations output data</p>
Structures, Scripts and Outputs for In Silico Modeling and Scoring of PROTAC-Mediated Ternary Complex Poses
<p>The input structures, run and analysis scripts, and output files for the PROTAC modeling work as reported in the paper.</p>
Representation of P cycle in Joint UK Land Environment Simulator - Outputs
<p>Representation of P cycle in Joint UK Land Environment Simulator - Model outputs </p>
Inputs and outputs for monolayers simulations in "Accurate Simulations of Lipid Monolayers Require a Water Model With Correct Surface Tension"
<p>Inputs and outputs file for simulations of POPC and DPPC Monolayers at 298K. For details see:</p>
Output from the Faulk, Bordoni, and Mitchell 2017 J. Atmos. Sci. idealized aquaplent simulations
<p>This directory contains the output from simulations in the idealized aquaplanet GCM that were originally reported in Faulk, Bordoni, and Mitchell 2017, J. Atmos Sci. The contents are as follows:</p> <p>```<br> ├── README.md (this file)<br> ├── faulk_seasonal_omega0p03125x.nc<br> ├── faulk_seasonal_omega0p0625x.nc<br> ├── faulk_seasonal_omega0p125x.nc<br> ├── faulk_seasonal_omega0p167x.nc<br> ├── faulk_seasonal_omega0p25x.nc<br> ├── faulk_seasonal_omega0p5x.nc<br> ├── faulk_seasonal_omega1x.nc<br> ├── faulk_seasonal_omega2x.nc<br> ├── faulk_seasonal_omega4x.nc<br> ├── faulk_solstice_omega0p03125x.nc<br> ├── faulk_solstice_omega0p125x.nc<br> └── faulk_solstice_omega1x.nc<br> ```</p> <p>where `omega*x` indicates the rotation rate multiplicative factor, with 1x being Earth's rotation rate. Files labeled `seasonal` have an annually repeating, present-day Earth-like annual cycle of insolation. Files labeled `solstice` have time-invariant northern solstice insolation.</p> <p>A full description of the simulation setups is available in Faulk et al 2017.</p> <p>Idealized GCM formulation: Frierson, Dargan M. W., Isaac M. Held, and Pablo Zurita-Gotor. “A Gray-Radiation Aquaplanet Moist GCM. Part I: Static Stability and Eddy Scale.” Journal of the Atmospheric Sciences 63, no. 10 (October 1, 2006): 2548–66. https://doi.org/10.1175/JAS3753.1.</p> <p>Simulations: Faulk, Sean, Jonathan Mitchell, and Simona Bordoni. “Effects of Rotation Rate and Seasonal Forcing on the ITCZ Extent in Planetary Atmospheres.” Journal of the Atmospheric Sciences 74, no. 3 (March 2017): 665–78. https://doi.org/10.1175/JAS-D-16-0014.1.</p>
CAM5_GOGA_output
<p>Model output</p>
FIG. 3 in The "Our Planet Reviewed" Mitaraka 2015 expedition: a full account of its research outputs after six years and recommendations for future surveys
FIG. 3. — Number of new insect species in the fauna of French Guiana, described since 2000: A, all insect orders; B, Coleoptera and Lepidoptera; C, other insect orders (including Diptera, Hymenoptera, Orthoptera), both displaying the proportion from the Mitaraka survey.
