Get a list of Result objects. Results have a 1:1 mapping with Observations.

GET /api/v3/results/?format=api&offset=11500
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{
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    "next": "https://catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=11600",
    "previous": "https://catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=11400",
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            "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.",
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                "title": "FAAM C405 GRIM-SAF flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for GRIM-SAF FAAM Aircraft Project project."
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            "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 45458,
                "uuid": "25c8090666d14b209935cdb83153e637",
                "short_code": "ob",
                "title": "FAAM C406 GRIM-SAF flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for GRIM-SAF FAAM Aircraft Project project."
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                "title": "FAAM C407 GRIM-SAF flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for GRIM-SAF FAAM Aircraft Project project."
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                "title": "FAAM C408 SHIFT flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for SHIFT FAAM Aircraft Project project."
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            "storageStatus": "online",
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                "title": "FAAM C409 REVEAL flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for REVEAL FAAM Aircraft Project project."
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                "title": "FAAM C410 REVEAL flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for REVEAL FAAM Aircraft Project project."
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                "title": "FAAM C411 SHIFT flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for SHIFT FAAM Aircraft Project project."
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                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for REVEAL FAAM Aircraft Project project."
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                "uuid": "c71ec7992a194c8bb020e65fc193c5b6",
                "short_code": "ob",
                "title": "FAAM C413 REVEAL flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for REVEAL FAAM Aircraft Project project."
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            "storageStatus": "online",
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                "uuid": "bf962f7bb1ee4fff82f3da827a9cd357",
                "short_code": "ob",
                "title": "FAAM C414 SHIFT flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for SHIFT FAAM Aircraft Project project."
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            "observation": {
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                "uuid": "475b0e36972c41119e6ca9140d810bb9",
                "short_code": "ob",
                "title": "FAAM C415 REVEAL flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for REVEAL FAAM Aircraft Project project."
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            "observation": {
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                "uuid": "6ab61e2e4bae43ea9592997804dae170",
                "short_code": "ob",
                "title": "FAAM C416 REVEAL flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for REVEAL FAAM Aircraft Project project."
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                "uuid": "4da0f083c3764e959923a62ffb620e43",
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                "title": "FAAM C417 REVEAL flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for REVEAL FAAM Aircraft Project project."
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            "observation": {
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                "short_code": "ob",
                "title": "FAAM C418 REVEAL flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for REVEAL FAAM Aircraft Project project."
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                "title": "FAAM C419 TEAMxUK flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for TEAMxUK project."
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                "title": "FAAM C420 TEAMxUK flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for TEAMxUK project."
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                "title": "FAAM C421 TEAMxUK flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for TEAMxUK project."
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                "title": "FAAM C422 TEAMxUK flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for TEAMxUK project."
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                "title": "FAAM C423 TEAMxUK flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for TEAMxUK project."
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                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for TEAMxUK project."
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                "title": "FAAM C425 TEAMxUK flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for TEAMxUK project."
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                "title": "FAAM C426 TEAMxUK flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for TEAMxUK project."
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            "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.",
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                "title": "FAAM C427 TEAMxUK flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for TEAMxUK project."
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            "observation": {
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                "title": "FAAM C428 TEAMxUK flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for TEAMxUK project."
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                "title": "ESA Lakes Climate Change Initiative (Lakes_cci):  Lake products, Version 3.0",
                "abstract": "This dataset contains the Lakes Essential Climate Variable (ECV) Products, comprised of processed satellite observations at the global scale, over the period 1992-2023, for over 2000 inland water bodies. This dataset was produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. For more information about the Lakes_cci please visit the project website.\r\n\r\nThis is version 3.0.0 of the dataset which benefits from longer observation time series, improved spatial coverage, new variables and improved algorithms for certain variables.\r\n\r\nThe Essential Climate Variable Products included in this dataset are:\r\n•Lake Water Level (LWL), derived from satellite altimetry, fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate change.\r\n•Lake Water Extent (LWE), modelled from the relation between LWL and high-resolution spatial extent observed at various time-points, describing the areal extent of the water body. This allows the observation of drought in arid environments, expansion in high Asia, or impact of large-scale atmospheric oscillations on lakes in tropical regions for example.\r\n•Lake Surface Water temperature (LSWT), derived from optical and thermal satellite observations, correlated with regional air temperatures and supporting analysis of vertical mixing regimes, biogeochemical cycling and seasonality.\r\n•Lake Ice Cover (LIC), determined from optical observations, describing the freeze-up in autumn and break-up of ice in spring, which are proxies for gradually changing climate patterns and seasonality.\r\n•Lake Water-Leaving Reflectance (LWLR), derived from optical satellite observations, and supporting interpretation of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and serving as an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).\r\n•Lake Ice Thickness (LIT), provided for 13 lakes from radar altimetry to study the integrity and velocity of lake ice formation. \r\n•Lake Storage Change (LSC), derived from Water extent and/or level, describing water volume evolution of water bodies over time to inform studies of water stress. \r\n\r\nData generated in the Lakes_cci are derived from over 35 satellite sensors. The following sensors are associated with each of the ECV Products:\r\n•LWL: Poseidon-1 (TOPEX/Poseidon), Poseidon-2 (Jason-1),  Poseidon-3 (Jason-2), Poseidon-3B (Jason-3), Poseidon-4 (Sentinel-6A), Radar Altimeter RA-2 (Envisat), AltiKa (SARAL), GFO, SAR Altimeter – SRAL (Sentinel-3A, Sentinel-3B), Radar Altimeter RA (ERS-1, ERS-2)\r\n•LWE: Landsat (4 TM, 5 TM, 7 ETM+, 8 OLI), Sentinel-1 C-band SAR, Sentinel-2 MSI, Sentinel-3A SRAL, Sentinel-3B SRAL, ERS-1 AMI, ERS-2 AMI\r\n•LSWT: Envisat AATSR, Terra/Aqua MODIS, Sentinel-3A ATTSR-2, Sentinel-3B, ERS-2 AVHRR, Metop-A/B\r\n•LIC: Terra/Aqua MODIS\r\n•LWLR: Envisat MERIS, Sentinel-3A OLCI A/B, Aqua MODIS\r\n•LIT: Jason1, Jason2, Jason3, POSEIDON-2, POSEIDON-3 and POSEIDON-3B\r\n•LSC: All sensors listed under LWL and LWE.\r\n\r\nDetailed information on the generation and validation of this dataset is available from the Lakes_cci documentation available on the project website, relating to this specific release. A further presentation of the dataset v2 can be found in Carrea, L., Crétaux, JF., Liu, X. et al. Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies. Sci Data 10, 30 (2023). https://doi.org/10.1038/s41597-022-01889-z."
