AndreaBozzo/ceres-open-data-index huggingface dataset:
Mark-Release-Recapture data showing moth and dung beetle movements in riparian reserves within the SAFE project landscape, Malaysian Borneo, 2016-17

This dataset consists of moth and dung beetle recapture, movement, and trait data from a mark-release-recapture experiment conducted within riparian forest reserves, in an oil palm landscape in Sabah, Malaysian Borneo conducted as part of the SAFE project (Stability of Altered Forest Ecosystems). This resource includes information regarding the recapture frequency and movement behaviour of both moths and dung beetles with respect to three habitat types: riparian forest reserve, continuous forest, and oil palm plantation. These data were collected to assess the extent in which moths and dung beetles use riparian forest reserves, relative to the oil palm plantations, as movement corridors between continuous forest. Data was collected between 2016 and 2017, as part of the Land use Options of Maintaining BiOdiversity and eKosystem functions project (LOMBOK), a part of the Human Modified Tropical Forests Programme (HMTF) Full details about this dataset can be found at https://doi.org/10.5285/4ca7f1ff-7bc4-4077-bc9c-96be1be3e655

Tags: Hypoprya, Onthophagus mulleri, Proagoderus watanebei, Stability of Altered Forest Ecosystems (SAFE)
Organization: Environmental Information Data Centre
Topsoil pH estimates from the Countryside Survey of Great Britain, 2007 using a generalized additive model

This dataset presents modelled estimates of soil pH at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil pH data from 2007 and including climate, atmospheric deposition, habitat, soil and spatial predictors. The model is based on soil pH data from 2446 locations across Great Britain and is representative of 0-15 cm soil depth. Soil pH was measured using 10g of field moist soil with 25ml de-ionised water giving a ratio of soil to water of 1:2.5 by weight. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK. 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/10.5285/4b0e364d-61e6-48fb-8973-5eb18fb454cd

Tags: Broad Habitat, Countryside Survey, Parent Material Model, Soil, UK-SCAPE
Organization: Environmental Information Data Centre
Rural smallholder agricultural field management surveys across Mozambique

This dataset comprises 259 smallholder agricultural field surveys collected from twenty-six villages across three Districts in Mozambique, Africa. Surveys were conducted in ten fields in each of six 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. Fields were selected based on their age, location, and status as an active field at the time of the survey (i.e. no fallow fields were sampled). Structured interviews using questionnaires were conducted with each farmer to obtain information about current management practices (e.g. use of inputs, tilling, fire and residue management), age of the field, crops planted, crop yields, fallow cycles, floods, erosion and other problems such as crop pests and wild animals. The survey also includes qualitative observations about the fields at the time of the interview, including standing live trees and cropping systems. 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. Full details about this dataset can be found at https://doi.org/10.5285/78c5dcee-61c1-44be-9c47-8e9e2d03cb63

Tags: crops, smallholder
Organization: Environmental Information Data Centre
Grass productivity data from a field site in the Conwy Valley (2016)

Data are presented showing grass productivity as grammes per 100 square centimetres under four different nutrient treatments (water, nitrogen, phosphorus and nitrogen & phosphorus combined). An experimental hillslope in the Conwy catchment was selected in August 2016. Three transects, were identified across the hillslope. Along each transect, a 1 x 1 square metre quadrat was used to delineate randomly selected sampling areas. Within each quadrat 5 individual 10 x 10 x 10 centimetre (cm) swards were collected using a spade and transported to the laboratory in Bangor University for the nutrient addition. Three different harvests at different stages (initial cut, first harvest, second harvest) were conducted in order to measure grass productivity. Harvest included removal of all vegetation within the quadrat down to approximately 1 cm in height. The data were collected to identify the nutrient limitations within the hillslope by trained members of staff from Bangor University and the Centre for Ecology & Hydrology. The data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf. Full details about this dataset can be found at https://doi.org/10.5285/6e395915-ab5c-43f4-b4de-c9a3c5c1b956

Tags: Conwy catchment, Environmental Monitoring Facilities, MCP, Macronutrient Cycling Programme, Nitrogen application, North Wales, Phosphorus application, Sward, T2S, Turf2Surf
Organization: Environmental Information Data Centre
Ecosystem functions and vegetation data for Winklebury Hill, Salisbury Plain, UK 2016

