AndreaBozzo/ceres-open-data-index huggingface dataset:
Policy interviews on trypanosomiasis in Zambia, 2013

This resource contains anonymised policy interviews on trypanosomiasis in Zambia from 2013 conducted by Catherine Grant (Institute of Development Studies) and Noreen Machila (University of Zambia, Department of Disease Control). These interviews explore the differing opinions of various stakeholders in relation to trypanosomiasis, a widespread and potentially fatal disease spread by tsetse flies which affects both humans and animals. It is an important time to examine this issue as human population growth and other factors have led to migration into new areas which are populated by tsetse flies and this may affect disease levels. This means that there is a greater risk to people and their livestock. Opinions on the best way to manage the disease are deeply divided (Source: Author Summary- Grant, C, Anderson, N and Machila, N [Accepted] Stakeholder narratives on trypanosomiasis, their effect on policy and the scope for One Health, Public Library of Science Neglected Tropical Diseases (PLOS NTD). This was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC) and these interviews contributed to this consortium. The research was funded by NERC project no NE/J001570/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Full details about this dataset can be found at https://doi.org/10.5285/727c1c4e-e097-44a4-abc7-74a4cc9acbfc

Tags: Dynamic Drivers of Disease in Africa Consortium (D, Narratives, Policy, Stakeholder, Tetse fly, Trypanosomiasis
Organization: Environmental Information Data Centre
Greenhouse gas and water chemistry measurements for the Clyde river, tributaries and estuary, 2021-2022

Greenhouse gas (GHG) concentrations and physio-chemical water properties are available for a two-year period (January 2020 - December 2021) across twenty-six locations in the River Clyde and its tributaries and two locations within the Clyde estuary to support understanding of the GHG sources and sinks and their associated mechanisms in the Clyde catchment. Full details about this dataset can be found at https://doi.org/10.5285/c3527258-c9ab-40d9-af0c-ddedabbd67a1

Tags: Hydrography, River Clyde catchment , Scotland, UK, nitrous oxide, riverine
Organization: Environmental Information Data Centre
Wild rodent trapping, tracking and sampling for genetics and gut microbiome, Silwood Park, Berkshire, November 2014 to November 2015

This data set is a combination of trapping data, tracking data and data on the genetic relatedness and gut microbiome composition of wild rodents caught in 2.3 ha study site in Nash’s Copse, Silwood Park, from November 2014 to November 2015. As part of a longer-term capture-mark-recapture study, three species of rodents were trapped with Sherman live-traps fortnightly for 12 months: wood mouse (Apodemus sylvaticus), yellow-necked mouse (Apodemus flavicollis) and bank vole (Myodes glaerolus). Upon capture, they were measured, weighted, sexed, aged and a tissue sample and a faecal sample were collected from all mouse individuals for genetic and microbiome analyses. All rodents were released to their location of capture. First time each individual was captured, they were injected with a permanent subcutaneous identification Radio-Frequency Identification(RFID)-tag (Passive Integrated Transponde-tag). The tagged rodents were subsequently tracked with a set of custom-made tracking devices (loggers). Loggers produced dense time-stamped occurrence data suitable for inferring spatio-temporal activity patterns of rodents, such as temporal niches, home ranges and social networks. Tissue samples were used to genotype the wood mouse population and bacterial DNA extracted from faecal samples were used to profile their gut microbiome composition. This work was funded by a NERC independent Research Fellowship to Sarah Knowles (NE/L011867/1) Full details about this dataset can be found at https://doi.org/10.5285/c67fde7f-a1c8-4cb4-a76e-0c6d21c82222

Tags: Apodemus, Environmental Monitoring Facilities, Microbiome, Myodes, RFID-tracking, Sherman, bank vole, gut microbiome, home range analysis, kinship, microbiota, microsatellites, mouse, pedigree, social network analysis, trapping, wood mouse, yellow-necked mouse
Organization: Environmental Information Data Centre
Early life asymmetries and the allocation of cooperative care in banded mongooses in Queen Elizabeth National Park, Uganda 2013-2016

This is a dataset of the effect of pre-natal provisioning (supply with extra food) on offspring weight and growth, contributions to offspring care, and offspring survival in banded mongooses on the Mweya Peninsula, Queen Elizabeth National Park, Uganda, collected between 2013 and 2016. Pre-natal condition of females was experimentally manipulated by provisioning half of pregnant females in each social group during the second half of pregnancy. The other half of pregnant females did not receive any extra provisioning and acted as matched controls. Through field observations we measured female weight change during pregnancy, weight change during the pup care period following birth (the escorting period), and female contributions to escorting. We also measured pup weight at birth, weight change during the escorting period, and pup survival. Data were collected to examine how extra resources are used by females to level up inequalities in pup weight via the allocation of cooperative care. Full details about this dataset can be found at https://doi.org/10.5285/9c5ce831-aeda-4a59-950f-921f820d28b7

