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seagrass growth as the primary response variable; elemental and isotopic compositions of seagrass above- and below-ground biomass; seagrass morphological parameters; site-characterisation environmental parameters and temperature recorded over the experimental windows. \n\nThis dataset contains in-situ experimental information relating two separate nutrient enrichment experiments that were conducted in January/February 2022 and January 2023 over 2-week periods. The experiments were designed to understand the growth response of seagrass to elevated nutrient concentrations relative to controls plots. We used agricultural fertilisers to elevate local concentrations.  In 2022, we used a slow-release fertiliser and compared growth response rates at two contrasting site types with 3 treatment levels (Control, Low N and High N). In 2023, we used an all-purpose granular fertiliser, the same 3 treatment levels but varied how the fertiliser was delivered to the seagrass, i.e., water-column diffusion vs below-ground diffusion. Both experiments were conducted on the same island of Gan, in Laamu atoll, Maldives. \n\nThe work has been undertaken has been funded by the GCRF-UKRI South Asian Nitrogen Hub and enabled through the University of Edinburgh and Maldivian non-governmental organisation, Maldives Resilient Reefs.","documentType":"GEMINI_DOCUMENT","familyName":["Arnull","Tudhope","Wilson","Ganeshram","Hashim","Ziyadh"],"fullName":["Jessica Arnull","Arnull, J.","Tudhope, A.W.","Wilson, A.M.W.","Ganeshram, R.S.","Hashim, A.S.","Ziyadh, A.M."],"funder":["Natural Environment Research Council"],"givenName":["J","A.W.","A.M.W.","R.S.","A.S.","A.M."],"grant":["NE/S009019/1"],"identifier":"8760a6d4-b9df-406d-b910-678ab0f6557f","incomingCitationCount":0,"keyword":["Ecosystem services","Pollution","Water quality","Biodiversity","Indian Ocean","experimental study","enrichment","isotope","nitrogen","seagrass","coastal pollution"],"keywordsOther":["Indian Ocean","experimental study","enrichment","isotope","nitrogen","seagrass","coastal pollution"],"keywordsTheme":["Ecosystem services","Pollution","Water quality","Biodiversity"],"licence":"Non-Open government licence","lineage":"Seagrass biomass was collected from each plot and then analysed for elemental and isotopic compositions (percent carbon, percent nitrogen δ13C and δ15N). \n\nSeagrass morphological parameters were recorded at the start and end of the experiment, including information on percent cover of seagrass and algae, canopy height and leaf density. Seagrass sheath density was calculated by randomly throwing 20 x 0.25m2 quadrats around the perimeter of the experimental sites and the number of sheaths counted. \n\nEnvironmental data about the experimental sites was collected at the start of the experiments to characterise the environment. This included water quality sampling, sediment organic nitrogen and carbon content, water depth, sediment depth and grain size analysis. Temperature was logged throughout the experiments using HOBO loggers. \n\nManual checks were performed on the data points to look for any error in data entry or values reported outside the expected range. Any outliers were then investigated and corrected where appropriate.","locations":["POLYGON((73.523 1.856, 73.523 1.961, 73.56 1.961, 73.56 1.856, 73.523 1.856))"],"metadataDate":"2026-05-11T18:28:07.000Z","orcid":["https://orcid.org/0009-0007-0389-9292","https://orcid.org/0000-0003-1819-3325","https://orcid.org/0000-0002-5150-1310","https://orcid.org/0000-0003-4735-6752"],"organisation":["University of Edinburgh","Maldives Resilient Reefs","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8760a6d4-b9df-406d-b910-678ab0f6557f","10.5285/8760a6d4-b9df-406d-b910-678ab0f6557f","doi:10.5285/8760a6d4-b9df-406d-b910-678ab0f6557f"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"The data consist of leaf extension rates of seagrass growth as the primary response variable; elemental and isotopic compositions of seagrass above- and below-ground biomass; seagrass morphological parameters; site-characterisation environmental parameters and temperature...","state":"published","title":"Leaf growth, nutrient, and stable isotope responses of seagrass exposed to nutrient enrichment, Laamu Atoll, Maldives, 2022-2023","topic":["0/Ecosystem services/","0/Pollution/","0/Water quality/","0/Biodiversity/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Kathmandu University","Scotland's Rural College","Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU)","Indian Agricultural Statistics Research Institute","KIIT University","University of Agriculture Faisalabad","University of Peradeniya","The Maldives National University","Maldives National University","Ricardo (Harwell)","University of Edinburgh","Royal University of Bhutan"],"authorFamilyName":["Joshi","Nepal","Shrestha","Pokharel","Subodh","Begho","Glenk","Anik","Sharna","Jha","Jena","Subudhi","Giri","Samal","Abbas","Pinnawala","Nissanka","Jayaweera","Wijerathna","Prabavi","Hassan","Rasheed","Shadiya","Fairooza","Avis","Jeffery","Tshering","Dorji","Dendup","Eory"],"authorFullName":["Joshi, R.","Nepal, B.","Shrestha, R.","Pokharel, A.","Subodh, S.","Begho, T.","Glenk, K.","Anik, A.R.","Sharna, S.C.","Jha, G.K.","Jena, D.","Subudhi, R.N.","Giri, V.V.","Samal, S.","Abbas, A.","Pinnawala, M.","Nissanka, S.","Jayaweera, A.","Wijerathna, M.","Prabavi, U.","Hassan, R.","Rasheed, Z.A.","Shadiya, F.","Fairooza, F.","Avis, K.","Jeffery, R.","Tshering, D.","Dorji, T.","Dendup, S.","Eory, V."],"authorGivenName":["R.","B.","A.","S.","T.","K.","A.R.","S.C.","G.K.","D.","R.N.","V.V.","M.","U.","Z.A.","F.","V."],"authorRor":["https://ror.org/036xnae80","https://ror.org/044e2ja82","https://ror.org/03kkevc75","https://ror.org/00k8zt527","https://ror.org/054d77k59","https://ror.org/025h79t26","https://ror.org/00dbrh564","https://ror.org/01nrxwf90","https://ror.org/03hqan520"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset holds survey data of individual farming households in the Terai region in Nepal relating to their nitrogen use.  The survey was conducted in 2022 and the questions covered two seasons (summer and winter) asked at a single visit in the summer season. The questions on the winter season were based on recall.\nThe data cover the following topics: household characteristics, general farm characteristics, plot characteristics, crop production and harvest, synthetic and organic fertilizer use and compost production, labour, irrigation, pesticides, livestock, information sources, drivers of and barriers to adoption of sustainable practices, attitude, behaviour, perception and opinion, household expenditure and income, household asset and wealth, subsidies.\nThe data were collected primarily to assess differences in nitrogen use efficiency (NUE) and sustainable nitrogen practices between households. The data also aim to enhance understanding of farmers’ attitudes, opinion and decision making affecting NUE in crop production and farm related factors which enable adoption of sustainable practices. \nThe data are part of a wider SANH (South Asian Nitrogen Hub) harmonised household survey covering Bangladesh, India, Maldives, Pakistan and Sri Lanka.\n","documentType":"GEMINI_DOCUMENT","familyName":["Joshi","Nepal","Shrestha","Pokharel","Subodh","Begho","Glenk","Anik","Sharna","Jha","Jena","Subudhi","Giri","Samal","Abbas","Pinnawala","Nissanka","Jayaweera","Wijerathna","Prabavi","Hassan","Rasheed","Shadiya","Fairooza","Avis","Jeffery","Tshering","Dorji","Dendup","Eory"],"fullName":["Joshi, R.","Nepal, B.","Shrestha, R.","Pokharel, A.","Subodh, S.","Begho, T.","Glenk, K.","Anik, A.R.","Sharna, S.C.","Jha, G.K.","Jena, D.","Subudhi, R.N.","Giri, V.V.","Samal, S.","Abbas, A.","Pinnawala, M.","Nissanka, S.","Jayaweera, A.","Wijerathna, M.","Prabavi, U.","Hassan, R.","Rasheed, Z.A.","Shadiya, F.","Fairooza, F.","Avis, K.","Jeffery, R.","Tshering, D.","Dorji, T.","Dendup, S.","Eory, V."],"funder":["Natural Environment Research Council"],"givenName":["R.","B.","A.","S.","T.","K.","A.R.","S.C.","G.K.","D.","R.N.","V.V.","M.","U.","Z.A.","F.","V.","Toritseju"],"grant":["NE/S009019/2"],"identifier":"3b7a3e0b-48e5-4395-b4c6-79bb43ae31e3","incomingCitationCount":0,"keyword":["Nepal","South Asia","Agriculture","agricultural economics","agricultural production","compost","crop production","decision making","economics","fertiliser","gender","livestock","manure","nitrogen","nitrogen use efficiency","subsidies","water"],"keywordsOther":["agricultural economics","agricultural production","compost","crop production","decision making","economics","fertiliser","gender","livestock","manure","nitrogen","nitrogen use efficiency","subsidies","water"],"keywordsPlace":["Nepal","South Asia"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"The Terai region was purposively selected for the study as agriculture is dominant in the Terai region. Thereafter, multipurpose random sampling was used to select three districts i.e., Morang, Mahottari and Kailali districts. From each district, two municipalities were selected and from each municipality, two villages were chosen for the study. Twenty-five farming households were randomly chosen within each village. In total, 100 farmers were included from each district, resulting in a total of 300 farmers.\nThe survey was administered in person in farmers’ homes, field or pre-agreed location in the community where the farmer lives. Enumerators entered farmers’ responses to each question in a pre-prepared template which was then transferred to the CSV data file.\nThe data were prepared for the requirements of the study and made ready for analysis by removing duplicate records, spelling errors, differences in capitalisation and spacing, inconsistent formats, mixed numerical scales and mixed ranges.