Metrics
196,167 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 10 of 20 Results
Replication Data for "The landscape of fear in cattle farms? How the presence of barn swallow influences the activity of pest flies"
Mar 1, 2024 - Mattia Brambilla
Roseo, Francesca; Salvatori, Marco; Brambilla, Mattia; Pedrini, Paolo; Fedrigotti, Chiara; Bertocchi, Alberto, 2024, "Replication Data for "The landscape of fear in cattle farms? How the presence of barn swallow influences the activity of pest flies"", https://doi.org/10.13130/RD_UNIMI/HPCJVX, UNIMI Dataverse, V1
Data used to model the effect of barn swallow presence and abundance on the activity of pest flies within cattle farms in the central Italian Alps.
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.
Potenziamento in-situ della dealogenazione microbica in acque di falda mediante utilizzo di composti bio-based
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...
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.
Electro-active biochar: scalable bioelectrodes to ‘power’ circular nutrients recovery and soil carbon sinks
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...
Replication Data for "The effectiveness of species distribution models in predicting local abundance depends on model grain size"
Nov 12, 2023 - Mattia Brambilla
Brambilla, Mattia; Bazzi, Gaia; Ilahiane, Luca, 2023, "Replication Data for "The effectiveness of species distribution models in predicting local abundance depends on model grain size"", https://doi.org/10.13130/RD_UNIMI/GUZWXB, UNIMI Dataverse, V1, UNF:6:4kYoPwn3xf83gblT5lG4Og== [fileUNF]
datasets used for SDMs and N-mixture models for the paper "The effectiveness of Species Distribution Models in predicting local abundance depends on model grain size".
Replication Data for "Environmental and management factors drive biological communities and ecosystem services in agroecosystems along an urban-natural gradient"
Aug 4, 2023 - Mattia Brambilla
Granata, Emanuela; Pedrini, Paolo; Marchesi, Luigi; Fedrigotti, Chiara; Biella, Paolo; Ronchi, Silvia; Brambilla, Mattia, 2023, "Replication Data for "Environmental and management factors drive biological communities and ecosystem services in agroecosystems along an urban-natural gradient"", https://doi.org/10.13130/RD_UNIMI/010WT5, UNIMI Dataverse, V1, UNF:6:1ofMLhgboz2owe6YrnWPhQ== [fileUNF]
Datasets for birds, flower visting insects and cultural ecosystem services for the paper "Environmental and management factors drive biological communities and ecosystem services in agroecosystems along an urban-natural gradient"
Replication Data for "No more silent (and uncoloured) springs in vineyards? Experimental evidence for positive impact of alternate inter-row management on birds and butterflies"
May 29, 2022 - Mattia Brambilla
Brambilla, Mattia; Gatti, Francesco, 2022, "Replication Data for "No more silent (and uncoloured) springs in vineyards? Experimental evidence for positive impact of alternate inter-row management on birds and butterflies"", https://doi.org/10.13130/RD_UNIMI/5ZXGIV, UNIMI Dataverse, V1, UNF:6:u/6axj+PmFTClB9/xMANIg== [fileUNF]
Butterfly and bird data used for the analyses presented in the paper "No more silent (and uncoloured) springs in vineyards? Experimental evidence for positive impact of alternate inter-row management on birds and butterflies" by M. Brambilla and F. Gatti. Databases are provided a...
Mattia Brambilla(Università degli Studi di Milano)
May 29, 2022Dipartimento di scienze e politiche ambientali
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...
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.