AndreaBozzo/ceres-open-data-index huggingface dataset:
Bird community data from Wallacea biogeographic region collected 2018-2020

Bird community data from fixed point count stations generated by experienced ornithologists in Borneo and the Wallacean islands of Sulawesi (Buton), Seram, Buru, Talaud and Sangihe. Bird surveys were undertaken between 2016 and 2020, with work on any given island lasting ~3 months, except for Borneo where surveys were undertaken across 3 years (2014 – 2016). Surveys were repeated four times at each site on Sulawesi (Buton), Seram, Buru and once each on Talaud and Sangihe. The dataset comprises the aggregated counts from multiple surveys of the same point count sites, and assigned to individual bird species, landscape and island. Full details about this dataset can be found at https://doi.org/10.5285/87f36a61-ca79-40c6-b781-8936ead162cc

Tags: Wallacea, avian biogeography, beta-diversity, biotic homogenisation, bird community
Organization: Environmental Information Data Centre
Economic and social science questionnaire dataset, Mambwe District, Zambia (2013)

This dataset contains the results of 211 household surveys conducted in Mambwe District, Zambia, as part of a wider study looking at human and animal trypanosomiasis and changing settlement patterns in the area. The interviews were conducted from June 2013 to August 2013. The objective of the survey was to set the health of people and their animals in the context of overall household wellbeing, assets and access to resources. The topics covered included household demographics, human and animal health, access to and use of medical and veterinary services, livestock and dog demographics, livestock production, human and animal contacts with wildlife, crop and especially cotton production, migration, access to water and fuel use, household assets and poverty, resilience and values. The dataset has been anonymised by removing names of respondents, Global Positioning Satellite (GPS) location of their homes and names of interviewers. Household numbers were retained. Written consent was obtained prior to commencing all interviews. This research was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC), and these data contributed to the research carried out by the consortium. The research was funded by NERC 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/b1647138-49f5-4777-a39d-e7359bf7b98d

Tags: DDDAC, Dynamic Drivers of Disease in Africa Consortium, ESPA, Ecosystem Services for Poverty Alleviation Program, Household interview , Luangwa valley, Trypanosomiasis , Veterinary science, Well-being , Zoonotic disease
Organization: Environmental Information Data Centre
Soil biological activity in the Chornobyl Exclusion Zone, Ukraine in September 2016, March 2017 and September 2017 following a severe wildfire in July 2016

Data comprise site location, soil chemistry information (pH, soil moisture, Loss on Ignition (LOI)), an estimate of ground burn extent and soil biological activity (derived from application of bait lamina sticks) at 23 sites in the Chornobyl Exclusion Zone (CEZ), Ukraine in September 2016, March 2017 and September 2017; there were three replicate plots at each site. The estimated ambient dose rate at each plot is also provided. The primary purpose of these data was to enable an evaluation of the potential impact of wildfire on soil organisms. The work was carried out by UKCEH, Chornobyl Centre for Nuclear Safety and the University of Salford. Funding for this work was via the NERC REDFIRE project (NE/P015212/). Full details about this dataset can be found at https://doi.org/10.5285/7833bdf5-3e85-44d3-8e7d-c9bf0632e38b

Tags: Annelid, Chernobyl, Chornobyl, Detritivore, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: site indices 2024

This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the population size, being a more or less constant proportion of the number of butterflies present. The proportion seen is likely to vary according to species; some butterfly species are more conspicuous and thus more easily detected, whereas others are much less easy to see. Site indices are only calculated at sites with sufficient monitoring visits throughout the season, or for targeted reduced effort surveys (timed observations, larval web counts and egg counts) where counts are generally obtained as close to the peak of the flight period as possible and are subsequently adjusted for the time of year and size of the site (area of suitable habitat type for a given species). Wider Countryside Butterfly Survey (WCBS) sites are thus excluded because they are based on very few visits from which indices of abundance are not calculated. For transect sites, a statistical model (a General Additive Model, 'GAM') is used to impute missing values and to calculate a site index. Each year most transect sites (over 90%) produce an index for at least one species and in recent years site indices have been calculated for over 2,000 sites across the UK. Site indices are subsequently collated to contribute to the overall 'Collated Index' for each species, which are relative measures of the abundance of each species across a geographical area, for example, across the whole UK or at country level for England, Scotland, Wales or Northern Ireland. Individual site indices are important in informing conservation management as not all sites show the same patterns for each species and likely reflect a combination of local climate and habitat management at the site. 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. Full details about this dataset can be found at https://doi.org/10.5285/53a1c705-4437-48bb-9bcd-b68977f8edd9

