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Details are available from the product documentation accompanying this dataset.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T15:37:53.000Z","orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1e09f53f-55de-4960-b2a1-da2a42029e7e","10.5285/1e09f53f-55de-4960-b2a1-da2a42029e7e","doi:10.5285/1e09f53f-55de-4960-b2a1-da2a42029e7e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type;…","state":"published","title":"Land Cover Map 2022 (10m classified pixels, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["School of Geographical and Earth Sciences, University of Glasgow","Department of Civil and Environmental Engineering, Brunel University London","National Institute of Geological Sciences, University of the Philippines","Department of Geography & Regional Research, University of Vienna"],"authorFamilyName":["Boothroyd","Williams","Hoey","MacDonell","Tolentino","Quick","Guardian","Reyes","Sabillo","Perez","David"],"authorFullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","MacDonell, C.","Tolentino, P.L.M.","Quick, L.","Guardian, E.L.","Reyes, J.C.M.","Sabillo, C.J.","Perez, J.E.G.","David, C.P.C."],"authorGivenName":["R.J.","R.D.","T.B.","C.","P.L.M.","L. ","E.L.","J.C.M.","C.J.","J.E.G.","C.P.C."],"authorOrcid":["https://orcid.org/0000-0001-9742-4229","https://orcid.org/0000-0001-6067-1947","https://orcid.org/0000-0003-0734-6218","https://orcid.org/0000-0002-5516-5078","https://orcid.org/0000-0002-1803-9734"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/00dn4t376","https://ror.org/03tbh6y23","https://ror.org/03prydq77"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)","TIFF"],"description":"This dataset contains a national-scale geodatabase of stream network and river catchment characteristics in the Philippines. It presents detailed information on 128 medium- to large-sized catchments (catchment area > 250 km2). The quantitative descriptions provide context for enabling geomorphologically-informed sustainable river management. The geodatabase provides a baseline understanding of fundamental topographic characteristics in support of varied geomorphological, hydrological and geohazard susceptibility applications.\n\nData sets include:\n 1) GIS shapefiles with river catchment properties;\n 2) GIS shapefiles with stream network properties;\n 3) spreadsheets containing morphometric and topographic characteristics (n = 91);\n 4) example MATLAB code and topographic data to replicate the analysis for a selected catchment.\n\nThe work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312/1.","documentType":"GEMINI_DOCUMENT","familyName":["Boothroyd","Williams","Hoey","MacDonell","Tolentino","Quick","Guardian","Reyes","Sabillo","Perez","David"],"fullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","MacDonell, C.","Tolentino, P.L.M.","Quick, L.","Guardian, E.L.","Reyes, J.C.M.","Sabillo, C.J.","Perez, J.E.G.","David, C.P.C."],"funder":["Natural Environment Research Council"],"givenName":["R.J.","R.D.","T.B.","C.","P.L.M.","L. ","E.L.","J.C.M.","C.J.","J.E.G.","C.P.C."],"grant":["NE/S003312/1"],"identifier":"49ae11ec-e4e5-4e4a-b091-976d18c4ee3e","incomingCitationCount":0,"keyword":["Philippines","Hydrology","Topography","river","catchment","Stream networks","river management","geomorphology"],"keywordsOther":["Topography","river","catchment","Stream networks","river management","geomorphology"],"keywordsPlace":["Philippines"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The analysis used a nationwide digital elevation model (DEM) acquired in 2013 and generated through airborne Interferometric Synthetic Aperture Radar (IfSAR), with a 5 m spatial resolution and 1 m root-mean-square error vertical accuracy.\nCatchment and stream network properties were calculated using TopoToolbox V2.\n\nThe web-application was designed using the ArcGIS Web AppBuilder.\n\nThe data set is fully described in Boothroyd et al. (2023) https://doi.org/10.1371/journal.pone.0281933 .","locations":["POLYGON((116 4, 116 21, 127 21, 127 4, 116 4))"],"metadataDate":"2026-06-27T20:00:11.000Z","orcid":["https://orcid.org/0000-0001-9742-4229","https://orcid.org/0000-0001-6067-1947","https://orcid.org/0000-0003-0734-6218","https://orcid.org/0000-0002-5516-5078","https://orcid.org/0000-0002-1803-9734"],"organisation":["School of Geographical and Earth Sciences, University of Glasgow","Department of Civil and Environmental Engineering, Brunel University London","National Institute of Geological Sciences, University of the Philippines","Department of Geography & Regional Research, University of Vienna","University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-01-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/49ae11ec-e4e5-4e4a-b091-976d18c4ee3e","10.5285/49ae11ec-e4e5-4e4a-b091-976d18c4ee3e","doi:10.5285/49ae11ec-e4e5-4e4a-b091-976d18c4ee3e"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/00dn4t376","https://ror.org/03tbh6y23","https://ror.org/03prydq77","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a national-scale geodatabase of stream network and river catchment characteristics in the Philippines. It presents detailed information on 128 medium- to large-sized catchments (catchment area > 250 km2). The quantitative descriptions provide context…","state":"published","supplementalDescription":["Boothroyd, RJ., Williams, RD., Hoey, TB., MacDonell, C., Tolentino, PLM., Quick, L., Guardian, EL., Reyes, M., Sabillo, C., Perez, JEG and David, CPC. National-scale geodatabase of catchment characteristics in the Philippines for river management applications. PLOS ONE. 18(3): e0281933.","An interactive version of the catchment geodatabase."],"title":"National-scale geodatabase of catchment characteristics in the Philippines","topic":["0/Hydrology/"],"version":1.0,"view":["public","rafbar"]},{"availability":"Unknown","catalogue":"eidc","description":"Standardised Precipitation Index (SPI) data for different levels of Integrated Hydrological Units (IHU). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al [1]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The datasets cover the period from 1961 to 2012. [1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy"],"fullName":["Tanguy, M."],"givenName":["Maliko"],"identifier":"eb4faf0f-5cab-44d4-8d8b-912669e7e31f","incomingCitationCount":0,"keyword":["SPI","indicator","Integrated Hydrological Units","accumulation period","drought","rainfall extremes"],"keywordsOther":["SPI","indicator","Integrated Hydrological Units","accumulation period","drought","rainfall extremes"],"licence":"Non-Open government licence","lineage":"Lineage of children datasets explained in their metadata records","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.5540000000000003 61.026, 3.5540000000000003 49.766, -7.557 49.766))"],"metadataDate":"2025-03-21T13:23:19.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-22T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1434376296994","CEH:EIDC::1434376296994","https://catalogue.ceh.ac.uk/id/eb4faf0f-5cab-44d4-8d8b-912669e7e31f"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Standardised Precipitation Index (SPI) data for different levels of Integrated Hydrological Units (IHU). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al [1]. SPI is calculated for different accumulation…","state":"published","title":"Standardised Precipitation Index time series for Integrated Hydrological Units (1961-2012) ","version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["Montgomery","Couto"],"authorFullName":["Montgomery, S.","Couto, A."],"authorGivenName":["S.","A."],"authorOrcid":["https://orcid.org/0000-0002-5474-5695","https://orcid.org/0000-0002-5528-7331"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains taxanomic and neuropil volume measurements of wild caught heliconiine butterflies, as well as kenyon cell and synapse counts in the mushroom body calyx of insectory -reared heliconiine butterflies. \nWild caught butterflies were sampled from five locations in Central and South America between 2012 and 2016. Locations included Costa Rica, Panama, French Guiana, Ecuador, and Peru. These locations covered a range of habitats from dry to wet forest, at elevations from sea level to 2500m. Interspecific data from wild caught individuals include identification to a species level, sex, and body size, as well as volume measurements of the mushroom body structures, central brain, medulla, and antennal lobe. \n\nMeasurements of mushroom body calyx volume, and estimates of Kenyon cell and synapse counts are included for six species of  insectary-reared adult heliconiine butterflies (Agraulis vanilla, dryas iulia, eueides Isabella, heliconius melpmonene, heliconius Hortense, heliconius hecale). Two species (dryas iulia, heliconius charthonia) were also sampled for microglomeruli counts.\nThis dataset was created as part of a NERC Independent Research Fellowship NE/N014936/1, to analyse the evolutionary expansions in mushroom body size in Heliconius butterflies, compared to their closest relatives.\n","documentType":"GEMINI_DOCUMENT","familyName":["Montgomery","Couto"],"fullName":["Montgomery, S.","Couto, A."],"funder":["Natural Environment Research Council"],"givenName":["S.","A."],"grant":["NE/N014936/2"],"identifier":"de62eff7-6ea4-44d7-a015-2eb9b25cf882","incomingCitationCount":0,"keyword":["Biodiversity","lepidoptera","butterfly species abundance","heliconiini","kenyon cell number","brain","neuropil","mushroom body","mushroom body calyx","synapse density"],"keywordsOther":["lepidoptera","butterfly species abundance","heliconiini","kenyon cell number","brain","neuropil","mushroom body","mushroom body calyx","synapse density"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Samples were collected over multiple field seasons across central and south America using a hand-net, fixed in situ and returned to the UK. Fixed samples were then stained with Anti-SYNORF as a primary antibody, cy2 as a secondary antibody, and imaged using confocal microscopy. The resulting images, which highlight boundaries between brain regions, were then segmented using AMIRA software to quantify neuropil volumes. \n\nInsectary-reared samples were obtained using pupae from commercial supplies. Freshly eclosed butterflies were aged in a controlled temperature room at 28 degrees Celsius with 80% humidity with a 12-hour day/night cycle. The cage was enriched with a natural food resource, supplemented by artificial feeders. Butterflies were sampled six to ten days after emergence.