Published February 19, 2020
| Version v1
Dataset
Open
Data for "Function Space Optimization: A symbolic regression method for estimating parameter transfer functions for hydrological models"
Authors/Creators
- 1. Institute for Hydrology and Water Management, University of Natural Resources and Life Sciences, Vienna, Austria
- 2. LIT AI Lab & Institute for Machine Learning, Johannes Kepler University Linz, Linz, Austria
Description
This repository contains all geo-physical catchment properties used in the publication "Function Space Optimization: A symbolic regression method for estimating parameter transfer functions for hydrological models".
Files
Files
(37.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:0a8e0c973c3bf11db9132cd913c18c0b
|
4.5 MB | Download |
|
md5:35c7c52358748c6365d46cf31887023d
|
5.5 MB | Download |
|
md5:010ae95c62532ef8192dbede6e5174bf
|
2.7 MB | Download |
|
md5:3f6d00361f707ae3e060835bca46a88b
|
6.1 MB | Download |
|
md5:28fa49e5791c835436b6b54e18722f79
|
1.9 MB | Download |
|
md5:48a0625212c879d67b51b40883fc956d
|
6.2 MB | Download |
|
md5:48491c3c58d6203ac993be0ad492f888
|
5.5 MB | Download |
|
md5:fd8f746ee9af1e7180943e7d172d8f3f
|
5.5 MB | Download |