Tags: BReVI, Environmental Monitoring Facilities, Leipdoptera, annual, butterflies
Organization: Environmental Information Data Centre
Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2020, v2

This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 48 x 1-km squares across Great Britain in 2020 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration. The UKCEH 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 UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the 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, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey. 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/10.5285/6a3382cc-f5f4-4d68-9517-c62fadd8af4f

Tags: Environmental Monitoring Facilities, Great Britain, SOC, Soil, UK-SCAPE, derived carbon concentration, fine earth volumetric water content, soil bulk density of fine earth, soil pH
Organization: Environmental Information Data Centre
Cloud and rain pollutant concentration and deposition data at Bowbeat, Peebles, 2003-2006

This dataset provides weekly pollutant concentration and deposition data in cloud and rain samples from the, now retired, Bowbeat field site near Edinburgh, UK. The data were captured approximately weekly between 03/09/2003 and 28/06/2006 using a cloud droplet collector and rainwater collector. They were collected to monitor and model cloud/rain water composition and deposition at high elevation as part of ongoing routine measurements. Full details about this dataset can be found at https://doi.org/10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1

Tags: Atmospheric Conditions, Cloud chemistry, Pollutant Concentration, Rain chemistry, Seeder-feeder effect
Organization: Environmental Information Data Centre
Campanula rotundifolia cytotype, distribution and first flowering dates v2

Data were collected to determine the geographic distribution of different cytotypes of Campanula rotundifolia L. Most sampling concentrated on Britain and Ireland, but samples from mainland Europe, the Russian Federation and North America were also analysed. Following these observations, a common garden study of tetraploid, pentaploid and hexaploid cytotypes representative of Britain and Ireland was set up at a CEH Edinburgh (where the local cytotype is tetraploid), to determine whether climatic factors were limiting the distribution of the hexaploid cytotype through effects on growth, survival or flowering phenology. The geographic distribution study ran from 2006-2019. The common garden study ran from 2008-2010. Full details about this dataset can be found at https://doi.org/10.5285/673b2b31-562c-4604-8776-4a92988867b8

Tags: Environmental Monitoring Facilities, Harebell
Organization: Environmental Information Data Centre
High-resolution Global Multi-Index Drought (GMID) dataset, 1980-2024

Here, we present the Global Multi-Index Drought (GMID) dataset, which includes some of the most used and widely recommended standardised drought indices: the Standardized Precipitation Index (SPI), the Evaporative Drought Demand Index (EDDI), the Standardized Precipitation Evapotranspiration Index (SPEI), the Standardized Evapotranspiration Deficit Index (SEDI), and the Standardized Vapor Pressure Deficit Index (SVPDI). This dataset is available on a global scale covering 1-12, 18, 24, 48-month time scales for the period 1980 to 2024, with high spatial (0.1 degrees) and temporal (weekly and monthly) resolution. GMID was generated using different meteorological input datasets, including: Multi-Source Weighted-Ensemble Precipitation (MSWEP) v2.8 (https://www.gloh2o.org/mswep/), Global Land Evaporation Amsterdam Model (GLEAM) v4.2a (https://www.gleam.eu/), and Multi-Source Weather (MSWX) vMSWX-Past (https://www.gloh2o.org/mswx/). The GMID dataset is provided weekly and monthly, including two versions of the five drought indices: one generated using the "reference" approach (i.e., based on the probability distribution typically recommended in the literature for calculating these drought indices), and another using the "best-fit" approach (i.e., based on the probability distributions that provide better normalised resulting series for each case). GMID represents a comprehensive and robust global long-term dataset for drought (and flash drought) assessment, which will be further updated annually as input data become available. Full details about this dataset can be found at https://doi.org/10.5285/f5ce92b0-03e8-4719-82ff-c62e6ebe927b

Tags: Atmospheric Conditions, Evaporative Drought Demand Index (EDDI), Standardized Evapotranspiration Deficit Index (SED, Standardized Precipitation Evapotranspiration Inde, Standardized Precipitation Index (SPI), Standardized Vapor Pressure Deficit Index (SVPDI), flash drought, multiscalar, standardized drought indices
Organization: Environmental Information Data Centre
Long-term multisite Scots pine trial, Scotland: annual Dothistroma needle blight surveys, 2015-2025

