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2,152 results for “outputs”
Simulation outputs for WRF-Chem ENA study
<p>This dataset contants the WRF-Chem simulated outputs used in the WRF-Chem ENA study. Two experiments, control and perturbed, are included. </p>
Faraday Synthetic Data Outputs
<p>This dataset contains 10 million synthetic load profiles of trained on over 300M smart meter readings from 20K Octopus Energy UK households sampled between 2021 and 2022, and is conditioned on labels such as the:</p> <ol> <li> <p>Property types: house, flat, terraced, detached, semi-detached etc</p> </li> <li> <p>Energy performance certificate (EPC) rating: A/B/C, D/E, F/G etc</p> </li> <li> <p>Low Carbon Technology (LCT) ownership: heat pumps, electric vehicles, solar PVs etc</p> </li> <li> <p>Seasonality: days of the week and month of the year</p> </li> </ol> <p><strong> </strong></p> <p>For more information about Faraday, please refer to the <a href="https://www.climatechange.ai/papers/iclr2024/43">workshop paper</a> that Centre for Net Zero presented at ICLR 2024. For more information about OpenSynth, please visit our Github repository <a href="https://github.com/OpenSynth-energy/OpenSynth">https://github.com/OpenSynth-energy/OpenSynth</a>. For more news and updates on OpenSynth, please subscribe to our mailing list <a href="https://lists.lfenergy.org/g/opensynth-discussion">here</a>.</p>
Alevin notebook for Google Collab & backup Alevin output
<p>A Jupyter notebook containing the workflow presented in the GTN tutorial <a href="https://training.galaxyproject.org/training-material/topics/single-cell/tutorials/alevin-commandline/tutorial.html">Generating a single cell matrix using Alevin and combining datasets (bash + R)</a> that can be used in Google Collab. <br><br>Also, a folder of Alevin outputs resulting from running salmon alevin as shown in the tutorial.</p>
SPSS data file and output file for study "Relationship Between Big Five Personality Traits and Attitudes Towards Artificial Intelligence".
<p>The SPSS data file and output file for the study "Relationship Between Big Five Personality Traits and Attitudes Towards Artificial Intelligence".</p>
Europe SSP air quality PM2.5 (VD Scaled) O3 mortality output
Open the record for dataset details and reuse information.
FRACTESUS_KIT_SA508Cl3_MCT_T0TEM_output
<p>Fractesus project. Fracture test mini-CT. Master curve output SA508 Cl.3. KIT.</p>
Simulation output of the reference setup in "The comparative role of physical system processes in Hudson Strait ice stream cycling: a comprehensive model-based test of Heinrich event hypotheses"
<p>This supplementary material for "The comparative role of physical system processes in Hudson Strait ice stream cycling: a comprehensive model-based test of Heinrich event hypotheses" contains the simulation output of the 20 reference runs. Additional data is available upon request from the corresponding author.</p>
Sustainable Open Infrastructure Cost Recovery Workshop Outputs
<p>These files reflect unattributed participant feedback on sustainablity and cost-recovery mechanisms generated through in-person workshops held in conjunction with the 2023 Charleston Library Conference, the 2024 Researcher to Reader Conference, and the 2024 OPERAS Conference. Information provided through asynchronous web-form consultations with governance representatives and virtual focus group participants are also included. Files include a spreadsheet and print-friendly pdf version of results from each workshop and votes from governance and focus group participants. A pdf of prelimary results collated after the Charleston Library Conference and Research to Reader workshops is also included. </p> <p>This work was made possible by the Mellon Foundation through the "Advancing to Launch by Developing IDS Governance Building Blocks" grant. Christina Drummond and Ursula Rabar designed and facilitated the community consultation processes that surfaced this information.</p>
Lotus2 on Mycorrhizal Fungi in the Galaxy Training Network - Example Run Output
Open the record for dataset details and reuse information.
SPSS output supplementary dataset
Open the record for dataset details and reuse information.
Output and Validation for "Towards Change Impact Analysis..."
<p>Output data named "output-{system}.xlsx"</p> <p>Validation for "train-ticket" system named "validation-train-ticket.xlsx"</p>
Output and Validation for "Towards Change Impact Analysis..."
<p>All projects are separated by their name, included is the following</p> <ul> <li>A list of IR files for each commit</li> <li>A list of Delta files for each commit</li> <li>An output file for rule violations</li> <li>An output file for rule violation validation</li> </ul> <p> </p> <p>In the case of "train-ticket" an additional validation file with 25 manually identified rules is included</p>
MLuqe algorithm outputs for two unplanned hydroacoustic transects in Zóñar Lake nature reserve (southern Iberian Peninsula).
