Metrics
196,073 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 4 of 4 Results
Heavy Metals-transforming strains characterization
Feb 7, 2024 - Heavy Metal Bio-recovery and Valorization
Zecchin, Sarah, 2024, "Heavy Metals-transforming strains characterization", https://doi.org/10.13130/RD_UNIMI/TD9T4C, UNIMI Dataverse, V1
This dataset includes data related to the characterization of bacterial strains able to transform heavy metals.
Microbial communities inhabiting groundwater contaminated with chlorinated hydrocarbons
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.
Microbial communities developed in bioelectrochemical systems with terracotta separators
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.
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...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.