Get a list of Observation objects.

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            "uuid": "4761751d7c844e228ec2f5fe11b2e3b0",
            "title": "ESA Land Cover Climate Change Initiative (Land_Cover_cci):  Global Land Cover Maps, Version 1.6.1",
            "abstract": "As part of the ESA Land Cover Climate Change Initiative (CCI) project a set of Global Land Cover Maps have been produced.  These are available at 300m spatial resolution for three epochs centred on the year 2010 (2008-2012), 2005 (2003-2007) and 2000 (1998-2002), where each epoch covers a 5-year period.\r\n\r\nEach pixel value corresponds to the label of a land cover class defined using UN-LCCS classifiers.  For each epoch, the land cover map is delivered along with 4 quality flags which document the reliability of the classification.  These are described further in the Product User Guides.\r\n\r\nFurther Land Cover CCI products, user tools and a product viewer are available at: http://maps.elie.ucl.ac.be/CCI/viewer/index.php",
            "creationDate": "2022-07-22T09:15:57.183554",
            "lastUpdatedDate": "2022-07-22T09:15:57.272326",
            "latestDataUpdateTime": "2024-09-11T13:14:34",
            "updateFrequency": "",
            "dataLineage": "Data were processed by the ESA CCI Land Cover project and supplied to CEDA in the context of the ESA CCI Open Data Portal Project",
            "removedDataReason": "",
            "keywords": "Land Cover, CCI",
            "publicationState": "published",
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                "fileFormat": "Data are available in NetCDF and GeoTiff format"
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                    "uuid": "40e37317e38d4264ae57ecb515b781fa",
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                    "title": "ESA Land Cover Climate Change Initiative Project",
                    "abstract": "The ESA Land Cover Climate Change Initiative Project is part of the European Space Agency's Climate Change Initiative to produce long term datasets of Essential Climate Variables (ECV's) from historic satellite data.\r\n\r\nLand cover is defined as the (bio) physical cover at the earth surface including grass, trees, bare ground and water. Land cover is fundamental to better understand the climate through the estimation and validation of fluxes of water, carbon, and energy.  It plays a role in adaptation and mitigation assessments at various scales.\r\n\r\nThe  projects objective is to critically revisit all algorithms required for the generation of global land product in the light of GCOS requirements, and to design and demonstrate a mature system delivering in a consistent way over years and from multi-mission Earth Observation instruments, the longest possible global land cover map series at 300m, matching the needs of key users belonging to the climate change and land cover communities. The focus is placed on ESA and Member States missions, providing near daily global surface reflectance observation at moderate spatial resolution from 1999 onwards (MERIS Full Resolution (FR) & Reduced Resolution (RR), SPOT VEGETATION, PROBA-V and ASAR data), while the contribution of the AVHRR sensor tackles specific past years back to 1992."
