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These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McCarney","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Tilbury","Turner","Tyson","Watson","Whittaker","Wood"],"fullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McCarney, B.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Tilbury, C.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C.","UK Environmental Change Network"],"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T.","C. "],"identifier":"5aeda581-b4f2-4e51-b1a6-890b6b3403a3","incomingCitationCount":6,"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","UK Environmental Change Network (ECN)","Biodiversity","Aglais io","Aglais urticae","Anthocharis cardamines","Apatura iris","Aphantopus hyperantus","Argynnis adippe","Argynnis aglaja","Argynnis paphia","Aricia agestis","Aricia artaxerxes","Boloria euphrosyne","Boloria selene","Callophrys rubi","Celastrina argiolus","Coenonympha pamphilus","Coenonympha tullia","Colias croceus","Cupido minimus","Erebia aethiops","Erynnis tages","Euphydryas aurinia","Favonius quercus","Gonepteryx rhamni","Hamearis lucina","Hesperia comma","Hipparchia semele","Lasiommata megera","Leptidea juvernica","Leptidea sinapis","Lycaena phlaeas","Maculinea arion","Maniola jurtina","Melanargia galathea","Melitaea athalia","Melitaea cinxia","Ochlodes sylvanus","Papilio machaon","Pararge aegeria","Pieris brassicae","Pieris napi","Pieris rapae","Plebejus argus","Polygonia c-album","Polyommatus bellargus","Polyommatus coridon","Polyommatus icarus","Pyrgus malvae","Pyronia tithonus","Satyrium pruni","Satyrium w-album","Thecla betulae","Thymelicus acteon","Thymelicus lineola","Thymelicus sylvestris","Vanessa atalanta","Vanessa cardui"],"keywordsOther":["Aglais io","Aglais urticae","Anthocharis cardamines","Apatura iris","Aphantopus hyperantus","Argynnis adippe","Argynnis aglaja","Argynnis paphia","Aricia agestis","Aricia artaxerxes","Boloria euphrosyne","Boloria selene","Callophrys rubi","Celastrina argiolus","Coenonympha pamphilus","Coenonympha tullia","Colias croceus","Cupido minimus","Erebia aethiops","Erynnis tages","Euphydryas aurinia","Favonius quercus","Gonepteryx rhamni","Hamearis lucina","Hesperia comma","Hipparchia semele","Lasiommata megera","Leptidea juvernica","Leptidea sinapis","Lycaena phlaeas","Maculinea arion","Maniola jurtina","Melanargia galathea","Melitaea athalia","Melitaea cinxia","Ochlodes sylvanus","Papilio machaon","Pararge aegeria","Pieris brassicae","Pieris napi","Pieris rapae","Plebejus argus","Polygonia c-album","Polyommatus bellargus","Polyommatus coridon","Polyommatus icarus","Pyrgus malvae","Pyronia tithonus","Satyrium pruni","Satyrium w-album","Thecla betulae","Thymelicus acteon","Thymelicus lineola","Thymelicus sylvestris","Vanessa atalanta","Vanessa cardui"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"keywordsProject":["UK Environmental Change Network (ECN)"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Data are collected from the UK Environmental Change Network (ECN) terrestrial sites while walking a defined transect at all of ECN's terrestrial sites using a standard protocol. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:41:27.000Z","orcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338"],"organisation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-11-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5aeda581-b4f2-4e51-b1a6-890b6b3403a3","10.5285/5aeda581-b4f2-4e51-b1a6-890b6b3403a3","doi:10.5285/5aeda581-b4f2-4e51-b1a6-890b6b3403a3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"Butterfly data from the UK Environmental Change Network (ECN) terrestrial sites. Counts of individual species are recorded. These data are collected while walking a defined transect at all of ECN's terrestrial sites using a standard protocol. They represent continuous…","state":"published","temporalExtentText":"Data collection started in 1993","title":"UK Environmental Change Network (ECN) butterfly data: 1993-2015","topic":["0/Biodiversity/"],"version":1.0,"view":["public","kath","srennie"]},{"authorAffiliation":["Bangor University","University of Liverpool"],"authorFamilyName":["Robins","Lyddon"],"authorFullName":["Robins, P.","Lyddon, C."],"authorGivenName":["P.","C."],"authorOrcid":["0000-0001-9503-9845"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/04xs57h96"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset  contains the dates and magnitudes of extreme river discharge and associated skew surge peaks for UK estuaries between 1984 and 2013. The lag time between the drivers is also provided. \n\nThirty years of river discharge and sea level data for 126 estuaries around the UK were analysed. The river discharge and tide gauge data were used at a 15-minute temporal resolution. A peaks over threshold analysis was completed to identify peaks in the river discharge record which exceeded the 95th percentile. The largest skew surge associated with each extreme discharge event was identified, and saved if this value also exceeded the 95th percentile. \n","documentType":"GEMINI_DOCUMENT","familyName":["Robins","Lyddon"],"fullName":["Robins, P.","Lyddon, C."],"funder":["Natural Environment Research Council"],"givenName":["P.","C."],"grant":["NE/V004239/1"],"identifier":"d895fadb-d762-441a-9f3f-1ebe1cbabfa7","incomingCitationCount":0,"keyword":["coast","estuary","combination hazard","compound flooding","flood risk"],"keywordsOther":["coast","estuary","combination hazard","compound flooding","flood risk"],"licence":"Open government licence","lineage":"Observed total water level (TWL, mODN) data were obtained from 27 class-A tide gauges, which form part of the UK National A-Class Tide Gauge Network, from the British Oceanographic Data Centre (BODC). Skew surge (S, m) was calculated from the detrended TWL. It is the difference between the maximum observed TWL and the maximum predicted TWL based on astronomical tidal constituents for every 12.42-h tidal cycle, and the time of maximum TWL  was assigned to each S value. \n\nRiver discharge measurements were obtained from the Environmental Agency, Natural Resources Wales, and the Scottish Environment Protection Agency for 265 rivers across Britain. Discharge (Q) measurements were taken from the most downstream, non-tidal gauges on each river. River gauges were then selected based on two criteria; 1) they recorded 30 years of discharge from 01 January 1984 to 31 December 2013 (with no data gaps), and 2) they recorded a maximum discharge during this period that exceeded 50 m3 /s to identify rivers that could potentially contribute to flooding.  This set 30-year period (1984−2013) was selected to ensure consistency between gauges and to maximise the number of gauges with full data included in the analysis. These criteria isolated 126 gauges, located in 126 distinct estuaries. \n\nA peaks over threshold analysis was then carried out on these data to identify co-occurrences between extreme river discharge and skew surge peaks. The dates and magnitudes of these co-occurrences were recorded in Microsoft Excel spreadsheets (one for each catchment), and these were converted to .csv files.   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The lag time between the drivers is also provided. \n\nThirty years of river discharge and sea level data for 126 estuaries…","state":"published","temporalExtentText":"Data collected from 1984 to 2013","title":"Extreme river discharge and associated tide gauge co-occurrences from UK estuaries 1984-2013 ","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Newcastle University"],"authorFamilyName":["Pritchard"],"authorFullName":["Pritchard, D."],"authorGivenName":["D."],"authorOrcid":["0000-0002-9215-7210"],"authorRor":["https://ror.org/01kj2bm70"],"availability":"Available","catalogue":"eidc","dataFormat":["Python","yaml","Comma-separated values (CSV)"],"description":"This dataset contains the stochastic Rainfall and Weather GENerator (RWGEN) model and observational historical climate inputs for UK applications. 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A user may also choose to use alternative data for model input.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Pritchard"],"fullName":["Pritchard, D."],"funder":["Natural Environment Research Council"],"givenName":["D.","David"],"grant":["NE/W007037/1"],"identifier":"44c577d3-665f-40de-adce-74ecad7b304a","incomingCitationCount":1,"keyword":["Climate and climate change","Modelling","RWGEN","stochastic","model","rainfall","precipitation","weather","temperature","potential evapotranspiration","python"],"keywordsOther":["RWGEN","stochastic","model","rainfall","precipitation","weather","temperature","potential evapotranspiration","python"],"keywordsTheme":["Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"The model was developed within the UK Research and Innovation (UKRI)/UKMO UK Climate Resilience Programme as part of project NE/W007037/1. The model is provided as a Python package, with installation instructions, examples and documentation. 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Further spot checks were undertaken to confirm that the extraction, processing and reformatting appear to have worked satisfactorily.\n\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T21:16:06.000Z","orcid":["0000-0002-9215-7210"],"organisation":["Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-17T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/44c577d3-665f-40de-adce-74ecad7b304a","10.5285/44c577d3-665f-40de-adce-74ecad7b304a","doi:10.5285/44c577d3-665f-40de-adce-74ecad7b304a"],"resourceType":"Model","rightsHolder":["Newcastle University"],"ror":["https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the stochastic Rainfall and Weather GENerator (RWGEN) model and observational historical climate inputs for UK applications. The model simulates one or more stochastic realisations of any length for rainfall (mm), temperature (°C) and potential…","state":"published","temporalExtentText":"Data collected from 1853 to 2020","title":"Code and UK observation-based historical climate input data for the Rainfall and Weather GENerator (RWGEN) stochastic model","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Jackson"],"authorFullName":["Jackson, T."],"authorGivenName":["T."],"authorOrcid":["0000-0001-8143-6161"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"Strain data measured on the trunks of nineteen trees in the Danum Valley, Malaysia. It also contains wind speed data measured using anemometers attached to emergent trees nearby. This data can be used to extract the fundamental swaying frequencies of these trees, and to quantify the relationship between wind speed and bending strain and so estimate wind damage risk. This data would be useful for anyone studying the interaction between wind and trees. The tallest tree in this data set is approximately 51 m tall.","documentType":"GEMINI_DOCUMENT","familyName":["Jackson"],"fullName":["Jackson, T."],"givenName":["T.","Toby"],"identifier":"657f420e-f956-4c33-b7d6-98c7a18aa07a","incomingCitationCount":2,"keyword":["Danum