> ## Documentation Index
> Fetch the complete documentation index at: https://data.avert.ldeo.columbia.edu/llms.txt
> Use this file to discover all available pages before exploring further.

# Data Access

> How to access the data

Images captured by cameras directed towards our target volcanoes (currently just Cleveland volcano, in the Aleutians) are available for browsing and download through our [web archive browser](https://avert.ldeo.columbia.edu/tools/imagery-browser?type=infrared), or can be downloaded via our data API using a command line tool, such as cURL, or the Python requests library.

**📖 Complete API Documentation**: For detailed API reference with interactive examples, see our [Infrared Imagery API Documentation](https://docs.avert.ldeo.columbia.edu/api-reference/imagery/infrared-query).

<Warning>
  **API v2.0.0 is now available!** The v1 API is now in legacy mode. We strongly recommend migrating to v2 for a unified endpoint, better filtering, and improved features. [Learn more about v2](/api-reference/v2/introduction) or [view migration guide](/api-reference/v2/migration-guide).
</Warning>

An example of how to access the data via the API is shown below:

```Python theme={null}
import requests

# Query for infrared images
response = requests.get(
    "https://avert-legacy.ldeo.columbia.edu/api/imagery/infrared/query",
    params={
        "site": "CLNE",
        "vnum": 311240,
        "search_from": "2022-10-01T00:00",
        "search_to": "2022-10-02T00:00",
        "limit": 10  # Control result size
    }
)

images = response.json()

# Download images as ZIP if ≤100 results
if len(images) <= 100:
    zip_response = requests.get(
        "https://avert-legacy.ldeo.columbia.edu/api/imagery/infrared/query",
        params={
            "site": "CLNE",
            "vnum": 311240,
            "search_from": "2022-10-01T00:00",
            "search_to": "2022-10-02T00:00",
            "download": True
        }
    )
    with open("infrared_images.zip", "wb") as f:
        f.write(zip_response.content)

# Or download individual images
for image in images:
    image_response = requests.get(
        f"https://avert-legacy.ldeo.columbia.edu/api/imagery/infrared/r/{image['image_id']}",
        params={"download": True}
    )
    with open(f"infrared_{image['image_id']}.jpg", "wb") as f:
        f.write(image_response.content)
```