" Linking fractal scaling of river networks to self-organisation and optimality - data " by Erwin Zehe, Samuel Schroers and Hubert Savenije.

These data underly the analysis presented in the manuscript " Linking fractal scaling of river networks to self-organisation and optimality " by Erwin Zehe, Samuel Schroers and Hubert Savenije. The data used for this analysis are available were taken from the globally available the HydroSHEDS data base at https://www.hydrosheds.org created by Lehner et al. (2008). The extracted data for analyzing the 18 of the largest Rivers are stored as csv files sorted by river names. The metadata are provided in "HydroSHEDS_TechDoc_v1_4.pdf" and "BasinATLAS_Catalog_v10.pdf". The matlab codes for data analysis and simulations were tested and should be self-explaining. · River_data_from_HydroSheds contains the raw_data from HydroSheds as CSV · Creating_horton_numbers_from_river_data an example to calculate Horton numbers from the raw data for each river as csv, the corresponding Matlab code using example input for the Nile · Stream_numbers_against_area_and_fits contains Horton numbers for each rivers and the Matlab codes to plot N against A, N*L against A and to fit the corresponding power laws. And it contains the Matlab code to calculate specific dissipation for all rivers. · Creating_JEpot_from_River_data contains an matlab code to calculate Jepot from the raw data including one example for the Niger, files with Jepot as function of catchment area for the main channel of all rivers and the matlab code to plot them all in the same graph. References · Lehner, B., Verdin, K. & Jarvis, A. New Global Hydrography Derived From Spaceborne Elevation Data. Eos, Transactions American Geophysical Union 89, 93-94, doi:https://doi.org/10.1029/2008EO100001 (2008).