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Soil mositure profiles were monitored during summer in 2013 and 2014 in Yukon and Northwest Territories. Monitored sites included peatland plateaus, unburnt and burnt black spruce forests, and additional sites.","documentType":"GEMINI_DOCUMENT","familyName":["Estop-Aragones","Fisher","Cooper","Thierry","Treharne","Murton","Phoenix","Charman","Williams","Hartley"],"fullName":["Estop-Aragones, C.","Fisher, J.P.","Cooper, M.A.","Thierry, A.","Treharne, R.","Murton, J.B.","Phoenix, G.K.","Charman, D.J.","Williams, M.","Hartley, I.P."],"givenName":["C.","J.P.","M.A.","A.","R.","J.B.","G.K.","D.J.","Mathew","I.P."],"identifier":"189900a4-f7a9-41bd-b6f5-eef694209f87","incomingCitationCount":0,"keyword":["Canada","Soil moisture","Peatland plateau","Burnt permafrost"],"keywordsOther":["Soil moisture","Peatland plateau","Burnt permafrost"],"keywordsPlace":["Canada"],"licence":"Open government licence","lineage":"Moisture was measured using a PR2 profile probe with 4 sensing elements at 10, 20, 30 and 40cm and a portable reading meter HH2 (Delta-T Devices Ltd, Cambridge, UK). Following the manufacturer instructions, access tubes were inserted in the soil using an augering kit to minimize disruption in the structure of the soil profile. The access tubes were initially placed as deep as thaw depth allowed and further inserted deeper as the active layer thickened. At time of measurement, the PR2 profile probe was connected to the reading meter, removed from the protective tube and inserted in the access tubes. Values of volumetric soil moisture (m3 m-3) were recorded from the meter using the default calibration.","locations":["POLYGON((-137 60, -137 64, -112 64, -112 60, -137 60))"],"metadataDate":"2026-09-15T08:41:54.000Z","orcid":["0000-0001-6117-5208"],"organisation":["University of Exeter","University of Sheffield","University of Edinburgh","University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/189900a4-f7a9-41bd-b6f5-eef694209f87","10.5285/189900a4-f7a9-41bd-b6f5-eef694209f87","doi:10.5285/189900a4-f7a9-41bd-b6f5-eef694209f87"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/01nrxwf90","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of soil moisture profiles from permafrost in subarctic Canada. Soil mositure profiles were monitored during summer in 2013 and 2014 in Yukon and Northwest Territories. Monitored sites included peatland plateaus, unburnt and burnt black spruce forests,…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Soil moisture profiles from permafrost in subarctic Canada","version":1.0,"view":["public","kath"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UK Pollinator Monitoring Scheme"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2020 (note that 2017 was a pilot year and has less data than subsequent years). This is version 2 of the dataset; the previous version contained some incorrect values for the summed totals of counted insect specimens, which have been corrected in this version.\n\nThis survey uses pan-traps positioned on transects within a randomly allocated set of 1 km squares in England, Scotland and Wales. The sample data contains information on the location of the traps, various environmental variables, and the total number of insect specimens collected. The occurrence data for insects contains records of all hoverflies and bees from the traps, identified (wherever possible) to species level. The occurrence data for flowers contains records of all forbs that are in flower within 2 metres of each pan-tap station. (In addition, Flower-Insect Timed Counts are carried out in the same 1 km squares, see separate dataset for these data.)\n\nThe UK Pollinator Monitoring Scheme is a partnership between the UK Centre for Ecology & Hydrology, Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, University of Reading and University of Leeds, working with the Bees, Wasps and Ants Recording Society, wider stakeholders and volunteer networks. PoMS in 2017-2020 has been jointly funded by Defra, the Welsh and Scottish Governments, JNCC and project partners.","documentType":"GEMINI_DOCUMENT","fullName":["UK Pollinator Monitoring Scheme"],"funder":["Natural Environment Research Council","Department for Environment Food and Rural Affairs","Welsh Government","Scottish Government","Department of Agriculture, Environment and Rural Affairs (DAERA, Northern Ireland)","Joint Nature Conservation Committee (JNCC)"],"grant":["NE/R016429/1"],"identifier":"2c43ba3c-d821-442c-989b-754451d72091","incomingCitationCount":0,"keyword":["Pollinators","Bees","Apidae","Floral resources","Hoverflies","Pan-traps","Syrphidae","Insects","Monitoring"],"keywordsOther":["Bees","Apidae","Floral resources","Hoverflies","Pan-traps","Syrphidae","Insects","Monitoring"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"Data is collected by PoMS volunteers and staff from up to 75 1 km squares, during four visits each summer, aiming for one visit in each month from May to August. There will be gaps in the data where a square cannot be visited during a particular year or month. At each visit, five pan-traps are positioned in a transect across the 1 km square, and left in position for approx. six hours. The insects trapped are returned to the PoMS laboratory, where all insects are sorted into main taxonomic groupings and counted, and all bees and hoverflies are passed to taxonomic experts for identification to species level where possible.\n\nData is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided that show plants in flower in the vicinity of the pan-traps; bee and hoverfly identifications are cross-checked by multiple taxonomists for all rare and apparently out-of-range occurrences, plus a random sample of other occurrences.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:32:35.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Bumblebee Conservation Trust","Butterfly Conservation","British Trust for Ornithology","Hymettus","Natural History Museum","University of Reading","University of Leeds","Department for Environment Food and Rural Affairs","Welsh Government","Scottish Government","Department of Agriculture, Environment and Rural Affairs of Northern Ireland","Joint Nature Conservation Committee"],"publicationDate":"2022-11-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2c43ba3c-d821-442c-989b-754451d72091","10.5285/2c43ba3c-d821-442c-989b-754451d72091","doi:10.5285/2c43ba3c-d821-442c-989b-754451d72091"],"resourceType":"Dataset","rightsHolder":["Bumblebee Conservation Trust","Butterfly Conservation","British Trust for Ornithology","Hymettus","Natural History Museum","University of Reading","University of Leeds","Department for Environment Food and Rural Affairs","Welsh Government","Scottish Government","Department of Agriculture, Environment and Rural Affairs of Northern Ireland","Joint Nature Conservation Committee","UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00wngta72","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/039zvsn29","https://ror.org/05v62cm79","https://ror.org/024mrxd33","https://ror.org/00tnppw48","https://ror.org/000wh6t45","https://ror.org/04v2xmd71","https://ror.org/01jksdf22","https://ror.org/05tzsrw37"],"shortenedDescription":"This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2020 (note that 2017 was a pilot year and has less data than subsequent years). This…","state":"published","supplementalName":["UK Pollinator Monitoring Scheme (PoMS)"],"temporalExtentText":"Data collected from 2017 to 2020","title":"Pan-trap survey data from the UK Pollinator Monitoring Scheme, 2017-2020 version 2","topic":["0/Pollinators/"],"version":2.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Sharps","Feeney","Bisht","Thomas","May"],"authorFullName":["Sharps, K.","Feeney, C.","Bisht, T.","Thomas, A.","May, L."],"authorGivenName":["Katrina","Christopher","Tarun","Amy","Linda"],"authorOrcid":["0000-0003-3265-1505","0000-0003-2175-1842","0000-0003-4963-6547","0000-0002-4929-7285","0000-0003-3385-9973"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","GeoPackage"],"description":"This dataset presents model predictions of soil erosion impacts on land and freshwater systems in the Lake Victoria Basin. These impacts include: (1) soil nutrient balances as a function of nitrogen (N) and phosphorus (P) loads to the land surface from fertiliser, manure and atmospheric deposition, minus rates of nutrient loss via soil erosion; and (2) total sediment and nutrient exports to water aggregated per sub-catchment (t/yr), which combines nutrients lost in surface runoff and subsurface flows with additional losses associated with erosion of existing soil nutrient stocks. These data are particularly useful for better understanding terrestrial N and P dynamics, and should provide valuable data for analysis of soil fertility, food security and water quality.