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/10795/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 10795,
    "uuid": "c7b64499838b3701c7eda4d69a9a1f6b",
    "title": "ARSF - Flight GB08/02: Delamere Wood area",
    "abstract": "ARSF project GB08/02: Integrating Airborne Lidar and Terrestrial Laser Scanning to characterise phenological changes in forest vegetation. Led by: Prof. Mark Danson, Centre for Environmental Systems Research, School of Environment and Life Sciences, University of Salford, Salford, M5 4WT. Location: Delamere Woods, Cheshire, UK.A\r\n\r\nOptical  remotely sensed  data  have  been  used  to  provide  two-dimensional  information  on  vegetation  composition  by mapping  vegetation  biomass  or  productivity  to  identify  phenological  change  patterns. However,  lidar data  can  additionally  provide  accurate  three-dimensional  information  on  vegetation  characteristics including canopy cover, leaf area index, vertical distribution of foliage, and structural characteristics like vegetation  height. A better understanding of the interaction of lasers with vegetation canopies was required to fully exploit the information derived from airborne laser scanners. The proposed project integrated airborne and terrestrial laser scanner data to investigate these interactions in order to estimate seasonal variations in vegetation characteristics at a forest test site in northern England.",
    "keywords": "",
    "status": "completed",
    "publicationState": "published",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7166/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7167/?format=api"
    ],
    "observationCollection": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8604/?format=api"
    ],
    "parentProject": null,
    "subProject": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/38903/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144637/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145261/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145262/?format=api"
    ]
}