BUSCADOR RECOLECTA

Base de datos de peces de fondos rocosos utilizando diferentes métodos de censo visual en 5 reservas marinas del Mediterráneo occidental, que forman parte del trabajo de tesis doctoral de la primera autora, y utilizados en el artículo "Detection of protection benefits on predatory fishes depends on the census methodology adopted", Este estudio ha sido financiado por los proyectos: “Mecanismos de REcuperación de DEpredadores apicales en áreas marinas protegidas MEDiterráneas (REDEMED)” Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Ministerio de Economía y Competitividad - CGL2013-49039-R y “Abundancia, selección de hábitat, síndromes de comportamiento y pautas de conectividad en depredadores apicales marinos mediterráneos (ABHACO2DE)” Fundación Séneca 19516/PI/14

Datos de abundancia y biomasa de peces en arrecifes rocosos de la reserva marina de Cabo de Palos - Islas Hormigas, obtenidos mediante. censos de peces en inmersión con escafandra autónoma, durante el periodo 1996-2018

The association between stress and immune response activations in different diseases has been analyzed in this paper based on salivary analytics. Moreover, a first attempt to discriminate between diseases was performed by machine learning. The salivary analytics consisted of the measurement of physical (cortisol) and psychological stress (salivary alpha-amylase) indicators, innate (acute phase proteins: C-reactive protein and haptoglobin), and adaptive immune (adenosine deaminase, Cu and Zn) markers and oxidative stress parameters (antioxidant capacity and oxidative status). A total of 107 commercial growing pigs in the field were divided into six groups according to the signs of disease after proper veterinary clinical examination, specifically, healthy pigs, pigs with rectal prolapse, tail-biting, diarrhea, lameness or dyspnea. Associations between stress and immune markers were observed with different intensities. The higher associations (r = 0.61) were observed between oxidative stress markers and adaptive immune markers. On the other hand, moderate associations (r = 0.31-0.48) between physical and psychological stress markers with both innate and adaptive immune markers were observed. All pathological conditions showed statistically significant differences in at least 4 out of the 11 salivary markers studied, with no individual marker dysregulated in all the diseases. Moreover, each disease condition showed differences in the degree of activation of the systems analyzed which could be used to create different salivary profiles. A total of two dimensions were selected according to the machine learning analysis to explain the 48,3% of the variance of our data. Lameness and prolapse were the two pathological conditions most distant from the healthy condition followed by dyspnea. Tail biting and diarrhea were also far from the other diseases but nearer healthy animals. There is still room for improvements, but these preliminary results showed a great power for disease detection and characterization using salivary biomarkers profiling in the near future.

Es un zip que incluye carpetas para los distintos objetivos del trabajo, en las cuales hay un archivo ".rds" que se lee con R., Bases de datos utilizadas para los análisis del artículo "Acoustic telemetry and accelerometers: a field comparison of different proxies for activity in the marine environment". Existen 5 bases de datos, una base de datos para los objetivos 1, 2 y 3, y dos bases de datos para el objetivo 4, correspondientes a las series temporales corta y larga descritas en el manuscrito.

Different cell lines (SAF-1, DLB-1, PLHC-1 and FuB-1) mitro stress (OCR and ECAR) raw data., Different cell lines (SAF-1, DLB-1, PLHC-1 and FuB-1) mitro stress (OCR and ECAR) raw data.