Observation Instance – Django REST framework

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/38277/?format=api

HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 38277,
    "uuid": "39b789cb48694497941cd0c17f99bd69",
    "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.14 v20220930",
    "abstract": "Input Data for Figure 6.14 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.14 shows multi-model annual mean change in surface O3 (ppb) concentrations at different warming levels.\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\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. 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. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with input data provided for all panels in the main directory.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains gridded monthly, annual and seasonal mean surface ozone concentrations from 5 different CMIP6 models covering period 2015 to 2099 for the ssp370SST and ssp370pdSST AerChemMIP scenarios.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All of the individual CMIP6 model data files provided are used to create a mulit-model mean difference between the two different scenarios at the predetermined temperature thresholds for each model.\r\n\r\ndatafile: ‘MRI-ESM2-0_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’\r\ndatafile: ‘MRI-ESM2-0_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370SST_2015_2099_all.nc’\r\ndatafile: ‘GFDL-ESM4_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’\r\ndatafile: ‘GFDL-ESM4_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370SST_2015_2099_all.nc’\r\ndatafile: ‘GISS-E2-1-G_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’\r\ndatafile: ‘GISS-E2-1-G_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370SST_2015_2099_all.nc’\r\ndatafile: ‘UKESM1-0-LL_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’\r\ndatafile: ‘UKESM1-0-LL_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The plotting code (CMIP6_global_2D_ann_O3_resp_at_diff_temp_thresholds.py) that is provided along with this dataset to reproduce the figure will firstly extract the annual mean surface ozone concentrations for all years for each model and scenario. Then it will extract the relevant 20 years worth of data for each scenario based on the pre-calculated year that model exceeded the relevant temperature threshold for each figure panel. A difference between the scenarios at this temperature threshold will be calculated for the particular model and then be used with the same data from all the models to create a multi-model mean difference that is used for each panel of the figure. Significance testing to applied to calculate where at least one model does not agree on the sign of the change between the two scenarios.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP370 is the Shared Socioeconomic Pathway which represents the upper-middle range of radiative forcing and development scenarios, consistent with RCP6.0 and SST stands for Sea Surface Temperature.\r\nppb stands for parts per billion.\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 figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the code for the figure, archived on Zenodo.",
    "keywords": "Air quality, Climate, Ozone, IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis",
    "publicationState": "citable",
    "dataPublishedTime": "2023-05-31T13:29:08",
    "doiPublishedTime": "2023-07-03T14:37:02.269132",
    "updateFrequency": "notPlanned",
    "status": "ongoing",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38278/?format=api",
        "dataPath": "/badc/ar6_wg1/data/ch_06/inputdata_ch6_fig14/v20220930",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 1410241860,
        "numberOfFiles": 11,
        "fileFormat": "Data are netCDF formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10550/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3661/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api",
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    ],
    "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\n Data 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/12571/?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/32721/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182256/?format=api",
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    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/38279/?format=api",
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        {
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            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
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            "label": "public: None group",
            "licenceURL": "http://creativecommons.org/licenses/by/4.0/",
            "licenceClassifications": "any"
        }
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    "discoveryKeywords": []
}