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/43176/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 43176,
    "uuid": "6ae3dc8d92444b2bb954173fe98559b6",
    "title": "Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) L3 half-hourly 0.1 degree x 0.1 degree v7",
    "abstract": "This dataset contains Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) v7. NASA’s Integrated Multi-satellitE Retrievals for GPM (IMERG) algorithm combines information from the GPM satellite constellation to estimate precipitation over most of the Earth's surface.  IMERG is particularly valuable over areas of Earth's surface that lack ground-based precipitation-measuring instruments, including oceans and remote areas. \r\n\r\nIMERG fuses precipitation estimates collected during the TRMM satellite’s operation (2000 - 2015) with recent precipitation estimates collected by the GPM mission (2014 - present) creating a continuous precipitation dataset spanning over two decades. This extended record allows scientists to compare past and present precipitation trends, enabling more accurate climate and weather models and a better understanding of Earth’s water cycle and extreme precipitation events. IMERG is available in near real-time with estimates of Earth’s precipitation updated every half-hour, enabling a wide range of applications to help communities around the world make informed decisions for disasters, disease, resource management, energy production, food security, and more.\r\n\r\nThe precipitation estimates from the various precipitation-relevant satellite passive microwave (PMW) sensors comprising the GPM constellation are computed using the 2017 version of the Goddard Profiling Algorithm (GPROF2017), then gridded, intercalibrated to the GPM Combined Ku Radar-Radiometer Algorithm (CORRA) product, and merged into half-hourly 0.1°x0.1° (roughly 10x10 km) fields. Level 3 data  are averaged global gridded products, screened for bad data points\r\n\r\nThe Global Precipitation Measurement (GPM) mission is an international network of satellites that provide the next-generation global observations of rain and snow.",
    "keywords": "GPM, IMERG, precipitation, global, retrievals",
    "publicationState": "published",
    "dataPublishedTime": "2024-10-14T15:36:11",
    "doiPublishedTime": null,
    "updateFrequency": "unknown",
    "status": "ongoing",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43178/?format=api",
        "dataPath": "/badc/gpm/data/GPM-IMERG-v7/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 3431042407063,
        "numberOfFiles": 879438,
        "fileFormat": "Data are HDF5 formatted."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8155/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "Data taken as is from National Aeronautics and Space Administration (NASA). https://gpm1.gesdisc.eosdis.nasa.gov/data/GPM_L3/GPM_3IMERGHH.07/",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/26514/?format=api"
    ],
    "observationcollection_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205331/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205325/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205324/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205326/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205329/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205327/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205328/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205330/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205332/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205333/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43177/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2615/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "https://gpm.nasa.gov/data/policy",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": []
}