\n\nKenyon cell counts were estimated using immunohistochemical staining against DAPI, imaged with confocal microscopy. Synapse density estimates were made using higher magnification imaging of Anti-SYNORF stained brains, focusing on the calyx. Total count data was obtained by estimating nuclei density/synapse density within sub-sampled regions of a structure, and then extrapolating across the total volume of the structure.\n","locations":["POLYGON((-119.308 -56.207, -119.308 33.669, -33.879 33.669, -33.879 -56.207, -119.308 -56.207))"],"metadataDate":"2026-06-29T16:34:43.000Z","orcid":["https://orcid.org/0000-0002-5474-5695","https://orcid.org/0000-0002-5528-7331"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/de62eff7-6ea4-44d7-a015-2eb9b25cf882","10.5285/de62eff7-6ea4-44d7-a015-2eb9b25cf882","doi:10.5285/de62eff7-6ea4-44d7-a015-2eb9b25cf882"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains taxanomic and neuropil volume measurements of wild caught heliconiine butterflies, as well as kenyon cell and synapse counts in the mushroom body calyx of insectory -reared heliconiine butterflies. \nWild caught butterflies were sampled from five…","state":"published","supplementalName":[" Couto A, Young FJ, Atzeni D, Marty S, Melo‐Flórez L, Hebberecht L, Monllor M, Neal C, Cicconardi F, McMillan WO, Montgomery SH. Rapid expansion and visual specialisation of learning and memory centres in the brains of Heliconiini butterflies. Nature Communications. 2023, 14(1):4024. https://doi.org/10.1038/s41467-023-39618-8"],"title":"Taxonomic data, neuropil volume measurements, and mushroom body calyx kenyon cell and synapse counts for Heliconiini butterflies, Central and South America, 2012-2016","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","British Geological Survey"],"authorFamilyName":["Feeney","Robinson","Lawley","Holbrook","Dhiedt","Williamson","Tye","Redhead"],"authorFullName":["Feeney, C.J.","Robinson, D.A.","Lawley, R.","Holbrook, H.","Dhiedt, E.","Williamson, J.L.","Tye, A.M.","Redhead, J.W."],"authorGivenName":["C.J.","D.A.","R.","H.","E.","J.L.","A.M.","J.W."],"authorOrcid":["https://orcid.org/0000-0003-2175-1842","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-5621-6287","https://orcid.org/0000-0003-2575-6800","https://orcid.org/0000-0001-8216-5885","https://orcid.org/0000-0002-4653-7773","https://orcid.org/0000-0002-2233-3848"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains national scale maps on several characteristics of soils and landscapes across Great Britain, circa 2020. Key soil parent material categories featured here include texture, drainage, depth, organic matter and calcium carbonate contents. Terrain information includes landform classes, topographic wetness index, and indices of valley bottom flatness and ridge top flatness. Our maps were derived from components of the BGS's Depth to Groundwater and Parent Material Models, digital maps of soil organic carbon content and peat extent, locations of landfill and quarry sites from Open Street Map, and the OS Terrain 50 digital terrain model. The collated third-party datasets were modified to produce a mini data cube of several derived map layers, that were then combined to produce a map of 13 soil natural capital units The maps can be used either individually or collectively to support soil health assessment, to train land cover classification and digital soil mapping algorithms, and modelling of ecosystem services.\nThe full dataset includes 9 raster gridded maps at 50 x 50 metre resolution, with full coverage of England, Scotland and Wales. Northern Ireland was excluded due to a lack of accessible third-party data which we could apply our classification framework to. Our dataset is considered to be representative of soils and landscapes as of the year 2020, based on the maps of soil organic carbon content and locations of quarries and landfills we used. However, it should be stressed that several soil properties, including texture, depth, calcium carbonate contents and drainage reflect much longer-term conditions.","documentType":"GEMINI_DOCUMENT","familyName":["Feeney","Robinson","Lawley","Holbrook","Dhiedt","Williamson","Tye","Redhead"],"fullName":["Feeney, C.J.","Robinson, D.A.","Lawley, R.","Holbrook, H.","Dhiedt, E.","Williamson, J.L.","Tye, A.M.","Redhead, J.W."],"funder":["Natural Environment Research Council"],"givenName":["C.J.","D.A.","R.","H.","E.","J.L.","A.M.","J.W."],"grant":["NE/W005050/1"],"identifier":"5bcd927d-8114-4937-af7e-258cfd137109","incomingCitationCount":0,"keyword":["Soil","Mapping","soil map","soil type","landform","landscape","natural capital","parent material"],"keywordsOther":["soil map","soil type","landform","landscape","natural capital","parent material"],"keywordsTheme":["Soil","Mapping"],"licence":"Non-Open government licence","lineage":"We derived 9 new map layers by processing several third-party spatial data layers, including: (1) Ordnance Survey Terrain 50 Digital Terrain Model (OS Terrain 50 DTM); (2) British Geological Survey (BGS) Parent Material Model (PMM); (3) BGS Depth to Groundwater Model; (4) A unified peat map for Great Britain; (5) Soil organic carbon concentration (SOC) maps for 0-30cm and the years, 2000, 2004, 2008, 2012, 2016 and 2020 from the EcoDataCube; and (6) Locations of quarries and dumps circa year 2020, according to Open Street Map (OSM). \nAll maps were harmonised to 50m resolution raster grids under the British National Grid coordinate reference system to the same position and extent. For data already in raster format, layers were reprojected to British National Grid and resampled to 50m. Vector-format maps, including the BGS PMM variables we used and the peat map, were rasterised.\nNext, through a mix of aggregating values into a smaller number of classes and combining different map layers together, the following 4 new map layers were produced: (1) Textural composition, (2) Physico-chemical parent material characteristics, (3) Subsurface drainage controls, and (4) Geomorphon landform classes\nA circular moving neighbourhood analysis window with a 1km diameter was applied to the first 3 maps to smooth out artefacts and sensitive linework in the underlying BGS PMM layers. Next, a decision tree was applied to assign 13 soil natural capital units, defined by combinations of categories across these 4 component maps. To support the accuracy evaluation of our maps, we derived an additional 4 maps of landscapes and terrain indices from the OS Terrain 50 DTM, giving us a total of 9 maps of soils, parent material and terrain for Great Britain. Each of these maps was clipped to a vector layer that represented a \"true\" land mask. This mask layer was derived from the OS boundary high water mark and spatial inventory of water bodies to exclude coastal and inland areas of open water. Full details of all processing steps are included in the Supporting Documentation file included with the dataset.\nInitial checks on the basic structure of the dataset were performed. These include steps to verify that all 9 maps shared the same and correct coordinate reference system, grid resolution and spatial extent; consisted of values within expected ranges; had appropriately defined no-data values; and could be loaded into R, QGIS and ArcMap to test interoperability.\nWe compared our subsurface drainage map with the Hydrology of Soil Types (HOST) map (63 % agreement); our textural composition map against the NATMAP topsoil texture map for England & Wales and a topsoil texture map for Scotland, derived from the National Soil Map of Scotland (53 % agreement); and our physicochemical properties map against equivalent classes from the NATMAP and National Soil Map of Scotland datasets for England & Wales and Scotland, respectively (72 % agreement). Full details of the evaluation results can be found in the Supporting Documentation file included with the dataset.\nIn an effort to remove small artefacts and blur sensitive linework from the BGS parent material maps, we applied a moving neighbourhood smoothing algorithm with a 1km diameter circle. This has blurred out some finer spatial detail, rendering our maps unsuitable for sub-field scales. We would therefore recommend that users apply our data at whole-field scale or across larger domains, such as river catchments or counties up to full national scale.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:19:09.000Z","orcid":["https://orcid.org/0000-0003-2175-1842","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-5621-6287","https://orcid.org/0000-0003-2575-6800","https://orcid.org/0000-0001-8216-5885","https://orcid.org/0000-0002-4653-7773","https://orcid.org/0000-0002-2233-3848"],"organisation":["UK Centre for Ecology & Hydrology","British Geological Survey","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5bcd927d-8114-4937-af7e-258cfd137109","10.5285/5bcd927d-8114-4937-af7e-258cfd137109","doi:10.5285/5bcd927d-8114-4937-af7e-258cfd137109"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","British Geological Survey"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains national scale maps on several characteristics of soils and landscapes across Great Britain, circa 2020. Key soil parent material categories featured here include texture, drainage, depth, organic matter and calcium carbonate contents. Terrain…","state":"published","title":"National scale maps of parent material properties, terrain and soil natural capital units at 50 metre resolution for Great Britain, 2020","topic":["0/Soil/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Imperial College London","Imperial College, Universiti Putra Malaysia","Servicio Nacional de Meteorología e Hidrología del Perú (SENAMHI)","Universidad Nacional Mayor de San Marcos","Universidad de los Andes"],"authorFamilyName":["Manz","Buytaert","Zulkafli","Lavado","Willems","Robles","Rodríguez Sánchez"],"authorFullName":["Manz, B.","Buytaert, W.","Zulkafli, Z.","Lavado, W.","Willems, B.","Robles, L.A.","Rodríguez Sánchez, J.-."],"authorGivenName":["B.","W.","Z.","L.A.","J.-P."],"authorRor":["https://ror.org/041kmwe10","https://ror.org/05h7xpn20","https://ror.org/006vs7897","https://ror.org/04pqpvr75"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"A set of 130 digital precipitation maps of the tropical Andes, covering Colombia, Ecuador and Peru at a 5km resolution. The maps represent different realizations of mean precipitation totals of the period 1981-2010 using different satellite-gauge merging methods. The work draws on a large database of 723 rain gauges and the full 5km Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (TPR) record from 1998 to 2014. Each map is approximately 1MB","documentType":"GEMINI_DOCUMENT","familyName":["Manz","Buytaert","Zulkafli","Lavado","Willems","Robles","Rodríguez Sánchez"],"fullName":["Manz, B.","Buytaert, W.","Zulkafli, Z.","Lavado, W.","Willems, B.","Robles, L.A.","Rodríguez Sánchez, J.