Resultados de investigación

This dataset is composed of the input files of the numerical model for simulating CO2 injection in deep volcanic areas. The file “GCS_volcanoes_gen.dat” contains the input data of the model, including material properties, initial and boundary conditions and the time intervals. The file “GCS_volcanoes_gri.dat” includes the information on the mesh. The “root.dat” includes the name of the model. To run the simulation, just execute the Code_Bright executable “Cb_v9_3.exe” in a folder that contains the three input files and the executable., This dataset is composed of the input files of the numerical model for simulating CO2 injection in deep volcanic areas. The file “GCS_volcanoes_gen.dat” contains the input data of the model, including material properties, initial and boundary conditions and the time intervals. The file “GCS_volcanoes_gri.dat” includes the information on the mesh. The “root.dat” includes the name of the model. To run the simulation, just execute the Code_Bright executable “Cb_v9_3.exe” in a folder that contains the three input files and the executable., Peer reviewed

The acquisition parameters of ESCI-Valencia Trough are: streamer 4500 m, 180 channels, group interval 25 m, sample rate 4 ms., The ESCI-Valencia Trough deep vertical reflection profile extends the crustal image of the ECORS-Pyrenees profile to the Mediterranean coast and provides a crustal transect of the NE Iberian margin. It is a 450 km lenght profile in a NW-SE direction between the Tarragona coast and the SE of Mallorca., Comisión Internacional de Ciencia y Tecnología (CICYT); GEO89-0858; GEO90-0733; PB86-0619; C91-0013.--, Peer reviewed

Data set supporting the results of the article "Local adaptation, natal experience, and the evolution of philopatry”. The readme file contains information about the header cells in the datasets. Questions should be addressed to Carlos Camacho (ccamacholmedo@gmail.com). This data set is subjected to a Creative Commons Attribution 4.0 International Licence., This data set includes measurements of breeding success for pied flycatchers stemming from a long-term (2006-2016, N = 951 individuals) cross-fostering experiment conducted in an oak forest (41°04'N 3°27'W) and a pine plantation (40°40'N 4°8'W) of central Spain. Further details of the experimental and field procedures are provided in the article, Peer reviewed

The data file contains data on Canary Island date palms Phoenix canariensis located in public gardens within Palma city and monitored between 2011 and 2017. We coded yearly observations on each palm (first seven columns on the excel file) into individual histories using the four following codes: 1 = palm tree apparently healthy (i.e. with no signs of weevil infestation); 2 = palm tree infested by red palm weevil and treated with a partial pruning (i.e. curative treatment); 3 = palm tree infested by red palm weevil and treated with a total cut (i.e. destructive treatment);0 = palm tree that no longer exist due to a destructive treatment applied the previous year. Columns 8 to 15 indicate the individual covariates used as linear predictors of infestation probabilities: the number of palms (P. canariensis and P. dactylifera) within a 500 m radius from each palm monitored. We sorted palms into public (“public”, i.e. those directly managed by the city council) and private (“priv”), differentiating in this last case between palms under the responsibility of other governmental entities (e.g. schools, namely “ent”) and those belonging to particular owners in private areas (e.g. hotels or other private gardens, namely “part”)., This dataset was used to analyze the infestation probabilities of Canary Island date palms by Red palm weevils., We acknowledge financial support through projects ‘Vicenç Mut’ PD/003/2016 and Ramón y Cajal RYC-2017- 22796., Peer reviewed

