AndreaBozzo/ceres-open-data-index huggingface dataset:
Modelled annual average production loss due to ozone damage for four global staple crops 2010-2012

Modelled annual average production loss (thousand tonnes per 1 degree by 1 degree grid cell) due to ground-level ozone pollution is presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum), for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for production loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop production losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is a step towards mitigation of the problem. The production loss calculations were done as part of the NERC funded SUNRISE project (NEC06476) and National Capability Project NC-Air quality impacts on food security, ecosystems and health (NEC05574). Full details about this dataset can be found at https://doi.org/10.5285/0aa7911a-ab5f-4b08-a225-28b1e8344d01

Tags: Air pollution impact, Environmental Monitoring Facilities, Maize, Production loss
Organization: Environmental Information Data Centre
Biologging data of captive red deer, Prague, Czechia, June-November 2023

This dataset contains biologging data of captive red deer Cervus elaphus, to study sleep behaviour. This includes acceleration (m/s2), magnetometer (gauss), and temperature (degrees Celsius) measurements, collected using collar-mounted accelerometer and magnetometer recorders at 20Hz. This data was collected from 18 adult individuals; 13 male, 5 female, in 2023 over three deployments. Deployment 1 (males) 13/06/23 – 1/8/23; deployment 2 (males) 04/09/23 – 08/11/23; deployment 3 (females) 13/11/23 – 21/11/23. Deer were housed at the VUZV facility, Uhrineves, Prague, Czech Republic. This dataset was funded by NERC, as part of project “NE/X010368/1: Sleep in the landscape of fear” and was measured to aid in the creation of a classification model to detect sleep in red deer from collar accelerometers, as well as to test arousal thresholds in sleeping deer. Full details about this dataset can be found at https://doi.org/10.5285/e7fdf789-e663-4422-92c2-ea8019b3cc26

Tags: Environmental Monitoring Facilities, accelerometery, biologging, red deer
Organization: Environmental Information Data Centre
Risk of Phytophthora infection in woodland and larch fragments across Scotland

These spatial layers contain risk factors and overall risk scores, representing relative risk of Phytophthora infection (Phytophthora ramorum and P. kernoviae), for Core Native Woodland and known larch fragments across Scotland. Risk factors include climate suitability, proximity to road and river networks and suitability of habitat for key hosts of Phytophthora and were broadly concurrent with the period between 2007 and 2013. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH). Full details about this dataset can be found at https://doi.org/10.5285/29726cda-09f5-4661-8fd4-ddaa5555466a

Tags: Habitats and Biotopes
Organization: Environmental Information Data Centre
Tree diameter census data in intact forest permanent plots across the Amazon Basin, 2017-2019

The dataset contains information of Diameter at Breast Height (DBH) of 8,729 trees. These trees are distributed in 29 RAINFOR network forest plots across the Brazilian Amazon, comprising the states of Acre, Mato Grosso and Pará. All the plot censuses are located in terra-firme non-flooded lowland forests. The measurements were collected between 2017 and 2019. The Amazon Forest Inventory Network is a long-term, international collaboration to understand the dynamics of Amazon ecosystems. Since 2000 they have developed a framework for systematic monitoring of forests from the ground-up, centred on plots that track the fate of trees and species, and includes soil and plant biogeochemical records, as well as intensive monitoring of carbon cycle processes at some sites. RAINFOR works with partners across the nations of Amazonia to support and sustain forest monitoring and help develop new generations of Amazon ecologists. The work of RAINFOR is currently supported by funding agencies in Brazil, the UK, and the EU. Full details about this dataset can be found at https://doi.org/10.5285/63d4b774-4e03-4db2-95ad-dcca18f0d681

Tags: Amazon, DBH, Forest inventory, Tropical forest
Organization: Environmental Information Data Centre
Single nucleotide polymorphism genotyping of 323 wheat accessions from Pakistan, Mexico and Australia

