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Subject: Agricultural Sciences

1 to 10 of 125 Results

Replication Data for: Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater May 6, 2024 - MADFORWATER-WP2 Mapelli, Francesca, 2024, "Replication Data for: Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater", https://doi.org/10.13130/RD_UNIMI/DZ4WSQ, UNIMI Dataverse, V1, UNF:6:cllVMRmfXhq5AzKkOAMIJg== [fileUNF] The dataset includes five Supplementary Tables for the manuscript entitled "Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater". The data refer to the taxonomic and functional diversity of bacterial commun...
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, 2024FISH-AI H2020 FETOPEN research project
Replication Data for for the paper "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 for the paper "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 fly abundance in relation to barn swallows for the paper "The landscape of fear in cattle farms? How the presence of barn swallow influences the activity of pest flies"
Feces Dataset Feb 26, 2024 - MILKQUA Dataverse Gini, Chiara, 2024, "Feces Dataset", https://doi.org/10.13130/RD_UNIMI/CKKG2Y, UNIMI Dataverse, V1 The Feces Dataset contains 64 compressed fastq format files, representing the forward and reverse reads of 32 fecal samples belonging to the MILKQUA project that were sequenced in the V3-V4 regione of the 16S rRNA gene. Feces samples (rectal grab samples) were collected before th...
MILKQUA Dataverse(University of Milan) Feb 26, 2024Chiara Gini Dataverse MILKQUA Dataverse is the repository for the raw 16S rRNA gene sequences of the MILKQUA project. MILKQUA project, or Milk Quality along the Dairy Chain for a Safe and Sustainable MILK, was funded under H2020-PRIMA 2018.
Chiara Gini Dataverse(University of Milan) Feb 26, 2024Dipartimento di Medicina veterinaria Chiara Gini Dataverse
Replication data for “Unveiling the microbiota diversity of the xerophyte Argania spinosa L. Skeels root system and residuesphere” 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
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
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.

Replication Data for: Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater

May 6, 2024 - MADFORWATER-WP2

Mapelli, Francesca, 2024, "Replication Data for: Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater", https://doi.org/10.13130/RD_UNIMI/DZ4WSQ, UNIMI Dataverse, V1, UNF:6:cllVMRmfXhq5AzKkOAMIJg== [fileUNF]

The dataset includes five Supplementary Tables for the manuscript entitled "Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater". The data refer to the taxonomic and functional diversity of bacterial commun...

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, 2024FISH-AI H2020 FETOPEN research project

Replication Data for for the paper "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 for the paper "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 fly abundance in relation to barn swallows for the paper "The landscape of fear in cattle farms? How the presence of barn swallow influences the activity of pest flies"

Feces Dataset

Feb 26, 2024 - MILKQUA Dataverse

Gini, Chiara, 2024, "Feces Dataset", https://doi.org/10.13130/RD_UNIMI/CKKG2Y, UNIMI Dataverse, V1

The Feces Dataset contains 64 compressed fastq format files, representing the forward and reverse reads of 32 fecal samples belonging to the MILKQUA project that were sequenced in the V3-V4 regione of the 16S rRNA gene. Feces samples (rectal grab samples) were collected before th...

MILKQUA Dataverse(University of Milan)

Feb 26, 2024Chiara Gini Dataverse

MILKQUA Dataverse is the repository for the raw 16S rRNA gene sequences of the MILKQUA project. MILKQUA project, or Milk Quality along the Dairy Chain for a Safe and Sustainable MILK, was funded under H2020-PRIMA 2018.

Chiara Gini Dataverse(University of Milan)

Feb 26, 2024Dipartimento di Medicina veterinaria

Chiara Gini Dataverse

Replication data for “Unveiling the microbiota diversity of the xerophyte Argania spinosa L. Skeels root system and residuesphere”

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

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

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.

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