Output data for Vahmani et al 2021 AH part 1 of 5
<p>Output data for Vahmani et al 2021 AH part 1 of 5</p>
Output data for Vahmani et al 2021 AH part 4 of 5
<p>Output data for Vahmani et al 2021 AH part 4 of 5</p>
Output data for Vahmani et al 2021 AH part 5 of 5
<p>Output data for Vahmani et al 2021 AH part 5 of 5</p>
Output data for Vahmani et al 2021 AH part 3 of 5
<p>Output data for Vahmani et al 2021 AH part 3 of 5</p>
Output data and namelist - README file of "Evolution of squall line variability and error growth in an ensemble of LES'
<p>See README.txt</p>
England and Wales Counts of Residents with Long-term Health Problems of Disabilities (Lower Layer Super Output Areas)
<p>Counts of residents with long-term health problems or disabilities in each lower layer super output area (LSOA) in England and Wales.</p> <p>Original source: Nomis LC3101EWLS Long term health problem or disability by sex by age (<a href="https://www.nomisweb.co.uk/census/2011/lc3101ewls">https://www.nomisweb.co.uk/census/2011/lc3101ewls</a>)</p> <p>Distributed under Open Government License v3.0: <a href="https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/</a></p> <p> </p> <p><strong>Description from Nomis (source)</strong></p> <p>Long term health problem or disability by sex by age</p> <p>This dataset provides 2011 Census estimates that classify usual residents in households in England and Wales by long-term health problem or disability, by sex and by age. The estimates are as at census day, 27 March 2011.</p> <p>Statistical Disclosure Control</p> <p>In order to protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.<br> <br> More details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html">Statistical Disclosure Control</a> page on the ONS web site.</p> <p>Table ID</p> <p>LC3101EWLS</p> <p>Source</p> <p><a href="https://www.nomisweb.co.uk/census/2011">Census 2011</a></p> <p>Website</p> <p><a href="http://www.ons.gov.uk/census">http://www.ons.gov.uk/census</a></p>
Machine-learning convection model output file for use in convection pattern estimation.
<p>Output file from the model described in:</p> <p>Bristow, W. A., Topliff, C. A., & Cohen, M. B. (2022). Development of a high-latitude convection model by application of machine learning to SuperDARN observations. <em>Space Weather</em>, 20, e2021SW002920. <a href="https://doi.org/10.1029/2021SW002920">https://doi.org/10.1029/2021SW002920</a></p> <p>The file provides model convection patterns for the period 0000 UT to 2359 UT on 26 March 2014</p> <p> </p>
PhD materials and outputs
<p>All structural outputs in my PhD thesis</p>
Picturing global substorm dynamics in the magnetotail using low-altitude ELFIN measurements and data mining-based magnetic field reconstructions (SST19 Reconstruction Output Dataset for Review)
<p>The dataset containing SST19 reconstruction output data accompanying the GRL submission for "Picturing global substorm dynamics in the magnetotail using low-altitude ELFIN measurements and data mining-based magnetic field reconstructions"</p>
Seurat output files for testing
<p>Seurat output files for workflow testing, too big for Github</p>
Fig. 2 in Comparison of high resolution hydrodynamic model outputs with in-situ Argo profiles in the Ionian Sea Abstract
Fig. 2: A: Confidence level along depth for Argo-model average temperature profile differences in South Adriatic (blue) & Otranto Strait (green). B: Confidence level along depth for Argo-model average temperature profile differences in Northern (yellow) and Southern (red) Ionian. C: Confidence level along depth for Argo-model average salinity profile differences in South Adriatic (blue) & Otranto Strait (green). D: Confidence level along depth for Argo-model average salinity profile differences in Northern (yellow) and Southern (red) Ionian. E: Confidence level along depth for Argo-model average temperature (green) and salinity (brown) profile differences in the whole study area. The shaded rectangular denotes the area of statistical significant differences with a confidence of 95% between the Argo and model distributions (null-hypothesis rejected, p <0.05).
Output files for Degassing of Noble Gases from the Magma Ocean
<p>This upload includes output files for the paper Degassing of noble gases from the magma ocean.</p>
DALROMS-NWA12 v1.0, a coupled circulation-sea ice-biogeochemistry model for the northwest North Atlantic: output files (1 of 2)
<p>DALROMS-NWA12 v1.0 is a coupled circulation-sea ice-biogeochemistry modelling system based on ROMS, CICE, and MCT. The model domain covers the North Atlantic Ocean from ~81 deg W to ~39 deg W and ~33.5 deg N to 76 deg N. This record includes daily-mean output of all (ocean circulation, sea ice, and biogeochemistry) modules for September 2013, when the simulation was initialized. Similar files for January 2015 are available at <a href="https://doi.org/10.5281/zenodo.12746262" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12746262</a>.</p> <p>Model codes, scripts for compiling the model, and sample CPP header files and runtime parameter files (namelists) for physics-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752091" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752091</a>. CPP header and runtime parameter files for the biogeochemistry module are available upon request.</p> <p>Sample input files for physics-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752190" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752190</a>, <a href="https://doi.org/10.5281/zenodo.12734049" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12734049</a>, and <a href="https://doi.org/10.5281/zenodo.12735153" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12735153</a>. Input files for the biogeochemistry module are available upon request.</p>
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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)
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.