AndreaBozzo/ceres-open-data-index huggingface dataset:
Automated high resolution soil respiration campaign data from Climoor fieldsite in Clocaenog Forest (2013 - 2014)

This dataset provides data on automated high resolution soil respiration measurements as micromoles of Carbon dioxide per square metre per second. Automated high resolution soil measurements were carried out in campaigns in 2013 and 2014. Campaigns were carried out monthly between June and October 2013 and in June and August 2014 capturing the plants growing season. Data were collected from the climate change field site, Climoor, that is located in the Clocaenog forest, North East Wales. The experimental field site consists of three untreated control plots three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season (March to September). Measurements were taken with automated soil respiration chambers. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. Plot level soil respiration measurements are important to investigate soil carbon dynamics and changes in soil carbon cycling and storage under the imposed climatic treatments. Soil respiration measurements were carried out by trained CEH Bangor members of staff. Full details about this dataset can be found at https://doi.org/10.5285/dcfc2081-f42c-4238-93dd-2ce64438b3ea

Tags: Environmental Monitoring Facilities, High resolution data, LICOR, North Wales, Plot level data, Soil Carbon, flux
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: species trends 2020

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 the present year), 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. 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 the present year), 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/10.5285/236ee6bd-2330-4f84-a871-5a8ebe1925b5

Tags: England, Environmental Monitoring Facilities, Northern Ireland, Scotland, UK-SCAPE, United Kingdom, Wales
Organization: Environmental Information Data Centre
Soil respiration in human-modified forests of Eastern Amazonia

This dataset includes measurements of soil respiration in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from January 2015 until November 2017. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires. Full details about this dataset can be found at https://doi.org/10.5285/e5f361b3-b434-4d11-9407-e5f48fe442b0

Tags: Brazilian Amazon, Forest fire, HMTF, Human modified tropical forests, Soil respiration
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: species trends 2017

This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) 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 2017), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This 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 Centre for Ecology & Hydrology (CEH), 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. Full details about this dataset can be found at https://doi.org/10.5285/ddcd1fa7-27d8-4082-93bd-a550c98208cf

Tags: Species Distribution
Organization: Environmental Information Data Centre
Exponential parameters fitted to Delayed Flow Indices curves calculated for GB catchments, 1970-2015

This dataset contains exponential parameters from fitting an exponential curve to Delayed Flow Index (DFI or Characteristic Delay) curves using river discharge data from CAMELS-GB (Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great Britain). The DFI curve at each catchment describes the response to rainfall over different time windows. The exponential parameters summarise the shape of the DFI curve at each site. Full details about this dataset can be found at https://doi.org/10.5285/d1df0a31-d329-4b21-8aa0-ba135d6a8042

Tags: Hydrography
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: species trends 2012

This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) 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 2012), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of this trend datasets. The collection of the underlying UKBMS data is reliant on a large volunteer community. The UK Butterfly Monitoring Scheme is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). This dataset is updated annually and a more recent version of the UKBMS species trends (2013) is now available. Full details about this dataset can be found at https://doi.org/10.5285/5afbbd36-2c63-4aa1-8177-695bed98d7a9

Tags: Species Distribution
Organization: Environmental Information Data Centre
Socioecological data from smallholder oil palm plantations in Selangor, Peninsular Malaysia, 2022

This dataset includes results from social and environmental surveys of 27 oil palm smallholders and farms in Selangor, Malaysia. Environmental data includes: information on size of plot, crop type and cover, GPS location, vegetation cover, vegetation height, canopy density, epiphyte cover, soil pH, soil moisture, palm herbivory and palm health. Social data includes information (all anonymised) on: plot area, number of palms, sociodemographic data, plantation management practices applied, knowledge and value assigned to wildlife, and yield. Data were collected from March to September 2022. Full details about this dataset can be found at https://doi.org/10.5285/81b02484-a87e-4a49-baba-678654059091

Tags: Banting, Selangor, crop, environment, oil palm, smallholder, social, soil, vegetation
Organization: Environmental Information Data Centre
Land Cover Map 2024 (25m rasterised land parcels, N. Ireland)

This is a 25m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty. 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/10.5285/3f88bf7f-e67b-41da-9c52-086ddb9f35f9

Tags: Biodiversity Action Plan, Land Cover, Northern Ireland
Organization: Environmental Information Data Centre
Woodlands survey site information 1971-2001

