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/40176/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 40176,
    "uuid": "c3866a255e15470f9ed4a566ad0053ff",
    "title": "BICEP/NCEO: Monthly global particulate inorganic carbon (PIC) for between 1997-2021 at 9 km spatial resolution (derived from the Ocean Colour Climate Change Initiative version 5.0 dataset)",
    "abstract": "The BICEP/NCEO: Monthly global particulate inorganic carbon (PIC) between 1997-2021 at 9km spatial resolution.\r\n\r\n\r\nParticulate inorganic carbon (PIC) data were generated using a random forest approach that incorporates the following key input variables: remote sensing reflectances (Rrs) at 560 and 665 nm, chlorophyll-a concentration, colour index, and maximum waterclass values. The Rrs(560), Rrs(665), and chlorophyll-a concentration data were obtained directly from the Ocean Colour Climate Change Initiative (OC-CCI) version 5.0. The colour index values were estimated using Mitchell et al. (2017) algorithm: Rrs(560) minus Rrs(665). The maximum waterclass values were estimated using fourteen optical waterclasses obtained from the OC-CCI version 5.0. The PIC data are provided as netCDF files containing global, month PIC concentration at 9 km spatial resolution (1997-2021). For more details on the algorithm and its validation, please see the BICEP algorithm theoretical basline document (https://bicep-project.org/Home).\r\n\r\nA related dataset based on the ESA Ocean Colour Climate Change Initiative v5.0 data is also available (see link in the related records section).",
    "keywords": "",
    "publicationState": "preview",
    "dataPublishedTime": null,
    "doiPublishedTime": null,
    "updateFrequency": "",
    "status": "pending",
    "result_field": null,
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11134/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3858/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "The particulate inorganic carbon data were produced by the Plymouth Marine Laboratory and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). The research underpinning the work was supported by the European Space Agency (ESA) Biological Pump and Carbon Export Processes (BICEP) project and the product generation was supported by the National Centre for Earth Observation (NCEO).",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/31968/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195904/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195905/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195906/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195907/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195908/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195909/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195910/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195919/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195911/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195912/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195913/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195914/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195915/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195916/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195917/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195918/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40177/?format=api",
    "permissions": [],
    "discoveryKeywords": []
}