Attributes { s { url { String ioos_category "Identifier"; String long_name "URL"; } name { String ioos_category "Identifier"; String long_name "File Name"; } lastModified { String ioos_category "Time"; String long_name "Last Modified"; String time_origin "01-JAN-1970 00:00:00"; String units "seconds since 1970-01-01T00:00:00Z"; } size { String ioos_category "Other"; String long_name "Size"; String units "bytes"; } fileType { String ioos_category "Identifier"; String long_name "File Type"; } } NC_GLOBAL { String cdm_data_type "Other"; String history "2024-04-23T13:03:54Z (local files) 2024-04-23T13:03:54Z http://erddap.osupytheas.fr/erddap/tabledap/Automatic_recognition_CNN_material.das"; String infoUrl "https://sslamm.mio.osupytheas.fr/"; String institution "MIO UMR 7294 CNRS"; String keywords "cnrs, convolutional, cytometry, fuchs, functional, groups, identifier, mio, networks neural, phytoplankton"; String license "The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information."; String sourceUrl "(local files)"; String subsetVariables "fileType"; String summary "This directory gathers the data, the models configurations and the results obtained in the paper \"Automatic recognition of flow cytometric phytoplankton functional groups using Convolutional Neural Networks\" by Fuchs et al. (2021)."; String title "Flow Cytometry : Fuchs et al. (2021) - Data and models"; } }