cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/d31bcee5-736b-4aed-bda2-c11cacd5dfc7
title: Plant species cover and carabid beetle species counts, 2018, and bird species counts, 2019, in native reforestation, unforested and mature forest areas in the Scottish Highlands

description: Plant and carabid beetle survey data was collected in the summer of 2018 and bird survey data in the summer of 2019 in Glen Affric and Glen Moriston in the Scottish Highlands.  Data was collected using a 10 × 10 m plot in each reforestation site for plants and carabid beetles and a 50 m radius plot for birds. The same data was collected in a matched plot in an unforested, grazed area associated with each site and in a matched plot in an unforested area within the fenced site. Five pairs of plots were established in grazed and ungrazed mature Caledonian pineforest, the target of reforestation, to assess the value of the reforestation sites for biodiversity, relative to the unforested state and the target habitat.
description: The sampling design is hierarchical. Sites are the fourteen focal reforestation sites, all sites have associated unforested areas and three sites have associated mature forest. Plots (10 × 10 m for plants and carabids, 50 m radius for birds) were established in each treatment combination, bird surveys were conducted at a subset of ten of the fourteen reforestation sites.

Plants were surveyed in each plot using three randomly placed 1 × 1 m quadrats in each plot, the percentage cover of each species was recorded using the DOMIN scale. Carabid beetles were surveyed using six pitfall traps were set per plot, with two traps associated with the location of each plant survey quadrat. Two bird surveys were conducted per plot during different date intervals. All surveys were conducted between 6:00 am and 11.30 am. Surveys were conducted for 15 minutes, after a two minute settling period. Birds were identified visually or by songs/calls.
DOI: 10.5285/4c347ec4-0beb-4355-9780-89dad718b2f3
title: Individual heath area estimates for land cover types in Dorset: 1978-2005

description: This dataset is a census of the heathland and associated vegetation from Dorset, UK.  The Dorset heathlands are situated in South West England, and are generally associated with free-draining and acidic soils overlying Tertiary sands and gravels. The heathlands comprise a mosaic of different vegetation types, characterised by dwarf shrub communities dominated by members of the Ericaceae (e.g. Calluna vulgaris, Erica spp.), together with areas of mire, grassland, scrub and woodland.  Unless they are managed heathlands undergo succession to scrub and woodland. Therefore the majority of heathland sites are currently under some form of conservation management, which is implemented to reduce succession to scrub and woodland. Management interventions include cutting and burning of vegetation, and grazing by livestock. Individual heathland patches are also managed for ecosystem services, such as recreation and timber production, as well as biodiversity conservation. 
description: In this survey the plot sample size of 4 ha (200 m x 200 m) is based on the National Ordnance Survey mapping grid.  All those plots within the county boundary of Dorset that were known to contain some heathland vegetation (dry heath, humid heath, wet heath and mire) in 1978 were surveyed for the cover of all major vegetation types. These vegetation types were: dry heath; humid heath/wet heath; mire; brackish marsh; carr; scrub; hedges and boundaries; woodland; grassland; sand dunes; sand and clay; ditches, streams, rivers, pools, ponds; arable; urban; other land uses; bare ground. Within each plot, the cover of all vegetation types was estimated and recorded on a 3-point abundance scale (1 = 1-10 percent cover; 2 = 11-50 percent cover; 3 = greater than 50 percent cover).  A total of 3110 plots were identified in 1978, and, following the initial survey, repeat surveys of all plots were done in 1987, 1996 and 2005.  These data were converted into area estimates and the plots amalgamated into groups 'heaths' for this dataset.
DOI: 10.5285/eac530fe-54ad-4570-83d3-c59e70c0af9d
title: Population responses of honeybees to oilseed rape neonicotinoid seed treatments in Hungary, Germany and the UK

description: The data set describes the effects of three neonicotinoid seed treatments (clothianidin, thiamethoxam and a control) applied to winter sown oilseed rape in Hungary, Germany and the UK on honeybees (Apis mellifera). The data describes population responses in terms of European Food Safety Authority (EFSA) primary (colony strength and overwintering success) and secondary assessment endpoints for the response of honeybees to exposure to the neonicotinoids. Information on expression of neonicotinoids in the pollen and nectar from the crop or collected by bees is also included, as well as details of honeybee diseases and foraging preferences. This research was undertaken by the Centre for Ecology & Hydrology in 2015 and was funded by Syngenta Ltd. and Bayer CropScience.
description: The same experimental design and field protocols were used at all sites. Details of the field protocol have been published on the Centre for Ecology & Hydrology (CEH) website (see online resources for link). Concentrations of the neonicotinoids within samples were quantified within the CEH analytical chemistry laboratories, accredited by UKAS to the British Standard ISO/IEC 17025: 2005. Details of the methodology have been published on the CEH website (see online resources for link).
DOI: 10.5285/2efa9bf4-e5c0-42f9-8fcb-90dca2bb9c66
title: First egg dates for great tits (Parus major) and blue tits (Cyanistes caeruleus) breeding in three deciduous woods in Cambridgeshire, England in 1993 to 2016