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                    "resolvedTerm": "Medium-Spectral Resolution, Imaging Spectrometer"
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                    "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_landCov",
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                    "uuid": "c19b0914521144ab8c18c91d586c6847",
                    "short_code": "coll",
                    "title": "ESA Land Cover Climate Change Initiative (Land Cover CCI) Dataset Collection",
                    "abstract": "The Land Cover CCI has generated a number of data products as part of its Climate Data Research Package.  These consist of: \r\n\r\n- A new time series of consistent global LC maps at 300 m spatial resolution on an annual basis from 1992 to 2015;\r\n- 1 user tool for sub-setting, re-projecting and re-sampling the products in a way which is suitable to each climate model.\r\n- The full archive of AVHRR HRPT 1 km surface reflectance 7-day composites from 1992 to 1999;\r\n- The full archive of MERIS surface reflectance 7-day composites from 2003 to 2011 (300 m and 1 km resolution);\r\n- A PROBA-V 1 km time series of surface reflectance 7-day composites from mid March 2014 to end 2015;\r\n- 1 static map of open water bodies including ENVISAT ASAR data;\r\n-  3 global land surface seasonality products characterizing the vegetation greenness, the snow and the burned areas dynamics.\r\n\r\nIn the context of the CCI Open Data portal, a subset of these data products are held within the CEDA archive.   \r\n\r\nThe complete set of data products are available from the CCI Landcover team via their portal at: http://maps.elie.ucl.ac.be/CCI/viewer/"
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            "uuid": "bfed8e67ce854d6297b579a213f8588f",
            "title": "Armagh Observatory: Monthly Automatic Weather Station measurements 2004 to present",
            "abstract": "Atmospheric temperature observations from the Armagh Observatory, founded in 1790 by Archbishop Richard Robinson. As well as astronomical observations various meteorological parameters have been recorded since 1794. If users wish to find data from other areas of work undertaken by the observatory they should visit the Armagh Observatory website.\r\n\r\nThis dataset contains monthly measurements and summaries of air temperature, air pressure, rainfall, wind speed, wind direction, total cloud and hours of sunshine from an automatic weather station.",
            "creationDate": "2022-07-22T09:15:57.183554",
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            "updateFrequency": "monthly",
            "dataLineage": "Data are collected at the Armagh Observatory and obtained by the Centre of Environmental Data Analysis (CEDA) for use by the research community.",
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            "keywords": "Armagh, Air temperature, rainfall, pressure, cloud, sunshine, wind",
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                "startTime": "2004-01-01T00:00:00",
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            "resultQuality": {
                "ob_id": 547,
                "explanation": "Some instruments undergo calibration see Armagh Observatory website for further details: http://climate.arm.ac.uk/aws2/aws2.html",
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                "resultTitle": "CEDA Data Quality Statement",
                "date": "2014-02-07"
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                "title": "Acquisition Process for: Data from Armagh Automatic Weather Station (AWS) at Armagh Observatory, Northern Ireland, UK for the Armagh Observatory, UK Collection",
                "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Armagh Automatic Weather Station (AWS); PLATFORMS: Armagh Observatory, Northern Ireland, UK; "
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                    "title": "Armagh Observatory, UK",
                    "abstract": "The Armagh Observatory is a modern astronomical research institute with a rich heritage. Founded in 1790 by Archbishop Richard Robinson, the Observatory is one of the UK and Ireland's leading scientific research establishments. Around 25 astronomers are actively studying Stellar Astrophysics, the Sun, Solar System astronomy, and the Earth's climate."
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                    "uuid": "2bca5457886c9352197c0fe9b7122418",
                    "short_code": "coll",
                    "title": "The Armagh Observatory Climate Observation Data (1796-present)",
                    "abstract": "Data from the Armagh Observatory, founded in 1790 by Archbishop Richard Robinson. There are around 25 astronomers who are actively studying Stellar Astrophysics, the Sun, Solar System astronomy, and the Earth's climate. As well as astronomical observations various meteorological parameters have been recorded since 1794. The data held at the BADC are daily, mean monthly and seasonal and annual maximum and minimum temperatures from 1844, the 1m and 30 cm depth soil temperatures since 1904, precipitation since 1838 and sunshine daily and mean data produced by Armagh Observatory. If users wish to find data from other areas of work undertaken by the observatory they should visit the Armagh Observatory website. "
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            "title": "UTLS-Ozone ERA40 Validation: Comparisons of Water Vapour values from satellites, aircraft and the ERA-40 model output",
            "abstract": "Evaluation of the Ozone and Water Vapour Datasets of the 40-Year European Re-analysis of the Global Atmosphere Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Prof. A. O Neill, Dr W. Lahoz and Prof. B. Hoskins, Centre for Global Atmospheric Modelling, Department of Meteorology, University of Reading. \r\n\r\nThis dataset contains comparisons between the ERA40 water vapour field output and measurements from the MOZAIC research aircraft instrumentation and the Halogen Occultation Experiment (HALOE) and Microwave Limb Sounder (MLS) instruments on board the Upper Air Research Satellite (UARS).",
