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/24710/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 24710,
    "uuid": "8c03f651457f458eaf7b16f68670a0b8",
    "title": "Ensemble of Global and EU Regional climate simulations from the HadAM3P-RM3P model for Winter 2013/14",
    "abstract": "Large data sets used to study the impact of anthropogenic climate change on the 2013/14 floods in the UK are provided. Data consists of perturbed initial conditions simulations using the Weather@Home regional climate modelling framework. Two different base conditions, Actual, including atmospheric conditions (anthropogenic greenhouse gases and human induced aerosols) as at present and Natural, with these forcings all removed are available. The data set is made up of 13 different ensembles (2 actual and 11 natural) with each having more than 7500 members. The data is available as NetCDF V3 files with their content representing an individual month of simulation. Data within that includes diagnostics written at daily, weekly and monthly within the period of interest (1st Dec 2013 to 15th February 2014) for both a specified  European region at a 50km horizontal resolution and globally at N96 resolution. The data were generated in support of the European FP7 project - EUropean CLimate and weather Events: Interpretation and Attribution (EUCLEIA). Full details are available within Sparrow et al 2017, Nature Scientific Data.\r\n",
    "keywords": "HadAM3P-RM3P, Model, Winter,  EUCLEIA",
    "publicationState": "citable",
    "dataPublishedTime": "2017-06-09T15:11:11",
    "doiPublishedTime": "2017-12-19T10:45:14.911909",
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/24709/?format=api",
        "dataPath": "/badc/weather_at_home/data/1314Floods",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 26019856107221,
        "numberOfFiles": 696639,
        "fileFormat": "Data are netCDF formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6700/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1745/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "The Weather@Home climate simulation environment uses the HadAM3P Atmosphere-only General Circulation Model (AGCM) with an embedded Regional Climate Model (RCM) variant, HadRM3P, both from the UK Met Office Hadley Centre. These models are based upon the atmospheric component of HadCM39, a well documented and widely used coupled ocean – atmosphere model. HadRM3P is the regional model used in the Providing Regional Climates for Impacts Studies project (PRECIS)10, also originating from the UK Met Office.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9361/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/14514/?format=api"
    ],
    "observationcollection_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101172/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101173/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101174/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101175/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101176/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101177/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101179/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101178/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101180/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101181/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101182/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101183/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101184/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101185/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101186/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/24711/?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"
        }
    ]
}