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4,571 to 4,580 of 10,650 Results

Structural_measurements_megabreccia.xls Apr 22, 2021 - Replication data for "Middle Pennsylvanian megabreccia along the Odellfjellet Fault in Billefjorden, central Spitsbergen" MS Excel Spreadsheet - 42.5 KB - MD5: fab4f606120350c1147df02013c336bd Structural measurements within the megabreccia deposit including the Scanline graph.
00_ReadMe.txt Apr 14, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks Plain Text - 4.6 KB - MD5: 6c25a3fdae5cc8db0938a055991b217e ReadMe file where dataset and the files in repository is described.
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.
TestImages.zip Apr 14, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks ZIP Archive - 10.2 MB - MD5: b1ff172b00f06c86dd82c021683d451e Zipped archive containing the test images of the dataset in .PNG format. The class of the image is included in the image title.
TrainingImages.zip Apr 14, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks ZIP Archive - 35.8 MB - MD5: b27e63cd55a51e756d0c387a1b7be893 Zipped archive containing the training images of the dataset in .PNG format. The class of the image is included in the image title.
01_README_file_KnowingAndDoing.txt Mar 9, 2021 - Replication Data for: Knowing and doing: The development of information literacy measures to assess knowledge and practice Plain Text - 7.3 KB - MD5: ccf051c7b66c5b54337ea56996b074ec This file is necessary to understand the other files.
Assignment_based_measures_for_assessing_IL_skills.pdf Mar 9, 2021 - Replication Data for: Knowing and doing: The development of information literacy measures to assess knowledge and practice Adobe PDF - 781.7 KB - MD5: 1a21572a94fc2dffa011cc3d8e970d35 This file describes the two assignment-based measures that were used to measure students' information literacy skills: 1) source evaluation measure; 2) source use measure. These measures were designed to assess students' skills in practice, using authentic assignments, when evaluating and using information sources.
DataFile_KnowingAndDoing.txt Nov 13, 2020 - Replication Data for: Knowing and doing: The development of information literacy measures to assess knowledge and practice Plain Text - 57.2 KB - MD5: d0f94e402cdd38e9aeb6d81c0922a7fa This data file contains the replication data for the article "Knowing and doing: The development of information literacy measures to assess knowledge and practice." The file includes data collected from three measures: 1) a 21-item IL test for assessing students' knowledge of three aspects of IL: evaluating sources, using sources, and seekin...

Structural_measurements_megabreccia.xls

Apr 22, 2021 - Replication data for "Middle Pennsylvanian megabreccia along the Odellfjellet Fault in Billefjorden, central Spitsbergen"

MS Excel Spreadsheet - 42.5 KB -

Structural measurements within the megabreccia deposit including the Scanline graph.

00_ReadMe.txt

Apr 14, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks

Plain Text - 4.6 KB -

ReadMe file where dataset and the files in repository is described.

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.

TestImages.zip

Apr 14, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks

ZIP Archive - 10.2 MB -

Zipped archive containing the test images of the dataset in .PNG format. The class of the image is included in the image title.

TrainingImages.zip

Apr 14, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks

ZIP Archive - 35.8 MB -

Zipped archive containing the training images of the dataset in .PNG format. The class of the image is included in the image title.

01_README_file_KnowingAndDoing.txt

Mar 9, 2021 - Replication Data for: Knowing and doing: The development of information literacy measures to assess knowledge and practice

Plain Text - 7.3 KB -

This file is necessary to understand the other files.

Assignment_based_measures_for_assessing_IL_skills.pdf

Mar 9, 2021 - Replication Data for: Knowing and doing: The development of information literacy measures to assess knowledge and practice

Adobe PDF - 781.7 KB -

This file describes the two assignment-based measures that were used to measure students' information literacy skills: 1) source evaluation measure; 2) source use measure. These measures were designed to assess students' skills in practice, using authentic assignments, when evaluating and using information sources.

DataFile_KnowingAndDoing.txt

Nov 13, 2020 - Replication Data for: Knowing and doing: The development of information literacy measures to assess knowledge and practice

Plain Text - 57.2 KB -

This data file contains the replication data for the article "Knowing and doing: The development of information literacy measures to assess knowledge and practice." The file includes data collected from three measures: 1) a 21-item IL test for assessing students' knowledge of three aspects of IL: evaluating sources, using sources, and seekin...

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