1 to 10 of 53 Results
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 26, 2024 - MILKQUA Dataverse
Gini, Chiara, 2024, "Replication data for "Essential oil supplementation in milk replacers: short- and long-term impacts on feed efficiency, the faecal microbiota and the plasma metabolome in dairy calves"", https://doi.org/10.13130/RD_UNIMI/CKKG2Y, UNIMI Dataverse, V1
The Replication data for "Essential oil supplementation in milk replacers: short- and long-term impacts on feed efficiency, the faecal microbiota and the plasma metabolome in dairy calves" dataset contains 64 compressed fastq format files, representing the forward and reverse rea... |
Feb 26, 2024Chiara Gini Dataverse
MILKQUA Dataverse is the repository for the raw 16S rRNA gene sequences of the MILKQUA project. MILKQUA project, or Milk Quality along the Dairy Chain for a Safe and Sustainable MILK, was funded under H2020-PRIMA 2018. |
Feb 8, 2024 - Standard Operating Procedures
Pavlovic, Radmila; Ribeiro, Ricardo; Szabó, Anna; Bitan, Amir; Kortner, Trond; Rebecca, Heavyside, 2020, "FISH-AI Standard Operating Procedures", https://doi.org/10.13130/RD_UNIMI/MW6R2N, UNIMI Dataverse, V9
This dataset contains SOPs that have been developed and shared among FISH-AI partners |
Feb 1, 2024 - Federico M. Stefanini Dataverse
Stefanini, Federico M., 2023, "Replication Data for "A Bayesian Causal Model to Support Decisions on Treating of a Vineyard"", https://doi.org/10.13130/RD_UNIMI/LGP5MW, UNIMI Dataverse, V2
Data from Monte Simulations to estimate incidence |
Nov 12, 2023 - Mattia Brambilla
Brambilla, Mattia; Bazzi, Gaia; Ilahiane, Luca, 2023, "Replication Data for "The effectiveness of species distribution models in predicting local abundance depends on model grain size"", https://doi.org/10.13130/RD_UNIMI/GUZWXB, UNIMI Dataverse, V1, UNF:6:4kYoPwn3xf83gblT5lG4Og== [fileUNF]
datasets used for SDMs and N-mixture models for the paper "The effectiveness of Species Distribution Models in predicting local abundance depends on model grain size". |
Apr 20, 2023Federico M. Stefanini
A Bayesian Causal Model to Support Decisions on Treating of a Vineyard |
Nov 8, 2022 - WP4_D4.4 Optimal culture media and protocols
Pasquariello, Rolando; Verdile, Nicole; Gandolfi, Fulvio, 2022, "Fish-AI_WP4_D4.4 Optimal culture media and protocols", https://doi.org/10.13130/RD_UNIMI/ADUJYK, UNIMI Dataverse, V3, UNF:6:Wh0IL9rU3kYyWXpx8XX90g== [fileUNF]
This dataset collects data about the optimization of cell line isolation and the data obtained from the characterization of the cell lines derived from the Rainbow trout. |
Nov 8, 2022 - WP4_D4.5 Combination cell lines culture device
Camin, Federica; Verdile, Nicole; Pasquariello, Rolando, 2022, "Fish-AI_WP4_D4.5 Combination cell lines culture device", https://doi.org/10.13130/RD_UNIMI/MO2HA0, UNIMI Dataverse, V1, UNF:6:lF1ZOhsrYmxLiTG13bBioA== [fileUNF]
This dataset gathers all the results obtained from the combination of cell lines and culture device |