BUSCADOR RECOLECTA

Dades associades a l'article publicat: Massana i Raurich, Joaquim ; Pous i Sabadí, Carles ; Burgas Nadal, Llorenç ; Meléndez i Frigola, Joaquim ; Colomer Llinàs, Joan. (2017). Identifying services for short-term load forecasting using data driven models in a Smart City platform. Sustainable Cities and Society, vol. 28, p.108-117. Disponible a https://doi.org/10.1016/j.scs.2016.09.001, Software: 1 Fitxer Zip; 7 Fitxers xlsx, Data related to the electrical consumption of 7 non-residential buildings of the University of Girona. Data correspond to the electrical consumption of the buildings PI, PII, PII, PIV of the Escola Politècnica Superior and the faculties of Sciences, Law, and Economics from September 2011 to October 2014, Dades relacionades amb els consums elèctrics de 7 edificis no-residencials de la Universitat de Girona. Les dades corresponen als consums elèctrics del edificis PI, PII, PIII, PIV de l'Escola Politècnica Superior i de les facultats de Ciències, de Dret, i d'Econòmiques des de setembre de 2011 fins octubre de 2014, This research project has been partially funded through BR-UdGScholarship of the University of Girona granted to Joaquim MassanaRaurich. Work developed with the support of the research groupSITES awarded with distinction by the Generalitat de Catalunya(SGR 2014–2016), the MESC project funded by the Spanish MINECO (Ref. DPI2013-47450-C2-1-R) and the European Union’s Horizon2020 Research and Innovation Programme under grant agreementNo 680708

Dades associades a l'article publicat: Massana i Raurich, J., Pous i Sabadí, C., Burgas Nadal, Ll., Meléndez i Frigola, J., Colomer Llinàs, J. (2015). Short-term load forecasting for non-residential buildings contrasting artificial occupancy attributes. Energy and Buildings, vol. 130, p. 519-531. Disponible a https://doi.org/10.1016/j.enbuild.2016.08.081, Software: 1 Fitxer Zip; 2 Fitxers xlsx, Data related to electrical consumption and employment indicators of 2 buildings of the University of Girona, Dades relacionades amb els consums elèctrics i els indicadors d’ocupació de 2 edificis de la Universitat de Girona, This research project has been partially funded through BR-UdG Scholarship ofthe University of Girona granted to Joaquim Massana Raurich. Work developed with the support of the research group SITES awarded with distinction by the Generalitat de Catalunya (SGR 2014-2016) and the MESC project funded by the Spanish MINECO (Ref. DPI2013-47450-C2-1-R), European Union’s Horizon2020 Research and Innovation Programme under grant agreementNo 680708

Dades primàries associades a l'article publicat: Garrabou, J., Gómez Gras, D., Ledoux, J.B. [et.al]. Collaborative Database to Track Mass Mortality Events in the Mediterranean Sea. Frontiers in Marine Science, 2019, vol. 6 art. núm. 707. Disponible a https://doi.org/10.3389/fmars.2019.00707, The data compiled in the MME-T-MEDNet dataset was gathered from published scientific papers, grey literature and technical reports using different searching strategies in ISI Web of Knowledge and Google Scholar using different sets of keywords (including those used in Rivetti et al. 2014 and Marba et al. 2015) as well as through contacts with researchers across the Mediterranean. The dataset comprises mass mortality events impacts observed at discrete events generally related to warming episodes across the Mediterranean. The dataset provides information about the year, season, geographic coordinates, protection status of the geographic location, species phylum, species name, the degree of mortality impact, depth range of the mortality and reported biotic and abiotic mortality drivers of the event, The Mass Mortality Events (MME-T-MEDNet) dataset compiles information reported on mass mortality events of species in the Mediterranean Sea affecting different organism dwelling in coastal ecosystems, We acknowledge the financial support by the Prince Albert II de Monaco Foundation (MIMOSA project nº 1983) and the project MPA-ADAPT funded by Interreg MED program (European Regional Development Fund)