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                "title": "Composite process for: Ozone and water measurements onboard MOZAIC aircraft for the UTLS-Ozone ERA40 Validation campaign (1994-1999)",
                "abstract": "Composite process for: Ozone and water measurements onboard MOZAIC aircraft for the UTLS-Ozone ERA40 Validation campaign (1994-1999) created through merger of other records"
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                    "title": "UTLS-Ozone ERA40: Evaluation of the ozone and water vapour datasets of the 40 year European re-analysis of the global atmosphere",
                    "abstract": "Evaluation of the Ozone and Water Vapour Datasets of the 40-Year European Re-analysis of the Global Atmosphere Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Prof. A. O Neill, Dr W. Lahoz and Prof. B. Hoskins, Centre for Global Atmospheric Modelling, Department of Meteorology, University of Reading.\r\n\r\nRe-analyses datasets, such as the 40-year re-analysis dataset has been produced by the European Centre for Medium Range Weather Forecasts (ERA-40). This has provided an invaluable tool for a wide range of modelling, theoretical and observational studies of the atmosphere, including the UTLS region. This is because they have the advantage of being global, self-consistent and relatively long-term. It was vital that the ERA-40 dataset was carefully evaluated before, for example, projects studying the UTLS region draw conclusions based on its use. To this end, this project an evaluation of ozone and water vapour fields (important for climate, radiation and dynamics) in the UTLS region using mainly independent satellite data from the Upper Atmosphere Research Satellite (UARS), and aircraft data from the Measurements of Ozone by Airbus In Service Aircraft (MOZAIC) programme, and measurements from fields campaigns (e.g. the European Arctic Stratospheric Experiment (EASOE), and the Second European Stratospheric Arctic and Mid-latitude Experiment (SESAME).\r\n\r\nObjectives\r\n\r\nTo evaluate the ozone and water vapour datasets in ERA-40, including the identification of shortcomings and suggestions for improvements.\r\nTo gain intimate knowledge of the data quality and shortcomings of ERA-40 datasets other than ozone and water vapour, via membership of the ERA-40 data evaluation team.\r\nTo provide users with quality-controlled, three dimensional ozone and water vapour datasets from the ERA-40 analyses, together with error statistics on the reliability of the fields.\r\nTo provide support for measurement campaigns associated with the study of chemistry/ climate interactions.\r\nTo provide support to the scientific community in the form of climatologies for studies of atmospheric variability and predictability.\r\nTo provide interdisciplinary training in data evaluation and analysis techniques, earth observation sciences and atmospheric modelling."
                }
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                    "uuid": "b6700d9d2b1896437635dc8d4e13f934",
                    "short_code": "coll",
                    "title": "UTLS-Ozone ERA40 Validation: Comparisons of Ozone and Water Vapour values from satellites, aircraft and the ERA-40 model output",
                    "abstract": "Evaluation of the Ozone and Water Vapour Datasets of the 40-Year European Re-analysis of the Global Atmosphere Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Prof. A. O Neill, Dr W. Lahoz and Prof. B. Hoskins, Centre for Global Atmospheric Modelling, Department of Meteorology, University of Reading.\r\n\r\nRe-analyses datasets, such as the 40-year re-analysis dataset (ERA-40), have been produced by the European Centre for Medium Range Weather Forecasts. This has provided an invaluable tool for a wide range of modelling, theoretical and observational studies of the atmosphere, including the UTLS region. This was because they have the advantage of being global, self-consistent and relatively long-term. It was vital that the ERA-40 dataset was carefully evaluated before projects studying the UTLS region, for example, draw conclusions based on its use. \r\n\r\nThis project undertook an evaluation of the ERA-40 dataset by comparing ozone and water vapour fields (important for climate, radiation and dynamics) in the UTLS region using independent satellite data from the Upper Atmosphere Research Satellite (UARS), aircraft data from the Measurements of Ozone by Airbus In Service Aircraft (MOZAIC) programme, measurements from fields campaigns (e.g. the European Arctic Stratospheric Experiment (EASOE), and the Second European Stratospheric Arctic and Mid-latitude Experiment (SESAME).\r\n\r\nThe objectives of the UTLS-Ozone ERA40 Validation project were:\r\n\r\nTo evaluate the ozone and water vapour datasets in ERA-40, including the identification of shortcomings and suggestions for improvements.\r\nTo gain intimate knowledge of the data quality and shortcomings of ERA-40 datasets other than ozone and water vapour, via membership of the ERA-40 data evaluation team.\r\nTo provide users with quality-controlled, three dimensional ozone and water vapour datasets from the ERA-40 analyses, together with error statistics on the reliability of the fields.\r\nTo provide support for measurement campaigns associated with the study of chemistry/ climate interactions.\r\nTo provide support to the scientific community in the form of climatologies for studies of atmospheric variability and predictability.\r\nTo provide interdisciplinary training in data evaluation and analysis techniques, earth observation sciences and atmospheric modelling."
