AndreaBozzo/ceres-open-data-index huggingface dataset:
River style characterisation, hydromorphological attributes, catchment properties and stream power analysis for the Bislak Catchment, Philippines, 2020

The shapefiles contain the classification and locations of each river style determined by the authors. The data were used to characterise the river styles in Bislak River, Philippines. Shapefiles were clipped to the catchment boundary from different national government agencies to produce different thematic maps. Catchment properties such as land use (from the National Mapping and Resource Information Authority (NAMRIA)), geology (from the Mines and Geosciences Bureau), fault (from Philippine Institute of Volcanology and Seismology, rainfall isohyets, slope map, and the digital elevation model (also from NAMRIA) were used for regional and catchment analysis. The data only covers the whole Bislak catchment, Philippines. The CSV contains data used for the stream power analysis where stream power is a factor of slope and discharge. Full details about this dataset can be found at https://doi.org/10.5285/31ae71aa-74a9-466b-9a3a-25d2b1a9406e

Tags: Luzon, Philippines, River styles
Organization: Environmental Information Data Centre
Deposition and concentration values for protected sites in the UK (2013-2015)

This dataset provides deposition values of sulphur and nitrogen deposition and concentration values for ammonia (NH3), sulphur dioxide (SO2) and nitrogen oxide (NOx) on the UK nature conservation protected sites, averaged over the years 2013 to 2015. The dataset also includes calculated minimum, maximum and gridded average values for each site. Protected nature sites covered are: (i) Special Areas of Conservation (SAC) (ii) Special Protection Areas (SPA) (iii) Sites of Special Scientific Interest (SSSI). The data consist of values of nitrogen and acid deposition, and concentrations of ammonia (NH3) based on the Concentration Based Estimated Deposition (CBED), and concentrations of NOX and SO2 using the Pollution Climate Mapping (PCM) model. Nitrogen and acid deposition data is also given for specific habitat types including: (i) moorland/short vegetation everywhere, (ii) forest everywhere, and (iii) the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) These habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances using the relevant deposition/habitat type. Full details about this dataset can be found at https://doi.org/10.5285/487b9d48-ec67-4b4e-a758-093a52d2d73b

Tags: Protected Sites, ecosystem impacts from atmospheric pollution, natura 2000, nitrogen deposition, source attribution
Organization: Environmental Information Data Centre
Soil biogeochemical data from gradients of windthrow disturbance, Kielder Forest, England, summer 2022

This dataset contains soil biogeochemical data collected along gradients of windthrow disturbance in Kielder Forest, Northumberland, England, in summer 2022 as part of the Monitoring Underground Disturbance (MUD) BioBank. We established ~200 m transects at 10 sites (defined by common stand type, topography) and established 50m2 sampling plots in three different disturbance regimes across each transect. Soils were analysed for moisture content, organic carbon and nitrogen, and root biomass. Full details about this dataset can be found at https://doi.org/10.5285/7811769d-3e11-4b79-b781-765ca9cfd83e

Tags: Environmental Monitoring Facilities, Soil biogeochemistry, fine roots, soil carbon, soil nitrogen
Organization: Environmental Information Data Centre
Body size, lifespan, behaviour and body temperature in relation to environmental variables in wild field crickets (Gryllus campestris) in a meadow in Northern Spain, May and June, 2017

We provide data on how the body temperature of field crickets Gryllus campestris rises and falls in relation to exposure to the sun and environmental factors include ground and air temperature, diffuse and shortwave radiation, and wind speed. Crickets were in a meadow in N. Spain from May to June 2017. Individual crickets were retained in a controlled area using a line attached to a copper ring glued to their thorax. Crickets were maintained in captivity and randomly selected every day to run the temperature increase trials. Trials were carried out in an area with mown grass. Before entering the trial, each individual was cooled to a temperature of 13ºC. During the cooling process, ambient temperature, humidity and reflected apparent temperature were measured using a thermal imagining camera (FLIR T4). Once the cricket reached the base temperature, it was released in the arena and its temperature measured at 1 minute intervals with the same camera, for a minimum of 20 minutes. These data were acquired to assess behavioural thermoregulation in crickets in the wild and were collected by researchers at the University of Exeter. Full details about this dataset can be found at https://doi.org/10.5285/a65dbd74-c5b4-4c33-a658-9941cac0a049

Tags: Body mass, Body temperature, Thermoregulation
Organization: Environmental Information Data Centre
Land Cover Map 2019 (1km summary rasters, GB and N. Ireland)

