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

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, te...

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Bibliographic Details
Main Authors: Grazioli, Jacopo, Ghiggi, Gionata, Berne, Alexis
Format: Dataset
Language:English
Published: Zenodo 2023
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.8046497
https://zenodo.org/record/8046497
id ftdatacite:10.5281/zenodo.8046497
record_format openpolar
spelling ftdatacite:10.5281/zenodo.8046497 2023-07-23T04:15:52+02:00 MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall ... Grazioli, Jacopo Ghiggi, Gionata Berne, Alexis 2023 https://dx.doi.org/10.5281/zenodo.8046497 https://zenodo.org/record/8046497 en eng Zenodo https://github.com/ltelab/pymascdb https://dx.doi.org/10.5194/amt-10-1335-2017 https://dx.doi.org/10.5194/tc-14-367-2020 https://dx.doi.org/10.5194/amt-2021-176 https://github.com/ltelab/pymascdb https://dx.doi.org/10.5194/amt-5-2625-2012 https://dx.doi.org/10.1175/bams-d-21-0007.1 https://dx.doi.org/10.5281/zenodo.5578920 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess Snowfall ice crystals snow images snowflakes multi angle snowflake camera MASC image classification meteorology dataset Dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.804649710.5194/amt-10-1335-201710.5194/tc-14-367-202010.5194/amt-2021-17610.5194/amt-5-2625-201210.1175/bams-d-21-0007.110.5281/zenodo.5578920 2023-07-03T19:07:01Z 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 ... : {"references": ["Billault-Roux, A., and Coauthors, 2023: ICE GENESIS: Synergetic Aircraft and Ground-Based Remote Sensing and In Situ Measurements of Snowfall Microphysical Properties. Bull. Amer. Meteor. Soc., 104, E367\u2013E388, https://doi.org/10.1175/BAMS-D-21-0184.1.", "Cooper S.J., T.S. L'Ecuyer, M.A. Wolff, T. Kuhn, C. Pettersen, C. Schirle, J. Shates, N.B. Wood, S. Eliasson, F. Hellmuth, B.J.K. Engdahl, T. Ilmo, and K. Nyg\u00e5rd, 2022: Exploring Snowfall Variability through the High-Latitude Measurement of Snowfall (HiLaMS) Field Campaign, Bull American Met Society, pp. E1762\u2013E1780, https://doi.org/10.1175/BAMS-D-21-0007.1", "Ferrone, A. and Berne, A.: Radar and ground-level measurements of clouds and precipitation collected during the POPE 2020 campaign at Princess Elisabeth Antarctica, Earth Syst. Sci. Data, 15, 1115\u20131132, https://doi.org/10.5194/essd-15-1115-2023, 2023.", "Garrett, T. J., Fallgatter, C., Shkurko, K., and Howlett, D.: Fall speed measurement and high-resolution ... Dataset Antarc* Antarctica DataCite Metadata Store (German National Library of Science and Technology) Leinonen ENVELOPE(24.993,24.993,66.148,66.148)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Snowfall
ice crystals
snow images
snowflakes
multi angle snowflake camera MASC
image classification
meteorology
spellingShingle Snowfall
ice crystals
snow images
snowflakes
multi angle snowflake camera MASC
image classification
meteorology
Grazioli, Jacopo
Ghiggi, Gionata
Berne, Alexis
MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall ...
topic_facet Snowfall
ice crystals
snow images
snowflakes
multi angle snowflake camera MASC
image classification
meteorology
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 ... : {"references": ["Billault-Roux, A., and Coauthors, 2023: ICE GENESIS: Synergetic Aircraft and Ground-Based Remote Sensing and In Situ Measurements of Snowfall Microphysical Properties. Bull. Amer. Meteor. Soc., 104, E367\u2013E388, https://doi.org/10.1175/BAMS-D-21-0184.1.", "Cooper S.J., T.S. L'Ecuyer, M.A. Wolff, T. Kuhn, C. Pettersen, C. Schirle, J. Shates, N.B. Wood, S. Eliasson, F. Hellmuth, B.J.K. Engdahl, T. Ilmo, and K. Nyg\u00e5rd, 2022: Exploring Snowfall Variability through the High-Latitude Measurement of Snowfall (HiLaMS) Field Campaign, Bull American Met Society, pp. E1762\u2013E1780, https://doi.org/10.1175/BAMS-D-21-0007.1", "Ferrone, A. and Berne, A.: Radar and ground-level measurements of clouds and precipitation collected during the POPE 2020 campaign at Princess Elisabeth Antarctica, Earth Syst. Sci. Data, 15, 1115\u20131132, https://doi.org/10.5194/essd-15-1115-2023, 2023.", "Garrett, T. J., Fallgatter, C., Shkurko, K., and Howlett, D.: Fall speed measurement and high-resolution ...
format Dataset
author Grazioli, Jacopo
Ghiggi, Gionata
Berne, Alexis
author_facet Grazioli, Jacopo
Ghiggi, Gionata
Berne, Alexis
author_sort Grazioli, Jacopo
title MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall ...
title_short MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall ...
title_full MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall ...
title_fullStr MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall ...
title_full_unstemmed MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall ...
title_sort mascdb, a database of images, descriptors and microphysical properties of individual snowflakes in free fall ...
publisher Zenodo
publishDate 2023
url https://dx.doi.org/10.5281/zenodo.8046497
https://zenodo.org/record/8046497
long_lat ENVELOPE(24.993,24.993,66.148,66.148)
geographic Leinonen
geographic_facet Leinonen
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation https://github.com/ltelab/pymascdb
https://dx.doi.org/10.5194/amt-10-1335-2017
https://dx.doi.org/10.5194/tc-14-367-2020
https://dx.doi.org/10.5194/amt-2021-176
https://github.com/ltelab/pymascdb
https://dx.doi.org/10.5194/amt-5-2625-2012
https://dx.doi.org/10.1175/bams-d-21-0007.1
https://dx.doi.org/10.5281/zenodo.5578920
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.804649710.5194/amt-10-1335-201710.5194/tc-14-367-202010.5194/amt-2021-17610.5194/amt-5-2625-201210.1175/bams-d-21-0007.110.5281/zenodo.5578920
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