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Wildlife and biodiversity surveillance is largely carried out by public volunteers, often through specialist interest groups and national recording schemes, and is supplemented by professional surveys to fill gaps.  Biodiversity sustains healthy ecosystems and the natural resources and services (collectively 'natural capital') that are essential for human life, health and wellbeing.  Wildlife records are used extensively by environmental researchers, environmental policy-makers, land managers and conservation organisations: to understand drivers of change and to manage the UK's natural capital for social, economic and environmental benefit.","documentType":"infrastructurerecord","identifier":"01fe4086-0a66-470a-9eeb-b371b2a352d2","incomingCitationCount":0,"infrastructureCapabilities":"Building on centuries of UK wildlife observations, BRC was established in 1964 to coordinate and support wildlife recording across the UK.  It now provides leadership, liaison, coordination, expert support and underlying infrastructure - working with 85 National Recording Schemes, Societies and the public - to identify species and to collect, manage, analyse, interpret and publish the UK's wildlife data and records.  Outputs include publicly available data, atlases and information on species distribution for a wide range of UK terrestrial and freshwater taxonomic groups covering plants, animals and fungi.  BRC provides a world-leading capability in the management and use of volunteer-based wildlife recording.  Independent estimates from JNCC calculate provide a collective value of a £20 million per annum in UK volunteers’ time for biodiversity surveillance.","infrastructureCategory":["Wildlife monitoring schemes"],"infrastructureChallenge":["Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Environmental observatories"],"infrastructureScale":"UK","metadataDate":"2025-04-09T09:24:27.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/019d175a-6061-4cd6-bd0c-7f76b4816d2f","https://catalogue.ceh.ac.uk/id/01fe4086-0a66-470a-9eeb-b371b2a352d2"],"resourceType":"Science infrastructure","scienceArea":"Biodiversity","shortenedDescription":"The purpose of the Biological Records Centre (BRC) is to provide national leadership and coordination for collecting wildlife species records across the UK.  Wildlife and biodiversity surveillance is largely carried out by public volunteers, often through specialist…","state":"published","title":"Biological Records Centre (BRC) - collecting UK wildlife records","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the Upland Waters Monitoring Network (UWMN) is to monitor water quality and biodiversity in upland water bodies threatened by air pollution, climate change and land use change.  Upland waters provide much of the UK's drinking water and act as a refuge for a cold-adapted species threatened by climate change.  UWMN data informs management, policy and legislation with respect to air pollution and water management.  Originally established as the UK Acid Waters Monitoring Network to assess the ecological impact of acid emissions on acid-sensitive surface waters around the UK, the Upland Water Monitoring Network now has a broader remit to address other potential drivers of change in upland headwater systems, particularly nitrogen deposition (causing eutrophication), climate change and land use change.  UWMN provides the UK contribution to the UNECE International Cooperative Programme ICP Waters.","documentType":"infrastructurerecord","identifier":"0d588453-31ab-4eeb-91a1-cf9cd2a9f387","incomingCitationCount":0,"infrastructureCapabilities":"The Upland Waters Monitoring Network covers 11 lakes and 14 streams across the UK.  UWMN conducts chemical, physical and biological monitoring including: monthly and quarterly sampling for water chemistry; continuous monitoring of water temperature (using thermistor loggers); and a range of biological surveys (yearly for epilithic and sediment trap diatoms and macroinvertebrates; and three-yearly for aquatic macrophytes).  UWMN is closely aligned with other specialist long-term UKCEH upland water monitoring activities, particularly the Conwy and Plynlimon Research Catchments.","infrastructureCategory":["Instrumented sites"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Environmental observatories"],"infrastructureScale":"UK","metadataDate":"2025-04-09T09:24:37.