Dispersion of the solar magnetic flux in undisturbed photosphere as derived from SDO/HMI data

To explore the magnetic flux dispersion in the undisturbed solar photosphere, magnetograms acquired by Helioseismic and Magnetic Imager (HMI) onboard the Solar Dynamic Observatory (SDO) were utilized. Two areas, a coronal hole area (CH) and an area of super-granulation pattern, SG, were analyzed. We explored the displacement and separation spectra and the behavior of the turbulent diffusion coefficient, $K$. The displacement and separation spectra are very similar to each other. Small magnetic elements (of size 3-100 squared pixels and the detection threshold of 20 Mx sm$^{-2}$) in both CH and SG areas disperse in the same way and they are more mobile than the large elements (of size 20-400 squared pixels and the detection threshold of 130 Mx sm$^{-2}$). The regime of super-diffusivity is found for small elements ($\gamma \approx 1.3$ and $K$ growing from $\sim$100 to $\sim$ 300 km$^2$ s$^{-1}$). Large elements in the CH area are scanty and show super-diffusion with $\gamma \approx 1.2$ and $K$ = (62-96) km$^2$ s$^{-1}$ on rather narrow range of 500-2200 km. Large elements in the SG area demonstrate two ranges of linearity and two diffusivity regimes: sub-diffusivity on scales (900-2500) km with $\gamma=0.88$ and $K$ decreasing from $\sim$130 to $\sim$100 km$^2$ s$^{-1}$, and super-diffusivity on scales (2500-4800) km with $\gamma \approx 1.3$ and $K$ growing from $\sim$140 to $\sim$200 km$^2$ s$^{-1}$. Comparison of our results with the previously published shows that there is a tendency of saturation of the diffusion coefficient on large scales, i.e., the turbulent regime of super-diffusivity is gradually replaced by normal diffusion.Comment: 8 pages, 8 figure

bark_RGBnTextures (human exp)

Contains the RGB and Gabor filter outputs of the backgrounds used in the human experiment. Filename= Name of image file. photo=name of bark, rep= number of sample from each image (5 for each image). R= R value of RGB, G= G value of RGB, B= B value of RGB. fxoy= f: the gabor filter’s spatial frequency (1-4 from fine to coarse), o: the gabor filter’s orientation (1-6 from 0 to 150° in 30° increments

target_RGBnTextures (human exp)

Contains the RGB and Gabor filter outputs of the targets extracted from the backgrounds that were used in the human experiment. Filename= Name of image file. photo=name of target, rep= number of sample from each image (5 for each image). R= R value of RGB, G= G value of RGB, B= B value of RGB. fxoy= f: the gabor filter’s spatial frequency (1-4 from fine to coarse), o: the gabor filter’s orientation (1-6 from 0 to 150° in 30° increments

Survival Experiment

contains all the data from the field experiment. Columns: Block= number of block, Treatment: A= treatment with common colours and textures, B: uncommon colours and textures, C: Uncommon colour but common texture, D: Common colour but uncommon texture. Replicate= the number of the sample in each treatment. Time: Hours of survival of each target. Censor= 1: Successful predation by bird, 0: censored data (not taken by bird). Notes= Cause of target’s removal

survival_data

Survival data associated with Barnett, J.B. et al. "Distance dependent defensive coloration in the poison frog Dendrobates tinctorius, Dendrobatidae

detection_data

Detection data associated with Barnett, J.B. et al. "Distance dependent defensive coloration in the poison frog Dendrobates tinctorius, Dendrobatidae

image_data

Image data associated with Barnett, J.B. et al. "Distance dependent defensive coloration in the poison frog Dendrobates tinctorius, Dendrobatidae

Methods for colour and texture analysis from Optimal background matching camouflage

The colour and texture analysis performed in the optimal background matching colouration Michalis et al