1 to 10 of 1,119 Results
Apr 10, 2026
Pedersen, Simen; Pedersen, Hans Christian; Kalleberg, Stian; Mayer, Martin, 2026, "Replication Data for: Leap, Hare, Leap! Long-distance dispersal in mountain hare revealed by GPS collaring", https://doi.org/10.18710/1LMWOV, DataverseNO, V1
This dataset contains position data of the dispersal event of a subadult male hare no. 706, as well as position data of its new home range. Data ranges from January 13th 2025 to January 16th 2026. As part of a study of mountain hare (Lepus timidus) behavioural responses to coat colour mismatch (HareKlima), we initiated capturing mountain hares in F... |
Apr 10, 2026 -
Replication Data for: Leap, Hare, Leap! Long-distance dispersal in mountain hare revealed by GPS collaring
Plain Text - 2.4 KB -
MD5: c11023a002a9a4fd5dab3fb327db3895
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Apr 10, 2026 -
Replication Data for: Leap, Hare, Leap! Long-distance dispersal in mountain hare revealed by GPS collaring
Comma Separated Values - 243.3 KB -
MD5: 566f0bde9003da169389331e96fa9ca7
Position data of hare 706 |
Mar 25, 2026
Chidimma Echebiri; Ellefsen, Stian; Ahmad, Rafi; Hammarström, Daniel, 2026, "Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data", https://doi.org/10.18710/I7U71O, DataverseNO, V1
The datasets in this repository contain simulated data and results from their analyses, which can be used to replicate the results in the paper "seqwrap: an R package for flexible iterative fitting of high-dimensional data". The files in this folder should be placed in a folder named `data_sim` and added to the root folder available at https://www.... |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Plain Text - 5.3 KB -
MD5: 45b711f581c7c1255906694020427d97
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Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 4.4 MB -
MD5: ccfc5648379a12331d70d4db737a5551
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 4.4 MB -
MD5: 1a54cbae199a32e7cf0cdaa5fb3750a5
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 4.3 MB -
MD5: 62101cb0fd16e44dcac8d0aca74d82d0
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 4.4 MB -
MD5: f6a8045a054436c9753480d8c234aac7
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 4.4 MB -
MD5: 80eb899fe3c097609edd7d0d0c1e8e04
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario. |
