BUSCADOR RECOLECTA

In this scoping review we searched primary studies in the 3 principal health databases: PubMed by National Centre by Biotechnology Information (NCBI), PsychINFO by ProQuest and Web of Science by Clarivate. The search strategy followed the Peer Review of Electronic Search Strategies (PRESS) (McGowan et al., 2016) and PRISMA for Searching (PRISMA-S) guidelines (Rethlefsen et al., 2021). It consisted of two groups of search terms referring to a) healthy lifestyle, and b) machine learning. We also added a third group of terms preceded by the boolean operator NOT to improve the specificity of the search strategy. The research was applied in January 2023, being restricted only by language (English and Spanish), with no restriction placed by years of publication.

Acceptability is one of the General Language Understanding Evaluation Benchmark (GLUE) probing tasks proposed to assess the linguistic capabilities acquired by a deep-learning transformer-based language model (LM). In this paper, we introduce the Spanish Corpus of Linguistic Acceptability EsCoLA. EsCoLA has been developed following the example of other linguistic acceptability data sets for English, Italian, Norwegian or Russian, with the aim of having a complete GLUE benchmark for Spanish. EsCoLA consists of 11,174 sentences and their acceptability judgements as found in well-known Spanish reference grammars. Additionally, all sentences have been annotated with the class of linguistic phenomenon the sentence is an example of, also following previous practices. We also provide as task baselines the results of fine-tuning four different language models with this data set and the results of a human annotation experiment. The results are also analyzed and commented to guide future research.

The dataset presented here includes four .csv files with primary archaeobotanical, large mammal bone, mollusc and fish remains data, recovered during the PALAP project at Palaikastro, east Crete, Greece, between 2013 and 2015. The data describe bioarchaeological remains from the south-east sector of the Bronze Age town at Palaikastro, recovered with systematic sampling and employing flotation, dry-sieving and hand collection. All remains were identified and quantified using established methodologies and were then stored at the premises of the British School at Athens in Crete (Ayios Antonios centre, Palaikastro). The dataset will be of use to archaeologists working in the Aegean and beyond and can contribute to key debates related to the Bronze Age, such as the emergence and economic organisation of urban centres.

Raw data, transformed data and R script used in: Lancelotti, C. 2018. Not all that burns is wood. A social perspective on fuel exploitation and use during the Indus urban period (2600-1900 BC). PLoS One. 2018; 13(3): e0192364. doi: 10.1371/journal.pone.0192364

Datos de apoyo a la investigación sobre la evolución de la internacionalización en la Facultat d’Informàtica de Barcelona (FIB) de la Universitat Politècnica de Catalunya. (UPC). Se incluyen datos sobre la actividad académica, de movilidad y sobre acciones de promoción de la internacionalización de la FIB y la UPC., Data used as support for research on the evolution of internationalization of the Faculty of Informatics of Barcelona (FIB) of Universitat Politècnica de Catalunya (UPC). Data on the academic activity, mobility and on actions to promote the internationalization of the FIB and the UPC are included.

The Genetic diversity of marine habitat-forming species database gathers information on genetic diversity estimates obtained from microsatellites, considering seven different taxa (bryozoan, hexacoral, hydrozoa, octocoral, seagrass, seaweed, and sponge).
Database collection
A literature survey was conducted on the 28th of October 2019 on the ISI Web of Science using different search strategies combining the word “microsatellite” and the following different keywords: “bryozoan”, “coral”, “eelgrass”, “fucoid”, “gorgonian”, “kelp”, “macroalgae”, “octocoral”, “porifera”, “seagrass”, “seaweed”, “sponge”. We selected 264 from a total of 809 publications, filtering the land and freshwater records, as well as the publications that do not analyse marine habitat-forming species, genetic data, the publications that do not use microsatellites to estimate genetic diversity or the publications analysing farm samples (i.e. non-wild populations). Moreover, publications which did not specify coordinates neither in the publication nor in the supporting information were also removed from the database.
Database processing
One database record corresponds to one local population - considered as a group of colonies, specimens, or individuals of the same species - in a specific geographic location defined by latitude and longitude coordinates and by a depth range. For each record or population, the following information is provided: Species name, Latitude and Longitude in World Geodesic System 1984 (WGS 84), Loci, Number of samples (N_samples), Number of Individuals (N_individuals), Number of alleles (Na), Observed heterozygosity (Ho), Expected heterozygosity (He), FIS, and Allelic richness (Ar).
We added the variable “Taxa” (bryozoan, hexacoral, hydrozoan, octocoral, seagrass, seaweed, and sponge) in the database. We reviewed the non-accepted and wrongly named species extracted from the original publications by using theWorld Register of Marine Species (WoRMS) Taxon Match tool
All database records were assigned to a marine ecoregion (the smallest-scale units in the Marine Ecoregions of the World – MeoW – system) and to a marine province (the slightly large areas in MeoW which include one or more ecoregions) according to Spalding et al., (2007). They were spatially joined using the geographic coordinates of each database record and the polygon shapefile of each marine ecoregion and province, using the function getRegions of the R package "meowR" (Byrnes 2016). Thus, the variables "ECOREGION", "PROVINCE", and "REALM were included in the database.
We also added a Marine Protected Area (MPA) variable by using theProtected Planet database. We defined each database record as protected – record matching with the MPA status “Adopted”, “Designated”, and “Inscribed” – and not protected – record not matching with any MPA or matching with the MPA status “Proposed” or “Established”. Thus, we added the variable "MPA" (1 / 0 If the samples are from inside of Marine Protection Area or not according to the Protected Planted database). Moreover, we included variables related to each MPA description in Protected Planet (e.g. MPA Name, MPA Status, MPA year).
References
Byrnes, J. (2016). meowR: Marine Ecoregions of the World in R. R package version 0.6.2.
Spalding, M.D., Fox, H.E., Allen, G.R., Davidson, N., Ferdaña, Z.A., Finlayson, M., et al. (2007). Marine ecoregions of the world: A bioregionalization of coastal and shelf areas. Bioscience

Concentration of regulated pollutants, nutrients (ammonium, nitrate, phosphate) and total organic carbon (TOC) in eighty-nine sampling sites located in sixteen river basins throughout Catalonia (NE Spain), and information related to the sampling sites

Red leaf blotch (RLB) of almond, caused by the fungus Polystigma amygdalinum P.F. Cannon, is one of the most important leaf diseases affecting almond trees (Prunus dulcis (Mill.) D.A. Webb) in the Mediterranean basin and Middle East regions. From 2019 to 2021, airborne ascospores were monitored on a daily scale through Hirst-type air samplers in two almond orchards located in Lleida (NE Spain) and quantified through qPCR methods. In the same locations, red leaf blotch incidence and severity were evaluated weekly in 2021. Weather data (direct and derived variables) is also provided, from two automatic weather stations located near the almond orchards, for potential epidemiologic studies.

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This is the LMF version of the Apertium French dictionary. Monolingual dictionary for French was generated from the Apertium expanded lexicon of the fr-es pair system (French/Spanish). Apertium is a free/open-source machine translation platform, initially aimed at related-language pairs but recently expanded to deal with more divergent language pairs (such as English-Catalan). The platform provides: a language-independent machine translation engine; tools to manage the linguistic data necessary to build a machine translation system for a given language pair and linguistic data for a growing number of language pairs.