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/9f35435c-9320-4cd8-874d-7dd503aa7797","https://catalogue.ceh.ac.uk/id/0d588453-31ab-4eeb-91a1-cf9cd2a9f387"],"resourceType":"Science infrastructure","scienceArea":"Water Resources","shortenedDescription":"The purpose of the Upland Waters Monitoring Network (UWMN) is to monitor water quality and biodiversity in upland water bodies threatened by air pollution, climate change and land use change.  Upland waters provide much of the UK's drinking water and act as a refuge…","state":"published","title":"Upland Waters Monitoring Network","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The FABLE Calculator is a land-use model that simulates pathways towards sustainable land-use and food systems.  Country-specific models are linked together to enable national teams to explore the part they can play in meeting national and global sustainability policy ambitions (for food security, climate and biodiversity) whilst taking account of trade constraints.","documentType":"infrastructurerecord","identifier":"a5850ba0-a912-4436-9178-8031226f8afc","incomingCitationCount":0,"infrastructureCapabilities":"The FABLE Calculator is an open-source, demand-driven accounting tool in Excel that enables rapid and transparent simulation of pathways towards sustainable land use and food systems.  It focuses on agriculture as the main driver of land-use change and includes 88 raw and processed agricultural products from the crop and livestock sectors.  User-defined scenario assumptions are generated to explore the impact of different policies and drivers on the level of agricultural activity, land-use change, food consumption, trade (imports and exports), greenhouse gas (GHG) emissions, water use, and biodiversity conservation in five-year timesteps from 2000 to 2050.       ","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:17.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a5850ba0-a912-4436-9178-8031226f8afc"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"The FABLE Calculator is a land-use model that simulates pathways towards sustainable land-use and food systems.  Country-specific models are linked together to enable national teams to explore the part they can play in meeting national and global sustainability policy…","state":"published","title":"Food, Agriculture, Biodiversity, Land-use and Energy (FABLE) Calculator","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the Bangor Satellite Labs is to provide:\n (1) Initial preparation of environmental samples for analysis by UKCEH Analytical Lab Service Lancaster Hub; and\n (2) Specialised soil and greenhouse gas analysis.","documentType":"infrastructurerecord","identifier":"87960507-cd26-4e80-bd50-592b3efdde2e","incomingCitationCount":0,"infrastructureCapabilities":"The Bangor Satellite Labs are equipped to prepare and analyse samples from soil, water, gas and plants.  Specialities include soil preparation and analysis of soil physical attributes.  The Bangor lab is not ISO accredited.","infrastructureCategory":["Analysis labs"],"infrastructureClass":["Analytical facilities"],"locations":["POINT(-4.13605 53.22455)"],"metadataDate":"2025-04-09T09:24:56.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/f8dc5eee-0d28-45ee-a98d-f9b4e76b907a","https://catalogue.ceh.ac.uk/id/87960507-cd26-4e80-bd50-592b3efdde2e"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"The purpose of the Bangor Satellite Labs is to provide:\n (1) Initial preparation of environmental samples for analysis by UKCEH Analytical Lab Service Lancaster Hub; and\n (2) Specialised soil and greenhouse gas analysis.","state":"published","title":"Analytical Chemistry Lab Service  Bangor Satellite","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the Whim Bog field manipulation experiment is to study the effects of nitrogen air pollution on a semi-natural peatland ecosystem. Peatlands occupy 12% of the UK’s land area and capture/store vast quantities of carbon dioxide (CO2) from the atmosphere, helping to offset human-generated greenhouse gas emissions that drive climate change. The Whim Bog experiment releases nitrogen onto the site in controlled volumes to mimic the effects of different levels of airborne nitrogen pollution. Researchers study the effects of different levels and combinations of elevated nitrogen on the peatland bog vegetation and on ecosystem services such as carbon storage and greenhouse gas emissions.","documentType":"infrastructurerecord","identifier":"6ab07974-b884-41ea-9223-076be09bb55d","incomingCitationCount":0,"infrastructureCapabilities":"Whim Bog is a typical Calluna vulgaris – Eriophorum vaginatum ombotrophic blanket bog (UK national vegetation classification NVC M19a). The site is equipped to apply different experimental treatments at quantified