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This resource contains raw experimental data and R scripts generated during the evaluation of protective formulations for freeze-drying preservation of Latilactobacillus sakei subsp. sakei ACU-2, an autochthonous meat st...

Este conjunto de datos contiene mediciones instrumentales de color en el espacio CIELab (coordenadas L*, a*, b*) obtenidas de cerezas (Prunus avium) sometidas a tratamientos de impregnación con soluciones hipertónicas ...

This dataset was generated through laboratory experiments designed to evaluate the desiccation resistance of mosquito eggs. Eggs of Aedes aegypti and Aedes albopictus were collected from field populations in northeastern...

An end-to-end methodology based on deep learning for the detection and localization of microcalcifications in digital mammograms introduces a novel methodology designed for the preprocessing and localization of clusters ...

The scientific literature on altmetrics published from 2005 to 2018 was analysed. The overall structure of the speciality's intellectual landscape is depicted through clusters of co-cited references, analysing journal an...

An updated metric developed to assess the degree of open data reusability, called MEtric for the evaLuation of Open DAta: Meloda 5 is presented. Previous version of the metric, Meloda 4, had six dimensions: the legal lic...

This paper introduces an automatic procedure to assist on the interpretation of a large dataset when a similarity metric is available. We propose a visualization approach based on a graph layout method- ology that uses ...

In this work we use the recently introduced PKNNG metric, associated with a simple Hierarchical Clustering (HC) method, to find accurate an stable solution for the clustering of gene expression datasets. On real world pr...

"La ecografía ha revolucionado el cuidado prenatal al proporcionar una herramienta no invasiva para evaluar el desarrollo fetal y detectar anomalías cromosómicas en el primer trimestre, como el síndrome de Down (tris...

Este trabajo tiene el objetivo de sumar una propuesta para la detección de casos atípicos. Es decir, detectar datos pertenecientes a una muestra que posean valores extremos que los diferencia del resto y permitan al i...

From the many different patterns that can be extracted from data, so-called emerging patterns (EPs) are a particular useful kind. EPs are itemsets whose supports increase significantly from one dataset to another. Existi...

Feature selection is a well-known pre-processing technique, commonly used with high-dimensional datasets. Its main goal is to discard useless or redundant variables, reducing the dimensionality of the input space, in ord...

This dataset comprises two complementary components designed to support the taxonomic identification and toxicological assessment of Gyromitra specimens from southern South America. The first component consists of a mole...

Se llama rendering de volúmenes al proceso mediante el cual se crea una imagen 2D a partir de un conjunto de valores en un espacio 3D. El conjunto de datos del espacio 3D se lo llama generalmente dataset mientras que a ...

"El estrés es un fenómeno que afecta a toda la población y que puede tener un impacto negativo en la salud si no es gestionado adecuadamente. Un monitoreo continuo del estrés implementado en sistemas portátiles podr...

The PAM clustering algorithm is applied on the Si6 keystroke dataset in order to identify sessions of the same users. A number of heuristical outlier lters based on statistical properties of keystroke latencies are prop...

When there is a need to understand the data stored in a database, one of the main requirements is being able to extract knowledge in the form of rules. Classification strategies allow extracting rules almost naturally. I...

Los repositorios institucionales son depósitos de archivos digitales de diferentes tipologías para accederlos, difundirlos y preservarlos. Este artículo tiene como propósito explicar la importancia de los repositorio...