cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/5f2e06df-d141-4549-95b6-6a56300fc790
title: Mathematically modelled daily water saturation profiles for sites on the Namoi River floodplain in south-east Australia at different distances from the river

description: This dataset comprises mathematically modelled data of soil-water saturation, along vertical profiles, at 6 sites near the Namoi River, south-eastern Australia. The vertical profiles span the soil surface down to 10m deep, divided into 944 intervals. The 6 sites are located at different distances from the Namoi River and are split between 2 locations (Old Mollee and Yarral East). The distances from the river channel at each location are, Old Mollee: 50m, 140m and 320m, and Yarral East: 40m, 110m and 290m. The dataset underpins figures presented in Evans et al. (2018). The data were modelled as part of a PhD project funded by the Natural Environment Research Council and the National Trust.
description: Data have been produced using the HaughFlow model (Evans et al., 2018). HaughFlow is based on the 1D vertical Richards equation coupled with the 1D lateral Boussinesq equation and uses inputs of soil properties, river stage levels and climate parameters. Units of depth are in metres and water saturation is calculated as a proportion of the available pore spaces of the soil, producing values between 1 (100% saturated) and 0 (0% saturated), reported to 7 decimal figures. The Old Mollee 'Figure 6' datasets run from 01 July 2011 to 30 June 2015 and the Yarral East datasets run from 01 Jan 2013 to 30 June 2015. The Old Mollee 'Figure 7' dataset was modelled using alternative climate inputs and runs from 01 January 2004 to 31 December 2016.
DOI: 10.5285/615481ab-e97d-4c73-9973-4fb80e5fb003
title: Forest inventory and lightning strikes data from Ankasa Conservation area, Ghana, 2018-2021

description: This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ankasa Conservation Area, collected between June 2018 and July 2021.
We investigated tree mortality drive by lightning strikes in a 50-ha (1000 m x 500 m) plot area in the Ankasa Conservation Area, located in southwestern Ghana. The 50-ha was divided into 50 x 1-ha forest plots. In every census, we measured and tagged all trees and lianas that have a stem diameter at 1.3 m (or above buttresses) of ≥25 cm and notes were taken about the tree's living status (e.g., broken, hollow) or the trees death mode (e.g., uprooted, standing). Lightning strike data was collected from a subsample of the individual trees recorded in the census data.

description: For each tree measured in the forest inventory, we installed a custom-made Rogowski Coil sensor, that was designed and tested by the Cardiff Morgan Botti lightning laboratory, to record if a tree was struck by lightning, without damaging the tree or altering the tree's electrical resistance. The Rogowski Coil is a non-contact sensor commonly used to measure alternating and impulse current flowing through the axis of the coil (in our case, down the tree). A quick visual check of the fuse allows us to see if the tree was struck by lightning. In addition to tree stem measurements, in each census, we also took notes on the general state of the coil and fuse, and the electrical conductivity was measured. Trees struck by lightning (e.g. with the fuse blown or melted) were identified at the species level and any lightning-associated damage to the tree (e.g. marks in trunks, broken branches, canopy dieback) and in the surroundings (e.g. canopy gaps, sapling mortality) was documented.
DOI: 10.5285/d36fb15b-6cfb-4488-b6b7-2b62dcf00b46
title: Location and identification of water sample sites from the Wolf and Tamar catchments

description: This dataset contains the codes for water laboratory analysis, water sample identification, sampling dates and locations for water samples collected from the Tamar catchment in winter 2013/2014 as part of the South West project. It should be used in conjunction with datasets describing water bacteria and water eukaryote operational taxonomic unit sequence data.
description: Field Method description: Epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. Soil samples: A range of soils were targetedfrom the Tamar region comprising a range of land uses. Approximate location of sampling sites was determined from maps to provide good spatial coverage of the catchment. Exact sites were determined in the field, considering accessibility and other logistic, and soilstaken according to the following protocol: The exact location of each sample site was determined using a Garmin GPS12. Soil samples were kept in the cold and removed to the laboratory for analyses.
DOI: 10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b
title: Gridded drought indices based on remote sensing data for Europe (2000-2015)

description: This dataset comprises three gridded drought indicators based on remote sensing data for Europe. The data has a spatial resolution of 0.05 degree and a temporal resolution of 1 month for the period going from 2000 to 2015. The three drought indicators are: 
 the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index);
  - the Temperature Condition Index (TCI) based on remotely sensed LST (Land Surface Temperature)
  - the Vegetation Health Index (VHI) which is a combination of VCI and TCI, calculated using MODIS products
description: Three gridded drought indicators based on remote sensing were calculated for Europe. The data has a spatial resolution of 0.05 degree and a temporal resolution of 1 month for the period going from 2000 to 2015. The three drought indicators are (i) the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index) (ii) the Temperature Condition Index based on remotely sensed LST (Land Surface Temperature) and (iii) the Vegetation Health Index (VHI) which is a combination of VCI and TCI. For NDVI, MODIS product MOD13C2 was used, and for LST, MODIS product MOD11C3 was used. VCI, TCI and VHI were derived using methodology described by Kogan (Kogan, F.N., 1995; https://doi.org/10.1016/0273-1177(95)00079-T)
DOI: 10.5285/9b203324-6b37-4e91-b028-e073b197fb9f
title:  Nitrogen deposition in the UK at 1km resolution, 1990-2017

