PANGAEA_974323
Water and sediment (physico)chemical data from Amazonas lakes, Brazil - rainy and dry seasons 2021 - 2023
Matschullat, Jörg; Roeder, Eric; Adam, Sean Mark Peter; Lau, Maximilian
Water and sediment (physico)chemical data from Amazonas lakes, Brazil - rainy and dry seasons 2021 - 2023
2026-02-05
PANGAEA
Dataset
https://doi.pangaea.de/10.1594/PANGAEA.974323
Earth Science
geoscientificInformation
Amazon Basin
carbon - nitrogen - sulphur (CNS)
climatological data
dissolved organic carbon (DOC)
hydrographical profiles
major - minor - trace elements
physicochemical parameters
Seasonality
shallow tropical lakes
2021-09-24
2023-08-21
Complete
-3.2937
-1.8799
-60.3013
-59.4607
RoBiMo
Robotergestütztes Binnengewässer-Monitoring
unrestricted
CC-BY-4.0: Creative Commons Attribution 4.0 International
English
PANGAEA
Data Publisher for Earth & Environmental Science
https://www.pangaea.de/
Data Center Contact
Michael
Diepenbroek
info@pangaea.de
Leobener Str.
Bremen
Bremen
28359
Germany
online
4 datasets
application/zip
Matschullat, Jörg; Bezerra de Lima, R M; Coimbra Martins, Gilvan; de Lima Boijink, C; Dairiki, J K; Roeder, Eric; Lau, Maximilian; Adam, Sean Mark Peter; Souza de Oliveira, C T; Malheiros Ramos, Andrea; Plessow, Alexander; Schwatke, Christian; Forsberg, Bruce R (submitted): Water and sediment chemistry of shallow tropical lakes show alert signals. Journal of Geophysical Research: Biogeosciences
Zug, S; Licht, G; Börner, E; de Souza Mota, Edjair; Monteiro Bezerra de Lima, R; Roeder, Eric; Matschullat, Jörg (2025): Taking the pulse of nature – how robotics and sensors assist in lake and reservoir management. Geoscientific Instrumentation, Methods and Data Systems, 14(2), 167-181, https://doi.org/10.5194/gi-14-167-2025
Water (physico)chemical and sediment chemical data from shallow tropical lakes and some piscicultures are available. In 5 subsequent field campaigns in both dry (3x) and rainy (2x) seasons from September 2021 to August 2023, we targeted five lake basins, including a large reservoir (Balbina), and 2 pisciculture locations in Amazonas state, Brazil. The lakes are Caldeirão and Jandira (blackwater), and Grande and Iranduba (whitewater), all on Iranduba peninsula to the WSW of Manaus. The two piscicultural locations are near the town of Rio Preto da Eva, NE from Manaus, and comprise various basins each with location 1 being used for raising young fish and location 2 for the production of edible fish. The purpose of the study serves a) availability of high-quality water and sediment data for this underrepresented region, and b) providing related baselines, c) testing the differences between tropical clearwater, blackwater and whitewater lakes, d) elucidating lake sensitivies particularly to drought phases and seasonal changes at large, and e) to obtain data that allows for improving lake management in the region. ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.974323"!
https://doi.org/10.5194/gi-14-167-2025
Taking the pulse of nature – how robotics and sensors assist in lake and reservoir management
https://tu-freiberg.de/geo/hydro/our-research-projects-and-stipends/robimo-robotergestuetztes-binnengewaesser-monitoring
RoBiMo
DIF
9.4
2026-02-05
2026-07-15