Valley","Malaysia","Climate and climate change","Biodiversity","strain gauge","wind damage risk","bending strain","tall trees","tropical forest","wind","tree"],"keywordsOther":["strain gauge","wind damage risk","bending strain","tall trees","tropical forest","wind","tree"],"keywordsPlace":["Danum Valley","Malaysia"],"keywordsTheme":["Climate and climate change","Biodiversity"],"licence":"Open government licence","lineage":"This data was collected from October 2016 to April 2017 in Danum Valley, Malaysia. The data was initially saved on Campbell data loggers and Raspberry Pis and then transferred to a laptop. The individual data files were consolidated into a single file per data logger and this raw data is provided in the repository. This raw data was calibrated and filtered and the pairs of strain gauges combined into a single per tree bending strain signal. This processed data is also provided in the repository. No processing was necessary for the wind data and this is provided in its raw form.","locations":["POLYGON((107.622 -4.828, 107.622 7.929, 120.059 7.929, 120.059 -4.828, 107.622 -4.828))"],"metadataDate":"2026-09-15T08:38:38.000Z","orcid":["0000-0001-8143-6161"],"organisation":["University of Oxford","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["10.5285/657f420e-f956-4c33-b7d6-98c7a18aa07a","doi:10.5285/657f420e-f956-4c33-b7d6-98c7a18aa07a","https://catalogue.ceh.ac.uk/id/657f420e-f956-4c33-b7d6-98c7a18aa07a"],"resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"Strain data measured on the trunks of nineteen trees in the Danum Valley, Malaysia. It also contains wind speed data measured using anemometers attached to emergent trees nearby. This data can be used to extract the fundamental swaying frequencies of these trees, and…","state":"published","temporalExtentText":"Data collected from 2016 to 2017","title":"A time-series of strains in response to wind measured on 19 trees in Danum Valley, Malaysia","topic":["0/Climate and climate change/","0/Biodiversity/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","O'Neil","Hunt","Marston"],"authorFullName":["Rowland, C.S.","O'Neil, A.W.","Hunt, M.L.","Marston, C.G."],"authorGivenName":["Clare S","Aneurin W","Merryn L","Christopher G"],"authorOrcid":["0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-4435-3644","0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 25m pixel dataset representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty. A full description of this and all UKCEH LCM2025 products are available from the LCM2025 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","O'Neil","Hunt","Marston"],"fullName":["Rowland, C.S.","O'Neil, A.W.","Hunt, M.L.","Marston, C.G."],"funder":["Natural Environment Research Council"],"givenName":["Clare S","Aneurin W","Merryn L","Christopher G"],"grant":["NE/Y006208/1"],"identifier":"995f3744-0f95-426f-9ce7-b2fa729f9f4a","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","Biodiversity Action Plan","Land cover map","Remote sensing","earth observation","land cover","habitat"],"keywordsOther":["Biodiversity Action Plan","Land cover map","Remote sensing","earth observation","land cover","habitat"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier is used to classify four composite satellite images representing per season median surface reflectance, based on training data comprising locations of known land cover for 21 land cover classes. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.\n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2025 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25 m rasterised land parcels product is created by rasterising the corresponding land parcel product.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-10-13T08:50:16.000Z","orcid":["0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-4435-3644","0000-0002-2070-2187"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-10-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/995f3744-0f95-426f-9ce7-b2fa729f9f4a","10.5285/995f3744-0f95-426f-9ce7-b2fa729f9f4a","doi:10.5285/995f3744-0f95-426f-9ce7-b2fa729f9f4a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 25m pixel dataset representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the…","state":"published","temporalExtentText":"Data collected from 2025 to 2025","title":"Land Cover Map 2025 (LCM2025 - 25m rasterised land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"authorFullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"authorGivenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Continuous measurements of meteorological parameters from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2006. Automatic weather stations were installed at 7 sites in these catchments to record hourly values of soil heat flux, relative humidity, atmospheric pressure, solar and net radiation (upward and downward short and long wave), rainfall, soil temperature at 10 and 30 cm, air temperature and wind direction and speed for differing periods at the varying sites. The instruments were installed as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline metrological data across the LOCAR catchments.","documentType":"GEMINI_DOCUMENT","familyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"fullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"givenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"identifier":"d55a6607-7da7-4b6e-8b28-f5fbd63884a9","incomingCitationCount":0,"keyword":["The Lowland Catchment Research Programme (LOCAR)","meteorology"],"keywordsOther":["meteorology"],"keywordsProject":["The Lowland Catchment Research Programme (LOCAR)"],"licence":"Open government licence","lineage":"The automatic weather stations were programmed to routinely take all the readings for the various variables on an hourly basis and store them on the connected logger. The Catchment Service Team in each catchment was responsible for installing, maintaining and downloading the loggers at each site on a regular basis. The data are raw and have not been quality controlled.","locations":["POLYGON((-3 50.5, -3 53.2, -0.8 53.2, -0.8 50.5, -3 50.5))"],"metadataDate":"2026-07-25T14:19:54.000Z","organisation":["Centre for Ecology & Hydrology","University of Birmingham","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1426781518693","CEH:EIDC::1426781518693","https://catalogue.ceh.ac.uk/id/d55a6607-7da7-4b6e-8b28-f5fbd63884a9","10.5285/d55a6607-7da7-4b6e-8b28-f5fbd63884a9","doi:10.5285/d55a6607-7da7-4b6e-8b28-f5fbd63884a9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Continuous measurements of meteorological parameters from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2006. Automatic weather stations were installed at 7 sites in these catchments to record hourly values of soil heat flux, relative…","state":"published","temporalExtentText":"Data collected from 2002 to 2006","title":"Continuous measurements of meteorological parameters (2002-2006) [LOCAR]","version":1.0,"view":["public","cit"]},{"authorAffiliation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","UK Environment Agency","Agricultural University of Athens"],"authorFamilyName":["Ainsworth","Keller","Bachiller-Jareno","Jürgens","Eastman","Sadykova","Rizzo","Scarlett","Peirson","Eley","Antoniou","Cowx","Johnson","Nunn"],"authorFullName":["Ainsworth, R.F.","Keller, V.","Bachiller-Jareno, N.","Jürgens, M.D.","Eastman, M.","Sadykova, D.","Rizzo, C.","Scarlett, P.","Peirson, G.","Eley, F.","Antoniou, V.","Cowx, I.G.","Johnson, A.C.","Nunn, A.D."],"authorGivenName":["R.F.","V.","N.","M.D.","M.","D","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"authorOrcid":["0000-0001-6669-0356","0000-0003-4489-5363","0000-0001-9732-6725","0000-0002-6526-589X","0000-0002-8212-5872","0000-0002-3930-5974","0000-0001-6242-8158","0000-0001-6011-4075","0000-0003-1570-3764","0000-0001-8370-1221"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains monthly/annual time series of species-specific abundances and covariates for 137 targeted larval/juvenile fish surveys at sites in a range of English lowland rivers. Larval/juvenile fish data come from two different sources: The Environment Agency’s (EA) National Fish Population Database (NFPD) between 1974 and 2017 and a dataset created by the University of Hull (UoH) between 1984 and 2017 inclusive. Biological data consists of density estimates of each fish species from each survey (per metre squared) and also the average length of specified species at the end of their first year of growth. Covariate data include habitat quality indicator (River Habitat Survey), climatic variables (Gulf Stream and North Atlantic Oscillation indices), land-use change, river hydrology, water temperature, effluent dilution factor and concentrations of chemical determinands. This dataset was created as larvae and juveniles may be particularly useful indicators and respond differently than older fish to environmental stressors.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/S000100/2).","documentType":"GEMINI_DOCUMENT","familyName":["Ainsworth","Keller","Bachiller-Jareno","Jürgens","Eastman","Sadykova","Rizzo","Scarlett","Peirson","Eley","Antoniou","Cowx","Johnson","Nunn"],"fullName":["Ainsworth, R.F.","Keller, V.","Bachiller-Jareno, N.","Jürgens, M.D.","Eastman, M.","Sadykova, D.","Rizzo, C.","Scarlett, P.","Peirson, G.","Eley, F.","Antoniou, V.","Cowx, I.G.","Johnson, A.C.","Nunn, A.D."],"funder":["Natural Environment Research Council"],"givenName":["R.F.","V.","N.","M.D.","M.","D","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"grant":["NE/S000100/2"],"identifier":"c904c5f0-7f21-4759-a7d4-c262da230b53","incomingCitationCount":0,"keyword":["England","Environmental survey","Water quality","pollution","hydrology","river","Larval fish","Juvenile fish","NFPD","Juvenile fish densities and pollution in English rivers","land use","Larval fish densities and pollution in English rivers","chemical","fish","Fish fry","land use change"],"keywordsOther":["pollution","hydrology","river","Larval fish","Juvenile fish","NFPD","Juvenile fish densities and pollution in English rivers","land use","Larval fish densities and pollution in English rivers","chemical","fish","Fish fry","land use change"],"keywordsPlace":["England"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Fish Data\nJuvenile fish density data was collected from two sources: the EA NFPD \"Freshwater Fish Counts for all species for all Areas and all Years\" dataset (1974-2017) and the UoH fish count dataset (1984-2017). Fish counts were converted into densities (numbers per m-2) by dividing species counts by the sampling area (converted NFPD units from 100 m-2 to m-2 to match UoH data). To determine the mean length of juvenile fish (chub, roach, common bream, dace, bleak, gudgeon, minnow, and three-spined sticklebacks) at the end of the growing season (last surveys between August and October), length frequency histograms were created for each species and survey using R 4.2.1. Only individuals in their first year were considered in the calculation, providing the mean length of first-year fish at the end of the growing season for each survey. Species in the NFPD dataset were assigned Chempop Species Codes adapted from EA species codes, and when multiple EA species codes matched one Chempop Species Code, their densities were summed for each survey. Data without a Chempop species code (e.g., hybrids or broad categories like \"all species\") were removed, while surveys with zero fish captures were retained in the dataset.