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                "title": "Northwest European Seasonal Weather Prediction from Complex Systems Modelling for Summer and Winter from 1940 to 2023",
                "abstract": "This dataset provides Northwest European seasonal weather predictions from complex systems modelling for Summer and Winter from 1940 to 2023. \r\n\r\nTime series of standardised anomalies with respect to the normalisation period 1981-2010 were obtained for each dataset, covering sea ice cover, sea surface temperatures, tropical precipitation, sea level pressure, the stratospheric polar vortex, snow cover, sunspot activity, volcanic activity and carbon dioxide concentrations. In addition, using 500 hPa geopotential height data from the ERA5 reanalysis, time series of jet speed and latitude were derived and the top three principal empirical orthogonal functions of atmospheric circulation variability for the North Atlantic and European sector.\r\n\r\nThe datasets are sets of standardised values and anomalies for different predictors of atmospheric circulation variability, which can be fed into NARMAX machine learning models to generate forecasts of the three leading empirical orthogonal functions of atmospheric circulation variability - roughly corresponding to the North Atlantic Oscillation (NAO), East Atlantic Pattern (EA) and Scandinavian Pattern (SCA). In the SF-NARMAX project these values were used to generate NARMAX forecasts for June, for July/August, and for meteorological winter (December/January/February), which were then compared with actual outcomes, to help assess the reliability of the NARMAX models.\r\n\r\nThe datasets used for generating the predictor datasets for both winter and summer can be found alongside supporting documentation. These datasets relate to NERC grant: NE/V001787/1."
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                "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): TROPOMI monthly mean level 3 tropospheric nitrogen dioxide (NO2) version 1.0",
                "abstract": "The dataset was produced as part of the European Space Agency (ESA) Climate Change Initiative+ (CCI+) precursors for aerosols and ozone project by the Royal Netherlands Meteorological Institute (KNMI). \r\n\r\nTROPOspheric Monitoring Instrument (TROPOMI) global tropospheric nitrogen dioxide (NO2) spatiotemporally averaged per month over a standard grid from May 2018 to December 2021. The dataset is provided in four different spatial resolutions: 0.2x0.2 (900x1800 grid cells), 0.5x0.5 (360x720), 1x1 (180x360), 2x2.5 (91x144) and includes auxilliary variables (e.g. cloud and surface properties, propagated level 3 uncertainties, averaging kernels). The data are provided in monthly netCDF files for each spatial resolution.\r\n\r\nThe version number is 1.0. Data are available in NetCDF format. https://doi.org/10.5194/essd-17-4627-2025"
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                "short_code": "ob",
                "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): monthly L3 HCHO from TROPOMI, version 2.0",
                "abstract": "The Formaldehyde (HCHO) Climate Data Record (CDR) product is a Level 3 (L3) HCHO product developed by using satellite data from the Tropospheric Monitoring Instrument  (TROPOMI) (on Sentinel 5P) as part of the ESA (European Space Agency) Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis dataset provides gridded HCHO tropospheric column densities of monthly 0.125°x0.125° resolution grids from May 2018 to December 2024. The L3 product is based on the Level 2 HCHO product created for the Precursors_cci project. \r\n\r\nCompared to the operational TROPOMI product, the air mass factors have been reprocessed using an update albedo climatology, and the CAMS (Copernicus Atmosphere Monitoring Service) Reanalysis Model for the a priori vertical profiles. The background correction and the quality values have also been updated. In addition to the main product results, such as HCHO slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels.\r\n \r\nThe version number is 2.0. Data are available in NetCDF format. https://doi.org/10.18758/y591kda5\r\n\r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)"
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                "title": "Forced ocean model experiments using NEMO to isolate contribution of momentum and buoyancy fluxes to AMOC variability from 1958-2023.",
                "abstract": "This dataset was produced to investigate Atlantic Meridional Overturning Circulation (AMOC) variability driven by either momentum or buoyancy flux forcings, and its sensitivity to model resolution. The dataset is the global ocean model output for the years 1958-2023. The experimental design was developed by Amber Walsh and colleagues at the National Oceanography Centre (NOC), in collaboration with researchers at the National Center for Atmospheric Research (NCAR). Monthly output is provided at 1 degree and 0.25 degree horizontal resolution for four experiments: (i) interannual momentum flux forcing, (ii) interannual buoyancy flux forcing, (iii) fully interannually forced control (IAF), and (iv) repeat-year forcing (RYF), which excludes forced interannual variability. A wide range of ocean state variables are available for each experiment. All model runs were conducted with the NEMO ocean model using a modified NOC Near Present Day configuration."
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                "title": "NERC-ARF flight 2017_172 for ES17_126: Airborne remote sensing measurements",
                "abstract": "Airborne remote sensing measurements collected on 21 June 2017 by the Natural Environment Research Council's Airborne Research Facility (NERC-ARF) onboard the British Antarctic Survey (BAS) Twin-Otter aircraft for the NERC-ARF ES17_126 Project (flight reference: 2017_172). This dataset comprises: digital photography data collected using a Leica RCD105 camera, hyperspectral data collected using a Specim Aisa FENIX imager and hyperspectral data collected using a Specim Aisa OWL imager.\r\n\r\nData were collected over the Alto Tajo, Spain area."
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                "title": "NERC-ARF flight 2017_166 for RG17_26: Airborne remote sensing measurements",
                "abstract": "Airborne remote sensing measurements collected on 15 June 2017 by the Natural Environment Research Council's Airborne Research Facility (NERC-ARF) onboard the British Antarctic Survey (BAS) Twin-Otter aircraft for the NERC-ARF RG17_26 Project (flight reference: 2017_166). This dataset comprises: digital photography data collected using a Leica RCD105 camera, hyperspectral data collected using a Specim Aisa FENIX imager and hyperspectral data collected using a Specim Aisa OWL imager.\r\n\r\nData were collected over the  Albacete, Spain area."
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                "title": "NERC-ARF flight 2017_170 for ES17_126: Airborne remote sensing measurements",
                "abstract": "Airborne remote sensing measurements collected on 19 June 2017 by the Natural Environment Research Council's Airborne Research Facility (NERC-ARF) onboard the British Antarctic Survey (BAS) Twin-Otter aircraft for the NERC-ARF ES17_126 Project (flight reference: 2017_170). This dataset comprises: digital photography data collected using a Leica RCD105 camera, hyperspectral data collected using a Specim Aisa FENIX imager and hyperspectral data collected using a Specim Aisa OWL imager.\r\n\r\nData were collected over the Alto Tajo, Spain area."
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                "title": "NERC-ARF flight 2017_167a for ES17_136: Airborne remote sensing measurements",
                "abstract": "Airborne remote sensing measurements collected on 16 June 2017 by the Natural Environment Research Council's Airborne Research Facility (NERC-ARF) onboard the British Antarctic Survey (BAS) Twin-Otter aircraft for the NERC-ARF ES17_136 Project (flight reference: 2017_167a). This dataset comprises: digital photography data collected using a Leica RCD105 camera, hyperspectral data collected using a Specim Aisa FENIX imager and hyperspectral data collected using a Specim Aisa OWL imager.\r\n\r\nData were collected over the Albacete, Spain area."
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            "observation": {
                "ob_id": 45707,
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                "short_code": "ob",
                "title": "NERC-ARF flight 2017_167b for ES17_136: Airborne remote sensing measurements",
                "abstract": "Airborne remote sensing measurements collected on 16 June 2017 by the Natural Environment Research Council's Airborne Research Facility (NERC-ARF) onboard the British Antarctic Survey (BAS) Twin-Otter aircraft for the NERC-ARF ES17_136 Project: Albacete, Spain (ES17_136) project (flight reference: 2017_167b). This dataset comprises: digital photography data collected using a Leica RCD105 camera, hyperspectral data collected using a Specim Aisa FENIX imager and hyperspectral data collected using a Specim Aisa OWL imager.\r\n\r\nData were collected over the Albacete, Spain area."