description: This dataset contains first egg dates for great tits (Parus major) and blue tits (Cyanistes caeruleus) from Monks Wood, Brampton Wood and Wennington Wood in Cambridgeshire, England, over a 23 year period. The dataset runs from the breeding season in 1993 to the end of the breeding season in 2015. The first egg dates are presented as the number of days from the start date which was set as the 1st April each year. Because the timing of breeding of great tits and blue tits is influenced in large part by ambient temperature and the phenology of their main prey, the data were collected as a measure of spring phenology. These data comprise part of a larger long-term study of the influence of habitat (extent, structure and composition) and landscape factors on abundance, distribution and breeding success of woodland birds in English lowland deciduous woodland.
description: Field data collected by trained and experienced personnel. Egg dates have been checked against original paper records. Numbers of lines of data have been checked and data values have been checked for outliers. Individual egg date values have been checked against mean values per year for each site.
DOI: 10.5285/703af27b-ce8c-44e0-ac20-b46e391a64ef
title: Weekly water quality data from the River Thames and its major tributaries, 2009-2023

description: This dataset comprises weekly water quality monitoring data of seven sites along the River Thames, UK, and sixteen of its major tributaries from Feburary 2009 to December 2023. Monitored determinands include major nutrient fractions, anions, cations, metals, pH, alkalinity, and chlorophyll. This catchment-wide biogeochemical monitoring platform captures changes in the water quality of the Thames basin during a period of rapid change, related to increasing pressures (due to a rapidly growing human population, increasing water demand and climate change) and improvements in sewage treatment processes and agricultural practices. The dataset provides the research community with a valuable data and modelling resource for furthering our understanding of pollution sources and dynamics, and vital underpinning environmental data required to best manage this vital drinking water resource, which is key for the sustainability of the city of London and the wider UK economy. 
description: All water samples were collected by fieldworkers from the UK Centre for Ecology & Hydrology (UKCEH), Wallingford.  All chemical analysis was carried out by the Nutrient Chemistry Laboratories at CEH Wallingford.
DOI: 10.5285/b3a55011-bf46-40f5-8850-86dc8bc4c85d
title: Fine root biomass in fertilised plots in the Central Amazon, 2017-2019

description: The dataset contains the weight of fine root (<2 mm) at two soil depths (0-10 cm and 10-30 cm) collected in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil. Data were obtained by the in growth core method, in campaigns conducted every three months from 2017 to 2019 in all plots.


description: The root biomass (g) of fine roots was obtained by the in-growth core method, which consists of a plastic mesh trap of 12 cm diameter and 30 cm depth established in holes of equal size in the soil, in five points in the central area of 30 x 30 m of each plot, with root-free soil initially. In each plot, the five ingrowth cores were bulked into a composite sample per plot, divided into depths of 0-10 cm and 10-30 cm, and roots were removed from the soil core by hand in the field over a period of 60 minutes, which was split into 15 minutes time interval. Subsequently, roots were cleaned of residual and detritus, dried at 60 °C until constant mass and weighed. Fine roots considered here are defined as <2 mm in diameter, attested by a digital caliper. The root biomass obtained from the first installation is considered to be the stock of roots.

 In 2017, the data were collected in August and November. In 2018, the data were collected in February, June, September and December, and in 2019, the data were collected in March, June, September and December.
DOI: 10.5285/0dd30cc6-d4fb-42f5-a5a4-954cf01a230b
title: Predicted outcomes from land use change scenarios in upland Wales catchments

