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/37072/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 37072,
    "uuid": "96dc6996b5534052ab44f3098a99a357",
    "title": "Multi-frequency, multi-channel seismic dataset acquired around an active fluid flow structure: Scanner Pockmark, North Sea.",
    "abstract": "A multi-channel seismic dataset was acquired during RRS James Cook cruise JC152 (August - September 2017), around the Scanner Pockmark Complex in the North Sea. Data were recorded using a number of different seismic sources, comprising: \r\n\r\n1) a GI airgun array, used in two different configurations for separate parts of the survey, \r\ni) a 420 ci (2 x 105/105 ci) array operated in harmonic mode and fired at 8 s intervals, and \r\nii) a 300 ci (2 x 45/105 ci) array operated in true GI mode and fired at 6 s intervals, both towed at 2 m depth below sea surface; \r\n\r\n2) an Applied Acoustic Engineering Squid sparker (1750 or 2000 J), towed at the sea surface and triggered at 2 s intervals; and, \r\n\r\n3) a Duraspark sparker (2000 J), towed at the sea surface and triggered at 2 s intervals. Signals produced by the GI airguns and surface sparkers were recorded on two towed multi-channel streamers: \r\na) a 60 channel, 1 m group interval streamer recorded on a Geometrics Strataview R60 recording system, and \r\nb), a 120 channel, 1.56 m group interval GeoEel streamer, at sampling rates between 0.125 and 0.5 ms depending on the streamer and source pairing. \r\n\r\nData are provided in standard SEG-D format. The data were acquired as part of the 'Characterization of major overburden leakage pathways above sub-seafloor CO2 storage reservoirs in the North Sea' (CHIMNEY) project, funded by the Natural Environment Research Council (NERC) under grant reference NE/N016130/1.",
    "keywords": "seismic reflection, ocean bottom seismograph, active source seismology, passive source seismology, fluid flow pathways",
    "publicationState": "published",
    "dataPublishedTime": "2022-04-26T16:12:02",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37073/?format=api",
        "dataPath": "/bodc/USO220011/CHIMNEY_MCS",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 561573583472,
        "numberOfFiles": 203638,
        "fileFormat": "Data are segd formatted data files"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10246/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3424/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "Multi-channel seismic data were acquired during NERC cruise JC152 from August-September 2017 in the North Sea. The raw data were provided to the British Oceanographic Data Centre for long-term archive. Data were subsequently archived at CEDA.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/37051/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/37081/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177224/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177227/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177228/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177226/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177221/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177225/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177223/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177222/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177229/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177230/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177231/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177232/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177233/?format=api"
    ],
    "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/37074/?format=api",
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "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"
        }
    ]
}