University of Inland Norway

Note: No datasets will be curated/published between July 20–24, 2026 (week 30). We will get back to you as soon as possible.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

561 to 570 of 1,133 Results

IsCultureRelatedToStrongScience_Data_20210221.pdf Apr 19, 2021 - Replication data for: Is culture related to strong science? An empirical investigation Adobe PDF - 1.2 MB - MD5: dfef8b21b2929b5396897ed81183f118 All statistical analyses of the article
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 spiders) to clinal gradients of climate, and in particular gradients...
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 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)

IsCultureRelatedToStrongScience_Data_20210221.pdf

Apr 19, 2021 - Replication data for: Is culture related to strong science? An empirical investigation

Adobe PDF - 1.2 MB -

All statistical analyses of the article

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 spiders) to clinal gradients of climate, and in particular gradients...

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 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)

Add Data

Share Dataverse

Link Dataverse

Reset Modifications