Data
2024
| Dataset Name: Peptide and Protein Molecular Encoder Data 2024 | |
|---|---|
| Number of Variables: Not applicable (sequence data) | |
| Data Type: Fasta Files | |
| Number of Instances: Varies by dataset | |
| Key Characteristics: Categorical | |
| Description: Comprehensive data on molecular encodings and representations for machine learning tasks, particularly focusing on peptide and protein classification. | |
| [View Detailed Page] |
2021
| Dataset Name: Visual Story of Data Storage Data 2021 | |
|---|---|
| Number of Variables: 9 | |
| Data Type: Historical Data | |
| Number of Instances: 28 storage technologies | |
| Key Characteristics: Quantitative and Categorical | |
| Description: Historical overview of data storage technologies, detailing their properties and evolution. | |
| [View Detailed Page] |
2020
| Dataset Name: Classification Mushroom Data Set 2020 | |
|---|---|
| Number of Variables: 20 | |
| Data Type: Textual | |
| Number of Instances: 61,069 | |
| Key Characteristics: Multivariate | |
| Description: Comprehensive overview of mushroom species focusing on classification as edible or poisonous. | |
| [View Detailed Page] |
| Dataset Name: Silicone Uniaxial Test Data 2020 | |
|---|---|
| Number of Variables: 3 | |
| Data Type: Measurement Data | |
| Number of Instances: 5 silicone mixtures (M1 to M5) | |
| Key Characteristics: Quantitative | |
| Description: Analysis of stress-strain relationships in silicone mixtures for the design of silicone-based organ replicas. | |
| [View Detailed Page] |
2017
| Dataset Name: Kidney Boundary Detection Data 2017 | |
|---|---|
| Number of Variables: Not applicable (image data) | |
| Data Type: Medical Imaging | |
| Number of Instances: 100 annotated images | |
| Key Characteristics: Quantitative | |
| Description: Focuses on the detection of kidney boundaries in medical imaging, providing a dataset for training and evaluating segmentation algorithms. | |
| [View Detailed Page] |