The dataset consists of slope, aspect, locations, descriptions and habitat categories from plots and sites in 103 woodlands surveyed across Great Britain in 1971 and again over the growing seasons of 2000, 2002 and 2003 (referred to as '2001 survey'), using exactly the same field methods. Data were collected under projects managed by The Nature Conservancy (in 1971) and the Centre for Ecology & Hydrology (in 2001). Full details about this dataset can be found at https://doi.org/10.5285/d6409d40-58fe-4fa7-b7c8-71a105b965b4

Tags: Environmental Monitoring Facilities, ecological survey, woodlands
Organization: Environmental Information Data Centre
Wood specific gravity for trees in Ankeniheny Zahamena forest corridor, Madagascar

[THIS DATASET HAS BEEN WITHDRAWN]. Data comprise wood specific gravity (WSG) and density at 12% moisture content (D12) in wood cores sampled from trees in the Ankeniheny Zahamena forest corridor, the remains of the evergreen forest of eastern Madagascar. The data also include date of sample collection, zone identifier, core identifier, local and scientific tree name, tree height and diameter. Samples were analysed by UFR Sciences du bois de l'ESSA-forêts, Université d'Antananarivo. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4, P4GES project Full details about this dataset can be found at https://doi.org/10.5285/5e9fe20b-8d00-4bd3-99cb-7989fa781348

Tags: Corridor Ankeniheny Zahamena (CAZ), Eastern humid region, Ecosystem Services for Poverty Alleviation (ESPA), core, tree, wood, wood specific gravity
Organization: Environmental Information Data Centre
Cumbrian Lakes Monitoring thermal stratification timing 1951-2017

The dataset contains the day of year for the onset and end of thermal stratification and its total length in Blelham Tarn, Esthwaite Water, Windermere, north basin and Windermere, south basin between 1951 and 2017. 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/d029bb43-5722-4932-9c14-be316a2e7144

Tags: Climate indicator, Cumbrian Lakes Monitoring, Environmental Monitoring Facilities, Lakes, Long term change, Stratification duration, Stratification onset, Stratification overturn, Thermal stratification, UK-SCAPE, United Kingdom
Organization: Environmental Information Data Centre
LiDAR based Digital Surface Model (DSM) data for South West England

This is a high resolution spatial dataset of Digital Surface Model (DSM) data in South West England. It is a part of outcomes from the CEH South West (SW) Project. There is also a Digital Terrain Model (DTM) dataset covering the same areas available from the SW project. Both DTM and DSM cover an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DSM includes the height of features on the bare earth such as buildings or vegetation (if present). An overview of the TELLUS project is available on the web at http://www.tellusgb.ac.uk/. Full details about this dataset can be found at https://doi.org/10.5285/b81071f2-85b3-4e31-8506-cabe899f989a

Tags: Elevation, TELLUS
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil moisture content from three soil depths on salt marsh sites at Morecambe Bay and Essex

The dataset comprises the field soil moisture content expressed as a percentage at three depth zones, (0 - 10 centimetre (cm), 10 - 20 cm and 20 - 30 cm), measured from bulk density soil samples taken within each 1 metre x 1 metre quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 metre (m) (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. Samples were taken using a bulk density ring. Soil moisture content was determined by weighing the samples as fresh field mass and then again after being dried out at 105 degrees Celsius for 72 hours. 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/10.5285/125a899b-8f10-4803-a6cf-a2fb1739746f

Tags: BESS (Biodiversity and Ecosystem Service Sustainab, CBESS (Coastal Biodiversity and Ecosystem Service , Habitats and Biotopes, Salt marsh, soil, soil moisture content
Organization: Environmental Information Data Centre
Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere South Basin, 2019-2020

This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. All data are from January 2019 until the end of 2020. Full details about this dataset can be found at https://doi.org/10.5285/79ae89dd-a597-4dc9-9cc9-bb82cbf33559

Tags: Environmental Monitoring Facilities, Lake District, Secchi depth, algae, lake monitoring, lake water chemistry, lake water temperature
Organization: Environmental Information Data Centre
Dive times and depths of auks (Atlantic puffin, common guillemot and razorbill) from the Isle of May outside the seabird breeding season

This dataset contains the dive times (dive start time and dive end time) and depths (maximum depth attained on a dive) of three species of auk from the Isle of May outside the seabird breeding season. Data were collected from 12 Atlantic puffin individuals (Fratercula arctica), 13 common guillemot (Uria aalge) and 13 razorbill (Alca torda). Atlantic puffin data were collected between 19th July 2008 to 3rd December 2008; common guillemot data from 20th July 2005 to 28th January 2006; razorbill data from 1st July 2008 to 24th January 2009. Full details about this dataset can be found at https://doi.org/10.5285/6ab0ee70-96f8-41e6-a3e3-6f4c31fa5372

