Resultados de investigación

This dataset provides the full raw, curated, processed and analysed data from the project "Verd de proximitat BCN", where four green roofs are monitored with environmental and surface temperature sensors.

The data reported in the dataset refer to the number of captures of Platypus cylindrus F. (Coleoptera, Curculionidae, Platypodinae) in six plots of Quercus suber L. located in Catalonia. The database includes micrometeorological data of each sampling plot.

The data reported in the dataset refer to the quantification of fungal propagules of Diplodia corticola Phillips, Alves & Luque carried by the ambrosia beetle Platypus cylindrus F. in six plots of Quercus suber L. located in Catalonia (Spain)

This dataset contains information on the 300 largest cooperatives worldwide, as reported by the World Cooperative Monitor (WCM). The data is sourced from the WCM annual reports, published by the International Cooperative Alliance (ICA) with the support of the European Research Institute on Cooperative and Social Enterprises (Euricse). These reports, published annually since 2012, provide global data on the cooperative movement with a two-year time lag, capturing key metrics on the economic impact and sectoral distribution of cooperatives across the globe. The dataset covers the period from 2010 to 2020, focusing on three main variables: turnover, country of origin, and activity sector for the top 300 cooperatives. These cooperatives are predominantly concentrated in three sectors: Insurance, Agriculture and Food Industries, and Wholesale and Retail Trade. The countries with the highest concentration of large cooperatives include the United States, France, and Germany, with significant contributions from smaller European countries such as Finland and Denmark. This dataset enables the analysis of cooperative concentration, measured as the share of turnover of the largest cooperatives relative to the total market. Additionally, geographic and sectoral trends are examined. The dataset also provides insights into the relative importance of cooperatives in different countries, highlighting their share of turnover in relation to GDP and population.

The data collection was carried out in two stages. In the first one, the scientific literature was carefully examined to find candidates and their reported properties. In the second one, commercial PCMs available on the market were identified. The considered properties were melting temperature (ºC), melting enthalpy (J/g), specific heat in solid and liquid state (J/g·ºC), density in solid and liquid state (kg/m3), thermal conductivity in solid and liquid state (W/m·ºC), degradation temperature (ºC), and hazard level.

This dataset provides comprehensive insights into the impact of barley-based diets on inflammation and gut microbiota in Balb/cB&J mice. 50 mice were allocated into five different diets over six weeks: standard diet (SD), white rice (RD), whole-grain barley (WGB), anthocyanin-rich barley bran (BB), and beta-glucan-rich endosperm (PG). Each group comprised 10 animals, 5 males and 5 females. Serum samples were analyzed to measure six pro-inflammatory markers. Histological analysis of brain tissue was performed to evaluate inflammation in three distinct regions using F4/80 as a microglial activation marker. Colon samples were processed with immunohistochemistry to assess MUC2 expression. Faecal and ileum content samples were collected at multiple time points for microbiome analysis via 16S rRNA gene sequencing obtaining data on microbial alpha-diversity, beta-diversity and differential abundance analysis.

Observational data of glyphosate efficacy at one rate on two populations of Amaranthus palmeri.

The datasheets include assessments from the home-based CSE program delivered via telerehabilitation, conducted at baseline (T0), after 7 weeks (T1), and 12 weeks post-intervention (T2).

Benchmark for End-User Structured Data User Interfaces (BESDUI) based on the Berlin SPARQL Benchmark (BSBM) but intended for benchmarking the user experience while exploring a structured dataset, not the performance of the query engine. BSBM is just used to provide the data to be explored. This is a cheap User Interface benchmark as it does not involve users but experts, who measure how many interaction steps are required to complete each of the benchmark tasks, if possible. This also facilitates comparing different tools without the bias that different end-user profiles might introduce. The way to measure this interaction steps and convert them to an estimate of the required time to complete a task is based on the Keystroke-Level Model (KLM)

Reflectance data for different samples of maize kernels are provided. Concentration of deoxynivalenol and fumonisins determined by HPLC-DAD and HPLC-fluorescence, and raw reflectance data acquired from maize samples using NIR-HSI (893-1730 nm) equipment. From these raw data regression models were developed for predicting DON, FB1, FB2 and FB1+FB2 contamination in samples of maize kernels. Equally, classification models were developed for classifying samples of maize kernels according to its DON, FB1+FB2 or DON+FB1+FB2 contamination. Unscrambler software was used to develop the regression models, while Quasar was used to develop the classification models.