Observation Instance – Django REST framework

Get a list of Observation objects.

### Available end points:

- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`

### How to use filters:

These filters can be used like django query filters using __ for related model relationships.

- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`

Filters can be stacked to build an 'AND' relationship. E.g.

- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`

GET /api/v2/observations/3531/?format=api

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

{
    "ob_id": 3531,
    "uuid": "aac5f8246987ea43a68e3396b530d23e",
    "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Disdrometer Data, Chilbolton Site",
    "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Disdrometer from the 1st of April 2003 to the present at Chilbolton, Hampshire. The dataset contains measurements of the drop size distribution of rain.",
    "keywords": "CFARR, disdrometer, rainfall",
    "publicationState": "published",
    "dataPublishedTime": "2003-09-19T15:07:42",
    "doiPublishedTime": null,
    "updateFrequency": "continual",
    "status": "ongoing",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/3532/?format=api",
        "dataPath": "/badc/chilbolton/data/disdrometer_chilbolton",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 20161884773,
        "numberOfFiles": 4617,
        "fileFormat": "Data are netCDF formatted."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/993/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/59/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22455/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50512/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54762/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54763/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54764/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55382/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55383/?format=api"
    ],
    "dataLineage": "Data are collected by 4 radar systems, of which the largest is the 3 GHz Doppler radar (CAMRa), and 4 lidar systems, at Chilbolton Observatory, Hampshire.\r\nData are prepared by Chilbolton Facility for Atmospheric and Radio Research (CFARR) staff prior to submission to BADC for archiving.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2390/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/3464/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/3461/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/7378/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12893/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/28110/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32603/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29923/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/14994/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/14995/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/14996/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/14997/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/14999/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43247/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43251/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/14993/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43248/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43249/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43250/?format=api"
    ],
    "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/3534/?format=api",
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "registered",
            "accessRoles": null,
            "label": "registered: None group",
            "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}