\n\nThese data were generated for each year (2000, 2005, 2010, 2015 & 2022) using two models from the InVEST ecosystem services platform: the Nutrient Delivery Ratio (NDR) and Sediment Delivery Ratio (SDR) models. Each of these models relies on a set of simple empirical functions, which has the advantage of requiring few model inputs that are easy to provide and allow for rapid modelling of large spatial areas, but come with the disadvantage of missing potentially important processes. For example, the SDR model only considers soil erosion via rills and sheetwash; it does not capture gullies, landslides or river channel change. Additionally, it was not possible to calibrate either model due to a scarcity of observational data. However, the models do produce generally expected patterns of sediment and nutrient dynamics. Hence, the outputs should still be useful for identifying areas of relatively high and low values and for assessing relative changes over time. \n\nThe outputs themselves consist of raster gridded maps at 90 x 90 metre resolution, as well as vector polygons representing sub-catchments. The sub-catchments aggregate the total sediment, N and P exports from land to water for all grid cells present within each sub-catchment's boundary. All maps cover the full catchment area (196,883 sq. km excluding the lake itself) of the Lake Victoria Basin.","documentType":"GEMINI_DOCUMENT","familyName":["Sharps","Feeney","Bisht","Thomas","May"],"fullName":["Sharps, K.","Feeney, C.","Bisht, T.","Thomas, A.","May, L."],"funder":["Natural Environment Research Council"],"givenName":["Katrina","Christopher","Tarun","Amy","Linda","C."],"grant":["NE/X006247/1"],"identifier":"02977a5d-00a0-44f8-baee-d2e0eecb5df0","incomingCitationCount":0,"keyword":["Lake Victoria","Modelling","Soil","Water quality","freshwater","land","nitrogen","nutrient balance","phosphorus","sediment","soil erosion","InVEST"],"keywordsOther":["freshwater","land","nitrogen","nutrient balance","phosphorus","sediment","soil erosion","InVEST"],"keywordsPlace":["Lake Victoria"],"keywordsTheme":["Modelling","Soil","Water quality"],"licence":"Open government licence","lineage":"The model outputs were ultimately generated from the InVEST platform’s NDR and SDR models. Each of these has a similar structure that uses a digital elevation model (DEM), catchment polygon and threshold flow accumulation (in this case, 1000) to generate a river network and a surrounding topographically varying land surface within the catchment. This is combined with simple formulae that represent land-water connectivity to allow the models to calculate the delivery of matter (here, sediments, N and P) from land to water. Gross loss rates of sediment, N and P from the land surface are governed by combinations of land cover (with each land cover class represented in a map layer and corresponding table of biophysical coefficients), rainfall, soil structure and slope length and steepness. Connectivity parameters govern how much of these gross losses from land ultimately impact the river network (becoming “net” losses).\n\nTopsoil (0-20 cm) nutrient concentration maps from iSDA-soil were combined with erosion rate predictions to estimate rates of soil total nitrogen and total phosphorus fluxes with soil loss. These soil erosion-associated nutrient losses were subtracted from maps produced by the NDR model that represent the total N and P loads from fertilisers, manure and atmospheric deposition to compute nutrient balances on all land grid-cells. Soil nutrient levels were also multiplied by sediment export rates maps produced by the SDR model and aggregated for each subcatchment (i.e. summing values from all grid cells within a subcatchment). These aggregated values were added to aggregated N and P exports to the river network (produced by the NDR model) to obtain more complete total N and P exports from land to water.\n\nQA checks were undertaken to ensure all raster layers were exactly aligned with one another to the same spatial extent, coordinate reference system and resolution (exactly 90 m). Additionally, model outputs were quantitatively evaluated against the limited pool of observational data available to us from catchment outlets all along Lake Victoria’s shoreline. Predicted sediment, and total N and P exports (that each account for the erosion of soil nutrient stocks in addition to losses via runoff captured by the NDR model) were evaluated against available observational measurements from the years 2000 and 2005. In most cases, predicted sediment, N and P losses were predicted to be within 1 order of magnitude of the observations (a widely accepted standard for evaluation of catchment-level exports – see the supporting documentation for more details) and thus our results are shown to be reasonably accurate.\n\nTo reduce the overall sizes of each data file, we converted the data from floating point to integer format. Before converting our data into integer format, we multiplied each raster layer (individual band in our GeoTiffs) by 100. Therefore, the user of our data will need to divide the values stored in our raster layers by 100 to get the “true” values (in units of kg/grid cell/year to 2 decimal places).\n\nAfter converting our data into integer format, each raster band was harmonised to the same coordinate reference system and spatial extent before stacking into multi-band GeoTiff files. The data contained in the geopackage file requires no transformation prior to analysis or other use. The geopackage consists of 5 layers (named after each simulated year: 2000, 2005, 2010, 2015 and 2022).  Please see the Supporting Documentation for further details on attributes recorded in the geopackage layers.","locations":["POLYGON((29.421 -3.842, 29.421 1.28, 35.89 1.28, 35.89 -3.842, 29.421 -3.842))"],"metadataDate":"2026-07-24T18:52:35.000Z","orcid":["0000-0003-3265-1505","0000-0003-2175-1842","0000-0003-4963-6547","0000-0002-4929-7285","0000-0003-3385-9973"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-08-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/02977a5d-00a0-44f8-baee-d2e0eecb5df0","10.5285/02977a5d-00a0-44f8-baee-d2e0eecb5df0","doi:10.5285/02977a5d-00a0-44f8-baee-d2e0eecb5df0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents model predictions of soil erosion impacts on land and freshwater systems in the Lake Victoria Basin. These impacts include: (1) soil nutrient balances as a function of nitrogen (N) and phosphorus (P) loads to the land surface from fertiliser, manure…","state":"published","temporalExtentText":"Data collected from 2000 to 2022","title":"Modelled erosional impacts on soil and freshwater nitrogen and phosphorus dynamics in Lake Victoria’s catchment area, 2000-2022","topic":["0/Modelling/","0/Soil/","0/Water quality/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Aberdeen"],"authorFamilyName":["Oyesiku-Blakemore","Smith","Hallett"],"authorFullName":["Oyesiku-Blakemore, J.","Smith, J.","Hallett, P."],"authorGivenName":["Joseph","J.","P."],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"Data comprise soil organic carbon content from a simulation using the ECOSSE model; a pool-based carbon and nitrogen turnover model. Simulations were performed using input data from the Sunjia research farm in southeast China (Jianxi province). Data here is from simulations using the global version of the ECOSSE model, a package which applies the regular model spatially. Input data for the simulations were provided by the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018. ","documentType":"GEMINI_DOCUMENT","familyName":["Oyesiku-Blakemore","Smith","Hallett"],"fullName":["Oyesiku-Blakemore, J.","Smith, J.","Hallett, P."],"funder":["Natural Environment Research Council"],"givenName":["Joseph","J.","P.","Joseph "],"grant":["NE/N007611/1"],"identifier":"876fa724-c3d3-4091-8de2-8140b7c973eb","incomingCitationCount":0,"keyword":["Soil","Environmental survey","soil","organic carbon"],"keywordsOther":["soil","organic carbon"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Open government licence","lineage":"The data was collected through model simulations. These were performed to understand the response of soil carbon in the red soils of Southeast China to changes in climate. Simulations were carried out by Dr Joseph Oyesiku-Blakemore in the Environmental modelling group at the University of Aberdeen. The work was part of the UK China Critical Zone Observatory project (the Red Soil project within this group of projects), funded by NERC and NSFC. 