levels of nitrogen addition: (1) Dry deposition of ammonia gas (NH3) using an automated free-air release system to apply airborne nitrogen year-round from a point source along a 60m x 10m downwind transect; (2) Wet deposition of reduced nitrogen (NH4) and oxidised nitrogen (NO3) using a reservoir-and-pipe system to spray nitrogen-dosed rainwater under appropriate meteorological conditions onto 44 replicated plots each 13m2 in area; (3) Phosphorus and potassium additions to 16 plots to compare the effects of nitrogen with and without limitations of other nutrients. Meteorological conditions are measured both to control the experimental treatments and to interpret the results. Vegetation composition (diversity and abundance) and ecosystem function (biogeochemistry) is monitored to assess the effects of elevated nitrogen.","infrastructureCategory":["Field research platforms"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Environmental experiment platforms"],"infrastructureScale":"Area, city, farm, habitat","locations":["POINT(-3.2667 55.7667)"],"metadataDate":"2025-04-09T09:23:21.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/d636f62f-eed9-4a9c-b044-1d509ddd8ca3","https://catalogue.ceh.ac.uk/id/6ab07974-b884-41ea-9223-076be09bb55d"],"resourceType":"Science infrastructure","scienceArea":"Atmospheric Chemistry and Effects","shortenedDescription":"The purpose of the Whim Bog field manipulation experiment is to study the effects of nitrogen air pollution on a semi-natural peatland ecosystem. Peatlands occupy 12% of the UK’s land area and capture/store vast quantities of carbon dioxide (CO2) from the atmosphere,…","state":"published","title":"Peatland Nitrogen Pollution Experiment (Whim Bog)","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the Isle of May Long-Term Study (IMLOTS) is to study the drivers and causes of change in seabird populations - including demography, diet and behaviour.  This research informs marine spatial planning for the NE Atlantic Ocean, including: hemispheric scale seabird conservation; and the issuing of consent licences for offshore wind farms.  IMLOTS contributes to the Seabird Monitoring Programme for Britain and Ireland, and to UKCEH monitoring of environmental change.","documentType":"infrastructurerecord","identifier":"533dc921-6162-469b-8d52-98787a67e2f9","incomingCitationCount":0,"infrastructureCapabilities":"The Isle of May is about 1.5 kilometres (0.9 miles) long and 0.5 kilometres (0.3 miles) wide, owned and managed by NatureScot as a national nature reserve, with no permanent residents.  IMLOTS is run by UKCEH to provide the most comprehensive study of seabird populations in the UK from a series of study locations on the island.  IMLOTS sites are used to study seabird population ecology,  trophic interactions, ecotoxicology, disease ecology, behavioural ecology and physiology - to assess the effects of key drivers and causes of seabird population change, such as climate change, fishing, offshore renewable developments, contaminants and parasites. IMLOTS is a key site in the BTO/JNCC Seabird Monitoring Programme (SMP), an ongoing programme of annual monitoring and periodic surveys of 25 species of seabird that breed regularly in Britain and Ireland. SMP provides data on breeding numbers and breeding success of seabirds, both regionally and nationally, to enable their conservation status to be assessed.  ","infrastructureCategory":["Field research platforms"],"infrastructureChallenge":["Sustainable ecosystems: biodiversity net gain","Pollution"],"infrastructureClass":["Environmental experiment platforms"],"infrastructureScale":"Area, city, farm, habitat","locations":["POINT(-2.55666 56.18651)"],"metadataDate":"2025-04-09T09:24:56.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/7b31c402-3ffd-425f-a3bb-da5eda438d49","https://catalogue.ceh.ac.uk/id/533dc921-6162-469b-8d52-98787a67e2f9"],"resourceType":"Science infrastructure","scienceArea":"Biodiversity","shortenedDescription":"The purpose of the Isle of May Long-Term Study (IMLOTS) is to study the drivers and causes of change in seabird populations - including demography, diet and behaviour.  This research informs marine spatial planning for the NE Atlantic Ocean, including: hemispheric scale…","state":"published","title":"Isle of May Long-Term Study (IMLOTS)","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"NFC model code calculates exceedances of Critical Loads (for acidifying and for eutrophying air pollutants) and Critical Levels (for ammonia) to generate air pollution statistics.  