This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class. The 1km percentage product provides the percentage cover for each of the 21 land cover classes for 1km x 1km pixels. This product contains one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1km dominant coverage product is based on the 1km percentage product, and reports the land cover class with the highest percentage cover for each 1km pixel. A full description of this and all UKCEH LCM2019 products are available from the LCM2017-19 product documentation. Full details about this dataset can be found at https://doi.org/10.5285/e5632f1b-040c-4c39-8721-4834ada6046a

Tags: Biodiversity Action Plan, Great Britain, Land Cover, UK-SCAPE
Organization: Environmental Information Data Centre
High resolution dendrometer records, Sirsi, Western Ghats, India 2020-2021

The growth data contribute to determine the diversity of growth strategies of trees in the region as well as growth responses to varying climate. The climate data accompany other datastreams including continuously recorded leaf temperatures (using thermistors and thermal imaging), soil moisture, low time resolution growth and a wide range of hydraulic, thermal and photosynthesis traits for a representative set of species of the region. Tropical forest high resolution growth data measured as part of an effort to understand sensitivity of Western Ghats tropical forest trees to high temperatures and dry conditions. Full details about this dataset can be found at https://doi.org/10.5285/4fd3350b-f64c-4b7f-b129-4210f14a7e94

Tags: Safety limits, Tree traits
Organization: Environmental Information Data Centre
Historical (1971-2005) and projected (2006-2099) hydrological model (HMF-Malaysia) estimates of monthly mean and annual maximum river flows across Peninsular Malaysia driven by CORDEX-SEA projected climate data

This dataset comprises multiple baseline and future ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0. 0.008333° × 0. 0.008333° grid (approximate grid of 1 km × 1 km) across Peninsular Malaysia. Specifically, these are provided for historical (1971 to 2005) and projected future (2006 to 2099) periods, for 3 Representative Concentration Pathways (RCPs). This dataset is the output from the Hydrological Modelling Framework for Malaysia, or “HMF-Malaysia” model. The projected future hydrology simulations are provided for CORDEX-SEA (Coordinated Regional Downscaling Experiment – South East Asia) three RCPs (RCP2.6, RCP4.5 and RCP8.5) assuming (i) current artificial influences (CAI) such as water transfers and diversions and (ii) planned future artificial influences (FAI). This dataset is an output from the hydrological modelling study from the Malaysia - Flood Impacts Across Scales (FIAS) project. Full details about this dataset can be found at https://doi.org/10.5285/9b70bebe-189c-4ae8-9aee-1bb1db7b1ad5

Tags: Representative Concentration Pathways (RCPs)
Organization: Environmental Information Data Centre
Soil water measurements from Ethiopia’s Awassa region during the drought and subsequent floods of 2015-2016

Measurements were taken in three fertility zones within households in two districts of Halaba in the SNNPR, Ethiopia. Measurements were taken after the El Niño event of 2015/16, so reflect the resilience of different areas of the farm to drought. Measurements are provided at fertility zones home, near and far from the home, and at three depths (0-5cm, 5-10cm and 10-15cm). Measurements included were volumetric water content, more water conductivity, and soil temperature. This dataset was collected as part of the NERC-funded project Building Resilience in Ethiopia's Awassa region to Drought (BREAD). Full details about this dataset can be found at https://doi.org/10.5285/c18a5a8c-a9b0-401d-8784-d03f3c7cd049

Tags: BREAD, NE/P004830/1, Soil water characteristics, fertility zones within the household
Organization: Environmental Information Data Centre
Water chemistry data for the River Frome, Dorset, UK, from 1965-2009

Data from weekly water quality monitoring of the River Frome at East Stoke, Dorset (National Grid Reference SY 867868). The dataset consists of nitrate, soluble reactive phosphorus, dissolved silicon, pH, alkalinity, potassium, sodium, calcium and magnesium concentrations for the entire 44-year monitoring period, with total phosphorus, total dissolved phosphorus, electrical conductivity, water temperature, chloride, sulphate and ammonium concentration data for periods within the monitoring period. Daily average river flow on the day of sampling (extracted from the National River Flow Archive) is included. Full details about this dataset can be found at https://doi.org/10.5285/aa82fa99-d38c-47a7-9405-f0773edcd7a8

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Vegetation composition data from UK saltmarshes, 2018 to 2021

The dataset details vegetation composition of UK saltmarshes measured from quadrats across UK saltmarshes. Between 2018 and 2021, vegetation surveys were carried out at 460 sites across 33 saltmarshes as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to develop an understanding the linkages between saltmarsh soil organic carbon and vegetation. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The dataset comprises of percentage species cover, plant height, plant richness and plant diversity data from 33 UK saltmarshes. The work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1. Full details about this dataset can be found at https://doi.org/10.5285/7815291a-ee3e-49a7-8ef1-e8baa81f4964

