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/33428/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 33428,
    "uuid": "71c2e401df5e4798b917ae4a353daff1",
    "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.17 (v20211208)",
    "abstract": "Data for Figure 3.17 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.17 shows observed and simulated global monsoon domain, intensity, and circulation. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in a single file.  \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains\r\n \r\n - Observed and simulated global monsoon domain and summer minus winter precipitation and 850hPa wind velocity\r\n - Global land monsoon precipitation index and Northern Hemisphere summer monsoon circulation index.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All data are given in global_monsoon.nc file.\r\n\r\nPanel a:\r\n \r\n - uRef & vRef: vector\r\n - prRef: shading\r\n - domainRef: domain (1 = monsoon, 0 = not monsoon)\r\n\r\nPanel b:\r\n \r\n - uMME & vMME: vector\r\n - prMME: shading\r\n - domainMME: monsoon domain (1 = monsoon, 0 = not monsoon)\r\n\r\nPanel c:\r\n \r\n - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_cmip6: red curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_cmip5: blue curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_amip: yellow curve and shading\r\n - GMprecip_CMAP: black dotted curve\r\n - GMprecip_CRU-TS: black solid curve\r\n - GMprecip_GPCC: black dashed-dotted curve\r\n - GMprecip_GPCP-SG: black dashed curve\r\n\r\n\r\nPanel d:\r\n \r\n - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_cmip6: red curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_cmip5: blue curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_amip: yellow curve and shading\r\n - Max-min range of NHMcirc_20CRv3: grey hatching\r\n - NHMcirc_ERA-20C: black dash-dotted curve\r\n - NHMcirc_ERA5: black solid curve\r\n - NHMcirc_JRA-55: dashed curve\r\n - NHMcirc_MERRA2: dotted curve\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model, which is given as the weight attribute of each variable.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains supporting information on the figure in Section and details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo.",
    "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, large-scale indicators, Natural variability, anthropogenically-forced change, observed changes, Figure 3.17, Global monsoon domain, monsoon precipitation, monsoon circulation, global land monsoon precipitation, Northern Hemisphere summer monsoon circulation index, CMIP5, CMIP6, AMIP",
    "publicationState": "citable",
    "dataPublishedTime": "2022-04-01T15:01:25",
    "doiPublishedTime": "2023-02-08T18:01:19.397972",
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37116/?format=api",
        "dataPath": "/badc/ar6_wg1/data/ch_03/ch3_fig17/v20211208",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 1226552,
        "numberOfFiles": 4,
        "fileFormat": "netCDF"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9179/?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/3301/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3302/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47688/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47689/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47690/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47691/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47692/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47693/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47694/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47695/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47696/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47697/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/47698/?format=api"
    ],
    "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12363/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/32705/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32718/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149256/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149250/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149251/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149252/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149253/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149254/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149255/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149257/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/149258/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/33430/?format=api",
    "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"
        }
    ]
}