---
license: mit
task_categories:
- time-series-forecasting
tags:
- physics
- magnetism
- experimental
- trajectory
size_categories:
- n<1K
---

# Magnetic Assist Trajectories

## Dataset Description

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).

### Purpose
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:
- Time-series analysis
- Physics simulation validation
- Trajectory prediction
- Control system design for magnetic assistance devices

## Dataset Structure

The dataset consists of a single file `timeseries.csv` with the following columns:

- **x**: The x-coordinate of the magnet's position.
- **y**: The y-coordinate of the magnet's position.

### Data Format
- **File Format**: CSV (Comma-Separated Values)
- **Sampling Rate**: 60 Hz (60 samples per second)

## Data Collection

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.

## Usage

```python
import pandas as pd

df = pd.read_csv("timeseries.csv")
print(df.head())
```