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:

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GET /api/v2/composites/44822/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 44822,
    "computationComponent": [
        {
            "ob_id": 44825,
            "uuid": "74c87adf0d5d43f2a5e9336754afcfe3",
            "title": "Computation for Deformation, Strains, and Velocities for the Tibetan Plateau",
            "abstract": "Approximately 44,500 Sentinel-1 SAR acquisitions were processed to generate around 341,400 interferograms at ~100 m resolution using the automated COMET-LiCSAR system. The Tibetan Plateau was divided into 127 ascending and 114 descending frames (each approximately 250 km wide), forming short-baseline interferometric networks with additional 6- and 12-month pairs to reduce phase bias.\r\n\r\nUsing LiCSBAS, line-of-sight displacement time series and average velocities at ~1 km resolution were estimated. Corrections were applied for tropospheric, ionospheric, and solid Earth tidal effects. Velocity uncertainties were flattened via semi-variogram analysis, and Eurasian plate motion was subtracted from all frames.\r\n\r\nA total of 18,203 GNSS velocities and 6,607 levelling rates were compiled from 131 studies published since 2013. The dataset was refined by removing outliers, aligning studies via Euler poles, eliminating outdated or duplicate entries, and merging collocated measurements.\r\n\r\nTo construct a unified coarse velocity model integrating GNSS, levelling, and InSAR data, the velmap approach was followed. This involved inverting for 3D velocities at each node of a triangular mesh spaced by ~0.2° in longitude and latitude, along with frame-specific reference frame adjustment parameters and linear-with-height atmospheric correction terms. The reference frame adjustment parameters consisted of a second-order polynomial surface, and regularization was applied using Laplacian smoothing.\r\n\r\nEast-west and vertical velocities were derived from georeferenced mosaics of ascending and descending line-of-sight velocities, using coarse north-south velocities as constraints. Horizontal strain and rotation rates were calculated from velocity gradients, with spherical corrections applied. A 150 km median filter was applied to east-west velocities to balance resolution and noise.\r\n\r\nFurther details are available in Wright et al. (2025, Science).",
            "keywords": "",
            "inputDescription": null,
            "outputDescription": null,
            "softwareReference": null,
            "identifier_set": []
        }
    ],
    "acquisitionComponent": [
        {
            "ob_id": 12318,
            "independentInstrument": [],
            "instrumentplatformpair_set": [
                {
                    "ob_id": 4316,
                    "platform": "https://api.catalogue.ceda.ac.uk/api/v2/platforms/12319/?format=api",
                    "instrument": "https://api.catalogue.ceda.ac.uk/api/v2/instruments/12313/?format=api",
                    "relatedTo": {
                        "ob_id": 12318,
                        "uuid": "f95b77f14a554727a1975802b25ad8a7",
                        "short_code": "acq"
                    }
                }
            ]
        },
        {
            "ob_id": 20018,
            "independentInstrument": [],
            "instrumentplatformpair_set": [
                {
                    "ob_id": 10863,
                    "platform": "https://api.catalogue.ceda.ac.uk/api/v2/platforms/20017/?format=api",
                    "instrument": "https://api.catalogue.ceda.ac.uk/api/v2/instruments/12313/?format=api",
                    "relatedTo": {
                        "ob_id": 20018,
                        "uuid": "c28a3a6627354dd19363ac971116b0d8",
                        "short_code": "acq"
                    }
                }
            ]
        }
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214642/?format=api"
    ]
}