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/37272/?format=api

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

{
    "ob_id": 37272,
    "uuid": "fcb7fdc77242484293f59a8b39c15adc",
    "title": "Computation for Global ocean-ice and pan-Arctic sea ice simulations with different sea ice physics and atmospheric forcing data sets",
    "abstract": "6 forced ocean-ice simulations and 2 stand-alone ice simulations to document the impact of sea ice physics and\\ \\ atmospheric forcing data on the Arctic sea ice evolution. All of them use the\\ \\ same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) and the ocean-ice\\ \\ ones the same ocean model NEMO GO6.0 (Storkey et al., 2018) as HadGEM3. Three\\ \\ different atmospheric forcing data set are applied: NCEP Reanalysis-2 (NCEP2)\\ \\ data (Kanamitsu et al., 2002, updated 2020), CORE II surface data (Large & Yeager,\\ \\ 2009) and the atmospheric forcing data set DFS5.2 (Dussin et al., 2016). Regarding\\ \\ the sea ice component, we use the default CICE setup as in HadGEM3 (CICE-default)\\ \\ and an advanced setup (CICE-best) in which a new process is added (snow loss due\\ \\ to drifting snow) and some adjustments have been made to model physics and parameters.\\ \\ \\n\\nThe simulations were performed by the Centre of Polar Observation and Modelling\\ \\ (CPOM) at University of Reading under the ACSIS project",
    "keywords": "",
    "inputDescription": null,
    "outputDescription": null,
    "softwareReference": null,
    "identifier_set": []
}