1 to 10 of 357 Results
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 13, 2024 -
Replication data for “Unveiling the microbiota diversity of the xerophyte Argania spinosa L. Skeels root system and residuesphere”
Tabular Data - 1.4 KB - 10 Variables, 43 Observations - UNF:6:DTvuRhv2PjVZeR/Q2UeaZw==
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Feb 13, 2024 -
Replication data for “Unveiling the microbiota diversity of the xerophyte Argania spinosa L. Skeels root system and residuesphere”
Tabular Data - 1.5 KB - 11 Variables, 46 Observations - UNF:6:AZtwIWaZXwD4MQgxqI5Vcg==
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Feb 13, 2024 -
Replication data for “Unveiling the microbiota diversity of the xerophyte Argania spinosa L. Skeels root system and residuesphere”
Plain Text - 1.9 KB -
MD5: 82f3d61af0b72fc9e24109625b22d8b1
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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 8, 2024 -
FISH-AI Standard Operating Procedures
Adobe PDF - 923.9 KB -
MD5: 318ded45ead858d717189d31c286b2d5
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May 22, 2023 -
FISH-AI Standard Operating Procedures
Adobe PDF - 1.0 MB -
MD5: 5b2e4acd8bd09a1ad118a564a34c608d
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Nov 8, 2022 -
FISH-AI Standard Operating Procedures
Adobe PDF - 204.4 KB -
MD5: 8e4f17f3bf761212d9c0e4e561cbe682
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Nov 8, 2022 -
FISH-AI Standard Operating Procedures
Adobe PDF - 242.0 KB -
MD5: c768390e70e24f8204e25f55c30b368b
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Nov 8, 2022 -
FISH-AI Standard Operating Procedures
Plain Text - 3.0 KB -
MD5: 5536c6bd6b1c3578536cc30a4b6ca9aa
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