            },
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            "observation": {
                "ob_id": 45711,
                "uuid": "43eaaec25aa64fc6aa8bc5e93fffe189",
                "short_code": "ob",
                "title": "NERC-ARF flight 2017_168 for ES17_106: Airborne remote sensing measurements",
                "abstract": "Airborne remote sensing measurements collected on 17 June 2017 by the Natural Environment Research Council's Airborne Research Facility (NERC-ARF) onboard the British Antarctic Survey (BAS) Twin-Otter aircraft for the NERC-ARF ES17_106 Project: Validation of the operational and user-generated vegetation products derived from Sentinel-2 and -3 (flight reference: 2017_168). This dataset comprises: digital photography data collected using a Leica RCD105 camera, hyperspectral data collected using a Specim Aisa FENIX imager and hyperspectral data collected using a Specim Aisa OWL imager.\r\n\r\nData were collected over the Valencia, Spain area."
            },
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        {
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            "curationCategory": "A",
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            "observation": {
                "ob_id": 45719,
                "uuid": "e08ec540d696474e81b327746ba6f91f",
                "short_code": "ob",
                "title": "SPLICE project: Canopy inputs for the DART model derived from Terrestrial Laser Scans",
                "abstract": "This dataset contains terrestrial laser scanning (TLS) processed from eleven forest plots for use as inputs to the DART (Discrete Anisotropic Radiative Transfer) explicit radiative transfer model (Gastellu-Etcheggory et al. 2015). The forest plots are located across the globe in different habitats, and the largest is 120 m x 120 m. The terrestrial laser scanning was completed during the leaf-on period."
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            "observation": {
                "ob_id": 44803,
                "uuid": "bd3bdca3c9a24553893cafffe768fe56",
                "short_code": "ob",
                "title": "SSP370 data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in GHG emissions, near constant global SO2 emissions, and small global increases in carbonaceous aerosol.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
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                "ob_id": 45733,
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                "short_code": "ob",
                "title": "SSP370-126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (SO2, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
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        {
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            "observation": {
                "ob_id": 45735,
                "uuid": "89ed0d1383f34d48895e7c932516a557",
                "short_code": "ob",
                "title": "SSP370-NAE126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
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            "observation": {
                "ob_id": 45737,
                "uuid": "d6eed8410fd549909596bf35debd3514",
                "short_code": "ob",
                "title": "SSP370-AFR126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
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        {
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            "dataPath": "/badc/deposited2026/RAMIP_GFDL_data/NOAA-GFDL/GFDL-SPEAR_LO/ssp370-eas126aer",
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            "observation": {
                "ob_id": 45739,
                "uuid": "e75e03852e564f159146a7c65840f06d",
                "short_code": "ob",
                "title": "SSP370-EAS126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
            },
            "onlineresource_set": []
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        {
            "ob_id": 45742,
            "uuid": "ea96b2af61044ba9b73d8ea78c514134",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/deposited2026/RAMIP_GFDL_data/NOAA-GFDL/GFDL-SPEAR_LO/ssp370-sas126aer",
            "numberOfFiles": 320,
            "volume": 243097552604,
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            "observation": {
                "ob_id": 45741,
                "uuid": "7033ce01098b4bd6a2ac3d55c47bb584",
                "short_code": "ob",
                "title": "SSP370-SAS126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
                "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers."
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        {
            "ob_id": 45760,
            "uuid": "240e52caa1ff4f3ebb54eca3facf8630",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/precursors/data/SCIAMACHY_NO2_L3/v1.0/",
            "numberOfFiles": 101,
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            "storageLocation": "internal",
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            "observation": {
                "ob_id": 45368,
                "uuid": "81185d4545484f3fa53ac01ef1a7410c",
                "short_code": "ob",
                "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning SCIAMACHY NO2 L3 data products, version 1.0",
                "abstract": "This nitrogen dioxide (NO2) climate data record (CDR) is a newly developed monthly Level 3 product derived from measurements by the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) onboard the ESA Environmental Satellite (ENVISAT). The dataset has been generated within the framework of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThe SCIAMACHY NO2 Level 3 product contains comprehensive information, including essential variables (e.g., total, stratospheric, and tropospheric NO2 vertical column densities) and their uncertainties, observation viewing geometries, auxiliary input variables (e.g., surface albedo and cloud properties), and vertically resolved information (e.g., a priori profiles and averaging kernels) for each grid cell. The dataset is available at two spatial resolutions: 0.5° × 0.5° and 1.0° × 1.0°.\r\n\r\nThe version number is 1.0. The data are provided in NetCDF format."
            },
            "onlineresource_set": []
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        {
            "ob_id": 45761,
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            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/precursors/data/GOME_NO2_L3/v1.0/",
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            "observation": {
                "ob_id": 45367,
                "uuid": "7d7ce210a109408aac52066ef9599bd9",
                "short_code": "ob",
                "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning GOME NO2 L3 data products, version 1.0",
                "abstract": "This nitrogen dioxide (NO2) climate data record (CDR) is a newly developed monthly Level 3 product derived from measurements by the Global Ozone Monitoring Experiment (GOME) onboard the European Remote Sensing Satellite (ERS-2). The dataset has been generated within the framework of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThe GOME NO2 Level 3 product contains comprehensive information, including essential variables (e.g., total, stratospheric, and tropospheric NO2 vertical column densities) and their uncertainties, observation viewing geometries, auxiliary input variables (e.g., surface albedo and cloud properties), and vertically resolved information (e.g., a priori profiles and averaging kernels) for each grid cell. The dataset is available at two spatial resolutions: 0.5° × 0.5° and 1.0° × 1.0°.\r\n\r\nThe version number is 1.0. The data are provided in NetCDF format."
            },
            "onlineresource_set": []
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        {
            "ob_id": 45762,
            "uuid": "ae75272bac3740ff936a148a854a36c0",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/precursors/data/GOME-2_METOP-ABC_NO2_L3/v1.0/",
            "numberOfFiles": 789,
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            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 45369,
                "uuid": "685f769eba374f69b445f5487565f1ba",
                "short_code": "ob",
                "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning GOME-2 NO2 L3 data products, version 1.0",
                "abstract": "This nitrogen dioxide (NO2) climate data record (CDR) is a newly developed monthly Level 3 product derived from measurements by the Global Ozone Monitoring Experiment-2 (GOME-2) onboard the EUMETSAT's Meteorological Operational satellites MetOp-A, MetOp-B, and MetOp-C. The dataset has been generated within the framework of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThe GOME-2 NO2 Level 3 product contains comprehensive information, including essential variables (e.g., total, stratospheric, and tropospheric NO2 vertical column densities) and their uncertainties, observation viewing geometries, auxiliary input variables (e.g., surface albedo and cloud properties), and vertically resolved information (e.g., a priori profiles and averaging kernels) for each grid cell. The dataset is available at two spatial resolutions: 0.2° × 0.2° and 0.5° × 0.5°.\r\n\r\nProducts included in this collection are:\r\n-\tGOME-2/MetOp-A NO2 Level 3 product\r\n-\tGOME-2/MetOp-B NO2 Level 3 product\r\n-\tGOME-2/MetOp-C NO2 Level 3 product\r\n\r\nThe version number is 1.0. The data are provided in NetCDF format."
