1 to 10 of 125 Results
May 6, 2024 - MADFORWATER-WP2
Mapelli, Francesca, 2024, "Replication Data for: Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater", https://doi.org/10.13130/RD_UNIMI/DZ4WSQ, UNIMI Dataverse, V1, UNF:6:cllVMRmfXhq5AzKkOAMIJg== [fileUNF]
The dataset includes five Supplementary Tables for the manuscript entitled "Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater". The data refer to the taxonomic and functional diversity of bacterial commun... |
Mar 2, 2024 - WP5 - Platform testing and validation
Camin, Federica, 2024, "UMILRawData_Deliverable 5.2", https://doi.org/10.13130/RD_UNIMI/DP08SC, UNIMI Dataverse, V3, UNF:6:fDNBVZ7VwA3Ode8gI9kjSw== [fileUNF]
This dataset collects all the raw data explained of the deliverable 5.2 |
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 13, 2024 - MADFORWATER-WP3
Mapelli, Francesca, 2020, "Replication data for “Unveiling the microbiota diversity of the xerophyte Argania spinosa L. Skeels root system and residuesphere”", https://doi.org/10.13130/RD_UNIMI/JAG2BM, UNIMI Dataverse, V2, UNF:6:biazmBDg3c1I5d1zuFLYyA== [fileUNF]
This dataset includes results related to the characterization of the bacterial diversity associated to the root system and the residuesphere (litter) of the xerophilic species Argania spinosa |
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 6, 2024 - Potenziamento in-situ della dealogenazione microbica in acque di falda mediante utilizzo di composti bio-based
Zecchin, Sarah, 2024, "Microbial communities inhabiting groundwater contaminated with chlorinated hydrocarbons", https://doi.org/10.13130/RD_UNIMI/OCM22P, UNIMI Dataverse, V1
This dataset includes sequences generated with Illumina sequencing of bacterial and archaeal 16S rRNA genes of groundwater samples collected in a site contaminated with chlorinated hydrocarbons. |