Published November 13, 2024
| Version v1
Dataset
Open
Dataset in support of an AI-aided chronic mixture risk assessment along a small European river
Authors/Creators
-
Weichert, Fabian Georg
(Researcher)1
-
Inostroza, Pedro A.
(Researcher)2
- Ahlheim, Jörg (Researcher)3
-
Backhaus, Thomas
(Researcher)2
-
Brack, Werner
(Researcher)3
-
Brauns, Mario
(Researcher)3
-
Fink, Patrick
(Researcher)3
-
Krauss, Martin
(Researcher)3
-
Svedberg, Patrik
(Researcher)4
-
Hollert, Henner
(Researcher)1
-
1.
Goethe University Frankfurt
-
2.
RWTH Aachen University
-
3.
Helmholtz Centre for Environmental Research
-
4.
University of Gothenburg
Description
Here, we make available a dataset to perform an AI-aided multi-scenario chronic mixture risk assessment. In 2021, river-water samples were collected at six sampling sites along the Holtemme River in Central Germany using large-volume solid phase extraction. The extracts were analysed by target chemical analysis for contaminants of emerging concern. The dataset of the chemical analysis was already published and can be found at DOI: 10.5281/zenodo.10892038. Furthermore, a detailed description of the dataset can be found at DOI: 10.1016/j.dib.2024.110510.
Files
01_Readme.txt
Files
(174.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:7f74768e7dd4b79f19d99b96bf034385
|
1.5 kB | Preview Download |
|
md5:d39290fe8cf8206cdc35c15e2975f468
|
76.4 kB | Preview Download |
|
md5:82f20c8e37475defea1e1df181c91040
|
95.7 MB | Preview Download |
|
md5:40091fc822e852934d3afbc7044460da
|
4.0 MB | Preview Download |
|
md5:4656c4e3851d2e9889d9fe4e6ba8c95f
|
23.4 MB | Download |
|
md5:4d1ce0ee527f3f0f0449b270d823c58f
|
185.1 kB | Download |
|
md5:128135e5c39d597fc91ccc1602383fee
|
61.6 kB | Preview Download |
|
md5:f27ef3fa3a9cf40a29bd458655b6d2c2
|
7.3 MB | Preview Download |
|
md5:7eabebad0f084a063ab987c373a1c3f2
|
7.4 MB | Preview Download |
|
md5:3f080bd2ae0d28f136adcfda517a9454
|
7.4 MB | Preview Download |
|
md5:f9466d87349df76fc00d0940ef3b018d
|
7.4 MB | Preview Download |
|
md5:d26423a19a37c9be4c8c01b4d9a8e49f
|
7.4 MB | Preview Download |
|
md5:f5a41b24ad774b81548282b82af476b3
|
7.4 MB | Preview Download |
|
md5:ea459a30522609efe9ff5374faf18238
|
7.4 MB | Preview Download |
Additional details
Funding
- Goethe University Frankfurt
- RobustNature Excellence Initiative (internal prefunding of the Goethe University Frankfurt) 2022