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Replication Data for: "Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters"
Jul 15, 2022 - Po Plain aquifers
Zecchin, Sarah, 2022, "Replication Data for: "Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters"", https://doi.org/10.13130/RD_UNIMI/RC6YNI, UNIMI Dataverse, V1, UNF:6:/kNtTSE/8FEwscOFQd2Shw== [fileUNF]
This Dataset includes 16S rRNA gene reads obtained by Illumina amplicon sequencing performed on a MiSeq platform at Microsynth AG (Balgach, Switzerland). The reads were amplified from DNA isolated from arsenic-contaminated groundwater sampled in six aquifers located in the provin...
Replication Data for "A conditional linear Gaussian network to assess the impact of several agronomic settings on the quality of Tuscan Sangiovese grapes"
Oct 4, 2021 - A conditional linear Gaussian network - Sangiovese grapes
Stefanini, Federico M.; Alessandro Magrini; Stefano Di Blasi, 2021, "Replication Data for "A conditional linear Gaussian network to assess the impact of several agronomic settings on the quality of Tuscan Sangiovese grapes"", https://doi.org/10.13130/RD_UNIMI/BMCJ8L, UNIMI Dataverse, V1, UNF:6:zl6bIXUg5THPPd+pQwFMWw== [fileUNF]
In this paper, a Conditional Linear Gaussian Network (CLGN) model is built for a two- year experiment on Tuscan Sangiovese grapes involving canopy management techniques (number of buds, defoliation and bunch thinning) and harvest time (technological and late harvest). We found th...
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