Observation Instance – Django REST framework

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/25984/?format=api

HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 25984,
    "uuid": "b9d6fc06b827470783e518e65799384c",
    "title": "APHH: Chemical composition measurements of PM2.5 particles made at the IAP-Beijing site during the  winter campaign",
    "abstract": "This dataset contains chemical composition measurements of PM2.5 particles made at the Institute of Atmospheric Physics land station (IAP), Beijing  site during the winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. \r\n\r\nDaily fine particles were collected on the PTFE (Polytetrafluoroethylene) filters using the Partisol samplers. The filters were then analysed for metals using X-ray fluorescence (XRF) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS), and for ion species using Ion Chromatography. Quartz filters were collected by Tisch high vol, samplers and then were analysed for organic and elemental carbons using the DRI Model 2015 Multiwavelength Thermal/Optical Carbon Analyser, and organic tracers using Gas chromatography–mass spectrometry (GC-MS).",
    "keywords": "PM2.5, China, pollution, APHH",
    "publicationState": "published",
    "dataPublishedTime": "2018-03-29T10:59:55",
    "doiPublishedTime": null,
    "updateFrequency": "",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26001/?format=api",
        "dataPath": "/badc/aphh/data/beijing/birm-filters",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 12841,
        "numberOfFiles": 2,
        "fileFormat": "Data NASA Ames formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7016/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1856/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56833/?format=api"
    ],
    "dataLineage": "Data produced by Atmospheric Pollution & Human Health (APHH) project participants at University of Birmingham and uploaded to Centre for Environmental Data Anaylsis (CEDA) archive.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24817/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108676/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108677/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108678/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108684/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108680/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108681/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108682/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108679/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108683/?format=api"
    ],
    "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/25985/?format=api",
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "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": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}