1 dataset found
  1. Z

    MASCDB, a database of images, descriptors and microphysical properties of...

    • data.niaid.nih.gov
    • springerprofessional.de
    • +2more
    Updated Jul 5, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Grazioli, Jacopo; Ghiggi, Gionata; Berne, Alexis (2023). MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_5578920
    Explore at:
    Dataset updated
    Jul 5, 2023
    Dataset provided by
    EPFL-ENAC-IIE-LTE
    Authors
    Grazioli, Jacopo; Ghiggi, Gionata; Berne, Alexis
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset overview

    This dataset provides data and images of snowflakes in free fall collected with a Multi-Angle Snowflake Camera (MASC) The dataset includes, for each recorded snowflakes:

    A triplet of gray-scale images corresponding to the three cameras of the MASC

    A large quantity of geometrical, textural descriptors and the pre-compiled output of published retrieval algorithms as well as basic environmental information at the location and time of each measurement.

    The pre-computed descriptors and retrievals are available either individually for each camera view or, some of them, available as descriptors of the triplet as a whole. A non exhaustive list of precomputed quantities includes for example:

    Textural and geometrical descriptors as in Praz et al 2017

    Hydrometeor classification, riming degree estimation, melting identification, as in Praz et al 2017

    Blowing snow identification, as in Schaer et al 2020

    Mass, volume, gyration estimation, as in Leinonen et al 2021

    Data format and structure

    The dataset is divided into four .parquet file (for scalar descriptors) and a Zarr database (for the images). A detailed description of the data content and of the data records is available here.

    Supporting code

    A python-based API is available to manipulate, display and organize the data of our dataset. It can be found on GitHub. See also the code documentation on ReadTheDocs.

    Download notes

    All files available here for download should be stored in the same folder, if the python-based API is used

    MASCdb.zarr.zip must be unzipped after download

    Field campaigns

    A list of campaigns included in the dataset, with a minimal description is given in the following table

        Campaign_name
        Information
    

    Shielded / Not shielded

    DFIR = Double Fence Intercomparison Reference

    APRES3-2016 & APRES3-2017

        Instrument installed in Antarctica in the context of the APRES3 project. See for example Genthon et al, 2018 or Grazioli et al 2017
        Not shielded
    
    
        Davos-2015
        Instrument installed in the Swiss Alps within the context of SPICE (Solid Precipitation InterComparison Experiment)
        Shielded (DFIR)
    
    
        Davos-2019
        Instrument installed in the Swiss Alps within the context of RACLETS (Role of Aerosols and CLouds Enhanced by Topography on Snow)
        Not shielded
    
    
        ICEGENESIS-2021
        Instrument installed in the Swiss Jura in a MeteoSwiss ground measurement site, within the context of ICE-GENESIS. See for example Billault-Roux et al, 2023
        Not shielded
    
    
        ICEPOP-2018
        Instrument installed in Korea, in the context of ICEPOP. See for example Gehring et al 2021.
        Shielded (DFIR)
    
    
        Jura-2019 & Jura-2023
        Instrument installed in the Swiss Jura within a MeteoSwiss measurement site
        Not shielded
    
    
        Norway-2016
        Instrument installed in Norway during the High-Latitude Measurement of Snowfall (HiLaMS). See for example Cooper et al, 2022.
        Not shielded
    
    
        PLATO-2019
        Instrument installed in the "Davis" Antarctic base during the PLATO field campaign
        Not shielded
    
    
        POPE-2020
        Instrument installed in the "Princess Elizabeth Antarctica" base during the POPE campaign. See for example Ferrone et al, 2023.
        Not shielded
    
    
        Remoray-2022
        Instrument installed in the French Jura.
        Not shielded
    
    
        Valais-2016
        Instrument installed in the Swiss Alps in a ski resort.
        Not shielded
    

    Version

    1.0 - Two new campaigns ("Jura-2023", "Norway-2016") added. Added references and list of campaigns.

