AndreaBozzo/ceres-open-data-index huggingface dataset:
Satellite-derived geomorphic river mobility for ten catchments in the Philippines, 1988-2019

This data set contains satellite-derived information on geomorphic river mobility for ten catchments in the Philippines. We applied the locational probability approach to map the proportion of time that a river channel occupies a particular location. We quantified satellite-derived locational probabilities for 600 km2 of riverbed. The information is useful for predicting and developing resilience to river-related hazards in dynamic landscapes. We provide example Google Earth Engine (GEE) and MATLAB codes to replicate satellite-derived locational probability analyses, and provide outputs for each catchment. Data sets include: (1) example GEE codes to run satellite imagery analyses; (2) example MATLAB codes and data to generate locational probabilities; (3) example MATLAB codes and data to produce longitudinal analyses; and, (4) processed locational probability outputs for the ten catchments. The work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312. Full details about this dataset can be found at https://doi.org/10.5285/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d

Tags: active river channel, geomorphic river mobility, locational probability
Organization: Environmental Information Data Centre
Monitoring data from small mammal trapping in forest or shrubland habitats in the USA (Idaho, Kansas, Ohio, Texas), 2018-2023

This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in forest or shrubland habitats of Idaho, Kansas, Ohio and Texas between 2018 and 2023. The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement. Full details about this dataset can be found at https://doi.org/10.5285/82b67a1c-489e-489c-9617-58ab0575ae61

Tags: Sherman traps, habitat corridors, live-trapping, opossum, woodland
Organization: Environmental Information Data Centre
Ecosystem services variables from the UK Environmental Change Network (ECN)

73 ecosystem services variables for 11 Environmental Change Network (ECN) sites throughout the UK mainland. The variables cover provisioning (food, fibre, fuel, genetic resources, biochemical and pharmaceuticals, ornamental), regulating (air quality regulation, climate regulation, water regulation, erosion, human diseases, biological control, pollination, natural hazard, other hazards) and cultural (cultural diversity) service types. The list of variables was agreed at an ECN site manager's workshop as representative of the high level categories defined by the Millennium Ecosystem Assessment. The variables were calculated from data from three sources (i) data collected for the ECN to standard ECN protocols, (ii) data obtained by site managers from a variety of other sources for their site and (iii) expert knowledge of site managers. The data were from a single year (usually 2009) or were averages of annual measurements. Established in 1992, the ECN is the UK's long-term environmental monitoring and research programme and makes regular measurements of air, soil, water and a range of animals and plants across a network of sites to determine how and why the natural environment is changing. The ECN is a multi-agency programme sponsored by a consortium of UK government departments and agencies. Full details about this dataset can be found at https://doi.org/10.5285/2c5f823d-0dca-4e66-b021-de3e81131979

Tags: Alice Holt, Cairngorm, Drayton, Glensaugh, Habitats and Biotopes, Moor House, North Wyke, Rothamsted, Snowdon, Sourhope
Organization: Environmental Information Data Centre
Water quality measurements and antimicrobial resistance in the Musi River, Hyderabad, India, 2022-2023

The data comprises all standard water quality parameters (including chemical oxygen demand, pH, dissolved oxygen, total dissolved solids), viable counts of heterotrophic bacteria and resistant bacteria and Escherichia coli, qPCR measured concentrations of 7 antibiotic resistance genes, 1 mobile genetic element gene, an E. coli specific gene and 16S rDNA. Samples were taken from the Musi river, upstream, within the city of Hyderabad, India, and downstream of the city, during the wet season of 2022 and the dry season of 2023. The Musi catchment is both rural and urban, including many residential communities, hospitals and factories. Downstream of the city, land use includes agriculture and aquaculture, with less human impact than within the city stretch. Sampling sites were chosen to contrast upstream water conditions with sites in the city and downstream. Both water and sediment grab samples were collected by a team from the Indian Institute of Technology Hyderabad. The data was collected to study the sources and fate of pollution with antimicrobial resistance. Full details about this dataset can be found at https://doi.org/10.5285/42e992f7-67b1-44dd-90de-f5990269b00e

Tags: Antibiotic resistance genes, Antibiotic resistant bacteria, Human Health and Safety, Hyderabad, Pollution, River, Urban, Wastewater, Water quality, antibiotic resistance, antimicrobial resistance
Organization: Environmental Information Data Centre
Rain chemistry and volume data from Climoor fieldsite in Clocaenog Forest