It is used by UK and devolved governments, statutory bodies, NGOs, environmental planners and consultants: \n(1) to assess progress towards statutory targets;\n(2) to assess development applications; and\n(3) for UK reporting to the international Coordination Centre for Effects of the Air Convention (CLRTAP).","documentType":"infrastructurerecord","identifier":"b89ebbfe-0f38-4d7c-8a65-fa1862069390","incomingCitationCount":0,"infrastructureCapabilities":"NFC is a largely GIS-based model that uses process understanding and measurements from atmospheric chemistry, soil chemistry and biodiversity, together with habitat maps, to generate high-profile air pollution statistics (e.g. % area where critical load is exceeded; excess nitrogen) for UK nations, habitats and protected areas.","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:58.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b89ebbfe-0f38-4d7c-8a65-fa1862069390"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"NFC model code calculates exceedances of Critical Loads (for acidifying and for eutrophying air pollutants) and Critical Levels (for ammonia) to generate air pollution statistics.  It is used by UK and devolved governments, statutory bodies, NGOs, environmental planners…","state":"published","title":"National Focal Centre (NFC) for Modelling and Mapping of Exceedances of Critical Loads and Critical Levels","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of ECN is to detect and determine the causes and consequences of environmental change.  To achieve this, ECN provides a network of field sites in semi-natural and agricultural locations around the UK, each site instrumented to enable physical, chemical and biological measurements.  ECN sites are also used for short-term field experiments.  ECN provides data for wider UK and international networks, for example making important contributions to the assessment of biodiversity trends at UK, European and global scales.","documentType":"infrastructurerecord","identifier":"826ce25a-1412-403d-a2fc-40cdb8a6feb6","incomingCitationCount":0,"infrastructureCapabilities":"ECN uses common measurement protocols to quantify how the physical, chemical and biological status of ecosystems is responding to a variety of long-term stressors.  Some measurements are unique to ECN - eg intensive soil surveys and soil solution monitoring.  Sites are protected from short-term disturbance to maximise signal-to-noise ratios in environmental data.  All measurements are taken in close proximity to allow: direct association between potential drivers and responses; identification of previously un-recognised relationships; testing of modelling assumptions; calibration of new models.","infrastructureCategory":["Instrumented sites"],"infrastructureChallenge":["Pollution","Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Environmental observatories"],"infrastructureScale":"UK","metadataDate":"2025-04-09T09:24:17.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/a9259f3c-53c6-48be-8964-09b512074eac","https://catalogue.ceh.ac.uk/id/826ce25a-1412-403d-a2fc-40cdb8a6feb6"],"resourceType":"Science infrastructure","scienceArea":"Water Resources","shortenedDescription":"The purpose of ECN is to detect and determine the causes and consequences of environmental change.  To achieve this, ECN provides a network of field sites in semi-natural and agricultural locations around the UK, each site instrumented to enable physical, chemical and…","state":"published","title":"UK Environmental Change Network (ECN)","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the Atmospheric Analysis Facility for Greenhouse Gases (GHGs) is to analyse air samples to measure concentrations and fluxes of greenhouse gases (CO2, CH4 and N2O, including stable isotopes), usually to quantify GHG emission from soils, ecosystems and water bodies.","documentType":"infrastructurerecord","identifier":"876eb47c-ecf5-4760-be45-491a359e0628","incomingCitationCount":0,"infrastructureCapabilities":"The Atmospheric Analysis Facility for GHGs is equipped to analyse air samples to measure concentrations and fluxes of greenhouse gases (CO2, CH4 and N2O, including stable isotopes).  Analytical capability includes the analysis of vials via headspace autosampler and GC-FID for CH4 and CO2, and GC-ECD for N2O. \n","infrastructureCategory":["Analysis labs"],"infrastructureChallenge":["Climate change: mitigation"],"infrastructureClass":["Analytical facilities"],"metadataDate":"2025-04-09T09:24:17.