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Subject: Earth and Environmental Sciences

21 to 30 of 69 Results

Heavy Metal Bio-recovery and Valorization Feb 7, 2024Dipartimento di Scienze per gli Alimenti, la Nutrizione e l'Ambiente Facing the necessity to improve environmental and economic sustainability of industrial processes, Circular Economy strategies are essential in partnership with scientific research. At global and local levels, development goals are declined in the respect of needs for civil socie...
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...
Downscaled maps, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy" Jan 26, 2024 - Replication Data for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy" Ambrosini, Roberto, 2024, "Downscaled maps, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"", https://doi.org/10.13130/RD_UNIMI/OBPYYQ, UNIMI Dataverse, V1 This dataset includes the downscaled maps (0.1° x 0.1° latitude per longitude resolution) created during the analysis procedure. One map is created for each combination of parameters used in the model
Data associated with sensitivity maps, one for each estimated proportion of migrants, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy" Jan 26, 2024 - Replication Data for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy" Ambrosini, Roberto, 2024, "Data associated with sensitivity maps, one for each estimated proportion of migrants, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"", https://doi.org/10.13130/RD_UNIMI/5RH7NH, UNIMI Dataverse, V1 This dataset includes the data (rds format) used to create the maps (0.1° x 0.1° latitude per longitude resolution) of the sensitivity of the downscaled maps at the same spatial resolution. One map is created for each estimated proportion of individuals on the move.
Data associated with the maps of the estimated date per cell, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy" Jan 26, 2024 - Replication Data for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy" Ambrosini, Roberto, 2024, "Data associated with the maps of the estimated date per cell, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"", https://doi.org/10.13130/RD_UNIMI/UZ25HQ, UNIMI Dataverse, V1 Data associated with the maps of the estimated date per cell, one for each combination of parameters.
Data associated with mean maps, one for each estimated proportion of migrants, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy" Jan 26, 2024 - Replication Data for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy" Ambrosini, Roberto, 2024, "Data associated with mean maps, one for each estimated proportion of migrants, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"", https://doi.org/10.13130/RD_UNIMI/GD94TE, UNIMI Dataverse, V1 This dataset includes the data (rds format) used to generate maps (0.1° x 0.1° latitude per longitude resolution) obtained by averaging the downscaled maps at the same spatial resolution. One map is created for each estimated proportion of individuals on the move by averaging the...
Data associated with interpolated maps, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy" Jan 26, 2024 - Replication Data for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy" Ambrosini, Roberto, 2024, "Data associated with interpolated maps, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"", https://doi.org/10.13130/RD_UNIMI/PLHGBP, UNIMI Dataverse, V1 This dataset includes the results (rds format) associated with the interpolated maps (0.5° x 0.5° latitude per longitude resolution). One file is created for each combination of parameters used in the model.

Heavy Metal Bio-recovery and Valorization

Feb 7, 2024Dipartimento di Scienze per gli Alimenti, la Nutrizione e l'Ambiente

Facing the necessity to improve environmental and economic sustainability of industrial processes, Circular Economy strategies are essential in partnership with scientific research. At global and local levels, development goals are declined in the respect of needs for civil socie...

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...

Downscaled maps, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"

Jan 26, 2024 - Replication Data for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"

Ambrosini, Roberto, 2024, "Downscaled maps, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"", https://doi.org/10.13130/RD_UNIMI/OBPYYQ, UNIMI Dataverse, V1

This dataset includes the downscaled maps (0.1° x 0.1° latitude per longitude resolution) created during the analysis procedure. One map is created for each combination of parameters used in the model

Data associated with sensitivity maps, one for each estimated proportion of migrants, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"

Jan 26, 2024 - Replication Data for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"

Ambrosini, Roberto, 2024, "Data associated with sensitivity maps, one for each estimated proportion of migrants, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"", https://doi.org/10.13130/RD_UNIMI/5RH7NH, UNIMI Dataverse, V1

This dataset includes the data (rds format) used to create the maps (0.1° x 0.1° latitude per longitude resolution) of the sensitivity of the downscaled maps at the same spatial resolution. One map is created for each estimated proportion of individuals on the move.

Data associated with the maps of the estimated date per cell, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"

Jan 26, 2024 - Replication Data for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"

Ambrosini, Roberto, 2024, "Data associated with the maps of the estimated date per cell, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"", https://doi.org/10.13130/RD_UNIMI/UZ25HQ, UNIMI Dataverse, V1

Data associated with the maps of the estimated date per cell, one for each combination of parameters.

Data associated with mean maps, one for each estimated proportion of migrants, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"

Jan 26, 2024 - Replication Data for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"

Ambrosini, Roberto, 2024, "Data associated with mean maps, one for each estimated proportion of migrants, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"", https://doi.org/10.13130/RD_UNIMI/GD94TE, UNIMI Dataverse, V1

This dataset includes the data (rds format) used to generate maps (0.1° x 0.1° latitude per longitude resolution) obtained by averaging the downscaled maps at the same spatial resolution. One map is created for each estimated proportion of individuals on the move by averaging the...

Data associated with interpolated maps, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"

Jan 26, 2024 - Replication Data for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"

Ambrosini, Roberto, 2024, "Data associated with interpolated maps, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"", https://doi.org/10.13130/RD_UNIMI/PLHGBP, UNIMI Dataverse, V1

This dataset includes the results (rds format) associated with the interpolated maps (0.5° x 0.5° latitude per longitude resolution). One file is created for each combination of parameters used in the model.

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