University of Inland Norway

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261 to 270 of 832 Results

Replication Data for: Biogeographic position and body size jointly set lower thermal limits of wandering spiders Mar 8, 2021 Monsimet, Jérémy; Colinet, Hervé; Lafage, Denis; Devineau, Olivier; Pétillon, Julien, 2021, "Replication Data for: Biogeographic position and body size jointly set lower thermal limits of wandering spiders", https://doi.org/10.18710/HVR5AU, DataverseNO, V1, UNF:6:4mSFE569Kgot4mt/xBQd1w== [fileUNF] This dataset includes the scripts to run the analyses presented in the article and the raw data. Abstract: Most species encounter large variations in abiotic conditions along their distribution range. The physiological responses of most terrestrial ectotherms (such as insects and...
00_ReadMe.txt Mar 8, 2021 - Replication Data for: Biogeographic position and body size jointly set lower thermal limits of wandering spiders Plain Text - 5.6 KB - MD5: fae2064943196220c2029d1680b0f933 Read me file
modClim.R Mar 8, 2021 - Replication Data for: Biogeographic position and body size jointly set lower thermal limits of wandering spiders R Source Code - 7.0 KB - MD5: 7cf15d2511ad71ce25c9d0ebc1651364 R script to reproduce modClim models
modSp.R Mar 8, 2021 - Replication Data for: Biogeographic position and body size jointly set lower thermal limits of wandering spiders R Source Code - 7.0 KB - MD5: bf9aab0cf479fba4708a77f11e6e221b R script to reproduce modSp models
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 pr...
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

Replication Data for: Biogeographic position and body size jointly set lower thermal limits of wandering spiders

Mar 8, 2021

Monsimet, Jérémy; Colinet, Hervé; Lafage, Denis; Devineau, Olivier; Pétillon, Julien, 2021, "Replication Data for: Biogeographic position and body size jointly set lower thermal limits of wandering spiders", https://doi.org/10.18710/HVR5AU, DataverseNO, V1, UNF:6:4mSFE569Kgot4mt/xBQd1w== [fileUNF]

This dataset includes the scripts to run the analyses presented in the article and the raw data. Abstract: Most species encounter large variations in abiotic conditions along their distribution range. The physiological responses of most terrestrial ectotherms (such as insects and...

00_ReadMe.txt

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

Plain Text - 5.6 KB -

Read me file

modClim.R

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

R Source Code - 7.0 KB -

R script to reproduce modClim models

modSp.R

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

R Source Code - 7.0 KB -

R script to reproduce modSp models

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 pr...

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

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