<p>The outputs generated by the MLuqe algorithm (Gutiérrez-Estrada and Pulido Calvo, 2024; DOI: 10.5281/zenodo.13919472) are organised in two Excel files, one for each hydroacoustic transect. Each file is structured as follows:<br>1. Each file contains a total of 15 sheets, with each sheet corresponding to a set of theoretical fish density (FDS).<br>2. Column A presents details of each simulation. Cell A3 indicates the minimum Hamming similarity between the real and simulated data. Cells A5 and A7 show the simulation configuration and repetition with the minimum Euclidean distance. Cell A11 displays the maximum target density.<br>3. Each cell represents the Euclidean distance between the actual densities observed in the echograms for each transect and the densities simulated by MLuqe.</p> <p>Further details of the MLuqe algorithm and the results obtained can be found in the paper entitled 'Abundance estimation of introduced Goldfish in a protected lake from unplanned hydroacoustic transects' by Gutiérrez-Estrada, J.C., Pulido-Calvo, I., de la Cruz, J., Sánchez-Polaina, F.</p>
Snow CCI and Landsat reanalysis outputs
<p>The Snow CCI and Landsat reanalysis dataset contains prior and posterior results of snow water equivalent (SWE) and fractional snow cover area (SCA). The data is stored in the netCDF format (*.nc files), which is a self-describing data format that can be loaded by many software packages. The data has a spatial resolution of 1 km. It starts from WY 2001 (Oct 1st, 2001) to WY 2019 (Sept. 30th, 2019). The output files store daily maps of SWE and SCA within a 1 degree x 1 degree tile for a given WY. The ensemble median, ensemble mean, standard deviation, and interquartile range of outputs are provided in the dataset.</p>
Model output for Chester et al. (2024): On the origin of Holocene sea-level transgressions in formerly glaciated regions
<p>Model output files and post-processing/plotting scripts for Chester et al. (2024, QSR). </p> <p>This repository contains:</p> <p>Files for reproducing figures:</p> <ol> <li> hingeline_tracker_zenodo.m. This code takes GIA model output and identifies the hinge line for a given transect following Chester et al. (2024) (e.g. Figures 4-6). </li> <li> transgression_magnitude_id_loop_zenodo.m. This code takes GIA model output and identifies and magnitude of a transgression and timing of the highstand for a given region (e.g. Figures 9, 10 and 12 in Chester et al., 2024). </li> </ol> <p>Zip files with GIA model output in .mat form:</p> <ol> <li>LN-SL_ICE7G_100km_plusBestFitting.zip: output from the LN-SL model with the ICE7G reconstruction, a 100 km lithosphere, and the mantle viscosities indicated in Table 1. The folder also includes the output from the two best-fitting simulations used to create Figures 9 and 10 in Chester et al. (2024). </li> <li>LN-NO_ICE7G_100km.zip: output from the LN-NO model with the ICE7G reconstruction, a 100 km lithosphere and the mantle viscosities indicated in Table 1. </li> <li>FN-NO_discload.zip: output from simulations with the FN-NO model. The model was run with the disc load ice sheet and the Earth structures indicated in Table 1. </li> </ol> <p>For GIA model runs with different parameter combinations please contact me at schester@ldeo.columbia.edu. </p> <p>Note on file labeling: 'rsl_ice7g.l60CC.ump1.lm10.mat' translates to, ice model: ICE7G, lithospheric thickness: 60 km, upper mantle viscosity: 0.1 * 10^21 Pa s, lower mantle viscosity: 10 * 10^21 Pa s. </p> <p> </p> <p> </p>
Pre-processed WRF output, interpolated from gridded data to 74 station locations, in the Midwest U.S.
<p>The dataset includes pre-processed WRF simulation data for the historical period of 1980 to 2022 and future projections from 2058 to 2100 under two climate change scenarios: RCP 4.5 and RCP 8.5. The data has been interpolated from gridded data to 74 station locations in the Midwest United States. Each file contains data for a single station and a single month with a 3-hourly time step. This dataset can be used to generate intensity-duration-frequency (IDF) curves using the procedure published at https://doi.org/10.5281/zenodo.13685451.</p>
Rendered HOTSSea model output for the pacea R package
<p>This files are for the pacea R package https://github.com/pbs-assess/pacea and are automatically downloaded to your local machine when running the function pacea::hotssea_all_variables() . See the hotssea vignette for details. </p> <p>The Hindcast of the Salish Sea (HOTSSea) is a physical ocean model that recreates conditions throughout the Salish Sea from 1980 to 2018, filling in the gaps in patchy measurements. See pacea for reference. </p>
FASTA or Tabular Feature Retriever galaxy workflow example output
<p>FASTA Feature Retriever and Tabular Feature Retriever are galaxy workflow that retrieves features(like genes) in fasta or tabular format using .bed and genome .fasta as input</p> <p>input data derived from:</p> <ol> <li><a href="https://solgenomics.net/" target="_blank" rel="noopener">solgenomics.net</a></li> <li><a title="mycocosm" href="https://mycocosm.jgi.doe.gov/Fusso1/Fusso1.home.html" target="_blank" rel="noopener">mycocosm</a></li> </ol>
APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r14)
<p>APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r14)</p>
APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r2)
<p>APECOSM outputs used in the Earth's Future "Past and Future of Marine Ecosystems" special issue (historical-r2)</p>
ScienceDex guides
Understand access before you commit
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.