    0.3 - a new campaign is added to the dataset ("Remoray-2022")

    0.2 - rename of variables. Variable precision (digits) standardized

    0.1 - first upload

  2. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Grazioli, Jacopo; Ghiggi, Gionata; Berne, Alexis (2023). MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_5578920

MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall

Explore at:
Dataset updated
Jul 5, 2023
Dataset provided by
EPFL-ENAC-IIE-LTE
Authors
Grazioli, Jacopo; Ghiggi, Gionata; Berne, Alexis
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Dataset overview

This dataset provides data and images of snowflakes in free fall collected with a Multi-Angle Snowflake Camera (MASC) The dataset includes, for each recorded snowflakes:

A triplet of gray-scale images corresponding to the three cameras of the MASC

A large quantity of geometrical, textural descriptors and the pre-compiled output of published retrieval algorithms as well as basic environmental information at the location and time of each measurement.

The pre-computed descriptors and retrievals are available either individually for each camera view or, some of them, available as descriptors of the triplet as a whole. A non exhaustive list of precomputed quantities includes for example:

Textural and geometrical descriptors as in Praz et al 2017

Hydrometeor classification, riming degree estimation, melting identification, as in Praz et al 2017

Blowing snow identification, as in Schaer et al 2020

Mass, volume, gyration estimation, as in Leinonen et al 2021

Data format and structure

The dataset is divided into four .parquet file (for scalar descriptors) and a Zarr database (for the images). A detailed description of the data content and of the data records is available here.

Supporting code

A python-based API is available to manipulate, display and organize the data of our dataset. It can be found on GitHub. See also the code documentation on ReadTheDocs.

Download notes

All files available here for download should be stored in the same folder, if the python-based API is used

MASCdb.zarr.zip must be unzipped after download

Field campaigns

A list of campaigns included in the dataset, with a minimal description is given in the following table

    Campaign_name
    Information

Shielded / Not shielded

DFIR = Double Fence Intercomparison Reference

APRES3-2016 & APRES3-2017

    Instrument installed in Antarctica in the context of the APRES3 project. See for example Genthon et al, 2018 or Grazioli et al 2017
    Not shielded


    Davos-2015
    Instrument installed in the Swiss Alps within the context of SPICE (Solid Precipitation InterComparison Experiment)
    Shielded (DFIR)


    Davos-2019
    Instrument installed in the Swiss Alps within the context of RACLETS (Role of Aerosols and CLouds Enhanced by Topography on Snow)
    Not shielded


    ICEGENESIS-2021
    Instrument installed in the Swiss Jura in a MeteoSwiss ground measurement site, within the context of ICE-GENESIS. See for example Billault-Roux et al, 2023
    Not shielded


    ICEPOP-2018
    Instrument installed in Korea, in the context of ICEPOP. See for example Gehring et al 2021.
    Shielded (DFIR)


    Jura-2019 & Jura-2023
    Instrument installed in the Swiss Jura within a MeteoSwiss measurement site
    Not shielded


    Norway-2016
    Instrument installed in Norway during the High-Latitude Measurement of Snowfall (HiLaMS). See for example Cooper et al, 2022.
    Not shielded


    PLATO-2019
    Instrument installed in the "Davis" Antarctic base during the PLATO field campaign
    Not shielded


    POPE-2020
    Instrument installed in the "Princess Elizabeth Antarctica" base during the POPE campaign. See for example Ferrone et al, 2023.
    Not shielded


    Remoray-2022
    Instrument installed in the French Jura.
    Not shielded


    Valais-2016
    Instrument installed in the Swiss Alps in a ski resort.
    Not shielded

Version

1.0 - Two new campaigns ("Jura-2023", "Norway-2016") added. Added references and list of campaigns.

0.3 - a new campaign is added to the dataset ("Remoray-2022")

0.2 - rename of variables. Variable precision (digits) standardized

0.1 - first upload

Search
Clear search
Close search
Google apps
Main menu