cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/f56d3d1c-28f2-4667-90b0-ef352243dd2a
title: Male behaviour in a wild field cricket (Gryllus campestris) population in North Spain, 2019

description: The data provide information on a number of male cricket behaviours organized according to time and duration of the behaviour. Also included are the mean temperature at the ground level for the duration of each observation.
description: We captured a sample of young adult male field crickets from 10 populations, originating from two contrasting altitudes (five populations at under 160 metres above mean sea level (MASL) and five populations at over 1,200 MASL) and introduced them in a low altitude meadow together with local young adult females. We then individually monitored their behaviour over the whole reproductive season.
DOI: 10.5285/3055e8c7-fa76-4350-bbdc-9b9958f58d10
title: A systematic review of common measurement methods of global soil protease activity between 1970-2020

description: The dataset contains global soil protease activities and common methodological parameters (i.e. fluorometric and colorimetric analysis) used to measure soil protease activity between 1970-2020. The dataset also includes key environmental parameters that affect protease activity i.e. soil type, soil pH, mean annual temperature, mean annual precipitation, soil organic carbon, and clay content.
description: Data were collected from a systematic review of published articles that measured soil protease activity. Using a search term strategy, screening by title and abstract, and then assessing the full text for eligibility, we identified 680 studies to include in this collection. Mean soil protease activity data were exported using predetermined criteria. In addition, several environmental and methodological parameters were exported when stated in the study. The raw extracted data from the studies were split into two csv files provided here, colorimetric methods and fluorimetric methods.
DOI: 10.5285/4e6a2e58-6916-4212-8b2e-e30942b0a05a
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) sediment particle size in mudflat and saltmarsh habitats

description: The dataset details particle size of sediments across six intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the sediment particle size fractions present within surface sediments (up to a depth of 2 cm). Three sites were located in Essex, South East England and the other 3 in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering four spatial scales. three replicate samples of surface sediment were collected at each quadrat. They were then processed using laser particle size analysis. Values are expressed as different metrics of particle size and as specified size fractions as percentages of the total.

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.
description: The location of the sample sites was determined by randomly allocated quadrats. Twenty-two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).

Mudflats: surface scrapes of sediment were taken. Saltmarsh: sediment was cut from 2cm below the surface. All samples were frozen at minus 20 degrees and then analysed using the Malvern Mastersizer protocol for particle size analysis, full details of which can be found here: http://www.geog.cam.ac.uk/facilities/laboratories/techniques/loi.html
DOI: 10.5285/691a823c-d1da-4420-837c-3c30ce83818b
title: Plant species composition of a meadow sward exposed to grazing treatments at Somerford Mead, Oxford 1987-2014

description: This dataset includes a description of the flora on Somerford Mead, Oxford for the period 1987 to 2014.  During the period 1991 to 2014, a grazing experiment was conducted on the meadow, in which individual plots were either grazed by sheep, grazed by cattle or left ungrazed following the annual hay cut.

The data consist of list of all plant species found at sample locations within each plot together with an estimate of abundance.
description: The data were gathered on site by Dr Alison McDonald herself or by students (often Dutch) under her supervision during the period 1987 to 2013.  In 2014, staff from UKCEH undertook the survey under the direction of J. Owen Mountford.  Data were recorded in the field onto pre-prepared forms listing all species previously found on the site.  The data were input into an Excel spreadsheet by Dr Melanie Stone on behalf of the Floodplain Meadows Partnership (FMP) in 2021.  This work was funded by the Ecological Continuity Trust.  The data were subsequently converted to individual text files (.csv) by Prof David Gowing (FMP).  The taxonomic accuracy of the names and the species counts were checked by Dr Stone on inputting and comments added where corrections made.
DOI: 10.5285/d82a04ce-f04d-40b4-9750-1a2bf7dc29a3
title: Hampshire Avon: Vertical head gradient, saturated hydraulic conductivity and pore water chemistry data from six river reaches