\n","locations":["POLYGON((80.134 28.012, 80.134 29.138, 86.946 29.138, 86.946 28.012, 80.134 28.012))"],"metadataDate":"2026-05-11T18:03:01.000Z","organisation":["Kathmandu University","Scotland's Rural College","Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU)","Indian Agricultural Statistics Research Institute","KIIT University","University of Agriculture Faisalabad","University of Peradeniya","The Maldives National University","Maldives National University","Ricardo (Harwell)","University of Edinburgh","Royal University of Bhutan","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3b7a3e0b-48e5-4395-b4c6-79bb43ae31e3","10.5285/3b7a3e0b-48e5-4395-b4c6-79bb43ae31e3","doi:10.5285/3b7a3e0b-48e5-4395-b4c6-79bb43ae31e3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Scotland's Rural College","Kathmandu University"],"ror":["https://ror.org/036xnae80","https://ror.org/044e2ja82","https://ror.org/03kkevc75","https://ror.org/00k8zt527","https://ror.org/054d77k59","https://ror.org/025h79t26","https://ror.org/00dbrh564","https://ror.org/01nrxwf90","https://ror.org/03hqan520","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset holds survey data of individual farming households in the Terai region in Nepal relating to their nitrogen use.  The survey was conducted in 2022 and the questions covered two seasons (summer and winter) asked at a single visit in the summer season. The...","state":"published","title":"Farming household survey for the evaluation of nitrogen options for economic and social benefit in the Terai region of Nepal, 2022","topic":["0/Agriculture/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Unaffiliated"],"authorFullName":["National Plant Monitoring Scheme"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource provides plot-level plant occurrence data for the first six years (2015-2020) of the National Plant Monitoring Scheme (NPMS, covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2020.\n\nThe NPMS is organised and funded by the UK Centre for Ecology & Hydrology, Botanical Society of Britain and Ireland, Plantlife and the Joint Nature Conservation Committee. This work partly supported through Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\nPlease be aware that this dataset is updated annually and that more recent versions exist.","documentType":"GEMINI_DOCUMENT","fullName":["National Plant Monitoring Scheme"],"funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"f478ea82-a0e9-4778-955b-34c7ebfdd421","incomingCitationCount":1,"keyword":["National Plant Monitoring Scheme (NPMS)","UK-SCAPE","Environmental survey","vegetation","habitat","plant community","environmental monitoring"],"keywordsOther":["vegetation","habitat","plant community","environmental monitoring"],"keywordsProject":["National Plant Monitoring Scheme (NPMS)","UK-SCAPE"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data were collected directly from volunteers into a custom Indicia database system (www.indicia.org.uk) through the NPMS website (www.npms.org.uk) or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:25:54.000Z","organisation":["Unaffiliated","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology","Natural Environment Research Council"],"publicationDate":"2021-08-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f478ea82-a0e9-4778-955b-34c7ebfdd421","10.5285/f478ea82-a0e9-4778-955b-34c7ebfdd421","doi:10.5285/f478ea82-a0e9-4778-955b-34c7ebfdd421"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This data resource provides plot-level plant occurrence data for the first six years (2015-2020) of the National Plant Monitoring Scheme (NPMS, covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat...","state":"published","title":"National Plant Monitoring Scheme survey data (2015-2020)","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jualob"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Crossley","Harvey","Ferguson","Leaver","Fowler","Cape"],"authorFullName":["Crossley, A.","Harvey, F.J.","Ferguson, S.","Leaver, D.","Fowler, D.","Cape, J.N."],"authorGivenName":["A.","F.J.","S.","D.","J.N."],"authorOrcid":["https://orcid.org/0009-0004-4311-1672","https://orcid.org/0000-0002-2999-2627","https://orcid.org/0000-0002-5538-588X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides weekly pollutant concentration and deposition data in cloud and rain samples from the, now retired, Bowbeat field site near Edinburgh, UK. The data were captured approximately weekly between 03/09/2003 and 28/06/2006 using a cloud droplet collector and rainwater collector. They were collected to monitor and model cloud/rain water composition and deposition at high elevation as part of ongoing routine measurements.","documentType":"GEMINI_DOCUMENT","familyName":["Crossley","Harvey","Ferguson","Leaver","Fowler","Cape"],"fullName":["Crossley, A.","Harvey, F.J.","Ferguson, S.","Leaver, D.","Fowler, D.","Cape, J.N."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["A.","F.J.","S.","D.","J.N."],"identifier":"2dca8f2f-a21b-4f77-bc8c-326269ab58d1","incomingCitationCount":0,"keyword":["Pollution","Pollutant Concentration","Cloud chemistry","Rain chemistry","Seeder-feeder effect","pollutant deposition","rain","nitrate","ammonium","chloride","sulphate"],"keywordsOther":["Pollutant Concentration","Cloud chemistry","Rain chemistry","Seeder-feeder effect","pollutant deposition","rain","nitrate","ammonium","chloride","sulphate"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"A cloud droplet collector and rainwater collector were used to collect samples which were weighed (g) and measured (ml), before taking a sub-sample of 150 ml for ion analysis. The depth of each sample was calculated as the sample volume divided by the cross-sectional area of the funnel used to collect the samples. Samples were analysed by ion chromatography to obtain the combined cloud and rain concentrations and the rain-only concentrations of eight pollutants, which were then used to calculate the deposition of each pollutant. These depositions were then used to calculate the cloud-only depositions and concentrations of each pollutant. Non-marine sulphate concentrations and depositions were derived from sulphate depositions. All formulae used in the above calculations are detailed extensively in the associated supporting document.\n\nThis dataset was then reviewed and quality checked by S. Ferguson around 20 years after the original data collection to adapt it into a state suitable for reuse. All excel formulae in the original spreadsheet were checked and the units of the variables were derived from the formulae. The data were then cleaned using an R Studio script, separated into three simplified dataframes, and converted to csv. An ion balance was then conducted as a quality control measure with guidance from J Neil Cape. Any occurrences of large ion imbalances, suspected reporting errors or sample bottle overflows were removed from the dataset and all unusual data thought to have been caused by biological contamination or contamination from wind-blown dust have been flagged. Accounting for missing data from lack of sample collection, partially missing data, and removed data, the percentage completeness of each of the datasets is over 70%.","locations":["POLYGON((-3.151 55.707, -3.151 55.72, -3.111 55.72, -3.111 55.707, -3.151 55.707))"],"metadataDate":"2026-05-11T18:14:56.000Z","orcid":["https://orcid.org/0009-0004-4311-1672","https://orcid.org/0000-0002-2999-2627","https://orcid.org/0000-0002-5538-588X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2dca8f2f-a21b-4f77-bc8c-326269ab58d1","10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1","doi:10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides weekly pollutant concentration and deposition data in cloud and rain samples from the, now retired, Bowbeat field site near Edinburgh, UK. The data were captured approximately weekly between 03/09/2003 and 28/06/2006 using a cloud droplet collector...","state":"published","title":"Cloud and rain pollutant concentration and deposition data at Bowbeat, Peebles, 2003-2006","topic":["0/Pollution/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Glasgow & IHI","IHI","University of Liverpool","University of Glasgow"],"authorFamilyName":["Kreppel","Govella","Caminade","Baylis","Ferguson"],"authorFullName":["Kreppel, K.","Govella, N.J.","Caminade, C.","Baylis, M.","Ferguson, H."],"authorGivenName":["K.","N.J.","C.","Matthew","H."],"authorOrcid":["https://orcid.org/0000-0001-7743-6919","https://orcid.org/0000-0002-3846-7082","https://orcid.org/0000-0003-0335-187X","https://orcid.org/0000-0002-9625-5176"],"authorRor":["https://ror.org/04xs57h96","https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Mosquito trap data from Kilombero Valley in Tanzania - a global hotspot for malaria.\n\nSince 2007, field entomologists working at Ifakara Health Institue (IHI) and at the University of Glasgow have been trapping and collecting primary malaria vectors for four villages in the Kilombero Valley: Lupiro, Kidugalo, Minepa and Sagamaganga. Trapped mosquitoes were identified to species level (Anopheles gambiae and A funestus), their sex recorded (male or female) and their abdominal status (fed or unfed) noted. When available, the daily mosquito data was consistently linked to micro climate data logger data (weather conditions on site, including averaged, minimum and maximum daytime and night time values for temperature, humidity and vapour pressure deficit). This long record allows exploring the relationship between malaria vector dynamics and related environmental conditions.  ","documentType":"GEMINI_DOCUMENT","familyName":["Baylis","Kreppel","Govella","Caminade","Ferguson"],"fullName":["Baylis, M.","Kreppel, K.","Govella, N.J.","Caminade, C.","Ferguson, H."],"funder":["Natural Environment Research Council"],"givenName":["Matthew","K.","N.J.","C.","H."],"grant":["NE/P004407/1"],"identifier":"89406b06-d0aa-4120-84db-a5f91b616053","incomingCitationCount":0,"keyword":["Tanzania","Kilombero","Lupiro","Kidugalo","Minepa","Sagamaganga","ENSO","malaria","weather","climate"],"keywordsOther":["ENSO","malaria","weather","climate"],"keywordsPlace":["Tanzania","Kilombero","Lupiro","Kidugalo","Minepa","Sagamaganga"],"licence":"Open government licence","lineage":"Trapped malaria mosquitoes were identified to species level (Anopheles gambiae, Anopheles funestus and Anopheles coustani), their sex recorded (male or female) and their abdominal status (fed or unfed) noted for four villages in the Kilombero Valley, Lupiro, Kidugalo , Minepa  and Sagamaganga. When available, the daily mosquito data was consistently linked to micro climate data logger data (including averaged, minimum and maximum daytime and night time values for temperature in Celcius and relative humidity in percentage). All households in a selected village were sampled monthly for one week (from Monday to Friday) before moving on to the next village. Consequently, all selected villages were visited at least five days per month over the project period (06/2016->09/2017). Two different trapping methods were employed: standard CDC traps and Mosquito Electrocuting Traps (MET).