GET

Observation Instance

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/26585/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 26585,
    "uuid": "eca40c1addba4d0782aa7fd45e998c81",
    "title": "30 year climatologies from model output as used in the 2001 IPCC Third Assessment Report (TAR)",
    "abstract": "Data used in Climate Change 2001, the Third Assessment Report (TAR) of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\n\r\nSimulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\nClimatology data calculated from global climate model simulations of experiments representative of Special Report on Emission Scenarios (SRES) scenarios: A1F, A1T, A1a, A2a, A2b, A2c, B1a, B2b.\r\nThe climatologies are 30-year averages. Climate anomalies are expressed relative to the period 1961-1990. The monthly climatology data covers the period from 1961-2100. The climatologies are of global scope and are provided on latitude-longitude grids.",
    "keywords": "IPCC, DDC, TAR, SRES, Climate Change",
    "publicationState": "published",
    "dataPublishedTime": "2021-06-01T21:15:29",
    "doiPublishedTime": null,
    "updateFrequency": "",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26586/?format=api",
        "dataPath": "/badc/ipcc-ddc/data/netcdf/sres",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 649046392,
        "numberOfFiles": 3194,
        "fileFormat": "netcdf"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7160/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1319/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1320/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58119/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58120/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58121/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58122/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58123/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58124/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58125/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58126/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58127/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58128/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58129/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58130/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58131/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58132/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58133/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58134/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58135/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58136/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58137/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58138/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58139/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58140/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58141/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58142/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58143/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58144/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58145/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58146/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58147/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58148/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58149/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58150/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58151/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58152/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58153/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58154/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58155/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58156/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58157/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58158/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58159/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58160/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58161/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58162/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58163/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58164/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58165/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58166/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58167/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58168/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58169/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58170/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58171/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58172/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58173/?format=api"
    ],
    "dataLineage": "Climatology data calculated from global climate model simulations for SRES experiments A1F, A1T, A1a, A2a, A2b, A2c, B1a, B2b.\r\nThe climatologies are 30-year averages. Climate anomalies are expressed relative to the period 1961-1990. \r\n\r\nThe Models.\r\nCCCma: The atmospheric component AGCM2 is a spectral model with triangular truncation at wave no. 32 and 10 vertical levels. The ocean model component based on the GFDL MOM 1.1 code with 29 vertical levels and has a isopycnal / eddy stirring parameterization. \r\nCSIRO:  The Mark 2 CSIRO coupled global climate model consists of the atmospheric component which has 9 vertical levels with a R21 horizontal resolution and the ocean component which was based on the GFDL code. \r\nECHAM4: The model consists of the atmospheric component which based on the weather forecast model of ECMWF. The atmosphere component is the standard model version of a 19-level hybrid sigma-pressure coordinate system. The ocean component is a model which computes with isopycnal coordinates.\r\nGFDL: The atmospheric component solves the primitive equations using a spectral transform method, GFDL_R30 means a rhomboidal 30 truncation and the ocean component solves the primitive equation of motion using the Boussinesq, rigid-lid and hydrostatic approximation and based on GFDL Modular Ocean Model version 1.\r\nHadCM3: The Hadley Centre Circulation Model is a 3-dim AOGCM. The atmospheric component has a 19 levels, the horizontal resolution is comparable with a spectral resolution of T42, while the ocean component has a 20 levels resolution. \r\nNIES:  The model developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. .\r\n\r\nThe SRES Experiments.\r\nA1B Globalisation with rapid economic growth and a balanced emphasis on all energy sources. \r\nA1T Globalisation with rapid economic growth and an emphasis on non-fossil energy sources. \r\nA1FI Globalisation with rapid economic growth and an emphasis on fossil fuels (Fossil Intensive). \r\nA2 Regionalisation with regionally oriented economic development. A2a, A2b and A2c follow the same experiment design and historic and future forcings but start from different initial conditions.\r\nB1 Globalisation with global environmental sustainability.  \r\nB2 Regionalisation with local  environmental sustainability. B2a and B2b follow the same experiment design and historic and future forcings but start from different initial conditions.\r\n\r\nNotes.\r\n * TAR uses CMIP2 simulations.\r\n * Only two models have run all the experiments.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/26577/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26581/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/5525/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146581/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111723/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111719/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146576/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146577/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146578/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146579/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146580/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111724/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "http://creativecommons.org/licenses/by/4.0/",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}