AndreaBozzo/ceres-open-data-index huggingface dataset:
Peat depths from the Pastaza-Marañón Basin, Amazonian Peru, 2019-2020

Data on peat depth from >250 locations in the Pastaza-Marañón Basin, Amazonian Peru. The data were collected during a series of field campaigns in 2019 and 2020. These data, along with similar data collected under other projects, were used to train a predictive model of peat distribution. Locations of a small number of other sites are given without peat depth measurements (i.e. with NA in the column Peat_depth_cm); these sites relate to data reported elsewhere in the ‘Carbon Storage in Amazonian Peatlands’ data collection. Full details about this dataset can be found at https://doi.org/10.5285/ab13a06f-392f-4bc6-b1bf-06dd8b020307

Tags: Dipwell, Peru
Organization: Environmental Information Data Centre
Conceptual hydrogeological cross-section across the Gaborone catchment from Kanye area to Gaborone city, Botswana

The dataset contains a scaled, semi-quantitative conceptual hydrogeological model of the Gaborone catchment along a general WSW-ENE direction including; (1) the geographic coordinates of the extremities of each segment of the polyline transect; (2) the raster, scaled image of the conceptual hydrogeological cross-section. Full details about this dataset can be found at https://doi.org/10.5285/4731c4da-91fc-4762-9c17-74c8749d4227

Tags: Borehole, Conceptual hydrogeological model, Cross-section, Groundwater-surface water relationships, Topography
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: species trends 2022

This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976# to 2022), for the last 20 years, and for the last decade. In addition, trends are classified based on the direction and significance of a linear slope together with an estimated percentage change for that time period. These trend data are provided for all UK butterfly species for which we have sufficient data (58 species). Trends are calculated by performing a linear regression on the annual Collated indices for each species. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year. Trends across different time series allow us to determine the long and short-term status of individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place. 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. #Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species. Full details about this dataset can be found at https://doi.org/10.5285/4d21825b-56fc-4e01-8d67-068d1d587633

Tags: England, Environmental Monitoring Facilities, Northern Ireland, Scotland, UK-SCAPE, United Kingdom, Wales, annual
Organization: Environmental Information Data Centre
Soil pH and bulk density depth profiles in the Siksik catchment, North West Territories, Canada

Data comprise pH and bulk density measurements (location (longitude, latitude), depth, bulk density) for multiple soil profiles in the SikSik catchment, North West Territories, Canada. Samples were collected along a transect in September 2014. Soil samples were taken near additional soil pits. Soil depth and sampling location (latitude and longitude) was recorded. Bulk density was determined according to Blake and Hartge (1986). pH was determined with the 1:5 soil:water suspension method (see supporting documentation). The data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming. Full details about this dataset can be found at https://doi.org/10.5285/a37e6aa4-b003-49bd-9a16-619a7d0dd714

Tags: Siksik catchment, bulk density, pH, soil depth
Organization: Environmental Information Data Centre
Antibiotic resistance genes found in soils across the entire Scottish landscape (2007-10)

The dataset collates the relative concentration of nearly 300 antimicrobial resistance (AMR) genes found in soil locations across Scotland. Soils were obtained from the National Soils Inventory of Scotland (NSIS2), from which the total community DNA were extracted and provided to assess AMR gene content. Sampling of the NSIS2 was conducted between 2007-2010 at 183 soil locations representing intersections of a 20km grid across all of Scotland. For each sample, nearly 300 AMR genes were assessed representing major antibiotic classes, and included many resistance traits: aminoglycosides, beta-lactams, FCA (fluoroquinolone, quinolone, chloramphenicol, florfenicol and amphenicol resistance genes), MLSB (macrolide, lincosamide, streptogramin B), tetracycline, vancomycin, sulphonamide, efflux pumps and integron genes. The data represent relative gene abundance, i.e., the amount of genes per "total bacteria". Full details about this dataset can be found at https://doi.org/10.5285/d3498e93-4ac5-4eab-bc1a-eb2328771d24

Tags: Antibiotic resistance genes , Scotland, Soil
Organization: Environmental Information Data Centre
Estimates of daily river flows for 95 catchments in Great Britain from the GR6J model under present and future climate scenarios, using large ensemble climate model driving data

