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Dades associades a l' article publicat: Cefalì,M.E., Ballesteros, E., Riera, J.L., Chappuis, E., Terradas, M., Mariani, S., i Cebrian, E. (2018). The optimal sampling design for littoral habitats modelling: a case study from the north-western Mediterranean. PLoS ONE, vol. 13, núm. 5, p. e0197234. Disponible a https://doi.org/10.1371/journal.pone.0197234, Spatial distribution of six coastal habitats of red algae on the Catalan coast, significantly influenced by environmental variables. The red algae mentioned in the database are: Rissoella verruculosa, Lithophyllum byssoides /Lithophyllum byssoides rims ("Trottoir"), Neogoniolithon brassica-florida, Hildenbrandia rubra /Phymatolithon lenormandi and Cystoseira mediterranea. Data on littoral habitat distribution and environmental variables were collected along the whole coast of Catalonia (North-Western Mediterranean between 3º 10' 28.072" E, 42º 26' 17.619" N and 0º 30' 57.001" E, 40º 31' 26.302" N), The file called 'Full data base' contains for each point, the projected coordinates, the environmental variables and the presence/absence (1/0) of each habitat. Slope code: 1 = 0º-10.8º; 2 = 10.8º-22.8º; 3 = 22.8º-45.1º; 4 = 45.1º-68.2º; 5 = 68.2º-87.8º. Habitats code: Riv = Rissoella verruculosa; Lby = Lithophyllum byssoides; Tro = Lithophyllum byssoides rims ("Trottoir”); Neo = Neogoniolithon brassica-florida; Hph = Hildenbrandia rubra/ Phymatolithon lenormandi.\nTables A-F contain results of logistic regression models. Results of logistic regression models for all sampling strategy designs are presented for each habitat and for all sample sizes. For training data, the number (N) and frequency (F) of the habitat occurrence are presented. Results of null models are shown with the mead and standard deviation of the 10 models calculated. The D2 is the Deviance of the model in the training data; AUC is the area under the receiver operating characteristic (ROC) curve, se and spe are the sensitivity and specificity respectively, for the predictive model in the test data

Dades primàries associades a l'article publicat: Garrabou, J., Gómez Gras, D., Ledoux, J.B. [et.al]. Collaborative Database to Track Mass Mortality Events in the Mediterranean Sea. Frontiers in Marine Science, 2019, vol. 6 art. núm. 707. Disponible a https://doi.org/10.3389/fmars.2019.00707, The data compiled in the MME-T-MEDNet dataset was gathered from published scientific papers, grey literature and technical reports using different searching strategies in ISI Web of Knowledge and Google Scholar using different sets of keywords (including those used in Rivetti et al. 2014 and Marba et al. 2015) as well as through contacts with researchers across the Mediterranean. The dataset comprises mass mortality events impacts observed at discrete events generally related to warming episodes across the Mediterranean. The dataset provides information about the year, season, geographic coordinates, protection status of the geographic location, species phylum, species name, the degree of mortality impact, depth range of the mortality and reported biotic and abiotic mortality drivers of the event, The Mass Mortality Events (MME-T-MEDNet) dataset compiles information reported on mass mortality events of species in the Mediterranean Sea affecting different organism dwelling in coastal ecosystems, We acknowledge the financial support by the Prince Albert II de Monaco Foundation (MIMOSA project nº 1983) and the project MPA-ADAPT funded by Interreg MED program (European Regional Development Fund)