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`
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- `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`
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Filters can be stacked to build an 'AND' relationship. E.g.

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GET /api/v2/observations/37901/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 37901,
    "uuid": "df7d665d7b7c4cadbd08558ea2e103c8",
    "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Box TS4, Figure 1 (v20220817)",
    "abstract": "Input Data for Box TS4 from Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nBox TS4, Figure 1 shows global mean sea level change on different time scales and under different scenarios.\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\nArias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\nWhen citing the SSP-based sea-level projections, please also include the following citation:\r\nGarner, G. G., T. Hermans, R. E. Kopp, A. B. A. Slangen, T. L. Edwards, A. Levermann, S. Nowikci, M. D. Palmer, C. Smith, B. Fox-Kemper, H. T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S. S. Drijfhout, T. L. Edwards, N. R. Golledge, M. Hemer, G. Krinner, A. Mix, D. Notz, S. Nowicki, I. S. Nurhati, L. Ruiz, J-B. Sallée, Y. Yu, L. Hua, T. Palmer, B. Pearson, 2021. IPCC AR6 Global Mean Sea-Level Rise Projections. Version 20210809. https://doi.org/10.5281/zenodo.5914710.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has three panels. Panel a shows global mean sea level (GMSL) change from 1900 to 2150, observed (1900–2018) and projected under the Shared Socioeconomic Pathway (SSP) scenarios (2000–2150). Panel b shows GMSL change on 100-, 2,000-, and 10,000-year time scales as a function of global surface temperature. Panel c shows timing of exceedance of different GMSL thresholds under different SSPs. \r\n\r\nInput data is only available for panel a and c. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nGlobal mean sea level change time-series from 1901-2150 for:\r\n- Observed global mean sea level change (1901-2018).\r\n- Projected global mean sea level change (2005-2150).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Box TS4, Figure 1:\r\n\r\nSSP-based global mean sea level projections are archived as\r\n\r\nGarner, G. G., Hermans, T., Kopp, R. E., Slangen, A. B. A., Edwards, T. L., Levermann, A., Nowicki, S., Palmer, M. D., Smith, C., Fox-Kemper, B., Hewitt, H. T., Xiao, C., Aðalgeirsdóttir, G., Drijfhout, S. S., Edwards, T. L., Golledge, N. R., Hemer, M., Krinner, G., Mix, A., … Pearson, B. (2021). IPCC AR6 Sea Level Projections (Version 20210809) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5914710\r\n\r\nPanel a:\r\n\r\nConsensus observational GMSL curve: gmsl_altimeter+TG_ensemble_28012021.mat\r\nThis file is not provided but a link to the Chapter 9 GitHub repository which contains this file is provided.\r\n\r\nSSP-based GMSL projections through 2100, medium confidence:\r\n- pbox1e_total_ssp119_globalsl_figuredata.nc\r\n- pbox1e_total_ssp126_globalsl_figuredata.nc\r\n- pbox1e_total_ssp245_globalsl_figuredata.nc\r\n- pbox1e_total_ssp370_globalsl_figuredata.nc\r\n- pbox1e_total_ssp585_globalsl_figuredata.nc\r\n\r\nSSP-based GMSL projections after 2100, medium confidence:\r\n- pbox1f_total_ssp119_globalsl_figuredata.nc\r\n- pbox1f_total_ssp126_globalsl_figuredata.nc\r\n- pbox1f_total_ssp245_globalsl_figuredata.nc\r\n- pbox1f_total_ssp370_globalsl_figuredata.nc\r\n- pbox1f_total_ssp585_globalsl_figuredata.nc\r\n\r\nSSP-based GMSL projections through 2100, low confidence:\r\n- pbox2e_total_ssp126_globalsl_figuredata.nc\r\n- pbox2e_total_ssp585_globalsl_figuredata.nc\r\n\r\nSSP-based GMSL projections after 2100, low confidence:\r\n- pbox2f_total_ssp126_globalsl_figuredata.nc\r\n- pbox2f_total_ssp245_globalsl_figuredata.nc\r\n- pbox2f_total_ssp585_globalsl_figuredata.nc\r\n\r\nPanel c:\r\n\r\nThreshold exceedance timing under different SSPs, medium confidence, with parametric emulator for Antarctic ice sheet:\r\n- wf_1f_ssp119_milestone_figuredata.nc\r\n- wf_1f_ssp126_milestone_figuredata.nc\r\n- wf_1f_ssp245_milestone_figuredata.nc\r\n- wf_1f_ssp370_milestone_figuredata.nc\r\n- wf_1f_ssp585_milestone_figuredata.nc\r\n\r\nThreshold exceedance timing under different SSPs, medium confidence, with LARMIP-2 emulator for Antarctic ice sheet:\r\n- wf_2f_ssp119_milestone_figuredata.nc\r\n- wf_2f_ssp126_milestone_figuredata.nc\r\n- wf_2f_ssp245_milestone_figuredata.nc\r\n- wf_2f_ssp370_milestone_figuredata.nc\r\n- wf_2f_ssp585_milestone_figuredata.nc\r\n\r\nThreshold exceedance timing under different SSPs, low confidence, with DeConto et al. 2021-based Antarctic ice sheet projections incorporating Marine Ice Cliff Instability:\r\n- wf_3f_ssp126_milestone_figuredata.nc\r\n- wf_3f_ssp585_milestone_figuredata.nc\r\n\r\nThreshold exceedance timing under different SSPs, low confidence, with Bamber et al. 2019-based structured expert judgement ice sheet projections:\r\n- wf_4_ssp126_milestone_figuredata.nc\r\n- wf_4_ssp585_milestone_figuredata.nc\r\n\r\nSee sections 9.6.3.2 and 9.6.3.3 for detailed information on the SSP-based global mean sea level projections and their production.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanel a data were plotted using standard matplotlib software and a Linux shell script,  - code is available via the link in the documentation. The code requires the input data provided here and the additional gmsl_altimeter+TG_ensemble_28012021.mat file from Figure 9.27. The link to this file from the Chapter 9 GitHub is provided. \r\n\r\nPanel c data were plotted using standard open-source R software - code is available via the link in the documentation.\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 (Technical Summary)\r\n- Link to the code for the figure, archived on Zenodo.\r\n- Link to the sea-level projections associated with the Intergovernmental Panel on Climate Change Sixth Assessment Report, archived on Zenodo.\r\n - Link to figure data in matlab format on github",
    "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, sea level",
    "publicationState": "citable",
    "dataPublishedTime": "2023-06-06T14:14:47",
    "doiPublishedTime": "2023-08-02T12:44:08.623033",
    "updateFrequency": "",
    "status": "ongoing",
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        ],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 403412,
        "numberOfFiles": 33,
        "fileFormat": "NetCDF, txt"
    },
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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\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).",
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    "language": "English",
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