The dataset contains disease survey data for Scots pine trees in a long-term progeny-provenance common garden trial planted in three sites in Scotland. Trees were originally collected from 21 provenances of native Caledonian pinewood from across the native range in Scotland. Disease surveys were performed annually between August and September from 2015 to 2025 (excluding 2019 and 2020) for one site (FS) and in 2016 and 2022 for two sites (FE and FW). Susceptibility to Dothistroma needle blight (DNB, caused by Dothistroma septosporum) for each tree was estimated by recording two traits: 'direct susceptibility' (estimated percentage of needles with lesions) and 'indirect susceptibility' (estimated years needle retention). Indirect susceptibility was recorded to ensure needle loss associated with susceptibility to DNB was also captured. In addition to annual measures of susceptibility, long-term susceptibility was also estimated for each tree. Full details about this dataset can be found at https://doi.org/10.5285/c3b45aac-a497-4e57-9ee0-8cdd8677f5de

Tags: Caledonian pinewood, Common garden experiment, Dothistroma needle blight, Dothistroma septosporum, Environmental Monitoring Facilities, Pinus sylvestris, Scots pine, Tree health
Organization: Environmental Information Data Centre
Great tit behavioural responses to 3D-printed insect replicas, featuring combinations of traits from wasps and flies, in Madingley Wood, Cambridge, UK, 2021-2023

This dataset relates to two closely related experiments conducted using similar methodologies: one - Discrimination Ability experiment - from December 2021 to May 2022 and another - Multiple Models experiment - from October 2022 to April 2023. Data describe the responses of wild birds (mainly Great tits Parus major) towards feeding stations where insect-like stimuli concealed a possible food reward. Data include: Passive Integrated Transponder (PIT) tag records of birds visiting the feeders (note that not all birds were tagged); demographic information about the tagged birds; timings and set-up of the feeders used at each session; and which stimuli from each session were “attacked” (and in what order). Full details about this dataset can be found at https://doi.org/10.5285/a1c9b0cc-5585-49c5-a38f-fe05240edccf

Tags: Batesian mimicry, Habitats and Biotopes, Syrphidae, great tit, hoverfly, learning, predation, visual discrimination, wasp
Organization: Environmental Information Data Centre
Data from automatic water monitoring buoy from Windermere south basin, 2012 to 2015

This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Windermere South Basin, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 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/e68063b9-2e52-44df-8b6f-a3deb37b76cb

Tags: Environmental Monitoring Facilities, temperature profile
Organization: Environmental Information Data Centre
UK Environmental Change Network (ECN) rabbit and deer data: 1993-2015

Rabbit and deer data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected by transect at ECN's terrestrial sites using a standard protocol. The protocol uses an index method based on dropping counts (of deer, rabbits - and where appropriate sheep and Grouse) to estimate relative abundance. They represent twice-yearly continuous records from 1993 to 2015. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/0be0aed3-f205-4f1f-a65d-84f8cfd8d50f

Tags: Alice Holt, Drayton, Environmental Change Network, Environmental Monitoring Facilities, Glensaugh, Hillsborough, ILTER, LTER, North Wyke, Rothamsted, Sourhope, Wytham, Yr Wyddfa - Snowdon
Organization: Environmental Information Data Centre
Susceptibility of native Scots pine (Pinus sylvestris) to Dothistroma septosporum following natural inoculation at Torrs Warren, Galloway 2013-2015

Data collected from a progeny-provenance trial to examine Dothistroma needle blight (DNB) infection in native Scottish populations of Scots pine. Data include multiple infection assessments and height measurements and a single chlorophyll fluorescence measurement, record of branching and a defoliation assessment for each tree in the trial plus measurements of individual infected needles (length of lesions, number of lesions per needle, length of needle). The trial was transplanted from CEH Edinburgh in April 2013 to Torrs Warren forest, Galloway, a site known to be infected with Dothistroma needle blight (DNB), caused by Dothistroma septosporum. The experiment ran until September 2015 with infection assessments (% estimated DNB severity per tree) performed roughly every 6 months from September 2013. Full details about this dataset can be found at https://doi.org/10.5285/99e028cc-4c3c-490b-bade-b9ef062a16e8

