1 to 10 of 103,506 Results
Dec 22, 2025
Stein Dankert Kolstø; Matthias Stadler, 2024, "Background data for: Sense-making through hybrid talk: High-achieving secondary students’ language use during practical work", https://doi.org/10.18710/3UZELZ, DataverseNO, V2
The data consists of transcribed recordings of classroom dialogues in two grade 11 classrooms during two 4 hour science lessons. All data is in Norwegian. The data was collected during teacher planned ordinary science lessons at a upper secondary school. Data were collected in 2017 using whole-class video recordings (camera pointing towards the fro... |
Dec 22, 2025 -
Background data for: Sense-making through hybrid talk: High-achieving secondary students’ language use during practical work
Plain Text - 14.0 KB -
MD5: 1d41f25b36499727656ad22beee7ab23
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Dec 22, 2025 -
Background data for: Sense-making through hybrid talk: High-achieving secondary students’ language use during practical work
Plain Text - 9.9 KB -
MD5: 5b81a17924fcb1a489277c4e83ffec18
Data_Privacy_Assessment |
Sep 8, 2025
Berge Osnes, 2025, "Replication Data for: The relation between auditory cognitive control and vagally-mediated heart rate variability in and outside the lab: Differential effects of circadian rhythm?", https://doi.org/10.18710/I3FMY0, DataverseNO, V1
This dataset consists of vagally mediated heart rate variability (HRV; Root Mean Square of Successive Differences) and auditory cognitive control using the Bergen Dichotic Listening (BDL) task, including the forced-left (FL) and forced-right (FR) conditions of the BDL. Resting HRV was recorded, followed by ambulatory HRV monitoring at different tim... |
Plain Text - 6.4 KB -
MD5: 3794e46948ec33a3a58dd966c8082496
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Comma Separated Values - 14.3 KB -
MD5: 1d39de6b2e61da8fbbc918a213afca49
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R Syntax - 20.8 KB -
MD5: b153bd6e62fc70b33effe2469093238d
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Aug 8, 2025
Auer, Andreea Gabriela; van der Bilt, Willem G. M.; Bertrand, Sebastien; Hasal, Katarzyna, 2025, "Replication Data for: Micrometer-scale sediment grain-size prediction using X-Ray Fluorescence geochemistry and Computed Tomography density scanning data", https://doi.org/10.18710/8I9G81, DataverseNO, V1
This dataset contains the data generated for the study "Micrometer-scale sediment grain-size prediction using X-Ray Fluorescence geochemistry and Computed Tomography density scanning data" by Auer et al. 2025. The study presents a method that allows micrometer-scale prediction of mean grain size. The authors integrate grain size-sensitive Computed... |
Plain Text - 14.4 KB -
MD5: b07e6414efb9a29b1fd3e09b256ed278
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Plain Text - 3.2 KB -
MD5: c3e454deff4d09b49c5156fefc87030a
Grain size measurements, CT density, and XRF values for the dry, quartz-filled synthetic sediment boxes |
