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/41440/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 41440,
    "uuid": "a35041dacc534ceeb8f581296d2feb6b",
    "title": "BICEP/NCEO: Marine phytoplankton carbon OC-CCI v4.2 monthly composites, 9km resolution, 1998-2020 ",
    "abstract": "A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020a and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). \r\n\r\nData are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation are also provided.",
    "keywords": "Phytoplankton,Carbon,Ocean Colour",
    "publicationState": "working",
    "dataPublishedTime": null,
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "pending",
    "result_field": null,
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11552/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4140/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "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). Further details on the used methods can be found in Sathyendranath et al. (2020).\r\n\r\nSathyendranath, S.; Platt, T.; Kovač, Ž.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Marañón, E.; Kulk, G.; Bouman, H.A. Reconciling models of primary production and photoacclimation. Applies Optics, 2020, 59, C100. doi.org/10.1364/AO.386252",
    "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/202009/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202010/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202011/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202012/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202013/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202014/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202015/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202016/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202017/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202018/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202019/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202020/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202021/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202022/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202023/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/41443/?format=api",
    "procedureComputation": null,
    "permissions": [],
    "discoveryKeywords": []
}