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/09b028fa-670a-4421-bdd2-c22479f5cde2","https://catalogue.ceh.ac.uk/id/876eb47c-ecf5-4760-be45-491a359e0628"],"resourceType":"Science infrastructure","scienceArea":"Atmospheric Chemistry and Effects","shortenedDescription":"The purpose of the Atmospheric Analysis Facility for Greenhouse Gases (GHGs) is to analyse air samples to measure concentrations and fluxes of greenhouse gases (CO2, CH4 and N2O, including stable isotopes), usually to quantify GHG emission from soils, ecosystems and…","state":"published","title":"Atmospheric Analysis Facility : Greenhouse Gases","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The UKCEH Soil Bank is UKCEH’s facility for storing and analysing soil samples from nationally important surveys and experiments. It contains soils from across England, Scotland and Wales, as well as samples from key global studies, with the majority of samples linked to an array of existing soil, vegetation, habitat and climate data.\n\nSoils are a living ecosystem involving a complex mix of minerals, decaying and stabilised organic matter and a diverse biota of microbes and microfauna. The UKCEH Soil Bank comprises both air-dried soil samples, typically used to analyse key soil properties, and frozen core samples, which can be used for DNA-based biodiversity analyses.","documentType":"infrastructurerecord","identifier":"d5a7b276-3fbc-4d12-b816-0f74a4692a33","incomingCitationCount":0,"infrastructureCapabilities":"The Soil Bank houses air-dried and frozen soil samples, and is equipped with: extensive roller-racking shelving for air-dried soil samples (currently ~8000 samples); two walk-in freezer rooms, one with roller-racking, both maintained at -20 degrees (currently ~7000 frozen cores). This is coupled with laboratory facilities for processing and analyses.","infrastructureCategory":["Discovery collections"],"infrastructureChallenge":["Pollution","Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Environmental observatories"],"infrastructureScale":"UK","locations":["POINT(-2.78296 54.01318)"],"metadataDate":"2025-04-09T09:24:37.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/a6dd2981-e815-4bbd-9737-492c7bc3511e","https://catalogue.ceh.ac.uk/id/d5a7b276-3fbc-4d12-b816-0f74a4692a33"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"The UKCEH Soil Bank is UKCEH’s facility for storing and analysing soil samples from nationally important surveys and experiments. It contains soils from across England, Scotland and Wales, as well as samples from key global studies, with the majority of samples linked…","state":"published","title":"UKCEH Soil Bank","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the UK Reconstructed Flow Data Explorer is to allow users to explore the reconstructed flow data produced for the Historic Droughts Project.   It aims to develop a cross-disciplinary understanding of past drought episodes that have affected the UK, with a view to developing improved tools for managing droughts in future.","documentType":"infrastructurerecord","identifier":"d2f541e1-d3db-4ab1-90a5-d701969cd5c6","incomingCitationCount":0,"infrastructureCapabilities":"The UK Reconstructed Flow Data Explorer is a web-based data explorer providing maps and graphs of  flow simulations for 303 UK catchments from 1891 to 2015, and were produced using the GR4J hydrological model.","infrastructureCategory":["Environmental data and information"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:47.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d2f541e1-d3db-4ab1-90a5-d701969cd5c6"],"resourceType":"Science infrastructure","scienceArea":"Water Resources","shortenedDescription":"The purpose of the UK Reconstructed Flow Data Explorer is to allow users to explore the reconstructed flow data produced for the Historic Droughts Project.   It aims to develop a cross-disciplinary understanding of past drought episodes that have affected the UK, with…","state":"published","title":"UK Reconstructed Flow Data Explorer","version":1.0,"view":["public","naj"]},{"catalogue":"infrastructure","description":"The WHAM family of models predict the forms of metals present in soil and water.  They simulate chemical reactions that occur when metals enter soil and water systems; particularly how metals bind to humic substances, the most dominant form of non-living organic matter in terrestrial and aquatic environments.  The models are used for environmental risk assessment: (1) to understand the behaviour of metals in soil and water, and what controls their solubility; and (2) to predict how metal chemistry influences their toxicity to living organisms in soil and water.","documentType":"infrastructurerecord","identifier":"d3dcfcbd-e541-4fb5-99c7-2ffd27a7787c","incomingCitationCount":0,"infrastructureCapabilities":"WHAM is a mechanistic chemistry process model.  