New function ifcb_annotate_samples() to create manual classification .mat files compatible with the ifcb-analysis MATLAB repository, using PNG images organized in class named subfolders and a class2use.mat file.
New function ifcb_zip_images_by_class() to zip each PNG subfolder with optional random sampling. Useful for preparing class-specific image archives for submission.
Added a new diatom_include argument to ifcb_extract_biovolumes() and ifcb_is_diatom() for manually forcing specific taxa to be treated as diatoms (overrides WoRMS classification).
Added a new timestamp_param argument to ifcb_get_ferrybox_data() allowing the Ferrybox timestamp column to be specified dynamically instead of being hard coded.
Added a new max_time_diff_min argument to ifcb_get_ferrybox_data() controlling the maximum allowed time difference in minutes when matching Ferrybox data to requested timestamps.
Added a new biovolume_only argument to ifcb_read_features() to allow reading only biovolume related columns, improving performance for large feature tables.
Added a new add_trailing_numbers argument to ifcb_extract_annotated_images() to control whether a zero-padded numeric suffix based on the manual class index is appended to class names in the output filenames.
Added a new include_classes argument to ifcb_prepare_whoi_plankton() to allow explicit selection of classes to include during processing.
Minor improvements and fixes
Runnable examples are now wrapped in \donttest{} instead of \dontrun{}.
Timestamp matching in ifcb_get_ferrybox_data() is now more flexible and can fall back to the closest available Ferrybox observation within the specified time window when no exact or rounded match is found.