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            "onlineresource_set": []
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        {
            "ob_id": 45770,
            "uuid": "5b2be350c8814544b4bfbd6d8f1a4aad",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/vegetation_parameters/data/L3S/vp_products/v2.0/",
            "numberOfFiles": 69530,
            "volume": 314166422891,
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            "storageStatus": "online",
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                "uuid": "8d02d224437247f6a6270a575d457bd8",
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                "title": "ESA Vegetation Parameters Climate Change Initiative (VP_cci): LAI and fAPAR, Version 2.0",
                "abstract": "This dataset comprises the Climate Research Data Package 2 from the ESA Climate Change Initiative Vegetation Parameters Project (VP_cci).  It is a multi-sensor, jointly retrieved dataset of effective Leaf Area Index (LAI) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR), gridded at 1 km resolution for the period 2000-2020. The dataset is based on data from the satellite instruments SPOT4/5-VEGETATION1/2, PROBA-V, Metop/A/C-AVHRR, SNPP-VIIRS and Sentinel-3A/B-OLCI as input data. \r\n\r\n LAI (effective) and fAPAR are retrieved using OptiSAIL (see Blessing and Giering, 2021 doi:10.20944/preprints202109.0147.v1). The dataset is processed for a north-south transect from Finland to South-Africa and the full Mediterranean area, as well as for a set of globally distributed sites that is representative for all biomes and for those sites where in-situ reference data is available.  \r\n\r\nThe temporal resolution of both datasets is 5 days, but is computed using data selected from a symmetric 10-day window. The data are not smoothed in time. The transect is ordered in tiles (see the linked Product User Guide for reference). These files contain the fully validated layers of (effective) LAI, fAPAR, their uncertainties and the correlation between both. The sites additionally include the variables Chlorophyll a+b leaf pigment concentration (Cab), the fraction of Chlorophyll Absorbed Photosynthetically Active Radiation (fAPAR_Cab) and Surface Albedo calculated as bi-hemispheric reflectance (BHR) for diffuse illumination with a reference spectrum for spectral broadband intervals at visible wavelengths (VIS, 400-700 nm), near-infrared wavelengths (NIR, 700-2500 nm), and for the combined shortwave range (SW, 400-2500 nm), as well as directional-hemispherical reflectance (DHR) for the same spectral broadbands, computed for local solar noon. These additional variables are not validated.\r\n\r\nCompared to the previous dataset (CRDP-1), CRDP-2 has a better completeness, smoother temporal profiles and higher accuracy, especially for fAPAR. Further details about the data, including validation and intercomparison with similar datasets, can be found in the associated PDF documentation.\r\n\r\nTools are available for using the datasets from https://github.com/Christiaanvandertol/VegetationCCI.    Three notebooks are available\r\n- esacci.ipynb: A Jupyter Notebook to access, download and plot the data of a single tile, and to carry out a spatial aggregation\r\n- esacci_multi.ipynb: A Jupyter Notebook to access, download and plot time series for a specific location from tiles\r\n- ESACCI_LAI_clumping_correction.ipynb: A Jupyter Notebook to add the clumping index correction from MODIS and to calculate true LAI."
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            "onlineresource_set": []
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        {
            "ob_id": 45772,
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            "short_code": "result",
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            "dataPath": "/neodc/c3s_cp/data/L3C/slstra-slstrb/c3s/icdr/r01",
            "numberOfFiles": 3451,
            "volume": 839056068559,
            "fileFormat": "The data are in NetCDF format.",
            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 45771,
                "uuid": "ae4c3cbeb789434dae221a5fe1478c13",
                "short_code": "ob",
                "title": "Copernicus Climate Change Service: Cloud Properties L3 data from the SLSTR series, version 3.1",
                "abstract": "This record comprises 5.5 years (Jan 2017-Jun 2022) of global cloud observations from the Sea and Land Surface Temperature Radiometer (SLSTR) instruments, flown on board the Copernicus Sentinel-3A and B satellites. The data is provided as monthly 0.5 x 0.5 degree, and daily 0.1x0.1 degree, longitude-latitude averages containing fractional cloud coverage (the percentage of each grid cell covered by cloud), cloud-top height, cloud optical depth, effective radius and liquid/ice water paths, along with uncertainties for each parameter.\r\n\r\nThis dataset is a continuation of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci), produced from the Along Track Scanning Radiometer (ATSR) instruments, supplied to the Copernicus Climate Change Service (C3S). Full details of the dataset, include data-quality and validation information can be found via the C3S Climate Data Store (CDS)."
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                "title": "Copernicus Climate Change Service: Cloud Properties L3 data from the SLSTR series, versions 3.1.1 and 4.0",
                "abstract": "This record comprises 5.5 years (Jan 2017-Jun 2022) of global cloud observations from the Sea and Land Surface Temperature Radiometer (SLSTR) instruments, flown on board the Copernicus Sentinel-3A and B satellites. The data is provided as monthly 0.5 x 0.5 degree, and daily 0.1x0.1 degree, longitude-latitude averages containing fractional cloud coverage (the percentage of each grid cell covered by cloud), cloud-top height, cloud optical depth, effective radius and liquid/ice water paths, along with uncertainties for each parameter.\r\n\r\nThe data comes separately for each SLSTR instrument (v3.1.1 files) and as a combined SLSTR-A and SLSTR-B product (v4.0 files).\r\n\r\nThis dataset is a continuation of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci), produced from the Along Track Scanning Radiometer (ATSR) instruments, supplied to the Copernicus Climate Change Service (C3S). Full details of the dataset, include data-quality and validation information can be found via the C3S Climate Data Store (CDS)."
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                "short_code": "ob",
                "title": "Copernicus Climate Change Service: Earth Radiation Budget L3 data from the SLSTR series, version 3.1",
                "abstract": "This record comprises 5.5 years (Jan 2017-Jun 2022) of global Earth radiation budget observations from the Sea and Land Surface Temperature Radiometer (SLSTR) instruments, flown on board the Copernicus Sentinel-3A and B satellites. The data is provided as monthly 0.5 x 0.5 degree, longitude-latitude averages containing top-of-atmosphere outgoing longwave radiation and reflected solar radiation.\r\n\r\nThis dataset is a continuation of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci), produced from the Along Track Scanning Radiometer (ATSR) instruments, supplied to the Copernicus Climate Change Service (C3S). Full details of the dataset, include data-quality and validation information can be found via the C3S Climate Data Store (CDS)."
            },
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                "short_code": "ob",
                "title": "Copernicus Climate Change Service: Earth Radiation Budget L3 data from the SLSTR series, versions 3.1.1 and 4.0",
                "abstract": "This record comprises 5.5 years (Jan 2017-Jun 2022) of global Earth radiation budget observations from the Sea and Land Surface Temperature Radiometer (SLSTR) instruments, flown on board the Copernicus Sentinel-3A and B satellites. The data is provided as monthly 0.5 x 0.5 degree, longitude-latitude averages containing top-of-atmosphere outgoing longwave radiation and reflected solar radiation.\r\n\r\nThe data comes separately for each SLSTR instrument (v3.1.1 files) and as a combined SLSTR-A and SLSTR-B product (v4.0 files).\r\n\r\nThis dataset is a continuation of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci), produced from the Along Track Scanning Radiometer (ATSR) instruments, supplied to the Copernicus Climate Change Service (C3S). Full details of the dataset, include data-quality and validation information can be found via the C3S Climate Data Store (CDS)."
