---
language:
- "en"
pretty_name: "Recon2025AHONT1"
tags:
- audio-to-3d
- 3d-reconstruction
license: "other"
task_categories:
- text-to-3d
- image-to-3d
size_categories:
- "n<1K"
modalities:
- images
- text
annotations_creators:
- no-annotation
source_datasets:
- original
---

[https://huggingface.co/datasets/ajsbsd/recon2025AHONT1](https://huggingface.co/datasets/ajsbsd/recon2025AHONT1)

## 📂 Data Source
colorbar [ERROR]: CPT <stdin> has no z-slices!
[Session pygmt-session (9)]: Error returned from GMT API: GMT_CPT_READ_ERROR (8)
[Session pygmt-session (9)]: Error returned from GMT API: GMT_CPT_READ_ERROR (8)
The original aircraft reconnaissance data comes from the National Hurricane Center's archive.

[View source TXT files](https://www.nhc.noaa.gov/archive/recon/2025/AHONT1/)

# Recon2025AHONT1 Dataset

This dataset contains multimodal data for 3D reconstruction experiments, potentially linked to models like Hunyuan3D.

## 📥 Install Required Tools

To work with Hugging Face datasets in Python:

```bash
pip install datasets
pip install pillow soundfile numpy
pip install pillow soundfile huggingface_hub
```

## Visual Example

```python
import pygmt
import pandas as pd

# Sample DataFrame
data = {
    "longitude": [-90.47, -90.45, -90.44, -90.42, -90.40, -90.38, -90.36],
    "latitude": [28.27, 28.29, 28.31, 28.33, 28.35, 28.37, 28.39],
    "temp": [-18.5, -18.5, -18.5, -18.5, -18.5, -18.5, -18.2]  # One different value
}

df = pd.DataFrame(data)

fig = pygmt.Figure()

# Set region based on data
minlon, maxlon = df["longitude"].min() - 1, df["longitude"].max() + 1
minlat, maxlat = df["latitude"].min() - 1, df["latitude"].max() + 1

# Create basemap
fig.basemap(region=[minlon, maxlon, minlat, maxlat], projection="M15c", frame=True)
fig.coast(shorelines="1/0.5p", land="lightgray", water="white")

# Define CPT based on temperature range
pygmt.makecpt(cmap="hot", series=[df["temp"].min(), df["temp"].max()])

# Plot colored points
fig.plot(
    x=df["longitude"],
    y=df["latitude"],
    style="c0.5c",
    cmap=True,
    fill=df["temp"],
    pen="black"
)

# Add colorbar
fig.colorbar(frame='af+l"Temperature (°C)"')

fig.show()
```
![Heatmap](https://huggingface.co/datasets/ajsbsd/recon2025AHONT1/resolve/main/output_plot.png)