\n\nHabitat Quality indicators\nHabitat scores were obtained from the Environment Agency's River Habitat Survey (RHS) dataset, with ArcGIS used to link fish sites to their nearest RHS site. Two key scores were extracted: the Habitat Modification Score (HMS), which reflects the degree of artificial channel modification, and the Habitat Quality Assessment (HQA), which provides a broad assessment of habitat quality based on the diversity and abundance of natural features in the river channel and riparian zone. The HQA is suitable for comparing similar river types. To enable comparisons with data from 1994, new rules for flow-types and channel vegetation were established and applied across all sites, resulting in the HQA adjusted for 1994 data. The most recent RHS survey data was extracted for this analysis.\n\nLand Use\nLand use in the catchment upstream of fish sites (NFPD) were calculated from the UKCEH Land Cover Map 2015 (25m raster, GB). The 21 land cover types were grouped to cover four broad categories of: Woodland, Arable, Seminatural and Urban. The catchment tool in DataLabs was used to extract and process the data, which were summed into percentage and areas of each land use group. The sum of the percentages of the grouped categories were checked and were found to fall in the range of 99.96-100.04 %. \n\nWater Temperature\nTo assess its influence on fish growth, the cumulative annual degree-days ≥12 degC, indicating the total temperature sum for days exceeding 12 degC in the year prior to the survey date, was calculated. Water temperature data was sourced from the EA Surface Water Temperature Archive for sites with at least 3 years of records, and daily mean air temperature was collected from the Climate Hydrology and Ecology Research Support System (CHESS). The Baseflow Index for each water temperature gauging station and fish site was determined using the UKCEH National River Flow Archive. Generalized additive mix modeling (GAMM) was chosen to model water temperature, accounting for seasonal and year-to-year variation in water temperature, along with the nonlinear relationship between air and water temperature. Seven GAMM models, each covering a 0.1 BFI range, were developed, with the best model (Model: month, time, and air temperature, using ARMA structures) identified based on evaluation metrics like RMSE, NRMSE, and SI. This model was employed to estimate water temperature for fish sites.\n\nRiver Flow\nRiver flow data was sourced from the National River Flow Archive (NRFA) hosted by UKCEH and matched with fish sites based on the shortest distance along the river network. Data was extracted for the 12 months leading up to each fish survey, and various statistics were computed, including mean, median, standard deviation, coefficient of variation, Q5/mean, and Q95/mean. Additionally, threshold statistics were calculated for different percentiles (5, 25, 75, and 95), encompassing the threshold discharge value (estimated discharge quantile), days exceeded, number of exceedance events, and average event length.\n\nWater Quality-Effluent Dilution factor\nTo gauge river pollution levels across England, the study used the LowFlows2000-WQX (lowFlows2000 Water Quality eXtension) model, which characterizes wastewater discharge by wastewater treatment works (WWTWs) in terms of location, domestic population served, dry weather flow (DWF), and treatment type. It's important to note that only significant WWTWs were considered for computational purposes, based on specific criteria: those in catchments contributing to 95% of each hydrometric area and those accounting for 95% of the total discharged DWF to the estuary, ranked by DWF. The model produced predicted wastewater percentages for all reaches in the modelled river network, which is a truncated version of the 1:50,000 digital river network derived from the UK Ordnance Survey Panorama Data Set. To estimate the percentage of wastewater at each fish site, a python script was used to link each site to the nearest reach in the river network. The results are reported in terms of mean, standard deviation, 90th percentile, and 95th percentile, denoted as EDF_Mn, EDF_SD, EDF_Q90, and EDF_Q95, respectively.\n\nChemical Determinands\nChemical concentration data spanning 1960-2017, involving 41 determinands, was extracted from the UK's Environment Agency's Water Quality Data Archive. Fish sites were matched to the nearest chemical determinand site using specific criteria like site distance, sample count, and data collection timeframe through ArcGIS. To identify and exclude erroneous data, a threshold of 10 mg/l was set for some determinands, with values exceeding this threshold omitted from statistical calculations. Handling values below the Limit of Quantification (LoQ) involved three options: setting values to LoQ (LoQ1), setting them to 0 (LoQ2), or setting them to LoQ/2 (LoQ3). For the 12 months preceding the surveys at each fish site, various statistics were computed, including minimum, maximum, median, mean, standard deviation, total sample count, and counts of samples below and above the LoQ. Some sites had to be excluded from the final dataset due to licensing restrictions.\n\nAltitude\nElevation values for each fish site were extracted from the Integrated Hydrological Digital Terrain Model (IHDTM) using Arc GIS' Extract Multi Values to Points' tool. Two elevation values were calculated: Elevation values corresponding to the value of the IHDTM cell centre. Elevation values corresponding to an average value calculated from the adjacent cells with valid values using bilinear interpolation; NoData values were ignored in the interpolation unless all adjacent cells were NoData.\n\nClimate variables\nThe Gulf Stream Index (GSI) data spanning 1975-2017 was obtained from the Plymouth Marine Laboratory website (http://www.pml-gulfstream.org.uk/data.htm). Annual mean data were employed due to substantial month-to-month variability resulting from Gulf Stream meandering (Plymouth Marine Laboratory, 2019). Positive GSI values signify a northward shift from the long-term mean location, while negative values indicate a southward movement.\n\nData for the North Atlantic Oscillation Index (NAOI) spanning 1975-2017 was obtained from the National Centre for Atmospheric Research website (https://www.ncei.noaa.gov/access/monitoring/nao). The NAOI's winter (December-March) station-based index relies on the normalized sea level pressure (SLP) difference between Lisbon, Portugal, and Reykjavik, Iceland, dating back to 1864. Positive NAOI values indicate stronger westerlies over mid-latitudes, more intense North Atlantic weather systems, and wetter/milder conditions in Western Europe.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T14:03:40.000Z","orcid":["0000-0001-6669-0356","0000-0003-4489-5363","0000-0001-9732-6725","0000-0002-6526-589X","0000-0002-8212-5872","0000-0002-3930-5974","0000-0001-6242-8158","0000-0001-6011-4075","0000-0003-1570-3764","0000-0001-8370-1221"],"organisation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","UK Environment Agency","Agricultural University of Athens","NERC EDS Environmental Information Data Centre","The University of Hull"],"publicationDate":"2024-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c904c5f0-7f21-4759-a7d4-c262da230b53","10.5285/c904c5f0-7f21-4759-a7d4-c262da230b53","doi:10.5285/c904c5f0-7f21-4759-a7d4-c262da230b53"],"resourceType":"Dataset","rightsHolder":["The University of Hull"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains monthly/annual time series of species-specific abundances and covariates for 137 targeted larval/juvenile fish surveys at sites in a range of English lowland rivers. Larval/juvenile fish data come from two different sources: The Environment Agency’s…","state":"published","temporalExtentText":"Data collected from 1984 to 2017","title":"Larval and juvenile fish abundance, habitat, water quality, flow and climate data from English rivers, 1984-2017","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Dunbar","Murphy","Clarke","Davies","Scarlett"],"authorFullName":["Dunbar, M.","Murphy, J.","Clarke, R.","Davies, C.","Scarlett, P."],"authorGivenName":["M.","J.","R.","C.","P."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"River Habitat Survey (RHS) data from rivers and streams surveyed in 2007 as part of the Countryside Survey project. River Habitat Survey (RHS) is an assessment of the physical structure of freshwater streams and rivers based on a standard 500m length sample unit. It does not require specialist geomorphological or botanical expertise but consistent recognition of features included on the form is essential. To ensure consistency of recording all surveyors must be accredited, and recording follows standard protocols. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. 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. Headwater stream surveys have been carried out in 1990, 1998 and 2007 with repeated visits to the majority of sites. 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 headwater stream data, soil data, habitat areas, vegetation species data and linear habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Dunbar","Murphy","Clarke","Davies","Scarlett"],"fullName":["Dunbar, M.","Murphy, J.","Clarke, R.","Davies, C.","Scarlett, P."],"givenName":["M.","J.","R.","C.","P."],"identifier":"40da9509-999f-4d61-85fe-59d7b32e7ca6","incomingCitationCount":0,"keyword":["Countryside Survey","Environmental survey","Water quality","river","river bed","morphology","habitat"],"keywordsOther":["river","river bed","morphology","habitat"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Non-Open government licence","lineage":"The data were recorded onto electronic field tablets in the summer of 2007 by professional surveyors. Data were recorded from up to 591 1km squares sited across Britain, selected by random stratified sample.  Data are managed by the Centre for Ecology & Hydrology, Lancaster.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T21:14:42.