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/4349/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 4349,
    "uuid": "7a62862f2f43c0bdf4e7d152b6cb59e4",
    "title": "Met Office stratospheric assimilated: standard assimilated data from 1991 to 2022",
    "abstract": "This dataset contains standard assimilated data concerning stratospheric temperature, geopotential height and wind components produced by the Stratospheric Data Assimilation System at the UK Met Office. Data is provided from 1991 to 2022.\r\n\r\nThe data assimilation system is a development of the scheme used at the Met Office for operational weather forecasting, which has been extended to cover the stratosphere. The primary product is a daily analysis (at 1200 UTC) which is produced using operational observations only. For short periods of particular interest the analyses are available at 6-hourly intervals. Assimilation experiments using UARS (Upper Atmosphere Research Satellite) data in addition to operational meteorological observations have been carried out for limited periods.\r\n\r\nThe global model producing this data was updated on July 11th 2017. Data from this date has an increased resolution of N1280L70: 2560 latitude x1920 longitude and vertical 70 levels (model top 80 km), see the documentation for full details.",
    "keywords": "Met Office, meteorology, statospheric, uars, assim, assimilated",
    "publicationState": "published",
    "dataPublishedTime": "2007-02-05T17:09:44",
    "doiPublishedTime": null,
    "updateFrequency": "daily",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/4350/?format=api",
        "dataPath": "/badc/ukmo-assim/data/standard/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 11021442101975,
        "numberOfFiles": 25012,
        "fileFormat": "Data are PP formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11416/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api",
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    ],
    "dataLineage": "Data are sent from the Met Office and to the Centre for Environmental Data Analysis (CEDA) for long term archival. \r\n\r\nCEDA archive the Met Office Unified Model \"pp\" output files directly and additionally convert the raw \"pp\" files into NetCDF data files that are archived alongside the \"pp\" data.\r\n\r\n11-July-2017: On the 11th of July 2017 a new operational model came into use, this increased both the horizontal and vertical resolutions of the data. Additionally on this date, the \"pp\" to NetCDF format conversion tool was changed from Convsh for all files prior to this date to CF-Python to all NetCDF data from 2017-08-11.\r\n\r\n09-Jan-2020: From 2020 the archive will only hold the \"pp\" file format, conversion to NetCDF will no longer occur. Historical NetCDF files will remain on the archive but conversions will no longer be performed after this date.\r\n\r\n10-Sep-2022: Updates for this data have been discontinued due to low data usage.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2922/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/555/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/4348/?format=api"
    ],
    "responsiblepartyinfo_set": [
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    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/4351/?format=api",
    "permissions": [
        {
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            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "restricted",
            "accessRoles": "ukmo_wx",
            "label": "restricted: ukmo_wx group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf",
            "licenceClassifications": "academic"
        },
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2533/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "restricted",
            "accessRoles": "ukmo_wx_gov",
            "label": "restricted: ukmo_wx_gov group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf",
            "licenceClassifications": "policy"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}