\n\n(1) Standard CDC traps were left overnight inside the studied households (indoor trapping - total night catch from 18pm to 6am). CDC light traps and batteries - CDC miniature light trap, Model 512, John Hock, Florida, USA and 12V batteries were used. Light of a small bulb attracts mosquitoes to the trap and a small rotating computer fan then sucks the insects into a collection bag or cup below. The Model 512 requires ca. 320 mAmps per hour to operate at 6.0-6.3 volts DC. We used sealed-electrolyte lead-acid 12V batteries provide power for at least 3 night's operation. The 12 volt batteries for the CDC traps were also checked at the beginning of every trapping night by voltmeter to ensure they are adequately charged.\n\n(2) Mosquito Electrocuting Traps (MET) were used to estimate mosquito abundance hourly data from 6pm to 6am (one indoor and one outdoor from 18pm to 6am). MET traps and batteries - The MET is composed of four 35 x 35 cm panels, arranged to form a square cavity into which human volunteers' legs are placed. The panels hold sets of vertical parallel stainless steel wires spaced 5 mm apart, which are electrically connected to a 24V battery-powered stable direct current (DC) power source (e.g. sealed-electrolyte lead-acid 12V batteries), thereby creating an electric potential between the wires to kill mosquitoes trying to pass through the wires, but without destroying the specimen. The power is supplied at low output, sufficient to kill mosquitoes on contact but not harming the volunteer. Dead mosquitoes were collected hourly in plastic cups and identified the following morning. Due to sporadic difficulties with the MET equipment, data from the MET collection is missing at the beginning of the study and for three weeks in June 2017. The voltage of the electric current on each panel of the grids of the MET traps was measured twice nightly using a voltmeter.  All abundance data was converted from paper sheets to excel spreadsheets. A subset of mosquitoes collected was tested for malaria parasites and to verify the species using PCR/ELISA tests, thus validating the identification process in the field.\n\nIndoor temperature and humidity were recorded with tiny tag data loggers (Tiny Tag plus 2; Gemini data loggers, UK, Ltd) placed inside houses on each night of sampling, approximately 1m above the ground. The tiny tag data loggers are calibrated annually by Gemini data loggers, UK, Ltd and every weekend by placing all loggers in the same room and checking their recordings are identical. The data was downloaded weekly and converted into excel spreadsheet.","locations":["POLYGON((28.3 -11.827, 28.3 -0.747, 40.869 -0.747, 40.869 -11.827, 28.3 -11.827))"],"metadataDate":"2026-05-11T18:08:32.000Z","orcid":["https://orcid.org/0000-0003-0335-187X","https://orcid.org/0000-0001-7743-6919","https://orcid.org/0000-0002-3846-7082","https://orcid.org/0000-0002-9625-5176"],"organisation":["University of Liverpool","University of Glasgow & IHI","IHI","University of Glasgow","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/89406b06-d0aa-4120-84db-a5f91b616053","10.5285/89406b06-d0aa-4120-84db-a5f91b616053","doi:10.5285/89406b06-d0aa-4120-84db-a5f91b616053"],"resourceType":"Dataset","ror":["https://ror.org/04xs57h96","https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"Mosquito trap data from Kilombero Valley in Tanzania - a global hotspot for malaria.\n\nSince 2007, field entomologists working at Ifakara Health Institue (IHI) and at the University of Glasgow have been trapping and collecting primary malaria vectors for four villages...","state":"published","title":"Entomological and microclimate data logger data for the Kilombero valley in Tanzania","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Edinburgh","University of Zimbabwe","Universidade Eduardo Mondlane","Universidade Lurio","Universidade Zambeze","Centro polivalente Leão Dehon"],"authorFamilyName":["Woollen","Grundy","Bechel","Ryan","Nhaduco","Daude","Manguiao","Da Costa","Lisboa","Junior","Mutemba","Pais","Zavale","Cumbula","Xerinda","Buque","Meneses","Rodrigues","Mário","Ribeiro","Domingos","Mbandze","Armando","Jennings"],"authorFullName":["Woollen, E.","Grundy, I.","Bechel, A.","Ryan, C.M.","Nhaduco, O.","Daude, I.A.","Manguiao, A.A.","Da Costa, A.A.","Lisboa, S.N.","Junior, J.F.","Mutemba, L.","Pais, A.","Zavale, M.","Cumbula, S.","Xerinda, H.","Buque, H.","Meneses, D.","Rodrigues, C.","Mário, A.M.","Ribeiro, N.","Domingos, L.P.","Mbandze, A.","Armando, F.","Jennings, P."],"authorGivenName":["E.","I","A.","C.M.","O.","I.A.","A.A.","S.N.","J.F.","L.","M.","S.","H.","D.","C.","A.M.","N.","L.P.","F.","P."],"authorOrcid":["https://orcid.org/0000-0002-6504-4835","https://orcid.org/0000-0002-4552-0961","https://orcid.org/0000-0002-1802-0128"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/04ze6rb18","https://ror.org/05n8n9378","https://ror.org/03sbnrq14","https://ror.org/02azgvq37"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset includes lists of local tree names, tree species identification and local uses of trees in seventeen different villages across three Districts in Mozambique, Africa. We collated species lists from seven villages in Mabalane District, Gaza Province, ten villages in Marrupa District, Niassa Province, and ten villages in Gurue District Zambezia Province. Data were collected in Mabalane between May-Sep 2014, Marrupa between May-Aug 2015, and Gurue between Sep-Dec 2015. Lists of local tree names were collated from several forest plots and agricultural field surveys occurring within the sampled villages, and their species identified in the field by the authors and/or from dried and pressed samples by botanists at the Universidade Eduardo Mondlane in Maputo. Tree species uses by local populations were recorded through a mixture of key informant interviews, focus group discussions, village surveys and ad-hoc observations. This dataset was collected as part of the Ecosystem Services for Poverty Alleviation (ESPA) funded ACES project , which aims to understand how changing land use impacts on ecosystem services and human wellbeing of the rural poor in Mozambique.","documentType":"GEMINI_DOCUMENT","familyName":["Woollen","Grundy","Bechel","Ryan","Nhaduco","Daude","Manguiao","Da Costa","Lisboa","Junior","Mutemba","Pais","Zavale","Cumbula","Xerinda","Buque","Meneses","Rodrigues","Mário","Ribeiro","Domingos","Mbandze","Armando","Jennings"],"fullName":["Woollen, E.","Grundy, I.","Bechel, A.","Ryan, C.M.","Nhaduco, O.","Daude, I.A.","Manguiao, A.A.","Da Costa, A.A.","Lisboa, S.N.","Junior, J.F.","Mutemba, L.","Pais, A.","Zavale, M.","Cumbula, S.","Xerinda, H.","Buque, H.","Meneses, D.","Rodrigues, C.","Mário, A.M.","Ribeiro, N.","Domingos, L.P.","Mbandze, A.","Armando, F.","Jennings, P."],"funder":["Natural Environment Research Council"],"givenName":["E.","I","A.","C.M.","O.","I.A.","A.A.","S.N.","J.F.","L.","M.","S.","H.","D.","C.","A.M.","N.","L.P.","F.","P."],"grant":["NE/K010395/1"],"identifier":"52371ef0-855f-40c8-8567-f8965f9cbf03","incomingCitationCount":0,"keyword":["Mozambique","Africa","Mabalane District","Gaza Province","Marrupa District","Niassa Province","Gurue District"," Zambezia Province","Ecosystem services","firewood","construction","medicine","cultural","hunting","cultural heritage","food","charcoal"],"keywordsOther":["firewood","construction","medicine","cultural","hunting","cultural heritage","food","charcoal"],"keywordsPlace":["Mozambique","Africa","Mabalane District","Gaza Province","Marrupa District","Niassa Province","Gurue District"," Zambezia Province"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"All data were quality assured by the first and second author. When in the field, all teams were trained in data collection methods to ensure consistent robust records. All field teams had a translator to translate from the local language to Portuguese or English. All observations recorded in Portuguese were translated to English by the lead author. If several different species were identified for the same local name a preference for the identification made in the field, rather than that of the dried sample, was made, as correct identification of whole trees are more likely to be correct. If identification was very uncertain, species were labelled as 'unknown'. Grouping all recorded local tree names and synonyms into similar sounding/spelled groups to assign a standardized local name was done by the lead for consistency.","locations":["POLYGON((29.68 -27.479, 29.68 -10.347, 42.248 -10.347, 42.248 -27.479, 29.68 -27.479))"],"metadataDate":"2026-05-11T18:24:06.000Z","orcid":["https://orcid.org/0000-0002-6504-4835","https://orcid.org/0000-0002-4552-0961","https://orcid.org/0000-0002-1802-0128"],"organisation":["University of Edinburgh","University of Zimbabwe","Universidade Eduardo Mondlane","Universidade Lurio","Universidade Zambeze","Centro polivalente Leão Dehon","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/52371ef0-855f-40c8-8567-f8965f9cbf03","10.5285/52371ef0-855f-40c8-8567-f8965f9cbf03","doi:10.5285/52371ef0-855f-40c8-8567-f8965f9cbf03"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/04ze6rb18","https://ror.org/05n8n9378","https://ror.org/03sbnrq14","https://ror.org/02azgvq37","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset includes lists of local tree names, tree species identification and local uses of trees in seventeen different villages across three Districts in Mozambique, Africa. We collated species lists from seven villages in Mabalane District, Gaza Province, ten villages...","state":"published","title":"Local tree names, uses and species identification in Mozambique","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Bath ","7 Lakes Alliance"],"authorFamilyName":["Slavin","Wain"],"authorFullName":["Slavin, E.I.","Wain, D.J."],"authorGivenName":["E.I.","D.J."],"authorOrcid":["https://orcid.org/0000-0001-9400-0703","https://orcid.org/0000-0001-5091-102X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains 5-day of water velocities at Durleigh Reservoir in Somerset, England. A Nortek Vector acoustic doppler velocimeter (ADV) was used to collect the dataset.  