description: This dataset contains measurements of hydraulic head and saturated hydraulic conductivity together with porewater chemistry from banks and riverbed sediments in six river reaches of contrasting geology (clay, sand, chalk) in the Hampshire Avon. Falling and rising (slug) test data were used for computation of saturated hydraulic conductivity. Hydraulic head measurements were obtained from pressure transducers installed in piezometers between Summer 2013 and Summer 2015. Samples for porewater chemical analysis were collected from porewater sampling tubes on the piezometer network between Summer 2014 and Summer 2015.
description: All data were generated by the authors with help from field and laboratory technicians. All hydraulic head data generated by the pressure transducers were checked fortnightly (when possible) against manual measurements. As chemical data were generated, checks were made to ensure accuracy (certified reference materials) and precision (repeat measurements) were within accepted tolerance limits. We ensured measured values fell within the calibration range and re-analysed samples where necessary.
DOI: 10.5285/3912c291-3199-445a-8da4-d5cf2efbc7ca
title: Dielectric measurements in soils and granular media for determining moisture

description: The data set contains laboratory measurements of the apparent permittivity (dielectric constant) of granular media and soils as a function of volumetric water content. Measurements include wetting, drainage, or both. In addition, there are measurements for granular materials with different shapes. All measurements were made with a Tektronix TDR with additional frequency dependent dielectric measurements (8) made using a network analyser. The data constitutes those measurements made by the authors over a 10 year period.  
description: These are laboratory measurements in independent laboratories in Israel, Trinidad, and the USA.
DOI: 10.5285/69d89261-b7ee-4b56-bb13-1128e3c8dd93
title: Chemical analysis of nitrogen transformations in biochar amended soil

description: These data are from an investigation of the effects of biochar application to soil, on soil greenhouse gas emissions and N transformations within the soil. Biochar is a carbon rich substance which is being advocated as a climate mitigation tool to increase carbon sequestration and reduce nitrous oxide emissions. The data were collected during a 15N pool dilution incubation to investigate the nitrogen transformations within biochar-amended soil following the addition of 15N-labelled ammonium nitrate. Analyses included 15N content of nitrous oxide and 15N content of soil. The N transformations were then modelled using a model for calculating nitrogen fluxes in soil using 15N tracing (FLUAZ model).
description: Twenty soil cores were collected from a field site in Lincolnshire in March 2011, three weeks after planting and Nitrogen fertiliser addition. Soil cores of 150-180 millimetre (mm) depth, containing approximately 1.6 kilogram soil (dry weight) were extracted in Polyvinyl chloride (PVC) pipes (height 215 mm depth 102 mm) and stored at 4 degrees centigrade for 30 days. A four-treatment factorial experiment was designed using soils un-amended or amended with biochar and un-wetted or wetted with deionised water (5 replicates per treatment). Soil in all the cores was mixed to 7 centimetre (cm) depth. To half of the cores, biochar (less than 2 mm) was mixed into the soil at a rate of 3 percent soil dry weight (approximately 22 tons per hectare (t ha-1)). After allowing for any potential Carbon dioxide (CO2) flush from newly-mixed soil to equilibrate for seven days, the cores were placed at 16 degrees centigrade in the dark. Un-wetted soil cores were maintained at 23 percent Gravimetric moisture content (GMC), whilst the GMC of 'wetted' soil cores was increased to 28 percent GMC at the time zero (t0) of four wetting events on day 17, 46, 67 and 116. These water addition rates were based on mean and maximum monthly soil GMC measured in the field between 2009-2010.
DOI: 10.5285/f5dc095c-e3f6-4d9e-be80-40e35c298142
title: Loch Leven monitoring data (water quality, chemistry, crustacean zooplankton), 2021

description: This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2021. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The sampling and processing was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
description: The data was collected from fieldwork at Loch Leven during 2021 and recorded into a database with some samples being processed in the laboratory first. All data has been through a QA process, which is detailed in the metadata document.
DOI: 10.5285/0fa51dc6-1537-4ad6-9d06-e476c137ed09
title: Topsoil physico-chemical properties from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016

description: This data set includes a range of physico-chemical properties measured from topsoil within a wide range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  The properties included are: soil organic matter (loss on ignition (LOI)), derived carbon concentration, total soil organic carbon (SOC), nitrogen, total soil phosphorous, Olsen-phosphorous (within improved land only), pH, electrical conductivity, soil bulk density of fine earth, fine earth volumetric water content when sampled and soil water repellency - water drop penetration time.