description: A spatial approach was developed to interpret qualitatively expressed scenarios, and predict the probability and amount of change for 10 land-cover types across 127 sub-catchments in upland Wales. Existing data, which have a temporal coverage of 1998-2007, were used for the underpinning mapping, and fed into the tabular land cover change summary data. For each scenario, the maximum and minimum land-cover change was projected using rules based on current land cover, agricultural land quality, ownership type, and nature conservation status. For each combination, total land-cover change summaries have been created, which indicate how land cover within the 127 sub-catchments may respond to change in the future.  This work was part of the Diversity in Upland River Ecosystem Service Sustainability (DURESS) project, NERC grant NE/J014826/1.
description: Existing spatial datasets were collected and used to predict the maximum and minimum outcomes for land use change scenarios.  These data include the 25 x 25m Land Cover Map 2007 raster, which was aggregated to 13 classes (see supporting documentation).  The Agricultural Land Classification (ALC), designated boundary, and ownership data were also used.  Using GIS, sub-catchment boundaries were used to clip the land cover, agricultural land quality, ownership, and designated sites data.  Following this, two separate polygon layers were built to represent maximum (using land-cover and ALC data), and minimum (land-cover, ALC, plus additional datasets representing protected areas and areas of ownership) change. These were created by using the 'union' process in ArcGIS.  
A unique identifier was created in the polygon layers, and in each rule-base. The purpose of this unique identifier was to help match all attributes in the data and rule-base and join them together.   In ArcGIS, calculations such as land cover area, land cover area percent, and net change (before and after scenario was applied) were made.  Due to multiple land cover, ALC, designation and protected area permutations, a final summary was needed to illustrate by how much land cover changed under the different scenarios.  Therefore, in Excel, each land cover in each sub-catchment was summarised and a total area before and after scenario was calculated. These values were exported into Excel spreadsheets and then into comma separated values for ingestion into the EIDC.
DOI: 10.5285/dd919c8e-ccd6-48ed-a1c0-ef5cf732bdc6
title: Avian data from the South Fork McKenzie River in Oregon, USA after a wildfire event, 2021

description: Bird data comprises point counts of bird species and their abundance observed at each collection site. Data are separated into birds within 50m, greater than 50m distant and birds in flight.

These data were collected from the South Fork McKenzie river, Oregon, USA in June 2021 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from a restored and unrestored reach of the South Fork McKenzie River with a view to quantifying differences in avian response to wildfire in the restored vs. unrestored river reaches.

The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council.
description: Point count of bird species carried out across 41 sites (20 restored, 21 unrestored) in the South Fork McKenzie River. Point counts carried out initially over 3 minutes and then a further 2 minutes. Birds were recorded as <50m, >= 50m, or flying over. Each site was attempted to be sampled twice but in 5 cases this was not possible due to field conditions (Points 5, 17, 21,22, and 23)
Methodology based on the following field protocols:
Ralph, C. J., G. R. Geupel, P. Pyle, T. E. Martin, and D. F. DeSante. 1993. Handbook of field methods for monitoring landbirds. General Technical Report PSW-GTR-144. Pacific Southwest Research Station, U.S. Department of Agriculture, Forest Service, Albany, California.
Stephens, J. L., S. R. Mohren, J. D. Alexander, D. A. Sarr, and K. M. Irvine. 2010. Klamath Network Landbird Monitoring Protocol. Natural Resource Report NPS/KLMN/NRR—2010/187. National Park Service, Fort Collins, Colorado.
DOI: 10.5285/08305a43-79b5-432f-ad20-2ddffe0d1077
title: Time series of trajectory data for individual three-spined sticklebacks (Gasterosteus aculeatus) swimming in groups of eight individuals

description: The resource consists of cartesian coordinates, expressed in units of pixels for groups of eight individual fish, swimming in a shoal. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. A food stimulus delivering a single food reward was presented six times per trial. The data were collected between July and August 2017 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test the effects of group behaviour in fish shoals on foraging performance. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files.

The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world

All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060).
description: The fish were filmed in a tank from above with a high resolution video camera at 25 frames per second. File resolution was reduced for video tracking. Cartesian coordinates expressed in units of pixels were generated from automated two-dimensional tracking software and are presented as text (.txt) files.
DOI: 10.5285/4af5abe4-158a-4736-b318-ec660e09e45a
title: Countryside Survey mapped estimates of Broad Habitat area change in Great Britain between 1990 and 2007

description: This dataset consists of change data for areas of Broad Habitats across Great Britain between 1990 and 2007. The data are national estimates generated by analysing the sample data from up to 591 1km squares and scaling up to a national level. The data are summarized as percentage increase or decrease in habitat area per Land Class (areas of similar environmental characteristics) and are in a vector format. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB and using the 'ITE Land Classification' as a method of stratification. The data were collected as part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978 by the Centre for Ecology & Hydrology. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.
description: The data were recorded onto paper field sheets in the summer of 1990 by surveyors. In the summer of 2007, the data were recorded using electronic data capture devices. Data were recorded from 508 1km squares (1990) and 591 1km squares (2007) sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats from 1990 were digitized in 2000. The digitized data were used to generate national estimates of the change in Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented as percentage increases/decreases by ITE Land Class (2007 version).
DOI: 10.5285/b70afb8f-0a2b-40e6-aecc-ce484256bbfb
title: Effects of low-dose ionising radiation on reproduction and DNA damage in marine and freshwater amphipod crustaceans

description: Data comprise results of laboratory experiments assessing the impacts of beta radiation (phosphorus-32) on reproduction, development and DNA damage in a marine and freshwater crustacean species. All crustacean samples were collected either from Lock Lake, Portsmouth (marine crustacean Echinogammarus marinus) or from the River Ems, Emsworth (freshwater crustacean, Gammarus pulex). Laboratory experiments were conducted periodically from summer 2015 to autumn 2016 at the University of Portsmouth. The data are of use in elucidating the mechanisms and effects of low-dose ionising radiation on an important group of model organisms in radioecology. 



