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8,521 to 8,530 of 11,437 Results

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...
00_ReadMe.txt Jan 13, 2020 - Study level data for Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis Plain Text - 4.8 KB - MD5: 0c117efa4acb9204223f8cb960b805bc
Replication Data for: Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard Jan 10, 2020 Silyakova, Anna; Jansson, Pär; Serov, Pavel; Ferré, Benedicte; Pavlov, Alexey; Hattermann, Tore; Graves, Carolyn; Platt, Stephen Matthew; Lund, Myhre Cathrine; Gründger, Friederike; Niemann, Helge, 2020, "Replication Data for: Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard", https://doi.org/10.18710/VGQYLQ, DataverseNO, V1 Data are the basis for the publication "Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard" by Silyakova and co-authors. It was prepared at CAGE, Centre for Arctic Gas Hydrate, Environment and Climate, Department of Geoscienses, UiT Arctic University of Tromsø. The paper is published in Continental Shelf Rese...
00_README_main.txt Jan 10, 2020 - Replication Data for: Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard Plain Text - 903 B - MD5: 4a103362dfff9af6ab15cad7ddd9df39

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...

00_ReadMe.txt

Jan 13, 2020 - Study level data for Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis

Plain Text - 4.8 KB -

Replication Data for: Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard

Jan 10, 2020

Silyakova, Anna; Jansson, Pär; Serov, Pavel; Ferré, Benedicte; Pavlov, Alexey; Hattermann, Tore; Graves, Carolyn; Platt, Stephen Matthew; Lund, Myhre Cathrine; Gründger, Friederike; Niemann, Helge, 2020, "Replication Data for: Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard", https://doi.org/10.18710/VGQYLQ, DataverseNO, V1

Data are the basis for the publication "Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard" by Silyakova and co-authors. It was prepared at CAGE, Centre for Arctic Gas Hydrate, Environment and Climate, Department of Geoscienses, UiT Arctic University of Tromsø. The paper is published in Continental Shelf Rese...

00_README_main.txt

Jan 10, 2020 - Replication Data for: Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard

Plain Text - 903 B -

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