AndreaBozzo/ceres-open-data-index huggingface dataset:
Land use maps under the trend, expansion, sustainability, and conservation scenarios in 2030 in the Luanhe River Basin, China by using the CLUMondo Model

Dataset contains the Land Use/Land Cover (LULC) map under four scenarios (Trend, Expansion, Sustainability, and Conservation) in 2030 in the Luanhe River Basin (LRB), China, with a resolution of 1km. The scenarios were based on different socio-economic development and environmental protection targets, local plans and policies, and the information from a stakeholders’ workshop, to explore land system evolution trajectories of the LRB and major challenges that the river basin may face in the future. The map includes nine different land use classes: 1) Extensive cropland, 2) Medium intensive cropland, 3) Intensive cropland, 4) Forest, 5) Grassland with low livestock, 6) Grassland with high livestock, 7) Water, 8) Built-up area and 9) Unused land. The land system classification is based on three main classification factors: (1) land use and cover, (2) livestock, and (3) agricultural intensity. The data was funded by UK Research and Innovation (UKRI) through the Natural Environment Research Council’s (NERC) Towards a Sustainable Earth (TaSE) programme, for the project "River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scales" (Grant no. NE/S012427/1) . Full details about this dataset can be found at https://doi.org/10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952

Tags: CLUMondo, China, Cropland, Luanhe River Basin, Towards a Sustainable Earth (TaSE)
Organization: Environmental Information Data Centre
Annual Forest Loss at 15m resolution in the Corridor Ankeniheny-Zahamena (CAZ), Madagascar, 2006-2014

The dataset delineates annual forest loss in the CAZ digitized from annual 15 metre resolution LANDSAT imagery. This dataset creates a baseline for possible long-term, near real-time monitoring of encroachment and illegal logging within the Ankeniheny-Zahamena Corridor (CAZ), Madagascar. This analysis includes a summary of suspected encroachment and illegal logging from June 2006 to December 2010 within the "protected area," which consists of zones such as priority for conservation, sustainable use, and controlled settlements. Full details about this dataset can be found at https://doi.org/10.5285/c63c543f-3e95-4c1c-8c69-12f942271813

Tags: forest clearing, protected area
Organization: Environmental Information Data Centre
ITE Land Classification of Great Britain 1998

The Land Classification 1998 is a classification of Great Britain into a set of 40 environmental strata, termed land classes, to be used as a basis for ecological survey, originally developed by the Institute of Terrestrial Ecology (ITE) in the late 1970s and building upon a previous 1990 version. The strata were created from the multivariate analysis of 75 environmental variables, including climatic data, topographic data, human geographical features and geology data. The Land Classification can be used to stratify a wide range of ecological and biogeographical surveys to improve the efficiency of collection, analysis and presentation of information derived from a sample. The Land Classification 1998 provided stratification for the Countryside Survey of Great Britain 2000 and was adjusted from the 1990 version as a consequence of needing to provide National Estimates for habitats for Scotland from Countryside Survey 2000 in addition to GB as a whole. The dataset was later modified in 2007 during Countryside Survey 2007. Both the 1990 version and the 2007 version are also available. Full details about this dataset can be found at https://doi.org/10.5285/971671a6-98b4-4d80-b165-21dace7373b9

Tags: Bio-geographical Regions, Great Britain
Organization: Environmental Information Data Centre
UK Environmental Change Network (ECN) Fine Grain Vegetation data: 1994-2012

[THIS DATASET HAS BEEN WITHDRAWN]. Fine Grain Vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). In this protocol, 10m x 10m plots are randomly selected within each vegetation type on the site - species presence is recorded in 40cm x 40 cm cells randomly selected within these plots. They represent continuous records every three years (some sites record data annually) from 1992 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/5a1efdfc-8f51-4ee9-9ed4-677bddd3f135

Tags: Alice Holt, Drayton, Environmental Change Network, Environmental Monitoring Facilities, Glensaugh, Hillsborough, ILTER, LTER, Moor House - Upper Teesdale, North Wyke, Rothamsted, Sourhope, Wytham, Yr Wyddfa - Snowdon, semi-natural and managed vegetation, vegetation species
Organization: Environmental Information Data Centre
The geochemical composition and stratigraphic position of 44 tephra layers in southern Iceland