This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. Net ecosystem carbon dioxide exchange, photosynthesis and respiration data were measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data were measured using gas chromatography; nitrate and ammonium from soil samples extracted with potassium chloride; carbon and nitrogen from soils extracted with water; and carbon and nitrogen stocks measured through combustion analysis. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2016 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide. Full details about this dataset can be found at https://doi.org/10.5285/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6

Tags: Environmental Monitoring Facilities, PAR, Wessex BESS, ecosystem respiration, net ecosystem CO2 exchange, nitrous oxide
Organization: Environmental Information Data Centre
Modelled arable area for Great Britain under different climate and policy scenarios

The dataset contains model output from an agricultural land use model at kilometre scale resolution over Great Britain (GB) for four different climate and policy scenarios. Specifically, arable area is modelled for with or without a climate tipping point (standard (medium emissions scenario SRES-A1B) climate change vs Atlantic Meridional Overturning Circulation (AMOC) collapse) and with or without widespread irrigation use for farmers from 2000 to 2089. Full details about this dataset can be found at https://doi.org/10.5285/e1c1dbcf-2f37-429b-af19-a730f98600f6

Tags: Land Use, tipping point
Organization: Environmental Information Data Centre
Carbon and nutrient data for streams in the Peruvian Amazon

Data from two small streams, two rivers and rainfall fractions in the Western Amazonian basin at Tambopata National Reserve in Madre de Dios region, Peru. Data presented are nutrients (calcium, magnesium, potassium, sodium, total soluble phosphorus and silica) and fluvial carbon - dissolved inorganic carbon (DIC) and its isotopic composition δ13C-DIC, dissolved organic carbon (DOC) and particulate organic carbon (POC). Samples were collected during the period from February 2011 to May 2012 targeting both wet and dry seasons. Samples for DIC samples were collected using pre-acidified evacuated Exetainers. Established standard methods were used to take samples for DOC and nutrients. Established standard methods were used to analyse samples for DIC, DOC and nutrients These methods are outlined in the lineage. The samples were taken to understand the hydrological controls on the carbon concentrations and fluxes during different flow conditions. The data collection was carried out as part of the Natural Environment Research Council funded Amazonica project. Full details about this dataset can be found at https://doi.org/10.5285/ee1b9eb7-6fbd-4dd5-8f8f-e07d32c057e4

Tags: Amazon, Amazonia, Atomic Absorption Spectrometry (Perkin Elmer Analy, DIC, DOC, Dissolved inorganic carbon, POC, Thermalox TOC 2020, Thermo-Fisher-Scientific Gas Bench/Delta V Plus, dissolved organic carbon, nutrients, particulate organic carbon
Organization: Environmental Information Data Centre
Global ammonia emissions from seabirds

The dataset contains three modelled estimates of global ammonia emissions from seabird colonies, at a spatial resolution of 0.1 degrees latitude/longitude. The model estimates were derived with a) detailed global seabird population data collated from a large number of sources (data sources date from 1980-2010 for different parts of the world) b) climate data (source: High-resolution Gridded Datasets, Climatic Research Unit, University of East Anglia, UK. http://www.cru.uea.ac.uk/cru/data/hrg/ last updated by Harris, I. (2007), date: 1995) c) emission model derived by Riddick et al. (2012) with funding for the project from the CEH Integrating Fund (NERC). A detailed description and discussion of the datasets, including methodology and uncertainties, can be found in the following peer-reviewed article: S. N. Riddick, U. Dragosits, T. D. Blackall, F. Daunt, S. Wanless and M. A. Sutton (2012) The global distribution of ammonia emissions from seabird colonies. Atmospheric Environment, 55 (2012), pp. 319-327 https://doi.org/10.1016/j.atmosenv.2012.02.052 Full details about this dataset can be found at https://doi.org/10.5285/c9e802b3-43c8-4b36-a3a3-8861d9da8ea9

Tags: Atmospheric Conditions, emission data, seabird
Organization: Environmental Information Data Centre
Vegetation plot data from the UKCEH Countryside Survey, Great Britain, 2020 and 2021

This dataset consists of plant species presence and abundance in different sizes of plots recorded from 159 1km squares across Great Britain in 2020 and 2021, as part of a rolling soil and vegetation monitoring program of 500 1km squares, beginning in 2019 and repeated every five years. The UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have previously been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to vegetation data, soil data are also gathered by the current phase of the Countryside Survey. 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/10.5285/48b52173-de8d-46c0-8e59-be3b819e234a