Given the chemical composition of a water or soil, WHAM predicts the amounts of each chemical species of metals present.  Metal speciation controls fate in the environment, for example the distribution of a metal between solids and porewater in a soil or sediment.  Hence WHAM includes a solution speciation model as well as sub-models for ion binding to: humic and fulvic acids; clay; oxides of iron, aluminium, manganese and silicon.\n\nThe WHAM-FTOX version predicts the toxic effects of mixtures of metals and acidity in freshwaters.\n\nPOSSMs computes a simplified distribution of metal forms in soil using a minimal input dataset, making it useful for application where the relatively large data requirements of WHAM cannot be met (eg large scale soil surveys).\n\nWHAM is also used as the chemical component in other models that predict how water chemistry affects the toxicity of metals to aquatic organisms, such as the freely available Biotic Ligand Model (BLM): such models are widely used for research and metal risk assessment.","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:37.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d3dcfcbd-e541-4fb5-99c7-2ffd27a7787c"],"resourceType":"Science infrastructure","scienceArea":"Pollution","shortenedDescription":"The WHAM family of models predict the forms of metals present in soil and water.  They simulate chemical reactions that occur when metals enter soil and water systems; particularly how metals bind to humic substances, the most dominant form of non-living organic matter…","state":"published","title":"Windermere Humic Aqueous Model (WHAM) including WHAM Freshwater Toxicity (WHAM-FTOX) version and Parsimonious Speciation of Metals in soils (POSSMs)","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The UniFHy modelling framework is used by researchers to link together three components of the terrestrial water cycle: above ground; below ground; and river flows.  It simulates the whole water cycle while allowing each component to be represented using different hydrological models with varied temporal and spatial resolutions.","documentType":"infrastructurerecord","identifier":"7e04109d-ef9d-409c-9509-874ea17d21f0","incomingCitationCount":0,"infrastructureCapabilities":"UniFHy is open source community software that couples different hydrological models.  The framework, currently in development, allows collaborators to commit model components written in Python, Fortran, C and C++.  By using a modular design it allows each user to focus on their area of expertise while still modelling the whole terrestrial water cycle.  The framework allows each model component to represent its processes using different spatial and temporal resolutions.  The framework is designed to be extendable, allowing additional functionality to be added in the future.","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Climate change: adaptation"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:46.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7e04109d-ef9d-409c-9509-874ea17d21f0"],"resourceType":"Science infrastructure","scienceArea":"Hydro-climate Risks","shortenedDescription":"The UniFHy modelling framework is used by researchers to link together three components of the terrestrial water cycle: above ground; below ground; and river flows.  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","documentType":"infrastructurerecord","identifier":"a8de9857-db94-43f7-a41b-b74dc6e8608a","incomingCitationCount":0,"infrastructureCapabilities":"PROSUM is a dynamic process model that predicts nutrient uptake, net primary productivity and litterfall at monthly timesteps for a range of European natural and semi-natural ecosystems (including woodland, arable, heathland etc).  It is based on law-of-the-minimum except that: (a) plants can store excess nutrients up to a stoichiometric limit (luxury uptake); and (b) rather than only modelling nutrient availability, nutrient acquisition is specifically modelled on the basis of soil exploration by roots and mycorrhizae.  PROSUM uses the CSMP design pattern to allow easy integration with other dynamic models, and it uses modern Fortran's matrix-algebra capabilities to streamline the code and speed up execution.","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:27.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a8de9857-db94-43f7-a41b-b74dc6e8608a"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"PROSUM predicts the effects of water and nutrient (nitrogen, phosphorus, potassium) availabilities, and of land management, on vegetation growth, biomass and litter production.  