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Data here is from simulations…","state":"published","supplementalName":["Critical Zone Exploration Network"],"title":"Model output of changes in soil carbon storage and emissions for agricultural and forest land uses across the Red Soil region in China","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["National Institute of Amazonian Researches, Brazil","Nanyang Technological University","University of Exeter"],"authorFamilyName":["Cunha","Quesada","Di Ponzio","Lopes","Deambrozi","Brum","Andersen","Hartley"],"authorFullName":["Cunha, H.F.V.","Quesada, C.A.","Di Ponzio, R.","Lopes, N.B.P.","Deambrozi, S.","Brum, B.","Andersen, K.","Hartley, I.P."],"authorGivenName":["H.F.V.","C.A.","R.","N.B.P.","S.","B.","K.","I.P."],"authorOrcid":["0000-0002-1460-9904","0000-0002-9183-6617"],"authorRor":["https://ror.org/02e7b5302","https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains the Diameter at Breast Height (DBH) of trees > 10 cm along with botanical identification (family and species). Data were obtained via forest inventories, in annual campaigns (from 2017 to 2019) conducted in May, with exception of the first campaign, which was from June to November, due to the species identification activity. \n\nThe research was conducted in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil.\n\nThe dendrometer dataset contains the distance in circumference (mm) from a window on the dendrometer band installed in the tree and measured with a digital caliper, where that distance changes when the trunk grows. Dendrometric bands data were collected from April 2018 to January 2020. ","documentType":"GEMINI_DOCUMENT","familyName":["Cunha","Quesada","Di Ponzio","Lopes","Deambrozi","Brum","Andersen","Hartley"],"fullName":["Cunha, H.F.V.","Quesada, C.A.","Di Ponzio, R.","Lopes, N.B.P.","Deambrozi, S.","Brum, B.","Andersen, K.","Hartley, I.P."],"givenName":["H.F.V.","C.A.","R.","N.B.P.","S.","B.","K.","I.P.","Hellen Fernanda Viana"],"identifier":"c2587e20-ba4a-4444-8ce9-ccdec15b0aa3","incomingCitationCount":0,"keyword":["Environmental survey","Stem growth","Central Amazon","increment"],"keywordsOther":["Stem growth","Central Amazon","increment"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The forest inventory was conducted annually from 2017 to 2019. The first inventory (2017) took a longer time to be carried out (June- November), because it involved the botanical identification of the species. The second and third inventories were made only in May. The diameter was collected at 1.3 m above the ground with a diametric tape in trees with DBH > 10 cm. In some cases, the diameter was collected above that height because of the presence of buttresses or some deformity at that point. For quality control, the staff was trained before collection and the data were entered into the computer in the field, to avoid errors. The recruitment was the inclusion of new individuals who reached 10 cm of DBH, and tree mortality was also recorded.\n\nMore precise growth measures and with a higher frequency of collection, are obtained by dendrometric bands, which were installed in 1299 trees. The measure contains the distance in circumference (mm) from a window on the dendrometer band measured with a digital caliper, where that distance changes when the trunk grows. We avoid collecting data during rain, because the instrument is sensitive to humidity. In 2018, the data were collected in April, June, July, August, September, October and November. In 2019, the data were collected in January, February, April, July and October and in 2020 the data were collected in January.","locations":["POLYGON((-60.406 -2.121, -60.406 -1.043, -59.051 -1.043, -59.051 -2.121, -60.406 -2.121))"],"metadataDate":"2026-07-25T14:00:27.000Z","orcid":["0000-0002-1460-9904","0000-0002-9183-6617"],"organisation":["National Institute of Amazonian Researches, Brazil","Nanyang Technological University","University of Exeter","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2587e20-ba4a-4444-8ce9-ccdec15b0aa3","10.5285/c2587e20-ba4a-4444-8ce9-ccdec15b0aa3","doi:10.5285/c2587e20-ba4a-4444-8ce9-ccdec15b0aa3"],"resourceType":"Dataset","ror":["https://ror.org/02e7b5302","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains the Diameter at Breast Height (DBH) of trees > 10 cm along with botanical identification (family and species). Data were obtained via forest inventories, in annual campaigns (from 2017 to 2019) conducted in May, with exception of the first campaign,…","state":"published","temporalExtentText":"Data collected from 2018 to 2020","title":"Tree census and diameter increment in fertilised plots in the Central Amazon, 2017–2020","topic":["0/Environmental survey/"],"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":["0000-0002-5276-1405","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.","UK Butterfly Monitoring Scheme"],"givenName":["M.","D.","T.","I.","Z."],"identifier":"9b7fa1d0-2580-46a5-a2d6-b17d30fd7723","incomingCitationCount":0,"keyword":["England","Scotland","Wales","Northern Ireland","United Kingdom","Biodiversity","butterfly","lepidopteran"],"keywordsOther":["butterfly","lepidopteran"],"keywordsPlace":["England","Scotland","Wales","Northern Ireland","United Kingdom"],"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":"2026-07-25T10:22:38.000Z","orcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"organisation":["Centre for Ecology & Hydrology","Butterfly Conservation","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9b7fa1d0-2580-46a5-a2d6-b17d30fd7723","10.5285/9b7fa1d0-2580-46a5-a2d6-b17d30fd7723","doi:10.5285/9b7fa1d0-2580-46a5-a2d6-b17d30fd7723"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","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 web page 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"],"temporalExtentText":"Data collected from 1976 to 2015","title":"United Kingdom Butterfly Monitoring Scheme: site location data 2015","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Pitt","Sheen","O'Connor","Boonekamp"],"authorFullName":["Pitt, M.","Sheen, T.","O'Connor, B.","Boonekamp, J."],"authorGivenName":["Mark","Tim","Brendan","Jelle"],"authorRor":["https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprises records of phenotypic traits of outbred Gryllus bimaculatus that were bred in a laboratory. Inbreeding was minimized by avoiding crossing family lines. Traits that were measured include adult body mass, development time, and lifespan. The data were collected in 2023 by researchers from the University of Glasgow to investigate the effects of parental age and temperature conditions on offspring life-history. We chose this species because we have complementary field projects on field crickets and they are easily maintained in a lab. \n\n","documentType":"GEMINI_DOCUMENT","familyName":["Pitt","Sheen","O'Connor","Boonekamp"],"fullName":["Pitt, M.","Sheen, T.","O'Connor, B.","Boonekamp, J.","Jelle Boonekamp"],"funder":["Natural Environment Research Council"],"givenName":["Mark","Tim","Brendan","Jelle"],"grant":["NE/X012018/1"],"identifier":"085ec3ff-110d-4dbf-96da-7418ab9a7c5a","incomingCitationCount":0,"keyword":["Animal behaviour","evolution","field crickets"],"keywordsOther":["evolution","field crickets"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Crickets were housed in individual boxes (approximately 18x10x7cm) from hatching . All individuals were kept at 28 degrees Celsius. Development time and lifespan data were obtained by weekly survival and adult emergence checks. Body mass was recorded to the nearest microgram using a calibrated balance. Weakly checks were done to record the date of adult emergence or death. Individuals had access to food (dried grass pellets - rabbit food from Science Selective) and water ad libitum. The data were entered in an Access data base and subsequently exported as csv file.","metadataDate":"2026-07-24T18:57:25.000Z","organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/085ec3ff-110d-4dbf-96da-7418ab9a7c5a","10.5285/085ec3ff-110d-4dbf-96da-7418ab9a7c5a","doi:10.5285/085ec3ff-110d-4dbf-96da-7418ab9a7c5a"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprises records of phenotypic traits of outbred Gryllus bimaculatus that were bred in a laboratory. Inbreeding was minimized by avoiding crossing family lines. Traits that were measured include adult body mass, development time, and lifespan. The data were…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Phenotypic traits of laboratory-housed field crickets (Gryllus bimaculatus) bred from parents with a range of ages","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Leeds"],"authorFamilyName":["Mittal","Whitfield"],"authorFullName":["Mittal, N.","Whitfield, S."],"authorGivenName":["N. ","Stephen"],"authorOrcid":["0000-0002-3040-778X"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Microsoft Word (docx)"],"description":"The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions focused on important monthly agricultural activities in association with the climate services and extreme weather events. This outlined how climatic factors affected agricultural decision-making. \n\nThe data were produced as part of NERC Program Science for Humanitarian Emergencies and Resilience (SHEAR). Grant reference - Improving Preparedness to Agro-Climatic Extremes in Malawi (IPACE-Malawi).","documentType":"GEMINI_DOCUMENT","familyName":["Mittal","Whitfield"],"fullName":["Mittal, N.","Whitfield, S."],"funder":["Natural Environment Research Council"],"givenName":["N. ","Stephen"],"grant":["NE/S005900/1"],"identifier":"199b0046-79a3-4e74-8152-17f10c376671","incomingCitationCount":0,"keyword":["Africa","Agriculture","Agro-climate indices","Maize","Farmers","Decision making","extreme weather","weather","ecosystem services","agriculture"],"keywordsOther":["Agro-climate indices","Maize","Farmers","Decision making","extreme weather","weather","ecosystem services","agriculture"],"keywordsPlace":["Africa"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Between April and May 2019 15 focus group discussions (FGDs) were conducted across five Extension Planning Areas (EPAs); 10 FGDs with farmers and 5 FGDs with Agricultural Extension Development Officers (AEDOs). The farmers involved in the FGD were selected by the AEDOs and included both male and female farmers (and amongst which one or more than one was the lead farmer i.e., farmer representative). In total, 70 female farmers and 48 male farmers, and 21 AEDOs participated in the FGDs. The age of male farmer and female farmer participants ranged from 28–58 to 20–54, respectively. As part of the FGDs these seasonal calendars were used to guide the discussion. \n\nThe FGDs were conducted in the local language Chichewa, facilitated by a local research assistant who audio recorded, translated and transcribed the discussions.\n","locations":["POLYGON((33.877 -15.512, 33.877 -13.726, 35.722 -13.726, 35.722 -15.512, 33.877 -15.512))"],"metadataDate":"2026-07-24T19:14:09.000Z","orcid":["0000-0002-3040-778X"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/199b0046-79a3-4e74-8152-17f10c376671","10.5285/199b0046-79a3-4e74-8152-17f10c376671","doi:10.5285/199b0046-79a3-4e74-8152-17f10c376671"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions focused on important monthly agricultural activities in association with the climate services and extreme weather events. This outlined how climatic…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Seasonal agricultural calendars presenting activities per month for farmers in Malawi, April-May 2019","topic":["0/Agriculture/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Sanders","van Veen","Gaston"],"authorFullName":["Sanders, D.","van Veen, F.J.F.","Gaston, K.J."],"authorGivenName":["D.","F.J.F","K.J."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":" The datasets contain insect numbers, plant biomass, successful attacks of parasitoids, and behavioural response of parasitoids. The data are based on direct observations of insects and plants in field and laboratory experiments testing for the impact of different spectra of artificial light at night on an experimental insect food web with coloured near-monochromatic LEDs, with a single peak emittance across the visible and near-UV spectrum at wavelengths of 385, 447, 469, 475, 518, 607 and 630 nm plus a dark control.\n\nThe dark control was exposed to the natural background light levels at night. We kept photon flux similar to the output of a white light LED at 20 lux, for all light treatments apart from the UV treatment. Data collection was done in a field site, and controlled temperature room at Penryn Campus of University of Exeter, Penryn, UK. \n\nThe field experiment was set up on 3rd June 2017 and ran for 17 weeks, while the additional experiments were conducted between summer 2017 and summer 2018.\n\nThe data have been sampled as part of the NERC project NE/N001672/1 “Effects of artificial light on multi-trophic population dynamics”. ","documentType":"GEMINI_DOCUMENT","familyName":["Sanders","van Veen","Gaston"],"fullName":["Sanders, D.","van Veen, F.J.F.","Gaston, K.J."],"funder":["Natural Environment Research Council"],"givenName":["D.","F.J.F","K.J.","Dirk"],"grant":["NE/N001672/1"],"identifier":"dfe9a1ed-fc98-4abd-8040-6ee9f01cfcd0","incomingCitationCount":0,"keyword":["Light pollution","ALAN","Artificial light at night","Light spectra","Food web","Ecological communities","Parasitoids","Aphids","Field experiment","Top-down control","Behaviour"],"keywordsOther":["Light pollution","ALAN","Artificial light at night","Light spectra","Food web","Ecological communities","Parasitoids","Aphids","Field experiment","Top-down control","Behaviour"],"licence":"Open government licence","lineage":"Field experiment data\n\nWe established the insect communities in the field in 47.5 x 47.5 x 47.5 cm mesocosms and observed their population dynamics for 17 weeks (03. 06.  2017 to 04. 10. 2017). The experimental plant-insect communities consisted of broad beans (Vicia faba, L., var. the Sutton) as a resource for three aphid species: (1) the black bean aphid Aphis fabae (Scopoli), (2) the pea aphid Acyrthosiphon pisum (Harris), and (3) the vetch aphid Megoura viciae (Buckton). The aphid M. viciae was attacked by the parasitoid Aphidius megourae (Stary) and the communities were exposed to the natural hyperparasitoid community. Mesocosms were located 1.5 meters apart on benches 1 m above the ground in a contained field site close to the University of Exeter campus in Cornwall (UK). \n\nFor the 7 different spectra treatments we used coloured near-monochromatic LEDs, with a single peak emittance across the visible and near-UV spectrum at wavelengths of 385, 447, 469, 475, 518, 607 and 630 nm plus a dark control. The dark control was exposed to the natural background light levels at night. We kept photon flux around 7.1 μmol m-2 s-1, similar to the output of a white light LED at 20 lux, for all light treatments apart from the UV treatment (2.4μmol m-2 s-1). From an initial 7 replicates per treatment, we only included those where all species had been established in the beginning, leading to 6 replicates for the red and green light treatment and 5 replicates for the UV treatment. Artificial lights were only turned on at night, by means of a dusk-dawn sensor, switching on at 70 lux and off at 110 lux. Barriers between the cages prevented spill over of light to other mesocosms.\n\nOver the 17 weeks, all species abundances were monitored by counting aphids and parasitoid mummies (for parasitoid abundance) on half of all plants per cage on a weekly basis. In weeks 12 and 14 we sampled 10% of the aphid mummies per mesocosm, kept these in gelatine capsules in the laboratory for the parasitoids to emerge and identified any emerging hyperparasitoid. At week 10 we placed a 2-week old bean plant in each mesocosm for 3 weeks after which we measured dry plant biomass. Each plant was placed in a netted cage to exclude aphids whilst in the mesocosm. \n\nParasitoid attack rate and behaviour\n\nTo test for parasitoid behaviour and their impact on the aphids we run two experiments : (i) 24-hour attack rate and (ii) parasitoid flight to light behaviour. (i) and (ii) were done for all light treatments used in the field experiment but kept at 20 lux with the addition of a white light LED treatment. For (i) we used 150 third instar M. viciae aphid individuals on single 2 week old plants within 47.5 × 47.5 × 47.5 cm cages. One female A. megourae parasitoid was placed in each cage for a 24-hour period and removed afterwards. This experiment was done in a controlled temperature room at 20°C and 16: 8 hours light: dark period. All aphid mummies that had formed after 2 weeks were counted. For (ii) we used 2 week old bean plants infested with 150 third instar M. viciae aphid individuals that were placed in a cage in complete darkness. Different light treatments were then applied over the top of the cage. 20 mated female A. megourae parasitoids were then released into the cage. After one hour the locations of the parasitoids (either on the plant or away from plant) were noted. Each treatment was replicated 6 times.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:25:43.000Z","organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-08-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dfe9a1ed-fc98-4abd-8040-6ee9f01cfcd0","10.5285/dfe9a1ed-fc98-4abd-8040-6ee9f01cfcd0","doi:10.5285/dfe9a1ed-fc98-4abd-8040-6ee9f01cfcd0"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193","https://ror.org/03yghzc09"],"shortenedDescription":" The datasets contain insect numbers, plant biomass, successful attacks of parasitoids, and behavioural response of parasitoids. The data are based on direct observations of insects and plants in field and laboratory experiments testing for the impact of different spectra…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Insect population dynamics, parasitism and behaviour in response to different spectra of artificial light at night ","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Vieno"],"authorFullName":["Vieno, M."],"authorGivenName":["M."],"authorOrcid":["0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The European Monitoring and Evaluation Program Unified Model for the UK (EMEP4UK) simulates the year 2001 to 2014 UK daily average atmospheric composition at a horizontal resolution of 5 x 5 km2. The species included in this dataset are surface daily average concentrations of: nitric oxide (NO), nitrogen dioxide (NO2), particulate matter (PM10 and PM2.5), ammonia (NH3), nitric acid (HNO3), sulphur dioxide (SO2), ammonium (NH4+), nitrate (NO3-), sulphate (SO42-), PM2.5 organic matter, and ground level ozone (O3).