(My organization)
Continents, countries, sea regions of the world.
https://catalogue.ceda.ac.uk/uuid/b8cb8a5d02b143fc8257d030f81bcf76 b8cb8a5d02b143fc8257d030f81bcf76
MYD09GA - MODIS/Aqua Surface Reflectance Daily L2G Global 1km and 500m SIN Grid
These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD09GA Shortname: MYD09GA , Platform: Aqua , Instrument: MODIS , Processing Level: Level-2 Tiled , Spatial Resolution: 500 m, 1 km , Temporal Resolution: daily , ArchiveSets: 61, 6 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE13
Public data: access to these data is available to both registered and non-registered users.
Under the following licence https://modaps.modaps.eosdis.nasa.gov/services/faq/LAADS_Data-Use_Citation_Policies.pdf, appropriate use of these data may fall under unclassified use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were downloaded from https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/ to support UK research groups, especially NCEO.
UK - Overturning in the Subpolar North Atlantic Programme (UK-OSNAP) 2013-2024
This dataset comprises hydrographic sections, together with measurements collected by ocean gliders and moored instrumentation deployed during the UK Overturning In the Subpolar North Atlantic Programme (UK-OSNAP). UK-OSNAP is the UK contribution to the International OSNAP Programme. The dataset also includes modelling output informed by the observations. OSNAP observations are focused on two lines: i) OSNAP West, extending from south Labrador to southwest Greenland and ii) OSNAP East from southeast Greenland to Scotland. Data collection commenced June 2014 and is ongoing. UK-OSNAP consists of cruises JR302, PE399, DY053, DY054, two alternating glider deployments, current meter moorings (five at Cape Farewell and three in the Rockall trough) and ADCPs in the Rockall Trough Shelf Edge Current. The model data addresses the Subpolar Gyre circulation and fluxes using data assimilation and theoretical analysis. The datasets assembled as part of UK-OSNAP provide a continuous record of full-depth, trans-basin mass, heat, and freshwater fluxes in the North Atlantic Subpolar Gyre. These, coupled with the associated modelling exercises help improve the understanding of the circulation and fluxes of the North Atlantic Subpolar Gyre. UK-OSNAP, funded by the Natural Environment Research Council (NERC) is led by the National Oceanography Centre (NOC). UK-OSNAP is a partnership between NOC, Scottish Association for Marine Science (SAMS), University of Oxford and the University of Liverpool. It is part of international OSNAP that is led by USA and includes 10 further partner groups in Canada, France, Germany, the Netherlands and China. Investigators: National Oceanography Centre (NOC): Dr Penny Holliday, Dr Sheldon Bacon, Dr Chris Wilson, Neill Mackay. Scottish Association for Marine Science (SAMS): Dr Stuart Cunningham, Prof Mark Inall, Loic Houpert. University of Oxford: Prof David Marshall, Dr Helen Johnson. University of Liverpool: Prof Ric Williams, Dr Vassil Roussenov. The full dataset is still being assembled and currently consists of near real time glider measurements, mooring data and cruise data. NERC have added an extension to UK-OSNAP, until October 2024. This will result in the UK-OSNAP-Decade: 10 years of observing and understanding the overturning circulation in the subpolar North Atlantic (2014-2024).
Transmittance and attenuance of the water column
Acoustic backscatter in the water column
Vertical velocity of the water column (currents)
Horizontal velocity of the water column (currents)
Dissolved oxygen parameters in the water column
Natural Environment Research Council Designated Data Centres
Marine Environmental Data and Information Network
Data are only available on the basis of case-by-case negotiation for usage
Usage restrictions are specified in the terms of the licence
This dataset was created by UK-OSNAP scientists from 2014 onwards in the North Atlantic Ocean following their in-house data processing and quality control procedures. The data were then provided to the British Oceanographic Data Centre (BODC) for ingestion into one of the schemas of the National Oceanographic Database (NODB). During ingestion BODC undertake quality control, documentation and metadata enhancement procedures appropriate to the type of data. For an overview please see http://www.bodc.ac.uk/about/information_technology/data_processing_steps/. BODC supply full information about data collection, data processing and data quality with all data requests to enable users to assess data suitability themselves.Instrument(s) used to collect data: fluorometers; current profilers; radiometers; thermosalinographs; altimeters; salinometers; water pressure sensors; CTD; current meters; water temperature sensor; single-beam echosounders.
MOSAiC: Wind profiles from Galion G4000 Lidar Wind Profiler
Wind profiles from a Galion G4000 Doppler lidar for the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) project, derived from conical scans at 30 degree and 50 degree beam elevation angles. The University of Leeds participation in the project- MOSAiC Boundary Layer -was funded by the Natural Environment Research Council (NERC, grant: NE/S002472/1) and involved instrumentation from the Atmospheric Measurement and Observations Facility of the UK's National Centre for Atmospheric Science (NCAS AMOF). This was a year-long project on the German icebreaker Polarstern to study Arctic climate focused on measurements of atmospheric boundary layer dynamics and turbulent structure. The Galion wind profiler provides high resolution (~15m vertical and 5 minute temporal) measurements of wind profiles. Data are only available where sufficient particles are available to backscatter the laser light - in the clean arctic environment, this requires cloud or precipitation.