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                    "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)."
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                    "title": "Met Office Hadley Centre Regional Climate Model (HadRM3-PPE) Data",
                    "abstract": "The HadRM3-PPE-UK experiment was designed to simulate the regional climate for the UK in the period 1950-2100 for historical and medium (SRESA1B) emissions scenario. The model was run for the wider European area and the UK data extracted from it. It was a key dataset used in the generation of the UK-Climate Projections project (UKCP). It consists of an 11-member ensemble, each member driven by the same historical and SRESA1B emissions, with one unperturbed member and 10 members with different perturbations to the atmospheric parametrisations. The standard forcings include historical levels of greenhouse gases (including methane), sulphur (direct and first indirect forcing, sulphur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone.\r\n\r\nThis dataset collection contains output from an ensemble of various variants of the MOHC Regional Climate Model (HadRM3), run from 1950-2099 and used to dynamically downscale global climate model (GCM) results as part of the climate change experiments carried out by the Met Office Hadley Centre for the latest UK Climate Projections report. For these Regional Climate Model (RCM) experiments, transient projections from 11 Medium emissions (SRESA1B) scenario GCM experiments for 1950-2099 were used as boundary conditions.\r\n\r\nThe RCM used contains the same representations of atmospheric dynamical and physical processes as in a global model. It is run at a higher horizontal resolution (25km) but over a sub-global domain (typically 5000km square), and is driven at the boundary of the domain by time series of variables (such as temperature and winds) saved from a GCM projection. Sea surface temperatures and sea-ice extents are also prescribed from the GCM, since HadRM3 (like most RCMs) does not include an interactive ocean component. The purpose of RCMs is to provide a high resolution climate projection consistent with its driving GCM projection at spatial scales skilfully resolved by the latter, but adding realistic detail at finer scales. This is the \"downscaling\" process referred to above."
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                    "title": "National Centre for Earth Observation (NCEO) partnered datasets",
                    "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)."