            },
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                "title": "Copernicus Climate Change Service: Brokered ESA Cloud CCI Earth Radiation Budget L3 data from the ATSR series, version 3.0",
                "abstract": "This record comprises 17 years (1995-2012) of global Earth radiation budget observations from the Along Track Scanning Radiometer (ATSR) series of instruments, flown on board the ESA Earth Observation satellites (ERS-2) and Envisat. The data is provided as monthly 0.5 x 0.5 degree, longitude-latitude averages containing top-of-atmosphere outgoing longwave radiation and reflected solar radiation.\r\n\r\nThis dataset is a re-gridded version of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci) produced to meet the requirements for distribution through the Copernicus Climate Change Service (C3S). Full details of the dataset, include data-quality and validation information can be found via the C3S Climate Data Store (CDS)."
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                "title": "Copernicus Climate Change Service: Surface Radiation Budget L3 data from the SLSTR series, versions 3.1",
                "abstract": "This record comprises 5.5 years (Jan 2017-Jun 2022) of global surface radiation budget observations from the Sea and Land Surface Temperature Radiometer (SLSTR) instruments, flown on board the Copernicus Sentinel-3A and B satellites. The data is provided as monthly 0.5 x 0.5 degree, longitude-latitude averages containing bottom-of-atmosphere incoming, reflected and net solar radiation, downwelling, outgoing and net longwave radiation and total net surface radiation, along with the spatio-temporal standard deviation of each parameter.\r\n\r\nThis dataset is a continuation of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci), produced from the Along Track Scanning Radiometer (ATSR) instruments, supplied to the Copernicus Climate Change Service (C3S). Full details of the dataset, include data-quality and validation information can be found via the C3S Climate Data Store (CDS)."
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            "dataPath": "/neodc/c3s_srb/data/L3C/slstra-slstrb/c3s/icdr/r02",
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            "fileFormat": "The data are in NetCDF format.",
            "storageStatus": "online",
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            "observation": {
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                "short_code": "ob",
                "title": "Copernicus Climate Change Service: Surface Radiation Budget L3 data from the SLSTR series, versions 3.1.1 and 4.0",
                "abstract": "This record comprises 5.5 years (Jan 2017-Jun 2022) of global surface radiation budget observations from the Sea and Land Surface Temperature Radiometer (SLSTR) instruments, flown on board the Copernicus Sentinel-3A and B satellites. The data is provided as monthly 0.5 x 0.5 degree, longitude-latitude averages containing bottom-of-atmosphere incoming, reflected and net solar radiation, downwelling, outgoing and net longwave radiation and total net surface radiation, along with the spatio-temporal standard deviation of each parameter.\r\n\r\nThe data comes separately for each SLSTR instrument (v3.1.1 files) and as a combined SLSTR-A and SLSTR-B product (v4.0 files).\r\n\r\nThis dataset is a continuation of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci), produced from the Along Track Scanning Radiometer (ATSR) instruments, supplied to the Copernicus Climate Change Service (C3S). Full details of the dataset, include data-quality and validation information can be found via the C3S Climate Data Store (CDS)."
            },
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            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/c3s_srb/data/L3C/atsr2-aatsr/esa_cci/tcdr/r01",
            "numberOfFiles": 207,
            "volume": 1185436792,
            "fileFormat": "The data are in NetCDF format.",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 45788,
                "uuid": "a09842321a4f41549df77d57a8f1786b",
                "short_code": "ob",
                "title": "Copernicus Climate Change Service: Brokered ESA Cloud CCI Surface Radiation Budget L3 data from the ATSR series, version 3.0",
                "abstract": "This record comprises 17 years (1995-2012) of global surface radiation budget observations from the Along Track Scanning Radiometer (ATSR) series of instruments, flown on board the ESA Earth Observation satellites (ERS-2) and Envisat. The data is provided as monthly 0.5 x 0.5 degree, longitude-latitude averages containing bottom-of-atmosphere incoming, reflected and net solar radiation, downwelling, outgoing and net longwave radiation and total net surface radiation, along with the spatio-temporal standard deviation of each parameter.\r\n\r\nThis dataset is a re-gridded version of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci) produced to meet the requirements for distribution through the Copernicus Climate Change Service (C3S). Full details of the dataset, include data-quality and validation information can be found via the C3S Climate Data Store (CDS)."
            },
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            "uuid": "8765edef6d924ef79e1db063b69fcd40",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/eucleia/data/EUCLEIA/output/MOHC/HadGEM3-A-N216/historicalNatExt/",
            "numberOfFiles": 1,
            "volume": 910,
            "fileFormat": "Data are NetCDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45721,
                "uuid": "ee703f391ead447e99cb4878ebcb5ebb",
                "short_code": "ob",
                "title": "EUCLEIA historical natural-only forcings experiment  (2016 – 2024), a numerical simulation data produced by the UK Met Office using HadGEM3-A.",
                "abstract": "The data provided here are the numerical simulation data for the historical natural-only forcings-only short experiment (2016 – 2024 inclusive) as a test case for the upgraded Met Office HadGEM3-A based operational event attribution system for EUCLEIA (European Climate and weather Events: Interpretation and Attribution).\r\n\r\nImprovements include higher horizontal and vertical resolution (N216 L85) and the latest dynamical core (ENDGame) and land surface model (JULES). External forcings are restricted to just historical natural variability of solar irradiance and volcanic aerosol optical depth.  SST and SIC lower boundary conditions are provided from the HadISST observational dataset minus an estimate of the anthropogenic contribution derived from CMIP5 coupled model simulations. The experiment comprises a 15 member stochastic physics ensemble using kinetic energy backscatter and randomly perturbed physics schemes. Ensemble members are initialised from dumps taken from 0000Z December 1st 2013 at the end of the corresponding multi-decadal validation experiment."
            },
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/eucleia/data/EUCLEIA/output/MOHC/HadGEM3-A-N216/historicalExt/",
            "numberOfFiles": 1,
            "volume": 896,
            "fileFormat": "Data are NetCDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45722,
                "uuid": "69c2751fde1e4c9288182f0a1cd19641",
                "short_code": "ob",
                "title": "EUCLEIA historical forcings experiment (2016 – 2024), a numerical simulation data produced by the UK Met Office using HadGEM3-A.",
                "abstract": "The data provided here are the numerical simulation data for the historical forcings-only short experiment (2016 – 2024 inclusive) as a test case for the upgraded Met Office HadGEM3-A based operational event attribution system for EUCLEIA (European Climate and weather Events: Interpretation and Attribution).\r\n\r\nImprovements include higher horizontal and vertical resolution (N216 L85) and the latest dynamical core (ENDGame) and land surface model (JULES). External forcings are historical natural variability of solar irradiance and volcanic aerosol optical depth as well as historical anthropogenic prescriptions of GHGs, ozone, aerosols and land use change.  SST and SIC lower boundary conditions are provided from the HadISST observational dataset. The experiment comprises a 15 member stochastic physics ensemble using kinetic energy backscatter and randomly perturbed physics schemes. Ensemble members are initialised from dumps taken from 0000Z December 1st 2013 at the end of the corresponding multi-decadal validation experiment."