Dataset description: EXPERIMENTAL DATA folder "XRD data" containes the XRD patterns of all the samples presented in the manuscript folder "Magnetic data" containes the M(H) curves of all the samples presented in the manuscript measured at room temperature in a field range of � 5 T folder "TEM data" containes the TEM images of all the samples presented in the manuscript SIMULATED DATA prb_mzfo_fig10.png Microstructures used in the micromagnetic simulations. The volume fraction of the particle phase was set to 80% in all computations. The simulation volume approximately 300 � 300 � 300 nm^3 is constant in the simulations (mesh size: 4 nm). prb_mzfo_fig11.png Applied field dependence of the quantity |M|/M_s for different average particle sizes. ASCII data file for this data set is in "prb_mzfo_absm.dat", where the first column mu0H (mT) and the following ones are |M|/M_S for 14, 26, 38, 50, 62 and 74 nm crystallites systems correspondingly. Inset: Corresponding normalized magnetization curves. ASCII data file for this data set is in "prb_mzfo_mz.dat", where the first column mu0H (mT) and the following ones are M_z/M_s for 14, 26, 38, 50, 62 and 74 nm crystallites systems correspondingly. prb_mzfo_fig12.png Particle-size-dependent evolution of the parameter |M|/M_s for each magnetic particle as a function of the applied magnetic field. ASCII data file for this data set is in "prb_mzfo_absm14nmALLstep100.dat", "prb_mzfo_absm38nmALLstep5.dat" and "prb_mzfo_absm74nmALLstep1.dat" for for 14, 38, and 74 nm crystallites systems correspondingly. The first column mu0H (mT) and the following ones are |M|/M_s for every crystallite. Snapshots of spin structures at selected fields, where the largest deviations from the uniform magnetization state are observed., [EN] We report the results of an unpolarized small-angle neutron-scattering (SANS) study on Mn-Zn ferrite (MZFO) magnetic nanoparticles with the aim to elucidate the interplay between their particle size and the magnetization configuration. We study different samples of single-crystalline MZFO nanoparticles with average diameters ranging between 8 to 80 nm, and demonstrate that the smallest particles are homogeneously magnetized. However, with increasing nanoparticle size, we observe the transition from a uniform to a nonuniform magnetization state. Field-dependent results for the correlation function confirm that the internal spin disorder is suppressed with increasing field strength. The experimental SANS data are supported by the results of micromagnetic simulations, which confirm an increasing inhomogeneity of the magnetization profile of the nanoparticle with increasing size. The results presented demonstrate the unique ability of SANS to detect even very small deviations of the magnetization state from the homogeneous one., UE, programa H2020, Proyecto AMPHIBIAN n º 720853., Dataset description: >>> EXPERIMENTAL DATA folder "XRD data" containes the XRD patterns of all the samples presented in the manuscript folder "Magnetic data" containes the M(H) curves of all the samples presented in the manuscript measured at room temperature in a field range of � 5 T folder "TEM data" containes the TEM images of all the samples presented in the manuscript >>> SIMULATED DATA prb_mzfo_fig10.png Microstructures used in the micromagnetic simulations. The volume fraction of the particle phase was set to 80% in all computations. The simulation volume approximately 300 � 300 � 300 nm^3 is constant in the simulations (mesh size: 4 nm). prb_mzfo_fig11.png Applied field dependence of the quantity |M|/M_s for different average particle sizes. ASCII data file for this data set is in "prb_mzfo_absm.dat", where the first column mu0H (mT) and the following ones are |M|/M_S for 14, 26, 38, 50, 62 and 74 nm crystallites systems correspondingly. Inset: Corresponding normalized magnetization curves. ASCII data file for this data set is in "prb_mzfo_mz.dat", where the first column mu0H (mT) and the following ones are M_z/M_s for 14, 26, 38, 50, 62 and 74 nm crystallites systems correspondingly. prb_mzfo_fig12.png Particle-size-dependent evolution of the parameter |M|/M_s for each magnetic particle as a function of the applied magnetic field. ASCII data file for this data set is in "prb_mzfo_absm14nmALLstep100.dat", "prb_mzfo_absm38nmALLstep5.dat" and "prb_mzfo_absm74nmALLstep1.dat" for for 14, 38, and 74 nm crystallites systems correspondingly. The first column mu0H (mT) and the following ones are |M|/M_s for every crystallite. Snapshots of spin structures at selected fields, where the largest deviations from the uniform magnetization state are observed., Peer reviewed

Peer reviewed

Peer reviewed

UE, programa H2020, Proyecto AMPHIBIAN n º 720853., Peer reviewed

UE, programa H2020, Proyecto AMPHIBIAN n º 720853, Peer reviewed

The dataset reports 1) Bibliographic information of each original publication of exotic species impact; 2) number of replicates for controls and experimental treatments; 3) mean ± SD of control and experimental treatments; 4) Hedges’ g effect size and variation of impact; 5) Descriptive information of the recipient sites including latitude, longitude, depth; 6) Descriptive information of the study, including whether it was mensurative of manipulative in the field or laboratory, the level of organization of recorded impacts and the response variable; 7) Descriptive information of the exotic species, including species name, taxonomic group and trophic level; 8) Descriptive information on the recipient species, including taxonomic group and trophic level; 9) Thermal characterization of the recipient site; 10) Latitudinal and thermal characterization of the exotic species range of origin (RO); 11) Characterization of warming projections in the recipient site under RCP4.5 and RCP8.5 projections., Author contributions: S.B, J.S-G, N.M and C.M.D. conceived and designed the study. A.A., N.R.G., C.E.L., E.T.A., J.C., D.K-J., N.M., P.M., J.M.P., and J.S-G. constructed the exotic species impacts data set. S.B. and J.S-G., compiled the exotic species range-of-origin dataset and G.J. compiled and analyzed the observed and projected ocean temperature data. S.B. and J.S-G performed the data analyses with contributions from all coauthors., Here we provide data on the ecological impacts of exotic marine species on recipient native ecosystems and characterise the thermal niche of both the recipient sites and each exotic species range of origin (RO). In addition, we provide the summertime warming trajectories of the recipient sites under RCP4.5 and RCP8.5 emission scenarios. Together, this dataset characterises the ecological impacts of exotic marine species and the climatic context under which these impacts occur. Overall this database represents 108 studies that have measured impacts of exotic species on recipient marine ecosystems where they were introduced, encompassing 748 observations from 80 sites and 50 species, ranging from primary producers (e.g. seagrass, macroalgae) to predators (e.g. fish, crustaceans, annelids)., S.B. received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 659246. S.B., J.S-G and N.M. received funding from the Spanish Ministry of Economy, Industry and Competitiveness (MedShift, CGL2015-71809-P) and Fundación BBVA (project Interbioclima). J.M.P. received funding from the Australian Research Council Centre of Excellence for Coral Reef Studies (CE140100020). D.K.-J. received funding from the Independent Research Fund Denmark (CARMA; 8021-00222B)., Peer reviewed