Seawater carbonate chemistry and genomics variation of Arbacia lixula individuals living across a natural pH gradient in Canary Islands

DOI

Our study explores genomic signs of adaptation in A. lixula to different water pH conditions. To achieve this, we analysed the genomics variation of A. lixula individuals living across a natural pH gradient in Canary Islands, Spain. We use a 2b-RADseq protocol with 74 samples from sites with varying pH levels (from 7.3 to 7.9 during low tide) and included a control site.This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from Mendeley Data (see Source) by the OA-ICC data curator. 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 2024-11-28.

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.973723
Related Identifier References https://doi.org/10.1016/j.marpolbul.2024.117225
Related Identifier IsDerivedFrom https://doi.org/10.17632/9PHF69MT8D.1
Related Identifier References https://doi.org/10.5194/essd-2-167-2010
Related Identifier References https://doi.org/10.5194/essd-16-3771-2024
Related Identifier References https://doi.org/10.5194/essd-8-79-2016
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.973723
Provenance
Creator González-Delgado, Sara; Perez-Portela, Rocío; Ortega-Martínez, Olga; Alfonso, Beatriz; Pereyra, Ricardo T; Hernandez, Jose Carlos
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 1554 data points
Discipline Earth System Research
Spatial Coverage (-17.846W, 28.456S, -17.754E, 28.615N)
Temporal Coverage Begin 2018-12-01T00:00:00Z
Temporal Coverage End 2018-12-31T00:00:00Z