Data
2024
| Dataset Name: Molecular Encoder Data 2024 |
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| 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. |
| [View Detailed Page] |
2020
| Dataset Name: Classification Mushroom Data 2020 |
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| Number of Variables: 20 |
| Data Type: Textual Data |
| 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 |
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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. |
| [View Detailed Page] |
2017
| Dataset Name: Kidney Boundary Detection Data 2017 |
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| Number of Variables: Not applicable (image data) |
| Data Type: Medical Image Data |
| 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] |
2015
| Dataset Name: Bacterial Cell Colony Imaging Data 2024 |
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| Number of Variables: Not applicable (image data) |
| Data Type: Microscopy Image Data |
| Number of Instances: 2 movies with 460 images each (4 channels) |
| Key Characteristics: High-resolution time-lapse imaging |
| Description: Comprehensive dataset of time-lapse images of bacterial cell colonies of Sinorhizobium meliloti, focusing on cellular heterogeneity and cell behavior over time. |
| [View Detailed Page] |