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.
Grid-to-Grid model estimates of river flow for Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2
Gridded hydrological model river flow estimates on a 1km grid over Northern Ireland for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept), along with the date of occurrence, and annual minima of 7-day mean river flow (years spanning Dec-Nov), along with the date of occurrence (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable and ensemble member. To aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid and c) a 1km x 1km grid identifying majority lake cells. The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award. Full details about this dataset can be found at https://doi.org/10.5285/76057b0a-b18f-496f-891c-d5b22bd0b291
If you reuse this data, you should cite: Kay, A.L., Rudd, A.C., Davies, H.N., Lane, R.A., Bell, V.A. (2022). Grid-to-Grid model estimates of river flow for Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/76057b0a-b18f-496f-891c-d5b22bd0b291
This resource is available under the terms of the Open Government Licence
This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018, catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604). The projections comprise a 12-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE derived from other meteorological variables (using the Penman-Monteith scheme). See Supporting Information for more details.
UK Environmental Change Network (ECN) common breeding birds data 1971-2007
Bird species data from the UK Environmental Change Network (ECN) lowland terrestrial sites. These data were collected, using the British Trust for Ornithology (BTO)'s Common Bird Census methodology (CBC), at ECN's lowland terrestrial sites using a standard protocol. This protocol was abandoned in favour of the Breeding Bird Survey (Rennie et al (2017) UK Environmental Change Network (ECN) bird data: 1995-2015 https://doi.org/10.5285/5886c3ba-1fa5-49c0-8da8-40e69a10d2b5 ) in 1999. However, some sites continued to follow this protocol for a number of years after 1999 to allow comparison with the Breeding Bird Survey data. The CBC uses a mapping method in which a series of visits are made to all parts of a defined plot during the breeding season and contacts with birds by sight or sound are recorded on large-scale maps. Information from the series of visits is combined to estimate the number of territories found. Annual data are recorded but the date ranges available are variable for each site. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/8582a02c-b28c-45d2-afa1-c1e85fba023d
If you reuse this data, you should cite: Rennie, S., Bater, J., Beaumont, D., Benham, S., Britt, C., Brooks, D., Brunt, A., Brunt, J., Corbett, S., Critchley, N., Donovan, N., Hargreaves, P., Howe, M., Lane, M., McMillan, S., Morecroft, M., Onley, D., Overall, R., Pallett, D., Schafer, S., Scott, T., Sherrin, L., Shortall, C., Smith, R., Smith, P., Taylor, M., Tyson, K. (2017). UK Environmental Change Network (ECN) common breeding birds data 1971-2007. NERC Environmental Information Data Centre https://doi.org/10.5285/8582a02c-b28c-45d2-afa1-c1e85fba023d
This resource is made available under the terms of the Open Government Licence
These data are collected, using the British Trust for Ornithology (BTO)'s Common Bird Census methodology, at all of ECN's terrestrial sites using a standard protocol. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. Verification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset). Appropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.
Land Cover Map 2015 (vector, N. Ireland)
This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Northern Ireland. The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM2015 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990. They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019. Full details about this dataset can be found at https://doi.org/10.5285/60764028-adeb-4316-987a-14b3b21a8f9a
Bespoke licensing conditions apply to these data. If you choose to download the data, the CEH Data Licensing team will contact you to negotiate a licence.
If you reuse this data, you should cite: Rowland, C.S., Morton, R.D., Carrasco, L., McShane, G., O'Neil, A.W., Wood, C.M. (2017). Land Cover Map 2015 (vector, N. Ireland). NERC Environmental Information Data Centre https://doi.org/10.5285/60764028-adeb-4316-987a-14b3b21a8f9a
For LCM2015, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then 'imported' into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster classification product is the majority class per polygon i.e. the dominant class for each polygon. LCM2015 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007 and LCM2015 the framework is based on generalised OS MasterMap (R). The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015.
Published dataset - doi:10.5285/630bd9f3-2aec-2135-e053-6c86abc01eed
Published dataset - doi:10.5285/6cb6dc0c-7bec-3ca4-e053-6c86abc0b9f0
Published dataset - doi:10.5285/6cb6dc0c-7bed-3ca4-e053-6c86abc0b9f0
Published dataset - doi:10.5285/cfce79e5-93df-2d7e-e053-6c86abc033d4
Published dataset - doi:10.5285/956ac13a-a99e-7107-e053-6c86abc0cfbc
NERC EDS Centre for Environmental Data Analysis
National Aeronautics and Space Administration (NASA)
NERC EDS Environmental Information Data Centre