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/31957/?format=api

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

{
    "ob_id": 31957,
    "uuid": "80791eb6d92542cea867727f3c44d49a",
    "title": "FRANC: Wardon Hill C-band rain radar helical scan products",
    "abstract": "Helical scans from the Met Office's Wardon Hill C-band rain radar, Dorset, England produced in support of the NERC funded \"Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection\" (FRANC) project. These data are opportunistic observations made by the radar as it transitioned between horizontal and vertically pointing scans and vice versa obtained during the period of the FRANC project.\r\n\r\nThe radar is a C-band (5.3 cm wavelength) radar and data are received by the Nimrod system at 5 minute intervals.",
    "keywords": "Met Office, NIMROD, rain radar",
    "publicationState": "published",
    "dataPublishedTime": "2020-12-18T10:43:41",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31958/?format=api",
        "dataPath": "/badc/deposited2020/franc/data/helical_scans/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 2992169883,
        "numberOfFiles": 1756,
        "fileFormat": "Data are in NIMROD binary format."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8755/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/119/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "Data are acquired from Met Office's NIMROD system and supplied initially to the Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection\" (FRANC) project space before eventual ingestion into the Centre for Environmental Data Analysis (CEDA) archive for long-term archival.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/5736/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/11981/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/5709/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/31970/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141338/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141337/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141336/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141344/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141342/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141343/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141341/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141340/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141339/?format=api"
    ],
    "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/5721/?format=api",
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2532/?format=api",
            "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"
        }
    ]
}