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/40850/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 40850,
    "uuid": "1d01d0efb6c24c218489605b5aa44cf5",
    "title": "ESA RECCAP-2 Climate Change Initiative (RECCAP2_cci): Methane-Centric Wetland Dataset Based on GIEMS (1992-2020), v1.0",
    "abstract": "To aid methane emission modelling within ESA's Regional Carbon Cycle Assessment and Processes Phase 2 (RECCAP-2) project, a methane-centric wetland dataset based on the Global Inundation Estimate from Multiple Satellites (GIEMS-2) database has been produced.\r\n\r\nThe GIEMS-2 database provides the monthly extent of the continental water surfaces, including lakes, rivers, wetlands, and rice paddies, from 1992 to 2015, as described in Prigent et al. (2020). It is on a 0.25 x 0.25 degree regular grid in latitude and longitude. It has recently been extended to 2020 within the RECCAP-2 project.\r\n\r\nFor methane emission modeling, three water surface types are usually considered separately: the permanent water surfaces (such as lakes, rivers, and reservoirs), the rice paddies, and the wetlands (i.e., the remaining water surfaces). As a consequence, the possibility to separate these contributions within the GIEMS pixels is required. This methane-centric GIEMS dataset isolates wetlands from the other surface waters in order to facilitate the estimation of the wetland methane emissions.",
    "keywords": "RECCAP-2,giems,wetland,methane",
    "publicationState": "published",
    "dataPublishedTime": "2023-12-18T16:42:20",
    "doiPublishedTime": null,
    "updateFrequency": "",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40849/?format=api",
        "dataPath": "/neodc/esacci/reccap2/data/giems_methane_centric/v1.0",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 54077094,
        "numberOfFiles": 2,
        "fileFormat": "The data are in netCDF format."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11353/?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/62780/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75581/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75582/?format=api"
    ],
    "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/41107/?format=api"
    ],
    "observationcollection_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198682/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198683/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198684/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198685/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198686/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198687/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198688/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198689/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199760/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2590/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_reccap2_terms_and_conditions.pdf",
            "licenceClassifications": ""
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1140,
            "name": "ESACCI"
        }
    ]
}