Tags: Early-life asymmetries, banded mongoose, cooperation, escorting
Organization: Environmental Information Data Centre
Plant biomass and leaf-level functional traits from four different genotypes of sugarcane plants grown under a range of ozone conditions

This dataset contains measurements of plant biomass and leaf-level functional traits from sugarcane plants of four different genotypes that were grown under different ozone (O3) conditions in Open Top Chambers for approximately 90 days. It also contains the calculated phytotoxic ozone dose for each of the four genotypes, the O3 concentration measurements and the environmental conditions (air temperature, relative humidity, and photosynthetically active radiation). The four genotypes tested were: Saccharum officinarum L. cv. Badila, Saccharum spontaneum cv. Mandalay, Q240, and CTC4. Full details about this dataset can be found at https://doi.org/10.5285/68adb7d4-6138-4d70-b469-2471349b331a

Tags: C4 grasses, O3, bioenergy, sugarcane
Organization: Environmental Information Data Centre
Qualitative data on socio-economic characteristics from ten villages in Gurue, Mozambique

This dataset contains the transcripts of interviews and discussion groups from ten villages in the Gurue district, Zambezia province, Mozambique. The ten villages were selected from a land scarcity gradient running from villages with abundant land to those with intense land constraints, mainly driven by expanding agricultural activities and population density. The villages had similar infrastructure, soils, rainfall, and vegetation types. The dataset contains information on participatory mapping of the village characteristics, seasonality, how agricultural activity has changed over time (trend analysis), wealth ranking within the villages and differences between wealth statuses, and profiles/characteristics of each village. Interviews were conducted with groups in each village or the leader of the village, between July and December 2015. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Full details about this dataset can be found at https://doi.org/10.5285/f82f7ad8-0e98-41cb-951e-be64ffd36078

Tags: ACES, ESPA programme, soya
Organization: Environmental Information Data Centre
Simulations of Emerald Ash Borer (EAB) spread in Great Britain with optimised surveillance

This dataset contains a model, input data and outputs of the Emerald Ash Borer (EAB; Agrilus planipennis) lifecycle and spread across Great Britain. Nine different scenarios are considered related to how certain we are that EAB will arrive through known pathways related to wood imports (70%, 50%, 30%) and the probability that EAB would escape at port rather than at the onwards depots (25%, 50%, 75%). The model outputs can be used to predict the best places to locate surveillance technologies (i.e., girdled trees or traps) and included in this dataset are optimised trap locations for 27 scenarios (three trapping types for each of the nine different scenarios). Full details about this dataset can be found at https://doi.org/10.5285/6209742a-bfd6-4fbc-9b40-29d7d75d57b4

Tags: Environmental Monitoring Facilities, Great Britain, optimal sampling locations, simulated spread
Organization: Environmental Information Data Centre
Modelled vegetation carbon, temperature and rainfall for Great Britain 1997-2099 under four climate and CO2 scenarios

This dataset contains modelled vegetation carbon output from the land surface model JULES, along with the temperature and rainfall outputs (which were originally inputted) at a monthly, 1.5km resolution. There are four different JULES simulations, using two different climate projections (global climate sensitivity of 3.5K and highest global climate sensitivity of 7.1K) under a constant, present day atmospheric CO2 and a CO2 pathway that follows the SRES (Special Report on Emissions Scenarios) A1B scenario. Full details about this dataset can be found at https://doi.org/10.5285/f493ad5c-585c-475d-a374-2f77b5866bc4

Tags: Environmental Monitoring Facilities, GB, Meteorological geographical features, rainfall, temperature, unmitigated climate change, vegetation carbon
Organization: Environmental Information Data Centre
Daily automated weather station (AWS) data from Climoor field site in Clocaenog Forest 2015-2016

