data-2p/df_eyewire2_field_level.md

df_eyewire2_field_level.parquet

Loaded via data_loader.load_df_fields(). One row per recording field. 5 rows x 22 columns.

• experimenter: Name of the experimenter who conducted the recording.
• date: Date of the experiment.
• exp_num: Experiment number for the given date. Typically corresponds to the eye: 1 = left eye, 2 = right eye.
• raw_id: Internal recording/table index from the acquisition pipeline; not meaningful for analysis on its own.
• field: Field identifier ("GCL" + a number indicating the sequential order of the field within the recording session).
• region: Anatomical region of the recording field. Values seen: "RR" (Right Retina).
• cond1: Experimental condition identifier for the recording (e.g. "control").
• ch0_name, ch1_name: Names of the two acquisition channels (wDataCh0 = OGB-1/calcium indicator channel, wDataCh1 = SR-101/structural astrocyte-marker channel).
• genline: Genetic line of the animal (typically "Bl6").
• animgender: Sex of the animal.
• eye: Eye used for recording ("left" or "right").
• setupid: Identifier of the physical 2P rig/setup used for acquisition.
• prepwmorient: Orientation of the eye-cup preparation in degrees. 0 deg indicates dorsal is toward the back of the chamber; -1 indicates unknown orientation.
• nxpix, nypix: Width/height of the recorded field in pixels.
• pixel_size_um: Physical size of one pixel in micrometers.
• field_ventral_dorsal_pos_um: Ventral-dorsal position of the field's center relative to the optic nerve, in micrometers (negative = ventral, positive = dorsal).
• field_temporal_nasal_pos_um: Temporal-nasal position of the field's center relative to the optic nerve, in micrometers (negative = temporal, positive = nasal).
• ch0_average, ch1_average: Average-intensity images (2D, nxpix x nypix) of the two acquisition channels for the field.
• roi_mask: 2D integer array (nxpix x nypix) segmenting the field into ROIs. Each unique positive value identifies one ROI (matching roi_id in the ROI-level DataFrame); zero/negative values are background (see plot_morph.plot_roi_mask).