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/8328/?format=api

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

{
    "ob_id": 8328,
    "uuid": "b318e76e5a427ad9cc233aad60f1684d",
    "title": "CASIX: Global monthly carbon primary production estimates",
    "abstract": "CASIX, the Centre for observation of Air-Sea Interactions & fluXes, is a NERC Centre of Excellence in Earth Observation. The scientific focus was on advancing the science of air-sea interactions and reducing the errors in the prediction of climate change. The primary goal was to quantify accurately the global air-sea fluxes of carbon dioxide (CO2). CASIX accelerated the exploitation of new Earth Observation satellite data to further the understanding of marine biogeochemistry in the Earth System. CASIX links NERC Centres, university groups and the Met Office to model ocean circulation and the ocean carbon cycle.\r\n\r\nThis dataset contains global monthly primary production estimates derived using the Smyth et al 2005 model from SeaWiFS data.",
    "keywords": "CASIX, SeaWiFS, model",
    "publicationState": "published",
    "dataPublishedTime": "2010-02-16T14:58:00",
    "doiPublishedTime": null,
    "updateFrequency": "unknown",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/8329/?format=api",
        "dataPath": "/neodc/casix/seawifs_primary_production/data",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 839582338,
        "numberOfFiles": 134,
        "fileFormat": "Data are netCDF formatted and images are GIF formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/5161/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60857/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60858/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60859/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60865/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86911/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86912/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86913/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86914/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86915/?format=api"
    ],
    "dataLineage": "Dataset produced using the Smyth et al. 2005 model from SeaWiFS data, by Tim Smyth, Centre for the observation of Air-Sea Interaction and fluXes (CASIX); Plymouth Marine Laboratory, Plymouth, UK.\r\nProvided to NEODC in November 2009.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/5342/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/5000/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8327/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33348/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33352/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33346/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33349/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33350/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33351/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33353/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33347/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/74345/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/8330/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}