BUSCADOR RECOLECTA

Dataset containing GC-MS raw analytical data (extracted ion chromatograms, not aligned) obtained and used by Torres-Cobos et al., (2024). Data correspond to the triacylglycerol fingerprint of 309 authentic and traceable hazelnut samples from various geographical origins and cultivars obtained in the framework of the TRACENUTS, PID2020-117701RB100. Briefly, data correspond to GC-MS scan intensities at each retention time from 1.6 to 38.6 min of the Extracte Ion Chromatograms of 16 triacylglycerol fragment ions: m/z 81, 107, 237, 239, 260, 262, 264, 265, 295, 311, 313, 323, 335, 337 and 339 (raw data, not baseline corrected, not normalized and not aligned). These data were aligned and used under a fingerprinting approach by Torres-Cobos et al.,. to develop classification model (PLS-DA approach) to verify the geographical origin and cultivar of hazelnuts.

Dataset containing GC-MS raw analytical data (extracted ion chromatograms, not aligned) obtained and used by Torres-Cobos et al., (2024). Data correspond to the unsaponifiable fraction fingerprints of 309 authentic and traceable hazelnut samples from various geographical origins and cultivars obtained in the framework of the TRACENUTS, PID2020-117701RB100. Briefly, data correspond to GC-MS scan intensities at each retention time of 15 ions that are characteristic of several compound families of the UF: m/z 57, 69, 73, 75, 81, 83, 93, 103, 117, 129, 189, 199, 204, 218 and 393 (raw data, not baseline corrected, not normalized and not aligned). These data were aligned and used under a fingerprinting approach by Torres-Cobos et al.,. to develop classification models (PLS-DA approach) to verify the geographical origin and cultivar of hazelnuts.

This dataset includes experimental data from lab-scale oxygen-balanced mixotrophic experiments in a stirred-tank cylindrical photobioreactor under chemostat and repeated bath modes. The experiments were conducted with the species Galdieria sulphuraria and tested the productivity and biomass yield on substrate under optimal conditions and under simulated tubular photobioreactor conditions with 3 different retention times. Moreover, other parameters were also monitored along the experiments, including pigment content, protein content, C-phycocyanin content, quantum yield and the accumulation of coproporphyrin III in the supernatant. Glucose supply was controlled by changes in the DO signal. The aim of these experiments was to study the performance of oxygen-balanced mixotrophy under both optimized lab conditions and compare it to limiting industrial conditions. Comparisons focused on biomass productivity, biomass yield on substrate and also stress markers. In addition, protein content under optimized conditions was also analyzed to determine the suitability of the species and the process for protein production. All the experiments where led by Pedro Moñino Fernández with the occasional collaboration of other group members and supervised by Marcel Janssen and Maria Barbosa. The experiments were carried out at the chair group of Bioprocess Engineering at Wageningen University & Research during 2020 and 2021.

Gastrointestinal, metabolic, and nutritional disorders represent significant health challenges globally, affecting a large portion of the population and demanding effective therapeutic solutions. This dataset collects all the ethnobotanical information about medicinal plants recorded in the Catalan linguistic area for addressing gastrointestinal, metabolic and nutritional disorders and provides valuable information to integrate traditional practices with modern pharmacological approaches.

The UPC-LPWAN-1 dataset is a comprehensive collection of Sub-GHz Low-Power Wide-Area Network (LPWAN) signal recordings, meticulously curated to address the need for standardized datasets in the evaluation and comparison of machine learning models for system/signal classification. This dataset contains a diverse array of transmission schemes including both single Carrier and multi Carrier transmision modes of 802.15.4g-2020 (WiSUN), IEEE 802.15.4g-2012, IEEE 802.11ah (WiFi HaLow), LoRa and SigFox resulting in a total of 40 classes. For this purpose, multiple commercial boards and devices have been used, generating a wide range of signals that cover all possible configurations. UPC-LPWAN-1 is publicly available to the scientific community, offering both raw recordings that can be freely modified for various research purposes and a post-processed version ready to use and with a variety of signal-to-noise ratios. This dataset aims at playing a significant contribution to the field of LPWAN signal analysis.

