Observation List

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            "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, and SF6 measurements from Ridge Hill Tall Tower, Herefordshire",
            "abstract": "High frequency measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O) and sulfur hexafluoride (SF6) have been taken at Ridge Hill tall tower as part of the UK DECC (Deriving Emissions linked to Climate Change) Network. \r\n\r\nRidge Hill (RGL) is a rural UK site located 13 km south-east of Hereford (population ~55,000), and 30 km south-west of Worcester (population ~94,000), in Herefordshire, UK.  Measurements of SF6 and N2O have been taken using gas chromatography with an electron capture detector (GC-ECD), sampling from a height of 90 m above ground level. Measurements are also taken from inlet heights of 45 m and 90 m above ground level using laser-based techniques for CO2 and CH4. Due to the location of the site, far from strong sources of local pollution, measurements from this site are used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Bilsdale, Tacolneston and Heathfield) and Ireland (Mace Head).\r\n\r\nThis work was funded by  Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018  to the University of Bristol.",
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                    "abstract": "This dataset collection consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN1028/06/2015, TRN1537/06/2018, TRN5488/11/2021 and prj_1604) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. \r\n\r\nThe core DECC network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases. The four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet within 10 metres of ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. Data from the UK DECC network are used to assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks."
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            "abstract": "High frequency measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur hexafluoride (SF6) and carbon monoxide (CO) made at  Bilsdale Tall Tower, North York Moors National Park were made for the UK-DECC (Deriving Emissions related to Climate Change) Network. \r\n\r\nBilsdale (BSD) tall tower is in a remote area of the North York Moors National Park and is the first monitoring site in the northeast region of England. The closest large conurbations are York and Middlesbrough, located 30 miles south and 16 miles northeast, respectively. The tower is on a high plateau overlooking green valleys used mainly for livestock (sheep and cattle). Between 2014-01-01 and 2017-03-17, air samples are taken from a line sampling 108 m above ground level. From 2017-03-17 onwards, air was sampled from 248 m above ground level. Due to the sites location, far from strong sources of local pollution, measurements from this site will be used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Ridge Hill, Tacolneston and Heathfield) and Ireland (Mace Head).\r\n\r\n\r\nThis work was funded by  Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018 to the University of Bristol.",
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            "title": "ECMWF ERA5: surface level analysis parameter data",
            "abstract": "This dataset contains ERA5 surface level analysis parameter data. ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel level analysis and surface forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details.",
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                    "title": "European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis 5 (ERA5) model data",
                    "abstract": "ERA5 is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to present. This follows on from the ERA-15, ERA-40 and ERA-Interim re-analysis projects. This dataset collection includes data on surface and model levels on a regular latitude-longitude grid in netCDF from :\r\n - a high resolution 'HRES' (31 km horizontal, 137 model level, hourly output) reanalysis model \r\n - a reduced resolution ten member member ensemble runs, including data from all 10 members as well as means and spreads - produced to provide an uncertainty estimate for the 'HRES' output.\r\n - initial release 'ERA5t' data\r\n - re-run model output for 2000-2006 to address issues for this period  - ERA5.1\r\n\r\nNote, the parameter selection for the data held in the CEDA archive is not the full range of available parameters. Users requiring other parameters or data on alternative level types should seek these products via the Copernicus Data Store (CDS) - see linked data tool resource.\r\n\r\nFor further details of the datasets and CEDA's holdings please see the individual datasets linked to on this dataset collection record."
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                    "abstract": "The Met Office is the UK national meteorological service and one of the world's leading providers of environmental and weather-related services. Their solutions and services meet the needs of many communities of interest, from the general public, government and schools, through broadcasters and online media, to civil aviation and almost every other industry sector - in the UK and around the world. The Met Office headquarters are located in Exeter, UK. The Met Office makes a number of datasets available to the academic research community under the NERC - Met Office agreement. For further details of these datasets see the links to this record."