-."],"givenName":["Bastian","B.","W.","Z.","L.A.","J.-P."],"identifier":"74a588cc-723c-4a35-ac0c-223f5b92ee36","incomingCitationCount":6,"keyword":["Colombia","Ecuador","Peru","atmospheric precipitation"],"keywordsOther":["atmospheric precipitation"],"keywordsPlace":["Colombia","Ecuador","Peru"],"licence":"Open government licence","lineage":"TRMM Precipitation Radar data, product 2A25, was obtained from NASA for the period Jan 1998 to Oct 2014. Individual orbital scans were converted into time-series and re-projected onto a regular UTM grid (5 km) in R (statistical software), which allowed averaging over time to obtain mean monthly and annual climatological rainfall fields (regular raster grids) from the TPR (in R). Monthly or daily rain gauge time-series for the period 1981-2010 were obtained from IDEAM (Colombia), INAMHI (Ecuador), SENAMHI (Peru), SENAMHI (Bolivia) and NOAA (USA) and mean monthly and annual climatological values were determined for every gauge using a bespoke R script. Gauging station coordinates are re-projected into UTM (in R). Satellite-gauge merging as described in the supporting information was conducted using bespoke R scripts. Following generation of the final merged climatological precipitation fields (regular raster grids) these are converted from R to GeoTIFF (.tif).","locations":["POLYGON((-83.18 -18.442, -83.18 13.443, -64.678 13.443, -64.678 -18.442, -83.18 -18.442))"],"metadataDate":"2026-06-27T19:58:36.000Z","organisation":["Imperial College London","Imperial College, Universiti Putra Malaysia","Servicio Nacional de Meteorología e Hidrología del Perú (SENAMHI)","Universidad Nacional Mayor de San Marcos","Universidad de los Andes","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-01-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/74a588cc-723c-4a35-ac0c-223f5b92ee36","10.5285/74a588cc-723c-4a35-ac0c-223f5b92ee36","doi:10.5285/74a588cc-723c-4a35-ac0c-223f5b92ee36"],"resourceType":"Dataset","ror":["https://ror.org/041kmwe10","https://ror.org/05h7xpn20","https://ror.org/006vs7897","https://ror.org/04pqpvr75","https://ror.org/04xw4m193"],"shortenedDescription":"A set of 130 digital precipitation maps of the tropical Andes, covering Colombia, Ecuador and Peru at a 5km resolution. The maps represent different realizations of mean precipitation totals of the period 1981-2010 using different satellite-gauge merging methods. The…","state":"published","title":"High-resolution satellite-gauge merged precipitation climatologies of the tropical Andes","version":1.0,"view":["public","dgwr","shar1"]},{"authorAffiliation":["University of Portsmouth","National Academy of Sciences, Belarus","Institute of Hydrobiology"],"authorFamilyName":["Fuller","Smith","Ford","Nagorskaya","Gudkov"],"authorFullName":["Fuller, N.","Smith, J.T.","Ford, A.","Nagorskaya, L.L.","Gudkov, D.I."],"authorGivenName":["N.","J.T.","A.","L.L.","D.I."],"authorOrcid":["https://orcid.org/0000-0001-9486-6654","https://orcid.org/0000-0002-0808-2739","https://orcid.org/0000-0001-5202-546X"],"authorRor":["https://ror.org/03ykbk197","https://ror.org/02j8pe645","https://ror.org/04y7jcj09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains morphological data from the isopod crustacean, Asellus aquaticus collected from Chernobyl affected areas of Belarus and Ukraine in 2015. This data was collected to calculate fluctuating asymmetry, a measure of developmental stability, in organisms along a gradient of radiation contamination. Five different morphological characters were measured and fluctuating asymmetry (right side minus left side) was calculated. Fluctuating asymmetry was calculated here as FA2: [|R-L|/(R+L)/2)] where R and L represent measurements in micrometres for right and left sides of the five morphological characters. Number of segments represents raw right minus left data for the number of antennal segments and is thus provided in a separate column. All data provided are means of two independent measurements. In addition, a measure of environmental factors and total dose rates are also provided in this dataset. Blank cells indicate where no data was available.","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Ford","Nagorskaya","Gudkov"],"fullName":["Fuller, N.","Smith, J.T.","Ford, A.","Nagorskaya, L.L.","Gudkov, D.I."],"funder":["Natural Environment Research Council"],"givenName":["Neil","N.","J.T.","A.","L.L.","D.I."],"identifier":"47f036c4-e319-4825-9cb8-f27977eb20dd","incomingCitationCount":1,"keyword":["Radioecology","Asellus aquaticus"],"keywordsOther":["Asellus aquaticus"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"The data comprises a series of experiments to assess the impacts of chronic radiation exposure at Chernobyl on the development, reproduction and genetic diversity of the freshwater crustacean, Asellus aquaticus. Field samples were collected from six lakes of varying contamination in Belarus and the Ukraine in 2015 and 2016 using kick netting and immediately preserved in ethanol and returned to the Institute of Marine Sciences, University of Portsmouth. Development was assessed using the fluctuating asymmetry technique, which assesses deviations from the expected perfect bilateral symmetry of an organism. Presented data is the results of the FA2 assay: FA2 = mean [| R − L | / (R + L) / 2)] where R and L represent measures of the right and left side of the organism in µm respectively. Measurements were conducted blind using Image J (v1.48) on randomly coded images obtained using a Leica DFC130 camera. Data is provided for two sampling periods; 2015 and 2003-2005 (conducted by colleagues at the Belarusian National Academy of Sciences).  Reproduction was assessed by analysis of fecundity and the proportion of gravid females at each site. Data presented includes number of eggs, weight of eggs (in milligrams), female weight (in milligrams), weight-normalised egg numbers (in milligrams) and sampling dates. Weights were obtained using a Kern ABT 120-5DM analytical fine balance with a precision of ± 0.02 mg. Data is presented from two sampling years at six sites of varying contamination. Dose rates are also provided, calculated using ERICA based on deposition values at the corresponding site. Finally, genetic diversity was calculated following genotyping-by-sequencing analysis conducted at the genomic diversity facility, Cornell University, New York. Data provided includes a number of routinely used genetic diversity parameters calculated at both the individual level (inbreeding coefficient, F, observed and expected heterozygosity) and population level (Tajima’s D & Nucleotide Diversity). This data was generated using the UNEAK pipeline within TASSEL software (v 3.0) by bioinformatics analysists at Cornell University. Tajima’s D & Nucleotide were calculated using the PopGenome package in R Studio. ","locations":["POLYGON((30.042 50.912, 30.042 51.131, 30.602 51.131, 30.602 50.912, 30.042 50.912))"],"metadataDate":"2026-06-29T16:16:20.000Z","orcid":["https://orcid.org/0000-0001-9486-6654","https://orcid.org/0000-0002-0808-2739","https://orcid.org/0000-0001-5202-546X"],"organisation":["University of Portsmouth","National Academy of Sciences, Belarus","Institute of Hydrobiology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-10-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/47f036c4-e319-4825-9cb8-f27977eb20dd","10.5285/47f036c4-e319-4825-9cb8-f27977eb20dd","doi:10.5285/47f036c4-e319-4825-9cb8-f27977eb20dd"],"resourceType":"Dataset","ror":["https://ror.org/03ykbk197","https://ror.org/02j8pe645","https://ror.org/04y7jcj09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains morphological data from the isopod crustacean, Asellus aquaticus collected from Chernobyl affected areas of Belarus and Ukraine in 2015. This data was collected to calculate fluctuating asymmetry, a measure of developmental stability, in organisms…","state":"published","supplementalDescription":["Fuller, N., Smith, J.T., Nagorskaya, L.L., Gudkov, D.I., & Ford, A.T. (2017). Does Chernobyl-derived radiation impact the developmental stability of Asellus aquaticus 30 years on? Science of The Total Environment, 576, 242–250. ","Fuller, N., Lerebours, A., Smith, J.T., & Ford, A.T. (2015). The biological effects of ionising radiation on Crustaceans: A review. Aquatic Toxicology, 167, 55–67.","Fuller, N., Ford, A.T., Nagorskaya, L.L., Gudkov, D.I., & Smith, J.T. (2018). Reproduction in the freshwater crustacean Asellus aquaticus along a gradient of radionuclide contamination at Chernobyl. Science of The Total Environment, 628–629, 11–17"],"title":"Impacts of chronic radiation exposure on reproduction, development and genetic diversity of the freshwater crustacean Asellus aquaticus at Chernobyl","topic":["0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Liverpool","The University of Hong Kong","Natural History Museum"],"authorFamilyName":["Law","Ashton","Griffiths","Eggleton","Parr"],"authorFullName":["Law, S.J.","Ashton, L.","Griffiths, H.","Eggleton, P.","Parr, C."],"authorGivenName":["S.J. ","L. ","H. ","P.","C."],"authorOrcid":["https://orcid.org/0000-0002-8362-4702","https://orcid.org/0000-0001-6471-0827","https://orcid.org/0000-0002-4800-8031","https://orcid.org/0000-0002-1420-7518","https://orcid.org/0000-0003-1627-763X"],"authorRor":["https://ror.org/04xs57h96","https://ror.org/02zhqgq86"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset measures the decomposition of experimental wood blocks, Pinus radiata, over a period of one year in lowland, old growth, tropical rainforest. Wood blocks are placed on the ground or suspended above the ground in mesh bags that either allow or prevent entry of macro-invertebrates.  