The ADV was deployed between 20 August 2018 (15:00) and 24 August 2018 (09:15), located approximately 30 m north of the surface mixers in Durleigh reservoir. The surface mixers were operating when the ADV was deployed and were switched off between 07:17 on 22 August and 16:42 on 23 August 2018.  ","documentType":"GEMINI_DOCUMENT","familyName":["Slavin","Wain"],"fullName":["Slavin, E.I.","Wain, D.J.","Slavin, E."],"givenName":["E.I.","D.J.","Emily"],"identifier":"fd3eb9f3-832e-4a16-b9db-fd6045242ecf","incomingCitationCount":0,"keyword":["Durleigh reservoir","Water quality","Pollution","Environmental survey","reservoir","water velocity"],"keywordsOther":["reservoir","water velocity"],"keywordsPlace":["Durleigh reservoir"],"keywordsTheme":["Water quality","Pollution","Environmental survey"],"licence":"Open government licence","lineage":"The ADV was mounted in a steel frame so that the sensor was positioned 10 cm above the sediments when deployed. Prior to deployment the ADV compass was calibrated and the instrument was set up to measure in the ENU directions. Velocities were measured using burst mode, measuring for 16 seconds every 10 minutes at a frequency of 64 Hz for 1024 samples.\n\nThe data available to download are a .dat and .sen files, converted to .csv files, for each day of sampling (e.g. day 1 = 20 August 2018). The .dat files, indicated by the suffux _dat in the file name, include velocities (E/N/U) in m s-1, amplitude (1-3) in counts, signal to noise ratio (1-3) in dB, correlation (1-3) in % and pressure (dbar). The .sen files, indicated by the suffux _sen in the file name, include the time, heading (degrees), pitch (degrees), roll (degrees), sound speed (m s-1), and temperature (°C). ","locations":["POLYGON((-3.056 51.118, -3.056 51.125, -3.037 51.125, -3.037 51.118, -3.056 51.118))"],"metadataDate":"2026-05-11T18:19:09.000Z","orcid":["https://orcid.org/0000-0001-9400-0703","https://orcid.org/0000-0001-5091-102X"],"organisation":["University of Bath ","7 Lakes Alliance","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-05-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fd3eb9f3-832e-4a16-b9db-fd6045242ecf","10.5285/fd3eb9f3-832e-4a16-b9db-fd6045242ecf","doi:10.5285/fd3eb9f3-832e-4a16-b9db-fd6045242ecf"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains 5-day of water velocities at Durleigh Reservoir in Somerset, England. A Nortek Vector acoustic doppler velocimeter (ADV) was used to collect the dataset.  The ADV was deployed between 20 August 2018 (15:00) and 24 August 2018 (09:15), located approximately...","state":"published","title":"Acoustic Doppler Velocimeter measurements from Durleigh Reservoir, August 2018","topic":["0/Water quality/","0/Pollution/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Smart","Whittaker"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Smart, S.M.","Whittaker, H.A."],"authorGivenName":["C.J.","R.G.H.","S.M.","H.A."],"authorOrcid":["https://orcid.org/0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of plant species presence and abundance in different sizes and types of plots from 256 1km x 1km square sites surveyed across Great Britain in 1978. Many of the plots were repeated in 1990, 1998 and 2007. General information about the plot was recorded including plot number and type as well as species presence and (usually) cover. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. ","documentType":"GEMINI_DOCUMENT","familyName":["Wood","Barr","Bunce","Smart","Whittaker"],"fullName":["Wood, C.","Barr, C.J.","Bunce, R.G.H.","Smart, S.M.","Whittaker, H.A."],"givenName":["Claire","C.J.","R.G.H.","S.M.","H.A."],"identifier":"67bbfabb-d981-4ced-b7e7-225205de9c96","incomingCitationCount":6,"keyword":["Great Britain","plants","vegetation","Environmental survey"],"keywordsOther":["plants","vegetation","Environmental survey"],"keywordsPlace":["Great Britain"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1978 by surveyors (a few sites were surveyed in 1977). Data were recorded from 256 1km squares sited across Britain, selected by random stratified sample. The survey was managed by the Institute of Terrestrial Ecology (which later became part of the Centre for Ecology & Hydrology). Standard Countryside Survey methodology was applied (refer to the online documentation). ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:18:35.000Z","orcid":["https://orcid.org/0000-0003-2750-7832"],"organisation":["UK Centre for Ecology & Hydrology","Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2014-03-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1390493726292","CEH:EIDC::1390493726292","https://catalogue.ceh.ac.uk/id/67bbfabb-d981-4ced-b7e7-225205de9c96","10.5285/67bbfabb-d981-4ced-b7e7-225205de9c96","doi:10.5285/67bbfabb-d981-4ced-b7e7-225205de9c96"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of plant species presence and abundance in different sizes and types of plots from 256 1km x 1km square sites surveyed across Great Britain in 1978. Many of the plots were repeated in 1990, 1998 and 2007. General information about the plot was...","state":"published","title":"Countryside Survey 1978 vegetation plot data","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Leeds","Swedish University of Agricultural Sciences","Swansea University"],"authorFamilyName":["Mugabo","Gilljam","Petteway","Hall","Yuan","Fowler","Sait"],"authorFullName":["Mugabo, M.","Gilljam, D.","Petteway, L.","Hall, E.","Yuan, C.","Fowler, M.S.","Sait, S.M."],"authorGivenName":["M.","D.","L.","E.","C.","M.S.","S. M."],"authorOrcid":["https://orcid.org/0000-0002-2346-2617","https://orcid.org/0000-0003-1544-0407"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/02yy8x990","https://ror.org/053fq8t95"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on life history variation and population dynamics in response to coloured environmental variation in the laboratory model system comprised of the moth Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst). \n\nData were collected from two complementary experiments investigating the effects of daily coloured temperature fluctuations on individual life history variation (single-generation life history experiment) and population dynamics (multi-generation microcosm experiment) in both species. In both experiments, the effects of three types of coloured noise were investigated and compared to constant temperature conditions: blue noise (characterized by rapid (negatively autocorrelated) fluctuations), red noise (characterized by slow (positively autocorrelated) fluctuations) and white noise (characterized by random fluctuations). The life history experiment lasted 56 days and the microcosm experiment lasted 310 days.","documentType":"GEMINI_DOCUMENT","familyName":["Mugabo","Gilljam","Petteway","Hall","Yuan","Fowler","Sait"],"fullName":["Mugabo, M.","Gilljam, D.","Petteway, L.","Hall, E.","Yuan, C.","Fowler, M.S.","Sait, S.M."],"funder":["Natural Environment Research Council"],"givenName":["Marianne","M.","D.","L.","E.","C.","M.S.","S. M."],"grant":["NE/N00213X/1"],"identifier":"ef7e47ae-bd28-4449-8587-8e5dda4ccfee","incomingCitationCount":0,"keyword":["Animal behaviour","Venturia canescens","Plodia interpunctella","Indian Meal Moth"],"keywordsOther":["Venturia canescens","Plodia interpunctella","Indian Meal Moth"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"A single-generation life history experiment and a multi-generation microcosm experiment was carried out in the Plodia interpunctella-Venturia canescens host-parasitoid laboratory model system to investigate the effects of coloured temperature fluctuations on life history variation and population dynamics in a trophic interaction. The colour of environmental variation refers to its temporal (or spatial) structure. High frequencies (rapid fluctuations) dominate in blue environments, low frequencies (slow fluctuations) dominate in red environments and there is no dominant frequency in white environments. \n\nMore details of the material and methods can be found in the Supplementary information.","metadataDate":"2026-05-11T18:11:13.000Z","orcid":["https://orcid.org/0000-0002-2346-2617","https://orcid.org/0000-0003-1544-0407"],"organisation":["University of Leeds","Swedish University of Agricultural Sciences","Swansea University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ef7e47ae-bd28-4449-8587-8e5dda4ccfee","10.5285/ef7e47ae-bd28-4449-8587-8e5dda4ccfee","doi:10.5285/ef7e47ae-bd28-4449-8587-8e5dda4ccfee"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/024mrxd33","https://ror.org/02yy8x990","https://ror.org/053fq8t95","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on life history variation and population dynamics in response to coloured environmental variation in the laboratory model system comprised of the moth Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens...","state":"published","supplementalDescription":["Gilljam, D., Knape, J., Lindén, A., Mugabo, M., Sait, S. M., & Fowler, M. S. (2018). The colour of environmental fluctuations associated with terrestrial animal population dynamics. Global Ecology and Biogeography, 28(2), 118–130. "],"title":"Effects of coloured environmental noise on life history variation and population dynamics in the Plodia-Venturia trophic interaction","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Aberdeen","UK Centre for Ecology & Hydrology","University of Exeter","Sabah Forestry Department","Stirling University","Universidad Rey Juan Carlos"],"authorFamilyName":["Burslem","Banin","Bartholomew","Bin Suis","Bittencourt","Chapman","Dent","Hayward","O'Brien","Rowland"],"authorFullName":["Burslem, D.F.R.P.","Banin, L.F.","Bartholomew, D.C.","Bin Suis, M.A.F.","Bittencourt, P.R.L.","Chapman, D.","Dent, D.H.","Hayward, R.M.","O'Brien, M.J.","Rowland, L.M."],"authorGivenName":["D.F.R.P.","L.F.","D.C.","M.A.F.","P.R.L.","D.","D.H.","R.M.","M.J.","L.M."],"authorOrcid":["https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0002-1168-3914","https://orcid.org/0000-0002-8123-1817","https://orcid.org/0000-0002-9653-225X"],"authorRor":["https://ror.org/016476m91","https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/03sfqvm15","https://ror.org/045wgfr59","https://ror.org/01v5cv687"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes records of counts at four censuses between September 2019 and February 2021 of the number of seedlings of woody plants identified to species (or morphospecies) on a total of 207 plots located in either logged forest in the Ulu Segama Forest Reserve or unlogged forest in the Danum Valley Conservation Area, Malaysia.