Project Instance – Django REST framework

Get a list of Project objects. Projects have a 1:1 mapping with Observations.

### Available end points:

- `/projects/` - Will list all Projects in the database
- `/projects.json` - Will return all Projects in json format
- `/projects/<object_id>/` - Returns Projects object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

- `uuid`
- `status`
- `title`
- `keywords`

### How to use filters:

- `/projects/?uuid=ab4ca8d019d148f78afba1cd20872bdd`

- `/projects/?title__icontains!=Project details`

- `/projects.json?status=ongoing`

GET /api/v2/projects/43886/?format=api

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

{
    "ob_id": 43886,
    "uuid": "e6a317f0bc544a4e8a45884b82e6ccae",
    "title": "Operationalising Ambient Air Pollution Estimation",
    "abstract": "This doctoral research focuses on developing and implementing machine-learning methodologies to estimate ambient air pollution, introducing scalable machine-learning approaches for estimating hourly pollution levels, aiming to enhance the accuracy and accessibility of air quality data for environmental analysis and policy-making.",
    "keywords": "Ambient Air Quality, England, Nitrogen Dioxide, Nitrogen Oxides, Ozone, Particulate Matter, Sulphur Dioxide, Machine Learning, Air Pollution Scenarios, AI",
    "status": "",
    "publicationState": "published",
    "identifier_set": [],
    "observationCollection": [],
    "parentProject": null,
    "subProject": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209785/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209787/?format=api"
    ]
}