Datasets:
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license: mit
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task_categories:
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- time-series-forecasting
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df
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```
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---
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license: mit
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task_categories:
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- time-series-forecasting
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tags:
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- physics
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- magnetism
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- experimental
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- trajectory
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size_categories:
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- n<1K
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---
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# Magnetic Assist Trajectories
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## Dataset Description
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This dataset contains trajectory data representing the movement of an oscillating magnet interacting with another magnet. The data captures the position of the magnet over time, recorded at a rate of 60 frames per second (FPS).
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### Purpose
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This dataset was created for IYPT 2025 competition problem N9. Magnetic Assist. The purpose of this dataset is to analyze the motion dynamics of magnetic interaction **from top view**, specifically in the context of an "oscillating magnet over another magnet". It can be used for:
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- Time-series analysis
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- Physics simulation validation
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- Trajectory prediction
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- Control system design for magnetic assistance devices
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## Dataset Structure
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The dataset consists of a single file `timeseries.csv` with the following columns:
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- **x**: The x-coordinate of the magnet's position.
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- **y**: The y-coordinate of the magnet's position.
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### Data Format
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- **File Format**: CSV (Comma-Separated Values)
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- **Sampling Rate**: 60 Hz (60 samples per second)
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## Data Collection
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The data was generated/recorded from a simulation or experiment involving an oscillating magnet positioned above another magnet. The interaction forces cause the specific trajectory patterns observed in the data.
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## Usage
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```python
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import pandas as pd
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df = pd.read_csv("timeseries.csv")
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print(df.head())
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```
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