# README


## Name of Dataset

ODER~SO | Oder River Disaster 2022 | Data | SP10a | MZB_River


## Description

This data set contains habitat-specific macrozoobenthos abundance data taken from different locations along the Oder River from Ratzdorf to Gartz. The data was obtained from two sampling trips (November 2022 and June 2023). The creation of a more comprehensive dataset containing data from this data package and other sampling trips is in progress.


## Creators or Authors

Bianca Dörgeloh
Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Humboldt Universität zu Berlin
bianca.doergeloh@igb-berlin.de
ORCID https://orcid.org/0009-0003-3363-1845

Tim Königsberger
Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB)
tim.koenigsberger@igb-berlin.de


## Dataset Context

This data was collected as part of the ODER~SO investigation program, subproject 10a - Benthic invertebrates in the wadeable area.
The specific aim of this research project is to investigate the impacts of disturbance events on benthic invertebrates/macrozoobenthos (MZB) based on the Oder River disaster. By conducting this study, we aim to contribute to a broader understanding of the impacts of Prymnesium parvum on benthic invertebrate species and the recovery of benthic invertebrates after a mass kill event.


## Limitations and Quality

The scientific names were verified using tables from https://gewaesser-bewertung-berechnung.de/index.php/perlodes-online.html (Perlodes Online Version 5.1 Dokumentation Teil IV Tabellen. Stand September 2025. Heruntergeladen am 03.11.2025), these tables and National Center for Biotechnology Information (NCBI)[Internet] were also used to obtain information about the taxa (for perlodes list and NCBI source see references section).
For the creation of the data set RStudio and Excel were used, including the R packages: openxlsx, tidyverse and readxl (see references).

The following groups were removed from/are not included in the data set:
- Hydrachnidia Gen. sp.
- Bryozoa
- Coelenterata
- Unionidae (Unionidae are recorded with an additional mussel mapping)
- Branchiura
- Cambaridae
- Collembola
- Porifera

The Taxa of the following families are only included at family level or a higher taxonomic level
- Corbiculidae
- Sphaeriidae

Samples were taken and benthic invertebrate individuals were sorted and identified by different persons. The data quality depends on knowledge and experience of these persons.

further limitations:
- loss of parts of the material during material collection and samples processing
- overlooked animals and miscounting during sorting/identification
- changes in taxonomic names and usage of different identification keys


## File Format and Data Structure

- .xlsx file with data
- .xlsx file with the data dictionary

Columns of the data set file (These columns are explained in the data dictionary):
- calc_Ind_per_SQ
- Taxon
- Familie
- Gruppe
- Best.-Niveau
- sampling
- location
- Datum
- sample_ID
- sample_note
- habitat
- habitat_general
- sampled_area


## References
[1]
Perlodes Online Version 5.1 Dokumentation Teil IV Tabellen. Stand September 2025. Heruntergeladen am 03.11.2025. https://gewaesser-bewertung-berechnung.de/index.php/perlodes-online.html

[2]
National Center for Biotechnology Information (NCBI)[Internet]. Bethesda (MD): National Library of Medicine (US), National Center for Biotechnology Information; [1988] – [cited 2025 Dec 12]. Available from: https://www.ncbi.nlm.nih.gov/

[3]
R Core Team (2023). _R: A Language and Environment for Statistical Computing_. R Foundation for Statistical Computing, Vienna, Austria. <https://www.R-project.org/>.

[4]
Schauberger P, Walker A (2025). _openxlsx: Read, Write and Edit xlsx Files_. R package version 4.2.8, <https://CRAN.R-project.org/package=openxlsx>.

[5]
Wickham H, Averick M, Bryan J, Chang W, McGowan LD, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen TL, Miller E, Bache SM, Müller K, Ooms J, Robinson D, Seidel DP, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). “Welcome to the tidyverse.” _Journal of Open Source Software_, *4*(43), 1686. doi:10.21105/joss.01686 <https://doi.org/10.21105/joss.01686>.

[6]
Wickham H, Bryan J (2025). _readxl: Read Excel Files_. R package version 1.4.5, <https://CRAN.R-project.org/package=readxl>.



## Contact Information

For questions please contact:
Bianca Dörgeloh
bianca.doergeloh@igb-berlin.de

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