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1 to 10 of 38 Results

Replication Data for "Spatiotemporal shift in body shape and plumage colouration as a response to changing climate in a cosmopolitan owl" Mar 13, 2024 - Andrea Romano Romano, Andrea, 2023, "Replication Data for "Spatiotemporal shift in body shape and plumage colouration as a response to changing climate in a cosmopolitan owl"", https://doi.org/10.13130/RD_UNIMI/W4QLNB, UNIMI Dataverse, V2, UNF:6:3VSU6f0Mcojh/xLo0ME3zw== [fileUNF] Dataset paper "Spatiotemporal shift in body shape and plumage colouration as a response to changing climate in a cosmopolitan owl"
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"
Replication Data for "Shall we go to the mountains or to the sea for the winter holidays? Occurrence drivers and cultural relevance of the climate-vulnerable Snow Bunting Plectrophenax nivalis in Italy" Feb 29, 2024 - Mattia Brambilla Brambilla, Mattia; Roseo, Francesca; Ruggieri, Luciano; Alessandrini, Corrado; Bettega, Chiara, 2024, "Replication Data for "Shall we go to the mountains or to the sea for the winter holidays? Occurrence drivers and cultural relevance of the climate-vulnerable Snow Bunting Plectrophenax nivalis in Italy"", https://doi.org/10.13130/RD_UNIMI/DTC3BG, UNIMI Dataverse, V1, UNF:6:SNfcllVfO7Lo1nVv7LQnew== [fileUNF] Data used to model snow bunting distribution in Italy
Replication Data for "A Bayesian Causal Model to Support Decisions on Treating of a Vineyard" Feb 1, 2024 - Federico M. Stefanini Dataverse Stefanini, Federico M., 2023, "Replication Data for "A Bayesian Causal Model to Support Decisions on Treating of a Vineyard"", https://doi.org/10.13130/RD_UNIMI/LGP5MW, UNIMI Dataverse, V2 Data from Monte Simulations to estimate incidence
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.
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, "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/QXE543, UNIMI Dataverse, V1 This dataset includes the maps (0.1° x 0.1° latitude per longitude resolution) of the sensitivity of the values of the downscaled maps at the same spatial resolution. One map is created for each estimated proportion of individuals on the move.

Replication Data for "Spatiotemporal shift in body shape and plumage colouration as a response to changing climate in a cosmopolitan owl"

Mar 13, 2024 - Andrea Romano

Romano, Andrea, 2023, "Replication Data for "Spatiotemporal shift in body shape and plumage colouration as a response to changing climate in a cosmopolitan owl"", https://doi.org/10.13130/RD_UNIMI/W4QLNB, UNIMI Dataverse, V2, UNF:6:3VSU6f0Mcojh/xLo0ME3zw== [fileUNF]

Dataset paper "Spatiotemporal shift in body shape and plumage colouration as a response to changing climate in a cosmopolitan owl"

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"

Replication Data for "Shall we go to the mountains or to the sea for the winter holidays? Occurrence drivers and cultural relevance of the climate-vulnerable Snow Bunting Plectrophenax nivalis in Italy"

Feb 29, 2024 - Mattia Brambilla

Brambilla, Mattia; Roseo, Francesca; Ruggieri, Luciano; Alessandrini, Corrado; Bettega, Chiara, 2024, "Replication Data for "Shall we go to the mountains or to the sea for the winter holidays? Occurrence drivers and cultural relevance of the climate-vulnerable Snow Bunting Plectrophenax nivalis in Italy"", https://doi.org/10.13130/RD_UNIMI/DTC3BG, UNIMI Dataverse, V1, UNF:6:SNfcllVfO7Lo1nVv7LQnew== [fileUNF]

Data used to model snow bunting distribution in Italy

Replication Data for "A Bayesian Causal Model to Support Decisions on Treating of a Vineyard"

Feb 1, 2024 - Federico M. Stefanini Dataverse

Stefanini, Federico M., 2023, "Replication Data for "A Bayesian Causal Model to Support Decisions on Treating of a Vineyard"", https://doi.org/10.13130/RD_UNIMI/LGP5MW, UNIMI Dataverse, V2

Data from Monte Simulations to estimate incidence

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.

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, "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/QXE543, UNIMI Dataverse, V1

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

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