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes rainfall data from a ground level rain gauge as well as from basic storage rain gauges within the experimental plots in the Climoor field site in the Clocaenog Forest. Data includes volume of rainfall at both site and plot level, and rainfall chemistry (site level) from 1999-2012. Determinands include: Sodium (Na), Potassium (K), Calcium (Ca), Magnesium (Mg), Aluminium (Al), PO4-P, Chlorine (Cl), Phosphorus (P), Nitogen (N), Ammonium Nitrogen (NH4-N), Nitrate Nitrogen (NO3-N), Sulphate (SO4), dissolved organic Carbon (DOC) and pH for 1999-2002; and NH4-N, NO3-N, SO4, DOC and pH for 2002-2012. Full details about this dataset can be found at https://doi.org/10.5285/7b0da62f-14fc-4636-abb0-4dd9a668a6eb

Tags: Environmental Monitoring Facilities, water
Organization: Environmental Information Data Centre
High-resolution hydraulic parameter maps for surface soils in tropical South America

Spatial data files holding gridded parameter maps of surface soil hydraulic parameters derived from a selection of pedotransfer functions. Modern land surface model simulations capture soil profile water movement through the use of soil hydraulics sub-models, but good hydraulic parameterisations are often lacking - especially in the tropics - and it is this lack that we fill here in the context of South America. Optimal hydraulic parameter values are given for the Brooks and Corey, Campbell, van Genuchten-Mualem and van Genuchten-Burdine soil hydraulic models, which are widely-used hydraulic sub-models in many land surface models (e.g. Joint UK Land Environment Simulator JULES). Full details about this dataset can be found at https://doi.org/10.5285/4078678b-768f-43ff-abba-b87712f648e9

Tags: Amazon, Amazonia, Tropical South America, pedotransfer function, saturated water
Organization: Environmental Information Data Centre
Aerial imagery of Ynyslas coastal sand dunes, Wales in 2020

The data contains Aerial imagery of Ynyslas Dunes, Wales saved in a GeoTiff format. The imagery covers 8000 m2 of a discrete coastal sand dune at northern distal end of a spit in Dyfi National Nature Reserve. Data was collected during a six-minute flight on 5th February 2020 made by a DJI Mavic Pro 2 uncrewed aerial vehicle (UAV). The flight was planned with Pix4DCapture based on a ground pixel resolution of 0.01 m. Lateral and longitudinal overlap was set to 80%. Prior to flying, eight (5.8 per 100 photos) Ground Control Points (GCPs) were evenly distributed throughout the dune and their location surveyed using a differential global positioning system (DGPS). Orthorectification and mosaicking of the aerial imagery collected was performed using Pix4Dmapper utilising a fully automated workflow based on Structure-from-Motion (SFM) digital photogrammetry algorithms. The data was collected to test the accuracy and repeatability of bare sand and vegetation cover in dunes mapped from aerial imagery. Data was collected and processed by Dr Ryan Wilson (University of Huddersfield) and interpreted by Dr Thomas Smyth (University of Huddersfield). The work was supported by the Natural Environment Research Council NE/T00410X/1. Full details about this dataset can be found at https://doi.org/10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083

Tags: Coastal Dunes, Image Classification, Land Cover, Remote Sensing
Organization: Environmental Information Data Centre
Headwater stream invertebrate data 2007 [Countryside Survey]

This dataset consists of invertebrate species records, sampled from headwater streams during a survey in 2007. Macro-invertebrates were sampled using standard protocols. The sample area in each stream was a single area of stream-bed whose major habitat types can be sampled within the recommended sampling period of three minutes of active sampling, supplemented by a one minute hand search. The length of river surveyed would normally vary from 5 to 15m. Samples were collected using a standard 1mm mesh pond net and returned to the Centre for Ecology & Hydrology for later sorting and identification. Supplemental physical measurements (width, depth, substrate composition) required to run RIVPACS (River Invertebrate Prediction and Classification System) were taken. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Headwater stream surveys have been carried out in 1990, 1998 and 2007 with repeated visits to the majority of sites. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to headwater stream data, soil data, habitat areas, vegetation species data and linear habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/18849325-358b-4af1-b20d-d750b1c723a3

Tags: Environmental Monitoring Facilities, Freshwater macroinvertebrates, Great Britain
Organization: Environmental Information Data Centre
Macroinvertebrates of the river Conwy catchment, UK

