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831 to 840 of 1,119 Results
Plain Text - 50.8 KB - MD5: 52143e32de8c1c9de65f5fbe6d937855
Contains the entire texts produced by the informants involved in a classroom intervention in Norway (2 elicitation points) and a Finnish online survery (2 elicitation points). The file contains the prompt given the metaphor produced (if any) and the justification given (if any). Text length varies between approximately 100-300 words.
Adobe PDF - 2.6 MB - MD5: 9ac8e692e163f6831653ddb0e7429c6f
Contains all material developed for a metaphor-led classroom intervention in a Norwegian upper secondary English classroom
Adobe PDF - 284.2 KB - MD5: 7ca71068ca8af5b89fefe005f315e276
Contains the metadata questionaire given to informants for the classroom intervention in a Norwegian upper secondary school
Adobe PDF - 433.2 KB - MD5: ace72db508f500f03b5ee0d2db539475
Contains the information and consent form given to (potential) informants for the classroom intervention in a Norwegian upper secondary school
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
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