Tags: C-SIDE, England, Habitats and Biotopes, Scotland, United Kingdom, Wales, plant, richness carbon, substrate
Organization: Environmental Information Data Centre
Rift Valley fever virus seroprevalence data from people involved in a cross-sectional survey in Tana River and Garissa counties, Kenya (December 2013 - February 2014)

These data include results from serological analysis carried out on serum collected from randomly recruited subjects, merged with household and subject level data about the subjects. The subject and household data collected included occupation of the household head, size of the household, and occupation, gender and age of the subject. Samples were collected from 303 people based in irrigated areas, 728 people from pastoral areas and 81 people from riverine areas along River Tana in Tana River and Garissa counties, Kenya. Field surveys were implemented in December 2013 to February 2014 and laboratory analyses were completed in June 2015. Serum samples were harvested from blood samples obtained from randomly recruited subjects and screened for anti-RVF virus immunoglobulin G using inhibition ELISA (enzyme-linked immunosorbent assay) immunoassay. The household and subject metadata was collected using Open Data Kit (ODK) (https://opendatakit.org) loaded into smart phones. The aim of the project was to determine the risk of Rift Valley Fever virus exposure in people living in areas with different land use and socio-ecological settings. The data were collected by experienced researchers from the International Livestock Research Institute (Kenya), the Department of Disease Surveillance and Response, Kenyatta National Hospital This dataset is part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project no NE/J001570/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Additional funding was provided by the Consultative Group on International Agricultural Research (CGIAR) Research Program Agriculture for Nutrition and Health. Full details about this dataset can be found at https://doi.org/10.5285/8a668a4f-3526-4443-9e77-cea67f04ca19

Tags:  seroprevalence, Dynamic Drivers of Disease in Africa Consortium (D, Ecosystem Services for Poverty Alleviation (ESPA), Rift Valley Fever (RVF), serum
Organization: Environmental Information Data Centre
Lepidoptera distribution and behaviour data from transects within the Stonehenge landscape, UK, between 2010 and 2011

This dataset consists of behaviour and distribution data of Lepidoptera at the Stonehenge World Heritage Site in Wiltshire, UK, between 2010-2011. A long term landscape scale grassland restoration and re-creation project has been underway at the site since 2000. 200m long transects were located in the centre of different grassland re-creation fields of different ages, arable land, chalk grassland fragments on slopes and on ancient burial mounds, and semi-improved pasture. Transects were surveyed on three occasions spread across the field season (June to September), and throughout the day and were selected ad-hoc for survey in order to minimise the effect that the time of year and day would have on results. During the survey, the transect was walked at a slow, steady pace allowing five minutes for each 20m section of transect and the number and species of Lepidoptera present 5m either side and ahead were recorded. If Lepidoptera were observed feeding, then the nectar plant species was also recorded. Habitat quality, defined in terms of vegetation characteristics and nectar resources, was quantified throughout each transect by sampling quadrats in each 20m segment of the transect. Vegetation characteristics were measured as vegetation height and density and the percentage cover of bare ground and dead vegetation. Nectar resources were measured in terms of the number and percentage coverage of flowering units, the total number of nectar flowering units and of relevant families (Dipsacaceae, Fabaceae and Asteraceae). The data were collected as part of a PhD project funded by the Natural Environment Research Council and the National Trust. Full details about this dataset can be found at https://doi.org/10.5285/a384bdfb-0bf2-4c3e-80ab-e171f38d503d

Tags: Environmental Monitoring Facilities, day flying moths, grassland restoration
Organization: Environmental Information Data Centre
Annual soil respiration under experimental drought and warming at Clocaenog forest (1999-2016)

The data consists of annual values of soil respiration for plots subjected to climate change manipulations between 1999 and 2016. Data were collected from the climate change field site Climoor that is located in Clocaenog forest, Northeast Wales. The experimental field site consists of three untreated control plots (Plots 3, 6 and 9), three plots where the plant canopy air is artificially warmed during night time hours (Plots 1, 2 and 7) and three plots where rainfall is excluded from the plots at least during the plant growing season (March to September, Plots 4, 5 and 8). Annual soil respiration values were calculated from fortnightly measurements of soil respiration. Soil respiration, milligrammes of Carbon dioxide - C per square metre per hour (mg CO2-C m-2 hr-1) was measured in the same pre-installed opaque soil collars. An infra-red gas analyser was used to measure the Carbon dioxide efflux. Annual soil respiration was calculated as sum of seasonal Carbon dioxide emissions. 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. More detailed information about the field site, measurements and related datasets can be found in the supporting documentation. Full details about this dataset can be found at https://doi.org/10.5285/253aa0a7-1d5a-446c-a5ca-fe2f0f50f6b1

