BUSCADOR RECOLECTA

This dataset introduces HESML V1R5 which is the fifth release of the Half-Edge Semantic Measures Library (HESML) detailed in [13]. HESML V1R5 is a linearly scalable and efficient Java software library of ontology-based semantic similarity measures and Information Content (IC) models for ontolgies like WordNet, SNOMED-CT, MeSH, GO and any other ontologies based on the OBO file format. HESML V1R5 implements most ontology-based semantic similarity measures and Information Content (IC) models reported in the literature, as well as the evaluation of three pre-trained word embedding models. It also provides a XML-based input file format in order to specify the execution of reproducible word/concept similarity experiments based on WordNet, SNOMED-CT, MeSH, or GO without software coding. HESML V1R5 introduces the following novelties: (1) the parsing and in-memory representation of the SNOMED-CT, MeSH and any other ontologies based on the OBO file format such as the Gene Ontology (GO); (2) a new collection of efficient path-based similarity measures based on the reformulation of previous path-based measures which are based on the new Ancestors-based Shortest-Path Length (AncSPL) algorithm; and (3) a collection of groupwise similarity measures. HESML library is freely distributed for any non-commercial purpose under a CC By-NC-SA-4.0 license, subject to the citing of the two mains HESML papers as attribution requirement. However, HESML distribution also includes other datasets, databases or data files whose use require the attribution acknowledgement by any user of HEMSL. Thus, we urge to the HESML users to fulfill with licensing terms related to other resources distributed with the library as detailed in its companion release notes.

The state of alarm due to COVID-19 in Spain led to limit dental treatment exclusively to emergencies. The objective of the survey was to evaluate the amount and type of emergencies attended during this period, as well as to know how they were solved and what measures were adopted to carry out dental care in these exceptional circumstances.

Número y valor de las primeras propiedades registradas con títulos posesorios y absolutos (1863-1944)

TheFireCCIproject is part of the European Space Agency's (ESA)Climate Change Initiative(CCI) programme. The project focuses on theFire Disturbance Essential Climate Variable(ECV) and specifically on 'Burned Area' (BA) products. The main objective of the FireCCI project is the development and improvement of the burned area detection algorithms, including the product validation protocols. The FireCCI project has developed several global BA products: FireCCI31 and FireCCI41 based on MERIS data, FireCCI50 and the last version FireCCI51 based on MODIS data at 250 m spatial resolution (Chuvieco, et al., 2018; Lizundia-Loiola, et al., 2020). In addition, high resolution BA products have been produced for regional or continental scale (e.g. FireCCISFD11 (Roteta, et al., 2019) based on Sentinel-2 data, for Sub-Saharan Africa at 20 m spatial resolution, and FireCCIS1SA10 (Belenguer-Plomer, et al., 2019) derived from Sentinel-1 for 2017 for the Amazon basin in South America). Moreover, the FireCCI project has promoted the research on BA validation methodologies generating statistically rigorous protocols to implement the accuracy assessment of BA product according theCEOS LPVS stage 3validation requeriments (Padilla, et al., 2014; 2015; 2017). As a result of this research and the BA product validation activities, several global and regional burned area reference datasets were generated and compiled to create a Burned Area Reference Database (BARD) for validation. Contributions from other international projects and researches asCONUS Landsat Burned Area, andNOFFI, have significantly increased the BARD database.

La presente base de datos muestra los resultados de las seis variables diseñadas para la investigación mencionada, para cada una de las páginas webs de los grupos de investigación de la comunicación detectadas en España.

In this study, we analyzed the effects of invasion by four exotic species with different life strategies on the climatic niche of a plant community located in a coastal area of southwestern Spain. We used ordination methods and examined the community species composition. There was an almost complete overlap in the community ensemble niches between non-invaded and invaded plots for the four invaders. However, the community ensemble niches differed depending on the invasive species and were related to differences in community species similarity between non-invaded and invaded plots. Species assemblages in coastal vegetation did not change their community ensemble climatic niches after invasion by plants with contrasted life-forms. This pattern is likely the result of invasion which did not trigger major changes in species richness and composition, or alternatively because the species that were locally displaced by invasion have been substituted by others with similar climatic requirements.

Semantic Textual Similarity (also known as Semantic Short-text Similarity) is a research problem that aims to calculate the similarity among text units (phrases, sentences, paragraphs or texts) focusing on the semantic content. The importance of Semantic Similarity in Natural Language Processing has increased in the last years due to its relevance in many tasks and applications, such as Automatic Summarization, Machine Translation, Question Answering or Semantic Indexing. UB-NER is a self-contained Java software library for benchmarking state-of-the-art STS measures in the biomedical domain. It allows to define and execute a set of experiments combining different measures and preprocessing methods. This dataset contains the reproducibility framework and dependencies, whose aim is to allow the exact replication of unsupervised named entity recognition experiment in the biomedical domain as detailed in "ReproductionProtocol.pdf" file.

This dataset contains the MATLAB code used to implement the dynamic spherical cavity expansion model developed in dos Santos et al.

This dataset contains the VUMAT subroutines coded to implement in the finite element code ABAQUS the constitutive model of Hill (1948). They have been used to perform finite element simultations reported in the manuscript of N'souglo et al.

This dataset contains the VUMAT subroutine coded to implement into the finite element code ABAQUS/Explicit the constitutive model of Nixon et al. (2010). It has been used to perform all the finite element simultations reported in the paper of N'souglo et al. (2019). The constitutive model considers the anisotropy and the tension-compression asymmetry of the plastic response of hcp metals.