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40da9509-999f-4d61-85fe-59d7b32e7ca6","10.5285/40da9509-999f-4d61-85fe-59d7b32e7ca6","doi:10.5285/40da9509-999f-4d61-85fe-59d7b32e7ca6"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"River Habitat Survey (RHS) data from rivers and streams surveyed in 2007 as part of the Countryside Survey project. River Habitat Survey (RHS) is an assessment of the physical structure of freshwater streams and rivers based on a standard 500m length sample unit. It…","state":"published","temporalExtentText":"Data collected from 2007 to 2007","title":"River Habitat Survey (RHS) data 2007 [Countryside Survey] ","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rameshwaran","Bell","Davies","Rhodes-Smith"],"authorFullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Rhodes-Smith, M.D."],"authorGivenName":["Ponnambalam","Victoria A","Helen N.","Mark D."],"authorOrcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0001-5256-1107"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF","Comma-separated values (CSV)"],"description":"The datasets provide Grid-to-Grid (G2G) hydrological model estimates of daily mean river flow (m3s-1) on a 1 km x 1 km grid. The river flows provided here are generated using the G2G model for Great Britain driven by observation-based meteorological data. They provide spatially consistent simulations of natural and anthropogenically influenced daily mean river flows. The natural flows are for the period 1st January 1961 to 31st December 2021, the observed-anthropogenically influenced flows are for 1st January 1999 to 31st December 2014 and the mean-anthropogenically influenced flows are for 1st January 1961 to 31st December 2021.\n\nThe G2G hydrological model spatial river flow simulations are available as follows: \n(a) Natural river flows across the whole of Great Britain, excluding Orkney and Shetland islands \n(b) Anthropogenically influenced river flows across the whole of England","documentType":"GEMINI_DOCUMENT","familyName":["Rameshwaran","Bell","Davies","Rhodes-Smith"],"fullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Rhodes-Smith, M.D."],"funder":["Natural Environment Research Council","UK Department for Energy Security and Net Zero (DESNZ)"],"givenName":["Ponnambalam","Victoria A","Helen N.","Mark D.","P."],"grant":["NE/X019063/1","NE/L010208/1","NE/R016429/1"],"identifier":"d0588746-9632-4c75-94f2-67e20ba34cad","incomingCitationCount":0,"keyword":["Hydrology","abstractions","anthropogenic influence","discharges","hands-off-flow","hydrology","river flows"],"keywordsOther":["abstractions","anthropogenic influence","discharges","hands-off-flow","hydrology","river flows"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"The Grid-to-Grid model (G2G) is a grid-based, spatially distributed hydrological model which has recently been enhanced to take account of recorded monthly abstractions and annual discharges. While in practice, hydrological modelling has been undertaken for mainland Britain, model estimates for anthropogenically influenced catchments are only available for English catchments, albeit with a modest overlap of the Welsh border. This is because, to date, abstraction and discharge data are only available for England.","locations":["POLYGON((-7.487 49.806, -7.487 58.704, 2.072 58.704, 2.072 49.806, -7.487 49.806))"],"metadataDate":"2026-07-25T14:17:14.000Z","orcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0001-5256-1107"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d0588746-9632-4c75-94f2-67e20ba34cad","10.5285/d0588746-9632-4c75-94f2-67e20ba34cad","doi:10.5285/d0588746-9632-4c75-94f2-67e20ba34cad"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The datasets provide Grid-to-Grid (G2G) hydrological model estimates of daily mean river flow (m3s-1) on a 1 km x 1 km grid. The river flows provided here are generated using the G2G model for Great Britain driven by observation-based meteorological data. They provide…","state":"published","supplementalDescription":["Rameshwaran, P., Bell, V. A., Brown, M. J., Davies, H. N., Kay, A. L., Rudd, A. C., & Sefton, C. (2021). Use of Abstraction and Discharge Data to Improve the Performance of a National‐Scale Hydrological Model. Water Resources Research, 58(1).","Rameshwaran, P., Bell, V. A., Davies, H. N., Sadler, P., Beverton, A., & Thornton, R. (2025). DATA DOCUMENTATION - Gridded actual groundwater, surface water and tidal water abstraction, discharge and Hands-off Flow datasets for England (1999 to 2014). Zenodo.","Rameshwaran, P., Bell, V. A., Davies, H. N., Sadler, P., Beverton, A., Thornton, R., & Rhodes-Smith, M. (2025). Gridded actual groundwater, surface water and tidal water abstraction, discharge and Hands-off Flow datasets for England (1999 to 2014) [Dataset]. NERC EDS Centre for Environmental Data Analysis.","Rameshwaran, P., Bell, V. A., Davies, H. N., Baron, H., Keller, V., & Hannaford, J. (2025). DATA DOCUMENTATION - CS-NOW: Gridded future projections of natural and artificially influenced river flows (1980 to 2080). Zenodo.","Rameshwaran, P., Bell, V. A., Davies, H. N., Baron, H., Keller, V., Hannaford, J., & Rhodes-Smith, M. (2025). CS-NOW: Gridded future projections of natural and artificially influenced river flows (1980 to 2080) [Dataset]. NERC EDS Centre for Environmental Data Analysis."],"temporalExtentText":"Data collected from 1961 to 2021","title":"Grid-to-Grid model simulations of daily anthropogenically influenced river flows for England and natural flows for Great Britain, 1961-2021","topic":["0/Hydrology/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Imperial College London"],"authorFamilyName":["Osborne","Savolainen"],"authorFullName":["Osborne, O.","Savolainen, V."],"authorGivenName":["O.","V."],"authorOrcid":["0000-0002-1213-1169","0000-0001-5350-9984"],"authorRor":["https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset describes the effect of soil type, soil sterilisation and drought treatment on survival rate and growth of Howea belmoreana and Howea forsteriana, grown from seed in an experiment on Lord Howe Island for 30 months. The data describe the number of surviving plants per replicate, as well as height and number of leaves of individual plants at two timepoints. The work was carried out by Dr Owen Osborne and Prof. Vincent Savolainen, Imperial College London, and was funded by the NERC grant NE/M015742/1.","documentType":"GEMINI_DOCUMENT","familyName":["Osborne","Savolainen"],"fullName":["Osborne, O.","Savolainen, V."],"funder":["Natural Environment Research Council"],"givenName":["O.","V.","Owen"],"grant":["NE/M015742/1"],"identifier":"eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37","incomingCitationCount":0,"keyword":[" Lord Howe Island","Evolutionary ecology","Howea belmoreana","Howea forsteriana"],"keywordsOther":["Howea belmoreana","Howea forsteriana"],"keywordsPlace":[" Lord Howe Island"],"keywordsTheme":["Evolutionary ecology"],"licence":"Open government licence","lineage":"The dataset describes the results of a long-term common garden experiment. Seeds of Howea belmoreana and Howea forsteriana were planted in 140 boxes (50 seeds per box; 7000 seeds in total) and grown outdoors under shade canopies at the Lord Howe Island Nursery, Lord Howe Island, New South Wales, Australia. Seeds were collected wild from six locations on Lord Howe Island. They were then planted in two native soil types from the island: calcareous and volcanic soil. For half of the replicates for each soil type-species combination, the soil was sterilised with an industrial soil steamer. Boxes were then sealed and left to germinate and establish. After 14 months, survival rate was recorded for each replicate box and plant height and leaf number was recorded for all surviving seedlings. At this point all seedlings were re-potted into individual pots and their order was randomised. After another 16 months, seedling survival, leaf number and height were again recorded. Half of the seedlings for each soil type-species-sterilisation treatment combination were then subjected to drought conditions for two weeks. Final survival rates were recoded two months after this. The data package contains two datasets. The first records the survival rate of each replicate (50 seed box) at each time point. The second records height, number of leaves and survival for each surviving seedling. Full materials and methods are included in the supplementary information.","locations":["POLYGON((159.03 -31.607, 159.03 -31.489, 159.119 -31.489, 159.119 -31.607, 159.03 -31.607))"],"metadataDate":"2026-09-15T08:44:39.000Z","orcid":["0000-0002-1213-1169","0000-0001-5350-9984"],"organisation":["Imperial College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-01-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37","10.5285/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37","doi:10.5285/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37"],"resourceType":"Dataset","ror":["https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset describes the effect of soil type, soil sterilisation and drought treatment on survival rate and growth of Howea belmoreana and Howea forsteriana, grown from seed in an experiment on Lord Howe Island for 30 months. The data describe the number of surviving…","state":"published","temporalExtentText":"Data collected from 2015 to 2018","title":"Phenotypic measurements of Howea belmoreana and Howea forsteriana from a common garden experiment on Lord Howe Island","topic":["0/Evolutionary ecology/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Leeds","IISER, Pune","Unaffiliated","St. Joseph's college, Calicut"],"authorFamilyName":["Gloor","Barua","Galbraith","Hegde","Sunny","Tiwari"],"authorFullName":["Gloor, E.","Barua, D.","Galbraith, D.R.","Hegde, B.","Sunny, R.","Tiwari, R."],"authorGivenName":["E.","D.","D.R.","B.","R."],"authorOrcid":["0000-0002-9384-6341","0000-0002-8761-0084","0000-0002-5555-4823","0000-0002-8723-607X","0000-0002-2191-769X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes time-series of pre-dawn and mid-day leaf water potentials for 10 tree species. The time-series covers one year with leaf water potentials measured every three months. These data when combined with hydraulic conductance vulnerability curves (also measured during this project) are an indicator of a tree's safe operating space under dry and high vapour pressure deficit conditions.