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. |
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2021
Dataset Name: Visual Story of Data Storage Data 2021 |
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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. |
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2020
Dataset Name: Classification Mushroom Data 2020 |
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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. |
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Dataset Name: Silicone Uniaxial Test Data 2020 |
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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. |
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2017
Dataset Name: Kidney Boundary Detection Data 2017 |
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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. |
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