\n\nThe EMEP4UK model framework consists of an atmospheric chemistry transport model (ACTM) which simulates hourly to annual average atmospheric composition and deposition of various pollutants and the weather research and forecast model (WRF). Pollutants simulated include fine particulate matter (PM10, PM2.5), secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), sulphur dioxide (SO2), ammonia (NH3), nitrogen oxides (NOx), and ground level ozone (O3). Dry and wet deposition of pollutants are also generated by the EMEP4UK. WRF is used to calculate the required meteorological input data for the ACTM.\n\nThe version of EMEP4UK used to model the 2001-2014 dataset available here is based on the EMEP Meteorological Synthesizing Centre West (MSC-W) model version rv4.4.\n\nA  version of this dataset, calculated using the EMEP model version rv4.17 and the WRF model version 3.7.1 is available at https://doi.org/10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8\n\nNotes:\nOnly the simulations for the years between 2002-2012 include data for from forest fire.\nThe emissions used for simulating the years 2013 and 2014 are the same as the year 2012 (updated date will be made available as soon as 2013 and 2014 national emission inventory data have been processed).\nThe calculated year 2001-2012 use a different version of the WRF model, moreover for the year 2013 and 2014 the WRF model setup was changed as the specific Humidity is no longer nudged with re-analysis in the WRF simulation.\n\nAcknowledgements required (third-party datasets used to drive the model): The WRF model calculated meteorology uses the dataset from NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. (http://www.wrf-model.org/). National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. (http://doi.org/10.5065/D6M043C6). Emissions data from the EMEP emissions center (www.emep.int), and NAEI web site (http://naei.defra.gov.uk).","documentType":"GEMINI_DOCUMENT","familyName":["Vieno"],"fullName":["Vieno, M."],"givenName":["M.","Massimo"],"identifier":"39c6e02f-11ee-44d5-b587-b225f1a99bc8","incomingCitationCount":0,"keyword":["Pollution","Climate and climate change","Modelling","Environmental risk","ammonium (NH4+)","ammonia (NH3)","ozone (O3)","sulphur dioxide (SO2)","Nitrogen dioxide","Particulate organic matter","sulphate","nitrate","European Monitoring Evaluation Programme (EMEP)"],"keywordsOther":["ammonium (NH4+)","ammonia (NH3)","ozone (O3)","sulphur dioxide (SO2)","Nitrogen dioxide","Particulate organic matter","sulphate","nitrate","European Monitoring Evaluation Programme (EMEP)"],"keywordsTheme":["Pollution","Climate and climate change","Modelling","Environmental risk"],"licence":"Open government licence","lineage":"The UK Automatic Urban and Rural monitoring Network (AURN) hourly data are used to verify the EMEP4UK model output:\n\nVieno, M., Dore, A. J., Stevenson, D. S., Doherty, R., Heal, M. R., Reis, S., Hallsworth, S., Tarrason, L., Wind, P., Fowler, D., Simpson, D., and Sutton, M. A.: Modelling surface ozone during the 2003 heat-wave in the UK, Atmospheric Chemistry and Physics, 10, 7963-7978 https://doi.org/10.5194/acp-10-7963-2010, 2010\n\nVieno, M., Heal, M. R., Williams, M. L., Carnell, E. J., Nemitz, E., Stedman, J. R., and Reis, S.: The sensitivities of emissions reductions for the mitigation of UK pm2.5, Atmos. Chem. Phys., 16, 265-276 https://doi.org/10.5194/acp-16-265-2016, 2016.\n\nThe UK Acid Gases and Aerosols Network (AGANet) monthy data are also used to verify the EMEP4UK model output:\n\nVieno, M., Heal, M. R., Hallsworth, S., Famulari, D., Doherty, R. M., Dore, A. J., Tang, Y. S., Braban, C. F., Leaver, D., Sutton, M. A., and Reis, S.: The role of long-range transport and domestic emissions in determining atmospheric secondary inorganic particle concentrations across the UK, Atmos. Chem. Phys., 14, 8435-8447 https://doi.org/10.5194/acp-14-8435-2014, 2014\n\nThe EMEP4UK model have been evaluated against other models in the Defra organised model inter-comparison:\n\nCarslaw, D. C.: Report: Defra deposition model evaluation analysis - Phase 1, London, http://uk-air.defra.gov.uk/library/reports?report_id=652, access 01/04/2015, 2011.\nCarslaw, D. C.: Report: Defra regional and transboundary model evaluation analysis - Phase 1, London, http://uk-air.defra.gov.uk/library/reports?report_id=653, access 01/04/2015, 2011.\n\nThe EMEP MSC-W from which the EMEP4UK model is derived is routinely updated and validated in EU: www.emep.int\n\nNo further QA/QC is carried out.","locations":["POLYGON((-11.637 49.007, -11.637 61.37, 4.932 61.37, 4.932 49.007, -11.637 49.007))"],"metadataDate":"2026-07-24T20:39:15.000Z","orcid":["0000-0001-7741-9377"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-06-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/39c6e02f-11ee-44d5-b587-b225f1a99bc8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The European Monitoring and Evaluation Program Unified Model for the UK (EMEP4UK) simulates the year 2001 to 2014 UK daily average atmospheric composition at a horizontal resolution of 5 x 5 km2. The species included in this dataset are surface daily average concentrations…","state":"published","supplementalDescription":["The EMEP MSC-W from which the EMEP4UK model is derived is routinely updated and validated"],"temporalExtentText":"Data collected from 2001 to 2014","title":"The EMEP4UK modelled daily atmospheric composition","topic":["0/Pollution/","0/Climate and climate change/","0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","description":"A wide range of data have been collected from Loch Leven, a large shallow lake in Scotland, since monitoring began in 1968. These include chemical, biological and physical variables. These data have been collected by the UK Centre for Ecology & Hydrology, including its predecessor bodies, and its collaborative partners.","documentType":"GEMINI_DOCUMENT","identifier":"ac973b0d-2c99-4e00-8931-22aa0881006d","incomingCitationCount":0,"keyword":["Loch leven"],"keywordsOther":["Loch leven"],"licence":"Non-Open government licence","lineage":"Loch leven data collection","locations":["POLYGON((-3.43 56.173, -3.43 56.227, -3.313 56.227, -3.313 56.173, -3.43 56.173))"],"metadataDate":"2026-07-25T13:22:32.000Z","organisation":["NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ac973b0d-2c99-4e00-8931-22aa0881006d"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"A wide range of data have been collected from Loch Leven, a large shallow lake in Scotland, since monitoring began in 1968. These include chemical, biological and physical variables. These data have been collected by the UK Centre for Ecology & Hydrology, including…","state":"published","title":"Long term monitoring data from Loch Leven, Scotland","version":1.0,"view":["public","jualob"]},{"authorAffiliation":["University of Exeter","University of Edinburgh","University of Western Ontario","Universidad de Antioquia","University of Gothenburg"],"authorFamilyName":["Cox","Hartley","Meir","Sitch","Dusenge","Restrepo","González-Caro","Villegas","Uddling","Mercado"],"authorFullName":["Cox, A.J.F.","Hartley, I.P.","Meir, P.","Sitch, S.","Dusenge, M.E.","Restrepo, Z.","González-Caro, S.","Villegas, J.C.","Uddling, J.","Mercado, L.M."],"authorGivenName":["A.J.F.","I.P.","P.","S. ","M.E. ","Z. ","S.","J.C. ","J.","L.M. "],"authorOrcid":["0000-0002-5166-7169","0000-0002-9183-6617","0000-0002-2362-0398","0000-0003-1821-8561","0000-0003-4218-0911","0000-0002-3213-9985","0000-0002-2287-7431","0000-0003-4893-1915","0000-0003-4069-0838"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/01nrxwf90","https://ror.org/02grkyz14","https://ror.org/03bp5hc83","https://ror.org/01tm6cn81"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes key photosynthesis and respiration data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. Raw A-Ci data, the Vcmax (carboxylation of RuBP by the enzyme Rubisco) and Jmax (the regeneration of RuBP by the electron transport chain) values estimated from this data, and Rdark (leaf dark respiration) values collected using spot measurements, are all available, along with variables such as leaf temperature (°C), relative humidity (%) and pressure values (kPa) returned by the LI-6800 portable photosynthesis system.  ","documentType":"GEMINI_DOCUMENT","familyName":["Cox","Hartley","Meir","Sitch","Dusenge","Restrepo","González-Caro","Villegas","Uddling","Mercado"],"fullName":["Cox, A.J.F.","Hartley, I.P.","Meir, P.","Sitch, S.","Dusenge, M.E.","Restrepo, Z.","González-Caro, S.","Villegas, J.C.","Uddling, J.","Mercado, L.M."],"funder":["Natural Environment Research Council"],"givenName":["A.J.F.","I.P.","P.","S. ","M.E. ","Z. ","S.","J.C. ","J.","L.M. ","L.M."],"grant":["NE/R001928/1"],"identifier":"60dd0b8f-f0c3-4e30-841b-1c2067052974","incomingCitationCount":0,"keyword":["Andean Montane Forests","Colombian Andes","acclimation","Vcmax","Jmax","Rdark","photosynthesis","respiration"],"keywordsOther":["acclimation","Vcmax","Jmax","Rdark","photosynthesis","respiration"],"keywordsPlace":["Andean Montane Forests","Colombian Andes"],"licence":"Open government licence","lineage":"The raw A-Ci data was collected using a LI-6800 portable photosynthesis system. Once clamped onto a leaf, conditions inside the cuvette were standardised to 29ᵒC, 65% relative humidity and 410ppm CO2; once stable at gs ≥0.05 mol m-2 s-1, net photosynthesis was measured sequentially at 8 different ambient CO2 concentrations (Ca; 410, 300, 175, 60, 410, 800, 1500, 2000) corresponding to different intercellular Ci concentrations. Light intensity was set to a pre-determined saturating photon flux density (PPFD) for each species, according to A-Q curves collected prior to the A-Ci curves.\n\nVcmax and Jmax values were estimated by inputting the raw A-Ci data into the 'plantecophys' package (Duursma, 2015) in the R environment (v4.2.1; R Core Team, 2022). Once these had been extracted, values were standardised to both 25°C and site growth temperature (Tg) using temperature response values derived from Kumarathunge et al. (2019) and the equation given in the supporting documentation. \n\nRdark values were also standardised to 25°C and Tg using an exponential fixed Q10 equation (Tjoelker et al. 2001) and including the temperature-dependence of Q10; both equations are given in the supporting documentation.","locations":["POLYGON((-80.332 -4.828, -80.332 13.24, -65.566 13.24, -65.566 -4.828, -80.332 -4.828))"],"metadataDate":"2026-07-25T06:42:53.000Z","orcid":["0000-0002-5166-7169","0000-0002-9183-6617","0000-0002-2362-0398","0000-0003-1821-8561","0000-0003-4218-0911","0000-0002-3213-9985","0000-0002-2287-7431","0000-0003-4893-1915","0000-0003-4069-0838"],"organisation":["University of Exeter","University of Edinburgh","University of Western Ontario","Universidad de Antioquia","University of Gothenburg","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-03-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/60dd0b8f-f0c3-4e30-841b-1c2067052974","10.5285/60dd0b8f-f0c3-4e30-841b-1c2067052974","doi:10.5285/60dd0b8f-f0c3-4e30-841b-1c2067052974"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/01nrxwf90","https://ror.org/02grkyz14","https://ror.org/03bp5hc83","https://ror.org/01tm6cn81","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes key photosynthesis and respiration data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. Raw A-Ci data, the Vcmax (carboxylation of RuBP by the enzyme Rubisco) and Jmax (the regeneration of…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"A-Ci, photosynthetic capacity and dark respiration data along an elevation/temperature gradient in the Colombian Andes, 2019","version":1.0,"view":["public","shofer"]},{"authorAffiliation":["University of Leeds","Bowburn Consultancy"],"authorFamilyName":["Kerr","Fell","Kelly","Brown"],"authorFullName":["Kerr, N.R.","Fell, S.F.","Kelly, M.","Brown, L.E."],"authorGivenName":["N.R.","S.F.","M.","L.E."],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides diatom taxon abundance data from 12 rivers in the Cordillera Vilcanota region of the Peruvian Andes. Benthic diatoms were collected from a 9cm2 surface on 5 submerged cobbles at each river site. Diatoms were identified and abundances determined using microscopy methods in the laboratory, then averaged across the 5 replicates for each site. Data were collected from 11/09/2019 to 18/09/2019.\n","documentType":"GEMINI_DOCUMENT","familyName":["Kerr","Fell","Kelly","Brown"],"fullName":["Kerr, N.R.","Fell, S.F.","Kelly, M.","Brown, L.E.","Nicky Kerr"],"funder":["Natural Environment Research Council","Newton-Paulet Fund"],"givenName":["N.R.","S.F.","M.","L.E."],"grant":["NE/S013296/1","NE/S007458/1"],"identifier":"1ef65c7e-08d6-4148-b751-ae106346e091","incomingCitationCount":0,"keyword":["Biodiversity","diatom"],"keywordsOther":["diatom"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"At each site, benthic diatoms were collected from five submerged cobbles. Using a sterile toothbrush, the benthic biofilm on the upper surface of each cobble was scrubbed from a 9 cm2 area using a miniature quadrat. Organic material was removed using the hot hydrogen peroxide (H2O2) method and replicate samples mounted on individual slides. Diatom valves were identified and counted using light microscopy at x 1000 magnification using phase-contrast illumination (Olympus CX43 microscope). A minimum of 500 diatom valves were identified from each replicate. Where less than 500 valves were present, all valves were counted. To determine estimates of valve density, the number of valves identified within coverslip transects was used to estimate the total number present on the whole coverslip (0.5 mL) and then multiplied to m-2 based on sample volume and rock area (9 cm2) sampled. Abundances were then averaged across the five replicates to mean diatom density (valve m-2) at each site.","locations":["POLYGON((-75.545 -17.393, -75.545 -8.885, -70.046 -8.885, -70.046 -17.393, -75.545 -17.393))"],"metadataDate":"2026-07-24T19:19:35.000Z","organisation":["University of Leeds","Bowburn Consultancy","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-09-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1ef65c7e-08d6-4148-b751-ae106346e091","10.5285/1ef65c7e-08d6-4148-b751-ae106346e091","doi:10.5285/1ef65c7e-08d6-4148-b751-ae106346e091"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides diatom taxon abundance data from 12 rivers in the Cordillera Vilcanota region of the Peruvian Andes. Benthic diatoms were collected from a 9cm2 surface on 5 submerged cobbles at each river site. Diatoms were identified and abundances determined…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Diatom taxon abundances at river sites in the Cordillera Vilcanota region of the Peruvian Andes, 2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"availability":"Unknown","catalogue":"eidc","description":"Measurements of soil biotic and abiotic factors from permafrost regions of subarctic Canada including burnt and unburnt forests.","documentType":"GEMINI_DOCUMENT","familyName":["Williams"],"fullName":["Williams, M."],"givenName":["M."],"identifier":"108ed94d-3385-4e54-ba96-d4ad387fcae1","incomingCitationCount":0,"keyword":["Canada","Carbon cycling","Permafrost","Peatland plateau","Soil temperature","Soil respiration","Methane fluxes","Thawing peatland","Burnt peatland"],"keywordsPlace":["Canada"],"keywordsTheme":["Carbon cycling","Permafrost","Peatland plateau","Soil temperature","Soil respiration","Methane fluxes","Thawing peatland","Burnt peatland"],"licence":"Non-Open government licence","lineage":"See individual datasets for specific information on lineage","locations":["POLYGON((-137 60, -137 64, -112 64, -112 60, -137 60))"],"metadataDate":"2026-07-24T19:21:17.000Z","organisation":["University of Edinburgh","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/108ed94d-3385-4e54-ba96-d4ad387fcae1"],"resourceType":"Aggregation","ror":["https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"Measurements of soil biotic and abiotic factors from permafrost regions of subarctic Canada including burnt and unburnt forests.","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Carbon Cycling Linkages of Permafrost Systems","version":1.0,"view":["public","kath","c.estop-aragones@exeter.ac.uk"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Jones","Feuchtmayr","Maberly"],"authorFullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"authorGivenName":["I.D.","H.","S.C."],"authorOrcid":["0000-0002-6898-1429","0000-0002-2028-4843","0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Windermere South Basin, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages.  The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive.  This dataset has been used in various publications, please see supporting documentation for more detail. ","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Feuchtmayr","Maberly"],"fullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"givenName":["I.D.","H.","S.C.","Heidrun"],"identifier":"e68063b9-2e52-44df-8b6f-a3deb37b76cb","incomingCitationCount":2,"keyword":[" Lake District","Lake Windermere","Water quality","Environmental survey","temperature profile","lake","freshwater","meteorological parameter"],"keywordsOther":["temperature profile","lake","freshwater","meteorological parameter"],"keywordsPlace":[" Lake District","Lake Windermere"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Data from the automatic water quality buoy on Windermere South Basin are collated and processed by the Centre for Ecology & Hydrology at Lancaster.  