Seawater carbonate chemistry and Pseudo-nitzschia australis growth and toxicity

DOI

To gain a better understanding of what drives Pseudo-nitzschia australis growth and toxicity during upwelling and marine heatwave events, multiple-driver scenario or 'cluster' experiments were conducted using temperature, pCO2, and nutrient levels reflecting conditions during upwelling (13 ◦C, 900 ppm pCO2, replete nutrients) and two intensities of marine heatwaves (19 ◦C or 20.5 ◦C, 250 ppm pCO2, reduced macronutrients). We also conducted single-driver experiments to gain a mechanisticunderstanding of which drivers most impact P. australis growth and toxicity.

In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-04-03.

Identifier
DOI https://doi.org/10.1594/PANGAEA.967107
Related Identifier References https://doi.org/10.1016/j.hal.2023.102467
Related Identifier IsDerivedFrom https://doi.org/10.26008/1912/BCO-DMO.906949.1
Related Identifier IsDerivedFrom https://doi.org/10.26008/1912/BCO-DMO.906938.1
Related Identifier IsDerivedFrom https://doi.org/10.26008/1912/BCO-DMO.906858.1
Related Identifier IsDerivedFrom https://doi.org/10.26008/1912/BCO-DMO.906927.1
Related Identifier References https://cran.r-project.org/web/packages/seacarb/index.html
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.967107
Provenance
Creator Kelly, Kyla J; Mansour, Amjad; Liang, Chen; Kim, Andrew M; Mancini, Lily A; Bertin, Matthew J; Jenkins, Bethany D; Hutchins, David A (ORCID: 0000-0002-6637-756X); Fu, Feixue
Publisher PANGAEA
Contributor Yang, Yan
Publication Year 2024
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 867 data points
Discipline Immunology; Life Sciences; Medicine; Microbiology, Virology and Immunology