\n\nThe overall purpose of the measurements made by this project is to determine eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative forest site (Sirsi).","documentType":"GEMINI_DOCUMENT","familyName":["Gloor","Barua","Galbraith","Hegde","Sunny","Tiwari"],"fullName":["Gloor, E.","Barua, D.","Galbraith, D.R.","Hegde, B.","Sunny, R.","Tiwari, R."],"givenName":["E.","D.","D.R.","B.","R.","Emanuel"],"identifier":"252b6a14-8a0e-4a6f-a879-99dff46fec71","incomingCitationCount":0,"keyword":["Tree safety margins to climate extremes","Tree traits","tropical forest","tree","leaf"],"keywordsOther":["Tree safety margins to climate extremes","Tree traits","tropical forest","tree","leaf"],"licence":"Open government licence","lineage":"Leaf water potential was measured on detached leaves using a Scholander pressure chamber (Model 1505D, PMS Instrument, Oregon, USA). Predawn water potential measurements were done between 4am to 6am/sunrise, mid-day water potentials between 12:30PM and 3PM. Measurements were made every two months over one year starting September 2020. Per species and for a given month measurements were made on one leaf each of five individuals.","locations":["POLYGON((74.823 14.6, 74.823 14.63, 74.845 14.63, 74.845 14.6, 74.823 14.6))"],"metadataDate":"2026-07-24T19:25:30.000Z","orcid":["0000-0002-9384-6341","0000-0002-8761-0084","0000-0002-5555-4823","0000-0002-8723-607X","0000-0002-2191-769X"],"organisation":["University of Leeds","IISER, Pune","Unaffiliated","St. Joseph's college, Calicut","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/252b6a14-8a0e-4a6f-a879-99dff46fec71","10.5285/252b6a14-8a0e-4a6f-a879-99dff46fec71","doi:10.5285/252b6a14-8a0e-4a6f-a879-99dff46fec71"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"shortenedDescription":"This dataset includes time-series of pre-dawn and mid-day leaf water potentials for 10 tree species. The time-series covers one year with leaf water potentials measured every three months. These data when combined with hydraulic conductance vulnerability curves (also…","state":"published","temporalExtentText":"Data collected from 2020 to 2021","title":"Leaf water potential of tropical forest tree species, Sirsi, Western Ghats, India, 2020-2021","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Macaulay Land Use Research Institute"],"authorFamilyName":["Buckland","Burt-Smith"],"authorFullName":["Buckland, S.","Burt-Smith, G."],"authorGivenName":["S.","G."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set details soil pH values and soil moisture values from experimental plots at a field site at Sourhope, Scotland, between 1998 and 2002.  Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). ","documentType":"GEMINI_DOCUMENT","familyName":["Buckland","Burt-Smith","Sier"],"fullName":["Buckland, S.","Burt-Smith, G.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["S.","G.","A."],"identifier":"a35d0ded-b422-4af3-8f74-e70249fc9788","incomingCitationCount":0,"keyword":["Sourhope field experiment site","Soil","soil moisture","soil","soil pH"],"keywordsOther":["soil moisture","soil","soil pH"],"keywordsPlace":["Sourhope field experiment site"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"On separate sampling occasions (Mar. and Sep. 1999, Mar. 2000, Mar. and Oct. 2001, Mar. 2002) soil cores were taken from the centre area of each of the experimental plot for baseline measurements. pH values were determined for each sample, block and main-plot. Soil moisture content values were also calculated for the Sep. 1999 samples.  pH was sampled before the experiment began in 1998.\nIn addition, two sets of samples were taken in Apr. 2000 and July 2003 from each of the general sampling sub-plots (S T U V) from within all the experimental plot types except the control 2 plots, and used to assess the variation in pH across the site.  Data were collected by staff employed by the Macaulay Land Use Research Institute (MLURI) at the Sourhope experimental site before being transferred to the programme data manager at the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.241 55.468, -2.241 55.48, -2.219 55.48, -2.219 55.468, -2.241 55.468))"],"metadataDate":"2026-07-25T13:17:22.000Z","organisation":["Macaulay Land Use Research Institute","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","The James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-11-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a35d0ded-b422-4af3-8f74-e70249fc9788","10.5285/a35d0ded-b422-4af3-8f74-e70249fc9788","doi:10.5285/a35d0ded-b422-4af3-8f74-e70249fc9788"],"resourceType":"Dataset","rightsHolder":["The James Hutton Institute"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/03rzp5127"],"shortenedDescription":"This data set details soil pH values and soil moisture values from experimental plots at a field site at Sourhope, Scotland, between 1998 and 2002.  Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred…","state":"published","supplementalDescription":["Website for the NERC Soil Biodiversity Programme "],"supplementalName":["Soil Biodiversity website"],"temporalExtentText":"Data collected from 1998 to 2002","title":"Baseline soil pH data from Sourhope field experiment site, Scotland, 1999-2002 [NERC Soil Biodiversity Programme]","topic":["0/Soil/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated"],"authorFamilyName":["Berenguer","Rossi","Seixas","Barlow"],"authorFullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"authorGivenName":["E.","L.C.","M.M.M.","J."],"authorOrcid":["0000-0001-8157-8792"],"authorRor":["https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes measurements of soil respiration in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from January 2015 until November 2017. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires.","documentType":"GEMINI_DOCUMENT","familyName":["Berenguer","Rossi","Seixas","Barlow"],"fullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"funder":["Natural Environment Research Council"],"givenName":["E.","L.C.","M.M.M.","J.","Erika"],"identifier":"e5f361b3-b434-4d11-9407-e5f48fe442b0","incomingCitationCount":0,"keyword":["Brazilian Amazon","Human modified tropical forests","HMTF","Land use","Soil","Forest fire","Soil respiration","forest ecology","soil","fire"],"keywordsOther":["Forest fire","Soil respiration","forest ecology","soil","fire"],"keywordsPlace":["Brazilian Amazon"],"keywordsProject":["Human modified tropical forests","HMTF"],"keywordsTheme":["Land use","Soil"],"licence":"Open government licence","lineage":"We measured total soil respiration in 20 study plots (0.25ha) distributed along a gradient of forest disturbance in Eastern Amazonia: undisturbed primary forests (n = 5), logged primary forests (n = 5), logged-and-burned primary forests (n = 5), and secondary forests (n = 5). Forest disturbance classes were based on both an analysis of canopy disturbance in a chronosequence of satellite images (1988 to 2010) and on field assessments of fire scars, charcoal, and logging debris.\n \nIn each plot, we installed five PVC collars 50 m apart. Each collar was approximately 7 cm in size and were installed so approximately 2 cm stayed belowground and 5 cm aboveground. Collars had a 10 cm diameter. After installation, all collars were left to ‘settle’ for at least a week before the first measurement.  The collar was connected to an infrared gas analyser (EGM5®) to measure the soil CO2 efflux (i.e. soil respiration). Immediately after every soil respiration measurement, both the soil temperature and humidity were measured inside and outside the collar. We also took note on the collar height. Measures were taken every month. After measuring the soil respiration, we also measured the temperature inside and outside the collar, as well as the soil moisture, the latter with the aid of a HydroSense II. \n\n","locations":["POLYGON((-55 -3.5, -55 -2.5, -54.5 -2.5, -54.5 -3.5, -55 -3.5))"],"metadataDate":"2026-07-25T14:50:06.000Z","orcid":["0000-0001-8157-8792"],"organisation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-01-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e5f361b3-b434-4d11-9407-e5f48fe442b0","10.5285/e5f361b3-b434-4d11-9407-e5f48fe442b0","doi:10.5285/e5f361b3-b434-4d11-9407-e5f48fe442b0"],"resourceType":"Dataset","ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes measurements of soil respiration in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary…","state":"published","temporalExtentText":"Data collected from 2015 to 2017","title":"Soil respiration in human-modified forests of Eastern Amazonia","topic":["0/Land use/","0/Soil/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of East Anglia","Cambridge University"],"authorFamilyName":["Ryan","Dicks"],"authorFullName":["Ryan, I.","Dicks, L.V."],"authorGivenName":["Imogen","L.V."],"authorOrcid":["0000-0003-3247-9231","0000-0002-8304-4468"],"authorRor":["https://ror.org/026k5mg93","https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data is the fruit set and marketable fruit set (percentage and success: failure) of commercial raspberry plants under four different pollination treatments. The data also includes fruit measurements (weight in grams and length and width in mms) of these fruit and the number of seeds per fruit for a subset of the collected fruits. ","documentType":"GEMINI_DOCUMENT","familyName":["Ryan","Dicks"],"fullName":["Ryan, I.","Dicks, L.V."],"funder":["Natural Environment Research Council"],"givenName":["Imogen","L.V."],"grant":["NE/N014472/1","NE/R007845/1"],"identifier":"de5b4f33-f679-4798-8daf-51a314e78204","incomingCitationCount":0,"keyword":["Agriculture","exclusion","fruit set","pollination","raspberry","ecosystem services","pollination deficit","Apis mellifera","Rubus idaeus","fruit"],"keywordsOther":["exclusion","fruit set","pollination","raspberry","ecosystem services","pollination deficit","Apis mellifera","Rubus idaeus","fruit"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Mesh bags and paintbrushes were used to exclude pollinators and deliver hand pollen supplementation to create the four pollination treatments. Scales and callipers were used to take fruit measurements and Image J software was used on photographs of a single fruits’ seeds spread on paper towels to count the number of seeds per fruit. Fruit set is presented as both success and failure and a percentage. Fruit weight is in grams to 3 decimal places and fruit length and width is in mm to 2 decimal places. Seed number is the number of seeds extracted from each fruit. \n\nThe data is across three csv files entitled Fruit_set.csv, Fruit_measurements.csv, Seed_no.csv. The data was collected on a single commercial soft fruit farm near Reading England (51°29′32″N, 000°52′28″W). The plants that fruits were collected from were from 6 different fields on the farm and were randomly selected within each field. The data was collected across 2019-2021 between June-September in each year. Crop plants were randomly selected across each field in each year; 19 in 2019 (Diamond Jubilee: n=9, Sapphire: n=10), 30 in 2020 (Diamond Jubilee: n=10, Sapphire: n=20) and 36 in 2021 (Diamond Jubilee: n=16, Sapphire: n=20). Sample size was increased in later years to provide contingency, since some inflorescences were lost from the experiment in 2019 and 2020, due to accidental picking or disease. For each plant three lateral branches with ≥9 flower buds were selected and randomly assigned to one of three treatments; insect pollination (IP), insect exclusion (IE) and insect exclusion with pollen supplementation (IES), for 2020 and 2021 this was exactly 10 buds per treatment on each plant. Any open flowers were removed at the start of the study. An insect pollination with pollen supplementation (IPS) treatment was included in 2020 and 2021 to give a maximum potential fruit production value, as this wasn’t provided in 2019 by the IES treatment. For how the data was collected see Lineage. The data was collected for the purpose of determining the pollinator dependence of raspberry to determine how important pollinators are in this system. Imogen Ryan (PhD) was responsible for the collection and interpretation of the data. Fruits that were damaged by humans or on damaged branches were excluded from the dataset as well as those infected with fungal diseases. Scales