This dataset combines daily automated weather station (AWS) from the Climoor field site in Clocaenog forest, North East Wales The data are on relative humidity (percent), air temperature (degrees Celsius), rainfall (millimetres), air pressure (millibars), net radiation (millivolts), solar radiation (Kilowatts per square metre per second), photosynthetic active radiation (PAR), (micromol per square metre per second), wind speed (metres per second) and wind direction (degrees). These data are an extension for the Daily automated weather station dataset (1998-2015) for the time period July 2015 to August 2016. Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Data are recorded in minute intervals. Up to January 2016 the data were averaged hourly, after January 2016 data were averaged half hourly. Data are then to averaged to daily values, which are reported here. Data collection, processing and quality checking was carried out by members of CEH Bangor staff. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development with time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field. Full details about this dataset can be found at https://doi.org/10.5285/3a88f547-376d-4a7e-8817-9b5f9ccd5b82

Tags: AWS, Automatic Weather Station, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Land Cover Map 2023 (land parcels, N. Ireland)

This is a vector data set representing the land surface of Northern Ireland, 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 datasets 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 LCM2023 products are available from the LCM2023 product documentation. Full details about this dataset can be found at https://doi.org/10.5285/0ff4958d-47bc-4260-9aaf-399de3b83b6f

Tags: Biodiversity Action Plan, Land Cover, Northern Ireland
Organization: Environmental Information Data Centre
Soil metals data 1998 [Countryside Survey]

This dataset consists of metal concentrations measured from soils sampled across Great Britain in 1998. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, 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 soil data, habitat areas, vegetation species 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/def15f47-6aba-43db-a833-5844628a658b

Tags: Countryside Survey, Soil
Organization: Environmental Information Data Centre
Land Cover Map 2000 (25m raster, N. Ireland)

This dataset consists of a 25m resolution raster version of the Land Cover Map 2000 for Northern Ireland. Each 25m pixel represents a 25m area of land cover target class, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Full details about this dataset can be found at https://doi.org/10.5285/b93de9e7-176b-49cb-92aa-4eccdb72aac1

Tags: Habitats, Land Cover
Organization: Environmental Information Data Centre
Spatial mapping of surficial soil organic carbon storage and stocks across Great British saltmarshes

The geospatial dataset maps organic carbon (OC) storage (kg OC m-2) and OC stocks (tonnes OC) of surficial soils across 438 Great British saltmarshes. The OC density for the surficial soils (top 10 cm) is mapped across 451.65 km2 of saltmarshes, identified from current saltmarsh maps of Great Britain’s three constituent countries; Scotland, England and Wales The spatial maps are built upon surficial (top 10 cm) soil bulk density and carbon data produced by the NERC C-Side project and Marine Scotland data combined with existing saltmarsh vegetation maps. 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/cb8840f2-c630-4a86-9bba-d0e070d56f04

Tags: C-SIDE, England, Habitats and Biotopes, Scotland, United Kingdom, Wales, cores, dry bulk density, stock, storage, substrate
Organization: Environmental Information Data Centre
A systematic florula of a disturbed urban habitat, Sheffield, England: Plant occupancy data

Plant occupancy data from a survey of a disturbed urban habitat. The survey is an occupancy study of the vascular plants of 16 500 x 500 m (0.25 km2) urban grid cells, stratified by quadrant at the scale of the focal city (Sheffield, England) in order to provide more even coverage. Few systematic, randomised surveys at fine spatial grain exist for urban habitats, and even fewer of these surveys are in the public domain. This study was designed as a systematic florula (i.e. a small flora) of a relatively discrete urban habitat in order to provide a baseline that would enable robust insights into future environmental change. In addition, the dataset is likely to be useful for comparative studies of plant traits, particularly those of highly disturbed habitats. Full details about this dataset can be found at https://doi.org/10.5285/705d6e39-9b04-497d-b8e8-4f617f3a6477

Tags: Environmental Monitoring Facilities, pavement, quadrats, urban
Organization: Environmental Information Data Centre
Multi-temporal aerial imagery of rivers in the Philippines, 2019-2020

The data set contains multi-temporal aerial imagery for two river segments in the Philippines. Imagery covers: (i) the downstream segment of the Bislak River and (ii) the confluence of the Abuan, Bintacan and Pinacanauan de Ilagan Rivers (referred to as ‘Ilagan’ in this data resource). Repeat aerial surveys were completed in 2019 and 2020. The data coverage includes the river channels, floodplains and surrounding areas. Raw aerial images were processed to produce spatially corrected orthoimagery (see supporting documentation). The resulting orthoimagery has a 0.2 m spatial resolution, containing information on the red, green and blue (RGB) bands. The work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312. Full details about this dataset can be found at https://doi.org/10.5285/e040ff39-2176-4ed4-9e5d-861bdae8a030