The data consist of species level descriptions of macroinvertebrate communities from the Conwy catchment in Wales, UK, sampled over three years between 2008 and 2010. The water bodies studied are tributary streams of the river Conwy, Wales, UK. Sampling took place in November of each year. Macroinvertebrates were sampled using a 1 mm kick net following the RIVPACS (River Invertebrate Prediction and Classification System) field protocol. Site variables (depth, width, velocity, substrate cover, macrophyte cover) were also recorded and are supplied as supporting information. Full details about this dataset can be found at https://doi.org/10.5285/fbbf2775-2f4d-478b-b59e-38aeaafaf67c

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Environmental and biological measurements from Tatton Mere and Rostherne Mere, UK, 2022

This dataset contains information about water conditions at Tatton Mere and Rostherne Mere, Cheshire over Summer 2022. Data was collected weekly as part of a study into the presence of algal blooms and the toxins they may produce. In situ testing recorded temperature, pH, oxygen and conductivity measures. Water samples were also collected and analysed in the laboratory for anion, cation and metal concentrations, chlorophyll-a concentrations and cyanobacteria identification and counts. The work was supported by the Natural Environment Research Council (Grant NE/X011607/1). Full details about this dataset can be found at https://doi.org/10.5285/3fcb8359-9ca3-4319-b680-e0286f59571a

Tags: Cheshire Meres, Cyanobacteria , Environmental Monitoring Facilities, Water chemistry
Organization: Environmental Information Data Centre
Concentrations of antibiotics in wastewater and receiving waters following water treatment in SW England, June-October, 2015

This dataset comprises of weekly concentrations of fluoroquinolones in wastewater and receiving waters collected in the Avon river catchment South West UK. The following fluoroquinolones were analysed: (±)-ofloxacin, (±)-ofloxacin-N-oxide, (±)-desmethyl-ofloxacin, (±)-lomefloxacin, (±)-moxifloxacin, S,S-moxifloxacin-N-sulfate, R-(+)-besifloxacin, (±)-prulifloxacin, (±)-ulifloxacin, (±)-flumequine and (±)-nadifloxacin; ciprofloxacin, desethylene-ciprofloxacin, norfloxacin and nalidixic acid. The concentrations of (fluoro)quinolones were measured in receiving treated wastewater from 5 wastewater treatment plants (WWTPs), which serves 1.5 million people accounting for 75% of inhabitants living in the catchment area in the South West of England. NERC Grant NE/N019261/1 Full details about this dataset can be found at https://doi.org/10.5285/f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Land Cover Map 2018 (land parcels, N. Ireland)

This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2018 20m classified pixels dataset. All further LCM2018 datasets for Northern Ireland are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. 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/10.5285/35f15502-d340-4ab5-a586-abd42f238b6e

Tags: LCM2018, Meteorological geographical features, UK-SCAPE, vector
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: site indices 2020

This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the population size, being a more or less constant proportion of the number of butterflies present. The proportion seen is likely to vary according to species; some butterfly species are more conspicuous and thus more easily detected, whereas others are much less easy to see. Site indices are only calculated at sites with sufficient monitoring visits throughout the season, or for targeted reduced effort surveys (timed observations, larval web counts and egg counts) where counts are generally obtained as close to the peak of the flight period as possible and are subsequently adjusted for the time of year and size of the site (area of suitable habitat type for a given species). Wider Countryside Butterfly Survey (WCBS) sites are thus excluded because they are based on very few visits from which indices of abundance are not calculated. For transect sites, a statistical model (a General Additive Model, 'GAM') is used to impute missing values and to calculate a site index. Each year most transect sites (over 90%) produce an index for at least one species and in recent years site indices have been calculated for over 2,000 sites across the UK. Site indices are subsequently collated to contribute to the overall 'Collated Index' for each species, which are relative measures of the abundance of each species across a geographical area, for example, across the whole UK or at country level for England, Scotland, Wales or Northern Ireland. Individual site indices are important in informing conservation management as not all sites show the same patterns for each species and likely reflect a combination of local climate and habitat management at the site. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme. 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/b77561d8-20ee-45ad-9221-7a8885d5ac8e

Tags: England, Environmental Monitoring Facilities, Northern Ireland, Scotland, UK-SCAPE, Wales
Organization: Environmental Information Data Centre
Time series of microbial carbon release from soil as carbon dioxide under different nitrogen and phosphorus treatments with a low glucose concentration added as a carbon source in the Conwy catchment, North Wales, UK (2016)