Tags: Environmental Monitoring Facilities, Great Britain, Pollinators, UK-SCAPE, ground flora, vascular plants
Organization: Environmental Information Data Centre
Impacts of chronic radiation exposure on reproduction, development and genetic diversity of the freshwater crustacean Asellus aquaticus at Chernobyl

This dataset contains morphological data from the isopod crustacean, Asellus aquaticus collected from Chernobyl affected areas of Belarus and Ukraine in 2015. This data was collected to calculate fluctuating asymmetry, a measure of developmental stability, in organisms along a gradient of radiation contamination. Five different morphological characters were measured and fluctuating asymmetry (right side minus left side) was calculated. Fluctuating asymmetry was calculated here as FA2: [|R-L|/(R+L)/2)] where R and L represent measurements in micrometres for right and left sides of the five morphological characters. Number of segments represents raw right minus left data for the number of antennal segments and is thus provided in a separate column. All data provided are means of two independent measurements. In addition, a measure of environmental factors and total dose rates are also provided in this dataset. Blank cells indicate where no data was available. Full details about this dataset can be found at https://doi.org/10.5285/47f036c4-e319-4825-9cb8-f27977eb20dd

Organization: Environmental Information Data Centre
High Carbon Stock stratification of the SAFE project site, Sabah, Malaysian Borneo, 2015 [HMTF]

This data set provides a spatial stratification of forest cover into discrete vegetation classes according to the High Carbon Stock (HCS) Approach. The data set covers the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo. Data were collected in 2015 during a project which was included in the NERC Human-modified tropical forest (HMTF) programme. Full details about this dataset can be found at https://doi.org/10.5285/81cad1ef-b5cc-4592-a71f-204a5d04b700

Tags: High Carbon Stock (HCS) Approach, Human-modified tropical forest programme (HMTF), REDD+, Stability of Altered Forest Ecosystems (SAFE), fragmentation, human-modified landscape , oil palm
Organization: Environmental Information Data Centre
Greenhouse gas emissions, nitrogen use efficiency and biomass from digestate experiments on winter wheat at North Wyke and Henfaes, UK (2017)

The data contains nitrogen (N) offtake, N emissions (ammonia and nitrous oxide), soil parameters (pH, EC, NH4+, NO3−), biomass and grain production from a winter wheat field experiment located at Bangor University (Henfaes Research Station in North Wales) and Rothamsted Research (North Wyke (NW) in Devon). Data were collected between April 2017 and August 2017. Measurements and soil and plant samples were taken from 45 plots in a randomized complete block design. Sixteen extra mini-plots at the prevailing wind (south westerly) edge of the experiment site were used at NW for NH3 volatilization measurements. The treatments were control (C, without N application), food based digestate (D), food based digestate + the nitrification inhibitor 3,4-dimethylpyrazole (DMPP; D+NI), acidified food based digestate (AD), acidified food based digestate + the nitrification inhibitor 3,4-dimethylpyrazole (DMPP; AD+NI). Four rates of ammonium nitrate (NH4NO3; 75, 150, 225 and 300 kg N ha−1) were applied to compare yields and fertilizer replacement rate of the digestate treatments (targeted at 190 kg N ha−1). Soil pH, soil electrical conductivity (EC), soil NH4+ and soil NO3−, NH3 volatilization, N2O emissions were measured periodically for C, D, D+NI, AD and AD+NI and nitrogen concentration in grain and straw, grain yield and plant biomass for all treatments. Nitrogen offtake, losses and fluxes were used to determine the N use efficiency (NUE) and fertilizer replacement rate of the digestate treatments. Measurements were undertaken by members of staff from Bangor University, School of Environment, Natural Resources & Geography and Rothamsted Research, Sustainable Agricultural Sciences – North Wyke. Data was collected for the Newton Fund project “UK-China Virtual Joint Centre for Improved Nitrogen Agronomy”. Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC - Ref BB/N013468/1 Full details about this dataset can be found at https://doi.org/10.5285/836dfb2e-bc6f-47d2-b924-8261be671391

Tags: CENTRE FOR IMPROVED NITROGEN AGRONOMY, CINAg, Environmental Monitoring Facilities, Nitrogen use efficiency (NUE), digestate, nitrification inhibitor, winter wheat
Organization: Environmental Information Data Centre
Lake and catchment nutrient, ecology and hydrology monitoring of Rostherne Mere, Cheshire, UK (2016-2017)

