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/45212/?format=api

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

{
    "ob_id": 45212,
    "uuid": "f449d947b30e44319cac24b7f67565c5",
    "title": "Recent Heat Packs methodology",
    "abstract": "The Recent Heat Packs comprise a 2-page .pdf factsheet and 3 .csv files containing daily minimum/maximum temperatures and climate metrics, for each of the 393 UK local authorities. The Recent Heat Packs were built entirely from the Crowd-Grid gridded dataset. The metrics were calculated at 1km grid-box level and then averaged over the local authority and census areas shapes (MSOAs for England & Wales, IZ for Scotland, or DEA in NI). They are intended to make the information in the Crowd-Grid gridded dataset available in a more accessible form. These packs have been designed to complement the Met Office Local Authority Climate Service (https://climatedataportal.metoffice.gov.uk/pages/lacs) which provides considerable information about future climate.\r\n\r\nAn accompanying README describes the sources, processing, interpretation, and guidance for proper use of the Recent Heat Packs (doi:10.5281/zenodo.17787357)",
    "keywords": "",
    "inputDescription": null,
    "outputDescription": null,
    "softwareReference": null,
    "identifier_set": []
}