DOI: 10.5061/dryad.bg79cnpnr
title: Data from: Adaptive superposition compound eyes for perceptions under distinct light levels

description: Optical superposition natural compound eyes (OSNCEs) allow circadian
 insects to thrive in varying light conditions thanks to their unique
 anatomical structures. This provides a blueprint for optical superposition
 artificial compound eyes (OSACEs) that can adapt to different illumination
 intensities. However, OSACEs have received limited research attention
 until recently, with most studies focusing on apposition compound eyes
 that operate only in bright light. In this work, we accurately replicate
 the anatomical features and the ganglia adjustments of OSNCEs using lensed
 plastic optical fibres as artificial ommatidia. As the core part of this
 work, we implement a spatial approach alongside a temporal approach
 derived from both hardware and algorithms to accommodate lighting
 variations of up to 1,000 times while still maintaining high image quality
 such as 180-degree field of view, minimal distortion, nearly infinite
 depth of field, and ultrafast motion detection. These adaptive biomimetic
 features make the OSACE very promising for surveillance, virtual reality,
 and unmanned aerial vehicles.
description: # Data from: Adaptive superposition compound eyes for perceptions under
 distinct light levels Dataset DOI:
 [10.5061/dryad.bg79cnpnr](10.5061/dryad.bg79cnpnr) ## Description of the
 data and file structure Data for figures. ### Files and variables ####
 File: Fig._3G_0.1_lux.dat **Description:** Data for Fig._3G_0.1_lux ####
 File: Fig._3G_10_lux.dat **Description:** Data for Fig._3G_10_lux ####
 File: Fig._3G_100_lux.dat **Description:** Data for Fig._3G_100_lux ####
 File: Fig._3G_50_lux.dat **Description:** Data for Fig._3G_50_lux ####
 File: Fig._3G_Format.dat **Description:** Format for data in Fig._3G ####
 File: Fig._3H_150_ms.dat **Description:** Data for Fig._3H_150_ms ####
 File: Fig._3H_300_ms.dat **Description:** Data for Fig._3H_300_ms ####
 File: Fig._3H_600_ms.dat **Description:** Data for Fig._3H_600_ms ####
 File: Fig._3H_450_ms.dat **Description:** Data for Fig._3H_450_ms ####
 File: Fig._3H_Format.dat **Description:** Format for data in Fig._3H ####
 File: Fig._3H_Spatial.dat **Description:** Data for Fig._3H_Spatial ####
 File: Fig._3I_0.1_lux.dat **Description:** Data for Fig._3I_0.1_lux ####
 File: Fig._3I_10_lux.dat **Description:** Data for Fig._3I_10_lux ####
 File: Fig._3I_50_lux.dat **Description:** Data for Fig._3I_50_lux ####
 File: Fig._3I_100_lux.dat **Description:** Data for Fig._3I_100_lux ####
 File: Fig._3I_Format.dat **Description:** Format for data in Fig._3I ####
 File: Fig._3J_10_lux.dat **Description:** Data for Fig._3J_10_lux ####
 File: Fig._3J_50_lux.dat **Description:** Data for Fig._3J_50_lux ####
 File: Fig._3J_100_lux.dat **Description:** Data for Fig._3J_100_lux ####
 File: Fig._3J_Format.dat **Description:** Format for data in Fig._3J ####
 File: Fig._3K_Fig._3K.dat **Description:** Data for Fig._3K #### File:
 Fig._3K_Format.dat **Description:** Format for data in Fig._3K #### File:
 Fig._3L_75_ms.dat **Description:** Data for Fig._3L_75_ms #### File:
 Fig._3L_150_ms.dat **Description:** Data for Fig._3L_150_ms #### File:
 Fig._3L_300_ms.dat **Description:** Data for Fig._3L_300_ms #### File:
 Fig._3L_Format.dat **Description:** Format for data in Fig._3L #### File:
 Fig._5C_100_lux.dat **Description:** Data for Fig._5C #### File:
 Fig._5C-E_Format.dat **Description:** Format for data in Fig._5C-E ####
 File: Fig._5D_50_lux.dat **Description:** Data for Fig._5D #### File:
 Fig._5E_10_lux.dat **Description:** Data for Fig._5E ## Code/software
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