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/41601/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 41601,
    "uuid": "5725de8c7e934a05b978ff2b93e4438f",
    "title": "HadCM3Q PRECIS data generated for the QUMP (Quantifying Uncertainty in Model Predictions) Project using IPCC's SRES A1B future emissions scenario.",
    "abstract": "This PRESCIS dataset (Providing REgional Climates for Impacts Studies) is output data from the HadCM3Q GCM ensemble, which used the SRES A1B scenario (see the Special Report on Emissions Scenarios (SRES) www.ipcc.ch/pdf/special-reports/spm/sres-en.pdf) spanning December 1949 to November 2099. The data are split up according to their runid and then by their stash code. \r\n\r\nThe Quantifying Uncertainty in Model Predictions (QUMP) research theme aims to provide probabilistic predictions of future climate. These are based on large ensembles of simulations of equilibrium and time-dependent change, carried out by perturbing poorly constrained parameters controlling key physical and biogeochemical processes in the HadCM3 coupled ocean-atmosphere global climate model. Further ensembles of regional climate simulations at high resolution, driven by boundary conditions obtained from the HadCM3 ensemble, allow the specification of probabilistic predictions at spatial scales suitable for climate impact studies. These experiments allow quantification of the effects of earth system modelling uncertainties and internal climate variability on feedbacks likely to exert a significant influence on twenty-first century regional climate. \r\n \r\nThe diagnostics are either on the horizontal 'pressure grid' or the horizontal 'wind grid'. For the 'wind grid' an Arakawa B grid layout is used, in which wind variables are offset from all other variables (said to be on the 'pressure grid') by half a grid box in both directions. The 'wind grid' has the same number of points in the east-west direction as the 'pressure grid', but one less in the north-south direction.\r\n\r\nSome files are available as monthly means and some are available as daily means.  \r\n\r\nEach daily mean file contains 360 fields (one field per day for a year in the 360 day calendar used by HadCM3Q). Each monthly mean tarball contains files with one field (one field for a month covering the span of December 1949 to November 2099).\r\n\r\nTables of information about the runids and stash codes can be found in the PRECIS_Data_Readme stored alongside the fileset.",
    "keywords": "HadCM3, PRECIS, QUMP, IPCC, SRES A1B",
    "publicationState": "published",
    "dataPublishedTime": "2024-04-18T14:31:11",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41602/?format=api",
        "dataPath": "/badc/hadcm3/data/PRECIS",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 5173959890830,
        "numberOfFiles": 3104366,
        "fileFormat": "Data are PP formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11649/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4002/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50652/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50653/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50654/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50672/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50673/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50680/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50686/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50688/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50689/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50693/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50695/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50701/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50702/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50705/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50707/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50708/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50714/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50716/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50717/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50719/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50720/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50722/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50725/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50727/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50728/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50730/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50732/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50733/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50738/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50743/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50748/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50749/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50750/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50826/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52359/?format=api"
    ],
    "dataLineage": "Data from the UK Met Office Hadley Centre. Dataset directory structure was reordered by CEDA staff in November 2023 to place experiment runs within a directory of their associated experiment.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/13847/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/3791/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202750/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202751/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202752/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202753/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202754/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202755/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202756/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202757/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202758/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40905/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2613/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "restricted",
            "accessRoles": "link",
            "label": "restricted: link group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf",
            "licenceClassifications": "academic"
        }
    ],
    "discoveryKeywords": []
}