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1 to 10 of 10 Results

Data_Temporal shifts in avian phenology across the circannual cycle in a rapidly changing climate: a global meta-analysis Aug 5, 2022 - Andrea Romano Romano, Andrea, 2022, "Data_Temporal shifts in avian phenology across the circannual cycle in a rapidly changing climate: a global meta-analysis", https://doi.org/10.13130/RD_UNIMI/JNNSCX, UNIMI Dataverse, V1, UNF:6:TuJ6sEY6gsYBMocyRmsxOQ== [fileUNF] Database used in the paper "Temporal shifts in avian phenology across the circannual cycle in a rapidly changing climate: a global meta-analysis"
Andrea Romano(Università degli Studi di Milano) Aug 5, 2022
Datasets for the paper "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, "Datasets for the paper "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, 2022
Species data with variables for the paper "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions" Mar 31, 2022 - Datasets for "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions" Brambilla, Mattia, 2022, "Species data with variables for the paper "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions"", https://doi.org/10.13130/RD_UNIMI/ARAI8C, UNIMI Dataverse, V1, UNF:6:fWzea1VEkd8LVdkcHlXDAw== [fileUNF] These files include species location and background points used for Species Distribution Models, with relative values of environmental variables used in the modelling procedure. Files are provided in CSV format and in RDS format (to be used in R for model running). The txt file i...
Raster files of climate refugia for single target species and multi-species refugia for high-elevation birds in the Alps Mar 31, 2022 - Datasets for "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions" Brambilla, Mattia, 2022, "Raster files of climate refugia for single target species and multi-species refugia for high-elevation birds in the Alps", https://doi.org/10.13130/RD_UNIMI/ESCYNG, UNIMI Dataverse, V1 Raster files showing the spatial location of type 1 and type 2 multispecies refugia, and of type 1-2-3 refugia for the target species in the Alps. See the related paper "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions" for exp...
Datasets for "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions"(Università degli Studi di Milano) Mar 31, 2022
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, "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...
A conditional linear Gaussian network - Sangiovese grapes(University of Milan) Oct 4, 2021Federico M. Stefanini
Federico M. Stefanini(Università degli Studi di Milano) Oct 4, 2021

Data_Temporal shifts in avian phenology across the circannual cycle in a rapidly changing climate: a global meta-analysis

Aug 5, 2022 - Andrea Romano

Romano, Andrea, 2022, "Data_Temporal shifts in avian phenology across the circannual cycle in a rapidly changing climate: a global meta-analysis", https://doi.org/10.13130/RD_UNIMI/JNNSCX, UNIMI Dataverse, V1, UNF:6:TuJ6sEY6gsYBMocyRmsxOQ== [fileUNF]

Database used in the paper "Temporal shifts in avian phenology across the circannual cycle in a rapidly changing climate: a global meta-analysis"

Andrea Romano(Università degli Studi di Milano)

Aug 5, 2022

Datasets for the paper "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, "Datasets for the paper "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, 2022

Species data with variables for the paper "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions"

Mar 31, 2022 - Datasets for "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions"

Brambilla, Mattia, 2022, "Species data with variables for the paper "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions"", https://doi.org/10.13130/RD_UNIMI/ARAI8C, UNIMI Dataverse, V1, UNF:6:fWzea1VEkd8LVdkcHlXDAw== [fileUNF]

These files include species location and background points used for Species Distribution Models, with relative values of environmental variables used in the modelling procedure. Files are provided in CSV format and in RDS format (to be used in R for model running). The txt file i...

Raster files of climate refugia for single target species and multi-species refugia for high-elevation birds in the Alps

Mar 31, 2022 - Datasets for "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions"

Brambilla, Mattia, 2022, "Raster files of climate refugia for single target species and multi-species refugia for high-elevation birds in the Alps", https://doi.org/10.13130/RD_UNIMI/ESCYNG, UNIMI Dataverse, V1

Raster files showing the spatial location of type 1 and type 2 multispecies refugia, and of type 1-2-3 refugia for the target species in the Alps. See the related paper "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions" for exp...

Datasets for "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions"(Università degli Studi di Milano)

Mar 31, 2022

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, "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...

A conditional linear Gaussian network - Sangiovese grapes(University of Milan)

Oct 4, 2021Federico M. Stefanini

Federico M. Stefanini(Università degli Studi di Milano)

Oct 4, 2021

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