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/27053/?format=api

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

{
    "ob_id": 27053,
    "uuid": "5d1af7fc779346de86de4a6fcf750912",
    "title": "Microphysics of Antarctic Clouds: Polar-optimised Weather Research and Forecasting (PWRF) model simulations for case study with BAS MASIN twin-otter flights 218 and 219",
    "abstract": "The NERC-funded Microphysics of Antarctic Clouds (MAC) project was centred on an aircraft campaign measuring clouds, aerosols, and boundary layer properties over the Weddell Sea, Antarctica.   These data are simulations of the Polar-optimised Weather Research and Forecasting (PWRF) model for 5 configurations of the model's Morrison microphysics scheme, produced for a case study of two separate flights over the same region during the campaign (British Antarctic Survey MASIN twin-otter aircraft flights 218 an 219 on 27th November 2015).  Each simulation contains data from two domains - a parent domain with 5km grid size and a nest with a 1km grid size.\r\n\r\nThe control  simulation used default physics options in the PWRF model's Morrison microphysics scheme. For the no-threshold, 2xHM, 5xHM, 10xHM simulations, thresholds restricting Hallett-Mossop secondary ice production in the PWRF model's Morrison microphysics scheme were removed, and for the 2xHM, 5xHM, and 10xHM cases the corresponding ice multiplication factor was increased by a factor of 2, 5 or 10. \r\n\r\nIn all simulations, an approximation of the DeMott et al., 2010 (PNAS) parametrization used for primary ice nucleation. \r\n \r\nMethodology and further details can be found in Young et al., 2019 (Geophysical Research Letters): Radiative effects of secondary ice enhancement in coastal Antarctic clouds.",
    "keywords": "PWRF, microphysics",
    "publicationState": "citable",
    "dataPublishedTime": "2019-02-13T09:18:58",
    "doiPublishedTime": "2019-02-13T09:20:00.369928",
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27054/?format=api",
        "dataPath": "/badc/mac/data/PWRF-model-casestudy-218-219",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 149602660578,
        "numberOfFiles": 21,
        "fileFormat": "Data are NetCDF formatted."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7281/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2343/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51157/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51158/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52761/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56463/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59238/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59239/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59240/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59241/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59242/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59243/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59244/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59245/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59246/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59247/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59248/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59249/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59250/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59251/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59252/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59253/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59254/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59255/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59256/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59257/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59258/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api"
    ],
    "dataLineage": "Data were generated using the Polar-optimised Weather Research and Forecasting (PWRF) model with 5km horizontal grid size over the domain 53.4W-6.6W, 78.9S-69.0S. WRF data has been converted to CF-netCDF using python's netCDF-4 library, then passed on to the CEDA for archiving.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10223/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/19273/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/19274/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113370/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113371/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113372/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113373/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113374/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113375/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113377/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113376/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/27056/?format=api",
    "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"
        }
    ]
}