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            "title": "CMIP6 HighResMIP: Tropical storm tracks as calculated by the TempestExtremes algorithm",
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                    "title": "CMIP6 HighResMIP Storm tracking from model simulations",
                    "abstract": "The Coupled Model Intercomparison Project Phase 6 (CMIP6) HighResMIP model simulation output was obtained from the Earth System Grid Federation (ESGF). Six hourly data is used in conjunction with several storm-tracking algorithms to produce datasets of storm tracks in a Climate Model Output Rewriter (CMOR)-like NetCDF format. Tropical and extra-tropical cyclones have been calculated and are found in separate data collections."
                },
                {
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                    "title": "PRIMAVERA",
                    "abstract": "PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment - PRIMAVERA Project is a European Union Horizon2020 project (grant agreement number 641727) that ran from 2015 to 2020.\n\nThe PRIMAVERA archive is managed via the Earth System Grid Federation (ESGF), a globally distributed archive, with various portals delivering advanced faceted search capabilities provided from a number of participating organisations. Full details are available from the PRIMAVERA pages (see linked documentation on this record).\n\nCEDA provides access to most PRIMAVERA simulations. Additional ensemble members for some models are available on the ESGF. PRIMAVERA contributed to the WCRP CMIP HighResMIP MIP and additional HighResMIP data is available on the ESGF and some data sets are provided to aid local access and use."
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                    "abstract": "This collection of datasets hold the tropical storm tracks derived from the Coupled Model Intercomparison Project Phase 6 (CMIP6) HighResMIP model simulations obtained from the Earth System Grid Federation (ESGF). Different storm tracking algorithms are used to identify the storm tracks including TRACK (Hodges, K., et. al., 2017) and TempestExtremes (Ullrich and Zarzycki,  2017; Zarzycki and Ullrich, 2017)."
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            "title": "Sentinel 1 Analysis-Ready Data for the Committee on Earth Observation Satellites (ARD4CEOS) over Plymouth",
            "abstract": "This reference only dataset contains Sentinel-1 data that has been modified to provide a Normalised Radar Backscatter, Analysis Ready Dataset over Plymouth.  Two months' of data are provided for each area in the CARD4L v3.2.2 standard format.  The data is designed to be used with the ESA SNAP toolbox. UK Analysis-Ready Data (ARD) tests in support of the Committee on Earth Observation Satellites (CEOS) Standards is a project run by the Group on Earth Observations (GEO)/CEOS office.  The purpose of the project was to demonstrate the UK's ability to produce ARD to the specified CEOS Analysis Ready Data for Land (CARD4L) standards. The GEO/CEOS office is hosted by NCEO and funded by UK Space Agency, DEFRA and NERC.",
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            "uuid": "602f11d9a2034dae9d0a7356f9aeaf45",
            "title": "The Disdrometer Verification Network (DiVeN): particle diameter and fall velocity measurements from a network of Thies Laser Precipitation Monitors around the UK (2017-2019)",
            "abstract": "Starting in February 2017, a network of 14 Thies™ manufactured Laser Precipitation Monitors (LPMs) were installed at various locations around the United Kingdom to create the Disdrometer Verification Network (DiVeN). The instruments were installed for verification of radar hydrometeor classification algorithms but are valuable for much wider use in the scientific and operational meteorological community.\r\n\r\nEvery Thies LPM is able to designate each observed hydrometeor into one of 20 diameter bins from >= 0.125 mm to > 8 mm, and one of 22 speed bins from > 0.0 m s-1 to > 20.0 m s-1. A laser and diode receiver operate in tandem; a falling particle will occlude the beam. The duration of the occlusion and the maximum extent (measured by diode voltage) determines the fall velocity and diameter respectively. Using empirically-derived relationships, the instrument classifies precipitation into one of 11 possible hydrometeor classes in the form of a 'present weather code', with an associated indicator of uncertainty. To provide immediate feedback to data users, the observations are plotted in near real time (NRT) and made publicly available on a website within 7 minutes (see linked documentation section). A 'present weather code' is a World Meteorological Organisation (WMO) code used to define the present observatory weather (see linked documentation for the WMO present weather code list).\r\n\r\nThe instruments belonged to the Met Office but were loaned to the National Centre for Atmospheric Science (NCAS) for the duration of the project. NCAS handle the receiving server for real-time DiVeN data, which is the only route to this dataset. On-site collection of data are not guaranteed in all circumstances. Some of the sites rely on unreliable O2 3G dongles; whilst the Feshie instrument was solar and wind powered and the Coverhead instrument suffered from power / connectivity issues. Any missing data can be explained by these reasons, and are handled appropriately in the files. The data were collated into daily files of 1440 minutes. More information can be found in Pickering et al., 2018, see related documentation.",