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Entomological and microclimate data logger data for the Kilombero valley in Tanzania

Mosquito trap data from Kilombero Valley in Tanzania - a global hotspot for malaria. Since 2007, field entomologists working at Ifakara Health Institue (IHI) and at the University of Glasgow have been trapping and collecting primary malaria vectors for four villages in the Kilombero Valley: Lupiro, Kidugalo, Minepa and Sagamaganga. Trapped mosquitoes were identified to species level (Anopheles gambiae and A funestus), their sex recorded (male or female) and their abdominal status (fed or unfed) noted. When available, the daily mosquito data was consistently linked to micro climate data logger data (weather conditions on site, including averaged, minimum and maximum daytime and night time values for temperature, humidity and vapour pressure deficit). This long record allows exploring the relationship between malaria vector dynamics and related environmental conditions. Full details about this dataset can be found at https://doi.org/10.5285/89406b06-d0aa-4120-84db-a5f91b616053

Tags: ENSO, Kilombero, Sagamaganga
Organization: Environmental Information Data Centre
Mortality data for a population of banded mongooses (Mungos mungo) in Mweya, Uganda, 2000-2011

This dataset provides details about each time we observed two banded mongoose groups engaging in what ended up being lethal conflict at our field site (Mweya, Uganda) between 2000-2011. The dataset provides information about which group won the contest (measured by which group ran from the location of the fight), which individual died in the battle, whether that individual was in the losing or winning group, and the date. The purpose of this data was to estimate the proportion of mortalities which come from winning groups vs. losing groups. Full details about this dataset can be found at https://doi.org/10.5285/75f2072e-f708-46d8-baff-0c6d02d81ede

Tags: Banded mongoose, Intergroup conflict, Lethal, Mortalities from conflict
Organization: Environmental Information Data Centre
Distributed potential recharge projections for the UK, based on UK Climate Projections 2018 (UKCP18) data, from the Enhanced Future Flows and Groundwater (eFLaG) project

The dataset contains 2 km resolution gridded daily potential groundwater recharge time series covering the British mainland from the Enhanced Future Flows and Groundwater (eFLaG) project. The data include simulations driven with historical observed climate data (1962-2018) and simulations driven with bias-corrected UKCP18 'Regional' 12km projections. Full details about this dataset can be found at https://doi.org/10.5285/b14839e5-03e0-43ff-9382-1be2daf3baba

Tags: Environmental Monitoring Facilities, Groundwater recharge, Hydrogeology
Organization: Environmental Information Data Centre
DECIPHeR model estimates of daily flow for 1366 gauged catchments in Great Britain (1962-2015) using observed driving data

This dataset provides 100 model realisations of daily river flow in cubic metres per second (m3/s) for 1,366 catchments, for the period 1962 to 2015. The dataset is model output from the DECIPHeR hydrological model driven by observed climate data (CEH-GEAR rainfall and CHESS-PE potential evapotranspiration). The modelled catchments correspond to locations of National River Flow Archive (NRFA) gauging stations and provide good spatial coverage across the UK. The dataset was produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity) to provide national scale probabilistic flow simulations and predictions for UK drought risk analysis. MaRIUS was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity. Full details about this dataset can be found at https://doi.org/10.5285/d770b12a-3824-4e40-8da1-930cf9470858

Tags: DECIPHeR, Great Britain, Hydrography, MaRIUS (Managing the Risks, Impacts and Uncertaint, Uncertainty
Organization: Environmental Information Data Centre
Countryside Survey mapped estimates of Broad Habitat area change in Great Britain between 1998 and 2007

This dataset consists of change data for areas of Broad Habitats across Great Britain between 1998 and 2007. The data are national estimates generated by analysing the sample data from up to 591 1km squares and scaling up to a national level. The data are summarized as percentage increase or decrease in habitat area per Land Class (areas of similar environmental characteristics) and are in a vector format. 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 by the Centre for Ecology & Hydrology. 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/d83a0f9e-00c9-4d2d-9d0a-e92a16dcb334

Tags: Broad Habitats, Great Britain, Habitats and Biotopes
Organization: Environmental Information Data Centre