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1 to 10 of 36 Results
UMILRawData_Deliverable 5.2
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
WP5 - Platform testing and validation(University of Milan)
Mar 1, 2024
FISH-AI Standard Operating Procedures
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
Work data for: "Development of a Rainbow Trout (Oncorhynchus mykiss) Intestinal In Vitro Platform for Profiling Amino Acid Digestion and Absorption of a Complete Diet"
Aug 30, 2023 - Published articles - raw data
Pasquariello, Rolando, 2023, "Work data for: "Development of a Rainbow Trout (Oncorhynchus mykiss) Intestinal In Vitro Platform for Profiling Amino Acid Digestion and Absorption of a Complete Diet"", https://doi.org/10.13130/RD_UNIMI/JCZEEM, UNIMI Dataverse, V2
This dataset collects all the raw materials of the paper "Development of a Rainbow Trout (Oncorhynchus mykiss) Intestinal In Vitro Platform for Profiling Amino Acid Digestion and Absorption of a Complete Diet", published on Animals journal
Work data for: "Evaluation of rainbow trout (Oncorhynchus mykiss) organotypic intestinal platforms: cellular responses after long-term exposure to in vitro digested feed"
Aug 30, 2023 - Published articles - raw data
Nicole, Verdile, 2023, "Work data for: "Evaluation of rainbow trout (Oncorhynchus mykiss) organotypic intestinal platforms: cellular responses after long-term exposure to in vitro digested feed"", https://doi.org/10.13130/RD_UNIMI/BGSCME, UNIMI Dataverse, V2, UNF:6:hXfMkp9yWTd7golcmdHE/Q== [fileUNF]
This dataset collects all the raw data of the article "Evaluation of rainbow trout (Oncorhynchus mykiss) organotypic intestinal platforms: cellular responses after long-term exposure to in vitro digested feed".
Work data for: "Distinct Organotypic Platforms Modulate Rainbow Trout (Oncorhynchus mykiss) Intestinal Cell Differentiation In Vitro"
Aug 30, 2023 - Published articles - raw data
Nicole Verdile, 2023, "Work data for: "Distinct Organotypic Platforms Modulate Rainbow Trout (Oncorhynchus mykiss) Intestinal Cell Differentiation In Vitro"", https://doi.org/10.13130/RD_UNIMI/DZFRQF, UNIMI Dataverse, V2, UNF:6:fwJqlLhOv9WdBO0nQJnJSQ== [fileUNF]
This dataset collects all the raw material related to the paper "Distinct Organotypic Platforms Modulate Rainbow Trout (Oncorhynchus mykiss) Intestinal Cell Differentiation In Vitro", published on Cells journal.
Published articles - raw data(University of Milan)
Aug 20, 2023
This Dataverse aimed to collect all the raw data related to the published papers of the Fish-AI consortium.
Fish-AI_WP4_D4.4 Optimal culture media and protocols
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.
Fish-AI_WP4_D4.5 Combination cell lines culture device
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
WP4_D4.5 Combination cell lines culture device(University of Milan)
Nov 8, 2022WP4: Platform development
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