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31 to 40 of 47 Results
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"
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, "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/0FMO7S, UNIMI Dataverse, V1
This dataset includes the interpolated maps (0.5° x 0.5° latitude per longitude resolution) created during the analysis procedure. One map is created for each combination of parameters used in the model. The file name reports the value of the parameters used and is composed of th...
Maps of 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"
Maps of 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, "Maps of 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/H4W0JR, UNIMI Dataverse, V1
This dataset includes the maps of the estimated date per cell when a given proportion of individuals was on the move. These maps are based on model interpolation and were used for creating the interpolated maps. One map is created for each combination of parameters used in the mo...
Grid 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"
Grid 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, "Grid 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/HT5EN3, UNIMI Dataverse, V1
This dataset includes the maps of the cells generated for each combination of parameters during the procedure.
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 "Island volcanism predicts pheomelanin-based plumage colouration in a cosmopolitan raptor"
May 2, 2023 - Andrea Romano
Romano, Andrea, 2023, "Replication Data for "Island volcanism predicts pheomelanin-based plumage colouration in a cosmopolitan raptor"", https://doi.org/10.13130/RD_UNIMI/SE7LOY, UNIMI Dataverse, V1, UNF:6:rszqsU6IacNJNiiBPB8juw== [fileUNF]
Dataset used in the paper entitled "Island volcanism predicts pheomelanin-based plumage colouration in a cosmopolitan raptor"
ddRAD Data for "Landscape characteristics influence regional dispersal in a high-elevation specialist migratory bird, the water pipit Anthus spinoletta"
Jan 10, 2023 - Mattia Brambilla
Ceresa, Francesco; Brambilla, Mattia; Kvist, Laura; Vitulano, Severino; Pes, Michele; Tomasi, Laura; Pedrini, Paolo; Hilpold, Andreas; Kranebitter, Petra, 2023, "ddRAD Data for "Landscape characteristics influence regional dispersal in a high-elevation specialist migratory bird, the water pipit Anthus spinoletta"", https://doi.org/10.13130/RD_UNIMI/6T6BCE, UNIMI Dataverse, V1, UNF:6:wXS7YfbTN/B5f1dmBidp5Q== [fileUNF]
Demultiplexed FASTQ files for all sampled individuals of water pipit Anthus spinoletta and sampling area and period for each individual.
Sampling sites, databases for SDMs and R scripts for MLPE models for "Landscape characteristics influence regional dispersal in a high-elevation specialist migratory bird, the water pipit Anthus spinoletta"
Jan 5, 2023 - Mattia Brambilla
Ceresa, Francesco; Brambilla, Mattia; Kvist, Laura; Vitulano, Severino; Pes, Michele; Tomasi, Laura; Pedrini, Paolo; Hilpold, Andreas; Kranebitter, Petra, 2023, "Sampling sites, databases for SDMs and R scripts for MLPE models for "Landscape characteristics influence regional dispersal in a high-elevation specialist migratory bird, the water pipit Anthus spinoletta"", https://doi.org/10.13130/RD_UNIMI/VTSVZQ, UNIMI Dataverse, V1
Location of sampling sites, databases (species-with-data files in RDS format) and scripts associated with the paper. Two R scripts for Maximum Likelihood Population Effects models are provided: 1. script_MLPE: R script used to fit maximum likelihood population effects models, con...
Matrices of genetic distances and resistance surfaces for "Landscape characteristics influence regional dispersal in a high-elevation specialist migratory bird, the water pipit Anthus spinoletta"
Jan 5, 2023 - Mattia Brambilla
Ceresa, Francesco; Brambilla, Mattia; Kvist, Laura; Vitulano, Severino; Pes, Michele; Tomasi, Laura; Pedrini, Paolo; Hilpold, Andreas; Kranebitter, Petra, 2023, "Matrices of genetic distances and resistance surfaces for "Landscape characteristics influence regional dispersal in a high-elevation specialist migratory bird, the water pipit Anthus spinoletta"", https://doi.org/10.13130/RD_UNIMI/IFCPAX, UNIMI Dataverse, V1, UNF:6:T23hXVsmqWDEgo8hRIvv8g== [fileUNF]
This dataset includes matrices of genetic distances and raster resistance surfaces. Matrix of individual genetic distances: 1. plink.mdist: matrix of individual genetic distances (all individuals); 2. plink.mdist_north: matrix of individual genetic distances (northern sub-area);...
Replication Data for: "Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters"
Jul 15, 2022 - Po Plain aquifers
Zecchin, Sarah, 2022, "Replication Data for: "Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters"", https://doi.org/10.13130/RD_UNIMI/RC6YNI, UNIMI Dataverse, V1, UNF:6:/kNtTSE/8FEwscOFQd2Shw== [fileUNF]
This Dataset includes 16S rRNA gene reads obtained by Illumina amplicon sequencing performed on a MiSeq platform at Microsynth AG (Balgach, Switzerland). The reads were amplified from DNA isolated from arsenic-contaminated groundwater sampled in six aquifers located in the provin...
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