\n\nThese data were collected as part of NERC project “Seeing the fruit for the trees in Borneo: responding to an unpredictable community-level fruiting event” (NE/T006560/1).","documentType":"GEMINI_DOCUMENT","familyName":["Burslem","Banin","Bartholomew","Bin Suis","Bittencourt","Chapman","Dent","Hayward","O'Brien","Rowland"],"fullName":["Burslem, D.F.R.P.","Banin, L.F.","Bartholomew, D.C.","Bin Suis, M.A.F.","Bittencourt, P.R.L.","Chapman, D.","Dent, D.H.","Hayward, R.M.","O'Brien, M.J.","Rowland, L.M."],"funder":["Natural Environment Research Council"],"givenName":["D.F.R.P.","L.F.","D.C.","M.A.F.","P.R.L.","D.","D.H.","R.M.","M.J.","L.M."],"grant":["NE/T006560/1"],"identifier":"c1813d0d-193f-4f23-82c6-333d5d099b42","incomingCitationCount":0,"keyword":["Malaysia","Sabah","Biodiversity"," dipterocarp","logging","global change","mast fruiting","plant functional trait","seedling","Southeast Asia","biodiversity","demography","tropical forest"],"keywordsOther":[" dipterocarp","logging","global change","mast fruiting","plant functional trait","seedling","Southeast Asia","biodiversity","demography","tropical forest"],"keywordsPlace":["Malaysia","Sabah"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Seedling count data were collected on plots of size 1 m2 established in primary unlogged forest in the Danum Valley Conservation Area and logged forest in the Ulu Segama Forest Reserve in September to October 2019 during a mast fruiting event. These plots were re-censused in November-December 2019, January-May 2020 and February-March 2021. Taxonomic identifications were conducted by comparison with a seedling reference collection and local knowledge. ","locations":["POLYGON((86.309 -13.643, 86.309 11.885, 129.551 11.885, 129.551 -13.643, 86.309 -13.643))"],"metadataDate":"2026-05-11T18:16:20.000Z","orcid":["https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0002-1168-3914","https://orcid.org/0000-0002-8123-1817","https://orcid.org/0000-0002-9653-225X"],"organisation":["University of Aberdeen","UK Centre for Ecology & Hydrology","University of Exeter","Sabah Forestry Department","Stirling University","Universidad Rey Juan Carlos","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c1813d0d-193f-4f23-82c6-333d5d099b42","10.5285/c1813d0d-193f-4f23-82c6-333d5d099b42","doi:10.5285/c1813d0d-193f-4f23-82c6-333d5d099b42"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/03sfqvm15","https://ror.org/045wgfr59","https://ror.org/01v5cv687","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes records of counts at four censuses between September 2019 and February 2021 of the number of seedlings of woody plants identified to species (or morphospecies) on a total of 207 plots located in either logged forest in the Ulu Segama Forest Reserve...","state":"published","title":"Tropical forest seedling census data from Danum Valley, Sabah, Malaysia, 2019-2021","topic":["0/Biodiversity/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Esri file geodatabase"],"description":"This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Great Britain.  The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM2015 Dataset Documentation).  The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.  LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. \n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.\n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.","Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["Clare","C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"6c6c9203-7333-4d96-88ab-78925e7a4e73","incomingCitationCount":79,"keyword":["Land cover","Mapping","land cover"],"keywordsOther":["land cover"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"For LCM2015, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types.  The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then imported into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster classification product is the majority class per polygon i.e. the dominant class for each polygon.  LCM2015 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007 and LCM2015 the framework is based on generalised OS MasterMap (R). The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:17:35.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-04-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6c6c9203-7333-4d96-88ab-78925e7a4e73","10.5285/6c6c9203-7333-4d96-88ab-78925e7a4e73","doi:10.5285/6c6c9203-7333-4d96-88ab-78925e7a4e73"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Great Britain.  The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover...","state":"published","title":"Land Cover Map 2015 (vector, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology","The Institute of Terrestrial Ecology"],"authorFamilyName":["Ridding","Hawes","Walls","Wells","Cox","Williamson","Pereira","Thacker","Keenan","Pywell"],"authorFullName":["Ridding, L.E.","Hawes, P.","Walls, R.","Wells, T.","Cox, R.","Williamson, J.","Pereira, M.G.","Thacker, S.A.","Keenan, P.O.","Pywell, R.F."],"authorGivenName":["L.E.","P.","R.","T.","J.","M.G.","S.A.","P.O.","R.F."],"authorOrcid":["https://orcid.org/0000-0003-3141-8795","https://orcid.org/0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains vascular plant species abundance, average sward height, and soil analysis data from Parsonage Down National Nature Reserve (NNR), in southern England, in 1970, 1990 and 2016. Vascular plant species abundance and average sward height were recorded for each quadrat located along one of four transects.  The transects were located in a CG2 Festuca ovina – Avenula pratensis grassland which dominates the majority of the site. Soil samples were also taken from various points along each transect and subsequently analysed for pH, loss-on-ignition, exchangeable potassium, magnesium, calcium, phosphate and total nitrogen. The dataset was created for a study which examined long-term vegetation change at the nature reserve.","documentType":"GEMINI_DOCUMENT","familyName":["Ridding","Hawes","Walls","Wells","Cox","Williamson","Pereira","Thacker","Keenan","Pywell"],"fullName":["Ridding, L.E.","Hawes, P.","Walls, R.","Wells, T.","Cox, R.","Williamson, J.","Pereira, M.G.","Thacker, S.A.","Keenan, P.O.","Pywell, R.F."],"funder":["Natural Environment Research Council"],"givenName":["L.E.","P.","R.","T.","J.","M.G.","S.A.","P.O.","R.F."],"grant":["NE/N018125/1"],"identifier":"ffc06839-e64c-4844-aae7-db3b0a012e2e","incomingCitationCount":0,"keyword":["Parsonage Down National Nature Reserve","ASSIST","Biodiversity","Soil","Environmental survey"],"keywordsPlace":["Parsonage Down National Nature Reserve"],"keywordsProject":["ASSIST"],"keywordsTheme":["Biodiversity","Soil","Environmental survey"],"licence":"Open government licence","lineage":"Each survey was carried out by experienced botanical surveyors working in pairs (or threes), using the same recording methods and equipment, including one surveyor who was involved in both the 1970 and 2016 re-survey. The plant data were collected using 20 cm x 20 cm quadrats located every 3 feet along 4 transects. For each quadrat, vascular plant species abundance were recorded using the Domin scale and average sward height was recorded using a metre ruler. Twenty-two soil samples were taken at various points along each transect at two depths, 0-5 cm and 5-10 cm. Soil analyses was conducted using standardised protocols, detailed within the supporting documentation. Wooden stakes from the 1970 survey allowed the original transects to be found in 1990. However, the stakes were no longer present in 2016 so transects were accurately re-located by geo-referencing the original survey maps using GIS (geographic information system) methods, detailed within the supporting documentation.","locations":["POLYGON((-1.958 51.161, -1.958 51.18, -1.892 51.18, -1.892 51.161, -1.958 51.161))"],"metadataDate":"2026-05-11T18:05:05.000Z","orcid":["https://orcid.org/0000-0003-3141-8795","https://orcid.org/0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","The Institute of Terrestrial Ecology"],"publicationDate":"2019-04-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ffc06839-e64c-4844-aae7-db3b0a012e2e","10.5285/ffc06839-e64c-4844-aae7-db3b0a012e2e","doi:10.5285/ffc06839-e64c-4844-aae7-db3b0a012e2e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains vascular plant species abundance, average sward height, and soil analysis data from Parsonage Down National Nature Reserve (NNR), in southern England, in 1970, 1990 and 2016. Vascular plant species abundance and average sward height were recorded...","state":"published","supplementalDescription":["A long-term National Capability programme, jointly funded by NERC and BBSRC. With support from the farming industry, ASSIST will meet the challenge of feeding growing populations without causing unacceptable environmental damage."],"supplementalName":["ASSIST: Achieving Sustainable Agricultural Systems"],"title":"Vegetation and soil data recorded at Parsonage Down National Nature Reserve in 1970, 1990 and 2016","topic":["0/Biodiversity/","0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"authorFullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"authorGivenName":["J.","S.","E.J. ","T.","M."