Get a list of Instrument objects. Instruments have a 1:1 mapping with Observations.

GET /api/v3/onlineresources/?format=api&offset=87500
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
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    "next": "https://catalogue.ceda.ac.uk/api/v3/onlineresources/?format=api&limit=100&offset=87600",
    "previous": "https://catalogue.ceda.ac.uk/api/v3/onlineresources/?format=api&limit=100&offset=87400",
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            "function": "documentation",
            "linkage": "https://uk-air.defra.gov.uk/interactive-map",
            "name": "UK Air National monitoring network interactive map",
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                "short_code": "plat"
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            "function": "documentation",
            "linkage": "https://hess.copernicus.org/articles/25/1617/2021/hess-25-1617-2021.html",
            "name": "Pinnington et al. (2021) Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data",
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                "short_code": "ob"
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            "function": "documentation",
            "linkage": "https://expect-project.eu",
            "name": "HORIZON EXPECT project web page",
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                "uuid": "c731574d4e17456699feadb89907fda6",
                "short_code": "proj"
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            "function": "documentation",
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            "name": "Product User Guide",
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                "uuid": "5e879d08e0b34ea5aa5aac2b3fdf2c2f",
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            "name": "Anonymous ftp server for ESA CCI",
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            "linkage": "https://climate.esa.int/en/projects/water-vapour/key-documents/",
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            "function": "documentation",
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            "name": "Hegglin et al., ESSD, https://doi.org/10.5194/essd-2020-342, 2021 (input datasets)",
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                "uuid": "5e7707de112d4df2b8fbbaabf3bf7936",
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            "function": "documentation",
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            "name": "Hegglin et al., Nature Geosc., DOI: 10.1038/NGEO2236, 2014 (merging algorithm)",
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            "function": "documentation",
            "linkage": "https://climate.esa.int/projects/sea-state/",
            "name": "ESA CCI Sea State project website",
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            "function": "documentation",
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            "name": "Product User Guide",
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            "function": "documentation",
            "linkage": "https://www.sciencedirect.com/science/article/pii/S0034425722003108?via%3Dihub",
            "name": "Pleskachevsky, A.; Tings, B.; Wiehle, S.; Jacobsen, S.; (DLR): Multiparametric Sea State Fields from Synthetic Aperture Radar for Maritime Situational Awareness, Remote Sensing Of Environment, 2022",
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            "name": "Pleskachevsky, A., Tings, B., S. Wiehle, S., Imber, J., Jacobsen, S., 2022. Multiparametric sea state fields from synthetic aperture radar for maritime situational awareness. Remote Sens. Environ., vol. 280, Oct. 2022, Art. no. 113200.",
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            "name": "Swansea University Climate High-resolution UK Particulate Matter - Quick Start Guide (v1.0)",
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            "function": "documentation",
            "linkage": "https://doi.org/10.5281/zenodo.20394852",
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            "function": "documentation",
            "linkage": "https://doi.org/10.5281/zenodo.20394157",
            "name": "Swansea University Climate High-resolution UK Aerosol Optical Depth - Quick Start Guide (v1.0)",
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            "function": "documentation",
            "linkage": "https://doi.org/10.5281/zenodo.20394157",
            "name": "Swansea University Climate High-resolution UK Aerosol Optical Depth - Quick Start Guide (v1.0)",
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            "function": "documentation",
            "linkage": "https://doi.org/10.5281/zenodo.20394157",
            "name": "Swansea University Climate High-resolution UK Aerosol Optical Depth - Quick Start Guide (v1.0)",
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            "function": "documentation",
            "linkage": "https://doi.org/10.5281/zenodo.20394852",
            "name": "Swansea University Climate High-resolution UK Particulate Matter - Quick Start Guide (v1.0)",
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            "function": "documentation",
            "linkage": "https://doi.org/10.1002/gdj3.78",
            "name": "Hollis, D, McCarthy, MP, Kendon, M, Legg, T, Simpson, I. HadUK‐Grid—A new UK dataset of gridded climate observations. Geosci Data J. 2019; 00: 1– 9. https://doi.org/10.1002/gdj3.78",
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            "linkage": "https://rmets.onlinelibrary.wiley.com/doi/10.1002/gdj3.157",
            "name": "Hawkins et al. (2022): Millions of historical monthly rainfall observations taken in the UK and Ireland rescued by citizen scientists. Geoscience Data Journal. Article DOI: 10.1002/gdj3.157",
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            "function": "documentation",
            "linkage": "https://www.metoffice.gov.uk/research/climate/maps-and-data/data/haduk-grid/haduk-grid",
            "name": "Met Office documentation on HadUK-Grid data",
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            "function": "documentation",
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            "function": "documentation",
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            "name": "HadUK-Grid Summary Change Log (upto version v1.3.2.ceda) detailing changes to available data and processing",
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            "function": "documentation",
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            "name": "Product User Guide",
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            "name": "Product User Guide",
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            "function": "documentation",
            "linkage": "https://doi.org/10.1029/2019GL082182",
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            "name": "Anonymous ftp server for ESA CCI",
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            "function": "dataService",
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            "name": "Anonymous ftp server for ESA CCI",
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                "short_code": "ob"
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        {
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            "function": "dataService",
            "linkage": "ftp://anon-ftp.ceda.ac.uk/neodc/esacci/land_surface_temperature/data/GOES_IMAGER_ABI/L3U/v2.00",
            "name": "Anonymous ftp server for ESA CCI",
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            "name": "Climate Change in the Arctic and North Atlantic Region and Impacts on the UK",
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            "name": "Ghent, D. J., Anand, J. S., Veal, K., Remedios, J. J. (2024). The operational and climate land surface temperature products from the Sea and Land Surface Temperature Radiometers on Sentinel-3A and 3B. Remote Sensing, 16, 3403. https://doi.org/10.3390/rs16183403",
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            "name": "Anonymous ftp site for CCI data download",
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