Skip to main content
zenodorestricted

Testing Topographic equilibrium between the Ganga and the Narmada River systems, central Indian forebulge (Chi analysis data).

<p>This&nbsp;data contains the .csv files which are generated in order to find the Chi metrics, Normalized steepness index and best fit theta value for the rivers flowing (viz, Chambal, Sindh, Betwa, Ken, Tamas,&nbsp;Son and Narmada river systems)&nbsp;on the central Indian plateau.&nbsp;The data belongs to the paper titled &quot;Testing Topographic equilibrium between the Ganga and the Narmada River systems, central Indian forebulge&quot; that is in review process.</p> <p>We have used the program &quot;LSDTopoTools&quot; to generate these&nbsp;dataset. The files having prefix &quot;parv_125_&quot; are generated for a&nbsp;DEM of 125m resolution whereas the ones with prefix &quot;3apr_90&quot;&nbsp;are generated for the 90 m resolution DEM. These datasets are used to find out the best fit theta value (Concavity index)&nbsp;for the rivers flowing on&nbsp;the&nbsp;central Indian plateau. These datasets are further converted to simplified&nbsp;figures using Python programming. The file having the name &quot;ind_2k_50_MChiSegmented.csv&quot; is the final dataset which is&nbsp;used to generate maps of the&nbsp;Chi metrics and Normalized steepness values using&nbsp;a GIS software.</p>

ShareScore

16/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
0
Reuse readiness
0
Engagement
4

Topics

Dataset details

Repository
zenodo
Published
January 3, 2023
License
Not reported
DOI
10.5281/zenodo.7504247

Scored with release 0.9.0

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.