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/43136/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 43136,
    "uuid": "925816bd869644ad9fe9b877d8f42d30",
    "title": "CO2 column concentrations from GEOS-Chem, covering East Africa from January to April 2020",
    "abstract": "These model data include column concentrations of carbon dioxide (CO2) calculated using the GEOS-Chem atmospheric chemistry and transport model, covering a region over East Africa centred on the Methane Observations and Yearly Assessments (MOYA) project EM27/SUN measurement site in Jinja, Uganda. The period modelled coincides with the EM27/SUN measurement dates, covering all days from 23rd January to 19th April 2020. \r\n\r\nA global GEOS-Chem model run was used on a 2.0deg x 2.5deg latitude-longitude grid with 47 vertical levels. Emissions inventories are used for the a priori flux estimates, taking into account CO2 emissions from biomass burning, fossil fuels, ocean fluxes, and biosphere fluxes. An ensemble Kalman Filter approach is used to estimate the CO2 fluxes, with either in-situ or satellite measurements of atmospheric CO2 (one .nc file for each) used as prior information on concentration. These calculations were performed by Liang Feng of the National Centre for Earth Observation, University of Edinburgh.",
    "keywords": "GEOS-Chem, Carbon Dioxide, East Africa",
    "publicationState": "citable",
    "dataPublishedTime": "2024-09-11T15:22:11",
    "doiPublishedTime": "2024-09-11T15:52:54.700661",
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43165/?format=api",
        "dataPath": "/badc/moya/data/stations/uganda-jinja/MOYA_GEOSChem_CO2_Jinja",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 196713645,
        "numberOfFiles": 3,
        "fileFormat": "Net-CDF"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11858/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4577/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3894/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75039/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75040/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75042/?format=api"
    ],
    "dataLineage": "Global GEOS-Chem output was produced in daily files. The desired geographical region was extracted, the vertical profiles at each grid-point integrated to obtain the column concentration for each latitude-longitude pair in the region, and the data from all modelled days were collated into a single netCDF file for each model run (one using OCO-2 satellite data as prior concentration information, and one using in-situ measurements).",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13185/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/24718/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43166/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204793/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204794/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204795/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204796/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204797/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204798/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204800/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205101/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204801/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/19209/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "registered",
            "accessRoles": null,
            "label": "registered: None group",
            "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": []
}