Published August 27, 2020
| Version v2
Dataset
Open
River Network Metabolic Regime
Authors/Creators
- 1. Università Ca' Foscari, Venezia
- 2. Ecole polytechnique fédérale de Lausanne
Description
This repository contains input data and output results of the Random Forest algorithm to predict the spatiotemporal regime of ecosystem metabolism in an entire river network.
Files
Readme.txt
Files
(84.3 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:7d3344aed8ffd0102646e86eee278c3d
|
3.9 kB | Download |
|
md5:53516d08572bf375af8617a3fe695cea
|
2.6 MB | Download |
|
md5:d4cc85566f3f7015f88e5e2d6051daf8
|
2.6 MB | Download |
|
md5:042ae038565e57dd464b6174469af849
|
2.6 MB | Download |
|
md5:91854300600702b09b23d8526b173289
|
2.6 MB | Download |
|
md5:de4361f2e819b8acfee4eb2ef0b2e857
|
2.6 MB | Download |
|
md5:c45bbc68307347c9adad33c337d8c743
|
71.4 MB | Download |
|
md5:03c3354c6f6655e45ae441da5c00db4c
|
420 Bytes | Preview Download |