This dataset includes catchment stream inflow and outflow rates, secchi depth, chlorophyll, phytoplankton counts and nutrient concentrations for the lake, inflow, outflow and groundwater spring. The measurements are from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between the catchment hydrology and in-lake nutrient loads for assessment of the current catchment nutrient budget. The monitoring study covered a period from January 2016 to January 2017. All data is presented with date, flow rate, nutrient and chlorophyll concentrations and phytoplankton species abundance. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1]. Full details about this dataset can be found at https://doi.org/10.5285/5c6b2bcb-6b10-4c57-a595-ce94a655e709

Tags: Environmental Monitoring Facilities, Flow rate, Rostherne Mere
Organization: Environmental Information Data Centre
Meteorology, soil physics, and eddy covariance measurements of carbon dioxide, energy and water exchange from a distributed network of sites across England and Wales, 2023-2024

This dataset contains time series observations of land surface-atmosphere exchanges of sensible heat (H) and latent heat fluxes (LE), together with supporting meteorological and soil physics data obtained at six eddy covariance (EC) flux tower monitoring sites located across England and Wales. The flux monitoring sites include three croplands (two on peat, one on mineral soils), one grassland on peat, one lowland fen under conservation management, and a relatively intact upland raised bog. Data collection started in January 2023 and ended in January 2024, except for one site in Wales which ended in December 2023. Vegetation data was also collected and consist of manual measurements of canopy height, leaf area index , and biomass. 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/b50e7291-b668-49bb-8226-f6371e707714

Tags: Soil, eddy covariance, soil hydrology
Organization: Environmental Information Data Centre
Historical (1950-2014) and projected (2015-2100) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP6 projected climate data

This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1 × 0.1 deg grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2014) and projected future (2015 to 2100) periods. This dataset is the output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The ensembles correspond to CMIP6 (Coupled Model Inter-comparison Project Phase 6) historical and three projected future climate scenarios (SSP126, SSP245 and SSP585) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project. Full details about this dataset can be found at https://doi.org/10.5285/346124fd-a0c6-490f-b5af-eaccbb26ab6b

Tags: Hydrography
Organization: Environmental Information Data Centre
Building, infrastructure, and river channel reaches in Chamoli district, India, following the ice-debris flow, February 2021

These data are GIS shapefiles which contain geospatial information describing the location and condition of bridges, buildings and roads in Chamoli District, Uttarakhand, India, following the 7th February 2021 avalanche and debris flow hazard cascade (the so-called ‘Chamoli event’). The dataset also contains a GIS shapefile which contains polygon outlines supporting geomorphological analysis of change in river valleys between the avalanche source and the town of Joshimath. The latter is designed to be used in conjunction with the other data resources contained in this data collection. Full details about this dataset can be found at https://doi.org/10.5285/a763e254-c249-4934-b0fb-c3b808b37db6

Tags: Debris flow, GIS, Geohazards, Landscape evolution
Organization: Environmental Information Data Centre
Soil water release curves and hydraulic conductivity measurements at four long-term grassland-to-woodland land use contrasts across England

This dataset contains soil water release curves and un-saturated hydraulic conductivity measurements from four long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each land use contrast was assigned one grassland and one woodland plot respectively. Each of the plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The four grassland-to-woodland contrasts were located across England and sampled once : Gisburn (Gisburn-1, Gisburn-2), Wytham Woods, and Kielder Forest. Soil water release curves were measured for topsoil (0-5 cm) using the HYPROP system (UMS, Munich, Germany). Soil water infiltration (unsaturated hydraulic conductivity) was measured during soil sampling campaigns. Soil hydraulic measurements in this dataset are collocated with aboveground biomass production estimates and litter layer depth measurements, soil physical, chemical and biological properties (0-1 m), and earthworm counts and identification. A file is provided to connect all co-located measurements. This project was part of the UK-SCAPE programme which started in 2018 and was funded by the Natural Environment Research Council as National Capability (award number NE/R016429/1). Full details about this dataset can be found at https://doi.org/10.5285/419af5cd-8adc-4400-9a28-d8e1d48b0bd7

Tags: HYPROP, SOC, SOC-D, Soil, UK-SCAPE, co-located measurements, soil hydrology, soil physics, topsoil, woodland
Organization: Environmental Information Data Centre