Resultados de investigación

The data include the protein hydrolysates production results (weight yield, crude protein content, protein yield, total amino acids and amino acids yield), protein hydrolysates characterisation (molecular weight distribution, emulsifying capacity index and emulsion stability index).

The dataset contains measurements of growth rate, number of bud scars, and number of growth rings of 18 ramets belonging to three genets (i.e. 15, 44, 147) of the dwarf shrub Salix herbacea L., growing on top of Mount Prado (Italy).

Includes the experimental resume of the effect of soli-state fermentation of different agroindustrial by-products by Rhizopus oryzae. The data include the initial source, autoclaved source and fermented products results in production (crude protein content, protein yield, amino acids, total amino acids) and characterisation (antinutrients), protein fraction: characterisation (molecular weight distribution) functionality (emulsifying capacity index and emulsion stability index) and quality (in vitro protein digestibility, amino acid score and in vitro protein digestibility-corrected amino acid score).

A multi-environment dataset (height and survival at age 20) consisting of 123 populations of Pinus pinaster evaluated in 15 trials is presented. Four marker-based, previously defined neutral classifications along with two ad hoc climate-based categorizations are aslo included for the purpose of summarizing plasticity patterns in the species.

The AmodalAppleSize_RGB-D dataset comprises a collection of RGB-D apple tree images that can be used to train and test computer vision-based fruit detection and sizing methods. This dataset encompasses two distinct sets of data obtained from a Fuji and an Elstar apple orchards. The Fuji apple orchard sub-set consists of 3925 RGB-D images containing a total of 15335 apples annotated with both modal and amodal apple segmentation masks. Modal masks denote the visible portions of the apples, whereas amodal masks encompass both visible and occluded apple regions. Notably, this dataset is the first public resource to incorporate fruit amodal masks. This pioneering inclusion addresses a critical gap in existing datasets, enabling the development of robust automatic fruit sizing methods and accurate fruit visibility estimation, particularly in the presence of partial occlusions. Besides the fruit segmentation masks, the dataset also includes the fruit size (calliper) ground truth for each annotated apple. The second sub-set comprises 2731 RGB-D images capturing five Elstar apple trees at four distinct growth stages. This sub-set includes mean diameter information for each tree at every growth stage and serves as a valuable resource for evaluating fruit sizing methods trained with the first sub-set. The present data was employed in the research paper titled "Looking behind occlusions: a study on amodal segmentation for robust on-tree apple fruit size estimation".

Historical data on transport infrastructures are raising increasing interest due to their power to stimulate economic and social change. Bearing this in mind, this GIS database provides six files organized in two Shapefile formats, with three for the Spanish railway lines (wide, narrow and high-speed) and another three for railway stations, between 1848 and 2023.

This dataset contains data and R script for statistical analysis and graphics presented in the publication related to this data set (Amat et al 2023. XXXXX). The data cointained in this dataset correspond to the oviposition behaiviour of Lobesia botrana, Grapholita molesta and Cydia pomonella to five gustatori stimuli (Fructose, Sucrose, NaCl, KCl and Neem oil).

A high-throughput untargeted lipidomic analysis was applied in plasma samples of 213 subjects (20 controls, 89 mild cognitive impairment, 104 Alzhimer's disease). Age, sex, cognitive evaluation results and alzheimer's disease cerebrospinal fluid biomarkers were also included.

This study conducts research on deepfakes technology evolution and trends based on a bibliometric analysis of the articles published on this topic along with six research questions: What are the main research areas of the articles in deepfakes? What are the main current topics in deepfakes research and how are they related? Which are the trends in deepfakes research? How do topics in deepfakes research change over time? Who is researching deepfakes? Who is funding deepfakes research? We have found a total of 331 research articles about deepfakes in an analysis carried out on the Web of Science and Scopus databases. This data serves to provide a complete overview of deepfakes. Main insights include: different areas in which deepfakes research is being performed; which areas are the emerging ones, those that are considered basic, and those that currently have the most potential for development; most studied topics on deepfakes research, including the different artificial intelligence methods applied; emerging and niche topics; relationships among the most prominent researchers; the countries where deepfakes research is performed; main funding institutions. This paper identifies the current trends and opportunities in deepfakes research for practitioners and researchers who want to get into this topic.

We collected drone images using multispectral and RGB sensors for 56 adult populations of P. halepensis categorized into five ecotypes growing in two common gardens located in Spain under contrasting conditions (Zuera: dry-continental versus Altura: wet-coastal). In Zuera trial, we additionally monitored the temporal variation of RGB-derived indexes using two flights spaced over a one-month period (dataset VIs). We also performed four consecutive ground measurements of needle pigments and fuel moisture content (dataset insitu) and obtained litter flammability traits (dataset Litter_flammability) for a subset of populations.