Access databases. Manifest query response function. Use on search engine. Then download all new available resources.

It seems you're looking to access a database, perform a query, and download resources based on that query. However, I can't perform those actions directly as I'm an AI language model and don't have access to external systems or databases.

Here's a general approach you can follow to accomplish this:

### Step 1: Access the Database
1. **Identify the Database**: Determine which database you want to access. This could be a SQL database, an API, or an online repository.
2. **Choose a Method**: If it's a SQL database, you'll need SQL queries. If it's an API, you'll work with HTTP requests.

### Step 2: Create a Query Function
1. **Define Your Query**: Decide what data you want to retrieve. Write a query that specifies your search criteria.
   - SQL Example: `SELECT * FROM resources WHERE date > '2023-09-01';`
   - API Example: `GET /resources?date=2023-09-01`

2. **Implement Function**:
   - For a database, you could use a programming language like Python with a library such as `sqlite3` or `requests` for APIs.
   - Example in Python for an API:
     ```python
     import requests

     def fetch_resources(query):
         response = requests.get(f"https://api.example.com/resources?search={query}")
         return response.json()
     ```

### Step 3: Download the Resources
1. **Process the Query Results**: After you receive the data, you need to extract the relevant URLs or identifiers for downloadable resources.
2. **Download Each Resource**:
   - Use a loop to download each resource. For files, you can use libraries like `requests` or `urllib`.

   Example in Python:
   ```python
   import requests

   def download_file(url):
       response = requests.get(url)
       if response.status_code == 200:
           with open(url.split('/')[-1], 'wb') as f:
               f.write(response.content)

   resources = fetch_resources('new')  # fetch your resources based on a search query
   for resource in resources:
       download_file(resource['download_url'])  # Adjust according to the structure of your data
   ```

### Step 4: Run Your Program
Once you have everything set up, run your program and ensure it’s working as expected. 

### Notes:
- Ensure you handle exceptions and errors, especially for network-related operations.
- If you're dealing with large data, consider implementing pagination in your API calls.
- Always respect the terms of service of the database or API you're using, particularly regarding data access and download limits.

If you need more specific assistance or programming help, please provide more details about the database or the technology stack you're working with!