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Compilation of concavity index calculations

<p>This dataset contains the compilation of the reference concavity analysis calculated for the manuscript &quot;Impact of changing concavity indices on channel steepness and divide migration metrics&quot; - JGR:Earth Surface</p> <p>Boris Gailleton - boris.gailleton@gfz-potsdam.de<br> Simon M. Mudd<br> Fiona J. Clubb<br> Stuart W.D. Grieve<br> and Martin D. Hurst</p> <p><br> The files are organised by folders, each representing one field site. They contain a csv file with the different information used for table 1 in the main manuscript as well as few useful figures. The summary CSVs have the following collumns:</p> <p>raster_name: a unique ID<br> best_fit: the best fit concavity index<br> err_neg: the lower bound<br> err_pos: the higher bound<br> best_fit_norm_by_range: the best fit concavity index (calculated with the range method)<br> err_neg_norm_by_range: the lower bound (calculated with the range method)<br> err_pos_norm_by_range: the higher bound (calculated with the range method)<br> D*_XXX: disorder for each concavity index tested<br> D*_r_XXX: ranged disorder for each concavity index tested<br> X_median: the median X coordinate of the basin in local WGS84 - UTM coordinates<br> X_firstQ: the median X coordinate of the basin in local WGS84 - UTM coordinates<br> X_thirdtQ: the median X coordinate of the basin in local WGS84 - UTM coordinates<br> Y_median: the median X coordinate of the basin in local WGS84 - UTM coordinates<br> Y_firstQ: the median X coordinate of the basin in local WGS84 - UTM coordinates<br> Y_thirdtQ: the median X coordinate of the basin in local WGS84 - UTM coordinates</p> <p>The local UTM zones are the following (N: North, S: South):</p> <p>Andes_Chile: 19S<br> Arkansas: 15N<br> Bureinsky_range_russia: 52N<br> Carpathians: 35N<br> Caucasus: 38N<br> Central_sierra_madre: 13N<br> Corsica: 31N<br> Ethiopia: 37N<br> Lesotho: 35S<br> Luzon_Phillippines: 51S<br> North_of_Beijing: 50N<br> Nujang: 46N<br> Oregon_Coast_Ranges: 10N<br> San_Gabriel_Mts: 11N<br> Southern_Altai: 47N<br> Southern_Brazil: 23S<br> West_Zoid_Afrika: 33S<br> Wisconsin: 15N<br> Yemen: 38N<br> atlas: 29N<br> dolomites: 33N<br> hida: 54N<br> himalayas: 45N<br> kentucky_and_west_virginia: 17N<br> northern_appalachians: 17N<br> olympic: 10N<br> pyrenees: 31N<br> southern_appalachians: 10N<br> taiwan: 51N<br> tien_shan: 44N<br> zagros: 38N</p> <p><br> There is also a summary csv file compiling all the information in the root folder.</p> <p>Most of the field sites also have a number of figures:</p> <p>_CDF_IQR: Cumulative distributed function of the inter-quartile range of concavity indices&#39; uncertainties for all the basins in the area<br> _histogram_all_fits: Histogram of all the best fits<br> _MAP_best_fits: Map of the best fits<br> _D_star_range_theta_X: Map of D_star_r for the median best fit of all the basins (i.e. how good the median best fit is for each basins)<br> _min_Dstar_for_each_basins: Map of minimum D_star for each basin, representing the quality of the best fit for each basins</p> <p><br> Note that few field sites only have the csv file, as they are themselves compilation of multiple analysis.</p> <p>All the calculations have been done usign lsdtopytools (10.5281/zenodo.4774992)</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4