GET

Observation Instance

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/37899/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 37899,
    "uuid": "fc001b104fe6458e92ab6a0be314e68e",
    "title": "Model output for marine debris accumulating at Seychelles and other remote islands in the western Indian Ocean (1993-2019)",
    "abstract": "This dataset contains raw beaching data computed by marine debris simulations (run using OceanParcels) for a range of physical scenarios (surface currents from GLORYS12V1 (https://doi.org/10.3389/feart.2021.698876) Stokes drift from WAVERYS (https://doi.org/10.1007/s10236-020-01433-w) and surface winds from ERA5 (https://doi.org/10.1002/qj.3803)) as described in the accompanying manuscript. Through postprocessing, debris ‘connectivity’ matrices can be computed, providing predictions for the main terrestrial and marine source regions of plastic debris accumulating at remote islands in the western Indian Ocean. These simulations include beaching and sinking processes, and a set of example matrices is provided here (https://doi.org/10.5287/bodleian:DEdqwXZQw) However, these matrices can be recomputed for different sinking and beaching rates using the scripts archived here (https://doi.org/10.5281/zenodo.7351695) or see here (https://github.com/nvogtvincent/WIO_Marine_Debris/) for the live version with documentation. These predictions will be useful for environmental practitioners in the western Indian Ocean to assess source regions for marine debris accumulating at islands of interest, and when this debris is likely to beach. The data were produced as part of the Marine Dispersal and Retention in the Western Indian Ocean project funded by the Natural Environment Research Council (NERC) grant NE/S007474/1. See linked online references on this record for cited items given above.",
    "keywords": "Indian Ocean, Plastic, Pollution, Marine debris, Seychelles, Fisheries, ALDFG, Lagrangian, Monsoon, Model",
    "publicationState": "citable",
    "dataPublishedTime": "2022-12-13T16:01:29",
    "doiPublishedTime": "2022-12-13T16:15:35",
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37900/?format=api",
        "dataPath": "/bodc/UOX220126/WIO_marine_debris_accumulation",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 1039187221309,
        "numberOfFiles": 12001,
        "fileFormat": "Data are CF-Compliant NetCDF formatted data files"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10462/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3594/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12334/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12335/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12336/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62799/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62800/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62801/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62802/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62803/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62804/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62805/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62806/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62807/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62808/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62809/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62810/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62811/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62812/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62813/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62814/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62815/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62816/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62817/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62818/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62819/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62820/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62821/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62822/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62823/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62824/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62825/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63958/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63959/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63960/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63961/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63962/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63963/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63964/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63965/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63966/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63967/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63968/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63969/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63970/?format=api"
    ],
    "dataLineage": "This dataset consists of modelled large scale dispersal experiments across the southwestern Indian Ocean. The simulations were funded through PhD project NE/S007474/1, Marine dispersal and retention in the western Indian Ocean, held by Noam Vogt-Vincent who was supervised by Helen Johnson, both at University of Oxford. The outputs are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12313/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/37624/?format=api"
    ],
    "observationcollection_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180930/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180932/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180933/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180929/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180926/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180928/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180927/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180931/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180934/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37896/?format=api",
    "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"
        }
    ]
}