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11 results for “gilthead seabream”
MedAID_Key performance indicators for gilthead seabream on-growing under summer temperatures
<p>This data set contains the results from a nutritional trial performed at the Centre of Marine Sciences of Algarve (CCMAR, Faro, Portugal) within the framework of WP2 of the MedAID project (Mediterranean Aquaculture Integrated Development, Horizon 2020, GA number 727315). This experiment evaluated the impacts of protein to lipid ratios in low fishmeal/fish oil diets on key performance indicators of gilthead seabream (<em>Sparus aurata</em>, initial weight: 100 g ± 7 g) on-grown during summer temperature conditions. For further information on experimental conditions, please refer to the publication: “Aragão C., Cabano M., Colen R., Teodósio R., Gisbert E., Dias J. and Engrola S., 2022. Modulation of dietary protein to lipid ratios for gilthead seabream on-growing during summer temperature conditions. Aquaculture Reports, 25: 101262. doi:10.1016/j.aqrep.2022.101262”. In addition to properly cite this dataset, it would be appreciated that when using this dataset in a publication the original publication is cited.</p>
MedAID_Key performance indicators for gilthead seabream reared under low temperature
<p>This data set contains the results from a nutritional trial performed at the Centre of Marine Sciences of Algarve (CCMAR, Faro, Portugal) within the framework of WP2 of the MedAID project (Mediterranean Aquaculture Integrated Development, Horizon 2020, GA number 727315). This experiment impacts aimed to evaluate growth performance, feed utilisation, nutrient digestibility and nitrogen losses to the environment in gilthead seabream juveniles (<em>Sparus aurata</em>, initial weight: ± 154.5 g) reared under low temperature (~13°C). Three diets were tested: a commercial-like diet (COM), containing 44% crude protein and 27.5% fishmeal, and two experimental diets with a lower protein content of 42% (ECO and ECOSup). In both ECO diets fishmeal inclusion was reduced (10% in ECO and 7.5% in ECOSup diet) and 15% poultry meal was included. Additionally, the ECOSup diet was supplemented with a mix of feed additives intended to promote fish growth performance and feed intake. For further information on experimental conditions, please refer to the publication: “Teodósio R., Aragão C., Colen R., Carrilho R., Dias J. and Engrola S., 2021. A nutritional strategy to promote gilthead seabream performance under low temperatures. Aquaculture 537: 736494. doi:10.1016/j.aquaculture.2021.736494”. In addition to properly citing this dataset, it would be appreciated that when using this dataset in a publication the original publication is cited.</p>
Data and code for Haberle, Hackenberger et al.: Effects of climate change on gilthead seabream aquaculture in the Mediterranean
<p>The submission was prepared to accompany the publication Haberle, Hackenberger et al. "Effects of climate change on gilthead seabream aquaculture in the Mediterranean" in Aquaculture (https://doi.org/10.1016/j.aquaculture.2023.740052).</p> <p>The simulations source code is available through GitHub repository at:<br> https://github.com/QuantEcoLab/SparusSim_Haberle_et_al_2023</p> <p>The Zanodo archive contains GeoTIFF images underlying the figures in the publication, with the corresponding description in the Readme file.</p>
A stratified compartmental model for the transmission of Sparicotyle chrysophrii (Platyhelminthes: Monogenea) in gilthead seabream (Sparus aurata) fish farms
<p>This repository hosts data and model codes of the paper:</p> <p>"A stratified compartmental model for the transmission of Sparicotyle chrysophrii (Platyhelminthes: Monogenea) in gilthead seabream (Sparus aurata) fish farms" <br> by Stella et al., Royal Society Open Science, 2023. doi:https://doi.org/10.1098/rsos.221377</p> <p>Programming Language: MatLab</p> <p>The code has been tested on Matlab R2019b.</p> <p>Run the Main_Sparicotyle.m file code to reproduce Figures 2, 3, and 5 to 9 of the paper. </p> <p> </p>
Data from: Using an integral projection model to assess the effect of temperature on the growth of gilthead seabream Sparus aurata
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Comparison of gene expression profile of gilthead seabream mineralization-induced VSa13 cells against controls
GEO Series GSE18915. Sparus aurata. 6 samples. Type: Expression profiling by array.
Comparison of gene expression profile of gilthead seabream mineralization-induced VSa16 cells against controls
GEO Series GSE18941. Sparus aurata. 6 samples. Type: Expression profiling by array.
Transcriptomic response of skeletal muscle to lipopolysaccharide in the gilthead seabream (Sparus aurata)
GEO Series GSE36339. Oncorhynchus mykiss; Sparus aurata. 8 samples. Type: Expression profiling by array.
Phytogenics from sage and lemon verbena promote innate immunity and barrier function in the gut of gilthead seabream (Sparus aurata)
GEO Series GSE166558. Sparus aurata. 6 samples. Type: Expression profiling by array.
Real-time quantitative PCR analysis of intestine of gilthead seabream
GEO Series GSE289127. Sparus aurata. 5 samples. Type: Expression profiling by RT-PCR.
Gilthead seabream pathogen exposure to Enteromyxum leei
GEO Series GSE20619. Sparus aurata; Enteromyxum leei. 58 samples. Type: Expression profiling by array.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.