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author Matschullat, Jörg
Roeder, Eric
Adam, Sean Mark Peter
Lau, Maximilian
author_facet Matschullat, Jörg
Roeder, Eric
Adam, Sean Mark Peter
Lau, Maximilian
collection Datos científicos de ciencias marinas y ambientales
contents 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. Water samples from different depth were taken repetitively with a contamination-free sampler. These samples were treated onboard (membrane filtration, acidification for cations, cooling) and stored in ultrapure acid-cleaned HDPE containers. The membrane filters from the water samples were kept and later analyzed for carbon, nitrogen and sulphur (by elemental analysis, El Cube from Elementar).
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_974318
institution PANGAEA
language en
publishDate 2026
publisher PANGAEA
record_format pangaea
spellingShingle CNS filter residue data from Amazonas lakes, Brazil - rainy and dry seasons 2021 - 2023
Matschullat, Jörg
Roeder, Eric
Adam, Sean Mark Peter
Lau, Maximilian
ALTITUDE; Amazonas, Brazil, South America; Amazon Basin; Annotation; Area/locality; Balbina_Reservoir; Caldeirao_Lake; Caldeirão Lake; Campaign; Carbon, total; Carbon and nitrogen and sulfur (CNS) element analyzer, Elementar, Vario EL Cube; Carbon mass; carbon - nitrogen - sulphur (CNS); climatological data; DATE/TIME; DEPTH, water; dissolved organic carbon (DOC); Event label; Grande_Lake; hydrographical profiles; Iranduba_Lake; Jandira_Lake; LATITUDE; LONGITUDE; major - minor - trace elements; Mass; MULT; Multiple investigations; Nitrogen, total; Nitrogen mass; physicochemical parameters; RoBiMo; Robotergestütztes Binnengewässer-Monitoring; Sample ID; Season; Seasonality; shallow tropical lakes; Water volume, filtered
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. Water samples from different depth were taken repetitively with a contamination-free sampler. These samples were treated onboard (membrane filtration, acidification for cations, cooling) and stored in ultrapure acid-cleaned HDPE containers. The membrane filters from the water samples were kept and later analyzed for carbon, nitrogen and sulphur (by elemental analysis, El Cube from Elementar).
title CNS filter residue data from Amazonas lakes, Brazil - rainy and dry seasons 2021 - 2023
topic ALTITUDE; Amazonas, Brazil, South America; Amazon Basin; Annotation; Area/locality; Balbina_Reservoir; Caldeirao_Lake; Caldeirão Lake; Campaign; Carbon, total; Carbon and nitrogen and sulfur (CNS) element analyzer, Elementar, Vario EL Cube; Carbon mass; carbon - nitrogen - sulphur (CNS); climatological data; DATE/TIME; DEPTH, water; dissolved organic carbon (DOC); Event label; Grande_Lake; hydrographical profiles; Iranduba_Lake; Jandira_Lake; LATITUDE; LONGITUDE; major - minor - trace elements; Mass; MULT; Multiple investigations; Nitrogen, total; Nitrogen mass; physicochemical parameters; RoBiMo; Robotergestütztes Binnengewässer-Monitoring; Sample ID; Season; Seasonality; shallow tropical lakes; Water volume, filtered
url https://doi.org/10.1594/PANGAEA.974318