From October 2020 to June 2021 the Surfing for Science project engaged volunteers to collect scientific samples on floating microplastics in nearshore waters of the NW Mediterranean Sea. The data presented here includes all data on particle counts, sizes, shapes, colors and chemical composition of the plastics found, including concentrations for each of the investigated locations. A subset of 285 particles were chemically identified to confirm the chemical identity of the particles found. Almost 25,000 plastics were identified and characterized and were mostly microplastics (< 5 mm in length). The results provide important support for trappping of microplastics in the nearshore, which is subject to seasonal variability associated to natural and anthopogenic forcing. The data presented here can be further integrated with other studies (e.g. modelling) to understand the sources, pathways and sinks of microplastics in the global ocean.

JMRUI2XML is a plugin for the jMRUI program for magnetic resonance spectroscopy (http://www.jmrui.eu/). The plugin was designed with two purposes in mind: 1) automating, to a certain degree, MRS processing, and 2) as a platform for outputting exchangeable data for its use in pattern recognition (but not limited to this). The plugin works with any kind of data that can be opened by jMRUI and outputs in XML format. In order to get the jMRUI2XML plug-in into your jMRUI, you just have to copy all the files found in the 'jars' folder (without the folder) provided, to the 'plugins' folder of jMRUI. The 'CanonicalXML' file can be used to load parameters in the plugin. The two zip archives contain basic scripts to read data into MATLAB and python.

El propósito de este conjunto de datos es compartir la encuesta aplicada a una comunidad de estudiantes y docentes, los resultados obtenidos a partir de ésta, el análisis descriptivo y los análisis estadísticos que se realizaron con estos datos y que dieron origen a un artículo científico.

Fecal fiber is a known nutritional indicator, and its monitoring has allowed the assessment of food availability, health status of individuals, and changes in environmental conditions. In this study, NIRS was applied to predict fiber content (NDF, ADF, ADL) in wild and domestic herbivore fecal samples. Samples were provided by several European research groups. Our results showed that an herbivore multispecies NIRS calibration can be used with high accuracy to assess fecal fiber contents. La fibra fecal es un indicador nutricional conocido y su seguimiento ha permitido evaluar la disponibilidad de alimentos, el estado de salud de los individuos y los cambios en las condiciones ambientales. En este estudio, se aplicó NIRS para predecir el contenido de fibra (FND, FAD, LAD) en muestras fecales de herbívoros domésticos y silvestres. Varios grupos de investigación europeos proporcionaron muestras. Nuestros resultados mostraron que una calibración NIRS de múltiples especies de herbívoros se puede utilizar con alta precisión para evaluar el contenido de la fibra fecal.

Ginseng extract (GE), ferulic acid (≥ 99%) (FA), and a fermented noni juice powder (FNJP), were investigated for their antioxidant and antimicrobial activities in vitro. For antioxidant analysis, the capacity of the three extracts (GE, FA and FNJP) to inhibit polyphenol oxidase from three vegetable matrices (potato, apple or mushroom) and the peroxidation prevention of three types fats (sunflower oil, olive oil and butter) were studied (AGRIMAX_IA_EXTRACTS_AOX_PPO_IRTA_05112021; AGRIMAX_IA_EXTRACTS_AOX_PEROX_IRTA_05112021). The extracts’ antimicrobial activity was studied on thirteen bacterial strains using the disk diffusion assay and the microdilution assay (AGRIMAX_IA_GE_AM_IRTA_05112021; AGRIMAX_IA_FA_AM_IRTA_05112021; AGRIMAX_IA_FNJP_AM_IRTA_05112021; AGRIMAX_IA_EXTRACTS_AM_MIC_IRTA_05112021.). The results obtained suggest the potential of GE, FA and FNJP for its further application in food industries. The data were obtained in the microbiology laboratory of IRTA Fruitcentre (Lleida, Catalonia). These data are the result of the average of 3 replicates (± standard deviation, sd) where the antioxidant and antimicrobial effect of ginseng extract (GE), ferulic acid (FA) and FNJP are studied. The results of this research are part of the AGRIMAX H2020 project.