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                    "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": "The Fidelity and Uncertainty in Climate data records from Earth Observations consists of new climate datasets from Earth Observation Satellites which have received rigorous treatment of uncertainty informed by the discipline of metrology. The collection datasets  include Fundamental Climate Data Records (FCDRs) containing harmonised radiances and [Thematic] Climate Data Records (CDRs) for ensemble sea and lake surface temperature, tropospheric humidity, aerosol optical depth and surface albedo  that are widely applicable and metrologically rigorous.\r\n\r\nThe archived  FCDRs have a length relevant to climate (>20 years) and can support numerous CDRs. The selected CDRs illustrate new capabilities (e.g. equi-probable ensembles) as well as the benefiting from use of the new FCDRs, resulting in improved stability and traceable uncertainties. Specifically, the data collection contains: harmonised radiances (FCDRs) for the following sensors: Advanced Very High Resolution Radiometer (AVHRR), High Resolution Infrared Radiation Sounder (HIRS),  Advanced Microwave Sounding Unit-B (AMSU-B), Microwave Humidy Sounder (MHS) and Meteosat Visible Infra-Red Imager (MVIR); and geophysical datasets with uncertainties."
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                    "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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            "title": "APHH: Simulated photolysis rates using the Fast-JX model at the IAP-Beijing site during the winter and summer campaigns",
            "abstract": "This dataset contains Simulated Photolysis rates using the Fast-JX model at the IAP-Beijing site during the winter and summer APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.\r\n\r\nFast-JX column photolysis model was used at Lancaster University  to simulate column profiles of photolysis rates (JO3 and JNO2) centred on the Institute of Atmospheric Physics (IAP) tower site in Beijing. The photolysis rate profiles are simulated under different aerosol loadings to represent the optical effects of individual species and cloud cover on photochemistry.",
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            "abstract": "This dataset contains methane, carbon dioxide and meteorological observations taken onboard the commercial freight ferry Finlandia Seaways on route between Rosyth (Scotland, UK: 56°1'21.611''N 3°26'21.558'' W) and Zeebrugge (Belgium : 51°21'16.96''N 3°10'34.645''E) 2015-2017 by the Centre for Ecology and hydrology (CEH). The measurements were taken using a Picarro CRDS model G1301, Vaisala WXT510 weather station and Garmin GPS. \r\n\r\nThis data was collected as part of the Natural Environment Research Council (NERC) Greenhouse gAs Uk and Global Emissions (GAUGE) project (NE/K002449/1NERC)  and NERC UK-SCAPE programme delivering National Capability (NE/R016429/1).\r\n\r\nThe GAUGE project aimed to determine the magnitude, spatial distribution, and uncertainties of the UK's Greenhouse Gas budget using new and existing measurement networks and modelling approaches at a range of scales.",
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            "title": "High resolution Standardized Precipitation Evapotranspiration Index (SPEI) dataset for Africa",
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                    "short_code": "coll",
                    "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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            "title": "ARSF 2014_309 - MA14_14 Flight: Airborne remote sensing measurements",
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                    "abstract": "Investigating the combination of inventory data from a network of nine 4-ha plots across a well-characterised gradient of soil nutrient and water availability at the Sepilok Forest Reserve, Sabah, Malaysia. These will be coupled with a ground campaign to measure leaf- level spectroscopic properties of canopy leaves and obtain samples for measure of 18 leaf chemical and morphological traits."