were calibrated using a 100g weight (included with the scales) before each weighing session and at regular intervals throughout. \n\nThe scale used was the Ohaus Scout STX Balances P/N 30296522 B. The callipers were Digital Vernier Caliper, Preciva Electronic Caliper 150mm with Extraordinary LCD Screen.","locations":["POLYGON((-0.894 51.474, -0.894 51.506, -0.851 51.506, -0.851 51.474, -0.894 51.474))"],"metadataDate":"2026-07-25T14:25:01.000Z","orcid":["0000-0003-3247-9231","0000-0002-8304-4468"],"organisation":["University of East Anglia","Cambridge University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/de5b4f33-f679-4798-8daf-51a314e78204","10.5285/de5b4f33-f679-4798-8daf-51a314e78204","doi:10.5285/de5b4f33-f679-4798-8daf-51a314e78204"],"resourceType":"Dataset","rightsHolder":["University of East Anglia"],"ror":["https://ror.org/026k5mg93","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This data is the fruit set and marketable fruit set (percentage and success: failure) of commercial raspberry plants under four different pollination treatments. The data also includes fruit measurements (weight in grams and length and width in mms) of these fruit and…","state":"published","temporalExtentText":"Data collected from 2019 to 2021","title":"Fruit yield of the raspberry (Rubus idaeus) under different pollination treatments, Reading, England, 2019-2021","topic":["0/Agriculture/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Exeter","University of Sunshine Coast","Nanyang Technological University; University of Brighton","Nanyang Technological University","Biomathematics and Statistics Scotland","Permian Global Research Limited","Swedish University of Agricultural Sciences","National Agency for Research and Innovation (BRIN)","National University of Singapore","University of Dundee","Chiang Mai University","PT Restorasi Ekosistem Indonesia","Universiti Malaysia Sabah"," Borneo Orangutan Survival Foundation","University of Stirling","University of Oxford","Nature Conservation Foundation","ETH Zürich; Bioversity International","Forever Sabah","Universidad Rey Juan Carlos","South East Asia Rainforest Research Partnership","Yayasan Sabah Group","University of Göttingen","University of Cambridge","Centre for International Forestry Research; University of Cambridge","South East Asia Rainforest Research Partnership; University of Sheffield","University of Aberdeen"],"authorFamilyName":["Banin","Raine","Rowland","Chazdon","Smith","Rahman","Butler","Philipson","Applegate","Axelsson","Budiharta","Chua","Cutler","Elliott","Gemita","Godoong","Graham","Hayward","Hector","Ilstedt","Jensen","Kasinathan","Kettle","Lussetti","Manohan","Maycock","Ngo","O'Brien","Osuri","Reynolds","Sauwai","Scheu","Silalahi","Slade","Swinfield","Wardle","Wheeler","Yeong","Burslem"],"authorFullName":["Banin, L.F.","Raine, E.H.","Rowland, L.M.","Chazdon, R.L.","Smith, S.W.","Rahman, N.E.B.","Butler, A.","Philipson, C.","Applegate, G.G.","Axelsson, E.P.","Budiharta, S.","Chua, S.C.","Cutler, M.E.J.","Elliott, S.","Gemita, E.","Godoong, E.","Graham, L.L.B.","Hayward, R.M.","Hector, A.","Ilstedt, U.","Jensen, J.","Kasinathan, S.","Kettle, C.J.","Lussetti, D.","Manohan, B.","Maycock, C.","Ngo, K.M.","O'Brien, M.J.","Osuri, A.M.","Reynolds, G.","Sauwai, Y.","Scheu, S.","Silalahi, M.","Slade, E.M.","Swinfield, T.","Wardle, D.A.","Wheeler, C.","Yeong, K.L.","Burslem, D.F.R.P."],"authorGivenName":["L.F.","E.H.","L.M.","R.L.","S.W.","N.E.B.","A.","C.","G.G.","E.P.","S.","S.C.","M.E.J.","E.","L.L.B.","R.M.","U.","J.","C.J.","D.","B.","K.M.","M.J.","A.M.","G.","Y.","M.","E.M.","T.","D.A.","K.L.","D.F.R.P."],"authorOrcid":["0000-0002-1168-3914","0000-0002-0811-6118","0000-0002-0774-3216","0000-0002-7349-5687","0000-0001-9396-6610","0000-0002-6274-1205","0000-0001-8987-7260","0000-0002-0906-8365","0000-0002-5350-2966","0000-0002-3893-1068","0000-0002-5846-3353","0000-0003-0141-2480","0000-0002-2446-8199","0000-0002-9807-4360","0000-0002-9653-225X","0000-0002-1309-7716","0000-0002-5005-2568","0000-0002-9476-0136","0000-0002-4368-2545","0000-0001-8273-6158","0000-0003-0943-8423","0000-0001-9909-5633","0000-0003-4350-9520","0000-0002-6108-1196","0000-0001-9354-5090","0000-0003-4149-5997","0000-0001-8193-2130","0000-0001-6033-0990"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","R"],"description":"This dataset consists of structure, biomass (carbon density) and biodiversity (plant species richness) from forest inventory plots at forest restoration sites in South and Southeast Asia and the code for the analyses of these data as conducted in Banin, Raine et al (2023). The recorded data consists of plot level censuses carried out up to May 2021 collated from published studies, grey literature and data provided by co-authors. This represents the collation of data from 11 sites in areas where disturbance had led to the clearance or degradation of natural forest. Plots where tree seedlings were planted (active restoration) and plots where no seedling planting took place (natural regeneration) were censused for structure, biomass and/or biodiversity. Some of the sites in the dataset also recorded data at old growth forest plots for reference, and/or provided repeat measures of forest metrics over time. The dataset also includes the code used for analysis of this plot level data, used to compare the outcome of different restoration approaches.","documentType":"GEMINI_DOCUMENT","familyName":["Banin","Raine","Rowland","Chazdon","Smith","Rahman","Butler","Philipson","Applegate","Axelsson","Budiharta","Chua","Cutler","Elliott","Gemita","Godoong","Graham","Hayward","Hector","Ilstedt","Jensen","Kasinathan","Kettle","Lussetti","Manohan","Maycock","Ngo","O'Brien","Osuri","Reynolds","Sauwai","Scheu","Silalahi","Slade","Swinfield","Wardle","Wheeler","Yeong","Burslem"],"fullName":["Banin, L.F.","Raine, E.H.","Rowland, L.M.","Chazdon, R.L.","Smith, S.W.","Rahman, N.E.B.","Butler, A.","Philipson, C.","Applegate, G.G.","Axelsson, E.P.","Budiharta, S.","Chua, S.C.","Cutler, M.E.J.","Elliott, S.","Gemita, E.","Godoong, E.","Graham, L.L.B.","Hayward, R.M.","Hector, A.","Ilstedt, U.","Jensen, J.","Kasinathan, S.","Kettle, C.J.","Lussetti, D.","Manohan, B.","Maycock, C.","Ngo, K.M.","O'Brien, M.J.","Osuri, A.M.","Reynolds, G.","Sauwai, Y.","Scheu, S.","Silalahi, M.","Slade, E.M.","Swinfield, T.","Wardle, D.A.","Wheeler, C.","Yeong, K.L.","Burslem, D.F.R.P.","Banin, L."],"funder":["Natural Environment Research Council"],"givenName":["L.F.","E.H.","L.M.","R.L.","S.W.","N.E.B.","A.","C.","G.G.","E.P.","S.","S.C.","M.E.J.","E.","L.L.B.","R.M.","U.","J.","C.J.","D.","B.","K.M.","M.J.","A.M.","G.","Y.","M.","E.M.","T.","D.A.","K.L.","D.F.R.P.","Lindsay"],"grant":["NE/T005092/1"],"identifier":"3d3b1d09-9e7a-4144-b8a1-b09a3c573466","incomingCitationCount":1,"keyword":["Biodiversity","Sub-tropical","Forest inventory","Forest restoration","Tree planting","Active restoration","Carbon density","Basal area","Species richness","Disturbance recovery","biodiversity","biomass","forest","restoration","tropical ecosystem","natural regeneration","inventory of forest damage","tree"],"keywordsOther":["Sub-tropical","Forest inventory","Forest restoration","Tree planting","Active restoration","Carbon density","Basal area","Species richness","Disturbance recovery","biodiversity","biomass","forest","restoration","tropical ecosystem","natural regeneration","inventory of forest damage","tree"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Data were compiled from i) publications which contained the necessary information or ii) primary data supplied by dataset and paper co-authors. The search and screening process is described in full in the documentation. The data have been standardised so they could be presented in common units across the dataset and in some cases, categorised based either on numbers or on text descriptions within the publications. For comparisons, plot-level data were matched according to certain criteria (e.g. disturbance history, time, location). Calculations we made to draw comparisons (log response ratios, as described in full in the documentation).\nAll data were checked at least once by co-lead author and spot-checked by another co-lead author.\n","locations":["POLYGON((92.461 -10.846, 92.461 19.643, 153.809 19.643, 153.809 -10.846, 92.461 -10.846))"],"metadataDate":"2026-09-15T09:55:19.000Z","orcid":["0000-0002-1168-3914","0000-0002-0811-6118","0000-0002-0774-3216","0000-0002-7349-5687","0000-0001-9396-6610","0000-0002-6274-1205","0000-0001-8987-7260","0000-0002-0906-8365","0000-0002-5350-2966","0000-0002-3893-1068","0000-0002-5846-3353","0000-0003-0141-2480","0000-0002-2446-8199","0000-0002-9807-4360","0000-0002-9653-225X","0000-0002-1309-7716","0000-0002-5005-2568","0000-0002-9476-0136","0000-0002-4368-2545","0000-0001-8273-6158","0000-0003-0943-8423","0000-0001-9909-5633","0000-0003-4350-9520","0000-0002-6108-1196","0000-0001-9354-5090","0000-0003-4149-5997","0000-0001-8193-2130","0000-0001-6033-0990"],"organisation":["UK Centre for Ecology & Hydrology","University of Exeter","University of Sunshine Coast","Nanyang Technological University; University of Brighton","Nanyang Technological University","Biomathematics and Statistics Scotland","Permian Global Research Limited","Swedish University of Agricultural Sciences","National Agency for Research and Innovation (BRIN)","National University of Singapore","University of Dundee","Chiang Mai University","PT Restorasi Ekosistem Indonesia","Universiti Malaysia Sabah"," Borneo Orangutan Survival Foundation","University of Stirling","University of Oxford","Nature Conservation Foundation","ETH Zürich; Bioversity International","Forever Sabah","Universidad Rey Juan Carlos","South East Asia Rainforest Research Partnership","Yayasan Sabah Group","University of Göttingen","University of Cambridge","Centre for International Forestry Research; University of Cambridge","South East Asia Rainforest Research Partnership; University of Sheffield","University of Aberdeen","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3d3b1d09-9e7a-4144-b8a1-b09a3c573466","10.5285/3d3b1d09-9e7a-4144-b8a1-b09a3c573466","doi:10.5285/3d3b1d09-9e7a-4144-b8a1-b09a3c573466"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of structure, biomass (carbon density) and biodiversity (plant species richness) from forest inventory plots at forest restoration sites in South and Southeast Asia and the code for the analyses of these data as conducted in Banin, Raine et al…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":" Plot-level forest structure, carbon density and tree species richness data from restoration sites in South and Southeast Asia","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Rothamsted Research","Bangor University"],"authorFamilyName":["Goodall","Griffiths","Blaud","Abadie","Clark","Hirsch","Carswell","Misselbrook","Sánchez-Rodríguez","Chadwick","Jones","Reinsch"],"authorFullName":["Goodall, T.I.","Griffiths, R.I.","Blaud, A.","Abadie, M.","Clark, I.M.","Hirsch, P.R.","Carswell, A.M.","Misselbrook, T.H.","Sánchez-Rodríguez, A.R.","Chadwick, D.R.","Jones, D.L.","Reinsch, S."],"authorGivenName":["T.I.","R.I.","A","M.","I.M.","P.R.","A.M.","T.H.","A.R.","D.R.","D.L.","S."],"authorOrcid":["0000-0003-0860-8080","0000-0002-1589-5420","0000-0003-0580-6698","0000-0002-4594-3606","0000-0001-8734-2035","0000-0002-1482-4209","0000-0003-4649-0677"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consist of nitrogen gene data, soil biodiversity indices and microbial community composition for three soil depths (0-15, 15-30 and 30-60 cm) from a winter wheat field experiment located in the United Kingdom and collected between April 2017 and August 2017. The sites were Rothamsted Research at North Wyke in Devon  and Bangor University at Henfaes Research Station in North Wales.