It is used by researchers to explore effects of environmental change on plant growth, crop…","state":"published","title":"PROductivity and SUccession Model (PROSUM)","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The NanoFASE model predicts the fate and bio-uptake, across space and time, of nanomaterials entering soils, freshwaters, estuaries and waterbed sediments.  It is used to assess pollution risk from nanomaterials entering the environment.","documentType":"infrastructurerecord","identifier":"f5894002-6811-4c52-b55c-2393d6fd66a9","incomingCitationCount":0,"infrastructureCapabilities":"NanoFASE is a water-soil-organism model that predicts the concentration, fate and bio-uptake of nanomaterials entering the soil and aquatic environments across space (up to whole catchments) and time (years to decades, with approx daily timesteps).  It combines empirical data with process-based understanding and works by coupling submodels for environmental compartments (soils, rivers, bed sediments, lakes, estuaries and the sea) then simulating the transport of nanomaterials between these compartments.  The model takes account of the fact that, within each compartment, nanomaterials can transform between different forms and states, and be taken up by the biota present, through processes such as soil erosion, bioturbation, hydrology, sediment dynamics, physical and chemical reactions of nanomaterials (including heteraggregation), dissolution and chemical transformation.  The NanoFASE model must be coupled to a source of data on nanomaterial releases (inputs) either to soils or directly into surface waters.  The model can also be coupled to an atmospheric deposition model to simulate the fate of nanomaterials which were emitted to the atmosphere and subsequently deposited to the land or water surface.","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-04T11:49:19.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f5894002-6811-4c52-b55c-2393d6fd66a9"],"resourceType":"Science infrastructure","scienceArea":"Pollution","shortenedDescription":"The NanoFASE model predicts the fate and bio-uptake, across space and time, of nanomaterials entering soils, freshwaters, estuaries and waterbed sediments.  It is used to assess pollution risk from nanomaterials entering the environment.","state":"published","title":"Nanomaterial Fate and Speciation in the Environment (NanoFASE)","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the UKCEH Water Labs at Edinburgh and Lancaster is to analyse water samples for a range of chemicals and freshwater biota.","documentType":"infrastructurerecord","identifier":"d58d435f-5e37-4aaa-92cd-43880acb70dc","incomingCitationCount":0,"infrastructureCapabilities":"UKCEH Water Labs are equipped for high quality chemical analysis of water samples (including nutrient concentrations, pH, alkalinity, conductivity and chlorophyll a concentrations) plus microscopy facilities suitable for plankton analysis.","infrastructureCategory":["Analysis labs"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Analytical facilities"],"metadataDate":"2025-04-09T09:24:56.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/b8a5329e-77f8-4fcc-bcf3-4d6044469579","https://catalogue.ceh.ac.uk/id/d58d435f-5e37-4aaa-92cd-43880acb70dc"],"resourceType":"Science infrastructure","scienceArea":"Water Resources","shortenedDescription":"The purpose of the UKCEH Water Labs at Edinburgh and Lancaster is to analyse water samples for a range of chemicals and freshwater biota.","state":"published","title":"Water Laboratories","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"The purpose of the Molecular Biology Laboratories is to perform genetic analysis to identify and understand species, communities and ecological interactions - including microbial functional processes - in freshwater and terrestrial habitats.  The labs provide continuity of analyses to UKCEH's long term-projects, advice to colleagues and training and support to PhD students.","documentType":"infrastructurerecord","identifier":"1f9348fa-260a-4691-83bc-04264766c78c","incomingCitationCount":0,"infrastructureCapabilities":"The Molecular Biology Labs host a team of dedicated laboratory and data analysts who perform DNA sequencing and associated cell and ecosystem function methodologies.  We conduct high-throughput DNA sequencing and computational analysis on a range of different matrices, including water, soils, animals, animal products and plants.  