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel, lead, zinc, sulphur, and nitrogen over the UK on a 3x3 km2 grid for years between 1750 and 2018.\n\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"fullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"funder":["Natural Environment Research Council"],"givenName":["J.","S.","E.J. ","T.","M.","Janice"],"grant":["NE/R016429/1 "],"identifier":"bf508daa-c33c-4d75-a250-72b94b1855d4","incomingCitationCount":0,"keyword":["UK-SCAPE","European Monitoring and Evaluation Programme (EMEP)","EMEP4UK","Pollution","Modelling","oxides of sulphur","aerosol","reduced nitrogen","nitrogen oxides","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen"],"keywordsOther":["oxides of sulphur","aerosol","reduced nitrogen","nitrogen oxides","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen"],"keywordsProject":["UK-SCAPE","European Monitoring and Evaluation Programme (EMEP)","EMEP4UK"],"keywordsTheme":["Pollution","Modelling"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\n\nTo assess and control the quality of the heavy metal data, we used observations from the Defra UK Heavy Metals Network and historical observation from NETCEN (Baker 2001).\n\nThe data were processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\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":"2026-05-11T18:07:47.000Z","orcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bf508daa-c33c-4d75-a250-72b94b1855d4","10.5285/bf508daa-c33c-4d75-a250-72b94b1855d4","doi:10.5285/bf508daa-c33c-4d75-a250-72b94b1855d4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel,...","state":"published","supplementalDescription":["The Weather and Research Forecast (WRF) model derived meteorology has been used to drive the EMEP4UK model: Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. "," The National Centers for Environmental Prediction Final Reanalysis dataset have been used as initial and boundary condition, and to nudge the WRF model: National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6. Accessed  01/01/2022  ","Data from this center were used in the EMEP4UK model","Data from this inventory were used in the EMEP4UK model","Emissions used in EMEP4UK model are available from this paper: Tomlinson et al., 2023. Estimates of anthropogenic emissions of metals and air pollutants in the UK at a 1 km resolution, 1750-2100","Observations that were used to assess and control the quality of the heavy metal data can be found in this report: Baker, S.J., 2001. Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999 (No. AEAT/R/ENV/0264). National Environmental Technology Centre."],"supplementalName":["Weather and Research Forecast model","National Centers for Environmental Prediction Final Reanalysis dataset ","EU EMEP Emissions Center","The UK National Atmospheric Emissions Inventory","The Republic of Ireland National Emissions Inventory","Tomlinson et al., (2023)","Baker (2001)"],"title":"Heavy metal, nitrogen, and sulphur atmospheric deposition from the European Monitoring and Evaluation Program Model for the UK (EMEP4UK) for 1750-2018","topic":["0/Pollution/","0/Modelling/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["American Museum of Natural History","Betty and Gordon Moore Center for Science, Conservation International"],"authorFamilyName":["Horning","Hewson"],"authorFullName":["Horning, N.","Hewson, J."],"authorGivenName":["N.","J."],"authorRor":["https://ror.org/024weye46"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The products capture current land use/cover for four areas of interest in Corridor Ankeniheny Zahamena (CAZ) generated based on very high resolution imagery (SPOT 6). Field-based training and validation data were used and supervised classifications created using Random Forest classifier.","documentType":"GEMINI_DOCUMENT","familyName":["Hewson","Horning"],"fullName":["Hewson, J.","Horning, N."],"givenName":["J.","N."],"identifier":"ce535cef-842e-4875-ad80-26760900cec0","incomingCitationCount":1,"keyword":["Madagascar","Ankeniheny Zahamena forest corridor","Land cover","Land use"],"keywordsPlace":["Madagascar","Ankeniheny Zahamena forest corridor"],"keywordsTheme":["Land cover","Land use"],"licence":"Open government licence","lineage":"The study extent aims to capture the drivers of deforestation in the Corridor Ankeniheny-Zahamena (CAZ). Multiple variables were incorporated into the sampling design, including elevation, slope, bioclimate zone, length of dry season, soil type, deforestation history (by epoch and elevation), and access. \n\nBased on the above criteria, four Zones of Interest (ZOIs) were identified and modified in an iterative approach involving preliminary reconnaissance work, information on access provided by partners, and initial analyses of spatial data layers. \n\nCurrent land use/cover classifications were generated for each ZOI based on very high resolution imagery from SPOT 6. Field data collected by Work Package (WP) 2 and 4--which are impacts on hydrological benefits of alternative Payments for Ecosystem Services (PES) approaches and impacts on carbon storage/sequestration of alternative PES approaches--were used as training data. Supervised classifications were created using Random Forest classifier. ","locations":["POLYGON((48.202 -18.989, 48.202 -17.434, 49.152 -17.434, 49.152 -18.989, 48.202 -18.989))"],"metadataDate":"2026-05-11T18:09:32.000Z","organisation":["Betty and Gordon Moore Center for Science, Conservation International","American Museum of Natural History","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ce535cef-842e-4875-ad80-26760900cec0","10.5285/ce535cef-842e-4875-ad80-26760900cec0","doi:10.5285/ce535cef-842e-4875-ad80-26760900cec0"],"resourceType":"Dataset","ror":["https://ror.org/024weye46","https://ror.org/04xw4m193"],"shortenedDescription":"The products capture current land use/cover for four areas of interest in Corridor Ankeniheny Zahamena (CAZ) generated based on very high resolution imagery (SPOT 6). Field-based training and validation data were used and supervised classifications created using Random...","state":"published","title":"Very high resolution derived land cover/use classifications for the Corridor Ankeniheny-Zahamena (CAZ), Madagascar","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Dipterists Forum, Hoverfly Recording Scheme","British Myriapod and Isopod Group, Centipede Recording Scheme","Dipterists Forum, Cranefly Recording Scheme","Butterfly Conservation","National Amphibian & Reptile Recording Scheme","ARG UK","Riverfly Recording Schemes: Ephemeroptera","University of Sussex","Gelechiid Recording Scheme","British Bryological Society","British Lichen Society","British Dragonfly Society, Dragonfly Recording Network","Botanical Society of Britain and Ireland","Amphibian and Reptile Conservation"],"authorFamilyName":["Boyd","Pescott","Ball","Barber","Boardman","Fox","Harrower","Harvey","Haysom","Julian","MacAdam","Mathews","Morris","Palmer","Preston","Roy","Simkin","Taylor","Walker","Ward"],"authorFullName":["Boyd, R.","Pescott, O.L.","Ball, S.","Barber, T.","Boardman, P.","Fox, R.","Harrower, C.","Harvey, M.","Haysom, K.","Julian, A.","MacAdam, C.","Mathews, F.","Morris, R.","Palmer, S.","Preston, C.","Roy, D.","Simkin, J.","Taylor, P.","Walker, K.","Ward, R."],"authorGivenName":["R.","O.L.","S.","T.","P.","C.","M.","K.","A.","F.","D.","J."],"authorOrcid":["https://orcid.org/0000-0002-7973-9865","https://orcid.org/0000-0002-0685-8046","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid"],"description":"The dataset comprises one 1km habitat suitability surface for each of 5073 species of vascular plant, mammal, bryophyte, lichen, insect and non-insect invertebrate. The outputs are provided as .asc files denoting habitat suitability at a spatial resolution of 1km. The map projection is OSGB 1936 (EPSG:27700).","documentType":"GEMINI_DOCUMENT","familyName":["Boyd","Pescott","Ball","Barber","Boardman","Fox","Harrower","Harvey","Haysom","Julian","MacAdam","Mathews","Morris","Palmer","Preston","Roy","Simkin","Taylor","Walker","Ward"],"fullName":["Boyd, R.","Pescott, O.L.","Ball, S.","Barber, T.","Boardman, P.","Fox, R.","Harrower, C.","Harvey, M.","Haysom, K.","Julian, A.","MacAdam, C.","Mathews, F.","Morris, R.","Palmer, S.","Preston, C.","Roy, D.","Simkin, J.","Taylor, P.","Walker, K.","Ward, R."],"funder":["Natural Environment Research Council"],"givenName":["R.","O.L.","S.","T.","P.","C.","M.","K.","A.","F.","D.","J."],"grant":["NE/R016429/1"],"identifier":"ec921bc2-5538-47ed-9e72-0d687b4ca4d3","incomingCitationCount":1,"keyword":["Mapping","Species distribution models","Habitat suitability","Herptiles","mammal","invertebrate","insect","lichen","bryophyte","habitat","UK-SCAPE"],"keywordsOther":["Species distribution models","Habitat suitability","Herptiles","mammal","invertebrate","insect","lichen","bryophyte","habitat","UK-SCAPE"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"The habitat suitability surfaces represent the average predictions from three species distribution modelling algorithms. The models were fitted to opportunistically collected species occurrence data. Predictors include 25 land cover, climate and topographic covariates.