description: Sperm quality data was ascertained using a LIVE/DEAD sperm viability kit on sperm suspensions obtained by dissection. DNA damage data was obtained using a modified comet assay method.
DOI: 10.5285/ba39167d-421a-4bfb-b504-56e9f8a38746
title: National Plant Monitoring Scheme, 2015 to 2016 dataset

description: This dataset contains data from the National Plant Monitoring Scheme between 2015 and 2016. These consist of plant species occurrences, with abundance values, in plots. Plots are nested with 1 km squares, and are georeferenced according to the British/Irish/Channel Islands grid systems, or in latitude/longitude format; the 1 km squares surveyed were selected according to a weighted-random design, designed to enrich the sample for semi-natural habitats. Plots also have associated habitat and spatial information, as well as a small number of other environmental data. The species recorded in any particular plot are dependent on the habitat chosen for the plot by the surveyor, and the level of the scheme at which they were participating. Please see the references in the supporting documentation (survey guidance) for more information.

Please be aware that this dataset is updated annually and that more recent versions exist.
description: The data were initially entered through a custom-built Drupal-website, using the open-source Indicia (www.indicia.org.uk) database standard. Data were extracted from this database into the flat tables presented here.
DOI: 10.5285/122e87db-7269-4d6a-bc99-9a826fda3885
title:  Passive sampler ammonia measurements indoors and outdoors at a rural dwelling in South Lanarkshire, 2022

description: This dataset consists of ammonia (NH3) measurements at two sites in a rural location in South Lanarkshire. The sites are located in a dwelling, one site is inside and the other is outside in the garden area. The garden backs onto grassland which is part of a large dairy farm. The ammonia measurements are taken from a set of UKCEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers from January 2022 to December 2022. Samplers are exposed in monthly cycles at the beginning of each month.
description: Local site operator duties are completed by a private individual and analysis and plotting of results is completed by the UK Centre for Ecology & Hydrology, Edinburgh. Samplers are exposed in monthly cycles at the beginning of each month.
Data analysis and preparation is conducted using the AAGA data processing tool. AAGA is a database designed to introduce more reliable, reproductible and traceable way of handling data from ALPHA® samplers, the abbreviation stands for Ammonia Acids Gases and Aerosols data system.
DOI: 10.5285/76f52a38-7a2c-49a3-b86f-cc40205459ef
title: Observations of human hygiene behaviours before and after exposure to poultry in Dhaka and rural Tangail district, Bangladesh (2017)

description: The dataset provides observational information on events when humans are in contact with poultry in rural and urban Bangladesh. Data were collected during observation periods of three hours duration in three settings where humans and poultry have close interactions: rural households with domestic poultry and small-scale commercial farms in rural areas of Tangail district and market stalls that sell, slaughter and process live poultry in Dhaka city. Observations on hygiene or handwashing behaviours that take place before or after contact with poultry, poultry products (eggs, meat) or poultry waste (bedding, faeces or carcasses) were also recorded. A structured observation sheet was used to record the number of occurrences of pre-defined activities. The objective was to record the types of contact behaviours and proportion of human-poultry interactions that could result in human exposure to antibiotic-resistant bacteria carried by poultry.

The research was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance (AMR) Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative, award NE/N019555/1. 
description: Observations were recorded on a paper-based data collection instrument. Data were entered into an Excel spreadsheet and converted to .csv files for ingestion into the EIDC.
DOI: 10.5285/dcfa74ce-6d05-4717-978d-e7cdf9b2039e
title: Weather data from Durleigh Reservoir, 2018

description: This dataset contains seven month monitoring of weather conditions at Durleigh Reservoir in Somerset, England, during 2018. A Delta T WS-GP1 weather station was installed approximately 4 m above the surface of the reservoir between 5 April and 5 October 2018. 
description: The data available to download consists of air temperature measurements (°C), humidity (%), radiation (W/m2), rainfall (mm), wind speed (m/s), and wind direction (degrees). Air temperatures, radiation, humidity, wind speed and wind direction measurements were all average over 10 minute intervals. Rainfall was sampled every 10 minutes. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.