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1 to 10 of 24 Results
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
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.
Feb 6, 2024Dipartimento di Scienze per gli Alimenti, la Nutrizione e l'Ambiente
Il progetto studia bio-processi innovativi per la bonifica in situ di acque di falda contaminate da sostanze organiche alogenate. L'obiettivo è quello di validare un intervento di bonifica biologica per la decontaminazione di acque sotterranee da solventi clorurati e studiare gli...
Feb 5, 2024 - Electro-active biochar: scalable bioelectrodes to ‘power’ circular nutrients recovery and soil carbon sinks
Zecchin, Sarah, 2024, "Microbial communities developed in bioelectrochemical systems with terracotta separators", https://doi.org/10.13130/RD_UNIMI/IUOJV2, UNIMI Dataverse, V1
The dataset includes fasta files originated from Illumina sequencing of bacterial and archaeal 16S rRNA genes. The microbial communities were sampled from different matrices of bioelectrochemical systems including terracotta separators.
Feb 5, 2024Dipartimento di Scienze per gli Alimenti, la Nutrizione e l'Ambiente
Microbial electrochemical technologies (METs) are based on the capacity of certain microbes to use solid conductors (bioelectrodes) as electron acceptors or donors for their metabolism. During the last 2 decades, a series of promising environmental applications of METs were propo...
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.
WP4: Platform development(University of Milan)
Oct 30, 2022FISH-AI H2020 FETOPEN research project
This dataverse collects datasets regarding the 4th FISH-AI project work package: Platform development. It gathers raw data, processed data, and all related files of 1) Gel casting preparation, 2) Functionalized and stabilized biopolymers, 3) Design and prototype of a purpose-buil...
Oct 26, 2022 - WP1_WP2_WP3:DELIVERABLES
Federica Camin, 2022, "FISH-AI_WP1_1.2_D02_Internal quarterly newsletters", https://doi.org/10.13130/RD_UNIMI/JUYQFP, UNIMI Dataverse, V1
This dataset collects the internal quarterly newsletter. Quarterly newsletter delivered to all partners from month 4 to month 48. The content will include progress and problems reports, technical data updates, and any other information that is deemed necessary to be circulated am...
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