Organization: Environmental Information Data Centre
Soil and vegetation radionuclide activity concentrations and calculated dose rates from the Red Forest, Chernobyl, Ukraine, 2016-2017

Data comprise plot details and radionuclide activity concentrations for Sr-90, Cs-137, Am-241, Pu-238, Pu-239 and Pu-240 in ‘grassy’ vegetation and soil. These radionuclide activity concentrations have been used to make estimations of total weighted absorbed doses to grassy vegetation, deciduous trees and bacteria; no dose rate estimates for grassy vegetation have been made for those sites where grassy vegetation was absent. Radiation from the 1986 Chernobyl nuclear power plant accident killed coniferous trees in a 4-6 km2 area of forest to the west of the power plant. This area is now known as the 'Red Forest’ and it has subsequently regenerated with understorey vegetation and deciduous trees; it is the most anthropogenically contaminated radioactive ecosystem on Earth. In July 2016 a severe fire burnt (to varying degrees) c. 80 percent of the Red Forest; this presented a unique opportunity to study the impact of radiation on the recovery of forest ecosystems exposed to a secondary stressor (fire). To investigate this, in September 2017 the RED FIRE project set up sixty study plots in the Red Forest (in burnt and unburnt areas) with a further nine plots established close to Buriakivka village (approximately 8 km from the Red Forest). Vegetation samples from each plot were harvested using shears in September 2017. Each sample was sorted into ‘grassy’ and ‘other’ vegetation; these were air-dried (20-25 degrees Celsius) and the grassy vegetation samples homogenised prior to radionuclide analyses. Soil core samples collected in September 2017 were bulked, homogenised and sub-samples taken for determination of pH and percentage moisture determined by oven drying (approximately 60 degrees Celsius) to a constant mass. The remaining soil sample was used for the determination of radionuclide activity concentrations; prior to analyses, these samples were dried at approximately 80 degrees Celsius. This work was funded by the NERC, Grant Ref: NE/P015212/1 (RED FIRE: Radioactive Environment Damaged by fire: a Forest In Recovery) Full details about this dataset can be found at https://doi.org/10.5285/60782622-7bfa-4615-a9e3-0a802a9f4674

Tags: Chernobyl, Chornobyl, Environmental Risk from Ionising Contaminants: Ass, MKS-01R meter, Plot experiment, RED FIRE, Red Forest, high-purity germanium γ-detector , radionuclide activity, β-spectrometer 
Organization: Environmental Information Data Centre
Ensemble outputs among contemporary ecosystem service models for water supply and aboveground carbon storage in the UK following 10 different methods

This data set contains UK-wide maps of ten different among-model ensemble approaches for two services: above ground Carbon stock and water supply. The data for Carbon comes as fourteen TIF maps for above ground carbon storage at a 1-km2 resolution with associated world files: ten approaches, with a double option for two of those, together with maps of variation among models and among ensembles. For water, the data comes as one shapefile with polygons per watershed, each polygon containing these fourteen estimates. For all maps, 600dpi jpg depictions are added to the supporting information. Directory location independent layer files are included to aid scaling and providing the colour palettes. Ensemble output maps were calculated with different approaches following the supporting documentation and associated publication. Uncertainty estimates for these services are included as variation among contributing model outputs and among the employed ensemble approaches. The work was completed under the ‘EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models’ project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme. Full details about this dataset can be found at https://doi.org/10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38

Tags: Hydrography, Land Cover, United Kingdom, ensemble modelling, weighted averaging
Organization: Environmental Information Data Centre
Nitrous oxide emissions and associated microbial diversity, soil biochemical properties and crop growth and yield from a field trial of winter barley with the addition of microplastics, Abergwyngregyn, UK, 2020-2021

This dataset contains field data on nitrous oxide (N2O) emissions, microbial community composition, crop yield and growth and soil biochemical properties. The field trial consisted of three different treatments of control, conventional microplastic addition and biodegradable microplastic addition where winter barley was grown. The data presented are from field and laboratory measurements. Data was collected by the data authors. The field trial was carried out from September 2020 to July 2021 at Henfaes Field Centre, UK. Research was funded through NERC Grant NE/V005871/1. Do agricultural microplastics undermine food security and sustainable development in developing countries? Full details about this dataset can be found at https://doi.org/10.5285/a5410834-1c38-455b-a850-3fb3434d4bb0

Tags: Bioplastic, Environmental Monitoring Facilities, synthetic plastic
Organization: Environmental Information Data Centre