            },
            "onlineresource_set": []
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        {
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            "uuid": "74f5692e4c7e44e3be2f659f5a7ff08d",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/gebco/global/gebco_2026",
            "numberOfFiles": 114,
            "volume": 114739966435,
            "fileFormat": ".asc; .prj; .tif; .xml; .zip; .nc; .pdf; .csv; .txt; .xlsx",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45809,
                "uuid": "fb236c93aa574cb9b5154db45dfdd784",
                "short_code": "ob",
                "title": "The GEBCO_2026 Grid - a continuous terrain model for oceans and land at 15 arc-second intervals",
                "abstract": "The GEBCO_2026 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions largely outside of the Arctic and Southern Ocean areas, the grid uses as a base Version 2.8 of the SRTM15_plus data set. This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2026 Grid represents all data within the 2026 compilation. The compilation of the GEBCO_2026 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a ‘remove-restore’ blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2026 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute (AWI), Germany; Pacific Ocean - hosted at Earth Sciences New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory (LDEO), Columbia University, USA; Arctic and North Pacific Oceans – jointly hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45812,
            "uuid": "ee48454104cb4e4f851d4c317547c650",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/operation-weather-rescue/data/OXFORD-RADCLIFFE-SCANS",
            "numberOfFiles": 33986,
            "volume": 1138952955650,
            "fileFormat": "JPEG, TIFF, PDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45811,
                "uuid": "bb481bfdf238490da5b30bf6be9581d2",
                "short_code": "ob",
                "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from Oxford's Radcliffe Observatory manuscript archives, 1760-1945",
                "abstract": "This dataset contains scanned copies of Oxford's Radcliffe Observatory manuscript archives, 1760-1945. The entire manuscript collection of meteorological observation registers and tabulated records from the former Radcliffe Observatory, a little over 32,000 pages in all, was commercially scanned in high resolution by Autodocs Ltd of Glasgow between January and March 2022. The project was funded by a NERC grant. Each page was scanned and the output stored in three formats, namely PDF, JPEG and TIFF, in increasing file size order. The TIFF files are highest resolution (600 dpi) and retain true document colours. JPEG files use lossy compression to reduce file size, but are otherwise identical for all practical purposes. The PDF files have had contrast and colour adjusted slightly to improve legibility, and file sizes are smaller. Page contents are identical regardless of file format.\r\n\r\nSeparate PDFs for e.g. daily sheets for one month's observations have been combined into a single file for ease of use and reference, while the TIFF and JPEGs remain one file per page.\r\n\r\nThe collection covers the following:\r\n- 1760-1805 MS observation notes by Thomas Hornsby\r\n- 1811-1820 Daily registers, mostly 3 obs/day. Note that the original logbook was missing when the scanning was undertaken, and these pages are JPEG and PDF files (no TIFFs available) from photographs taken by Tim Burt in 2017\r\n- 1820-1860 Daily (e.g. max, min, rainfall) and 3 obs/day data\r\n- 1855-1934 Sub-daily data in a variety of formats, including hourly transcriptions of many elements. A more detailed catalogue is available upon request providing more granular data by element and period\r\n- 1873-1935 Copies of climatological returns to the Met Office (incomplete series) - originals are in Met Office archives (and have since been scanned and made available online)\r\n- 1893-1945 Daily rainfall registers - two or more daily raingauges, with 00-00h totals as well as the standard 09-09h for some of this period.\r\n- 1952-1995 Various miscellaneous site and metadata information\r\n\r\nIn all, the TIFF collection amounts to 31,462 files and 0.98 TB: PDF 1983 files, 47.5 GB. JPEG files are not held on this disk, but are available on request, in original 'Volume number' and file name order. Both PDF and TIFF files have been re-sorted from the original volume/folio order into meaningful folder names, and the file names identify the content, such as 'Oxford_Daily_Data_1822.pdf' or '071_003_Oxford_Eye_Readings_1889-04-05.tiff'.\r\n\r\nWhere records relate to a month, the form yyyy-mm for year-month is used, months numbered 01-12. Additional numbers after the year such as -00 or -99 usually indicate front and back logbook covers, some of which contain handwritten notes on e.g. instrumental calibrations or adjustments.\r\n\r\nMore information on the Observatory records, including extensive metadata, is given in Oxford Weather and Climate since 1767 by Stephen Burt and Tim Burt, published by Oxford University Press in 2019, pp. 544. (see online resources for link).\r\n\r\nThe scanning was funded through support from the National Centre for Atmospheric Science (NCAS)."
            },
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        {
            "ob_id": 45815,
            "uuid": "62807cf8e46947a79df187591d906bfd",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/operation-weather-rescue/data/DEVON-EXETER-INSTITUTE",
            "numberOfFiles": 2043,
            "volume": 6829107628,
            "fileFormat": "JPEG",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45814,
                "uuid": "28bea4e8c23547a7a5b8df656c16e8d4",
                "short_code": "ob",
                "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Devon and Exeter Institute manuscript archives, 1817-1975",
                "abstract": "This dataset contains scanned copies of the meteorological record from the Devon and Exeter Institute manuscript archives, 1817-1975, taken by a number of observers over the years at the site of the Devon and Exeter Institution (DEI), Exeter, Devon.\r\n\r\nThe location in the manuscripts is noted as being: \r\n50° 45' (50.75°N), 3° 41'W (3.683333°W).\r\n\r\nHowever, that places the location some way to the west of Exeter, whist the recordings were believed to have been made at the DEI building in Exeter:\r\n\r\nOS Grid reference: SX 92157 92615\r\nEastings: 292157\r\nNorthings: 092615\r\nLatitude: 50.723121 N \r\nLongitude: -3.5291675 W\r\n\r\nThe images are stored in a series of folders with the naming convention as follows:\r\n\r\nDEI_MR_[start year]_[end year]\r\n\r\nWhere:\r\n\r\nDEI = Devon and Exeter Institute\r\nMR = Meteorological Record\r\n[start year] and [end year] elements are taken as the years covered by the volume. In some cases there is a mid-year break between which volumes records are stored. \r\n\r\nWithin the folders the files are given the name IMG_####.jpg. The first file shows an image of the spine of the volume from which the subsequent images of the pages are given.\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project."