This dataset contains GR6J (which stands for modèle du Génie Rural à 6 paramètres Journalier) modelled daily river flow time series for 95 river catchments in Great Britain and driving data (precipitation and potential evapotranspiration calculated from temperature) from the EC-Earth Single Model Initial Condition Large Ensemble (SMILE) climate model. The large ensemble is based on the EC-Earth Global Climate Model (GCM) v2.3 and is run for present day (equivalent to present day climate with observed global mean surface temperature for the period 2011-2015) and pre-industrial plus 2°C and 3°C global warming conditions. In total, they make up 2000 years of data for each global warming level (i.e. 16 ensemble members x 25 realizations x 5 years = 2000 years). All ensemble members are pooled to form a continuous 2000-year time series of meteorological input and daily modelled river flows. Full details about this dataset can be found at https://doi.org/10.5285/d966ae7f-a29b-4c57-835d-f4efd0d65c88

Tags: Great Britain, Hydrography, large ensemble
Organization: Environmental Information Data Centre
Grassland arthropod trait and associated environmental data collected in arable reversion sites in southern England, 2014

This dataset contains arthropod species presence and abundance data, species trait data and environmental data for arable reversion sites in southern England. A chronosequence of 52 arable grassland restoration sites and five target National Nature Reserve grassland communities were sampled for arthropods in 2014. These sites were located on calcareous soils. The majority of these sites were established as part of the South Downs Environmentally Sensitive Area (ESA), South Wessex Downs ESA, as well as through subsequent agri-environmental schemes including Countryside Stewardship or Higher Level agri-environment. Restoration sites ranged in age (1 to 30 years), habitat quality (e.g. sward structure and floral similarity to target grasslands), management (cutting and grazing) and surrounding landscape (isolation and cover of grassland). This environmental variation was captured and is included in the data set. Arthropods were identified across a wide range of trophic groups (detrititvores, herbivores, predators and pollinators). For arthropod species identified to species, information on functional traits is derived, including body mass, dispersal ability and trophic group. Full details about this dataset can be found at https://doi.org/10.5285/78408af3-452f-41af-95f3-ffc13b05c232

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Simulated peat heights and water-table depths for UK blanket bog

These data are the simulated peat heights and water-table depths (both in cm) from a DigiBog run. The virtual peatland was configured as a 2-D transect of 100 x 2m x 2m columns. The data were generated for each year of a 5,100-year run. After 4,900 years, six ditches were added and the model allowed to run for a further 100 years. After this time, the ditches were ‘restored’ and the simulation continued until a total runtime of 5,100 years had elapsed. Full details about this dataset can be found at https://doi.org/10.5285/1d16b303-ca1d-43b4-93b1-c8172adc9792

Tags: Blanket peat, DigiBog, Economic valuation, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Impact of grassland management on biomass production and nutritional quality, invertebrate communities, and soil health in Berkshire (UK) 2009-2012

The dataset describes the effects of different management techniques on grassland biomass production (dry matter yield), nutritional quality (herbage nitrogen content), pollinator communities (abundance and species richness), predatory beetle communities (abundance, species richness and biomass), and soil health (bulk density, total soil carbon and nitrogen). Data was collected from a site in Berkshire (UK), where a field-scale, randomised block experiment had been implemented to investigate how the establishment of a variety of plant functional groups (grasses, legumes, and other flowering forbs) using different cultivation (minimum tillage and deep ploughing) and management (cutting, grazing and their intensity) techniques, affected the provision of various ecosystem services. Full details about this dataset can be found at https://doi.org/10.5285/984b1001-82f1-4ba0-aa1e-412f85d9d24f

Tags: Environmental Monitoring Facilities, Soil, forbs, legumes, natural pest control, sustainable intensification
Organization: Environmental Information Data Centre
Model output of changes in soil carbon storage and emissions for agricultural and forest land uses across the Red Soil region in China

Data comprise soil organic carbon content from a simulation using the ECOSSE model; a pool-based carbon and nitrogen turnover model. Simulations were performed using input data from the Sunjia research farm in southeast China (Jianxi province). Data here is from simulations using the global version of the ECOSSE model, a package which applies the regular model spatially. Input data for the simulations were provided by the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018. Full details about this dataset can be found at https://doi.org/10.5285/876fa724-c3d3-4091-8de2-8140b7c973eb

Organization: Environmental Information Data Centre
Hydrological data from the Portoviejo River, Ecuador, 2021-2022

This dataset contains daily measurements of river flow velocity (m/s), river discharge (m3/s), river depth (cm), and river width (m) from the Portoviejo River, Ecuador, from years 2021 and 2022. This dataset was generated as part of the NERC funded project 'Reducing the impacts of plastic waste in the Eastern Pacific Ocean', which aims to "reduce plastic leakage in the Eastern Pacific region, supporting development of a sustainable, circular plastics resource flow and reducing the impacts of plastic pollution on livelihoods and wildlife". This data was collected to monitor the river hydrological conditions alongside collections of anthropogenic litter using the Azure System developed by Ichthion Limited (https://ichthion.com/tecnologia/). Full details about this dataset can be found at https://doi.org/10.5285/6d2ad65f-1a8f-4819-892b-1b4de8d0d7c2

Tags: Ecuador, Hydrography, Portoviejo River, river flow
Organization: Environmental Information Data Centre
Phenological trait data for Moringa oleifera Lam. from Kenya 2020

This dataset is the first phenological trait data for Moringa oleifera and M. stenopetala trees from provenances collected in Kenya and planted at Ramogi. Trees were measured and scored for survival, height, diameter at breast height, fruiting and damage by three field surveyors. Full details about this dataset can be found at https://doi.org/10.5285/668f9f95-f367-4600-b93a-ffc24b67ce7f

Tags: Horseradish Tree, Plant Traits, Sub-Saharan Africa, Tree Improvement
Organization: Environmental Information Data Centre
Soil biological activity in the Chernobyl Exclusion Zone, Ukraine, September 2005 and spring 2016

Data comprise site location, soil chemistry (pH, soil moisture), soil radionuclide activity concentrations (the isotopes measured were: Americium-241, Caesium-137, Plutonium-238, -239 and -240, Strontium-90 (K-40 and U-238 activity concentrations were estimated from stable element data) and soil biological activity (derived from application of bait lamina sticks) at 18 sites in the Chernobyl Exclusion Zone (CEZ), Ukraine in 2016; data for four sites in 2005 are also presented. Estimate absorbed radionuclide dose rates to soil invertebrates and bacteria are also presented. The primary purpose of these data was to enable an evaluation of the potential impact of radiation on soil organisms. The work was carried out by UKCEH, Chernobyl Centre for Nuclear Safety and the University of Salford. Funding for this work was via the TREE project funded by NERC, Environment Agency and Radioactive Waste Management Ltd. under the RATE programme. Full details about this dataset can be found at https://doi.org/10.5285/19babe1c-b3a3-488c-b4fe-ebb4ab9237d8

Tags: Activity concentration, CEZ, Chernobyl, Chornobyl, bacteria, detritivorous arthropod, dose rate
Organization: Environmental Information Data Centre
Structure and composition of woodlands across Mozambique

This dataset contains quantitative measurements of woodland structure and composition sampled in twenty-seven different villages across three Districts in Mozambique, Africa. Data were collected from 431 plots where tree stem structure and composition, litter and grass biomass, coarse woody debris, and canopy cover data were recorded. Woodlands within seven villages in Mabalane District, Gaza Province, ten villages in Marrupa District, Niassa Province, and ten villages in Gurue District Zambezia Province were sampled. Data were collected in Mabalane between May-Sep 2014, Marrupa between May-Aug 2015, and Gurue between Sep-Dec 2015. 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/10.5285/70b5cdda-72df-4007-b10e-d75b4046e603

Tags: grass biomass, leaf litter, stem measurements , tree stem, woody debris
Organization: Environmental Information Data Centre
Feather isotope ratios and sexing of oystercatchers breeding in Iceland, 2013-2017

Dataset comprises of the delta-13C and delta-15N stable isotopic information from feather samples (for 552 individuals) and the sex (assigned by DNA-analysis of blood samples for 321 individuals) of oystercatchers (Haematopus ostralegus) breeding in Iceland during the summers of 2013-2017. The Icelandic oystercatcher population contains individuals that stay in Iceland year-round and individuals that migrate to mainland Europe in the non-breeding season, and feather isotope ratios provide a means of distinguishing between these migratory behaviours (as confirmed by observations of marked individuals). These data were collected by a collaborative team from the University of Iceland, University of East Anglia (UK) and the University of Aveiro (Portugal). Full details about this dataset can be found at https://doi.org/10.5285/acbe4aa4-4ed9-428a-b633-ddd1bc119e12

Tags: Environmental Monitoring Facilities, Eurasian Oystercatcher
Organization: Environmental Information Data Centre
Digital Elevation Model (DEM) data for the Conwy estuary, Wales

The Digital Elevation Model (DEM) domain includes the tidally influenced Conwy estuary, downstream of the Cwmlanerch river gauge on the River Conwy and extending offshore into Conwy Bay and the Menai Strait at the coastal boundary. A number of sources were combined to generate the land elevation data, including (a) seabed bathymetry, (b) land elevations and (c) location and heights of existing flood defences. The domain topography was based on the marine DEM, Lidar Digital Terrain Model (DTM) and Ordnance Survey Terrain 5m DTM. The Lidar DTM data was used to check and, where necessary, augment the flood defences vector database. Full details about this dataset can be found at https://doi.org/10.5285/7217e6c0-46c7-4f87-bc36-589f884d3b02

Tags: Digital Elevation Model, Elevation
Organization: Environmental Information Data Centre
Headwater stream macrophyte data 1998 [Countryside Survey]

This dataset consists of macrophyte species records, sampled from headwater streams during a survey in 1998. Stream macrophytes in Countryside Survey are surveyed using the standard MTR (Mean Trophic Rank) protocol, which records the presence and extent (on a categorical scale) of macrophytes in a 100m reach. 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/e0b638d5-8271-4442-97ef-cf46ea220f5d

Tags:  Stream macrophytes, Countryside Survey, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Average Accumulated Exceedance (AAE) of critical loads of acidity and nutrient nitrogen by acid and nitrogen deposition for the UK, 2017-2019

This data resource consists of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution AAE data summarising the exceedances of nutrient nitrogen critical loads for thirteen habitats. The data provide information on the amount of excess acid or nitrogen deposition above the critical load values set to protect acid- and nitrogen-sensitive habitats in the UK. The AAE has been calculated using UK 5x5 km Concentration Based Estimated Deposition (CBED) data for 2017-19 (https://doi.org/10.5285/1efa692d-76ca-406e-8736-837a457e16ee ). The data were generated under Defra-funded work to assess the potential areas of acid and nitrogen sensitive habitats at risk of adverse impacts from excess atmospheric acid and nitrogen deposition. Reducing the area and amount of critical load exceedance continues to be a driver of Government policy on reducing emissions of acidic and nitrogen-containing air pollutants (sulphur dioxide, nitrogen oxides and ammonia). Full details about this dataset can be found at https://doi.org/10.5285/049b5fd2-3f12-48fc-8b43-57fa4db649ae

Tags: Environmental Monitoring Facilities, Nutrient Nitrogen
Organization: Environmental Information Data Centre
Quantitative genetics of common juniper trees in a common garden trial in Cardrona, Scotland, 2022-2025

These data comprise 12 different measurements, including single traits (e.g. needle length) as well as repeated, yearly phenology measurements over time (autumn 2022 to summer 2025) from a common garden trial of juniper trees planted in Cardrona, the Scottish Borders. Seeds from 16 natural juniper populations were germinated, and seedlings were raised in a glasshouse at the UKCEH, Edinburgh, then planted in the field in August 2022. The field site is a seminatural research site owned by Forestry and Land Scotland and managed by Forest Research. It occupies a hillside at approximately 350 metres of elevation and with a west-southwest aspect, and grazing is controlled by deer fences and culls. This deposit also includes R scripts that can be used for transformations and analyses of the data, including univariate and multivariate analyses of quantitative data and correlating these measurements with climate variables (downloaded for each source population location from the CHELSA database). These plants were part of a PhD project conducted to evaluate the standing genetic diversity and adaptive capability of natural populations. Full details about this dataset can be found at https://doi.org/10.5285/6952cab2-35be-494f-9253-5873e7fa7f74

Tags: Common garden trial, Common juniper tree, Evolutionary ecology, Juniperus communs, Phenology, Quantitative genetics
Organization: Environmental Information Data Centre
Monthly Dissolved Organic Carbon (DOC) concentration time series (1883 to 2014) measured at the outlet of the Thames basin (UK)

The dataset consists of the world's longest fluvial dissolved organic carbon (DOC) record (1883-2014). The data have been measured at the outlet of the Thames basin, upstream of London (UK) and are reported monthly. The River Thames basin is a temperate, lowland, mineral soil-dominated catchment of 9,948 km2. Water colour data have been measured between 1883 and 1990, and DOC between 1990 and 2014. DOC until 1990 has been estimated through calibration between water colour and DOC for the period 1899-1905 when OC measurements were available. The fluvial DOC concentration shows an upward trend throughout the period. The data are presented as one table and one supporting file containing metadata and are summarised and presented in the Journal of Geophysical Research - Biogeosciences doi: 10.1002/2016JG003614. Full details about this dataset can be found at https://doi.org/10.5285/57943561-4587-4eb6-b14c-7adb90dc1dc8

Tags: Dissolved organic carbon, Environmental Monitoring Facilities, Thames Basin, Water colour
Organization: Environmental Information Data Centre