The decomposition of ground placed wood blocks is measured during a period of drought and non-drought. Dry weight of wood blocks is measured at the start and end of the year and proportional weight loss is calculated. Accompanying decomposition data is a data set measuring temperature and relative humidity at 5 m vertical intervals from the ground to the canopy. This data is a contribution from the UK NERC-funded Biodiversity And Land-use Impacts on Tropical Ecosystem Function (BALI) consortium (http://bali.hmtf.info).","documentType":"GEMINI_DOCUMENT","familyName":["Law","Ashton","Griffiths","Eggleton","Parr"],"fullName":["Law, S.","Law, S.J.","Ashton, L.","Griffiths, H.","Eggleton, P.","Parr, C."],"funder":["Natural Environment Research Council"],"givenName":["Stephanie","S.J. ","L. ","H. ","P.","C."],"identifier":"01034680-e640-44a2-aab6-2044b4672a95","incomingCitationCount":1,"keyword":["tropical rain forest","decomposition"],"keywordsOther":["tropical rain forest","decomposition"],"licence":"Open government licence","lineage":"Twelve 50 m x 50 m experimental plots were located in lowland, tropical rainforest in Maliau Basin Conservation Area (MBCA), this included: four control plots, four ant suppression plots and four termite suppression plots. In ant suppression plots ground-dwelling ants were suppressed and in termite suppression plots ground-dwelling termites were suppressed. All plots were established in October 2014 and suppression of ants and termites was maintained until October 2017. From 2015 to 2016 an El-Niño Southern Oscillation event caused drought in this study area. \nWood blocks were placed on the ground and suspended at different heights above ground across all 12 experimental plots from 2016 to 2017 and left for between 349 and 365 days. Wood blocks were also placed on the ground across all control plots and termite suppression plots during a period of drought (from 2015 to 2016) and left for 365 days. All wood blocks were placed in mesh bags that either excluded macro-invertebrates or allowed macro-invertebrates access to the wood block. For wood blocks placed from 2016 to 2017, a visual score of between 0 and 4 was assigned to each wood block to describe fungal damage and termite damage. All wood blocks were dried and proportional weight loss calculated using the same method. Temperature and humidity data was measured over a period of 5 days in each control plot during 2016. \n","locations":["POLYGON((116.016 4.159, 116.016 4.705, 117.016 4.705, 117.016 4.159, 116.016 4.159))"],"metadataDate":"2026-06-29T16:54:43.000Z","orcid":["https://orcid.org/0000-0002-8362-4702","https://orcid.org/0000-0001-6471-0827","https://orcid.org/0000-0002-4800-8031","https://orcid.org/0000-0002-1420-7518","https://orcid.org/0000-0003-1627-763X"],"organisation":["University of Liverpool","The University of Hong Kong","Natural History Museum","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/01034680-e640-44a2-aab6-2044b4672a95","10.5285/01034680-e640-44a2-aab6-2044b4672a95","doi:10.5285/01034680-e640-44a2-aab6-2044b4672a95"],"resourceType":"Dataset","ror":["https://ror.org/04xs57h96","https://ror.org/02zhqgq86","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset measures the decomposition of experimental wood blocks, Pinus radiata, over a period of one year in lowland, old growth, tropical rainforest. Wood blocks are placed on the ground or suspended above the ground in mesh bags that either allow or prevent entry…","state":"published","title":"Wood decomposition data from an experiment in Malaysian Borneo, 2015-2018","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Strathclyde"],"authorFamilyName":["Wadkin-Snaith","Mulheran","Johnston"],"authorFullName":["Wadkin-Snaith, D.","Mulheran, P.","Johnston, K."],"authorGivenName":["D.","P.","K."],"authorOrcid":["https://orcid.org/0000-0002-9469-8010","https://orcid.org/0000-0002-5817-3479"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII","Plain text"],"description":"This dataset provides input files for LAMMPS open access molecular dynamics software ( https://www.lammps.org/ ) and contains simulation details, force field parameters, and topology information for polymer crystallisation at a surface that will enable a researcher to replicate the molecular dynamics simulations. ","documentType":"GEMINI_DOCUMENT","familyName":["Wadkin-Snaith","Mulheran","Johnston"],"fullName":["Wadkin-Snaith, D.","Mulheran, P.","Johnston, K."],"funder":["Natural Environment Research Council"],"givenName":["D.","P.","K."],"grant":["NE/V010603/1"],"identifier":"25fc1140-07bf-424a-a32c-87dbba9c426a","incomingCitationCount":0,"keyword":["Modelling","Polymers","Surfaces","Molecular dynamics simulations"],"keywordsOther":["Polymers","Surfaces","Molecular dynamics simulations"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"Input files were created by researchers. The model parameters were based on the well-known Kremer-Grest model and were modified to include an angle potential and some attractive non-bonded parameters as outlined in the publication: https://doi.org/10.1016/j.polymer.2023.126113\n","metadataDate":"2026-06-29T16:15:46.000Z","orcid":["https://orcid.org/0000-0002-9469-8010","https://orcid.org/0000-0002-5817-3479"],"organisation":["University of Strathclyde","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/25fc1140-07bf-424a-a32c-87dbba9c426a","10.5285/25fc1140-07bf-424a-a32c-87dbba9c426a","doi:10.5285/25fc1140-07bf-424a-a32c-87dbba9c426a"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Strathclyde"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides input files for LAMMPS open access molecular dynamics software ( https://www.lammps.org/ ) and contains simulation details, force field parameters, and topology information for polymer crystallisation at a surface that will enable a researcher…","state":"published","supplementalName":["Filler-induced heterogeneous nucleation of polymer crystals investigated by molecular dynamics simulations"],"title":"Simulation details, force field parameters, and topology information for use in LAMMPS software for molecular dynamics simulations of polymer crystallisation at a surface","topic":["0/Modelling/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Oxford","INRA","Centre for Ecology & Hydrology","Forest Research"],"authorFamilyName":["Field","Castagneyrol","Gibbs","Jactel","Barsoum","Schönrogge","Hector"],"authorFullName":["Field, E.","Castagneyrol, B.","Gibbs, M.","Jactel, H.","Barsoum, N.","Schönrogge, K.","Hector, A."],"authorGivenName":["E.","B.","M.","H.","N.","K.","A."],"authorOrcid":["https://orcid.org/0000-0002-5669-5046","https://orcid.org/0000-0001-8795-7806","https://orcid.org/0000-0002-4091-9789","https://orcid.org/0000-0002-8106-5310","https://orcid.org/0000-0003-0122-6493","https://orcid.org/0000-0002-1309-7716"],"authorRor":["https://ror.org/052gg0110","https://ror.org/00pggkr55","https://ror.org/03wcc3744"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set consists of data collected from one field season (2018) from the ORPHEE tree diversity experiment run by INRA Bordeaux in SW France. Data was collected on tree traits (tree height, shoot length), abundance of leaf miners, damage by leaf chewers, and leaf damage by oak powdery mildew, a foliar fungal pathogen. Data was collected from plots differing in tree species richness and drought treatment.","documentType":"GEMINI_DOCUMENT","familyName":["Field","Castagneyrol","Gibbs","Jactel","Barsoum","Schönrogge","Hector"],"fullName":["Field, E.","Castagneyrol, B.","Gibbs, M.","Jactel, H.","Barsoum, N.","Schönrogge, K.","Hector, A."],"givenName":["Elsa","E.","B.","M.","H.","N.","K.","A."],"identifier":"35bb7278-a5c4-4819-9b1a-efa84a479d68","incomingCitationCount":0,"keyword":["Environmental survey","irrigated","non-irrigated","insect herbivory","primary shoots","powdery mildew","lammas shoots"],"keywordsOther":["irrigated","non-irrigated","insect herbivory","primary shoots","powdery mildew","lammas shoots"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data was entered manually into Excel from datasheets, followed by checking visually using graphs for outliers / missing values, as well as using the df_status() function from the funModeling package in R to check for missing values and NAs.","locations":["POLYGON((-0.845 44.709, -0.845 44.76, -0.762 44.76, -0.762 44.709, -0.845 44.709))"],"metadataDate":"2026-06-29T16:37:56.000Z","orcid":["https://orcid.org/0000-0002-5669-5046","https://orcid.org/0000-0001-8795-7806","https://orcid.org/0000-0002-4091-9789","https://orcid.org/0000-0002-8106-5310","https://orcid.org/0000-0003-0122-6493","https://orcid.org/0000-0002-1309-7716"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","INRA","Centre for Ecology & Hydrology","Forest Research"],"publicationDate":"2019-07-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/35bb7278-a5c4-4819-9b1a-efa84a479d68","10.5285/35bb7278-a5c4-4819-9b1a-efa84a479d68","doi:10.5285/35bb7278-a5c4-4819-9b1a-efa84a479d68"],"resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193","https://ror.org/00pggkr55","https://ror.org/03wcc3744"],"shortenedDescription":"This data set consists of data collected from one field season (2018) from the ORPHEE tree diversity experiment run by INRA Bordeaux in SW France. Data was collected on tree traits (tree height, shoot length), abundance of leaf miners, damage by leaf chewers, and leaf…","state":"published","title":"Tree trait, insect herbivore abundance and powdery mildew infection data (2018) from a tree diversity experiment in south-west France","topic":["0/Environmental survey/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Edinburgh","Anofa Engineering, Planning and Informatics Ltd.","University College London","University of Bristol","University of Glasgow","University of Leeds"],"authorFamilyName":["McCloskey","Menteşe","Cremen","Gentile","Galasso","Filippi","Jenkins","Creed","Watson","Sinclair","Pelling"],"authorFullName":["McCloskey, J.","Menteşe, E.Y.","Cremen, G.","Gentile, R.","Galasso, C.","Filippi, M.E.","Jenkins, L.","Creed, M.","Watson, C.S.","Sinclair, H.","Pelling, M."],"authorGivenName":["J.","Emin Yahya","G.","R.","C.","M.E.","L.","M.","C.S.","H."],"authorOrcid":["https://orcid.org/0000-0002-7187-4384","https://orcid.org/0000-0002-6699-7312","https://orcid.org/0000-0002-7682-4490","https://orcid.org/0000-0001-5445-4911","https://orcid.org/0000-0001-6182-9208","https://orcid.org/0000-0003-0422-4063","https://orcid.org/0000-0001-6694-8994","https://orcid.org/0000-0003-2656-961X","https://orcid.org/0000-0003-4719-7130","https://orcid.org/0000-0002-6472-9875"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/02jx3x895","https://ror.org/0524sp257","https://ror.org/00vtgdb53","https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)","TIFF","json"],"description":"This dataset contains a digital urban scenario, named Tomorrowville, that is developed as a testbed for multi-hazard risk assessments and to evaluate the performance of urbanisation scenarios. Tomorrowville was created to represent a global-south urban setting by means of its socio-economic and physical aspects. It covers an area of 500ha located south of Kathmandu (Nepal).  