\n\nAt each site measurements were taken from 15 plots, organised within a randomised complete block design where 5 plots did not receive fertilizers (controls), 5 plots received food-based digestate, and 5 plots received acidified food based digestate a nitrification inhibitor. Soil samples were taken within two weeks of digestate application and shortly before winter wheat harvest.\n\nSoil chemical parameters were: soil nitrate, ammonium, dissolved organic carbon and nitrogen, amino acids and peptides, soil organic matter content as loss-on-ignition, pH, sodium, potassium, calcium, magnesium, permanganate oxdisable carbon citric acid extractable phosphorous, Olsen-P and total carbon, nitrogen and phosphorus. Soil biological measure were: microbial biomass carbon and nitrogen. \n\nSoil samples were taken by members of staff from Centre of Ecology & Hydrology (Bangor), Bangor University, School of Environment, Natural Resources & Geography Sustainable Agricultural Sciences, and Rothamsted Research North Wyke. Measurements were carried out Rothamsted Research Harpenden and the Centre of Ecology & Hydrology (Wallingford). Soil physico-chemical parameters were measured on the same soil samples and are presented in a related dataset. https://catalogue.ceh.ac.uk/id/90df9dfa-a0c8-4ead-a13d-0a0a13cda7ab\n\nData was collected for the Newton Fund project “UK-China Virtual Joint Centre for Improved Nitrogen Agronomy”. Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC -  Ref BB/N013468/1","documentType":"GEMINI_DOCUMENT","familyName":["Goodall","Griffiths","Blaud","Abadie","Clark","Hirsch","Carswell","Misselbrook","Sánchez-Rodríguez","Chadwick","Jones","Reinsch"],"fullName":["Goodall, T.I.","Griffiths, R.I.","Blaud, A.","Abadie, M.","Clark, I.M.","Hirsch, P.R.","Carswell, A.M.","Misselbrook, T.H.","Sánchez-Rodríguez, A.R.","Chadwick, D.R.","Jones, D.L.","Reinsch, S."],"funder":["Biotechnology and Biological Sciences Research Council"],"givenName":["T.I.","R.I.","A","M.","I.M.","P.R.","A.M.","T.H.","A.R.","D.R.","D.L.","S."],"grant":["BB/N013468/1"],"identifier":"391c0294-07f1-4856-b592-428bd44055ca","incomingCitationCount":0,"keyword":["winter wheat","nitrogen","fertiliser","digestate","operational taxonomic unit","diversity index","bacterial community composition"],"keywordsOther":["winter wheat","nitrogen","fertiliser","digestate","operational taxonomic unit","diversity index","bacterial community composition"],"licence":"Open government licence","lineage":"Soil samples were taken by members of staff from the different sites. Samples were sent to Rothamsted Research Harpenden for DNA extractions and extracts were analysed for nitrogen genes (nifH, amoA, nirK, nirS, nosZ, ureC). Extracts were also sent to CEH Wallingford for analyses of operational taxonomic units (OTUs').\n\nSoil community DNA was extracted from 0.25 grams soil using the MoBio DNA PowerSoil DNA isolation kit (Mo Bio Laboratories, Inc. Carlsbad, CA), following manufacturer’s protocol. Extracted DNA was quantified by fluorometer Qubit® 2.0 dsDNA BR Assay Kit (Thermo Fisher Scientific) and quality checked by nanodrop (Thermo Fisher Scientific).\n\nQuantitative-Polymerase chain reaction (qPCR) protocols were followed as detailed in De Sosa et al. 2018.\n\nExtracted DNA was supplied from Rothamsted Research in Harpenden for amplicon sequencing at the facilities of the Molecular Ecology Group, Centre for Ecology & Hydrology, Wallingford. <50 μL volumes of DNA extract were supplied in 96-well plate format, these were subject to 16S Ribosomal ribonucleic acid (rRNA) amplicon sequencing as described in Kozich 2013 and Internal transcribed spacer (ITS) rRNA amplicon sequencing employing the Kozich 2013 strategy and Ihrmark 2012.\n\nAll results were entered into a Microsoft Excel spreadsheet and converted to .csv files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-4.022 50.767, -4.022 53.241, -3.892 53.241, -3.892 50.767, -4.022 50.767))"],"metadataDate":"2026-07-24T20:38:51.000Z","orcid":["0000-0003-0860-8080","0000-0002-1589-5420","0000-0003-0580-6698","0000-0002-4594-3606","0000-0001-8734-2035","0000-0002-1482-4209","0000-0003-4649-0677"],"organisation":["Centre for Ecology & Hydrology","Rothamsted Research","Bangor University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-04-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/391c0294-07f1-4856-b592-428bd44055ca","10.5285/391c0294-07f1-4856-b592-428bd44055ca","doi:10.5285/391c0294-07f1-4856-b592-428bd44055ca"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The data consist of nitrogen gene data, soil biodiversity indices and microbial community composition for three soil depths (0-15, 15-30 and 30-60 cm) from a winter wheat field experiment located in the United Kingdom and collected between April 2017 and August 2017.…","state":"published","supplementalDescription":["Kozich, J.J., Westcott, S.L., Baxter, N.T., Highlander, S. K., & Schloss, P.D. (2013). Development of a Dual-Index Sequencing Strategy and Curation Pipeline for Analyzing Amplicon Sequence Data on the MiSeq Illumina Sequencing Platform. Applied and Environmental Microbiology, 79(17), 5112–5120.","de Sosa, L.L., Glanville, H.C., Marshall, M.R., Schnepf, A., Cooper, D.M., Hill, P.W., … Jones, D.L. (2018). Stoichiometric constraints on the microbial processing of carbon with soil depth along a riparian hillslope. Biology and Fertility of Soils, 54(8), 949–963."],"supplementalName":["The UK-China Virtual Joint Centre for Improved Nitrogen Agronomy (CINAG)"],"temporalExtentText":"Data collected from 2017 to 2017","title":"Soil biological properties from a digestate experiment on winter wheat at North Wyke and Henfaes Farm, UK (2017)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SpatiaLite"],"description":"This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2023 products are available from the LCM2023 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"50b344eb-8343-423b-8b2f-0e9800e34bbd","incomingCitationCount":1,"keyword":["Great Britain","Land cover","Biodiversity Action Plan","map","land cover","habitat"],"keywordsOther":["Biodiversity Action Plan","map","land cover","habitat"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\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":"2026-09-02T10:06:11.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","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/50b344eb-8343-423b-8b2f-0e9800e34bbd","10.5285/50b344eb-8343-423b-8b2f-0e9800e34bbd","doi:10.5285/50b344eb-8343-423b-8b2f-0e9800e34bbd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Land Cover Map 2023 (land parcels, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Game and Wildlife Conservation Trust"],"authorFamilyName":["Holland"],"authorFullName":["Holland, J."],"authorGivenName":["John"],"authorRor":["https://ror.org/015eybs17"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This set of conservation biological control experiments data was collected as part of five field experiments investigating agricultural biological control techniques, particularly the effect of wild field margins on pests and predators. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Despite the widespread concerns regarding the use of pesticides in food production and the availability of potentially viable biological pest control strategies in Integrated Pest Management (IPM) systems, the UK cereal crop production remains a bastion of pesticide use. This project aimed to understand further the reasons for this lack of adoption, using the control of summer cereal aphids as a case study. Reasons for this lack of adoption of biocontrol remain a complex interplay of both technical and economic problems. Economists highlight the potential path dependency of an industry to continue to employ a suboptimal technology, caused by past dynamics of adoption resulting in differential private cost structures of each technique. Further, risk aversion on the part of farmers regarding the perceived efficacy of a new technology may also limit up-take. This may be particularly important when IPM rests on portfolios of technologies and when little scientific understanding exists on the effect of portfolio and scale of adoption on overall efficacy. Faced with this, farmers will not adopt a socially superior IPM technology and there exists a clear need for public policy action. This action may take the form of minimising uncertainty through carefully designed research programs, government funding and dissemination of the results of large-scale research studies or direct public support for farm landscape and farm system changes that can promote biocontrol. This research looked at alternatives to the use of insecticides in arable agriculture and the difficulties facing producers in switching over to them. Two approaches were explored: habitat manipulations, to encourage predators and parasites, and using naturally occurring odours to manipulate predator distribution as model technologies. Scale and portfolio effects on biocontrol efficacy have been investigated in controlled and field scale experiments. Aim is to improve the way research and development of new products and techniques are carried out to help break the dependence on chemical pesticides. 