[This dataset is embargoed until June 1, 2027]. The dataset contains single nucleotide polymorphism (SNP) genotyping data for 323 diverse wheat accessions from Pakistan, Mexico, and Australia. DNA was extracted from 21-day-old seedlings grown in a glasshouse at Rothamsted Research, UK, and genotyped using the commercially available TaNG v1.1 Affymetrix Axiom array at the Bristol Genomics Facility, University of Bristol. The genotypic data are provided in HapMap double-bit format. This work aimed to improve nitrogen use efficiency (NUE) in wheat as part of efforts toward sustainable yield enhancement and global food security. Genetic dissection of key agronomic traits presents a viable strategy for developing high-yielding, nitrogen-efficient wheat cultivars. The data support a genome-wide association study (GWAS) that related NUE traits to potential genetic markers. The research was funded by the Natural Environment Research Council (Grant NE/S009019/1). Full details about this dataset can be found at https://doi.org/10.5285/291ca8d7-6178-4e6f-98a5-f59225d884cd

Tags: Pakistan, nitrogen use efficiency
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) larger mobile macrofaunal abundance, biomass and species richness from fyke netting in mudflat habitats

The dataset details larger mobile fish and macrofaunal abundance across six intertidal sites in the winter and summer of 2013, sampled using fyke nets. The data provide a quantitative measure of larger mobile invertebrate and fish species present in fyke nets caught over two executive tidal cycles at three sites in Essex, South East England and three more sites in Morecambe Bay, North West England. At each site, 22 sampling quadrats were placed on the mud flat covering 4 spatial scales. At each of these, unbaited fyke nets were deployed perpendicular to the shore over two tidal cycles. Upon removal, the species were identified to species level and individuals counted. For each species wet weight (g) was calculated. 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/10.5285/778ac3e5-a796-46a0-8390-0b6527598d8b

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Bassenthwaite Lake, 1990 to 2013

This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling by the Centre for Ecology & Hydrology (and previously the Institute of Freshwater Ecology) at Bassenthwaite Lake in Cumbria, England. 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 5 m. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. All data are from August 1990 until the end of 2013. Full details about this dataset can be found at https://doi.org/10.5285/91d763f2-978d-4891-b3c6-f41d29b45d55

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Invertebrate community assembly data across a natural soil temperature gradient in Iceland from May-July 2015

This is a dataset of environmental variables, total invertebrate abundance, and mean invertebrate body mass, sampled at 60 soil habitat patches in the Hengill geothermal valley, Iceland, from May to July 2015. The habitat patches span a temperature gradient of 5 to 22 deg C on average over the sampling period, yet they occur within 2 km of each other and have similar soil moisture, pH, total carbon, and total nitrogen. Full details about this dataset can be found at https://doi.org/10.5285/e00770f3-4acf-4fd5-ba29-0a4dbdca09a4

Tags: Environmental Monitoring Facilities, Hengill, natural experiment, seasonal dynamics, temporal variability
Organization: Environmental Information Data Centre
Socioecological data from smallholder oil palm plantations in Perak, Peninsular Malaysia, 2021-2022

This dataset includes results from biodiversity, social and environmental surveys of 49 oil palm smallholders and farms in Perak, Malaysia. Biodiversity data includes sticky trap data on flying invertebrate abundance (identified to higher-level order), transect data on assassin bugs, Nephila spp. spiders and butterflies (identified to species), and data on mealworm removal from each plot. Environmental data includes soil temperature readings recorded over 24 hours, information on the size of the plot, crop type and cover, GPS location, vegetation cover, vegetation height, canopy density, epiphyte cover, soil pH, soil moisture, leaf litter depth, horizon depths, 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 December 2021 to July 2022 Full details about this dataset can be found at https://doi.org/10.5285/189164db-fe83-4b3f-b572-2fe99faba2d1

Tags: Environmental Monitoring Facilities, Perak, crop, smallholder, social, vegetation
Organization: Environmental Information Data Centre
Carbon and nutrient data for rainfall fractions in the Peruvian Amazon

