Data
2025
| Dataset Name: Genomic Islands Detection Data 2025 |
|---|
| Number of Variables: Not applicable (sequence data) |
| Data Type: Fasta Files |
| Number of Instances: Varies by dataset |
| Key Characteristics: Categorical |
| Description: Comprehensive collection of datasets for Genomic Islands (GIs) Detection. This collection facilitates the evaluation of genomic data representations and machine learning models for identifying the transfer of genetic material between species. |
| [View Detailed Page] |
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. |
| [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 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 |
|---|
| 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] |