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Windermere pike male gonad weight data (1945 to 1996)

This dataset consists of estimated gonad weight and associated data on male pike (Esox lucius) from net sampling in Windermere, Cumbria. Data collection began in 1945. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989. Full details about this dataset can be found at https://doi.org/10.5285/c1114f67-c307-4aab-9299-95d4fbbdd53f

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Extensive vegetation and soil surveys from multiple sites in boreal forests of subarctic Canada, 2013-2014

The dataset contains a stratified survey of ecological and soil states at sites where fine scale patterns of covariation between vegetation and edaphic characteristics were recorded. Key data collection included leaf area index, moss and organic matter thickness, surface and deeper soil moisture. Data were collected at sites in the Yukon (2013) and Northwest Territories (2014), Canada. Full details about this dataset can be found at https://doi.org/10.5285/36f4e380-d01d-44a7-8321-7a677e6996b2

Tags: Canada, boreal forest, leaf area index
Organization: Environmental Information Data Centre
Tree census and diameter increment in fertilised plots in the Central Amazon, 2017–2020

The dataset contains the Diameter at Breast Height (DBH) of trees > 10 cm along with botanical identification (family and species). Data were obtained via forest inventories, in annual campaigns (from 2017 to 2019) conducted in May, with exception of the first campaign, which was from June to November, due to the species identification activity. The research was conducted in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil. The dendrometer dataset contains the distance in circumference (mm) from a window on the dendrometer band installed in the tree and measured with a digital caliper, where that distance changes when the trunk grows. Dendrometric bands data were collected from April 2018 to January 2020. Full details about this dataset can be found at https://doi.org/10.5285/c2587e20-ba4a-4444-8ce9-ccdec15b0aa3

Tags: Central Amazon, Stem growth, increment
Organization: Environmental Information Data Centre
Hydraulic and hydrological data from surface and subsurface soils across the Thames catchment, UK, 2021

This dataset contains information about surface and sub-surface hydraulic and hydrological soil properties across the Thames (UK) catchment. Soil dry bulk density, estimated soil porosity, soil moisture and soil moisture retention (to 100 cm suction) were determined through laboratory analysis of soil samples collected at five depths between the surface and 100 cm below ground level (where possible). Surface soil infiltration rates were measured, and soil saturated hydraulic conductivity was calculated at 25 cm and 45 cm depths (where possible). Field scale point data were collected at seven sites in the Thames Catchment, with three sub-groups of sites under different land use and management practices. The first land management group included three arable fields in the Cotswolds, Gloucestershire, on shallow soils over Limestone with no grass in rotation, herbal leys in rotation or rye and clover in rotation. The second group included two arable fields in near Wantage, Oxfordshire, on free draining loamy soils over chalk with conventional management or controlled traffic. The final group included a permanent grassland and broadleaf woodland on slowly permeable soil over mudstone near Oxford, Oxfordshire. Data were collected in representative infield areas; trafficked areas (e.g. tramlines or animal tracks), and untrafficked margins. Samples and measurements were taken between April 2021 and October 2021, with repeats taken before and after harvest. Soil samples were collected using Eijkelkamp 07.53.SC sample ring kit with closed ring holder and the Edelman auger and Stony auger when required. Infiltration measurements were taken using Mini Disk Infiltrometers. Soil saturated hydraulic conductivity was measured using Guelph permeameters. Soil bulk density and porosity were calculated using oven drying methods. Soil moisture retention was calculated using an Eijelkamp Sandbox. This dataset was collected by UKCEH as part of the 'Land management in lowland catchments for integrated flood risk reduction' (LANDWISE) project. LANDWISE seeks to examine how land use and management can be used to reduce the risk of flooding for communities. LANDWISE is one of three projects comprising the Natural Environment Research Council Natural Flood Management Research Programme. The work was supported by the Natural Environment Research Council Grant NE/R004668/1. Full details about this dataset can be found at https://doi.org/10.5285/a32f775b-34dd-4f31-aafa-f88450eb7a90

Tags: England, Environmental Monitoring Facilities, LANDWISE, Land Use, Land management, Soil, Soil bulk density, Soil infiltration rate, Soil moisture retention, Soil porosity, Soil properties, Soil saturated hydraulic conductivity, Sub-surface, Surface, Thames catchment
Organization: Environmental Information Data Centre