'Semiochemical experiment data, 2005-2009 - RELU Re-bugging the system: promoting adoption of alternative pest management strategies in field crop systems' from this same research project are also available. In addition, socio-economic research has been used to help direct natural science research into the development and evaluation of a combination of habitat management and semiochemical push-pull strategies of appropriate scale and complementarity to yield viable, commercially attractive and sustainable alternatives to the use of insecticides in cereal crop agriculture. These socio-economic data are available through the UK Data Archive under study number 6960 (see online resources). Further information and 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":["Bailey","Holland"],"fullName":["Bailey, A.","Holland, J."],"givenName":["Alastair","John"],"identifier":"5e7b868b-890f-4246-b818-026ff19e60e2","incomingCitationCount":0,"keyword":["United Kingdom","age","agricultural land","agronomy","cereals","cropping systems","crops","environmental conservation","environmental degradation","environmental issues","environmental management","farmers","farms","gender","grain crops","insecticides","land tenure","organic farming","pest control","pesticides","pests","weeds","Re-Bugging the System: Promoting Adoption of Alternative Pest Management Strategies in Field Crop Systems","Rural Economy and Land Use Programme"],"keywordsOther":["age","agricultural land","agronomy","cereals","cropping systems","crops","environmental conservation","environmental degradation","environmental issues","environmental management","farmers","farms","gender","grain crops","insecticides","land tenure","organic farming","pest control","pesticides","pests","weeds","Re-Bugging the System: Promoting Adoption of Alternative Pest Management Strategies in Field Crop Systems","Rural Economy and Land Use Programme"],"keywordsPlace":["United Kingdom"],"licence":"Non-Open government licence","lineage":"This data was collected as part of five field experiments, respectively aiming to: - determine whether floristically enhanced field margins improve levels of cereal aphid control by natural enemies and whether this varies with distance from the margin. - investigate the colonisation of cereal fields by pest natural enemies for fields withand without floristically enhanced wide field margins. - determine whether levels of biocontrol are influenced by landscape complexity and in particular the proportion of enhanced field margins. - determine whether abundance and distribution of flying natural enemies are influenced by landscape complexity and in particular the proportion of enhanced field margins. - investigate the spatial distribution of flying predators and their aphid prey in fields with flower rich margins. Full details of the five experiments and the data collection methodologies used can be found in the user guide, which is included in the data download package. Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-224-25-0093","locations":["POLYGON((-8.655 49.9, -8.655 60.85, 1.79 60.85, 1.79 49.9, -8.655 49.9))"],"metadataDate":"2026-09-15T08:38:07.000Z","organisation":["School of Economics, Keynes College, University of Kent","Game and Wildlife Conservation Trust","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1331031275297","CEH:EIDC::1331031275297","https://catalogue.ceh.ac.uk/id/5e7b868b-890f-4246-b818-026ff19e60e2"],"resourceType":"Dataset","ror":["https://ror.org/015eybs17","https://ror.org/04xw4m193"],"shortenedDescription":"This set of conservation biological control experiments data was collected as part of five field experiments investigating agricultural biological control techniques, particularly the effect of wild field margins on pests and predators. The study is part of the NERC…","state":"published","supplementalName":["Socio-economic data from this same research project","RELU Knowledge Portal project page"],"temporalExtentText":"Data collected from 2005 to 2009","title":"Conservation biological control experiments data, 2005-2009 - RELU Re-bugging the system: promoting adoption of alternative pest management strategies in field crop","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Atkins Ltd"],"authorFamilyName":["Daldorph"],"authorFullName":["Daldorph, P."],"authorGivenName":["P."],"authorRor":["https://ror.org/00qcr4910"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Estimates of in-river concentrations (mg/l) and loads (kg/day) of nutrients to rivers in England and Wales from multiple sector sources, modelled with SAGIS (Source Apportionment GIS). The nutrients include nitrate (mg/l N) and ortho-phosphate (mg/l P); the estimate loads are expressed as kilograms per day (kg/day) and the in-river concentrations as milligrams per litre (mg/l). Sources are both diffuse and point. Diffuse sources include livestock farming, arable farming, highways, urban runoff, background (from soils), onsite wastewater treatment systems and atmospheric deposition. Point sources include treated wastewater effluent, combined sewer overflows and storm tanks, industrial discharges and mine water discharges. Concentrations and loads are modelled using the Environment Agency's catchment river model, SIMCAT, at the locations of model features or every 1 km along each river, taking into account all upstream sources and user defined river losses. \n\nSAGIS is a modelling framework was developed through the UK Water Industry Research Programme (UKWIR) project 'Chemical Source Apportionment under the WFD' [1], with support from the Environment Agency and SEPA. The model is also described in [2]\n\n[1] UKWIR (2012) Chemical Source Apportionment under the WFD (12/WW/02/3). Final report for UK Water Industry Research, 1 Queen Annes Gate, London, ISBN: 1 84057 637 5.\n[2] Comber, S.D.; Smith, R.; Daldorph, P.; Gardner, M.J.; Constantino, C.; Ellor, B. (2013) Development of a Chemical Source Apportionment Decision Support Framework for Catchment Management. Environ. Sci. Technol. 47, 9824-9832","documentType":"GEMINI_DOCUMENT","familyName":["Daldorph"],"fullName":["UKWIR","Daldorph, P."],"givenName":["P.","Peter"],"identifier":"8c5d9e38-0244-4a39-8600-a85513a6fecf","incomingCitationCount":1,"keyword":["Pollution","nutrient","river","SAGIS","SIMCAT","arable farming","livestock farming","highway","waste water","pollutant deposition","industrial effluent","runoff","agricultural effluent"],"keywordsOther":["nutrient","river","SAGIS","SIMCAT","arable farming","livestock farming","highway","waste water","pollutant deposition","industrial effluent","runoff","agricultural effluent"],"keywordsTheme":["Pollution"],"licence":"Non-Open government licence","lineage":"This dataset has been modelled with The Source Apportionment-GIS (SAGIS) using data from the period spanning from 2006 to 2009. Input datasets include: river network outline, water body boundary, hydrology and river monitoring data, rainfall, land use and agricultural data, on-site wastewater treatment system, sewage treatment works, combined sewer overflows and storm tank locations, soil erosion, highway runoff and pollution inventory industrial discharges to river and sewer including extensive sewage treatment works data. \n\nLoads are converted to concentrations in river waters using the SIMulation of CATchments (SIMCAT) water quality model, which is incorporated within SAGIS, so that the contribution to in-stream concentrations from individual sources can be quantified. Diffuse sources of nutrient pollution are incorporated into SAGIS from the Phosphorus and Sediment Yield Characterisation In Catchments (PSYCHIC) model (developed by a consortium of academic and government organisations led by ADAS Water Quality). \n\nSAGIS models are not time based and do not show seasonal variation; river flow can vary according to seasonal changes which would have an impact on results. The model will also always be a simplified version of reality and so must be used as an advisory tool and not as the sole basis of decisions. Data is often subject to change and so the models require regular updates. Livestock and arable inputs have been calculated from the ADAS models PSYCHIC and NEAPN and have been shown to overestimate inputs in some areas. There is also a related issue, of changing crop types and land use.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T08:41:45.000Z","organisation":["UK Water Industry Research","Atkins Ltd","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8c5d9e38-0244-4a39-8600-a85513a6fecf","10.5285/8c5d9e38-0244-4a39-8600-a85513a6fecf","doi:10.5285/8c5d9e38-0244-4a39-8600-a85513a6fecf"],"resourceType":"Dataset","rightsHolder":["UK Water Industry Research"],"ror":["https://ror.org/00ajykz30","https://ror.org/00qcr4910","https://ror.org/04xw4m193"],"shortenedDescription":"Estimates of in-river concentrations (mg/l) and loads (kg/day) of nutrients to rivers in England and Wales from multiple sector sources, modelled with SAGIS (Source Apportionment GIS). The nutrients include nitrate (mg/l N) and ortho-phosphate (mg/l P); the estimate…","state":"published","temporalExtentText":"Data collected from 2006 to 2009","title":"Source apportionment of nutrient contributions to rivers in England and Wales modelled with SAGIS","topic":["0/Pollution/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Brown","Bunce","Carey","Chandler","Crowe","Maskell","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Crowe, A.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["M.J.","R.G.H.","P.D.","K.","A.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["0000-0002-5651-2828","0000-0003-4006-7755","0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of stock (area) data for Broad Habitats across Great Britain in 2007 in a 1km grid format. The data are national estimates generated by analysing the sample data from 591 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as percent habitat per 1km square for 17 different habitat types. 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 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 habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Brown","Bunce","Carey","Chandler","Crowe","Maskell","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Crowe, A.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["M.J.","R.G.H.","P.D.","K.","A.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M.","Claire"],"identifier":"bb785c19-3cf6-4483-9fe5-13829d489a83","incomingCitationCount":0,"keyword":["Great Britain","habitats","vegetation","Monitoring & Observing Systems","Environmental survey"],"keywordsOther":["habitats","vegetation","Monitoring & Observing Systems","Environmental survey"],"keywordsPlace":["Great Britain"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summer of 2007 by surveyors. Data were recorded from 591 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP). The data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as percentage values per 1km square.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T12:59:10.000Z","orcid":["0000-0002-5651-2828","0000-0003-4006-7755","0000-0003-2750-7832"],"organisation":["Natural Environment Research Council","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-01-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1350386432879","CEH:EIDC::1350386432879","https://catalogue.ceh.ac.uk/id/bb785c19-3cf6-4483-9fe5-13829d489a83","10.5285/bb785c19-3cf6-4483-9fe5-13829d489a83","doi:10.5285/bb785c19-3cf6-4483-9fe5-13829d489a83"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/02b5d8509","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (area) data for Broad Habitats across Great Britain in 2007 in a 1km grid format. The data are national estimates generated by analysing the sample data from 591 1km squares surveyed for the Countryside Survey long term monitoring project,…","state":"published","supplementalName":["Countryside Survey website"],"temporalExtentText":"Data collected from 2007 to 2007","title":"Countryside Survey 2007 mapped estimates of Broad Habitat areas in Great Britain","version":1.0,"view":["public","rjsc"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}