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:27:27.000Z","orcid":["https://orcid.org/0000-0002-7973-9865","https://orcid.org/0000-0002-0685-8046","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Dipterists Forum, Hoverfly Recording Scheme","British Myriapod and Isopod Group, Centipede Recording Scheme","Dipterists Forum, Cranefly Recording Scheme","Butterfly Conservation","National Amphibian & Reptile Recording Scheme","ARG UK","Riverfly Recording Schemes: Ephemeroptera","University of Sussex","Gelechiid Recording Scheme","British Bryological Society","British Lichen Society","British Dragonfly Society, Dragonfly Recording Network","Botanical Society of Britain and Ireland","Amphibian and Reptile Conservation","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ec921bc2-5538-47ed-9e72-0d687b4ca4d3","10.5285/ec921bc2-5538-47ed-9e72-0d687b4ca4d3","doi:10.5285/ec921bc2-5538-47ed-9e72-0d687b4ca4d3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises one 1km habitat suitability surface for each of 5073 species of vascular plant, mammal, bryophyte, lichen, insect and non-insect invertebrate. The outputs are provided as .asc files denoting habitat suitability at a spatial resolution of 1km. The...","state":"published","title":"UK maps of habitat suitability surfaces at 1km resolution for mammals, lichens, bryophytes, plants and invertebrates 2000-2015","topic":["0/Mapping/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marthews"],"authorFullName":["Marthews, T.R."],"authorGivenName":["Toby Richard"],"authorOrcid":["https://orcid.org/0000-0003-3727-6468"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["tar.gz"],"description":"This dataset contains remapped driving data for a rectangular domain covering Kenya for 2000-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for any LSM that allows NetCDF input files.\n","documentType":"GEMINI_DOCUMENT","familyName":["Marthews"],"fullName":["Toby Richard Marthews","Marthews, T.R."],"funder":["Natural Environment Research Council"],"givenName":["Toby","Toby Richard"],"grant":["NE/X006247/1"],"identifier":"b4987cff-1060-489c-948f-4c6885a93e4d","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","climate","model","forecast"],"keywordsOther":["climate","model","forecast"],"keywordsTheme":["Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"The source data are from the ISIMIP project, specifically ISIMIP3b bias-adjusted climate input data (Inter-Sectoral Impact Model Intercomparison Project phase 3b (ISIMIP3b); info@isimip.org https://www.isimip.org ) (Gosling et al. 2025). For details of bias correction applied in ISIMIP datasets, please see https://www.isimip.org/gettingstarted/isimip3b-bias-correction/ .\n\nISIMIP data are available globally, but only at 0.5°x0.5°C global grid resolution (approx. 50 km resolution at the Equator), when most land surface modelling simulations require higher resolution. Therefore, using a bespoke (R) script written by Dr Toby Marthews, these data were regridded to 1 km resolution across the specified domain. In the interests of parsimony, no downscaling of these data was undertaken: this was a direct regridding process (a 'conservative remapping').\n\nBecause of file size limitations, carrying out this regridding step is often impossible at research institutions, therefore we provide these model-ready files in order to make these driving data more useful to a wider community.","locations":["POLYGON((33.75 -4.75, 33.75 5.5, 42 5.5, 42 -4.75, 33.75 -4.75))"],"metadataDate":"2026-05-11T17:44:41.000Z","orcid":["https://orcid.org/0000-0003-3727-6468"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b4987cff-1060-489c-948f-4c6885a93e4d","10.5285/b4987cff-1060-489c-948f-4c6885a93e4d","doi:10.5285/b4987cff-1060-489c-948f-4c6885a93e4d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains remapped driving data for a rectangular domain covering Kenya for 2000-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for any LSM that...","state":"published","supplementalDescription":["Gosling, S.N., Schmied, H.M., Bradley, A., Burek, P., Gedney, N., Grillakis, M., Guillaumot, L., Hanasaki, N., Ito, A., Kou-Giesbrecht, S., Koutroulis, A., Nishina, K., Otta, K., Qi, W., Sahu, R.-K., Satoh, Y., Schewe, J., (2025) ISIMIP3b Simulation Data from the Global Water Sector (v1.5), ISIMIP Repository."],"title":"Driving data for the period 2000-2025 for running the JULES Land Surface Model over Kenya","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Whatmore"],"authorFullName":["Whatmore, S."],"authorGivenName":["S."],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Microsoft Word (docx)"],"description":"This dataset consists of computer code transcripts for two proprietary flood risk models from a study as part of the NERC Rural Economy and Land Use (RELU) programme. This project was conceived in order to address the public controversies generated by the risk management strategies and forecasting technologies associated with diffuse environmental problems such as flooding and pollution. Environmental issues play an ever-increasing role in all of our daily lives. However, controversies surrounding many of these issues, and confusion surrounding the way in which they are reported, mean that sectors of the public risk becoming increasingly disengaged. To try to reverse this trend and regain public trust and engagement, this project aimed to develop a new approach to interdisciplinary environmental science, involving non-scientists throughout the process. Examining the relationship between science and policy, and in particular how to engage the public with scientific research findings, a major diffuse environmental management issue was chosen as a focus - flooding. As part of this approach, non-scientists were recruited alongside the investigators in forming Competency Groups - an experiment in democratising science. The Competency Groups were composed of researchers and laypeople for whom flooding is a matter of particular concern. The groups worked together to share different perspectives - on why flooding is a problem, on the role of science in addressing the problem, and on new ways of doing science together. We aimed to achieve four substantive contributions to knowledge: 1. To analyse how the knowledge claims and modelling technologies of hydrological science are developed and put into practice by policy makers and commercial organisations (such as insurance companies) in flood risk management. 2. To develop an integrated model for forecasting the in-river and floodplain effects of rural land management practices. 3. To experiment with a new approach to public engagement in the production of interdisciplinary environmental science, involving the use of Competency Groups. 4. To evaluate this new approach to doing public science differently and to identify lessons learnt that can be exported beyond this particular project to other fields of knowledge controversy. This dataset consists of computer code transcripts for two proprietary flood risk models. Flood risk and modelling interview transcripts from this study are available at the UK Data Archive under study number 6620 (see online resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).","documentType":"GEMINI_DOCUMENT","familyName":["Whatmore","Lane","Willis"],"fullName":["Whatmore, S.","Lane, S.","Willis, G."],"funder":["RELU"],"givenName":["S.","Stuart","Gillian"],"grant":["RES-227-25-0018"],"identifier":"0a385f48-9ae8-44be-af02-39fbebac1bf5","incomingCitationCount":0,"keyword":["Rural Economy and Land Use Programme","Understanding Environmental Knowledge Controversies: the Case for Flood Risk Management","Malton","North yorkshire","Pickering","Ryedale (district)","Academic personnel","Environmental engineering","Environmental management","Environmental policy","Floods","Land drainage","Modelling","Public opinion","Rural planning","Science policy","Specialists","Specialization","2007-2010"],"keywordsOther":["Malton","North yorkshire","Pickering","Ryedale (district)","Academic personnel","Environmental engineering","Environmental management","Environmental policy","Floods","Land drainage","Modelling","Public opinion","Rural planning","Science policy","Specialists","Specialization","2007-2010"],"keywordsProject":["Rural Economy and Land Use Programme","Understanding Environmental Knowledge Controversies: the Case for Flood Risk Management"],"licence":"Non-Open government licence","lineage":"Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-224-26-0041 Development of two new models was undertaken with the basic aim of estimating the effects of rural land management measures upon downstream flood risk in two separate case studies; Pickering ('bunding' model) and Uckfield ('overflow' model). The focus of these modelling approaches was on harnessing a greater depth of the information available to the modeller than perhaps traditionally used. In addition, the model development process was steered by Competency Groups in each respective area. This collaborative process drew on three identifiable knowledge sources: 1. experiential, as held by both academics and local members of the CGs 2. theoretical and encoded to the ways in which we tend to see the world as Newtonian (e.g. flood water has to go somewhere; it must conserve mass) 3 data-based, in terms of the records of rainfall and water level that we had obtained and which were used to develop and to test assumptions The two models developed were specifically tailored to the regional flooding problem by the innovative development process.","locations":["POLYGON((-6.375 49.9, -6.375 55.82, 1.79 55.82, 1.79 49.9, -6.375 49.9))"],"metadataDate":"2026-04-21T13:57:48.000Z","organisation":["University of Oxford","Durham University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2008-09-30T00:00:00.000Z","recordType":"Software","resourceIdentifier":["1414489256812","CEH:EIDC::1414489256812","https://catalogue.ceh.ac.uk/id/0a385f48-9ae8-44be-af02-39fbebac1bf5"],"resourceType":"Software","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/01v29qb04","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of computer code transcripts for two proprietary flood risk models from a study as part of the NERC Rural Economy and Land Use (RELU) programme. This project was conceived in order to address the public controversies generated by the risk management...","state":"published","supplementalName":["RELU Data Archive"],"title":"Flood model scripts - RELU Understanding environmental knowledge controversies","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Unaffiliated","Botanical Society of Britain and Ireland","Vegetation Survey and Assessment Ltd"],"authorFamilyName":["Ridding","Hawes","Walls","Pilkington","Bailey","Pywell","Pescott"],"authorFullName":["Ridding, L.E.","Hawes, P.","Walls, R.","Pilkington, S.L.","Bailey, J.","Pywell, R.F.","Pescott, O.L."],"authorGivenName":["L.E. ","P. ","R. ","S.L.","J.","R.F.","O.L."],"authorOrcid":["https://orcid.org/0000-0003-3141-8795","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0002-0685-8046"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02krbn758"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Vascular plant and bryophyte survey data from a 33-year chronosequence on bare chalk, used to investigate primary succession. The bare chalk plots were created from archaeological excavations on Down Farm, north Dorset, between the years 1986 and 2018, resulting in 13 different plots. The vascular plant survey was carried out in July 2019 using 50 cm x 50 cm quadrats. Quadrats were recorded every 1 m along a 16 m transect in each of the 13 plots. The bryophyte survey was carried out in February 2020 using 20 cm x 20 cm quadrats, along the same transects for 11 of the 13 plots. ","documentType":"GEMINI_DOCUMENT","familyName":["Ridding","Hawes","Walls","Pilkington","Bailey","Pywell","Pescott"],"fullName":["Ridding, L.E.","Hawes, P.","Walls, R.","Pilkington, S.L.","Bailey, J.","Pywell, R.F.","Pescott, O.L."