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/40867/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 40867,
    "uuid": "62800d3d2227449085b430b503d36b01",
    "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Climatology product, version 3.0",
    "abstract": "This dataset provides daily climatological mean sea surface temperature (SST) on a global 0.05° latitude-longitude grid, derived from the SST CCI analysis data for the period 1991 to 2020 (30 years).  \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative (CCI) Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.2 product. Compared to the previous version the major changes are: \r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016) \r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors) \r\n* Improved retrieval with respect to desert-dust aerosols \r\n* Addition of dual-view SLSTR data from 2016 onwards \r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s \r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data) \r\n* Inclusion of L2P passive microwave AMSR data \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper:  \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w",
    "keywords": "ESA, CCI, SST, Climatology, Level 4",
    "publicationState": "citable",
    "dataPublishedTime": "2024-04-08T14:00:32",
    "doiPublishedTime": "2024-04-09T08:40:06",
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41569/?format=api",
        "dataPath": "/neodc/eocis/data/global_and_regional/sea_surface_temperature/CDR_v3/Climatology/L4/v3.0.1",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 15119298879,
        "numberOfFiles": 366,
        "fileFormat": "netCDF-4 classic following: Climate and Forecast (CF) metadata conventions, GHRSST Data Specification 2.0, and SST CCI Product Specification."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11570/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60312/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60313/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66257/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66260/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75578/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75579/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75580/?format=api"
    ],
    "dataLineage": "Data were processed by the ESA CCI SST project team and supplied to the Centre for Environmental Data Analysis (CEDA) for archiving.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12858/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/11008/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41661/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/11005/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198795/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198796/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198797/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198798/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198799/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198800/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198801/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198802/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202208/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202209/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/41570/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2523/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sst_terms_and_conditions_v2.pdf",
            "licenceClassifications": ""
        }
    ],
    "discoveryKeywords": []
}