Quecksilber in Fischen aus der Nord- und Ostsee (2021) [Datenpublikation]
Literatur
Kammann UKR (2024) Quecksilber in Fischen aus der Nord- und Ostsee (2021) [Datenpublikation] [online]. 3 XLSX-Dateien. Göttingen: OpenAgrar, zu finden in [zitiert am 29.04.2024], DOI:10.3220/DATA20240410154416-0
Temporal trends of mercury levels in fish (dab, Limanda limanda) and sediment from the German Bight (North Sea) in the period 1995–2020 [Datenpublikation]
Literatur
Kammann UKR, Nogueira P, Siegmund M, Schmidt N, Schmolke S, Kirchgeorg T, Hasenbein M, Wysujack K (2024) Temporal trends of mercury levels in fish (dab, Limanda limanda) and sediment from the German Bight (North Sea) in the period 1995–2020 [Datenpublikation] [online]. 1 XLSX file. Göttingen: OpenAgrar, zu finden in [zitiert am 29.04.2024], DOI:10.3220/DATA20240410173308-0
Quecksilber in Fischen aus der Nord- und Ostsee (2023) [Datenpublikation]
Literatur
Kammann UKR (2024) Quecksilber in Fischen aus der Nord- und Ostsee (2023) [Datenpublikation] [online]. 1 XLSX-Datei. Göttingen: OpenAgrar, zu finden in [zitiert am 29.04.2024], DOI:10.3220/DATA20240410161007-0
Sentinel-2 machine learning dataset for tree species classification in Germany [Datenpublikation]
Literatur
Freudenberg M, Schnell S, Magdon P (2024) Sentinel-2 machine learning dataset for tree species classification in Germany [Datenpublikation] [online]. 1 SQLITE file, 3 PRM files, 1 IPYNB file. Göttingen: OpenAgrar, zu finden in [zitiert am 09.04.2024], DOI:10.3220/DATA20240402122351-0
The influence of politicians' sex on political budget cycles: An empirical analysis of Spanish municipalities [Datenpublikation]
Literatur
García Dominguez I, Hayo B (2024) The influence of politicians' sex on political budget cycles: An empirical analysis of Spanish municipalities [Datenpublikation] [online]. 1 DTA file. Göttingen: OpenAgrar, zu finden in [zitiert am 11.09.2024], DOI:10.3220/DATA20240910130608-0
Determination of terpene-based VOCs emitted from pine wood using NIR spectroscopy_Raw Data [Datenpublikation]
Literatur
Majer S (2024) Determination of terpene-based VOCs emitted from pine wood using NIR spectroscopy_Raw Data [Datenpublikation] [online]. 7 XLSX files, 11 DOCX files, 4 CSV files, 4 JPG files. Göttingen: OpenAgrar, zu finden in [zitiert am 19.09.2024], DOI:10.3220/DATA20240807131438-0
Dataset: Abundance and composition of microbiomes in agricultural biogas plants in Lower Saxony, Germany, with variation in organic substrates, process parameters and nutrients [Datenpublikation]
Literatur
Krause SMB, Wang R, Dohrmann AB, Walz M, Löwin A, Tebbe CC (2024) Dataset: Abundance and composition of microbiomes in agricultural biogas plants in Lower Saxony, Germany, with variation in organic substrates, process parameters and nutrients [Datenpublikation] [online]. 2 XLSX files. Göttingen: OpenAgrar, zu finden in [zitiert am 25.09.2024], DOI:10.3220/DATA20240919153413-0
German MORS monitoring seawater, sediment, and suspended matter 2022 : Radioactive Substances data [Datenpublikation]
Literatur
Aust M-O, Nogueira P (2024) German MORS monitoring seawater, sediment, and suspended matter 2022 : Radioactive Substances data [Datenpublikation] [online]. 1 ACCDB file. Göttingen: OpenAgrar, zu finden in [zitiert am 02.10.2024], DOI:10.3220/DATA20241001144415-0
Hydrographic data of the International Bottom Trawl Survey (1st quarter) 2017 [Datenpublikation]
Literatur
Cisewski B, Kloppmann MHF, Akimova A, Elsheimer A, Martynenko A (2024) Hydrographic data of the International Bottom Trawl Survey (1st quarter) 2017 [Datenpublikation] [online]. 1 TXT file, 1 PNG file. Göttingen: OpenAgrar, zu finden in [zitiert am 02.10.2024], DOI:10.3220/DATA20240917141718-0
Hydrographic data of the International Bottom Trawl Survey (1st quarter) 2018 [Datenpublikation]
Literatur
Cisewski B, Kloppmann MHF, Akimova A, Elsheimer A, Martynenko A (2024) Hydrographic data of the International Bottom Trawl Survey (1st quarter) 2018 [Datenpublikation] [online]. 1 TXT file, 1 PNG file. Göttingen: OpenAgrar, zu finden in [zitiert am 02.10.2024], DOI:10.3220/DATA20240917144443-0