            },
            "onlineresource_set": []
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        {
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            "uuid": "5cb9da7149814d01aaabadccf68d53b2",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/operation-weather-rescue/data/LEEDS-PHILOSOPHICAL-INSTITUTE",
            "numberOfFiles": 269,
            "volume": 335279640,
            "fileFormat": "JPEG",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45818,
                "uuid": "4454095caf3d42f5a7d92cb5b06f87e3",
                "short_code": "ob",
                "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Leeds Philosophical Society manuscript archives, 1823-1850",
                "abstract": "This dataset contains scanned copies of the meteorological record from the Leeds Philosophical Society manuscript archives, 1823-1835.\r\n\r\nThe records are stored in Bretherton Library, University of Leeds, with the following description from the library archive:\r\n\r\nContains handwritten records of thermometer and barometer readings, wind direction, weather and rainfall, with journal of observations taken daily from January 1823 to March 1835. Data for later dates inserted loose in the first volume, with rough notes and journals. Vol. 1 is preceded by the minutes of the first meeting of the Meteorological Committee, December 1821.\r\n\r\nBiography or history\r\n\r\nThe Leeds Philosophical and Literary Society was founded in 1819 and played an important role in further education, in both the sciences and the humanities, in Leeds throughout most of the 19th century. The changing patterns of higher education and other circumstances were causing the Society to reconsider the scope of its activities by the time of the First World War; after the War the Society transferred its museum to the City of Leeds and its library to the University, and concentrated its efforts on publishing the results of research, issuing since 1925 two series of 'Proceedings' ('Literary and Historical' and 'Scientific').\r\n\r\nImages also include monthly mean temperatures for the 1840s.\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45824,
            "uuid": "4b078f1f7e7c44b8b0631a5b592ce4f3",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/operation-weather-rescue/data/SCOTLAND/ABERDEEN_1829-1839/",
            "numberOfFiles": 4,
            "volume": 984513472,
            "fileFormat": "PDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45823,
                "uuid": "72934d7ff4e042ee840e55e90b3a6ea6",
                "short_code": "ob",
                "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Aberdeen Grammar School manuscript archives, 1829-1839",
                "abstract": "This dataset contains scanned copies of the meteorological record from the Aberdeedn Grammar School manuscript archives, 1829-1839.\r\n\r\nScanned by Aberdeen City Archives: REF ED/GR6S/A58/33\r\n\r\nMarch 1829 - December 1839\r\n\r\nNational Archives of Scotland reference MET1/4/19 (their version may extend to 1849).\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45825,
            "uuid": "bd4411d8298944a09b83fcaf95a7afb7",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/operation-weather-rescue/data/SCOTLAND/CARBETH_1817-1859/",
            "numberOfFiles": 287,
            "volume": 571735468,
            "fileFormat": "JPEG",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45822,
                "uuid": "6c20e3e7407d46e4b52af569d7ef11ff",
                "short_code": "ob",
                "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Carbeth manuscript archives, 1817-1859",
                "abstract": "This dataset contains scanned copies of the meteorological record from the Carbeth manuscript archives, 1817-1859.\r\n\r\nScanned by National Records of Scotland\r\n\r\nNational Records of Scotland reference MET1/4/16\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project.\r\n\r\nAdditionally, the manuscripts also hold some comparative monthly rain amounts from Glasgow, Bothwell and Greenock."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45826,
            "uuid": "7034d5d6875d4016a7a1afd060db0bd1",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/operation-weather-rescue/data/SCOTLAND/DOLLAR_1836-1856/",
            "numberOfFiles": 280,
            "volume": 770809913,
            "fileFormat": "JPEG",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45834,
                "uuid": "7ebba39e28004aa7b69d7ef71d949045",
                "short_code": "ob",
                "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Dollar Institute School manuscript archives, 1836-1856",
                "abstract": "This dataset contains scanned copies of the meteorological record from the Dollar Institute School  manuscript archives, 21 March 1836 to 20 March 1856.\r\n\r\nScanned by National Records of Scotland\r\n\r\nNational Records of Scotland reference MET1/4/11\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45827,
            "uuid": "adca8b2c018e476a8fec4de2120bf8c8",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/operation-weather-rescue/data/SCOTLAND/GLENDOICK_1831-1864/",
            "numberOfFiles": 410,
            "volume": 955299256,
            "fileFormat": "JPEG",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45838,
                "uuid": "46b77020c2594b649fcb2c9003f7180f",
                "short_code": "ob",
                "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Glendoick manuscript archives, 1831-1864",
                "abstract": "This dataset contains scanned copies of the meteorological record from the Glendoick (56.39N 3.29W), Perthshire, Scotland, manuscript archives, 1 January 1831 to 14 November 1864.\r\n\r\nScanned by National Records of Scotland\r\n\r\nNational Records of Scotland reference MET1/4/17\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45828,
            "uuid": "ac67d998dac044b39c84a5f17810af8f",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/operation-weather-rescue/data/SCOTLAND/INVERNESS_1838-1843/",
            "numberOfFiles": 569,
            "volume": 682682049,
            "fileFormat": "JPEG",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45837,
                "uuid": "fe7bff4479fb4a2eaba0c54af722db60",
                "short_code": "ob",
                "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Inverness manuscript archives, 1838-1843",
                "abstract": "This dataset contains scanned copies of the meteorological record from the Inverness manuscript archives, 1838-1843.\r\n\r\nScanned by National Records of Scotland\r\n\r\nNational Records of Scotland reference MET1/4/27\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45829,
            "uuid": "2d8d51262e5846afa78a056da5b9fc30",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/operation-weather-rescue/data/SCOTLAND/KIRKCALDY_1819-1841/",
            "numberOfFiles": 243,
            "volume": 647214017,
            "fileFormat": "JPEG",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45843,
                "uuid": "daefeb0ff91145f9ad36678e82a68cd0",
                "short_code": "ob",
                "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Kirkcaldy manuscript archives, 1819-1841",
                "abstract": "This dataset contains scanned copies of the meteorological record from the Kirkcaldy manuscript archives, 1st January 1819 to 3rd April 1841. The record contains temperature and pressure readings taken at various times of the day.\r\n\r\nScanned by National Records of Scotland\r\n\r\nNational Records of Scotland reference MET1/4/32\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45854,
            "uuid": "2d440eebaa384e0ba66f85b9dccccbea",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/deposited2026/WACCM-RR_model_Kupilas/",
            "numberOfFiles": 10396,
            "volume": 9254759537878,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45849,
                "uuid": "04d7581f7c024e669bea5624993f8a95",
                "short_code": "ob",
                "title": "Whole Atmosphere Community Climate Model (WACCM) and WACCM-RR simulations for 2010",
                "abstract": "The dataset was produced from two numerical simulations for the year 2010 using the Whole Atmosphere Community Climate Model with Regional Refinement (WACCM-RR). The standard configuration (Non-RR) uses a global horizontal resolution of approximately 1° (~111 km), while the refined configuration (RR) employs a nested grid of ~1/8° (~14 km) over the contiguous United States (CONUS) with 1° resolution elsewhere. The higher-resolution RR simulation directly resolves more gravity waves. Model outputs were post-processed to analyse differences in atmospheric composition and dynamics, including temperature, atomic oxygen (O), nitric oxide (NO), carbon monoxide (CO), carbon dioxide (CO2), and ozone (O3), as well as vertical fluxes. The workflow includes model configuration, execution, data extraction, and analysis.\r\n\r\nThis dataset has been generated using the cam6_2_011 development tag of the NSF National Center for Atmospheric Research (NCAR) Community Earth System Model (CESM)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45857,