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            "ob_id": 27634,
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            "title": "Spectral analysis of voltage data taken from the Canadian Riometer Array",
            "abstract": "This dataset contains voltage data taken from the Canadian Riometer Array (CRA). The provided tables and datasets can be used to determine if the voltage time series of CRA riometers have characteristic spectral features. In addition, datasets are provided which have been collected from the Solar Wind Electron Proton Monitor (SWEPAM) and Magnetic Field Experiment (MAG) instruments aboard the Atmospheric Composition Explorer (ACE).",
            "creationDate": "2022-07-22T09:15:57.183554",
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                "explanation": "The median filter of the riometer is unavoidable, coming with the instrument.  This filter has heavy sidelobes, leading to a significant degree of smoothing of the population power spectrum of the riometer voltage process in the resulting estimates of spectral power.  At points where there is significant variability over time scales around several minutes, the interpolation technique can struggle to provide a perfectly accurate reconstruction in places, although this has limited effects on the power-spectrum estimates included in the data files.",
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                "abstract": "Spectral analysis of voltage data taken from the Canadian Riometer Array"
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            "title": "ESA Land Cover Climate Change Initiative (Land_Cover_cci):  Global Land Cover Maps, Version 2.0.7",
            "abstract": "As part of the ESA Land Cover Climate Change Initiative (CCI) project a new set of Global Land Cover Maps have been produced. These maps are available at 300m spatial resolution for each year between 1992 and 2015.\r\n\r\nEach pixel value corresponds to the classification of a land cover class defined based on the UN Land Cover Classification System (LCCS).  The reliability of the classifications made are documented by the four quality flags (decribed further in the Product User Guide) that accompany these maps.    Data are provided in both NetCDF and GeoTiff format.\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 .   Maps for the 2016-2020 time period have been produced in the context of the Copernicus Climate Change service, and can be downloaded from the Copernicus Climate Data Store (CDS).",
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                "explanation": "Data are as provided by the land cover CCI team.   Quality flag information is provided with the NetCDF data and as separate geotiff files.    For further information see the land cover CCI documentation",
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                "abstract": "The set of annual land cover (LC) maps are  derived from a unique baseline LC map which is generated thanks to the entire MERIS FR (Full Resolution) and RR (Reduced Resolution) archive from 2003 to 2012. Independently from this baseline, LC changes are detected at 1 km based on a time series of annual global classifications generated from AVHRR HRPT (1992 - 1999), SPOT-Vegetation (1999 - 2012) and PROBA-V (2013 - 2015). Systematic analysis of the temporal trajectory of each pixel allowed the depiction of the major changes for a simplified land cover typology matching the IPCC classes. These classes are: cropland, forest, grassland, wetlands, settlements and other lands; the latter class being further split into shrubland, sparse vegetation, bare area and water.\r\n\r\nWhen MERIS FR or PROBA-V time series are available, the changes detected at 1km are re-mapped at 300 meters. The last step consists in back- and up-dating the 10-year baseline LC map to produce the 24 annual LC maps from 1992 to 2015."
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                    "abstract": "In response to a proposed activity of the World Climate Research Programme (WCRP) Working Group on Coupled Modelling (WGCM), PCMDI volunteered to collect model output contributed by leading modelling centres around the world. Climate model output from simulations of the past, present and future climate was collected by PCMDI mostly during the years 2005 and 2006, and this archived data constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3). In part, the WGCM organized this activity to enable those outside the major modelling centres to perform research of relevance to climate scientists preparing the Fourth Assessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. The IPCC publishes reports that summarize the state of the science."
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                    "abstract": "The WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5), was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the World Climate Research Program (WCRP) and provided input for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5).\r\n\r\nThe CMIP5 archive is managed via the Earth System Grid Federation, a globally distributed archive, with various \"gateways\" with advanced faceted search capabilities provided by a number of participating organisations. Full details are available from the PCMDI CMIP5 pages (see linked documentation on this record).\r\n\r\nCEDA provides access to the UK Met Office contribution to the CMIP5 archive to UK researchers within the full distributed archive infrastructure and additionally holds a copy of the CMIP5 archive within its infrastructure to aid local use."
