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Jan 6, 2026
Khatri, Shumaila; Sjølie, Hanne K.; Nyrud, Anders Q., 2026, "Replication Data for: Municipalities as buyers of reclaimed building material: Previous experience and future outlook", https://doi.org/10.18710/0OHXF7, DataverseNO, V1
Data was collected from 104 municipalities in Norway via phone interviews administered by Norstat AS. The data collection period was 19th August till 5th September 2024. The study aims to investigate factors that would convince public buyers to incorporate recycled construction materials in their tender process. For this purpose, municipal represen...
Plain Text - 7.1 KB - MD5: 8e931d3e10f07481cd3161c659acd868
README file for Municipality_dataset.csv
Comma Separated Values - 6.9 KB - MD5: a7e6dfb256e46b42c6680e55081f99bc
The dataset file.
Nov 12, 2025
Kirchner, Theresa M; Devineau, Olivier; Thompson, Daniel P; Thiel, Alexandra; Chimienti, Marianna; Evans, Alina L; Crouse, John; Eriksen, Ane, 2025, "Programming code for article: Predicting energy expenditure from dynamic body acceleration in a large boreal ungulate species", https://doi.org/10.18710/3EB2DM, DataverseNO, V1
These files contain code to prepare data for and fit a dynamic generalized additive model to predict energy heart rate and energy expenditure from dynamic body acceleration in moose (Alces alces). In this study, we collected heart rate data using implanted loggers and accelerometer data using tri-axial accelerometer collars. To quantify heart rate...
R Syntax - 8.2 KB - MD5: 3da9a28b237125dc23df834a54db97e1
Time drift correction of HR logger measurements
R Syntax - 13.7 KB - MD5: 8d216d940d8f850882ceef151c705c1a
Manual validation of HR logger measurements
R Syntax - 7.5 KB - MD5: c65364fe42d51ee3e733a75217ce6170
Prepare accelerometer data to predict behavior using random forest model (Kirchner et al. 2023)
R Syntax - 3.3 KB - MD5: 952f91918bb5729986bc4258d7baab7c
Join heart rate and ODBA and behavioral data by timestamps
R Syntax - 5.0 KB - MD5: c248bfdfa494fe15c98a01b95046f964
Create final dataset (combine data from all individuals and filter)
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