Published July 19, 2024
| Version v1
Dataset
Open
Data accompanying "Artificial selection improves pollutant degradation by bacterial communities"
Authors/Creators
-
1.
Charité - Universitätsmedizin Berlin
-
2.
University of Lausanne
Description
Raw data used to generate all figures in the associated manuscript.
Files
Files
(367.1 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:8a0e557a48206f55754f69c32c69de1d
|
15.0 kB | Download |
|
md5:16b223ccc7440c87118668e994b1f156
|
224.1 kB | Download |
|
md5:795f568c3f1cc1b1a6f3c19a64b30e06
|
21.9 kB | Download |
|
md5:da47e6d787f25c7b205e3419e4b12d0f
|
106.1 kB | Download |
Additional details
Software
- Repository URL
- https://github.com/Mitri-lab/disassembly_selection_experiment
- Programming language
- Python