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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 associades a l' article publicat: Pérez-Losada, J. & Fort, J. (2018). A serial founder effect model of phonemic diversity based on phonemic loss in low-density populations. PLoS ONE, vol. 13, núm. 6, p. e0198346. Disponible a https://doi.org/10.1371/journal.pone.0198346, The zip file contains the following documents and files: - S1 Text: Supplementary results in DOCX, available at https://doi.org/10.1371/journal.pone.0198346.s001. This document contains different graphic simulations that complement the results mentioned in the published article. Graphics have been calculated from the data collected in the "Language database".

- S1 Database in XLSX available at https://doi.org/10.1371/journal.pone.0198346.s002. It is the Language database that contains the list of phonemes for 359 languages. For each language are provided the number of phonemes and the distance from the origin of the out-of-Africa. For these 359 languages, 908 different phonemes have been found. First, all languages ​​in the dataset were coded in strings of "1" and "0". This leads to a "full" matrix of 359 rows (languages) x 908 columns (phonemes). The presence of a phoneme is marked with a "1" in the corresponding position. The absence of a given phoneme is marked with a "0". Data from this database are used to generate the observed phonetic cline and the simulated phonemic cline, explained in the published article. - Two programs in FORTRAN to carry out the numerical simulations based on the data collected in the Language database (S1): S1 Software is the SFE with phonemic loss program, available at https://doi.org/10.1371/journal.pone.0198346.s003 (ZIP) and S2 Software is the program to compute diversity tF of languages at given distance intervals, available at https://doi.org/10.1371/journal.pone.0198346.s004 (ZIP), It has been observed that the number of phonemes in languages in use today tends to decrease with increasing distance from Africa. A previous formal model has recently reproduced the observed cline, but under two strong assumptions. Here we tackle the question of whether an alternative explanation for the worldwide phonemic cline is possible, by using alternative assumptions. The answer is affirmative. We show this by formalizing a proposal, following Atkinson, that this pattern may be due to a repeated bottleneck effect and phonemic loss. In our simulations, low-density populations lose phonemes during the Out-of-Africa dispersal of modern humans. Our results reproduce the observed global cline for the number of phonemes. In addition, we also detect a cline of phonemic diversity and reproduce it using our simulation model. We suggest how future work could determine whether the previous model or the new one (or even a combination of them) is valid. Simulations also show that the clines can still be present even 300 kyr after the Out-of-Africa dispersal, which is contrary to some previous claims which were not supported by numerical simulations​

Dades associades a l'article publicat: Oliveras, À., Baró, A., Montesinos, L., Badosa, E., Montesinos, E., Feliu, L., i Planas, M. (2018). Antimicrobial activity of linear lipopeptides derived from BP100 towards plant pathogens. PLoS ONE, vol. 13, núm. 7, p. e0201571. Disponible a https://doi.org/10.1371/journal.pone.0201571, Table A contains antimicrobial activity (MIC) of the linear lipopeptides against six plant pathogenic bacteria and two fungi. Table B contains Hemolytic activity of the linear lipopeptides. S1 File also includes the synthesis and characterization of the lipopeptides