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            "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and Climate Research Data Package Number 2 (CRDP#3), the XCO2 GOSAT product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). In this case, the RemoTeC Full Physics (SRFP) algorithm, jointly developed at SRON and KIT, has been applied to the TANSO-FTS data. A second product, generated using the OCFP (University of Leicester Full Physics) algorithm, is also available.\r\n\r\nThe data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. The product file contains the key standard products, i.e. the retrieved column averaged dry air mixing ratio XCO2 with bias correction, averaging kernels and quality flags, as well as secondary products specific for the RemoTeC algorithm. For further information, including details of the SRFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Document in the documentation section.\r\n\r\nThe GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link: http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/CRDP_REG/",
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                    "title": "National Centre for Earth Observation (NCEO) partnered datasets",
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            "dataLineage": "Data obtained by satellite from March 2005, prepared by the Met Office and stored in the BADC archive.",
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            "keywords": "MSG, visible, Satellites, Tropics",
            "publicationState": "published",
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            "language": "English",
            "resolution": "",
            "status": "completed",
            "dataPublishedTime": "2007-02-20T12:00:11",
            "doiPublishedTime": null,
            "removedDataTime": null,
            "geographicExtent": {
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                "bboxName": "XT MSG Mercator (MSG area)",
                "eastBoundLongitude": 75.0,
                "westBoundLongitude": -75.0,
                "southBoundLatitude": -59.771,
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            "verticalExtent": null,
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                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 29617270979,
                "numberOfFiles": 23513,
                "fileFormat": "Images are PNG formatted"
            },
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                "startTime": "2005-12-11T00:00:00",
                "endTime": "2008-04-09T22:59:59"
            },
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                "passesTest": true,
                "resultTitle": "CEDA Data Quality Statement",
                "date": "2014-06-04"
            },
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                "uuid": "a492fb9282934d5688f7159ca089f9a5",
                "short_code": "cmppr",
                "title": "MSG visible imagery",
                "abstract": "MSG visible imagery"
            },
            "imageDetails": [
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            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1138,
                    "name": "NDGO0003"
                }
            ],
            "permissions": [
                {
                    "ob_id": 2545,
                    "accessConstraints": null,
                    "accessCategory": "restricted",
                    "accessRoles": "msg",
                    "label": "restricted: msg group",
                    "licence": {
                        "ob_id": 22,
                        "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/msg.pdf",
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                    "uuid": "1b489cdd8b3ce6b4cd79fd3080a621f4",
                    "short_code": "proj",
                    "title": "Meteosat Second Generation (MSG)",
                    "abstract": "Meteosat Second Generation is operated by EUMETSAT and provides almost continuous images to meteorologists and researchers in Europe and around the world. It incorporates significant enhancements in frequency and resolution to the previous generation of Meteosat. MSG measures in 12 spectral channels (compared to only 3 on the previous Meteosat) and records data in a 15 minute cycle (30 minutes on the previous Meteosat). The resolution of the high-resolution visible light channel measures 1 km at the sub-satellite point (compared to 2.5 km on the previous Meteosat).\r\n\r\nThe first Meteosat Second Generation satellite, MSG-1, came into operational service on 29th January 2004 and was renamed Meteosat-8. MSG-1 has a nominal lifetime of seven years. MSG-2 was launched on 21st December 2005 and future MSG units are planned.\r\n\r\nThe MSG payload also contains the Geostationary Earth Radiation Budget (GERB) instrument which provides important data for climate research. Data from the GERB instrument is now available at the BADC.\r\n\r\nA humanitarian Search and Rescue transponder that relays distress signals from ships, aircraft and others in need of rescue is also mounted on the MSG platform."
                }
            ],
            "inspireTheme": [],
            "topicCategory": [],
            "phenomena": [
                25943
            ],
            "vocabularyKeywords": [],
            "identifier_set": [],
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                {
                    "ob_id": 2645,
                    "uuid": "5fa2529b973e47ae38ab3557f2018ef4",
                    "short_code": "coll",
                    "title": "Meteosat Second Generation (MSG) Geostationnary Satellites: Visible, Infra-Red and Water Vapour Images and Derived Data Products over the world",
                    "abstract": "Meteosat Second Generation is operated by EUMETSAT and provides almost continuous images to meteorologists and researchers in Europe and around the world. It incorporates significant enhancements in frequency and resolution to the previous generation of Meteosat. MSG measures in 12 spectral channels (compared to only 3 on the previous Meteosat) and records data in a 15 minute cycle (30 minutes on the previous Meteosat). The resolution of the high-resolution visible light channel measures 1 km at the sub-satellite point (compared to 2.5 km on the previous Meteosat).\r\n\r\nThis dataset collection includes visible, infra-red, water vapour, High Resolution Visible (HRV) images and the derived cloud top height, cloud top temperature, fog, snow detection, and volcanic ash products. These images are available for a range of geographical areas. Images are available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.\r\n\r\nThe different geographic extents for images within this dataset collection are available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa)."
                }
            ],
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