Data are available for download from 2012 onwards.  See supporting documentation for further information.  Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed. ","locations":["POLYGON((-2.977 54.277, -2.977 54.335, -2.921 54.335, -2.921 54.277, -2.977 54.277))"],"metadataDate":"2026-09-15T08:39:38.000Z","orcid":["0000-0002-6898-1429","0000-0002-2028-4843","0000-0003-3541-5903"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e68063b9-2e52-44df-8b6f-a3deb37b76cb","10.5285/e68063b9-2e52-44df-8b6f-a3deb37b76cb","doi:10.5285/e68063b9-2e52-44df-8b6f-a3deb37b76cb"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Windermere South Basin, a lake in the North West of England. The lake temperatures are measured in various depths of the…","state":"published","temporalExtentText":"Data collected from 2012 to 2015","title":"Data from automatic water monitoring buoy from Windermere south basin, 2012 to 2015","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Public Health Wales"],"authorFamilyName":["Chalmers","Robinson"],"authorFullName":["Chalmers, R.M.","Robinson, G."],"authorGivenName":["R. M.","G."],"authorRor":["https://ror.org/00265c946"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data show the presence/absence and identification of Cryptosporidium species from the results of a molecular survey of various upland river biota aquatic invertebrates, biofilms, mammal droppings and fish guts, gills and faeces. Samples were collected from various upland influenced sites from around Wales between 2012 and 2015 and were collected. Additionally, otter samples from UK-wide project were also tested. \n\nSample collection was primarily undertaken by DURESS researchers at Cardiff University. Sample testing and analysis was performed at the Cryptosporidium Reference Unit, Public Health Wales Microbiology, Swansea. DNA was extracted using a commercially available kit (Gentra PureGene), Qiagen stool and tissue DNA kits for the fish and mammal samples.\n\nThese data were collected to provide new information required for the production of a catchment pathogen model to inform ecosystems (dis)services analysis of land use change scenarios for the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project, part of the NERC Biodiversity and Ecosystem Service Sustainability (BESS) BESS Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Chalmers","Robinson"],"fullName":["Chalmers, R.M.","Robinson, G."],"funder":["Natural Environment Research Council"],"givenName":["R. M.","G.","Guy"],"grant":["NE/J014818/1"],"identifier":"84242834-dc78-49a6-83cb-951edac65d18","incomingCitationCount":0,"keyword":["DURESS"," Diversity of Upland Rivers for Ecosystem Service Sustainability","Cryptosporidium","Biofilm","fish","mammal","invertebrate"],"keywordsOther":["Cryptosporidium","Biofilm","fish","mammal","invertebrate"],"keywordsProject":["DURESS"," Diversity of Upland Rivers for Ecosystem Service Sustainability"],"licence":"Open government licence","lineage":"Sample preparation methods included a newly developed means of testing whole aquatic invertebrates by grinding them up in Liquid Nitrogen and extracting DNA using a commercially available kit (Gentra PureGene), Qiagen stool and tissue DNA kits for the fish and mammal samples. Nested Image result for PCR (Polymerase chain reaction) PCR targeting Cryptosporidium small subunit rDNA was used to screen the samples for the presence of Cryptosporidium followed by identification of the species using sequencing or species-specific real-time PCRs. Where Cryptosporidium hominis or Cryptosporidium parvum were found, isolates were subtyped by sequencing part of a 60 kilodaltons (kDa) glycoprotein gene. Biota samples were collected by Cardiff University staff and transported to the Cryptosporidium Reference Unit, Swansea for testing. DNA from biofilm samples was extracted at Cardiff University. Invertebrates were pooled up to a maximum of 5 larvae per sample and ground in liquid nitrogen before DNA extracted using the Gentra PureGene DNA extraction kit (Qiagen). Fish gut and gill samples (collected from fish culled for food-web studies) were processed by extracting DNA using the QIAamp DNA Mini kit tissue protocol (Qiagen). Faecal samples from fish, collected by gently massaging the gut just above the anus and mammals, collected from the ground in the riparian zone on ad hoc basis had DNA extracted using QIAamp Fast DNA Stool Mini kit. Samples were screened for any Cryptosporidium DNA using a published nested polymerase chain reaction (PCR) targeting the small subunit rhibosomal DNA (rDNA). The presence of DNA from the two main Cryptosporidium species that cause human cryptosporidiosis (Cryptosporidium parvum and Cryptosporidium hominis) was also screened for using species-specific real-time PCRs targeting the Lib13 and A135 genes. Any C. hominis and C. parvum positive samples were subtyped by sequencing part of the 60kDa glycoprotein gene. The prevalence of Cryptosporidium was very low, which could indicate that the water in these upland rivers is not overly contaminated. However, caution must be taken as no water samples were tested as part of this project and the low prevalence may also be linked to the location of the sampling, the sample sizes, the analytical sensitivity of the testing method and/or the potential for the host species tested to actually carry or be infected by Cryptosporidium species.\n\nResults were entered into Excel spreadsheets and exported to comma separated value files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T08:37:41.000Z","organisation":["Public Health Wales","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/84242834-dc78-49a6-83cb-951edac65d18","10.5285/84242834-dc78-49a6-83cb-951edac65d18","doi:10.5285/84242834-dc78-49a6-83cb-951edac65d18"],"resourceType":"Dataset","rightsHolder":["Public Health Wales"],"ror":["https://ror.org/00265c946","https://ror.org/04xw4m193"],"shortenedDescription":"These data show the presence/absence and identification of Cryptosporidium species from the results of a molecular survey of various upland river biota aquatic invertebrates, biofilms, mammal droppings and fish guts, gills and faeces. Samples were collected from various…","state":"published","temporalExtentText":"Data collected from 2012 to 2015","title":"Cryptosporidium in upland water biota, United Kingdom (2012-2015)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Carter","Clarke","De Ville","Dodd","Fletcher","James","Keenan","Mackay","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","James, J.B.","Keenan, P.O.","Mackay, E.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","H.T.","M.A.","M.M.","B.A.","J.","J.B.","P.O.","E.B.","G.","S.J.","S.C."],"authorOrcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449","0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. All data are from January 2014 until the end of 2018.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Carter","Clarke","De Ville","Dodd","Fletcher","James","Keenan","Mackay","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","James, J.B.","Keenan, P.O.","Mackay, E.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","H.T.","M.A.","M.M.","B.A.","J.","J.B.","P.O.","E.B.","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"1ccff678-9e27-4290-8f12-a9d0c048d52f","incomingCitationCount":0,"keyword":["Water quality","Environmental survey","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Water samples are based on a sample integrated from 0 to 7 m. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. Samples were analysed in UKCEH laboratories.","locations":["POLYGON((-3.005 54.264, -3.005 54.388, -2.888 54.388, -2.888 54.264, -3.005 54.264))"],"metadataDate":"2026-07-24T19:17:25.000Z","orcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449","0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1ccff678-9e27-4290-8f12-a9d0c048d52f","10.5285/1ccff678-9e27-4290-8f12-a9d0c048d52f","doi:10.5285/1ccff678-9e27-4290-8f12-a9d0c048d52f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England that began in 1945 for some…","state":"published","temporalExtentText":"Data collected from 2014 to 2018","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere South Basin, 2014 to 2018","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Trill","Robotham","Old","Rameshwaran","Bishop"],"authorFullName":["Trill, E.","Robotham, J.","Old, G.","Rameshwaran, P.","Bishop, J."],"authorGivenName":["E.","J.","G.","P."],"authorOrcid":["0000-0002-6233-8942","0000-0002-1223-8345","0000-0002-4713-1070","0000-0002-8972-953X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset also includes the estimated 9 x FSA stored volume time-series, estimated using a depth-stored volume lookup table for each FSA, produced from a digital elevation model of each feature and a depth-area-volume toolset. The annual barometric pressure time-series used to correct water level is also provided.