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                    "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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            "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 4.0",
            "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 4.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available.",
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                "title": "Derivation of Ocean Colour v4 data from the ESA Climate Change Initiative Ocean Colour project (Ocean_Colour_cci)",
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                    "short_code": "coll",
                    "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci):  Version 4.0 Data",
                    "abstract": "This collection contains version 4.0 datasets produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI).     The Ocean Colour CCI is producing long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of  wavelength 490 nm.   Information on uncertainties is also provided.\r\n\r\nThis dataset collection refers to the Version 4.0 data products held in the CEDA archive covering the period 1997-2018.   Links to the individual datasets that make up this collection are given in the record below.\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
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                    "short_code": "coll",
                    "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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            "title": "FAAM C200 ACSIS-5 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 The North Atlantic Climate System Integrated Study: ACSIS (ACSIS-5) project.",
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                    "title": "The North Atlantic Climate System Integrated Study: ACSIS",
                    "abstract": "Major changes are occurring across the North Atlantic (NA) climate system: in ocean and atmosphere temperatures and circulation, in sea ice thickness and extent, and in key atmospheric constituents such as ozone, methane and aerosols. Many observed changes are unprecedented in instrumental records. Changes in the NA directly affect the UK’s climate, weather and air quality, with major economic impacts on agriculture, fisheries, water, energy, transport and health.  The NA also has global importance, since changes here drive changes in climate, hazardous weather and air quality further afield, such as in North America, Africa and Asia.\r\n\r\nACSIS (the North Atlantic Climate System Integrated Study) was an integrated programme of sustained observations, synthesis, and numerical modelling designed to address the overarching objective of enhancing the UK's capability to detect, attribute and predict changes in the North Atlantic (NA) Climate System, comprising: the North Atlantic Ocean, the atmosphere above it including its composition, and interactions with Arctic Sea Ice and the Greenland Ice Sheet. Specific objectives are:\r\n1. To provide the UK science community with sustained observations, data syntheses, leading-edge numerical simulations, and analysis tools, to facilitate world-class research on changes in the NA climate system and their impacts.\r\n2. To provide a quantitative, multivariate, description of how the NA climate system is changing.\r\n3. To determine the primary drivers and processes that are shaping change in the NA climate system now and will shape change in the near future.\r\n4. To determine the extent to which future changes in the NA climate system are predictable.\r\nACSIS enabled and delivered research to address the following research questions:\r\nRQ1. How have changes in natural and anthropogenic emissions and atmospheric circulation combined to shape multiyear trends in NA atmospheric composition and radiative forcing?\r\nRQ2. How have natural variability and radiative forcing combined to shape multi- year trends in the NA physical climate system?\r\nRQ3. To what extent are changes in the NA climate system predictable on multi-year timescales?\r\nACSIS was a partnership between six NERC centres (NCAS, NOC, BAS, NCEO, CPOM, PML) and the UK Met Office, exploiting the partners' unique capabilities in observing and simulating the atmosphere including its composition, the ocean, the cryosphere, and the fully coupled climate system.\r\nThe observational component brought together records from Earth-based (e.g. Cape Verde observatory, FAAM missions, RAPID, Argo, OSNAP) and spacebased (e.g. Cryosat, MetOP) platforms with a focus on the sustained observations that are necessary to measure changes on multi-year timescales.\r\nACSIS worked closely with the NERC-Met Office UKESM programme on Earth System Modelling, and contributed to and benefited from UK participation in international observing programmes such as UK-US RAPID, EU ATLANTOS and Global Atmospheric Watch, and modelling programmes such as CMIP6 and EU PRIMAVERA.\r\nThe legacy of ACSIS includes: new long-term multivariate observational datasets and syntheses; new modelling capabilities and simulations with unprecedented fidelity. ACSIS provided advances in understanding and predicting changes in the NA climate system that can be exploited in further research and related activities, for example to assess the impact of these changes on the UK and other countries - e.g. in terms of the consequences for hazardous weather risk, the environment and businesses. ACSIS outputs will also inform policy on climate change adaptation and air quality.\r\nACSIS was fully funded for five years (2016-2021)by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) (grant NE/N018028/1) which aimed to encourage its research centres to work closely together to tackle major scientific and societal challenges. ACSIS is one of the projects funded through this new way of allocating national capability funding, designed to enable more ambitious science than any single research organisation could provide."
