Sediment chemical data from Amazonas lakes, Brazil - rainy and dry seasons 2021 - 2023

DOI

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 sites in Amazonas state, Brazil. The lakes are Caldeirao and Jandira (blackwater), and Grande and Iranduba (whitewater), all on Iranduba peninsula to the WSW of Manaus. The two piscicultural sites are near the town of Rio Preto da Eva, NE from Manaus, and comprise various basins each with site 1 being used for raising young fish and site 2 for the production of edible fish.Sediment cores were taken once at profundal positions with a custom-built gravity corer, sliced in the field into 2.5 cm sections, and stored cool in PE-containers. Their subsequent analysis covered a similarly wide bandwidth of major, minor, and trace elements after drying, milling to analytical grade (<63 µm), determined by ICP-OES and ICP-QMS (as above, yet after full, multi-acid digestion), and by wavelength-dispersive XRF (S8 Tiger, Bruker) on glass-fusion discs (GFD) and pressed powder pellets (PPP). CNS was determined by elemental analysis (El Cube, Elementar).

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.974321
Related Identifier IsPartOf https://doi.pangaea.de/10.1594/PANGAEA.974323
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.974321
Provenance
Creator Matschullat, Jörg ORCID logo; Roeder, Eric; Adam, Sean Peter Mark; Lau, Maximilian
Publisher PANGAEA
Publication Year 2024
Funding Reference Bundesministerium für Bildung und Forschung, Bonn https://doi.org/10.13039/501100002347 Crossref Funder ID FKZ 01DN21018 ; Deutsche Bundesstiftung Umwelt https://doi.org/10.13039/100007636 Crossref Funder ID Az 36095/01
Rights Creative Commons Attribution 4.0 International; Data access is restricted (moratorium, sensitive data, license constraints); https://creativecommons.org/licenses/by/4.0/
OpenAccess false
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 3160 data points
Discipline Earth System Research
Spatial Coverage (-60.301W, -3.292S, -59.461E, -1.904N); Amazonas, Brazil, South America