The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016.  The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the Centre for Ecology & Hydrology.
description: Within each of 300 x 1km sample squares, a set of soil samples were taken from 5 pre-determined randomly dispersed locations (where practically possible).  The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15cm long, from a location co-incident with vegetation surveys.

After collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the Centre for Ecology & Hydrology (CEH), Bangor and Lancaster.  Analysed data were transferred to secure databases at CEH following  sample analysis.

To ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.
DOI: 10.5285/7b721c07-bc38-4815-8669-4675867663d0
title: Paternity of Eschscholzia californica plants introduced to habitats comprising different floral cover

description: This dataset details the paternity of progeny from Eschscholzia californica plants introduced to habitats comprising different floral cover. Data was collected in June 2015 at the Hillesden estate, Buckinghamshire, UK. Plants were genotyped at seven microsatellite markers before being introduced across the study site to form experimental arrays. Experimental arrays comprised of three E.californica plants separated by 1m and arranged in a triangular formation. A total of sixteen arrays were introduced across four 100 hectare replicate blocks, each separated by >500m. At the centre of each block, four experimental arrays were placed at 50m intervals along a 150m transect laid symmetrically across the boundary between an established wildflower patch and bare, fallow ground or grazed grassland (two arrays within the florally rich habitat and two arrays within the florally poor habitat). Upon maturation approximately 10 seeds were collected from each plant and genotyped. Fragment analysis was conducted and alleles were scored on Genemarker. Seeds were then manually scored as outcrossed or selfed and paternity was determined using Cervus. The dataset was part of a larger experiment looking at the effect of floral resources on the pollination services to isolated plants.
description: All open flowers were removed from the E. californica plants prior to their placement in pre-marked locations across the landscape. One bud on each plant was covered in a fine muslin to represent a 'pollinator excluded' flower. Plants remained in the field for 16 days to ensure full anthesis of new flowers and to allow for multiple pollination events. After this period, all fruit were tagged to ensure that only fruit development arising from the period of the field experiment were included in analyses. Plants were then collected and stored under controlled glasshouse conditions until fruit maturation. Ten progeny per plant from each of the field exposed plants were genotyped using 50mg of fresh leaf material and following standardised protocols. The incidence of self-fertilisation in plants from each habitat was calculated manually by individually comparing each successfully amplified progeny against their maternal plant. If, at each of the seven loci, the progeny was a complete match for the maternal genotype, or was homozygote for one of the maternal plants alleles, it was scored as selfed. Alternatively, if any novel alleles were observed in the progeny that were not present in the maternal plant, the progeny was classified as outcrossed. Paternity was determined using Cervus 3.0.7, where each progeny sample was listed detailing alleles at the seven microsatellite loci, specifying the known maternal sample as well as the potential paternal samples.
DOI: 10.5285/6c8b8134-a877-41ee-aede-f480c7aaa80d
title: Stable oxygen and hydrogen isotope composition of precipitation, river water and lake water in the Five Lakes of Mikata catchment, 2011-2012 and 2020-2022

description: This dataset contains information about the stable oxygen and hydrogen isotope composition (δ18O, δ2H and d-excess) of waters within the Five Lakes of Mikata catchment. Datapoints span March 2011 – January 2012 and July 2020 – July 2022. Samples include precipitation on an event-basis, weekly river water and weekly lake water. To accompany the precipitation isotope composition data, total precipitation and average temperature during each subsampling period is provided. Water temperature and salinity variations with depth within Lake Suigetsu on six dates across the 2020 – 2022 sampling interval are also given. This data was collected to determine if catchment water composition reflects East Asian Monsoon variability. 

This work was supported by an Australian Research Council Discovery Project (DP200101768), a JSPS KAKENHI Grant (19K20442) and the NERC IAPETUS2 Doctoral Training Partnership.
description: River and lake water samples were taken using a collection vessel for surface samples or a sealable van Dorn water sampler for deep samples. Precipitation samples were taken using a purpose-built funnel and glass bottle holder. Water samples were then transported to the British Geological Survey, UK, for analysis on an Isoprime 100 mass spectrometer with an Aquaprep dual-inlet system (to yield δ18O values (‰)) and continuous flow, high temperature conversion elemental analyser - IRMS (EuropyrOH-Isoprime) with liquid autosampler (to yield δ2H values (‰)). D-excess values (in ‰) were calculated from these quantities. Water temperature (°C) and salinity data (%) were collected using a Hydrolab DS5 water quality meter and TOA-DKK WQC-24 meter. Total precipitation (mm) and average temperature (°C) were monitored using a Netatmo weather station.
DOI: 10.5285/d2524c77-c0b6-4228-a743-ec6f16623d80
title: Modelled surface nitrogen dioxide (NO2) for the grassland growing season in the UK and USA in 2018

