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/20102/?format=api

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

{
    "ob_id": 20102,
    "uuid": "e7abb935751a465981c6155593ba6dd3",
    "title": "CARDOMOM 2001 - 2010 global carbon model data",
    "abstract": "The CARbon DAta MOdel fraMework (CARDAMOM; Bloom et al., 2015 in review) outputs are derived from a global 1-degree x 1-degree 2001-2010 model-data fusion (MDF) analysis. The data include allocation fractions (AF) residence times (RT), mean carbon pool stocks (CP) and fluxes (FL).  The Data Assimilation Linked Ecosystem Carbon model version 2 (DALEC2) and the Markov Chain Monte Carlo MDF algorithm are described by Bloom & Williams (2015); the fire module is described by Bloom et al., (2015; in review). Data constraints used in the CARDAMOM analysis consist of MODIS leaf area index (LAI), Harmonised World Soil Database (HWSD; Hiederer & Kochy, 2012) and tropical biomass (Saatchi et al., 2011). For each 1-degree x 1-degree gridcell, the metrics (e.g. mean, median, etc.) are based on 4000 DALEC2 model parameter samples unique to that grid-cell. ",
    "keywords": "carbon cycle, biomass, soil carbon, allocation, residence time",
    "publicationState": "working",
    "dataPublishedTime": null,
    "doiPublishedTime": null,
    "updateFrequency": "",
    "status": "underDevelopment",
    "result_field": null,
    "timePeriod": null,
    "geographicExtent": null,
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "The data was produce by Mat Williamas and Jean Francoise Exbrayat of the University of Edinburgh as part of the NCEO work programme",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/79059/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204978/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204979/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204980/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204981/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204982/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204983/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "permissions": [],
    "discoveryKeywords": []
}