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/32470/?format=api

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

{
    "ob_id": 32470,
    "uuid": "fe3cb5120fa74fa7974820c2e2a238a7",
    "title": "Global Ocean Lagrangian Trajectories based on AVISO velocities, v2.0,  1998-2018",
    "abstract": "The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories  (OLTraj) provides 30-day forward and backward Lagrangian trajectories based on AVISO (Satellite Altimetry Data project) surface velocities. Each trajectory represents the path that a water mass would move along starting at a given pixel and a given day. OLTraj can be thus used to implement analyses of oceanic data in a Lagrangian framework. The purpose of OLTraj is to allow non-specialists to conduct Lagrangian analyses of surface ocean data.\r\n\r\nThe dataset has global coverage and spans 1998-2018 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA  (6-hour time step - part of ) as described in Nencioli et al., 2018 and SPASSO (Software package for and adaptive satellite-based sampling for ocean graphic cruises containing LAMTA) software user guide. Please see the documentation section below for further information.",
    "keywords": "AVISO, Global, Ocean Lagrangian Trajectories, LAMTA, zonal, meridional model,  OLTraj_SEALEVEL_GLO_PHY_L4_REP_OBSERVATIONS_008_047",
    "publicationState": "citable",
    "dataPublishedTime": "2021-05-06T09:35:10",
    "doiPublishedTime": "2021-05-10T15:47:54",
    "updateFrequency": "",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32471/?format=api",
        "dataPath": "/neodc/oltraj/data/v2.0",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 1789609906795,
        "numberOfFiles": 8401,
        "fileFormat": "NetCDF"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8690/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2687/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18405/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18408/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30129/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30130/?format=api"
    ],
    "dataLineage": "Data were produced by the NCEO Plymouth Marine Laboratory project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10866/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144555/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144556/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144554/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144549/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144550/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144551/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144552/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144553/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/144557/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32472/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "http://creativecommons.org/licenses/by/4.0/",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}