Tags: Environmental Monitoring Facilities, flux
Organization: Environmental Information Data Centre
Soil water chemistry data from Climoor fieldsite in Clocaenog Forest

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes a range of determinands present in soil water in the experimental plot at the Climoor field site in the Clocaenog Forest, in north-east Wales. Soil water was collected at two depths in the soil profile - approximately 5cm and 20cm. At the bottom of the rooting zone (approximately 5cm depth) zero tension lysimeters were used. At the deeper depth (approximately 20cm depth) ceramic cup suction samplers were used. Data were collected between October 1998 and March 2009 at two weekly intervals. Determinands include: pH, Ammonium nitrogen (NH4-N), Nitrate nitrogen (NO3-N), Sulphate (SO4-S), dissolved organic carbon, dissolved organic nitrogen, Calcium (Ca), Potassium (K), Magnesium (Mg), Sodium (Na), Phosphate phosphorus (PO4-P), Chloride (Cl), total dissolved phophorus and total dissolved nitrogen. Full details about this dataset can be found at https://doi.org/10.5285/1deb9ee0-a01c-4ce6-a5b0-a1ad32beeff7

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Water temperature measurements from Durleigh Reservoir 2018

This dataset contains water temperature measurements at two different locations in Durleigh Reservoir in Somerset, England. Water temperatures were measured using RBR SoloT thermistors (measured in deg C) and HOBO TidbiT v2 loggers (measured in deg F). The dataset consists of water temperature measurements from two locations at Durleigh reservoir between 22 February 2018 and 5 October 2018. Measurements were taken at 10 minute intervals. Full details about this dataset can be found at https://doi.org/10.5285/25d34c83-e939-40fd-aa16-6962efb4c731

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Management data and antibiotic resistant E. coli detection in pre-weaned calves on 51 dairy farms, South West England, 2017-2018

This dataset consists of faecally-contaminated samples taken from the environment around pre-weaned calves on 51 farms in South-West England during 2017/2018 and is a subset of a larger dataset investigating antibiotic resistance in E. coli across 53 farms. The samples were analysed for presence of E. coli resistant to amoxicillin, streptomycin, cephalexin, tetracycline and/or ciprofloxacin. Management factors deemed related to pre-weaned calves are included, including antibiotic usage data at farm level. Full details about this dataset can be found at https://doi.org/10.5285/808b2b62-14db-4483-b0e6-5f533c007eec

Tags: Agricultural and Aquaculture Facilities, Antimicrobial resistance, South West England
Organization: Environmental Information Data Centre
Co-aligned hyperspectral and LiDAR data collected in drought-stressed European beech forest, Rhӧn Biosphere Reserve, Germany, 2020

This dataset comprises co-aligned hyperspectral and LiDAR data collected of European beech (Fagus sylvatica) forest within core protected areas of the UNESCO Rhӧn Biosphere Reserve, Germany. Data was collected using the Headwall Hyperspec Nano sensor flown from a unmanned aerial vehicle (UAV) in September 2020. The dataset comprises image and LiDAR data of four sites, each approximately 8ha in size. The study forests were subject to the extreme drought event that impacted central Europe in 2018/2019 and this project sought to collect data to enable individual tree and stand level assessment of the response (canopy damage and defoliation) of European beech trees to extreme drought events. The hyperspectral images available in this dataset have approx. 5cm pixel size with an associated LiDAR dataset and are suitable for identifying individual trees and the degree of canopy damage (defoliation, discolouration, and mortality) sustained by individuals/stands within the forest. The work was supported by the Natural Environment Research Council (Grant NE/V00929X/1). Full details about this dataset can be found at https://doi.org/10.5285/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76

Tags: Canopy Condition, European beech, Extreme Drought, Germany, Habitats and Biotopes, Hyperspectral, LiDAR, UAV
Organization: Environmental Information Data Centre
Simulated streamflow, demands and aquifer levels in the Cauvery Basin, India, 1986-2080 using the Global Water Availability Assessment Model (GWAVA)

The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock, irrigation and industry, across the Cauvery Basin, India. The data were generated using the Global Water Availability Assessment (GWAVA) Model 5. A baseline of 1986-2005 is presented along with two future time slices (2041-2060 and 2061-2080) for these variables. The data were produced to help predict how rapid economic development and population growth in the region would impact on future water security. The data resource was produced by the data authors. The research was funded by NERC research grant NE/N016491/1 Upscaling Catchment Processes for Sustainable Water Management in Peninsular India Full details about this dataset can be found at https://doi.org/10.5285/522309f8-59b1-4982-85df-cb3171c2a062

Tags: Cauvery Basin, GSM, General Circulation Model , SSP, Shared Socio-economic Pathway , aquifer level, demands, streamflow
Organization: Environmental Information Data Centre