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  • This dataseries investigates the thermal proteome of phytoplankton in response to acute and chronic temperature stress. It is comprised of three subseries: 1. Thermal proteome of Phaeodactylum tricornutum in response to gradual and chronic heat stress. 2. Thermal proteome of Synechococcus sp. in response to gradual and chronic heat stress, and 3. Thermal proteome of Synechocystis in response to gradual heat stress. To investigate the molecular underpinnings of gradual heat stress, we expose cultures to high temperature and follow changes in gene expression through time in comparison to optimal conditions. To understand how the thermal proteome response to chronic thermal stress, we acclimated cultures in steady state growth under optimal conditions and compared the protein expression to that under non-optimal conditions. This data is NERC-funded but not held by the EIDC. This data is archived in the PRIDE (Proteomics identification database).

  • Growth rate dataset - contains the responses of growth rates of 6 phytoplankton species, together and in pairs at 5 temperatures, 13 phosphate concentrations and with 3 replicates N.B: This data is NERC-funded but not held by the EIDC. This data is archived in Zenodo.org and can be accessed at at https://zenodo.org/record/1161963#.XK8E_KTTXcv Publication date: 27th March 2018

  • This dataseries investigates the thermal transcriptome of phytoplankton in response to acute and chronic temperature stress. It is comprised of three subseries: 1. Thermal transcriptome of Phaeodactylum tricornutum in response to gradual heat stress. 2. Thermal transcriptome of Phaeodactylum tricornutum in steady-state growth, and 3. Thermal transcriptome of Synechocystis in response to gradual heat stress. To investigate the molecular underpinnings of gradual heat stress, we expose cultures to high temperature and follow changes in gene expression through time (over a 12 hour period) in comparison to optimal conditions. To understand how the thermal transcriptome response to chronic thermal stress, we acclimated P. tricornutum in steady state growth under optimal conditions and compare the gene expression to that under sub-optimal and supra-optimal conditions. This data is NERC-funded but not held by the EIDC. This data is archived in the Gene Expression Omnibus (GEO) National Center Biotechnology Information (NCBI).