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Data exploring the effects of food availability on growth of sea bass reared under environmental stressors of ocean acidification and warming

dataset
posted on 2020-01-07, 12:26 authored by Louise Cominassi, Marta Moyano, Guy Claireaux, Sarah Howald, Felix Christopher Mark, José-Luis Zambonino-Infante, Myron A Peck
This dataset contains four Excel .xlsx spreadsheets of measurements relating to the combined effects of food availability, ocean acidification and ocean warming (OAW) on fish growth.

Fish (sea bass, Dicentrarchus labrax) were reared in four treatment groups, defined by water temparatures of 15°C or 20°C and concentration of carbon dioxide (PCO2) of 650 µatm (ambient acidification) or 1750 µatm (high acidification), all under ad libitum feeding. Following this, feeding trials were performed with ad libitum and 25% of ad libitum rations at ambient and elevated (+1100 µatm) levels of PCO2.

Details of the four spreadsheets are as follows:
- Data_Daily Food.xlsx: Mass (g) of food distributed per tank per day during the feeding trial. Abbreviations: AL, ad libitum; 25AL, 25% ad libitum; Tot_fish, Total number of the fish in the tank.
- Data_Enzymes.xlsx: Values of total and specific activities of trypsin, phosphatase alkaline (PA), amylase and aminopeptidase N (LAP) measured on randomly selected fish. Abbreviations: AL, ad libitum; 25AL, 25% ad libitum; bb, Brush border; scrap, Scrapping.
- Data_Mass.xlsx: Individual mass of the fish at the beginning and the end of the feeding trial. Abbreviations: AL, ad libitum; 25AL, 25% ad libitum; Fish_nber, Fish number; Mass_1, Initial mass; Mass_2, Final Mass.
- Data_Stomach pH.xlsx: pH values of the stomach of randomly selected fish, measured post feeding, using a pH sensor. Abbreviations: AL, ad libitum; 25AL, 25% ad libitum; Fish_nber, Fish number.

The related publication aimed to determine whether the provision of ad libitum rations may provide ample energy to organisms in multiple stressor environments, thereby allowing them to compensate for potential negative impact of sub-optimal levels due to the stressors (in this case, temperature and/or PCO2) on energy acquisition, dissipation and allocation.

Funding

This work was funded by the FITNESS project (Deutsche Forschungemeinschaft, 578 http://www.dfg.de/en/, PE 1157/8-1, MA 4271/3-1).

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