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11 to 20 of 69 Results
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "01 - Radar Precipitation extraction 2005 - 2020", https://doi.org/10.13130/RD_UNIMI/NNCXQA, UNIMI Dataverse, V1, UNF:6:G/ic197J/lmcc3Nrij6tcw== [fileUNF]
Hourly precipitation values extracted from raster related to MeteoSWISS radar outputs. The values represent the average, minimum and maximum hourly precipitation in the cell (1km X 1km) corresponding to the ARPA station of Grosio. After extracting the data from the raster cell co...
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "12 - Forecasted dataseries of precipitation and temperature", https://doi.org/10.13130/RD_UNIMI/NFU5PO, UNIMI Dataverse, V1
Hourly forecasted dataseries of precipitation and temperature extracted from MOLOCH output. Data were extracted from the outputs of the MOLOCH model by transforming them into netCDF and extracting the values in the location of subbasins from the temperature and precipitation laye...
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "13 - Outflow model forced by MOLOCH input", https://doi.org/10.13130/RD_UNIMI/C6TLCP, UNIMI Dataverse, V1
GEOframe model streamflow output at the studied catchment outlet section in m3s-1 forced by precipitation and temperature derived from MOLOCH forecast model. Using the MOLOCH temperature and precipitation input, discharge values at the various outlets were calculated by exploitin...
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "00 - PhD Data Management Plan - Citrini", https://doi.org/10.13130/RD_UNIMI/33CFZX, UNIMI Dataverse, V1
Data Management Plan of the PhD project "Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production" and its attachments
May 22, 2024Andrea Citrini
This dataverse concerns Andrea Citrini's PhD project entitled "Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production"
Andrea Citrini(University of Milan)
May 22, 2024Dipartimento di scienze della terra
Mar 13, 2024 - Andrea Romano
Romano, Andrea, 2023, "Replication Data for "Spatiotemporal shift in body shape and plumage colouration as a response to changing climate in a cosmopolitan owl"", https://doi.org/10.13130/RD_UNIMI/W4QLNB, UNIMI Dataverse, V2, UNF:6:3VSU6f0Mcojh/xLo0ME3zw== [fileUNF]
Dataset paper "Spatiotemporal shift in body shape and plumage colouration as a response to changing climate in a cosmopolitan owl"
Mar 1, 2024 - Mattia Brambilla
Roseo, Francesca; Salvatori, Marco; Brambilla, Mattia; Pedrini, Paolo; Fedrigotti, Chiara; Bertocchi, Alberto, 2024, "Replication Data for "The landscape of fear in cattle farms? How the presence of barn swallow influences the activity of pest flies"", https://doi.org/10.13130/RD_UNIMI/HPCJVX, UNIMI Dataverse, V1
Data used to model the effect of barn swallow presence and abundance on the activity of pest flies within cattle farms in the central Italian Alps.
Feb 29, 2024 - Mattia Brambilla
Brambilla, Mattia; Roseo, Francesca; Ruggieri, Luciano; Alessandrini, Corrado; Bettega, Chiara, 2024, "Replication Data for "Shall we go to the mountains or to the sea for the winter holidays? Occurrence drivers and cultural relevance of the climate-vulnerable Snow Bunting Plectrophenax nivalis in Italy"", https://doi.org/10.13130/RD_UNIMI/DTC3BG, UNIMI Dataverse, V1, UNF:6:SNfcllVfO7Lo1nVv7LQnew== [fileUNF]
Data used to model snow bunting distribution in Italy. See the text of the related publication for an explanation about methods and analyses. It consists of different observations of the target species, for which the following elements are reported: - date - year: observation yea...
Feb 7, 2024 - Heavy Metal Bio-recovery and Valorization
Zecchin, Sarah, 2024, "Heavy Metals-transforming strains characterization", https://doi.org/10.13130/RD_UNIMI/TD9T4C, UNIMI Dataverse, V1
This dataset includes data related to the characterization of bacterial strains able to transform heavy metals.
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