University of Inland Norway

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271 to 280 of 838 Results

SCP.tab Mar 8, 2021 - Replication Data for: Biogeographic position and body size jointly set lower thermal limits of wandering spiders Tabular Data - 9.1 KB - 10 Variables, 123 Observations - UNF:6:K4POUtxV/LLkn8jW3JA3Jg== Raw data of the SCP per spiders
sites.tab Mar 8, 2021 - Replication Data for: Biogeographic position and body size jointly set lower thermal limits of wandering spiders Tabular Data - 361 B - 9 Variables, 5 Observations - UNF:6:8mVT2BPLfxGwsrzUfEgJnw== Raw data of the sites, including the bioclimatic information (see table 1 in the article)
Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods Oct 13, 2020 Monsimet, Jérémy, 2020, "Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods", https://doi.org/10.18710/TYPJXU, DataverseNO, V1, UNF:6:lfF710DKxWNbC60vonSRCQ== [fileUNF] This dataset includes presences of both fishing spiders in Fennoscandia and the R scripts to prepare and run the species distribution models (SDMs). The different predictions are also available, together with an HTML file with interactive maps of the suitable/reachable habitat predictions. Abstract: Fishing spiders (Dolomedes spp.) make an interest...
00_ReadMe.txt Oct 13, 2020 - Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods Plain Text - 7.7 KB - MD5: 1181d8a5199bf5b61e169a9b9814a0c2
B.tif Oct 13, 2020 - Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods TIFF Image - 25.2 MB - MD5: 97c969556a37331309514b6914677ff1 raster file of barrier to dispersal (see Dispersal.R)
Clim_env_preparation.R Oct 13, 2020 - Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods R Syntax - 3.0 KB - MD5: c49e9b6333cfba267b61dd96022114d2 To prepare the climatic and environmental data for SDM.R
Connectivity.R Oct 13, 2020 - Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods R Syntax - 5.3 KB - MD5: 10d91251242f21bf72eb95293de41659 To prepare the landscape connectivity map used by DispCS (prepare the data for/from Circuitscape)
cs.ini Oct 13, 2020 - Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods Unknown - 1.6 KB - MD5: cab9b1bb432f7cf705c787eb1c04689f Script to get the landscape connectivity map, script to run Circuitscape from Julia
Dispersal.R Oct 13, 2020 - Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods R Syntax - 4.2 KB - MD5: b2f946ab8ca825b916fba0afbf0f68ca To include dispersal (Disp and DispCS models) in predictions from BLU model
elevation.tif Oct 13, 2020 - Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods TIFF Image - 6.2 MB - MD5: 8733b75c03e518f484c87ad00b856e0a raster layer to create mask_planPA.tif/mask_fimbPA.tif

SCP.tab

Mar 8, 2021 - Replication Data for: Biogeographic position and body size jointly set lower thermal limits of wandering spiders

Tabular Data - 9.1 KB - 10 Variables, 123 Observations -

Raw data of the SCP per spiders

sites.tab

Mar 8, 2021 - Replication Data for: Biogeographic position and body size jointly set lower thermal limits of wandering spiders

Tabular Data - 361 B - 9 Variables, 5 Observations -

Raw data of the sites, including the bioclimatic information (see table 1 in the article)

Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods

Oct 13, 2020

Monsimet, Jérémy, 2020, "Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods", https://doi.org/10.18710/TYPJXU, DataverseNO, V1, UNF:6:lfF710DKxWNbC60vonSRCQ== [fileUNF]

This dataset includes presences of both fishing spiders in Fennoscandia and the R scripts to prepare and run the species distribution models (SDMs). The different predictions are also available, together with an HTML file with interactive maps of the suitable/reachable habitat predictions. Abstract: Fishing spiders (Dolomedes spp.) make an interest...

00_ReadMe.txt

Oct 13, 2020 - Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods

Plain Text - 7.7 KB -

B.tif

Oct 13, 2020 - Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods

TIFF Image - 25.2 MB -

raster file of barrier to dispersal (see Dispersal.R)

Clim_env_preparation.R

Oct 13, 2020 - Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods

R Syntax - 3.0 KB -

To prepare the climatic and environmental data for SDM.R

Connectivity.R