Aquatic carbon (dissolved inorganic carbon (DIC), dissolved organic carbon (DOC) and particulate organic carbon and the carbon isotopic composition of DIC) and nutrients (calcium, magnesium, potassium, sodium, total soluble phosphorus and silica) in rainfall fractions (rainwater, throughfall, stemflow and overland flow) were sampled in the Western Amazonian basin. The samples were collected towards the end of a wet season April - May 2012. Rainfall and throughfall samples were collected in plastic buckets. Stemflow samples were collected using stemflow collection systems. Overland samples were collected using a a plastic pipe cut lengthways directing flow into a plastic bucket. Established standard methods were used to analyse the DIC, DOC and nutrients. These methods are outlined in the lineage. The samples were taken to understand the nutrient and carbon delivery in rainwater as well as leaching from tree canopies, stems and from the soil surface. The data collection was carried out as part of the Natural Environment Research Council (NERC) funded Amazonica project (NE/F005482/1). Full details about this dataset can be found at https://doi.org/10.5285/59bdb8f6-fb1f-418f-a53c-394f6c68a334

Tags: Amazon, Amazonia, Atomic Absorption Spectrometry (Perkin Elmer Analy, DIC, DOC, POC, Thermalox TOC 2020, Thermo-Fisher-Scientific Gas Bench/Delta V Plus , dissolved inorganic carbon, overland flow collectors, particulate organic carbon, stemflow collectors, throughfall collectors
Organization: Environmental Information Data Centre
Substrate utilisation profiles and moisture content data from soil sampled in an upland grassland experiment at Sourhope, Scotland [NERC Soil Biodiversity Programme]

These data comprise substrate utilisation profiles (using the BIOLOG gram-negative method) and moisture content data from soil sampled in an upland grassland experiment at Sourhope, Scotland. BIOLOG-GN (gram-negative) substrate utilisation analyses were used to give an indication of the ability of a subset of the bacterial community to utilise various carbon sources. These data include both temporal and spatial diversity in different depths of semi-natural grassland soil cores collected at different sample dates. Samples were collected in July 1999, October 1999, April 2000 and August 2000. Data were collected as part of the NERC Soil Biodiversity Thematic Programme, established in 1999 and centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute)'s farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). During this time, the site was monitored to assess changes in aboveground biomass production (productivity), species composition and relative abundance (diversity). Full details about this dataset can be found at https://doi.org/10.5285/c42b0e3b-69e4-4941-addf-20c2e0612c58

Tags: Scottish borders, Soil, Sourhope, microbes
Organization: Environmental Information Data Centre
Data from meteorological station next to Esthwaite Water, 2008 to 2011

This dataset consists of hourly air temperature and wind speed data from a meteorological station sited on top of a boat house, located in Cumbria, England, next to Esthwaite Water. Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2008 and 2011 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail. Full details about this dataset can be found at https://doi.org/10.5285/9411b86e-7f43-4249-b3c2-f5adb04447cb

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest 1998-2015

This dataset contains daily micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, North East Wales. It runs from 15/7/1999 until 30/06/2015, and contains air temperature (deg C), soil temperature (deg C) at two depths (5 and 20 cm) as well as soil moisture. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20-30 years. Full details about this dataset can be found at https://doi.org/10.5285/afb994e5-b33d-48b4-ad29-d374b1f9f3c8

Tags: Environmental Monitoring Facilities, Plot level data
Organization: Environmental Information Data Centre
Sediment records of the 2016-2017 flood from Notwane dam, Upper Limpopo basin, Botswana

The data set contains grain size distributions, organic matter (OM) contents and trace metals distribution metal distribution (Fe, Zn, Cu, Cr and Pb) of seven (7) shallow cores of sediments from the Notwane Dam (southern Botswana). The cores have been collected with a push corer using PVC pipes of 5 cm diameter by a team from BIUST led by Dr. Franchi between November 2017 and February 2018. The data were collected as part of the PULA project, which aimed at understanding the immediate effect of heavy rainfall and floods on water resources in arid Botswana and their transitional hydrologic readjustment towards the dry period, and the role of these events in supporting either or both resources replenishment and contamination. Grain size profiles of the cores have been obtained by analyzing wet sediments with a laser diffraction particle size analyzer. The OM content of the sediments was obtained by measuring the loss on ignition (LOI) of bulk sediments after calcination in a muffle furnace. The sediments have been analyzed for trace metal distribution using a Microwave Plasma-Atomic Emission Spectrometer (MP-AES). The grain size distribution has allowed to pinpoint the presence of flood couplets, characterized by coarse lags followed by fine grained materials. The trace metal distribution profiles have been compared with the flood couplets to assess the entity of metal mobilization during floods and subsequent droughts. Full details about this dataset can be found at https://doi.org/10.5285/022b3fff-55d7-46f5-b11f-2f7366e508b0