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                    "title": "The North Atlantic Climate System Integrated Study: ACSIS",
                    "abstract": "Major changes are occurring across the North Atlantic (NA) climate system: in ocean and atmosphere temperatures and circulation, in sea ice thickness and extent, and in key atmospheric constituents such as ozone, methane and aerosols. Many observed changes are unprecedented in instrumental records. Changes in the NA directly affect the UK’s climate, weather and air quality, with major economic impacts on agriculture, fisheries, water, energy, transport and health.  The NA also has global importance, since changes here drive changes in climate, hazardous weather and air quality further afield, such as in North America, Africa and Asia.\r\n\r\nACSIS (the North Atlantic Climate System Integrated Study) was an integrated programme of sustained observations, synthesis, and numerical modelling designed to address the overarching objective of enhancing the UK's capability to detect, attribute and predict changes in the North Atlantic (NA) Climate System, comprising: the North Atlantic Ocean, the atmosphere above it including its composition, and interactions with Arctic Sea Ice and the Greenland Ice Sheet. Specific objectives are:\r\n1. To provide the UK science community with sustained observations, data syntheses, leading-edge numerical simulations, and analysis tools, to facilitate world-class research on changes in the NA climate system and their impacts.\r\n2. To provide a quantitative, multivariate, description of how the NA climate system is changing.\r\n3. To determine the primary drivers and processes that are shaping change in the NA climate system now and will shape change in the near future.\r\n4. To determine the extent to which future changes in the NA climate system are predictable.\r\nACSIS enabled and delivered research to address the following research questions:\r\nRQ1. How have changes in natural and anthropogenic emissions and atmospheric circulation combined to shape multiyear trends in NA atmospheric composition and radiative forcing?\r\nRQ2. How have natural variability and radiative forcing combined to shape multi- year trends in the NA physical climate system?\r\nRQ3. To what extent are changes in the NA climate system predictable on multi-year timescales?\r\nACSIS was a partnership between six NERC centres (NCAS, NOC, BAS, NCEO, CPOM, PML) and the UK Met Office, exploiting the partners' unique capabilities in observing and simulating the atmosphere including its composition, the ocean, the cryosphere, and the fully coupled climate system.\r\nThe observational component brought together records from Earth-based (e.g. Cape Verde observatory, FAAM missions, RAPID, Argo, OSNAP) and spacebased (e.g. Cryosat, MetOP) platforms with a focus on the sustained observations that are necessary to measure changes on multi-year timescales.\r\nACSIS worked closely with the NERC-Met Office UKESM programme on Earth System Modelling, and contributed to and benefited from UK participation in international observing programmes such as UK-US RAPID, EU ATLANTOS and Global Atmospheric Watch, and modelling programmes such as CMIP6 and EU PRIMAVERA.\r\nThe legacy of ACSIS includes: new long-term multivariate observational datasets and syntheses; new modelling capabilities and simulations with unprecedented fidelity. ACSIS provided advances in understanding and predicting changes in the NA climate system that can be exploited in further research and related activities, for example to assess the impact of these changes on the UK and other countries - e.g. in terms of the consequences for hazardous weather risk, the environment and businesses. ACSIS outputs will also inform policy on climate change adaptation and air quality.\r\nACSIS was fully funded for five years (2016-2021)by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) (grant NE/N018028/1) which aimed to encourage its research centres to work closely together to tackle major scientific and societal challenges. ACSIS is one of the projects funded through this new way of allocating national capability funding, designed to enable more ambitious science than any single research organisation could provide."