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["L.E. ","P. ","R. ","S.L.","J.","R.F.","O.L."],"grant":["NE/N018125/1 "],"identifier":"358eb380-74a0-4acd-9df2-696fdf13a6d7","incomingCitationCount":0,"keyword":["Dorset","Environmental survey","vascular plant","succession","chalk","bryophyte"],"keywordsOther":["vascular plant","succession","chalk","bryophyte"],"keywordsPlace":["Dorset"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"A total of 13 transects (16 m in length) were set up in July 2019, with one in each of the excavated blocks dated 1986, 2004–2008, and 2013–2018 (2 blocks were excavated in 2016). The percentage cover of vascular plant species were recorded in 50 cm x 50 cm quadrats every 1 m along each of the 13 transects, giving a total of 208 quadrats. Vascular plants were identified to species level, with the exception of Taraxacum microspecies. The percentage cover of bryophytes were recorded in February 2020 using the same methodology, but with a 20 cm x 20 cm quadrat. Two plots were not recorded for bryophytes, the first of which (excavated in 2006) was due to rubble left on the plot, which would have influenced the colonisation of bryophytes and the second plot (excavated in 2016) was excluded due to time constraints, as there was already another plot recorded of this age. Bryophytes were identified to species level, with the exception of a few small and/or infertile individuals, where it was only possible to classify specimens to a group level (affecting some Didymodon and Bryum species).\nData were collected by experienced field ecologists. Paper data sheets were digitised into Excel and were checked for any anomalies.\n","locations":["POLYGON((-2.007 50.929, -2.007 50.933, -2.001 50.933, -2.001 50.929, -2.007 50.929))"],"metadataDate":"2026-05-11T18:04:20.000Z","orcid":["https://orcid.org/0000-0003-3141-8795","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0002-0685-8046"],"organisation":["UK Centre for Ecology & Hydrology","Unaffiliated","Botanical Society of Britain and Ireland","Vegetation Survey and Assessment Ltd","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/358eb380-74a0-4acd-9df2-696fdf13a6d7","10.5285/358eb380-74a0-4acd-9df2-696fdf13a6d7","doi:10.5285/358eb380-74a0-4acd-9df2-696fdf13a6d7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02krbn758","https://ror.org/04xw4m193"],"shortenedDescription":"Vascular plant and bryophyte survey data from a 33-year chronosequence on bare chalk, used to investigate primary succession. The bare chalk plots were created from archaeological excavations on Down Farm, north Dorset, between the years 1986 and 2018, resulting in...","state":"published","title":"Vascular plant and bryophyte survey from a 33-year chronosequence on bare chalk, Dorset, 2019-2020","topic":["0/Environmental survey/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["University of the West of Scotland","University of Strathclyde","Indian Institute of Technology Bombay"],"authorFamilyName":["Rodgers","Henriquez","Mooney","Mukherji"],"authorFullName":["Rodgers, K.","Henriquez, F.","Mooney, R.","Mukherji, S."],"authorGivenName":["K.","F.","R.","S."],"authorOrcid":["https://orcid.org/0000-0001-6934-6892","https://orcid.org/0000-0002-5534-1019","https://orcid.org/0000-0003-2426-0600","https://orcid.org/0000-0001-5722-3369"],"authorRor":["https://ror.org/04w3d2v20","https://ror.org/00n3w3b69","https://ror.org/02qyf5152"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes a range of determinants present in sediments and water at 8 locations along the Thane River, Vashi Creek, Mumbai between October 2021 and November 2023.  \nVariables measured include geochemical parameters pH, Ec, OM, MC, LOI, TOC, potentially toxic elements; Al, As, Al, Ca, Cd, Co, Cr, Cu, Fe, Mg, Mn, Ni, Pb, Sn, Se, V, Zn, and anions; fluoride, nitrite, bromide, nitrate, phosphate, and sulphate. \nData also includes antibiotic quantification within the Creek over the same time point. Data includes quantity of Azithromycin, Ciprofloxacin, Enrofloxacin, Erythromycin, Levofloxacin, Linezolid, Oxacillin, Penicillin, and Sulfamethazine.","documentType":"GEMINI_DOCUMENT","familyName":["Rodgers","Henriquez","Mooney","Mukherji"],"fullName":["Rodgers, K.","Henriquez, F.","Mooney, R.","Mukherji, S."],"funder":["Natural Environment Research Council"],"givenName":["K.","F.","R.","S."],"grant":["NE/T012986/1"],"identifier":"b22b914c-e2fc-4298-879a-1bd24f242b3c","incomingCitationCount":0,"keyword":["Vashi Creek","Mumbai","sediment","water","CETP","Potentially toxic elements","Physicochemical parameters","antibiotic"],"keywordsOther":["sediment","water","CETP","Potentially toxic elements","Physicochemical parameters","antibiotic"],"keywordsPlace":["Vashi Creek","Mumbai"],"licence":"Open government licence","lineage":"Samples were collected in Vashi creek along from a chemical effluent treatment plant (CETP). Surface sediments were grabbed using a Van Veen grab sampler. Water was taken 1 meter above the sediment. \n\nSpecific sampling dates: 7/10/21, 8/4/22, 20/01/23, 18/04/2023, 13/11/23\n\nSamples were then screened for antibiotics and geochemical parameters at IIT Bombay, or stabilised and transported to Scotland for metal analysis. \n\nAntibiotics were quantified using an LC-MS orbitrap. Metals quantified using ICP-AES. ","locations":["POLYGON((72.762 18.857, 72.762 19.384, 73.114 19.384, 73.114 18.857, 72.762 18.857))"],"metadataDate":"2026-05-11T17:44:15.000Z","orcid":["https://orcid.org/0000-0001-6934-6892","https://orcid.org/0000-0002-5534-1019","https://orcid.org/0000-0003-2426-0600","https://orcid.org/0000-0001-5722-3369"],"organisation":["University of the West of Scotland","University of Strathclyde","Indian Institute of Technology Bombay","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b22b914c-e2fc-4298-879a-1bd24f242b3c","10.5285/b22b914c-e2fc-4298-879a-1bd24f242b3c","doi:10.5285/b22b914c-e2fc-4298-879a-1bd24f242b3c"],"resourceType":"Dataset","rightsHolder":["University of the West of Scotland"],"ror":["https://ror.org/04w3d2v20","https://ror.org/00n3w3b69","https://ror.org/02qyf5152","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes a range of determinants present in sediments and water at 8 locations along the Thane River, Vashi Creek, Mumbai between October 2021 and November 2023.  \nVariables measured include geochemical parameters pH, Ec, OM, MC, LOI, TOC, potentially toxic...","state":"published","title":"Geochemical characterisation data of sediments and water, and antibiotic profile of water collected along Vashi creek, Mumbai, 2021-2023","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Kenya Forestry Research Institute"],"authorFamilyName":["Gray","Odee","Magare","Otieno","Kihara","Tendwa","Jason Kariuki","Perry","Cavers"],"authorFullName":["Gray, A.","Odee, D.","Magare, C.","Otieno, J.O.","Kihara, J.G.","Tendwa, E.M.","Jason Kariuki, J.","Perry, A.","Cavers, S."],"authorGivenName":["A.","D.","C.","J.O.","J.G.","E.M.","J.","S."],"authorOrcid":["https://orcid.org/0000-0002-6785-0590"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comes from Moringa oleifera and M. stenopetala seed pod collections harvested from known provenances in Kenya. The data includes both pod and seed traits as well as canopy and coppicing information for the mother trees.","documentType":"GEMINI_DOCUMENT","familyName":["Gray","Odee","Magare","Otieno","Kihara","Tendwa","Jason Kariuki","Perry","Cavers"],"fullName":["Gray, A.","Odee, D.","Magare, C.","Otieno, J.O.","Kihara, J.G.","Tendwa, E.M.","Jason Kariuki, J.","Perry, A.","Cavers, S."],"givenName":["A.","D.","C.","J.O.","J.G.","E.M.","J.","S."],"identifier":"2e9ad843-c5db-402a-8b47-de45bf7bbaf2","incomingCitationCount":0,"keyword":["Sub-Saharan Africa","Plant Traits","Tree Improvement","agroforestry","seed (biology)"],"keywordsOther":["Plant Traits","Tree Improvement","agroforestry","seed (biology)"],"keywordsPlace":["Sub-Saharan Africa"],"licence":"Open government licence","lineage":"Pods were returned to Kenya Forestry Research Institute in Nairobi and Pods were air dried. The pods and seed were then measured and scored for traits in the laboratory. Provenance localities were measured using a hand held GPS.","locations":["POLYGON((33.486 -4.828, 33.486 4.784, 41.968 4.784, 41.968 -4.828, 33.486 -4.828))"],"metadataDate":"2026-05-11T18:12:22.000Z","orcid":["https://orcid.org/0000-0002-6785-0590"],"organisation":["UK Centre for Ecology & Hydrology","Kenya Forestry Research Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2e9ad843-c5db-402a-8b47-de45bf7bbaf2","10.5285/2e9ad843-c5db-402a-8b47-de45bf7bbaf2","doi:10.5285/2e9ad843-c5db-402a-8b47-de45bf7bbaf2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comes from Moringa oleifera and M. stenopetala seed pod collections harvested from known provenances in Kenya. The data includes both pod and seed traits as well as canopy and coppicing information for the mother trees.","state":"published","title":"Pod and seed trait data for Moringa oleifera Lam. from Kenya 2019","version":1.0,"view":["public","matnic"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents"}