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The Stein Rokkan Research Group for Quantitative Social and Political Science

Tromsø Geophysical Observatory

Arctic Language Technology

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8,271 to 8,280 of 11,186 Results

Flickr_PUDper10kmcell_winter.tif Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data TIFF Image - 71.9 KB - MD5: 7d7901a16853e1157a97d5cfd353be10 Raster of tourism intensity in Arctic winter at 10km resolution
Flickr_spatialoverlaps_for_gams.r Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data R Syntax - 8.9 KB - MD5: 43e68bfdd0181ca6c96ee15db365e5ff R script to create hexagonal grids, spatial overlap grid with accessibility and protected area shapefiles to estimate coverage in each grid cell. Spatial overlap of each grid cell with Flickr data.
GAM_footprint.r Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data R Syntax - 10.5 KB - MD5: 31b7e229dbed2f32f763d12f6296f2bd R script to calculate Arctic tourism footprint and make tables & figures for manuscript.
GAM_model_input.R Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data R Syntax - 3.2 KB - MD5: d3f0f6a312bafe134e71e41aa6bd334d R script to calculate PUD (photo-unit-days) in each grid cell.
GAM_models.r Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data R Syntax - 36.4 KB - MD5: 79b429599bb9794425514a7ca8df9e54 R script to make GAM models of accessibility vs presence/absence of tourists and make tables & figures for manuscript.
raw_data_download.r Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data R Syntax - 931 B - MD5: 2fce3b302e7cff2226e892bfd0351bbb R script to download Flickr data for the Arctic
Auroral Image Classification with Deep Neural Networks.ipynb Jan 15, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks Jupyter Notebook - 8.6 KB - MD5: ddd34b7f1d5d9754a71b45d70af39b93 Google colab notebook to training ResNet 18 classifier on aurora dataset.
data.npz Jan 15, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks Unknown - 72.9 MB - MD5: ee2755c2c09b8f2cf8395eae849a1484 Data File containing images and labels stored as numpy arrays.
kagolicens.pdf Jan 15, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks Adobe PDF - 157.5 KB - MD5: d5d42b2e7cf58c748b78d9771ffc3010 Data license.
Study level data for Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis Jan 13, 2020 Låg, Torstein; Sæle, Rannveig Grøm, 2019, "Study level data for Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis", https://doi.org/10.18710/QA8WBZ, DataverseNO, V2 This dataset contains the study-level data used in the meta-analyses reported in the review titled Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis'. The analyses summarize evidence from studies comparing a flipped classroom intervention with traditional teaching. There are three tabular fi...

Flickr_PUDper10kmcell_winter.tif

Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data

TIFF Image - 71.9 KB -

Raster of tourism intensity in Arctic winter at 10km resolution

Flickr_spatialoverlaps_for_gams.r

Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data

R Syntax - 8.9 KB -

R script to create hexagonal grids, spatial overlap grid with accessibility and protected area shapefiles to estimate coverage in each grid cell. Spatial overlap of each grid cell with Flickr data.

GAM_footprint.r

Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data

R Syntax - 10.5 KB -

R script to calculate Arctic tourism footprint and make tables & figures for manuscript.

GAM_model_input.R

Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data

R Syntax - 3.2 KB -

R script to calculate PUD (photo-unit-days) in each grid cell.

GAM_models.r

Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data

R Syntax - 36.4 KB -

R script to make GAM models of accessibility vs presence/absence of tourists and make tables & figures for manuscript.

raw_data_download.r

Feb 6, 2020 - Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data

R Syntax - 931 B -

R script to download Flickr data for the Arctic

Auroral Image Classification with Deep Neural Networks.ipynb

Jan 15, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks

Jupyter Notebook - 8.6 KB -

Google colab notebook to training ResNet 18 classifier on aurora dataset.

data.npz

Jan 15, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks

Unknown - 72.9 MB -

Data

File containing images and labels stored as numpy arrays.

kagolicens.pdf

Jan 15, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks

Adobe PDF - 157.5 KB -

Data license.

Study level data for Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis

Jan 13, 2020

Låg, Torstein; Sæle, Rannveig Grøm, 2019, "Study level data for Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis", https://doi.org/10.18710/QA8WBZ, DataverseNO, V2

This dataset contains the study-level data used in the meta-analyses reported in the review titled Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis'. The analyses summarize evidence from studies comparing a flipped classroom intervention with traditional teaching. There are three tabular fi...

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