Procedure Computation Instance – Django REST framework

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/3899/?format=api

HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 3899,
    "uuid": "1000ef7ddcdb4008ad7b84bce75f2f38",
    "title": "The Goddard Chemistry Climate Model. (GEOS CCM) deployed on GSFC (Goddard Space Flight Centre) Computers",
    "abstract": "This computation involved: The Goddard Chemistry Climate Model. (GEOS CCM) deployed on GSFC (Goddard Space Flight Centre) Computers.  The Goddard Chemistry Climate Model (GEOS CCM) explores how changes in the levels and locations of ozone precursor emissions, (such as nitrogen oxides NO and NO2; referred to as NOx), carbon monoxide (CO) and volatile organic compounds (VOCs), including methane, could aﬀect tropospheric ozone abundances, from the pre-industrial period to future projections.\r\n\r\nThe Goddard Chemistry Climate Model (GEOS CCM) explores how changes in the levels and locations of ozone precursor emissions, (such as nitrogen oxides NO and NO; referred to as NO, carbon monoxide (CO) and volatile organic compounds (VOCs), including methane, could tropospheric ozone abundances, from the pre-industrial period to future projections.",
    "keywords": "",
    "inputDescription": null,
    "outputDescription": null,
    "softwareReference": null,
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2643/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2644/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2645/?format=api"
    ]
}