            "uuid": "4824f063ba8b4139b8ee0f3fd7f80d96",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/deposited2026/wiggy_test/",
            "numberOfFiles": 2,
            "volume": 3601,
            "fileFormat": "Contact support@ceda.ac.uk for file format information.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45298,
                "uuid": "44bfc08cb3564c91bc1c23efc767c644",
                "short_code": "ob",
                "title": "TestingWendy123",
                "abstract": "this is a test of the arrivals ingest route. Can be deleted once it is working"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45872,
            "uuid": "fbb1e31b6ff74131af8921e3e866e079",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/deposits03/soc260087",
            "numberOfFiles": 47,
            "volume": 38478410627,
            "fileFormat": ".xyz; .asc; .prj; .tiff; .csv; .xlsx",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45873,
                "uuid": "b561993597ad46f58c26cf58693b909d",
                "short_code": "ob",
                "title": "Processed Autonomous Underwater Vehicle (AUV) multibeam bathymetry and backscatter data collected during RRS James Cook cruise JC257 in the UK-1 exploration area, Clarion-Clipperton Zone, Pacific Ocean, 2024",
                "abstract": "Multibeam Echosounder (MBES) bathymetry and backscatter data were acquired in the UK-1 exploration area of the Clarion-Clipperton Zone (CCZ), Pacific Ocean, using the Autonomous Underwater Vehicle (AUV) Autosub5-mounted Norbit WBMS-bathy MBES during RRS James Cook Cruise JC257 between 16/02/2024 and 09/03/2024. These datasets were collected to investigate local-scale seafloor morphology and to improve understanding of biodiversity patterns and benthic habitat distribution within the CCZ, by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX). The AUV was used to map in high resolution the 0, 1, 16, 30 and 100 km sites. Bathymetric data were processed using Quality Positioning Services (QPS) Qimera 2.7.6, while backscatter data were subsequently processed using QPS FMGT 7.11.2. Tidal corrections were derived at the Long Mooring 1 site using the TMD toolbox, based on the TPXO global tidal inversion model developed at Oregon State University (OSU), and applied to the dataset. CTD-derived sound velocity profiles (SVPs) were then used to further refine the acoustic corrections. Semi-automatic and manual cleaning procedures were carried out to remove erroneous soundings, particularly along the outer swath edges. The 0–1 km site was surveyed during missions AS5M084 and AS5M085; the latter was spatially adjusted through the identification of common seafloor features. Sites at 16 and 30 km were surveyed during mission AS5M089. The 100 km site was mapped during missions AS5M093, AS5M094, and AS5M096, with AS5M093 used as a spatial reference to align the subsequent surveys based on shared geomorphological features. For each site, bathymetric grids were generated at 1, 2, and 5 m resolution, in WGS84 UTM Zone 11N projection, with interpolation applied where necessary to fill gaps between survey lines. Processed .gsf files were then exported to QPS FMGT to produce backscatter mosaics at 0.20 m resolution. Both backscatter and bathymetry data are supplied in .xyz format. Additionally, bathymetry are supplied in ESRI ASCII Raster format, and backscatter as GeoTIFF files."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45874,
            "uuid": "b88be2bb8ea74656b71a80bde071bf9d",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/deposited2026/Congo_peatland_water_levels/",
            "numberOfFiles": 9,
            "volume": 12149406037,
            "fileFormat": "Contact support@ceda.ac.uk for file format information.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45675,
                "uuid": "74186901e2fa445cafca72141f3630f1",
                "short_code": "ob",
                "title": "Estimated monthly water levels across a subset region of the Congo Basin peatlands (2019 to 2020)",
                "abstract": "These data include estimates of the monthly water levels across a subset region of the Congo Basin peatland complex for the period March 2019 to October 2020. \r\n\r\nFilenames beginning with 'WL_monthly' contain the monthly minimum, maximum, mean, and standard deviation of the estimated daily water levels for a subset of the Cuvette Centrale region in the Central Congo Basin.\r\n\r\nFilenames beginning with just 'WL_' contain the minimum, maximum, mean, and standard deviation of the estimated daily water levels over the 20-month study period, March 2019 to October 2020.\r\n\r\nDetails of the method used to produce these data are included in the article: Georgiou, S.; Mitchard, E.T.A.; Crezee, B.; Dargie, G.C.; Young, D.M.; Jovani-Sancho, A.J.; Kitambo, B.; Papa, F.; Bocko, Y.E.; Bola, P.; et al. Mapping Water Levels across a Region of the Cuvette Centrale Peatland Complex. Remote Sens. 2023, 15, 3099. https://doi.org/10.3390/rs15123099.\r\n\r\nThese data were produced for the Natural Environment Research Council (NERC) project CongoPeat: Past, Present and Future of the Peatlands of the Central Congo Basin (grant reference: NE/R016860/1)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45878,
            "uuid": "682bde57614d44a2ae912d5b1f4fa4e6",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/biomass/data/agb/maps/v7.0",
            "numberOfFiles": 11417,
            "volume": 816275648367,
            "fileFormat": "geotiff and netcdf",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 45747,
                "uuid": "6429d1aafe1e43b9b414e4a5a7f8b903",
                "short_code": "ob",
                "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2005-2012 and 2015-2024, v7.0",
                "abstract": "This dataset comprises estimates of forest above-ground biomass (AGB) for the years between 2005 and 2012 and between 2015 and 2024. Examples of AGB change maps have been created for consecutive years (2020-2019) and for a decadal interval (2020-2010). Additionally provided in this version release are aggregated data products. These aggregated products of the AGB and AGB change data layers are available at coarser resolutions (1, 10, 25 and 50km).\r\n\r\nA Python tool is newly provided to compute AGB change maps for any pair of AGB maps. \r\n\r\nThe AGB maps are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR (Advanced Synthetic Aperture Radar) instrument and JAXA’s (Japan Aerospace Exploration Agency) Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources, e.g., extended ICESat-2 observations to calibrate retrieval models. A cost function that preserves the temporal features as expressed in the remote sensing data is applied to limit biases between the 2005-2012 and the 2015-2024 AGB maps.\r\n\r\nThe AGB data products consist of two (2) global layers that include estimates of:\r\n1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots per unit area\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)\r\n\r\nAn AGB change product consists of three sets of maps: the AGB change defined as the difference between two AGB maps, the standard deviation of the AGB change and a quality flag of the AGB change.\r\n\r\nData are provided in both netcdf and geotiff format.\r\n\r\nThis release of the data is version 7. Compared to version 6, version 7 consists of an update of the maps of AGB for the years 2007, 2010, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and new AGB maps for 2005, 2006, 2008, 2009, 2011, 2012, 2023 and 2024. \r\n\r\nThe data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 45888,
            "uuid": "859cd772c60a43f0bd5f25162a1b51f0",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/eocis/data/CHUK/aerosol_optical_depth/SLSTR/L3C/daily/v1.14",
            "numberOfFiles": 5588,
            "volume": 89723789776,
            "fileFormat": "The data are in NetCDF format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43476,
                "uuid": "ccf69c5ea5184721906eb312d37d0673",
                "short_code": "ob",
                "title": "EOCIS: CHUK Aerosol Optical Depth, Daily L3C Product, v1.14",
                "abstract": "This dataset contains Climate High resolution UK (CHUK) Aerosol Optical Depth data produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nThese data are derived from Swansea University Global Aerosol retrievals (v1.14) for the Sea and Land Surface Temperature Radiometers (SLSTR) on the Sentinel-3A and Sentinel-3B satellites (https://catalogue.ceda.ac.uk/uuid/17d83baf50a644d89a4fb78ca6cccec1/) Original level 2 retrievals in the UK region have been re-projected from the instrument swath onto the Climate High-resolution grid for the UK at 100m resolution and composited on a daily timescale. They contain the aerosol optical depth and the fine-mode aerosol optical depth at 550nm. Two versions of each variable are included: with and without the post-processing filtering that is used in the global dataset."
            },
            "onlineresource_set": []
        }
    ]
}