\n\nThis dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. This work was supported by the SPITFIRE NERC DTP (NE/L002531/1) and the SCENARIO NERC DTP (NE/L002566/1).","documentType":"GEMINI_DOCUMENT","familyName":["Trill","Robotham","Old","Rameshwaran","Bishop"],"fullName":["Trill, E.","Robotham, J.","Old, G.","Rameshwaran, P.","Bishop, J."],"funder":["Natural Environment Research Council"],"givenName":["E.","J.","G.","P."],"grant":["NE/L002531/1","NE/L002566/1"],"identifier":"cf70f798-442a-4775-963c-b6600023830f","incomingCitationCount":0,"keyword":["Oxfordshire","Cotswolds","Thames Basin","Hydrology","Environmental risk","natural flood management (NFM)","flood storage area (FSA)","bund","hydrology","flood","flood risk management"],"keywordsOther":["natural flood management (NFM)","flood storage area (FSA)","bund","hydrology","flood","flood risk management"],"keywordsPlace":["Oxfordshire","Cotswolds","Thames Basin"],"keywordsTheme":["Hydrology","Environmental risk"],"licence":"Open government licence","lineage":"Data were generated using pressure sensors supplied with a factory calibration. A barometric correction was applied to sensor pressure time-series. Barometric corrected pressure data were then calibrated to stage using a linear regression developed between these data and observed stage board readings. After this correction data were quality controlled to flag any spurious readings, which were removed and interpolated if appropriate. Flood Storage Area (FSA) volume for each feature was estimated using a Digital Elevation Model (DEM) produced with LiDAR data. If LiDAR data were not available, as-built manual survey data were interpolated using the Natural Neighbour method. The DEMs were imported into ArcGIS to create a raster and apply a depth-area-volume toolset for each FSA. The continuous corrected water level time-series in each FSA was then used to produce a time-series of stored volume for each FSA, by matching the water level time-series to the depth-stored volume lookup table produced from ArcGIS.","locations":["POLYGON((-1.6 51.85, -1.6 51.88, -1.66 51.88, -1.66 51.85, -1.6 51.85))"],"metadataDate":"2026-09-15T08:39:17.000Z","orcid":["0000-0002-6233-8942","0000-0002-1223-8345","0000-0002-4713-1070","0000-0002-8972-953X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cf70f798-442a-4775-963c-b6600023830f","10.5285/cf70f798-442a-4775-963c-b6600023830f","doi:10.5285/cf70f798-442a-4775-963c-b6600023830f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset…","state":"published","temporalExtentText":"Data collected from 2018 to 2022","title":"High-resolution time-series of flood storage area water levels and estimated stored volumes in the Littlestock Brook, Thames Basin, England, 2018-2022","topic":["0/Hydrology/","0/Environmental risk/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Institute of Terrestrial Ecology"],"authorFamilyName":["Bunce","Hornung","Hatton","Stevens","Cummins","French"],"authorFullName":["Bunce, R.G.H.","Hornung, M.","Hatton, A.","Stevens, P.A.","Cummins, R.","French, D."],"authorGivenName":["R.G.H","M.","A.","P.A.","R.","D."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of soil physico-chemical properties (pH and loss on ignition) from soils sampled across Great Britain in 1978. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Bunce","Hornung","Hatton","Stevens","Cummins","French","Wood"],"fullName":["Bunce, R.G.H.","Hornung, M.","Hatton, A.","Stevens, P.A.","Cummins, R.","French, D.","Wood, C."],"givenName":["R.G.H","M.","A.","P.A.","R.","D.","Claire"],"identifier":"85c71959-0f7c-4f04-b3a7-152673107a85","incomingCitationCount":1,"keyword":["Great Britain","Soil","Environmental survey"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Non-Open government licence","lineage":"Soil samples were collected in the summers of 1977 and 1978 by field surveyors. Data were recorded from up to 256 1km squares sited across Britain, selected by random stratified sample. Samples were analysed according to standardised protocols at the Institute of Terrestrial Ecology, Merlewood in 1977 and 1978. data are managed by the Centre for Ecology ad Hydrology. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T08:38:17.000Z","organisation":["Institute of Terrestrial Ecology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-06-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/85c71959-0f7c-4f04-b3a7-152673107a85","10.5285/85c71959-0f7c-4f04-b3a7-152673107a85","doi:10.5285/85c71959-0f7c-4f04-b3a7-152673107a85"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of soil physico-chemical properties (pH and loss on ignition) from soils sampled across Great Britain in 1978. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from…","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. NERC/Centre for Ecology & Hydrology, 192pp. (CS Technical Report No. 9/07, CEH Project Number: C03259)"],"supplementalName":["Countryside Survey website"],"temporalExtentText":"Data collected from 1977 to 1978","title":"Soil physico-chemical properties 1978 [Countryside Survey]","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Botswana"],"authorFamilyName":["Helfter","Gondwe","Skiba"],"authorFullName":["Helfter, C.","Gondwe, M.","Skiba, U."],"authorGivenName":["C.","M.","U."],"authorOrcid":["0000-0001-5773-4652","0000-0002-2607-5399","0000-0001-8659-6092"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01encsj80"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data resource consists of half hourly time series of heat (latent and sensible) and trace gas (carbon dioxide and methane) fluxes obtained by eddy-covariance, gas concentrations and ancillary meteorological data (e.g. air temperature, relative humidity, pressure, photosynthetically active radiation, total incoming radiation, wind speed and direction). The data were collected at Guma Lagoon (18°57'53.01\"S;  22°22'16.20\"E), in the perennially flooded area of the Okavango Delta, Botswana, for the purpose of quantifying greenhouse gas fluxes over a Cyperus papyrus stand. The measurement period was 01/01/2018 to 31/12/2020. The instrumentation was installed the UK Centre for Ecology and Hydrology; monthly maintenance and data collection visits were effected by the Okavango Research Institute, University of Botswana.\n\nThe research was funded through NERC grant reference NE/N015746/2 - The Global Methane Budget.","documentType":"GEMINI_DOCUMENT","familyName":["Helfter","Gondwe","Skiba"],"fullName":["Helfter, C.","Gondwe, M.","Skiba, U."],"funder":["Natural Environment Research Council"],"givenName":["C.","M.","U."],"grant":["NE/N015746/2"],"identifier":"d366ed40-af8c-42be-86f2-bb90b11a659e","incomingCitationCount":1,"keyword":["Botswana","Okavango Deleta","Africa","Climate and climate change","greenhouse gas","methane","Cyperus papyrus","Papyrus sedge","wetland","Permanent wetland"],"keywordsOther":["greenhouse gas","methane","Cyperus papyrus","Papyrus sedge","wetland","Permanent wetland"],"keywordsPlace":["Botswana","Okavango Deleta","Africa"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Raw data from the eddy-covariance instrumentation were processed into half-hourly fluxes using the EddyPro software package version 7.0.6 and quality controlled by Dr Helfter. An automatic weather station recorded recorded air temperature, pressure, relative humidity, wind speed and wind direction, total solar radiation and photosynthetically active radiation (PAR).\nData from both instruments were downloaded, processed and deposited into the EIDC as a comma separted value (.csv) file.","locations":["POLYGON((21.451 -20.128, 21.451 -18.48, 23.593 -18.48, 23.593 -20.128, 21.451 -20.128))"],"metadataDate":"2026-09-15T08:42:19.000Z","orcid":["0000-0001-5773-4652","0000-0002-2607-5399","0000-0001-8659-6092"],"organisation":["UK Centre for Ecology & Hydrology","University of Botswana","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-05-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d366ed40-af8c-42be-86f2-bb90b11a659e","10.5285/d366ed40-af8c-42be-86f2-bb90b11a659e","doi:10.5285/d366ed40-af8c-42be-86f2-bb90b11a659e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01encsj80","https://ror.org/04xw4m193"],"shortenedDescription":"The data resource consists of half hourly time series of heat (latent and sensible) and trace gas (carbon dioxide and methane) fluxes obtained by eddy-covariance, gas concentrations and ancillary meteorological data (e.g. air temperature, relative humidity, pressure,…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Methane and carbon dioxide fluxes from a permanent wetland in the Okavango Delta, Botswana, 2018-2020","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","danor"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}