Resultados de investigación

In order to improve the skill of our telecommunication degree students, a group of teachers at the School of Telecommunication Engineering of the Universidade de Vigo set up the LIZGAIRO project as the means to introduce Agile techniques, and Scrum in particular, across a set of subjects in different courses both of the undergraduate and the graduate level. These datasets collect the responses to the surveys evaluating the satisfaction of students and teachers with the project.

-Ddbb with the variables used in the analyses. -Stata sintax with the analyses.

This dataset contains measurements of spectral induced polarization from mixtures of a natural soil and biochar. The mixtures were done at different biochar contents (wt. %): 0%, 0.1%, 1%, 5%, and 10%. There is a README file explaining the structure of the files.

Data set associated with the published article entitled: Mineralogy, Geochemistry and Environmental Hazards of Different Types of Mining Waste from a Former Mediterranean Metal Mining Area

This dataset includes the data obtained during the installation of a camera system and development of a LSPIV methodology to determine the velocities of runoff generated in the BLOCK rainfall simulator located at the Universidade da Coruña. The dataset consists of raw and processed images and surface velocity maps obtained during the assessment of the full process. This data will help to improve and assess imaging techniques in urban environments with the presence of realistic rain, and test new preprocessing and postprocessing methods to optimize the different processes. This dataset is a result from the Joint Research Activity 3 (WP8, Improving Resilience and Sustainability in Urban Drainage solutions), Task 8.1.1. (Development of Scalable Hydrodynamic Performance Protocols.) within Co-UDlabs project, funded under the European Union s Horizon 2020 research and innovation programme under grant agreement No 101008626.

This data set includes 16 files corresponding to the paper with doi:10.1016/j.mechmachtheory.2022.105115 plus a readme.txt file., This dataset is part of the research project PID2020-116107GB-I00 funded by MCIN/AEI/10.13039/501100011033

Crop yield data, auxiliary data and methods metadata from a mandarin crop studied in Diverfarming project.

The consumption stage has been identified as the largest producer of food waste (FW) across the food supply chain (FSC), with fruit and vegetables being the most affected product category. The present study aims to determine the op- timal storage scenario at household level to avoid food waste and which has the lowest environmental footprint. Broc- coli was stored under different storage conditions: unbagged or bagged (periodically opened) in bioplastic bags inside a domestic refrigerator at 5 or 7 °C for 34 days and then analysed for relative humidity (RH), sensory properties and bioactive compounds. A life cycle assessment (LCA) was conducted to evaluate the environmental profile of 1 kg of broccoli purchased by the consumer (cradle-to-grave). At day 0 (base scenario) the carbon footprint was 0.81 kg CO2 eq/kg, with the vegetable farming being the main contributor to this environmental impact, mostly driven by fertiliser (production and its emissions to air and water) and irrigation (due to electricity consumption for water pumping). Quality and food waste depended on time and storage conditions: For short storage times, within three days, the best quality combined with the lowest environmental footprint was for unbagged broccoli at 7 °C and no household food waste. However, this scenario had the highest food waste level from day 3 onwards, with increased resource loss and overall environmental footprint. For long-term storage, using a bag and storing at 5 °C helped to re- duce food waste with the lowest environmental footprint. For example, at 16 days, this scenario (bagged at 5 °C) could save 4.63 kg/FU ofbroccoli and 3.16 kg CO2 eq/FU compared to the worst scenario (unbagged at 7 °C). Consumers are the key to reducing household food waste and this research provides the knowledge for improvement.

Purpose: The food industry should evolve towards new business models which take into account the damage cost in decision making, considering the impact that its products generate on the natural and human environment. Hence, the present study aims to calculate the damage cost caused by the production of whole fresh (as average of potatoes, aubergines, and broccoli), and processed vegetables (fresh-cut and pre-cooked). Methods: The environmental life cycle approach was carried out per kilogram of assessed products (from cradle to the entrance of the market). The foreground Life Cycle Inventory was obtained from engineering procurement and construction projects of the whole fresh and processed vegetables industries. The Ecoinvent 3.8 and Agribalyse 3.0.1 databases were used for the background inventory. The ReCiPe 2016 method was used with a hierarchical perspective, evaluating eighteen midpoint categories as well as the endpoint categories (human health, ecosystems, and resources). The monetisation of these environmental impacts was then calculated using the endpoint monetisation factors developed by Ponsioen et al. (Monetisa- tion of sustainability impacts of food production and consumption. Wageningen Economic Research, Wageningen, 2020) for each product. It should be noted that this study does not include a comparative assessment. This study does not intend to compare the results for the three vegetable groups. Results and discussion: The damage costs were 0.16 €/kg for whole fresh vegetables, 0.37 €/kg for fresh-cut vegetables and 0.41 €/kg for pre-cooked vegetables. The agricultural production stage contributed most to these total damage costs due to the impact produced on land use and global warming in midpoint categories and human health and ecosystems in endpoint categories. In addition, the damage cost due to fossil resource scarcity (midpoint) and resource scarcity (endpoint) was mainly caused by the plastic packaging of fresh-cut and pre-cooked vegetables. The total cost was 1.02 €/kg for whole fresh vegetables, 2.99 €/kg for fresh-cut vegetables, and 3.43 €/kg for pre-cooked vegetables. Conclusions: These results suggest that some efforts should be made to reduce both environmental impacts and damage costs. For instance, to improve agricultural production, special attention should be paid to fertilisation and water consumption. Additionally, new packaging options should be explored as well as the inclusion of renewable sources in the electricity grid, and finally, on transporting the finished products to the market, by using trucks that run on cleaner fuels.

Datasets with all properties measured during three crop cycles of an experiment developed to assess the efficiency of intercropping between broccoli and fava bean to enhance crop productivity, soil health and carbon sequestration and storage and reduce soil greenhouse gas emissions and the use of external inputs. We compared a broccoli monocrop (Brassica oleracea var. italica Plenck), a fava bean monocrop (Vicia faba L.) and different broccoli-fava bean intercropping systems in three winter crop cycles: 2018/2019, 2019/2020 and 2020/2021. The intercropping systems were: i) mixed intercropping (alternation within the same row of broccoli and fava bean plants), row intercropping 1:1 (combination of alternate rows of broccoli - fava bean) and row intercropping 2:1 (combination of two rows of the broccoli crop and one row of fava bean)., This research was funded by the Project AsociaHortus granted by the Spanish Ministry of Science and Innovation (AGL2017-83975-R). M. Marcos-Pérez acknowledges the financial support from the Spanish Ministry of Science, Innovation and Universities through the "Ayudas para contratos predoctorales para la formación de doctores 2018" Program [PRE2018-085702].