The dataset comprises two elements: 1) logs of nine sedimentary profiles recorded in three locations in southern Iceland and 2) geochemical analyses of tephra samples taken from these profiles. The three locations were Heimaey (V), an island in the Vestmannaeyjar archipelago (four profiles); Seljaland (S) in southern Iceland (two profiles), and Húshólmi (H) on the Reykjanes peninsula (three profiles). All three locations are associated with the earliest phases of the settlement of Iceland by the Norse in the ninth century CE. The datasets were collected to establish a tephrochronological framework for the three sites. The logs are based on field observations made by Prof. Andrew Dugmore (University of Edinburgh) and Dr Richard Streeter (University of St Andrews) in June 2023. The geochemical analyses were carried out by Dr Streeter and conducted using an Electron Probe Micro Analyser (EPMA). Full details about this dataset can be found at https://doi.org/10.5285/dd570900-245c-4586-82b7-e548cbdc4ac5

Tags: Electron probe micro analyser, Landnám tephra layer, Soil, Tephra geochemistry
Organization: Environmental Information Data Centre
List of legacy waste deposits (including historical landfill sites) across England and Wales, ranked by environmental risk to the coastal environment under future climate scenarios

This dataset contains the output of a national-scale prioritisation exercise aimed at determining the risks posed by 30,310 legacy waste sites and historical landfill sites to the coastal environment of England and Wales. The analysis was repeated under three future coastal change scenarios (short-, medium-, and long-term), and is sortable based on the overall risk score for each climate scenario. Full details about this dataset can be found at https://doi.org/10.5285/2501589d-1a13-4e6e-a25b-b74993c5b758

Tags: Human Health and Safety, geochemistry
Organization: Environmental Information Data Centre
Tree trait, insect herbivore abundance and powdery mildew infection data (2016-17) from Forest Research Climate Matching Trials, UK

This data set comprises two years of data (2016 and 2017) from one trial (Hucking, Kent, UK) and one year (2017) from a second trial (Hartshorne, Derbyshire, UK). Data was collected on tree traits (tree height, shoot length, tree provenance), abundance of foliar insect herbivores (gallers, leaf manipulators and leaf miners) and leaf damage by oak powdery mildew, a foliar fungal pathogen. Data was collected from plots differing in tree diversity (provenance and species diversity). Full details about this dataset can be found at https://doi.org/10.5285/cbccb101-c877-4e43-ac70-e8a852b51f07

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Population dynamics of evolving bacterial populations in liquid media, 2020

This data was collected from co-evolving bacterial populations containing Pseudomonas fluorescens strain SBW25 and a plasmid, pQBR57. The composition of the community was tracked using flow cytometry to distinguish 1) an unlabelled wild type strain 2) a dTomato compensated host (SBW25 KO PFLU4242), and 3) a wild type host bearing a Green fluorescent protein (GFP) labelled compensated plasmid (pQBR57 KO 0059). Full details about this dataset can be found at https://doi.org/10.5285/51046841-deaa-422f-a303-2c0759f014b4

Tags: Environmental Monitoring Facilities, SBW25, co-evolution, pQBR57, plasmid compensation
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) total organic carbon in mudflat and saltmarsh habitats

The dataset details organic carbon content of sediments across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the organic carbon present within surface sediments (up to a depth of 2 cm). Three sites were located in Essex, South East England and the other 3 in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering 4 spatial scales. 3 replicate samples of surface sediment were collected at each quadrat. They were then processed for organic carbon content using the Loss on Ignition method (detailed below) Values are expressed as a percentage of the total sample collected. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/d4e9f0f7-637a-4aa4-b9df-2a4ca5bfaded

Tags: BESS, CBESS, Habitats and Biotopes, spatial scale
Organization: Environmental Information Data Centre
Taxonomic data, brain, and neuropil volume measurements of Ithomiini butterflies, Orellana Province, Ecuador, 2011-2012

This dataset presents taxonomic data, and neuropil volume measurements of sensory structures in the brains of wild caught ithomiini butterflies (Lepidoptera, Nymphalidae, Danainae), within a single community in Yasuní national park, Orellana Province, Ecuador, collected in 2011-2012. Variables measured include taxonomic detail, sex, mimicry ring, and the volumes of major sensory neuropils (the medulla, lobula plate, lobula, ventral lobula, accessory medulla, antennal lobe and anterior optic tubercule) and the central brain volume. This dataset was created to examine how sensory environments shape investment in sensory brain centers in butterflies, as part of a NERC Independent Research Fellowship NE/N014936/1. Full details about this dataset can be found at https://doi.org/10.5285/8056bba1-8370-4d2b-b537-018c79c8acb0

Tags: Lepidoptera, Species Distribution, brain volume, ithomiini, neuropil, optic lobe
Organization: Environmental Information Data Centre
Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2012) [CHESS-met]

