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/10683/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 10683,
    "uuid": "cf6db848cd1974d7c34cab6e32b6d05e",
    "title": "ARSF - Flight GB07/04: Hayton area",
    "abstract": "ARSF project GB07/04: Hayton Remote Sensing project. Led by: Dr. Peter Halkon, Dept of History, University of Hull, Hull HU6 7RX. Location: Hayton, East Yorkshire, UK.\r\n\r\nThe Hayton Remote Sensing project intended to collect lidar and CASI/ATM data to contextualize and expand more than 10 years of intensive study of the archaeological landscape around Hayton, East Yorkshire and to contribute to a growing body of work developing the methodology for the use of lidar for archaeological landscape studies, particularly buried feature detection. Because of the long history of archaeological study around Hayton, it provided ideal ground for methodological testing. Close comparison between extant survey and excavation data, geophysical survey, detailed soil maps, and historical aerial photography permitted detailed analysis of the success of lidar survey in identifying buried and surface archaeology. The lidar data provided micromorphological detail that assisted in the interpretation of field survey results by providing explanations for archaeological visibility based on patterns of landscape degradation. It also provided a means of accurate planning of a complex of sites within the Hayton area and in the countryside beyond. The collection of CASI/ATM data allowed the detection of cropmark type sites and the comparison between sites detectable through spectral and elevation variations.",
    "keywords": "",
    "status": "completed",
    "publicationState": "published",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7082/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/7083/?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/38651/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144622/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145201/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145202/?format=api"
    ]
}