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/32019/?format=api

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

{
    "ob_id": 32019,
    "uuid": "274394c4ad894ce092febb501fd53288",
    "title": "Derivation of the ESA CCI SST v2.1 Obs4MIPS format data",
    "abstract": "The Obs4MIPs dataset produced from the ESA Climate Change Initiatve Sea Surface Temperature v2.1 analysis, has been obtained from post-processing of >4 trillion individual skin sea surface\r\ntemperature (SST-skin) retrievals from infra-red imagery of sensors on Earth observing\r\nsatellites. \r\n\r\nThe main post-processing steps are:\r\n 1) the addition to the SST-skin of adjustments to daily-mean SST at a nominal depth of\r\n20 cm, resulting in an estimate of “SST-depth” \r\n2) the uncertainty-weighted combination of SST-depth values from all the sensors to\r\nmake a daily-gap-free SST analysis at 0.05 degree latitude-longitude resolution\r\n3)  the averaging and uncertainty propagation from the daily SST analysis to monthly 1 degree\r\ndata\r\n\r\nIn the processing, ERA-Interim fields are used as ancillary information with minimized\r\ninfluence on the SST outcome. Consistent fields of sea ice fraction and sea fraction are also\r\nprovided. The sea ice fraction is obtained from the Ocean and Sea-Ice Satellite Application\r\nFacility [and the sea fraction accounts for ice from the same product and also the\r\npresence or not of land in the cell, determined from a surface classification dataset.\r\n\r\nFor a high-level description of the processing steps see Merchant et al, 2019",
    "keywords": "",
    "inputDescription": null,
    "outputDescription": null,
    "softwareReference": null,
    "identifier_set": []
}