[THIS DATASET HAS BEEN WITHDRAWN]. 1km resolution gridded meteorological variables over Great Britain for the years 1961-2012. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-1) and air pressure (Pa), plus daily temperature range (K). These are the variables required to run the JULES land surface model [1] with daily disaggregation. The precipitation data were obtained by scaling the Gridded estimates of daily and monthly areal rainfall (CEH-GEAR) daily rainfall estimates [2,3] to the units required for JULES input. Other variables were interpolated from coarser resolution datasets, taking into account topographic information. [1] Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes, Geoscientific Model Development, 4, 677-699, doi:10.5194/gmd-4-677-2011, 2011. [2] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre doi:10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e [3] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112, www.earth-syst-sci-data-discuss.net/8/83/2015/ doi:10.5194/essdd-8-83-2015. Full details about this dataset can be found at https://doi.org/10.5285/80887755-1426-4dab-a4a6-250919d5020c

Tags: Great Britain, Meteorological geographical features, air pressure, gridded data, longwave radiation, rainfall, shortwave radiation, specific humidity, wind speed
Organization: Environmental Information Data Centre
Soil characterisation data from UK riparian observatories and international observation sites, 2023-2024

This dataset contains soil physicochemical characterisation data collected from riparian observatories in the UK (Scotland and England) and complementary international observation sites in Germany and Sweden. Measurements include soil pH, organic carbon, total nitrogen, extractable phosphorus, major cations and anions, bulk density, and related parameters describing soil characterisations such a texture. The data provides insight into nutrient status and geochemical variability across riparian zones with differing land uses, vegetation, and climatic conditions. The accompanying metadata file details data table titles, analytical methods, limit of detection and units of measurement to facilitate reuse and interpretation. Soil samples were collected as part of the NERC-funded project "Accelerating Nutrient Cycles at the Riparian Land : Water Interface" (NE/V012460/1) investigating riparian zone biogeochemistry across temperate regions. Full details about this dataset can be found at https://doi.org/10.5285/4781c0ed-d5b4-41f7-bbfd-94a6a11a77b5

Tags: Environmental Monitoring Facilities, soil nutrients, soil physics
Organization: Environmental Information Data Centre
Malaysian tropical heath forest growth and chemistry after fertilisation, 2016-2018

The dataset consists of tree diameter at breast height (DBH) of all trees > 1 cm DBH in 16 parcels of 15 m x 15 m in the tropical heath forest of the Kabili-Sepilok Forest Reserve (Sabah, Malaysia). Also included are the tropical heath forest trees’ leaf element concentration. Tree DBH has been measured three times, one before (2016) and two after (2017 and 2018) the experimental application of Nitrogen fertiliser and CaCO3 to the forest floor. The leaves were collected before (2016) and after (January 2017; July 2017; June 2018) the application of experimental nitrogen and CaCO3 fertilisation. The experimental setting consists of four replicate parcels for the control plots, four replicates for the Nitrogen treatment, four replicates for the CaCO3 treatment and four replicates the Nitrogen and CaCO3 treatments combined. Full details about this dataset can be found at https://doi.org/10.5285/d5ea9e2c-f053-4631-aead-a8a5557488c6

Tags:  White sand forest, Carbon storage, Heath forest, Kerangas, Leaf chemistry, Nitrogen fertilisation, Relative growth rate, Stoichiometry
Organization: Environmental Information Data Centre
Simulated 15-min discharge time-series and baseline simulations for the River Kent following a Natural Flood Management intervention of 'Enhanced Hillslope Storage', Sedgewick, October 2015 to January 2016

