©2020 Biological and Chemical Oceanography Data Management Office.Funded by the U.S. National Science Foundation
©2020 Biological and Chemical Oceanography Data Management Office.This dataset includes time-series at 10-minute sampling interval of pH and temperature in each Ulva lactuca culture pot grown at 15° C and various CO2 levels during trials 3 and 4 (May 30 through July 2015). Data for trial 2 were lost.
This dataset includes time-series at 10-minute sampling interval of pH and temperature in each Ulva lactuca culture pot grown at 15° C and various CO2 levels during trials 3 and 4 (May 30 through July 2015). Data for trial 2 were lost.
Related Datasets:
Ulva: Carbonate chemistry pCO2: Carbonate chemistry of Ulva lactuca culture pots testing the effects of pCO2 variability (Seaweed OA Resilience project)
Ulva: Chl a: Chlorophyll a per unit biomass in Ulva lactuca under ocean acidification (OA) conditions (Seaweed OA Resilience project)
Ulva: CHN and stable isotopes: Stable isotope ratios and mass of carbon and nitrogen in Ulva cells under ocean acidification conditions (Seaweed OA Resilience project)
Ulva: Growth: Growth rates of Ulva exposed to different average and variability of pCO2 (Seaweed OA Resilience project)
Ulva: pH Drift: Carbonate chemistry over a time course with Ulva in pH drift experiments (Seaweed OA Resilience project)
Ulva: Photosynthesis and respiration: Rates of photosynthesis and respiration by Ulva exposed to different average and variability of pCO2 (Seaweed OA Resilience project)
Ulva: seawater delta13C: Stable isotope ratio and concentration of carbon in seawater from Ulva OA experiments (Seaweed OA Resilience project)
Kubler, J., Dudgeon, S. (2018) Time-series at 10 minute sampling interval of pH and temperature in Ulva culture pots (Seaweed OA Resilience project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-03-22 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.732493.1 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.