Tags: Notwane Dam, grain size, trace metals
Organization: Environmental Information Data Centre
Parentage assignments from a genetic pedigree of a wild population of banded mongooses in Queen Elizabeth National Park, Uganda, 2000-2019

The data contains the genetic identity of parents (maternal and paternal identities and assignment probabilities) identified from DNA extracted from tail tips analysed using the MASTERBAYES program, for individual banded mongooses in a wild population on the Mweya Peninsula, Queen Elizabeth National Park, Uganda between 2000-2019. A nine generation deep genetic pedigree was constructed from which maternity and paternity assignments were calculated. This data was used to calculate lifetime reproductive success for individuals in the population who were exposed to conflict with rival groups to determine the fitness costs and benefits of intergroup conflict. In addition the type of microsatellite panel used to genotype the DNA samples is recorded. Full details about this dataset can be found at https://doi.org/10.5285/f397e842-b411-4256-b507-a4aa4647b914

Tags: Parentage, banded mongoose, genetic pedigree, social evolution
Organization: Environmental Information Data Centre
Countryside Survey 1990 mapped estimates of linear feature lengths in Great Britain

This dataset consists of stock (length) data for linear features across Great Britain in 1990 in a vector format. The data are national estimates generated by analysing the sample data from 508 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as mean lengths per 1km square for seven different feature categories within 45 different land class types, based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. 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 linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/ce514508-bd25-403e-bb35-42001e3c2b25

Tags: Great Britain, Habitats and Biotopes, banks, fences, grass strips, hedges, tree lines, walls
Organization: Environmental Information Data Centre
Carbon concentrations in natural and restoration pools in blanket peatlands in Scotland, 2013-2015

[THIS DATASET HAS BEEN WITHDRAWN]. Dataset contains water chemistry data (pH, conductivity, dissolved carbon, dissolved gases, absorbance) from natural and artificial/restoration peat pools in Scottish peatlands. Water samples were collected seasonally from three sites, and more frequently (up to weekly) from one site, within the Flow Country. This work was supported by the Natural Environment Research Council award number NE/J007609/1 Full details about this dataset can be found at https://doi.org/10.5285/e27124dd-aef2-4fa8-b90d-32b782e21ff7

Tags: Carbon, DOC, Environmental Monitoring Facilities, Peat pools, Restoration, Soil solution
Organization: Environmental Information Data Centre
Groundwater microbiology and chemistry of shallow wells, boreholes and springs in Kisumu, Kenya in 2014

This dataset contains free residual chlorine, turbidity, nitrate, chloride, sulphate, fluoride, phosphate and thermatolerant coliform concentrations in groundwater from a variety of sources within two neighbourhoods of Kisumu, Kenya. A total of 73 groundwater sources were tested between February and March 2014. The data were collected as part of the Groundwater2030 project, which aims to reduce the health problems that result from consumption of contaminated groundwater in urban areas of Africa. The project was co-ordinated by the University of Southampton, with partners at the University of Surrey, the Victoria Institute of Research on Environment and Development (VIRED) International, and the Jaramogi Oginga Odinga University of Science and Technology. The project was funded by the Natural Environment Research Council and the Department for International Development as part of the Unlocking the Potential of Groundwater for the Poor (UPGro) programme. Full details about this dataset can be found at https://doi.org/10.5285/4062e6d9-2e90-4775-87f1-179dea283ef1

Tags: Manyatta, Migosi, latrines
Organization: Environmental Information Data Centre