Simulated 15-min discharge time-series (1/10/2015-17/1/2016) for the River Kent at Sedgwick following a Natural Flood Management intervention of ‘Enhanced Hillslope Storage’ plus the baseline simulations are presented. To derive these data, the observed 15-minute discharge River Kent measured at the Environment Agency (EA) Sedgwick gauging station (https://nrfa.ceh.ac.uk/data/station/info/73005) through the 1 Oct 2015 to 17 Jan 2016 period were modelled using the latest version of Lancaster University’s Dynamic TOPMODEL (https://cran.r-project.org/web//packages/dynatop/index.html). The spatially distributed rainfall field used as input to TOPMODEL was derived from a new direction-dependent and topographically controlled interpolation using observed rainfall data for the Cumbrian Mountains (Page et al., 2022. Hydrological Processes 36: e14758, https://doi.org/10.1002/hyp.14758). Lack of perfect understanding of the hydrological processes routing rainfall for stream channels and then along stream channels to the Sedgwick gauge was represented by using a very wide range of model parameters applied randomly within 10,000 simulations. Using the approach detailed in Beven et al. (2022a. Hydrological Processes 36(10): e14703, https://doi.org/10.1002/hyp.14703), the resultant wide range of simulated discharge time-series was reduced by rejecting all but 67 simulations that passed the prescribed criteria. These 67 baseline simulations of observed behaviour through the +3 month period at Sedgwick are presented here. To represent the effect of adding surface storage distributed across this 209 sq km River Kent catchment, the Digital Elevation Model (DEM) used in the baseline simulations according to Hankin et al (2018. Technical report SC150005/R6. Environment Agency, Bristol. 77pp, https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/working-with-natural-processes-to-reduce-flood-risk) to represent bunds placed on hillslopes in rural areas. The bunds are a type of flood mitigation measure known as Natural Flood Management or NFM. These are known formally as ‘Enhanced Hillslope Storage’ or EHS features (Beven et al 2022b. Hydrological Processes 36: e14752, https://doi.org/10.1002/hyp.14752). The TOPMODEL parameter sets producing the 67 ‘acceptable’ baseline simulations were then re-run with the modified DEM. These results are also presented here. Full details about this dataset can be found at https://doi.org/10.5285/af081a90-b014-43f7-9399-c948a8b7672f

Tags: Cumbria, Dynamic TOPMODEL, Environmental Monitoring Facilities, Monte Carlo, NbS, Q-NFM, River Kent, condition tree, distributed model, hydrograph, natural flood management (NFM), parsimony, uncertainty
Organization: Environmental Information Data Centre
Calluna vulgaris root length and fungal colonisation data from the Climoor long-term climate change experiment in Clocaenog forest, UK (2015)

This dataset contains root length, biomass and fungal colonisation data for Calluna vulgaris from control, drought and warming treated soils from the long term climate change experiment in Clocaenog forest. Soil samples were collected from the climate change experiment in Northeast Wales during April 2015. Roots were separated from the soil, their length and biomass measured and then analysed using microscopy for Ericoid mycorrhizae (ErM) and dark septate endophyte (DSE) colonisation of Calluna vulgaris. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season (March to September). The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes and has been running since 1999. The root length and fungal colonisation data aims to understand how changes in soil hydrological and chemical properties have influenced Calluna vulgaris rooting behaviour and interactions with the soil microbiome. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/3d468857-f5d0-4dc4-88f3-6be6df19608b

Tags: Clocaenog, Environmental Monitoring Facilities, North Wales, UK-SCAPE, Warming, heather, ling
Organization: Environmental Information Data Centre
Field measurements of alkalinity, chloride-ion, conductivity, pH and nutrients in rivers (2003-2006) [LOCAR]

River water alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2003 and 2006. River water samples were collected fortnightly at twenty three sites within these catchments and analysed for Alkalinity pH 4.5, Ammonia, Chloride-ion, Conductivity 20 deg C, Nitrate, pH, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. The samples were collected as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline river water chemistry data across the LOCAR catchments. Full details about this dataset can be found at https://doi.org/10.5285/bb600a56-c9cf-4fca-b9be-be3de0039a79

Tags: Environmental Monitoring Facilities, LOCAR, Lowland Catchment Research Programme (LOCAR) , The Lowland Catchment Research Programme, pH, silicate
Organization: Environmental Information Data Centre
Visible leaf injury of Trifolium repens versus Lolium perenne after ozone exposure in solardomes

The dataset consists of proportions of ozone injured or senesced leaves from a study which investigated how the presence of competing species in a community affects these two common responses to ozone. Monocultures and mixtures of Trifolium repens and Lolium perenne were grown in large containers and were exposed in solardomes to either a rural episodic ozone profile (AOT40 (Accumulated Ozone Threshold exposure of 40 parts per billion) of 12.86 ppm h) or control conditions (AOT40 of 0.02 ppm h) for 12 weeks. The proportion of ozone-injured or senesced leaves was determined in different regions of the canopy, the upper canopy (>14cm high), the canopy edge and the inner canopy, by separating injured/senesced leaves from healthy leaves. The experiment was carried out at the CEH Bangor Air Pollution Facility. This work was funded by the Centre for Ecology & Hydrology Integrating Fund Initiative Full details about this dataset can be found at https://doi.org/10.5285/bc4d0325-b67b-4fff-a14b-6e06edf397bd

Tags: Atmospheric Conditions, Perennial Ryegrass, clover, plant canopy, senescence, solar domes, solardome
Organization: Environmental Information Data Centre