The dataset consists of 5 different data types:\n\n-\tBuildings: Data representing the building footprints for today and 50 years from now including specific attributes to be used within multi-hazard risk assessments.\n-\tLand uses: Data representing the land use information for today and 50 years from now.\n-\tVulnerability: Tabular files that contain vulnerability functions for buildings under earthquake and flood hazards.\n-\tHousehold: Data that contains social attributes of the Tomorrowville, such as the level of education, age, gender and working status of the individuals and their states in the households.\n-\tHazards: Data representing the hazards (earthquake (eq), floods (fl) and debris flows (df) that may impact the case study areas of Tomorrowville.\n\nObservational data of the built environment and socio-economical properties of Kathmandu and Nairobi were used in addition to synthetic social data to create the initial scenario. This is a synthetic social dataset, meaning it was derived from existing population projections and distributions for the testbed but does not reflect the reality on the ground. It is synthetically created using specific algorithms in a GIS environment to represent a Global South social context.\n\nFor the building data, Open Street Map (OSM) database is used as a basis. The data is scraped from OSM and modified to represent an urban context for Tomorrowville. The attributes are also modified to be able to use in a multi-hazard risk computation. A taxonomy string is generated for each building that represents an acronym for its building code level, number of storeys, occupation type and structural system. The hazards that were existing in the selected spatial extent were earthquake, flood, and debris flow. Hazard data represents an intensity measure for the relevant hazard type (ground acceleration for earthquake, flow velocity for the flood and debris flow hazards). The following hazard input data are included:\n\n-\tFor the flood simulations, the discharge and rainfall time series are generated based on moderate to peak daily data based on recorded data from the Department of Hydrology and Meteorology, Nepal.\n-\tEarthquake hazard sources are generated and simulated by Jenkins et al. (2023).\n-\tFor the debris-flow and flood simulations tri-stereo Pleiades satellite imagery is used to produce a 2m resolution Digital Elevation Model.\n\nThe work to create this dataset is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1)","documentType":"GEMINI_DOCUMENT","familyName":["Menteşe","McCloskey","Cremen","Gentile","Galasso","Filippi","Jenkins","Creed","Watson","Sinclair","Pelling"],"fullName":["Menteşe, E.Y.","McCloskey, J.","Cremen, G.","Gentile, R.","Galasso, C.","Filippi, M.E.","Jenkins, L.","Creed, M.","Watson, C.S.","Sinclair, H.","Pelling, M."],"funder":["Natural Environment Research Council"],"givenName":["Emin Yahya","J.","G.","R.","C.","M.E.","L.","M.","C.S.","H."],"grant":["NE/S009000/1"],"identifier":"8b5834a5-ae8a-4f24-836c-16fab961aeb3","incomingCitationCount":0,"keyword":["GCRF Urban Disaster Risk Hub","Environmental risk","GIS digital format","exposure","multi-hazard","city","virtual","testbed","Tomorrowville","risk assessment"],"keywordsOther":["GIS digital format","exposure","multi-hazard","city","virtual","testbed","Tomorrowville","risk assessment"],"keywordsProject":["GCRF Urban Disaster Risk Hub"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"As an interdisciplinary process, knowledge and perspective of different disciplines helped us shape the characteristics holistically and enabled us to construct a comprehensive understanding of the testbed. By bringing qualitative and quantitative approaches together, it became possible to integrate both social and physical characteristics with the facilitation of urban planning and GIS disciplines. The development of Tomorrowville started in June 2021. Between June and December 2021, there have been around 30 inter-disciplinary online meetings within our research group regarding the development of Tomorrowville. The team consisted of 2 structural engineers, 4 geoscientists, 4 social scientists and a GIS expert with an urban planning background. Local researchers from Kathmandu and Nairobi had structural engineering and urban planning expertise and they provided insight into our approach which enabled us to be more realistic in terms of the spatial context we represent within Tomorrowville.\n\nThe building footprints are derived from some sample data gathered from Open Street Map database and modified to fit the aims of the dataset. The exposure data is synthetic. All flood simulations are generated using Caesar-Lisflood, a landscape evolution model (LEM) that combines the hydrological and surface flow model, Lisflood-FP (Bates et al. 2010), with the CAESAR landscape evolution model (Coulthard et al. 2013). For landslide analysis digital elevation model from tri-stereo Pleiades satellite imagery is benefited. For debris-flow analysis, rainfall-driven LaharFlow dynamic hazard model is used. The vulnerability data are produced based on consultation with local partners and global vulnerability databases such as Joint Research Center’s “Global flood depth-damage functions: Methodology and the database with guidelines”.\n\nThe synthetic social data was produced through bespoke algorithms that considered population characteristics and projections relevant for the area. These algorithms are developed to generate a population that would live in future urban scenario within the designed built environment. The algorithms were coded in MATLAB software environment.","locations":["POLYGON((85.28 27.656, 85.28 27.745, 85.365 27.745, 85.365 27.656, 85.28 27.656))"],"metadataDate":"2026-06-29T16:02:56.000Z","orcid":["https://orcid.org/0000-0002-7187-4384","https://orcid.org/0000-0002-6699-7312","https://orcid.org/0000-0002-7682-4490","https://orcid.org/0000-0001-5445-4911","https://orcid.org/0000-0001-6182-9208","https://orcid.org/0000-0003-0422-4063","https://orcid.org/0000-0001-6694-8994","https://orcid.org/0000-0003-2656-961X","https://orcid.org/0000-0003-4719-7130","https://orcid.org/0000-0002-6472-9875"],"organisation":["Anofa Engineering, Planning and Informatics Ltd","University of Edinburgh","Anofa Engineering, Planning and Informatics Ltd.","University College London","University of Bristol","University of Glasgow","University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b5834a5-ae8a-4f24-836c-16fab961aeb3","10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3","doi:10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/02jx3x895","https://ror.org/0524sp257","https://ror.org/00vtgdb53","https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a digital urban scenario, named Tomorrowville, that is developed as a testbed for multi-hazard risk assessments and to evaluate the performance of urbanisation scenarios. Tomorrowville was created to represent a global-south urban setting by means…","state":"published","supplementalDescription":["Gentile, R., Cremen, G., Galasso, C., Jenkins, L. T., Manandhar, V., Menteşe, E. Y., Guragain, R., & McCloskey, J. (2022). Scoring, selecting, and developing physical impact models for multi-hazard risk assessment. In International Journal of Disaster Risk Reduction (Vol. 82, p. 103365). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2022.103365","Jenkins, L. T., Creed, M. J., Tarbali, K., Muthusamy, M., Trogrlić, R. Š., Phillips, J. C., Watson, C. S., Sinclair, H. D., Galasso, C., & McCloskey, J. (2023). Physics-based simulations of multiple natural hazards for risk-sensitive planning and decision making in expanding urban regions. In International Journal of Disaster Risk Reduction (Vol. 84, p. 103338). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2022.103338","Menteşe, E. Y., Cremen, G., Gentile, R., Galasso, C., Filippi, M. E., & McCloskey, J. (2023). Future exposure modelling for risk-informed decision making in urban planning. In International Journal of Disaster Risk Reduction (Vol. 90, p. 103651). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2023.103651"],"title":"Virtual urban testbed representing a Global South urban setting based on Nairobi, Kenya and Kathmandu, Nepal contexts","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Henrys","Keith","Robinson","Emmett"],"authorFullName":["Henrys, P.A.","Keith, A.M.","Robinson, D.A.","Emmett, B.A."],"authorGivenName":["P.A.","A.M.","D.A.","B.A."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset presents estimates of mean values within selected habitats and parent material characteristics made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach (see Scott, 2008 for further details of similar statistical analysis - http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf ). Countryside Survey topsoil carbon data is representative of 0-15 cm soil depth and includes Loss-on-ignition (%), Carbon concentration (g kg-1) and Carbon density (t ha-1). A total of 2614 cores from 591 1km x 1km squares across Great Britain were collected and analysed in 2007 (see Emmett et al. 2010 for further details of sampling and methods http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf ). Loss-on-ignition (LOI) was determined by combustion of 10g dry soil at 375 deg C for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55, and carbon density was estimated by combining carbon concentration with bulk density estimates. The estimated means of habitat/parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. The parent material characteristic used was that which minimised AIC in each model (see Supporting Information). Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat/parent material combinations were insufficient to estimate mean values. