Procedure Composite Process Instance – Django REST framework

Get a list of ProcedureComputation objects. ProcedureComputations have a 1:1 mapping with Observations where used.
These may have a number of 2 or more components made up of combinations of Computation and Acquisition records.
The details of the underlying records have been serialised.

### 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:

None
### How to use filters:

None

GET /api/v2/composites/37757/?format=api

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

{
    "ob_id": 37757,
    "computationComponent": [
        {
            "ob_id": 37755,
            "uuid": "d015125d92c14211a83804cbf48738d9",
            "title": "NAME Model computation for MOYA Bolivia BAS Twin Otter flights with modelling",
            "abstract": "NAME model simulation which ran using  the Met Office NAME model at of 0.14° × 0.09° and temporal resolution of 3 hourly. A footprint was simulated for each minute of aircraft sampling to capture the Llanos de Moxos wetlands in Bolivia 2019-03-08 to 2019-03-09\r\nThe NAME model inversion was carried out using footprints simulated from  the NAME Lagrangian particle dispersion model and a hierarchical Bayesian Markov chain Monte Carlo (MCMC) framework",
            "keywords": "",
            "inputDescription": null,
            "outputDescription": null,
            "softwareReference": null,
            "identifier_set": []
        },
        {
            "ob_id": 37756,
            "uuid": "f29a2dce4ec74723a75c85220f98c6cc",
            "title": "GEOSChem model simulation for  MOYA BAS flights in Bolivia",
            "abstract": "A nested GEOS-Chem simulation for the MOYA Bolivia flights 2019-03-08 to 2019-03-09.\r\n\r\nThe GEOS-Chem inverse modeling methodology followed a Bayesian synthesis inversion framework (4). The state vector included 100 elements, 99 corresponding to emissions and one describing the baseline mole fraction. Measurements were averaged into 1-minute  means. Model-measurement uncertainties included the standard deviation of measurements with in each one-minute period and a fixed 8 ppb model uncertainty. A flat prior emissions distribution was used within the Llanos de Moxos basin with emissions of 48 mg CH4/m2/day. A nested GEOS-Chem simulation at 0.25° x 0.3125° was used to map the relationship between emissions  and aircraft measurements in a regional domain bounded by 24 - 0 °S and 75 – 55 °W. Initial  boundary conditions for the nested domain were created by a global GEOS-Chem simulation at 2° x 2.5°.",
            "keywords": "",
            "inputDescription": null,
            "outputDescription": null,
            "softwareReference": null,
            "identifier_set": []
        }
    ],
    "acquisitionComponent": [
        {
            "ob_id": 37754,
            "independentInstrument": [
                13716
            ],
            "instrumentplatformpair_set": []
        }
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180164/?format=api"
    ]
}