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/39702/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 39702,
    "uuid": "8b1801552b7e40b5acb3bd12d0b4203a",
    "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged-full data produced by the CNRM-CM 6.1 model at Météo France",
    "abstract": "This dataset contains model data for SNAPSI experiment 'nudged-full' produced by the seasonal prediction research team at Météo-France. It is generated with the coupled climate model CNRM-CM 6.1. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- Evaluation of CMIP6 DECK experiments with CNRM-CM6-1: Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P., Nabat, P., Roehrig, R., y Mélia, D. S., Séférian, R., Valcke, S., Beau, I., Belamari, S., Berthet, S., Cassou, C., Cattiaux, J., Deshayes, J., Douville, H., Ethé, C., Franchistéguy, L., Geoffroy, O., Lévy, C., Madec, G., Meurdesoif, Y., Msadek, R., Ribes, A., Sanchez-Gomez, E., Terray, L., and Waldman, R., J. Adv. Model Earth Sy., 11, 2177–2213, https://doi.org/10.1029/2019MS001683, 2019",
    "keywords": "nudged-full, CNRM-CM 6.1, Météo France, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC",
    "publicationState": "published",
    "dataPublishedTime": "2024-09-25T13:28:30",
    "doiPublishedTime": null,
    "updateFrequency": "",
    "status": "ongoing",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39703/?format=api",
        "dataPath": "/badc/snap/data/post-cmip6/SNAPSI/Meteo-France/CNRM-CM61/nudged-full",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 1599082500781,
        "numberOfFiles": 5701,
        "fileFormat": "Data are Net-CDF formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10988/?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/6023/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47592/?format=api",
        "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/50419/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50426/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50427/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50428/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50429/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50431/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50445/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50475/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50481/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50496/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50498/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50549/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50566/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50579/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50582/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50587/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50588/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50590/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50597/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50605/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50609/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50615/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52755/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53111/?format=api",
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62368/?format=api",
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82407/?format=api"
    ],
    "dataLineage": "Data were generated using the Centre National de Recherches Météorologiques fully coupled atmosphere‐ocean general circulation model CNRM-CM 6.1 at TL359 horizontal resolution. Data was output as NetCDF files by the XIOS tool, then passed on to CEDA for archiving.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/37088/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39704/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193332/?format=api",
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    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/39696/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2560/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "registered",
            "accessRoles": null,
            "label": "registered: None group",
            "licenceURL": "https://creativecommons.org/licenses/by-sa/4.0/",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": []
}