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK.","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Henrys","Robinson","Emmett"],"fullName":["Keith, A.M.","Henrys, P.A.","Robinson, D.A.","Emmett, B.A."],"givenName":["A.M.","P.A.","D.A.","B.A."],"identifier":"9e4451f8-23d3-40dc-9302-73e30ad3dd76","incomingCitationCount":6,"keyword":["Countryside Survey","Soil","Broad Habitat","Loss on ignition","Parent Material Model","organic matter","loss on ignition","carbon","habitat","soil"],"keywordsOther":["Broad Habitat","Loss on ignition","Parent Material Model","organic matter","loss on ignition","carbon","habitat","soil"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data used are taken from the Countryside Survey Soils Report (Emmett et al. 2010) which can be found at http://nora.nerc.ac.uk/id/eprint/9354/1/CS_UK_2007_TR9.pdf","locations":["POLYGON((-8.67 49.41, -8.67 59.85, 3.04 59.85, 3.04 49.41, -8.67 49.41))"],"metadataDate":"2026-06-30T16:32:02.000Z","orcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2012-03-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1332952419801","CEH:EIDC::1332952419801","https://catalogue.ceh.ac.uk/id/9e4451f8-23d3-40dc-9302-73e30ad3dd76","10.5285/9e4451f8-23d3-40dc-9302-73e30ad3dd76","doi:10.5285/9e4451f8-23d3-40dc-9302-73e30ad3dd76"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents estimates of mean values within selected habitats and parent material characteristics made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach (see Scott, 2008 for further details of similar statistical analysis…","state":"published","supplementalDescription":["Emmett, B.A., Reynolds, B., Chamberlain, P.M., Rowe, E., Spurgeon, D., Brittain, S.A., Frogbrook, Z., Hughes, S., Lawlor, A.J., Poskitt, J., Potter, E., Robinson, D.A., Scott, A., Wood, C., Woods, C. (2010).  Countryside Survey: Soils Report from 2007. Technical Report No. 9/07. NERC/Centre for Ecology & Hydrology 192pp. (CEH Project Number: C03259).","Scott, W.A. (2008). Countryside Survey: Statistical Report. Technical Report No. 4/07. NERC/Centre for Ecology & Hydrology."],"supplementalName":["Countryside Survey Soils Report from 2007","Countryside Survey Statistical Report"],"title":"Model estimates of topsoil carbon [Countryside Survey]","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Morrison","Cooper","Cumming","Evans","Thornton","Winterbourn","Rylett","Jones"],"authorFullName":["Morrison, R.","Cooper, H.","Cumming, A.M.J.","Evans, C.","Thornton, J.","Winterbourn, J.B.","Rylett, D.","Jones, D.L."],"authorGivenName":["R.","H.","A.M.J.","C. ","J. ","J.B.","D. ","D.L."],"authorOrcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-1318-5281","https://orcid.org/0000-0002-1482-4209"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at two managed lowland peatland environments in the East Anglian Fens, England, UK. One site is managed for the production of horticultural salad crops, the other is an area of managed grassland. \n\nTurbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 10th November 2016 and 25th September 2018 at the cropland site, and between 27th April 2017 and 31st March 2019 at the grassland. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations.","documentType":"GEMINI_DOCUMENT","familyName":["Morrison","Cooper","Cumming","Evans","Thornton","Winterbourn","Rylett","Jones"],"fullName":["Morrison, R.","Cooper, H.","Cumming, A.M.J.","Evans, C.","Thornton, J.","Winterbourn, J.B.","Rylett, D.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["R.","H.","A.M.J.","C. ","J. ","J.B.","D. ","D.L.","Ross"],"identifier":"2fe84b80-117a-4b19-a1f5-71bbd1dba9c9","incomingCitationCount":2,"keyword":["East Anglia","Climate and climate change","Soil","carbon dioxide","peat","soil","grassland"],"keywordsOther":["carbon dioxide","peat","soil","grassland"],"keywordsPlace":["East Anglia"],"keywordsTheme":["Climate and climate change","Soil"],"licence":"Open government licence","lineage":"Eddy covariance (EC) and micrometeorological observations were made using open-path eddy covariance systems. Ancillary meteorological and soil physics observations were co-located with the eddy covariance stations.\n\nTurbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 6.1.\n\nQuality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly. \n\nData gaps in EC data (NEE, LE, H) and the partitioning of NEE into gross ecosystem production and total ecosystem production were performed using the REddyProc Package for R (Reichstein et al., 2019).\n\nFurther details are available in the supporting documentation accompanying the data.","locations":["POLYGON((-0.187 52.486, -0.187 52.547, -0.051 52.547, -0.051 52.486, -0.187 52.486))"],"metadataDate":"2026-06-29T18:29:46.000Z","orcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-1318-5281","https://orcid.org/0000-0002-1482-4209"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9","10.5285/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9","doi:10.5285/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at two managed lowland peatland environments in the East Anglian Fens, England,…","state":"published","title":"Eddy covariance measurements of carbon dioxide, energy and water fluxes at a cropland and a grassland on lowland peat soils, East Anglia, UK, 2016-2019","topic":["0/Climate and climate change/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Stirling","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Burrows","Copplestone","Beresford","Raines","Tinsley"],"authorFullName":["Burrows, J.","Copplestone, D.","Beresford, N.A.","Raines, K.","Tinsley, M."],"authorGivenName":["J.","D.","N.A.","K.","M."],"authorOrcid":["https://orcid.org/0000-0002-0239-4053","https://orcid.org/0000-0002-1468-9545","https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-7864-0126","https://orcid.org/0000-0002-7715-1259"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the volume of nectar consumed, metabolic rate and activity of bumblebees that were exposed to environmentally relevant dose rates of ionising radiation at the University of Stirling. Data is for two connected experiments collected via direct observation in a laboratory setting. The first experiment investigates variables during and after 10-days of radiation exposure and the second investigates these variables under a dose rate gradient.\n\nFunding for this work was via the TREE project funded by the NERC, Environment Agency and Radioactive Waste Management Ltd. under the RATE programme.","documentType":"GEMINI_DOCUMENT","familyName":["Burrows","Copplestone","Beresford","Raines","Tinsley"],"fullName":["Burrows, J.","Copplestone, D.","Beresford, N.A.","Raines, K.","Tinsley, M."],"funder":["Natural Environment Research Council"],"givenName":["J.","D.","N.A.","K.","M.","Jess"],"identifier":"0da32d7f-eea1-4200-8fde-3a32d0d9ed05","incomingCitationCount":0,"keyword":["Radioecology","Ionising radiation","Life history","Insects","Resource allocation","Pollinator","Energy budget","Eco-toxicology","Radiological contamination"],"keywordsOther":["Ionising radiation","Life history","Insects","Resource allocation","Pollinator","Energy budget","Eco-toxicology","Radiological contamination"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"All data were generated by the authors. Radiation dose rates were verified using dosimeters that were placed at each bumblebee position prior to the experiment. Environmental variables such as temperature and humidity were monitored with nine data loggers before, during and after the experiment. All calculations were checked for errors before data was accepted.","metadataDate":"2026-06-29T18:28:53.000Z","orcid":["https://orcid.org/0000-0002-0239-4053","https://orcid.org/0000-0002-1468-9545","https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-7864-0126","https://orcid.org/0000-0002-7715-1259"],"organisation":["University of Stirling","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-04-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0da32d7f-eea1-4200-8fde-3a32d0d9ed05","10.5285/0da32d7f-eea1-4200-8fde-3a32d0d9ed05","doi:10.5285/0da32d7f-eea1-4200-8fde-3a32d0d9ed05"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on the volume of nectar consumed, metabolic rate and activity of bumblebees that were exposed to environmentally relevant dose rates of ionising radiation at the University of Stirling. Data is for two connected experiments collected…","state":"published","title":"Nectar consumption, metabolic rate and activity datasets for bumblebees exposed to ecologically relevant radiation dose rates","topic":["0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"altTitle":["Effects of scale in organic agriculture - ecology data, 2006-2010"],"availability":"Available","catalogue":"eidc","dataFormat":["Microsoft Excel","Comma-separated values (CSV)"],"description":"This dataset consists of ecology data from 16 paired field sites; each pair consisting of an organic and conventional farm. A multiscale sampling design was employed to assess the impact of (i) location-within-field (field margin vs. edge vs. centre), (ii) crop type (arable cereal vs. permanent pasture), (iii) farm management (organic vs. conventional) and (iv) landscape-scale management (landscapes that contained low or high fractions of organic land) on a wide range of taxa. Studied taxa include birds, insect pollinators (hoverflies, bumblebees and solitary bees), epigeal arthropods, aphids and their natural enemies, earthworms and plants. The study is part of the NERC Rural Economy and Land Use (RELU) programme. A move to organic farming can have significant effects on wildlife, soil and water quality, as well as changing the ways in which food is supplied, the economics of farm business and indeed the attitudes of farmers themselves. Two key questions were addressed in the SCALE project: what causes organic farms to be arranged in clusters at local, regional and national scales, rather than be spread more evenly throughout the landscape; and how do the ecological, hydrological, socio-economic and cultural impacts of organic farming vary due to neighbourhood effects at a variety of scales. The research was undertaken in 2006-2007 in two study sites: one in the English Midlands, and one in southern England. Both are sites in which organic farming has a 'strong' local presence, which we defined as 10 per cent or more organically managed land within a 10 km radius. Potential organic farms were identified through membership lists of organic farmers provided by two certification bodies (the Soil Association and the Organic Farmers and Growers). Most who were currently farming (i.e. their listing was not out of date) agreed to participate. Conventional farms were identified through telephone listings. Respondents' farms ranged in size from 40 to 3000 acres, with the majority farming between 100 and 1000 acres. Most were mixed crop-livestock farmers, with dairy most common in the southern site, and beef and/or sheep mixed with arable in the Midlands. In total, 48 farms were studied, of which 21 were organic farmers. No respondent had converted from organic to conventional production, whereas 17 had converted from conventional to organic farming. Twelve of the conventional farmers defined themselves as practicing low input agriculture. Farmer interview data from this study are available at the UK Data Archive under study number 6761.  