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                    "short_code": "coll",
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            "abstract": "The boundaries of a set of regions which are defined in Chapter 14 of the Working Group 1 (WGI) contribution to the 2013 Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) and in the AR5 Annex I Atlas of Global and Regional Climate Projections.  The regions are used for the calculation of IPCC regional climate statistics.\r\n\r\nThe regions used to calculate regional climate statistics in AR5 are the 26 SREX regions defined by the IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (IPCC, 2012: also known as \"SREX\"). For AR5  an additional 7 regions containing the two polar regions, the Caribbean, Indian Ocean and Pacific Island States have been added.  In total there are 33 region boundaries and of these,  4 (the Arctic, Antarctic, South Asia and South-East Asia) are used twice for land-only and sea-only analysis, giving a total of 37 IPCC analysis regions.\r\n\r\nEach of the 33 regions is provided with a name and a label. The label is set to the three letter code used in the SREX report for the 26 SREX regions. The 7 additional reference regions are also given three letter short names.\r\n\r\nThe 26 SREX regions are: Alaska/NW Canada (ALA), Eastern Canada/Greenland/Iceland (CGI), Western North America (WNA), Central North America (CNA), Eastern North America (ENA), Central America/Mexico (CAM), Amazon (AMZ), NE Brazil (NEB), West Coast South America (WSA), South- Eastern South America (SSA), Northern Europe (NEU), Central Europe (CEU), Southern Europe/the Mediterranean (MED), Sahara (SAH), Western Africa (WAF), Eastern Africa (EAF), Southern Africa (SAF), Northern Asia (NAS), Western Asia (WAS), Central Asia (CAS), Tibetan Plateau (TIB), Eastern Asia (EAS), Southern Asia (SAS), Southeast Asia (SEA), Northern Australia (NAS) and Southern Australia/New Zealand (SAU).\r\n\r\nThe non-SREX reference regions are: Antarctica (ANT), Arctic (ARC), Caribbean (CAR), Western Indian Ocean (WIO), Northern Tropical Pacific (NTP), Equatorial Tropical Pacific (ETP) and Southern Tropical Pacific (STP). \r\n\r\nThe region definitions have a subtlety regarding the treatment of land and sea areas which needs to be handled with care. The climate models use a range of methods for dealing with coastal boundaries. The archived data includes a field giving the proportion of each model grid cell which is land or sea. A model grid cell is considered land if more that 50% of the cell is land. The mean for a given region is then defined in terms of the grid points (which are the cell centres) which are within the specified reference boundaries. The spatial area covered by these grid cells will then differ from model to model. The reference boundaries thus provide a starting point for defining the regional means: the means are not a simple average of these areas. The distinction is not expected to be substantial, but anyone wanting to reproduce exactly the same numbers will need to follow all steps carefully.",
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                "fileFormat": "The 33 reference region boundaries are archived in Environmental Systems Research Institute (Esri) shapefile format (.shp, .shx and .dbf), with an additional projections file (.prj) to specify the projection. Users should be aware that the projections file is widely used, but is not part of the Esri standard (the standard does not provide any means of specifying the projection). It is thus possible that software designed to support a narrow, and technically accurate, interpretation of the standard will not pick up the information in the projections file.\r\n\r\nIn addition to the Esri shapefile data the reference regions are also provided in human-readable .xls and .cvs format containing the longitude-latitude coordinates of the region boundary vertices.  A .jpeg file shows the regions on a map, it is produced from the Esri shapefile data with a sample .r script which is also included in this dataset.\r\n\r\nThe file format suffixes contained in this dataset are: .csv .xls .json .jpg .r .dbf .shp .shx .prj"
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                    "abstract": "MOYA was a NERC funded research programme which began in May 2016 and will run for four years. Sixteen research partners make up the MOYA consortium.\r\n\r\nThe central objective of the MOYA project is to move towards closing the global methane budget through undertaking new observations and further analysis of existing data."
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                {
                    "ob_id": 5782,
                    "uuid": "affe775e8d8890a4556aec5bc4e0b45c",
                    "short_code": "coll",
                    "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights",
                    "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use."
                },
                {
                    "ob_id": 24762,
                    "uuid": "d309a5ab60b04b6c82eca6d006350ae6",
                    "short_code": "coll",
                    "title": "MOYA: ground station and in-situ airborne observations by the FAAM BAE-146 aircraft",
                    "abstract": "This dataset collection contains ground observations and in-situ airborne observations by the FAAM BAE-146 aircraft for Methane Observations and Yearly Assessments: MOYA.\r\n\r\nThis data was collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1)."
                }
            ],
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}