UiT The Arctic University of Norway

Looking for TROLLing? Click here: https://trolling.uit.no/

NMDC Node UiT

PolarFront

The Stein Rokkan Research Group for Quantitative Social and Political Science

Tromsø Geophysical Observatory

Arctic Language Technology

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.

7,371 to 7,380 of 11,083 Results

1_Sim50data_8b_mid_det.R Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales" R Syntax - 8.2 KB - MD5: 90cba718e161e6e315da6f421f19f771 Code to simulate data under the mid detection scenario.
1_Sim50data_8b_mid_occ.R Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales" R Syntax - 8.2 KB - MD5: 33f8a74fde9e0dcd257bbbcac4d46c7a Code to simulate data under the mid occupancy scenario.
2_sim_hig_det_4stpm.R Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales" R Syntax - 2.9 KB - MD5: e5a9b0ca9ee130b62c0886aa7a755d95 Code to analyse data from the high detection scenario with the multi-scale occupancy model.
2_sim_hig_occ_4stpm.R Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales" R Syntax - 2.9 KB - MD5: 8d5423789f3d89ed31c2726a7ba0337f Code to analyse data from the high occupancy scenario with the multi-scale occupancy model.
2_sim_low_det_4stpm.R Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales" R Syntax - 3.0 KB - MD5: f3cac1398e5c14f0dda49bb1b89363b4 Code to analyse data from the low detection scenario with the multi-scale occupancy model.
2_sim_low_occ_4stpm.R Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales" R Syntax - 2.9 KB - MD5: b21e2b80791e493b38d0a96187ee81ab Code to analyse data from the low occupancy scenario with the multi-scale occupancy model.
2_sim_mid_det_4stpm.R Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales" R Syntax - 2.9 KB - MD5: b67ccd810eb288e6941b0639e66e5fba Code to analyse data from the mid detection scenario with the multi-scale occupancy model.
2_sim_mid_occ_4stpm.R Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales" R Syntax - 2.9 KB - MD5: 75ff9d070ec42c29fb9658e22a4d0868 Code to analyse data from the mid occupancy scenario with the multi-scale occupancy model.
SimData.RData Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales" R Data - 38.5 MB - MD5: 2febf24f065443d3a72b21479501450c
Replication Data for: Time distribution for pharmacists conducting a randomized controlled trial – an observational time and motion study Mar 22, 2021 Havnes, Kjerstin, 2021, "Replication Data for: Time distribution for pharmacists conducting a randomized controlled trial – an observational time and motion study", https://doi.org/10.18710/PWFB8M, DataverseNO, V1, UNF:6:/squtoJJFkQlJ4Yn6jv8/w== [fileUNF] The data provided is from an observational time and motion study of clinical pharmacists implementing a clinical intervention in a geriatric ward. The aim was to investigate the time distribution for the pharmacists when conducting the randomized controlled trial (RCT) implementi...

1_Sim50data_8b_mid_det.R

Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales"

R Syntax - 8.2 KB -

Code to simulate data under the mid detection scenario.

1_Sim50data_8b_mid_occ.R

Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales"

R Syntax - 8.2 KB -

Code to simulate data under the mid occupancy scenario.

2_sim_hig_det_4stpm.R

Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales"

R Syntax - 2.9 KB -

Code to analyse data from the high detection scenario with the multi-scale occupancy model.

2_sim_hig_occ_4stpm.R

Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales"

R Syntax - 2.9 KB -

Code to analyse data from the high occupancy scenario with the multi-scale occupancy model.

2_sim_low_det_4stpm.R

Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales"

R Syntax - 3.0 KB -

Code to analyse data from the low detection scenario with the multi-scale occupancy model.

2_sim_low_occ_4stpm.R

Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales"

R Syntax - 2.9 KB -

Code to analyse data from the low occupancy scenario with the multi-scale occupancy model.

2_sim_mid_det_4stpm.R

Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales"

R Syntax - 2.9 KB -

Code to analyse data from the mid detection scenario with the multi-scale occupancy model.

2_sim_mid_occ_4stpm.R

Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales"

R Syntax - 2.9 KB -

Code to analyse data from the mid occupancy scenario with the multi-scale occupancy model.

SimData.RData

Mar 23, 2021 - Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales"

R Data - 38.5 MB -

Replication Data for: Time distribution for pharmacists conducting a randomized controlled trial – an observational time and motion study

Mar 22, 2021

Havnes, Kjerstin, 2021, "Replication Data for: Time distribution for pharmacists conducting a randomized controlled trial – an observational time and motion study", https://doi.org/10.18710/PWFB8M, DataverseNO, V1, UNF:6:/squtoJJFkQlJ4Yn6jv8/w== [fileUNF]

The data provided is from an observational time and motion study of clinical pharmacists implementing a clinical intervention in a geriatric ward. The aim was to investigate the time distribution for the pharmacists when conducting the randomized controlled trial (RCT) implementi...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications