AndreaBozzo/ceres-open-data-index huggingface dataset:
Seedling survival and growth in nursery and outplanting in Sebangau National Park, Central Kalimantan, Indonesia, 2009-2016

Datasets consist of monitoring data on seedling survival and growth, both prior to (i.e., in the nursery) and after outplanting, collected between 2009 and 2016 from the tropical peatland of the Natural Laboratory of Peat-swamp Forest special research zone in Sebangau National Park, Central Kalimantan, Indonesia. The data include four data files, which provide processed summary data on survival and growth of seedling cohorts, plus the data on individual seedling survival and growth from which these summaries were derived, for both seedlings being raised in the nursery and following outplanting. Nursery data include monitoring datasets relating to seedlings acquired both from seeds and as wildlings, and for fertilised vs. unfertilised seedlings. Outplanting data include monitoring datasets from different treatments, including in previously burned vs. unburned areas, with and without fertiliser, and using conventional plastic polybags vs. organic baskets for planting. Full details about this dataset can be found at https://doi.org/10.5285/23e48f2b-cdd9-49bf-8048-f17771d72d9b

Tags: Field planting, Relative Growth Rate, Southeast Asia, Tropical peat-swamp forest
Organization: Environmental Information Data Centre
Larval and juvenile fish abundance, habitat, water quality, flow and climate data from English rivers, 1984-2017

This dataset contains monthly/annual time series of species-specific abundances and covariates for 137 targeted larval/juvenile fish surveys at sites in a range of English lowland rivers. Larval/juvenile fish data come from two different sources: The Environment Agency’s (EA) National Fish Population Database (NFPD) between 1974 and 2017 and a dataset created by the University of Hull (UoH) between 1984 and 2017 inclusive. Biological data consists of density estimates of each fish species from each survey (per metre squared) and also the average length of specified species at the end of their first year of growth. Covariate data include habitat quality indicator (River Habitat Survey), climatic variables (Gulf Stream and North Atlantic Oscillation indices), land-use change, river hydrology, water temperature, effluent dilution factor and concentrations of chemical determinands. This dataset was created as larvae and juveniles may be particularly useful indicators and respond differently than older fish to environmental stressors. The work was supported by the Natural Environment Research Council (Grant NE/S000100/2). Full details about this dataset can be found at https://doi.org/10.5285/c904c5f0-7f21-4759-a7d4-c262da230b53

Tags: England, Environmental Monitoring Facilities, Fish fry, Juvenile fish, Juvenile fish densities and pollution in English r, Larval fish, Larval fish densities and pollution in English riv, NFPD
Organization: Environmental Information Data Centre
Elemental concentrations in fish from lakes in Northwest England

Data comprise concentrations of elements in ashed fish sampled from lakes in the English Lake District in 2012 and 2013. Fish were collected from three lakes (Windermere, Bassenthwaite Lake and Derwent Water) by the Centre for Ecology & Hydrology (CEH) Lake Ecosystems group. Fish species collected were Roach (Rutilus rutilus), Perch (Perca fluviatilis), Ruffe (Gymnocephalus cernuus), Brown trout (Salmo trutta), Pike (Esox lucius) and Vendace (Coregonus albula). All samples were ashed prior to analysis by ICPMS or ICPOES to determine elemental concentrations. Full details about this dataset can be found at https://doi.org/10.5285/ed90df1b-462c-46bb-afbd-59794fb03f6b

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Land Cover Map 2024 (land parcels, GB)

This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel dataset with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2024 products are available from the LCM2024 product documentation. Full details about this dataset can be found at https://doi.org/10.5285/d036a1c2-77b2-40ef-a14d-d21fb394b595

Tags: Biodiversity Action Plan, Great Britain, Land Cover
Organization: Environmental Information Data Centre
Simulated landscape metrics of configuration and Ecosystem Service provision across virtual landscapes, based within River Conwy

These data are metrics of landscape configuration and modelled provision of Ecosystem services for a large number of virtual landscapes (c. 7500) superimposed on real topography. The landscapes are made up of patches of woodland interspersed across a grassland, and were generated with the landscapeR package in R. The topography used is from the Conwy catchment, split into 10 sections to enable comparison between topographies. Metrics were generated for each virtual landscape to quantify landscape configuration. An Ecosystem Services model (LUCI) was run to calculate a metric of “area mitigated” as a proxy for the provision of runoff mitigation Ecosystem Services. Simulated landscapes were established to answer two questions: firstly to identify the relative controls of patch area and fragmentation on service provision and secondly to identify catchment feature controls on these relationships. The work was done by Dario Masante and Amy Thomas, with input from Laurence Jones, as part of work under the NERC Biodiversity and Ecosystem Services (BESS) project NERC Grant Ref: NE/K015508/1. Full details about this dataset can be found at https://doi.org/10.5285/67f9fe33-14dd-4676-9a6d-65fdbafe2a46

Tags: Ecosystem Service bundles, Environmental Monitoring Facilities, Land Utilisation Capability Indicator (LUCI), LandscapeR, land use change, landscape configuration, non-linear response
Organization: Environmental Information Data Centre
Diffuse agricultural pollution to rivers in Scotland

Modelled predictions of annual pollutant loads in rivers from agricultural source areas for Scotland, reported at Water Framework Directive (WFD) catchment scale. The modelled pollutants include total phosphorous, nitrate (NO3-N), faecal indicator organisms (FIOs), suspended solids, methane (CH4) and nitrous oxide (N2O) gas emissions. The agricultural source areas include arable land, improved grassland, rough grazing land and others (e.g. steadings, tracks and other non-field losses). Modelled predictions account for current (c. 2012) implementation of General Binding Rules, Nitrate Vulnerable Zone Action Programme and a number of SRDP options. The values specify pollutant losses in 10^6 colony forming units (cfu) per year for FIOs and kilograms per year for the other pollutants. Full details about this dataset can be found at https://doi.org/10.5285/d4d5a10e-1612-4bb5-97b2-2b850cccdcb2

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Eurasian pollen data from 21 kiloannum to the present

This dataset contains fossil and modern pollen data collated during a workshop held in the UK in 2008 as part of the NERC (Quantifying and Understanding the Earth System) QUEST programme. The 96 sampling sites are located from 24°E (western Ukraine and Belarus) to easternmost Siberia, and lie north of latitude 40°N. The sample ages range from 21ka to present and are assigned to 1,000 year time slices. The dataset has been checked for consistent taxonomy and a redundancy-free taxonomy has been produced. Full details about this dataset can be found at https://doi.org/10.5285/6aeba247-52d1-4e84-949f-603742af40c1

Tags: Belarus, Eurasia, Late Quaternary, Ukraine
Organization: Environmental Information Data Centre
Countryside Survey 2007 estimates of Broad Habitat areas in Great Britain

This dataset consists of stock (area) data for Broad Habitats across Great Britain in 2007. The data are national estimates generated by analysing the sample data from 591 1km squares and scaling up to a national level. The data are summarized as habitat area per Land Class (areas of similar environmental characteristics). The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB and using the 'ITE Land Classification' as a method of stratification. The data were collected as part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. 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. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/f03cba75-8bca-4679-ae2a-77a9fcbd4df3

Tags: CEH Biodiversity Programme, Great Britain, Land Cover, habitats, vegetation
Organization: Environmental Information Data Centre
Morphometric measurements relating to 177 macro-moth species collected in the UK, 2017

A collection of six morphometric measurements (forewing length, body length, thorax length, thorax width, abdomen length, and abdomen width) relating to the 177 macro-moth species sampled by two Rothamsted Insect Survey (RIS) light traps (Bentley Wood and Porton Down III) from 33 days across 2017 (11-14 & 31 May; 1, 14-21 & 25-27 June; and 1-11, 17-18, and 24-26 July). Full details about this dataset can be found at https://doi.org/10.5285/3a813bd9-59ae-476e-a170-ab83fe1587b2

Tags: Habitats and Biotopes, Moths, Rothamsted Insect Survey, abdomen, body length, forewing, light trap, morphometric, thorax
Organization: Environmental Information Data Centre
Water depth of the South Saskatchewan River, Canada, 2015-2017, measured by single beam echo sounder

Data were collected in 2015 and 2016 to provide information about spatial variations in water depth and river bed morphology (including bedform height) on the South Saskatchewan River, Canada. Water depth measurements were obtained with a Navisound NS 215 system and a Reson TC 2024 200kHz high-resolution dual frequency single beam echo sounder (SBES) operating at a sampling frequency of 10hz. Data were geolocated via a Leica 1230 Real-Time Kinematic (RTK) dGPS system. Data were collected in 2015 (between 7th and 9th September) and 2016 (between 2nd and 14th September) as part of NERC project NE/L00738X/1. Full details about this dataset can be found at https://doi.org/10.5285/14c80b71-6eb6-4dba-a298-b95a37059f55

Organization: Environmental Information Data Centre
Abundance of pollinators and diversity of bees in Ghana and the effect of urbanisation and management practices

Data consists of abundance counts and diversity of pollinators collected in Ghana. Pollinators were sampled with pan-traps between August and November 2016 in 126 greenspaces spread over an urbanisation gradient and three management practices (amenity lands, farmed sites and informal greenspaces) around Sunyani and Techiman, Ghana. All insects were identified to order in the field. Samples were stored in 70% alcohol before being pinned for identification. Bees and wasps were pinned and differentiated with microscopy based on Goulet and Hubert (1993). Bees were subsequently identified with microscopy to morpho-species following Eardley, Kuhlmann and Pauly (2010). Full details about this dataset can be found at https://doi.org/10.5285/2e245944-ee5b-4612-b866-cafa3a129270

Tags: Hyaleus spp., Notyhyaleus spp.
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) wave monitoring over saltmarsh and mudflat habitats

The dataset details derived wave parameters from bottom-mounted pressure monitoring installations across five UK salt marshes. Two of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area. The sensors were deployed in transects oriented approximately shore-normal and straddling the vegetated-unvegetated margin. 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/f4db9cda-c25e-4ce8-b236-31e8bf44fcde

Tags: BESS, CBESS, Habitats and Biotopes, attenuation, mudflat, pressure sensors, transformation, vegetated foreshores, wave monitoring
Organization: Environmental Information Data Centre
Land Cover Map 2017 (20m classified pixels, N. Ireland)

This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a 2-band, 8-bit integer raster. The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence. For a fuller description please refer to the product documentation. 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/f6b551ea-e079-4150-b13c-b5f89f5dbaa6

Tags: Land Cover, UK-SCAPE
Organization: Environmental Information Data Centre
Ecosystem types and their respective ecosystem services (ES) and disservices (EDS) in the Luanhe River Basin, China

This dataset includes polygons representing ecosystem types (ET) and their respective ecosystem services (ES) and disservices (EDS) in the Luanhe River Basin, with attributes recording 14 ecosystem types (ET), 11 provisioning services (PS), ten regulating services (RS), five cultural services (CS), 7 Ecological integrity indicators (EI), and 11 ecosystem disservices (EDS). Full details about this dataset can be found at https://doi.org/10.5285/2252d8a4-0ef3-403f-b2c3-3f7acbcac1d5

Tags: Capacity matrix, China, Ecosystem disservices, Ecosystem types, Luanhe River Basin
Organization: Environmental Information Data Centre
UK Environmental Change Network (ECN) stream water chemistry data: 1992-2015

Stream water chemistry data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include pH, conductivity, alkalinity, aluminium, calcium, chloride, ammonium, nitrate nitrogen, phosphate phosphorous, potassium, sulphate sulphur, sodium, total nitrogen and total dissolved phosphorous. The data are collected by dip samples at ECN's terrestrial sites (where there is a stream present) using a standard protocol. They represent continuous weekly records from 1992 to 2015. The sites at which these data are collected are: Cairngorms, Glensaugh, Moor House - Upper Teesdale, North Wyke, Rothamsted, Sourhope, Wytham and Y Wyddfa (Snowdon). 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/fd7ca5ef-460a-463c-ad2b-5ad48bb4e22e

Tags: Alice Holt, DOC, Drayton, Environmental Monitoring Facilities, Glensaugh, Hillsborough, ILTER, LTER, Moor House - Upper Teesdale, North Wyke, Rothamsted, Sourhope, Wytham, Yr Wyddfa - Snowdon, alkalinity, magnesium, pH, potassium, runoff, sodium, stream
Organization: Environmental Information Data Centre
Eddy covariance measurements of carbon dioxide, energy and water fluxes at a pasture, Yorkshire, UK, 2021-2023

The dataset includes 30-minute observations of land-atmosphere exchange of net ecosystem carbon dioxide exchange and sensible and latent heat measured over two years in a cut and grazed pasture in Yorkshire, UK. Fluxes were measured using the eddy covariance method. Full details about this dataset can be found at https://doi.org/10.5285/c94b7b70-ab7e-4415-9b99-7f4a10e97c1c

Tags: Environmental Monitoring Facilities, cutting, eddy covariance, net ecosystem exchange
Organization: Environmental Information Data Centre
Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain (1960 to 2015): observed driving data [MaRIUS-G2G-MORECS-daily]

This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1960 to 2015. The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/). The data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity (http://www.mariusdroughtproject.org/). Full details about this dataset can be found at https://doi.org/10.5285/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2

Tags: G2G, Great Britain, Grid-to-Grid, Hydrography, River flow
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: collated indices 2015 version 2

Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Based on this criterion collated indices have been calculated for the entire UKBMS time series from 1976 to the current year for the majority of species. For some rarer species the time series starts in a later year due to lack of data. Collated indices are calculated using a statistical model that accounts for missing data. The number of sites for each species ranges from 5 to several hundred and varies from year to year. Since 2008 more than 1,000 sites have been monitored across the UK each year. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and to measure the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change (e.g. as official UK Biodiversity Indicators), and have been used in numerous research studies to understand the impacts of changes in climate and the extent and condition of habitats. Although the UK Centre for Ecology & Hydrology (UKCEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of the Collated indices, the collection of the data used in their creation is ultimately reliant on a large volunteer community. The UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). This version supersedes the original version due to an error in the precision of the reported figures. This dataset is updated annually and recent versions of the UKBMS collated indices are available. Full details about this dataset can be found at https://doi.org/10.5285/c6c5e93c-06c2-44d5-ab2a-8f6f10951888

Tags: Species Distribution
Organization: Environmental Information Data Centre
Carbon and nitrogen content in soils and vegetation from calcareous grassland, heathland and woodland sites in Dorset, 2017-2018

This dataset contains carbon and nitrogen data from soils and vegetation from 13 calcareous grassland, 13 heathland and 12 woodland sites within Dorset, UK. The sites were selected to represent a range of habitat types across a condition gradient as measured by levels of degradation from the original habitat. The original habitats were identified as being calcareous grassland, heathland or woodland from a survey conducted in the 1930s. Within each site, 15cm deep soil cores were taken and analysed for total nitrogen, total carbon and bulk density. Within the same area for each site, vegetation samples were taken from five 50cm quadrats and separated into herbacous or shrub layers before analysis for total carbon, total nitrogen and dry weight. Heathland and calcareous grassland sites were visited in summer 2017 and woodland sites were visited in summer 2018. Full details about this dataset can be found at https://doi.org/10.5285/ea43c2d1-88f5-4692-a09d-0ef4d96e0f35

Tags: Environmental Monitoring Facilities, calcareous grassland, woodland
Organization: Environmental Information Data Centre
Tree census and above ground biomass variation in permanent forest monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2017-2020

The data were collected between 2017 and 2020 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems in Colombia. The dataset includes information on tree diameter and height, scientific and family names following APG III, Above Ground Biomass (AGB), perturbation gradient, altitude, and plot code. The aim of this data collection is to investigate the factors influencing forest change across various gradients, and to evaluate the forest composition of these forests. This data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the resilience of forest ecosystems after the post-conflict period in Colombia. Full details about this dataset can be found at https://doi.org/10.5285/a46f0ac4-5ca1-4259-a4f8-d825b5d81d63

Tags: Altitudinal gradient, Colombian Andean, Forest ecology, Human modified tropical forests, Human perturbation gradient
Organization: Environmental Information Data Centre