Soil data from agricultural land under differing crop and management regimes,are also available.  Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see Supplemental).","documentType":"GEMINI_DOCUMENT","familyName":["Gabriel","Benton","Kunin","Stagl","Sait","Van Den Eynden"],"fullName":["Gabriel, D.","Benton, T.","Kunin, B.","Stagl, S.","Sait, S.","Van Den Eynden, V."],"funder":["Economic and Social Research Council"],"givenName":["Doreen","Tim","Bill","Sigrid","Steve","Veerle"],"identifier":"010bcde5-e4f3-4b48-a2f4-53cdc9083c02","incomingCitationCount":0,"keyword":["farmland birds","pollinators","hoverflies","bumblebees","solitary wild bees","epigeal arthropods","aphids","natuaral enemies","earthworms","farmland plants","2006-2010","Effects of Scale in Organic Agriculture","Rural Economy and Land Use Programme","insect"],"keywordsOther":["insect"],"keywordsTheme":["farmland birds","pollinators","hoverflies","bumblebees","solitary wild bees","epigeal arthropods","aphids","natuaral enemies","earthworms","farmland plants","2006-2010","Effects of Scale in Organic Agriculture","Rural Economy and Land Use Programme"],"licence":"Non-Open government licence","lineage":"Botanical inventory and soil analyses on 42 selected case study farms with biodiverse grassland types: 12 lamb farms, 15 beef farms, 12 cheese farms, 3 control farms. Three grassland communities (mesotrophic, acid and calcareous) were so selected, represented by saltmarsh, moorland and heather for sheep farming; acid, calcareous and wet-neutral grasslands for beef farming; and circumneutral for on-farm cheese production. These were located using existing vegetation maps and surveys. For the botanical survey plant species were identified and their frequency recorded, as well as site and vegetation description, soil profile, soil depth, slope, aspect, stand area, sample area, mean height of layers of vegetation, altitude and geology. The data recorded on species cover and the calculated frequency class was then used to assign the assessed stand of vegetation to a published community or sub-community. For soil analyses 100 g soil samples were taken for each site to determine: ? sodium, potassium, calcium and magnesium in soil by ICP-AES ? phosphate-phosphorus in soil by colorimetry ? pH in soil and water. Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0006","locations":["POLYGON((-2.99 50.57, -2.99 53.85, 0.14 53.85, 0.14 50.57, -2.99 50.57))"],"metadataDate":"2026-06-29T15:33:58.000Z","organisation":["University of Leeds","University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Data Archive"],"publicationDate":"2012-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1310549740505","CEH:EIDC::1310549740505","https://catalogue.ceh.ac.uk/id/010bcde5-e4f3-4b48-a2f4-53cdc9083c02"],"resourceType":"Dataset","ror":["https://ror.org/024mrxd33","https://ror.org/00ayhx656","https://ror.org/04xw4m193","https://ror.org/03fknw408"],"shortenedDescription":"This dataset consists of ecology data from 16 paired field sites; each pair consisting of an organic and conventional farm. A multiscale sampling design was employed to assess the impact of (i) location-within-field (field margin vs. edge vs. centre), (ii) crop type…","state":"published","supplementalDescription":["Gabriel, D., Sait, S.M., Hodgson, J.A., Schmutz, U., Kunin, W.E. and Benton, T.G. 2010. Scale matters: the impact of organic farming on biodiversity at different spatial scales. Ecology Letters 13: 858-869."],"supplementalName":["RELU Knowledge Portal project page","ESDS catalogue record"],"title":"Flora and fauna data from agricultural land under differing crop and management regimes, 2006-2010 - RELU Effects of scale in organic agriculture","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["University of Cambridge","Bavarian State Institute of Forestry","Baruch Institute of Coastal Ecology and Forest Science","Centre de recherche sur les matériaux renouvelables","University of Melbourne","Institut Européen de la Forêt Cultivée"],"authorFamilyName":["Jackson","Wellpott","Van Bloem","Achim","James","Gardiner"],"authorFullName":["Jackson, T.","Wellpott, A.","Van Bloem, S.","Achim, A.","James, K.","Gardiner, B."],"authorGivenName":["T.","A.","S.","K. ","B."],"authorOrcid":["https://orcid.org/0000-0001-8143-6161"],"authorRor":["https://ror.org/013meh722","https://ror.org/01ej9dk98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Plain text"],"description":"This dataset contains high resolution measurements of tree motion in response to wind at six sites. The data was collected using sensors mounted directly onto the tree trunk.\n\nThe sites are: Rivox, Kershope, Kyloe and Clocaenog in the UK. Guanica in Puerto Rico and six open-grown trees from Australia.","documentType":"GEMINI_DOCUMENT","familyName":["Jackson","Wellpott","Van Bloem","Achim","James","Gardiner"],"fullName":["Jackson, T.","Wellpott, A.","Van Bloem, S.","Achim, A.","James, K.","Gardiner, B."],"funder":["Natural Environment Research Council"],"givenName":["Toby","T.","A.","S.","K. ","B.","K."],"grant":["NE/S010750/1"],"identifier":"fecff8c2-983e-4883-a0f8-ac65deba02cf","incomingCitationCount":0,"keyword":["Kyloe","Clocaenog","Guanica","Burnley","Sale","Kershope","Monash University","Mount Dandenong","Rivox","Eucalyptus tereticornis","Larix","Picea sitchensis","Coccoloba diversifolia","Exostema caribaeum","Gymnanthes lucida","Bourreria succulenta","Leucaena leucocephala","Amyris elemifera","Araucaria cunninghamii","Cupressus sempervirens","Washingtonia robusta","Agathis australis","Corymbia maculata","Eucalyptus regnans","Kauri","Mexican fan palm","Mediterranean cypress","Larch","Jumbay","tree","wind"],"keywordsOther":["Eucalyptus tereticornis","Larix","Picea sitchensis","Coccoloba diversifolia","Exostema caribaeum","Gymnanthes lucida","Bourreria succulenta","Leucaena leucocephala","Amyris elemifera","Araucaria cunninghamii","Cupressus sempervirens","Washingtonia robusta","Agathis australis","Corymbia maculata","Eucalyptus regnans","Kauri","Mexican fan palm","Mediterranean cypress","Larch","Jumbay","tree","wind"],"keywordsPlace":["Kyloe","Clocaenog","Guanica","Burnley","Sale","Kershope","Monash University","Mount Dandenong","Rivox"],"licence":"Open government licence","lineage":"The data in Rivox were collected using displacement sensors, all other sites used strain gauges. In the four UK sites, wind data were collected at 10 Hz using a 3D sonic anemometer on a tower at canopy height. Wind data for the trees in Australia were collected using a cup anemometer. No wind data was collected in Guanica.\n\nNo pre-processing, filtering or quality control has been conducted on these data. They have only been downloaded from the data loggers and merged into continuous time-series.\n\nThe data were used to estimate wind damage risk and no additional processing was needed.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T18:21:10.000Z","orcid":["https://orcid.org/0000-0001-8143-6161"],"organisation":["University of Cambridge","Bavarian State Institute of Forestry","Baruch Institute of Coastal Ecology and Forest Science","Centre de recherche sur les matériaux renouvelables","University of Melbourne","Institut Européen de la Forêt Cultivée","NERC EDS Environmental Information Data Centre","Forest Research"],"publicationDate":"2021-07-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fecff8c2-983e-4883-a0f8-ac65deba02cf","10.5285/fecff8c2-983e-4883-a0f8-ac65deba02cf","doi:10.5285/fecff8c2-983e-4883-a0f8-ac65deba02cf"],"resourceType":"Dataset","rightsHolder":["University of Melbourne","Baruch Institute of Coastal Ecology and Forest Science","Forest Research"],"ror":["https://ror.org/013meh722","https://ror.org/01ej9dk98","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains high resolution measurements of tree motion in response to wind at six sites. The data was collected using sensors mounted directly onto the tree trunk.\n\nThe sites are: Rivox, Kershope, Kyloe and Clocaenog in the UK. Guanica in Puerto Rico and…","state":"published","supplementalDescription":["Jackson, T.D., Sethi, S., Dellwik, E., Angelou, N., Bunce, A., van Emmerik, T., Duperat, M., Ruel, J.-C., Wellpott, A., Van Bloem, S., Achim, A., Kane, B., Ciruzzi, D.M., Loheide II, S.P., James, K., Burcham, D., Moore, J., Schindler, D., Kolbe, S., … Gardiner, B. (2021). The motion of trees in the wind: a data synthesis. Biogeosciences, 18(13), 4059–4072","James, K. R., Haritos, N., & Ades, P.K. (2006). Mechanical stability of trees under dynamic loads. American Journal of Botany, 93(10), 1522–1530","Gardiner, B.A., Stacey, G.R., Belcher, R. E., & Wood, C.J. (1997). Field and wind tunnel assessments of the implications of respacing and thinning for tree stability. Forestry, 70(3), 233–252","Hale, S.E., Gardiner, B.A., Wellpott, A. et al. Wind loading of trees: influence of tree size and competition. Eur J Forest Res 131, 203–217 (2012)"],"title":"Measurements of tree motion in the wind collated from multiple studies undertaken in the UK, Puerto Rico and Australia between 1987-2015","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham"],"authorFamilyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"authorFullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"authorGivenName":["P.","A. ","D.","G."],"authorOrcid":["https://orcid.org/0000-0002-3707-1182"],"authorRor":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"Data were collected in 2015, 2016 and 2017 to provide high resolution imagery for two sections of the South Saskatchewan River, Canada. Photographs were acquired using conventional aerial plane images with a 0.06m ground resolution, captured at a height of approximately 1500m from a fixed-wing aeroplane with an UltraCamXp sensor.\n\nImagery was obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight orthomosaics; one for each of the two river sections on each of the four dates.