Our laboratories are equipped for: (1) DNA extraction; (2) DNA amplification and quantification (in a dedicated clean PCR laboratory); (3) DNA sequencing; (4) Cellular analysis using flow cytometry and flow cytometric cell sorting; (5) Analysis of microbial function using extracellular enzyme assays and respirometry; and (6) Microbiology culturing in Class II laboratories.  Genomic data analysis is performed on in-house bioinformatic data servers.","infrastructureCategory":["Analysis labs"],"infrastructureChallenge":["Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Analytical facilities"],"metadataDate":"2025-04-09T09:24:49.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/fbb77e0f-aded-4a91-9524-cd392ace5f70","https://catalogue.ceh.ac.uk/id/1f9348fa-260a-4691-83bc-04264766c78c"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"The purpose of the Molecular Biology Laboratories is to perform genetic analysis to identify and understand species, communities and ecological interactions - including microbial functional processes - in freshwater and terrestrial habitats.  The labs provide continuity…","state":"published","title":"Molecular Biology Laboratories","version":1.0,"view":["public","phtr"]},{"catalogue":"infrastructure","description":"City Explorer Toolkit predicts the benefits of different green and blue spaces, such as parks and ponds, in urban settings.  It allows planners to to develop sustainable cities by quantifying the benefits of green and blue infrastructure (such as cooling on a hot day, improved air quality, and noise reduction) anywhere in a city to ensure they are received by the people who need them most.","documentType":"infrastructurerecord","identifier":"7a548ac4-06bd-4e4f-9e6a-6d921315747d","incomingCitationCount":0,"infrastructureCapabilities":"City Explorer Toolkit is an interactive, GIS-based decision-support tool.  It dynamically calculates a range of benefits for city residents provided by existing or planned green infrastructures.  It incorporates modules that can currently calculate: air pollution removal; hot-day cooling; and surface flood risk; with more modules are in development. ","infrastructureCategory":["Environmental models"],"infrastructureChallenge":["Sustainable ecosystems: biodiversity net gain"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-09T09:24:17.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7a548ac4-06bd-4e4f-9e6a-6d921315747d"],"resourceType":"Science infrastructure","scienceArea":"Soils and Land Use","shortenedDescription":"City Explorer Toolkit predicts the benefits of different green and blue spaces, such as parks and ponds, in urban settings.  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Understanding how inland freshwater lakes work is important because they provide us with ecosystem services such as water supply, flood regulation, fishing and tourism, as well as supporting our health and wellbeing.","documentType":"infrastructurerecord","identifier":"e99f9531-3d46-46fd-9bda-6e7900d4c07b","incomingCitationCount":0,"infrastructureCapabilities":"The Aquatic Mesocosm Facility comprises 32 outdoor tanks, each 2m diameter and 1m deep (holding around 3000 litres of water exposed to air at the water surface) in which shallow lake ecosystems can be established.  Each tank is equipped to enable controlled experimental manipulations, for example: heating elements to increase water temperature; mixers to disrupt thermal stratification; external raw (filtered reservoir water) water supply to flush the tanks.  Each tank is also equipped with automatic sensors to measure water temperature, dissolved oxygen and solar radiation.  A weather station on site tracks air temperature, rainfall, wind speed and direction.  All data are automatically logged and transmitted to UKCEH to keep track of the experimental conditions and outcomes.  A simple laboratory on site is available for storage, working space and sample preparation.","infrastructureCategory":["Controlled environment platforms"],"infrastructureChallenge":["Pollution","Climate change: mitigation"],"infrastructureClass":["Environmental experiment platforms"],"infrastructureScale":"Area, city, farm, habitat","locations":["POINT(-2.77711 54.01367)"],"metadataDate":"2025-09-03T09:54:44.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/5350fe8b-d7c2-4310-829c-928ac1e5bc4c","https://catalogue.ceh.ac.uk/id/e99f9531-3d46-46fd-9bda-6e7900d4c07b"],"resourceType":"Science infrastructure","scienceArea":"Water Resources","shortenedDescription":"The purpose of the UKCEH Aquatic Mesocosm Facility (CAMF) is to enable controlled experimental studies of simulated shallow lake ecosystems.  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