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02_Data_university_current.txt Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units Plain Text - 884 B - MD5: fd310e7de8be8a2513fe605cb4f047ce Data
03_Data_university_implemented.txt Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units Plain Text - 884 B - MD5: 7f8dbde8db187d8795aebc722a7a3b3d Data
04_Data_university_tool_solution.txt Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units Plain Text - 902 B - MD5: 71afd40376c9f408f83d35175935bbfd Data
05_Data_manufacturing_firm.tab Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units Tabular Data - 11.0 KB - 49 Variables, 83 Observations - UNF:6:ifEGryTD4bsPgES4ZYkfEg== Data
06_Data_manufacturing_firm_current.txt Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units Plain Text - 4.5 KB - MD5: 83b923ad021662db1ba7e64870326d1c Data
07_Data_manufacturing_firm_optimized.txt Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units Plain Text - 2.4 KB - MD5: ae01bf16870b5b0abb99ecf2a721a2b3 Data
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.
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

02_Data_university_current.txt

Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units

Plain Text - 884 B -

Data

03_Data_university_implemented.txt

Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units

Plain Text - 884 B -

Data

04_Data_university_tool_solution.txt

Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units

Plain Text - 902 B -

Data

05_Data_manufacturing_firm.tab

Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units

Tabular Data - 11.0 KB - 49 Variables, 83 Observations -

Data

06_Data_manufacturing_firm_current.txt

Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units

Plain Text - 4.5 KB -

Data

07_Data_manufacturing_firm_optimized.txt

Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units

Plain Text - 2.4 KB -

Data

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.

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 -

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