description: This dataset consists of a vector layer (based on 1 by 1° grid), of modelled daily surface nitrogen dioxide (NO2, ug m-3). A seasonal average value per grid cell was calculated for the grassland growing season (mid-April to mid-July), for the USA and UK, in 2018. 
description: The surface NO2 data are an output of the global EMEP (European Monitoring and Evaluation Programme) chemical transport model (version 4.45). The model uses the Weather Research and Forecast (WRF) model (4.2.2) to calculate hourly 3D meteorological data for the year 2018. The emissions data used as model inputs were based on the IIASA ECLIPSE v6a (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) GAINS (Greenhouse gas – Air pollution Interactions and Synergies) model for the year 2015.
Output data from the EMEP-WRF model go through a process of quality assurance/control before use in subsequent analyses.
DOI: 10.5285/1c5cf317-2f03-4fef-b060-9eccbb4d9c21
title: Topsoil meso-fauna data from the Glastir Monitoring and Evaluation Programme, Wales 2013-2014

description: This data set includes counts of soil meso-fauna collected from topsoil within a wide range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  Meso-fauna include collembola (springtails) and acari (mites).  

The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the Centre for Ecology & Hydrology.
description: Within each of 300 x 1km sample squares, a set of soil samples are taken from five pre-determined randomly dispersed locations (where possible).  The soil sample analysed for soil fauna is taken using a white plastic core (‘F-core’), 8cm long, from a location co-incident with vegetation surveys.

After collection, the soil cores were posted as soon as possible to laboratories at the Centre for Ecology & Hydrology, Lancaster, for faunal extraction. 

To ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.
DOI: 10.5285/6a408415-0575-49c6-af69-b568e343266d
title: Microsatellite genotype data for five species of bumblebee across an agricultural landscape in Buckinghamshire, UK

description: Microsatellite data for five species of common and declining bumblebee (Bombus terrestris, B. lapidarius, B. pascuorum, B. hortorum and B. ruderatus) collected across the Hillesden Estate, Buckinghamshire, UK, in summer 2011. Worker genotypes were determined from individuals sampled across an agricultural landscape and queen genotypes were reconstructed from sampled worker offspring. Data were collected as part of a project led by the Centre for Ecology & Hydrology, funded under the Insect Pollinators Initiative.
description: Worker bumblebee DNA was sampled non-lethally, stored, extracted and genotyped using recognised standard protocols. The program COLONY v.2.0 was used to assign workers to full-sib groups (with a genotyping error rate of 0-5% based on results of re-genotyping 10% of randomly selected individuals and scoring errors) and to reconstruct the multilocus genotypes of the mother queens. Data were checked for errors at all stages by staff at the Centre for Ecology & Hydrology and at the Institute of Zoology.
DOI: 10.5285/d589f56c-ec0a-4340-9718-f594b032a10d
title: Elevation-coloured relief map of multibeam echosounder (MBES) scans from the bed of the Solimoes River near Tefe, Brazil, 2022

description: This GeoTiff presents the results of multi-beam sonar scans of the bed of the Solimoes River (upper Amazon) collected in early October 2022 upstream of Tefe, Brazil. These scans were collected as part of our study of the characteristics of the river banks and bed, an investigation of controls on channel mobility (results were published in Bruckner, Aalto, et al., 2024, Geology v.52 (7), 533-538). 

It can be viewed as a simple TIF file in a photo viewer, or it can be imported into a GIS system for located display (and access to metadata). 
description: Data were collected by Ruraltech LTD, a Brazilian company, in October 2022. 
These were processed and cleaned, and assembled into the located GeoTiff.
DOI: 10.5285/26ea7dfb-59f2-4dc5-b1ee-e9270167a6a2
title: Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2019-2020

description: This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Esthwaite Water in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). 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. All data are from January 2019 until the end of 2020.
description: 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. 
Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, covid-19 restrictions or staff shortage.