Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2015 1
2016 2
2018 1
2020 1
Text availability
Article attribute
Article type
Publication date

Search Results

4 results
Results by year
Filters applied: . Clear all
Page 1
Integrating river hydromorphology and water quality into ecological status modelling by artificial neural networks.
Gebler D, Wiegleb G, Szoszkiewicz K. Gebler D, et al. Water Res. 2018 Aug 1;139:395-405. doi: 10.1016/j.watres.2018.04.016. Epub 2018 Apr 7. Water Res. 2018. PMID: 29673938
Is the macrophyte diversification along the trophic gradient distinct enough for river monitoring?
Szoszkiewicz K, Budka A, Pietruczuk K, Kayzer D, Gebler D. Szoszkiewicz K, et al. Among authors: gebler d. Environ Monit Assess. 2016 Dec;189(1):4. doi: 10.1007/s10661-016-5710-8. Epub 2016 Dec 3. Environ Monit Assess. 2016. PMID: 27915391 Free PMC article.
Modelling of ecological status of Polish lakes using deep learning techniques.
Gebler D, Kolada A, Pasztaleniec A, Szoszkiewicz K. Gebler D, et al. Environ Sci Pollut Res Int. 2020 Sep 22. doi: 10.1007/s11356-020-10731-1. Online ahead of print. Environ Sci Pollut Res Int. 2020. PMID: 32964383
Comparative test of ecological assessment methods of lowland streams based on long-term monitoring data of macrophytes.
Wiegleb G, Gebler D, van de Weyer K, Birk S. Wiegleb G, et al. Among authors: gebler d. Sci Total Environ. 2016 Jan 15;541:1269-1281. doi: 10.1016/j.scitotenv.2015.10.005. Epub 2015 Nov 11. Sci Total Environ. 2016. PMID: 26476066
Feedback