Get a list of ProcedureComputation objects. ProcedureComputations have a 1:1 mapping with Observations.

### Available end points:

- `/ProcedureComputations/` - Will list all ProcedureComputations in the database
- `/ProcedureComputations.json` - Will return all ProcedureComputations in json format
- `/ProcedureComputations/<object_id>/` - Returns ProcedureComputations object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

- `uuid`
- `title`
- `keywords`
- `abstract`

### How to use filters:

These filters can be used like django query filters using __ for related model relationships.

- `/computations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/computations/?title__startswith!=DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE`
- `/computations/?abstract__contains=HadCM3 model`

GET /api/v2/computations/40382/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 40382,
    "uuid": "a7dbc7a3bfcf4f6b84155a6b15a72805",
    "title": "Run-mean computation from MASIN and the MetUM 2.2 km from the Iceland Greenland Sea's Project (IGP) field campaign",
    "abstract": "Each long-run leg is divided into 150-second (~9 km) sections (\"runs\"), over which the flight data is averaged and fluxes are derived. The distance 9 km was chosen as analysis from the Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA) project showed this length to be optimal for sampling turbulence over sea ice (i.e. the minimum length required to sample the dominant turbulent length scales - the larger the run length the more likely the calculated fluxes are to be influenced by mesoscale circulations and broad changes in surface characteristics, and the fewer data points will be got)",
    "keywords": "",
    "inputDescription": null,
    "outputDescription": null,
    "softwareReference": null,
    "identifier_set": []
}