Time series data of carbon release in disintegrations per minute are presented for different nitrogen and phosphorus treatments with a low glucose concentration substrate added as a carbon source to soil samples from six depths (0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres). Soil cores were collected from a field experiment in the Conwy catchment in July 2016 and returned the laboratories of the School of Environment, Natural Resources and Geography, Bangor University. A high molecular weight substrate was added as a carbon source to the samples and the rate of 14C-substrate mineralization measured. All the work was carried out by trained members of staff from Bangor University and the Centre for Ecology & Hydrology. The measurements were taken to improve understanding of the relationship between microbial activity and soil properties and depth of sampling, under differing nutrient availability. 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/c29d2ce1-0295-439b-adf1-98ed59f73fae

Tags: Conwy catchment, Environmental Monitoring Facilities, MCP, Macronutrient Cycling Programme, North Wales, Soil core, T2S, Turf2Surf, liquid scintillation counter 
Organization: Environmental Information Data Centre
Peatland vegetation: field and laboratory measurements of carbon dioxide fluxes and spectral reflectance

This dataset includes laboratory and field measurements of carbon fluxes and spectral reflectance for peatland vegetation including Sphagnum species. It also includes satellite data relating to the development and use of a Temperature and Greenness (TG) model, and an annual Temperature, Greenness and Wetness (TGWa) model. The laboratory data includes Gross Primary Productivity (GPP) and respiration data from samples of Sphagnum capillifolium and Sphagnum papillosum which were collected from the Forsinard Flows RSPB reserve (Northern Scotland) and subjected to different rainfall simulations, including total drought, in the laboratory. Spectral reflectance of the samples was also measured throughout the experiment, and the vegetation indices calculated are recorded. The field data includes carbon fluxes and spectral reflectance measurements, in this case taken from collars located at three sites within the Forsinard Flows Reserve during the main growing season of 2017 (March to September). Associated measurements of temperature, Photosynthetically Active Radiation (PAR), and moisture content were recorded. The species composition of the collars is also given in the data. The satellite data include Land Surface Temperature (LST) and Normalised Difference Vegetation Index (NDVI) products from the Moderate Resolution Imaging Spectroradiometer (MODIS) used to develop a TG model over the Forsinard Flows reserve, and the Glencar bog in Ireland. The dataset also includes bands used to calculate the Normalised Difference Water Index (NDWI) to develop the TGWa model. The MODIS data used in the implementation of this model to assess restoration progress, and also upscaling effectiveness, are included in the dataset. The work was carried out during a PhD project part-funded by the NERC SCENARIO DTP (Grant number: NE/L002566/1) at the University of Reading, and part-funded by The James Hutton Institute. Full details about this dataset can be found at https://doi.org/10.5285/ab9f47f9-9faf-4403-a57e-25e31f581ed0

Tags: Soil, Sphagnum capillifolium, Sphagnum papillosum
Organization: Environmental Information Data Centre
Subset of turbulent energy fluxes, meteorology and soil physics observations collected at eddy covariance sites in southeast England, June 2019

This dataset contains time series observations of surface-atmosphere exchanges of sensible heat (H) and latent heat (LE) and momentum (τ) measured at UKCEH eddy covariance flux observation sites during summer 2019. The dataset includes ancillary weather and soil physics observations made at each site. Eddy covariance (EC) and micrometeorological observations were collected using open-path eddy covariance systems. Flux, meteorological and soil physics observations were collected and processed using harmonised protocols across all sites. 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/10.5285/0254620f-9cf1-4d5b-af3f-bd8a6af95e96

Tags: Soil, UK-SCAPE
Organization: Environmental Information Data Centre
Hourly precipitation data for Kampala, Uganda, 2019-2020

Hourly precipitation (mm) recorded at distributed points around Kampala between April 2019 and March 2020. Only timestamps where data were available from all sensors have been included. There are 8094 records in total and no missing values. Timestamps are recorded as “YYYY-MM-DD hh:mm:ss”. The geographic coordinates of the sensors are provided in GeoJSON format. The column names in the CSV file correspond to the “id” field in the GeoJSON file. Full details about this dataset can be found at https://doi.org/10.5285/3df031ad-34ec-4abc-8528-f8f20bad12b8

Tags: Kampala, Rainfall
Organization: Environmental Information Data Centre