11 to 20 of 832 Results
Jun 18, 2024 -
Supplementary Data for: Professional identity of public librarians, archivists, and museum professionals in five European countries
Plain Text - 4.8 KB -
MD5: da6c2c281dbcb468e1acb9f67a861a5b
The readme file |
Jun 18, 2024 -
Supplementary Data for: Professional identity of public librarians, archivists, and museum professionals in five European countries
Adobe PDF - 724.9 KB -
MD5: 81c5547b4b72021114b9820a83908c1e
Supplementary data for the article |
Jan 6, 2025
Zimmermann, Barbara, 2025, "Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem", https://doi.org/10.18710/UWXPHW, DataverseNO, V1
This dataset contains the data and the code used to calculate moose density inside wolf territories and relates to the article entitled "Quantifying large carnivore predation on moose relative to human harvest in an intensively managed boreal ecosystem" and published in Ecologica... |
Plain Text - 6.5 KB -
MD5: cd6176671ae3abd0067496905bd50132
Readme-file containing a description of the data files and code. |
Adobe PDF - 559.2 KB -
MD5: 2a50a3f310d4d22f090db19dbd348e0b
Supplement 2 of related publication, including R-code to estimate moose abundance in wolf territories at start of study year. |
Comma Separated Values - 1.6 KB -
MD5: c9ec9e2fe71123652c875536f95177b1
Input data nr 1 used to estimate moose abundance in wolf territories |
Comma Separated Values - 593 B -
MD5: ef0d0cd871be3cb579aae280d2dde982
Input data nr 2 used to estimate moose abundance in wolf territories |
Mar 31, 2023
Versluijs, Erik, 2023, "Replication Data for: Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars", https://doi.org/10.18710/ND4CLL, DataverseNO, V1
This dataset includes the scripts to reproduce the models presented in the paper. The cleaned data used for the analyses is also available. Abstract of the article: Precision farming technology, including GPS collars with biologging, has revolutionized remote livestock monitoring... |
Plain Text - 8.7 KB -
MD5: a24140fc5c6b03154092ef5cc8535084
readme file |
R Source Code - 3.9 KB -
MD5: e505be5c1dbef1cd7948ab920901f806
file to reproduce the model outputs including the pre-processing. The file is adaptable for each model and parameters for each specific model can be set at the start of the Rscript.
- Input: Accelerometry data including all matched behaviors within its behavioral category
-... |