3 datasets found
  1. d

    National Water Model Forecast Viewer App

    • search.dataone.org
    • hydroshare.org
    Updated Dec 5, 2021
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    Brigham Young University; michael souffront; Zhiyu (Drew) Li; Jim Nelson; Dan Ames (2021). National Water Model Forecast Viewer App [Dataset]. https://search.dataone.org/view/sha256%3A69688dcbd147b0ea620180802fb864a21a63a99d4adf5f80e8b33ded0ad5655e
    Explore at:
    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Brigham Young University; michael souffront; Zhiyu (Drew) Li; Jim Nelson; Dan Ames
    Description

    The NWM Viewer app has 2 main features provided in Home Mode and Subset Mode respectively: Home Mode: Retrieve and View NWM Time Series for a single stream reach, reservoir or grid cell. Subset Mode: Subset NWM outputs (NetCDF files) with a watershed polygon to get 'shrunken' NetCDFs that only contain data for a specific area.

  2. ACE2-ERA5-sample-output

    • huggingface.co
    Updated Nov 29, 2025
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    Ai2 (2025). ACE2-ERA5-sample-output [Dataset]. https://huggingface.co/datasets/allenai/ACE2-ERA5-sample-output
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 29, 2025
    Dataset provided by
    Allen Institute for AIhttp://allenai.org/
    Authors
    Ai2
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    ACE2-ERA5 Sample Output

    Full spatial and temporal variables output from a 2-year inference using the ACE2-ERA5 checkpoint initialized on 2001-01-01T00:00:00. The outputs have been written out as 20 segments to avoid large file sizes. The 2-year inference with 6-hourly has 2920 timesteps, so each segment has 146 timesteps. Each segment_00** folder contains a netCDF file (autoregressive_predictions.nc) containing all output variables for that segment.

  3. Air-LUSI - Lunar Spectral Irradiance Data Repository: 2022 Data

    • catalog.data.gov
    • data.nist.gov
    • +1more
    Updated Jul 9, 2025
    + more versions
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    National Institute of Standards and Technology (2025). Air-LUSI - Lunar Spectral Irradiance Data Repository: 2022 Data [Dataset]. https://catalog.data.gov/dataset/air-lusi-lunar-spectral-irradiance-data-repository-2022-data
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    Dataset updated
    Jul 9, 2025
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    In March 2022, the Air-LUSI instrument measured the lunar spectral irradiance on four nights from NASA's high-altitude ER-2 aircraft.The data set includes data from:1) characterization and calibration of the Air-LUSI instrument and the transfer standards used to calibrate the instrument in NetCDF format,2) the geolocated lunar irradiance data acquired by the instrument in NetCDF format, and3) usage examples hosted at https://github.com/usnistgov/air-lusi along with copies of the above.If you prefer not to follow the Python workflow given at the GitHub site, a variety of tools for viewing and manipulating NetCDF files are linked to here: https://www.unidata.ucar.edu/software/netcdf/software.html

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Click to copy link
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Cite
Brigham Young University; michael souffront; Zhiyu (Drew) Li; Jim Nelson; Dan Ames (2021). National Water Model Forecast Viewer App [Dataset]. https://search.dataone.org/view/sha256%3A69688dcbd147b0ea620180802fb864a21a63a99d4adf5f80e8b33ded0ad5655e

National Water Model Forecast Viewer App

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 5, 2021
Dataset provided by
Hydroshare
Authors
Brigham Young University; michael souffront; Zhiyu (Drew) Li; Jim Nelson; Dan Ames
Description

The NWM Viewer app has 2 main features provided in Home Mode and Subset Mode respectively: Home Mode: Retrieve and View NWM Time Series for a single stream reach, reservoir or grid cell. Subset Mode: Subset NWM outputs (NetCDF files) with a watershed polygon to get 'shrunken' NetCDFs that only contain data for a specific area.

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