\n\nImages were collected as part of NERC project NE/L00738X/1.","documentType":"GEMINI_DOCUMENT","familyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"fullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"funder":["Natural Environment Research Council"],"givenName":["P.","A. ","D.","G.","Andrew"],"grant":["NE/L00738X/1"],"identifier":"7473d4f9-c9a7-40ad-9f58-e58e25997fc5","incomingCitationCount":0,"keyword":["Canada","South Saskatchewan River","river"],"keywordsPlace":["Canada","South Saskatchewan River","river"],"licence":"Open government licence","lineage":"This dataset consists of geolocated aerial orthomosaics of the South Saskatchewan River, near Outlook Canada (UTM Easting and Northing coordinates: 356500, 5712400; Latitude and Longitude: 51.5 N, 107.07 W). \nPhotography was acquired to provide high resolution imagery of the river bed and surrounding valley floor on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017) and for two separate sections of the river. Images were obtained using conventional aerial plane photography with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. \nThe orthomosaic was generated from the aerial photography (using up to 160 individual images for each orthomosaic) by automated image matching using the SfM program Pix4D (https://pix4d.com/) with the ‘large frame’ supplementary software package. Bundle adjustment was undertaken using Pix4D’s key point matching system optimised for aerial nadir imagery. Camera properties were specified using calibration certificates and were not allowed to vary during the calculation. \nThe orthomosaic image file includes UTM Easting and Northing coordinates that can be viewed by opening the image in a GIS or other image handling software.\n\n","locations":["POLYGON((-107.1 51.4, -107.1 51.6, -107 51.6, -107 51.4, -107.1 51.4))"],"metadataDate":"2026-06-29T16:10:05.000Z","orcid":["https://orcid.org/0000-0002-3707-1182"],"organisation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-10-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7473d4f9-c9a7-40ad-9f58-e58e25997fc5","10.5285/7473d4f9-c9a7-40ad-9f58-e58e25997fc5","doi:10.5285/7473d4f9-c9a7-40ad-9f58-e58e25997fc5"],"resourceType":"Dataset","ror":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Data were collected in 2015, 2016 and 2017 to provide high resolution imagery for two sections of the South Saskatchewan River, Canada. Photographs were acquired using conventional aerial plane images with a 0.06m ground resolution, captured at a height of approximately…","state":"published","supplementalDescription":["Orthomosaics were generated using the SfM program Pix4D "],"title":"Orthomosaic imagery for the South Saskatchewan River, Canada","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"authorFullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"authorGivenName":["M.","D.","T.","I.","Z."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored. The UKBMS started in 1976 with fewer than 50 sites. The number of sites monitored each year has increased to over a thousand since 2008. There is turnover in sites monitored each year and details of the first and last year in which each site was surveyed are given. The majority of site data is provided by recorders at the time a transect is created. The majority of these recorders are volunteers. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) collate the data and the UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC).","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"givenName":["M.","D.","T.","I.","Z."],"identifier":"03fbc322-967a-44aa-aab9-0281d9f53d84","incomingCitationCount":0,"keyword":["United Kingdom","England","Scotland","Wales","Northern Ireland","Biodiversity","butterfly","lepidopteran"],"keywordsOther":["butterfly","lepidopteran"],"keywordsPlace":["United Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Site location data provide details about the linear transect at each UKBMS site. Data on the location and length and width of each transect are provided by the recorder for each site. Data on how long each transect has been monitored is calculated as the time period between when a transect was first and last monitored.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T15:37:00.000Z","orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Butterfly Monitoring Scheme, Centre for Ecology & Hydrology","Butterfly Conservation","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-10-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1412700287835","CEH:EIDC::1412700287835","https://catalogue.ceh.ac.uk/id/03fbc322-967a-44aa-aab9-0281d9f53d84","10.5285/03fbc322-967a-44aa-aab9-0281d9f53d84","doi:10.5285/03fbc322-967a-44aa-aab9-0281d9f53d84"],"resourceType":"Dataset","ror":["https://ror.org/05jg03a59","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored.…","state":"published","supplementalDescription":["This is a web page which provides data for each butterfly species at each monitored site. It also provides links to reports, UKBMS related publications and to UKBMS statistics in addition to maps of sites."],"supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: site location data 2013","topic":["0/Biodiversity/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Griffiths","Puissant","Dos Santos Pereira","Goodall"],"authorFullName":["Griffiths, R.I.","Puissant, J.","Dos Santos Pereira, G.","Goodall, T.I."],"authorGivenName":["R.I.","J.","G.","T.I."],"authorOrcid":["https://orcid.org/0000-0002-3341-4547","https://orcid.org/0000-0003-3740-0019"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data are presented for soil state and environmental parameters of soil samples collected from paired intensive and extensive grassland systems, including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project staff experienced in soil core collection. Samples were subdivided for subsequent analysis of total Nitrogen, total Carbon, total organic Carbon, total Phosphorus, soil pH, soil moisture, loss on ignition, sand, silt, clay texture, Fourier-transform infrared spectroscopy (FT-IR) spectra and bulk density.\n\nThe data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Goodall","Griffiths","Puissant","Dos Santos Pereira"],"fullName":["Goodall, T.","Griffiths, R.I.","Puissant, J.","Dos Santos Pereira, G.","Goodall, T.I."],"funder":["Natural Environment Research Council"],"givenName":["Tim","R.I.","J.","G.","T.I."],"grant":["NE/M017125/1"],"identifier":"2a817dbf-097f-45b4-85bd-745f4e78e656","incomingCitationCount":0,"keyword":["U-GRASS","Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands","Soil","Physical parameters","Chemical parameters","Paired","total nitrogen","total carbon","total phosphorus","soil pH","LOI","clay texture","grassland","soil","silt","sand","total organic carbon","loss on ignition","soil moisture","land use"],"keywordsOther":["Physical parameters","Chemical parameters","Paired","total nitrogen","total carbon","total phosphorus","soil pH","LOI","clay texture","grassland","soil","silt","sand","total organic carbon","loss on ignition","soil moisture","land use"],"keywordsProject":["U-GRASS","Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Soil samples were collected from 32 grassland sites across the United Kingdom and stored frozen at –20 degrees Celsius prior to subsequent processing for chemical, physical, molecular and functional characteristics. Analysis was carried out for total Nitrogen, total Carbon, total organic Carbon, total Phosphorus (CEH Lancaster), soil pH, Fourier-transform infrared spectroscopy (FT-IR) spectra, bulk density (CEH Wallingford) , soil moisture, loss on ignition (CEH Lancaster and Wallingford), sand, silt, clay texture (NRM Laboratories). Results were returned from the laboratories compiled into an Excel spreadsheet. The compiled data set was exported as a comma separated value file for deposition into the EIDC.","locations":["POLYGON((-4.828 50.437, -4.828 56.249, 0.797 56.249, 0.797 50.437, -4.828 50.437))"],"metadataDate":"2026-06-29T16:41:28.000Z","orcid":["https://orcid.org/0000-0002-3341-4547","https://orcid.org/0000-0003-3740-0019"],"organisation":["NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology"],"publicationDate":"2019-09-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2a817dbf-097f-45b4-85bd-745f4e78e656","10.5285/2a817dbf-097f-45b4-85bd-745f4e78e656","doi:10.5285/2a817dbf-097f-45b4-85bd-745f4e78e656"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"Data are presented for soil state and environmental parameters of soil samples collected from paired intensive and extensive grassland systems, including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter…","state":"published","title":"Soil state and environmental parameters across geo-linked sampling locations on grassland, UK (2016)","topic":["0/Soil/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Fuller","Smith","Sanderson ","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson , J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorGivenName":["R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F."],"authorOrcid":["https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset consists of the vector version of the Land Cover Map 2000 for Northern Ireland, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26 LCM2000 target or ('sub') classes. This is the most widely used version of the dataset. Level 3 gives higher class detail. However, the quality of this level of detail may vary in different areas of the country, requiring expert interpretation. The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Wood","Fuller","Smith","Sanderson ","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"fullName":["Wood, C.","Fuller, R.M.","Smith, G.M.","Sanderson , J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"givenName":["Claire","R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F."],"identifier":"9f043047-d1c7-4852-b513-aa00204022a8","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Mapping","habitat","land cover","mapping"],"keywordsOther":["habitat","land cover","mapping"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"In a major development to earlier methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see on-line supporting documentation.","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-06-29T19:12:50.000Z","orcid":["https://orcid.org/0000-0001-5916-5174"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2002-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1287477917085","CEH:EIDC::1287477917085","https://catalogue.ceh.ac.uk/id/9f043047-d1c7-4852-b513-aa00204022a8","10.5285/9f043047-d1c7-4852-b513-aa00204022a8","doi:10.5285/9f043047-d1c7-4852-b513-aa00204022a8"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 2000 for Northern Ireland, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26…","state":"published","title":"Land Cover Map 2000 (vector, N.Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=14"}