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/31869/?format=api

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

{
    "ob_id": 31869,
    "uuid": "f29fdcae79374754bd16e7f66e6ed951",
    "title": "APHH: Ionic species data within PM2.5 measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018",
    "abstract": "This dataset contains ionic data within PM2.5 measurements made during the  Pre- Monsoon (28/05/2018  08:30:00 - 05/06/2018  17:30:00) and Post-Monsoon periods (09/10/2018  14:54:00 - 0\r\n6/11/2018  10:35:00) of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. Measurements were conducted by the University of York High Volume Sampler (Ecotech 3000, Australia) and University of York Dionex ICS-1100 Ion Chromatography System.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme.",
    "keywords": "APHH, Delhiflux, PM2.5",
    "publicationState": "published",
    "dataPublishedTime": "2020-09-23T10:08:43",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31870/?format=api",
        "dataPath": "/badc/aphh/data/delhi/delhiflux/york-pm2.5",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 17498,
        "numberOfFiles": 2,
        "fileFormat": "Data are BADC-CSV formatted."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8734/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2612/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66080/?format=api"
    ],
    "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/30221/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30224/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32625/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140661/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140663/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140664/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140665/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140666/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140667/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140660/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140662/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168350/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140669/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140670/?format=api"
    ],
    "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/31871/?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"
        }
    ]
}