description: This dataset contains total nitrogen (N) deposition at a 1km x 1km resolution in the UK, annually from 1990 to 2017. N deposition is presented as reduced N (NHx) and oxidised N (NOy), both of which are split into wet and dry portions. Values are given for forest and moorland land cover, as well as a weighted mean to each grid cell (‘grid average’).
description: The data were generated using UK emissions data from the National Atmospheric Emissions Inventory, which were processed via the FRAME atmospheric chemistry transport model. Wind and rain data are specific to each year. As data were processed, checks were made to ensure their veracity and final deposition values were compared to measurements from the UKEAP network.
DOI: 10.5285/e07386ba-f7a8-490d-99f7-1ce1ae14e95d
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) global positioning system (GPS) locations of survey quadrats in saltmarsh and mudflat habitats 

description: The dataset details global positioning system (GPS) locations recorded for survey quadrats at six UK saltmarsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a salt marsh area and adjacent mudflat area. Each site comprised 22 quadrats on the unvegetated mudflat and 22 quadrats on the salt marsh. The locations indicated by this dataset correspond to the south-east corner of the quadrats which were 1m square and oriented with their sides aligned North-South and East-West.

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: GPS locations and elevations were recorded using a Leica GS08 GNSS system with n-board 3D coordinate quality check of 50mm (above which points were rejected). Surveys were conducted within two weeks prior to, or during, the main CBESS sampling campaigns in Winter and Summer of 2013. Data were recorded in OSGB1936(2), Northings, Eastings and elevation relative to Ordnance Datum Newlyn. No subsequent processing has been undertaken.
DOI: 10.5285/3322cccd-95fe-4cc9-baf8-48cddd03433d
title: Somatic and physiological data for three-spined sticklebacks, 2005-2008 [Endocrine Disruption in Catchments (EDCAT)]

description: This dataset comprises characteristics of three-spined stickleback fish including length, weight, sex, condition factor (K-factor), cortisol and glucose concentration, RNA:DNA ratio and ethoxyresorufin-O-deethylase activity normalised to liver homogenate protein concentration.  These data were collected by the Centre for Ecology & Hydrology from three-spined sticklebacks (Gasterosteus aculeatus L.) captured in the River Ray (south west England) at sites downstream of an urban waste water treatment works (Rodborne WWTW) prior to (2005-2007), and following (2008), remediation of the WWTW effluent with granular activated carbon (GAC) tertiary treatment. During the same period fish were also sampled from neighbouring reference rivers (R. Ock, Childrey Brook). 
description: The fish were captured with a hand net, then processed and analysed at the Centre for Ecology & Hydrology, Lancaster.  See supporting documentation for further information.
DOI: 10.5285/caddc526-9d70-4c06-9d9a-abb73836f609
title: Behavioural data on individual wild adult field crickets (Gryllus campestris) in a meadow in Northern Spain in May and June, 2022

description: We provide basic morphological and life history data (size, lifespan, emergence date) and behavioural data (number of matings, fights and burrow use) on a population of wild field crickets (Gryllus campestris) in a meadow in N. Spain, from May to June 2022.
Crickets were individually tagged with a 2 letter code as they became adult so they could be recognised on the video recorded 24 hours a day using infra-red video cameras that monitored up to 140 burrows simultaneously. Video was watched manually by a single observer who recorded the traits listed above. Crickets were weighed using a 0.1mg accurate balance on the day of their emergence to adulthood. Their emergence was observed using the video cameras. Their lifespan was determined by observation of their being killed by a predator on the video camera, or because they disappeared from observation and were not seen subsequently. Matings, fights and burrows used were directly observed from the video. These data were acquired to assess behavioural thermoregulation in crickets in the wild and were collected by researchers at the University of Exeter.
description: To obtain the life history and behavioural data, we used adult crickets reared under seminatural conditions during their nymphal development. Rearing took place in plastic boxes kept in a meadow in North Spain until their emergence as adults, when they were weighed (0.01 g), tagged with an individual unique code and released in the same meadow. We observed their behaviour using 140 IR cameras monitoring their burrows 24/7. We recorded the video using dedicated software that allowed us to playback multiple cameras at once to watch it and record behavioural events associated to individual crickets and burrows.
DOI: 10.5285/206f93ea-2d8b-4276-b29c-e3be67a0cb60
title: Woodland structural data derived from LiDAR for the year 2011 in the Isle of Wight

description: This dataset contains height, foliage height diversity, mean crown area, tree count, bedrock, elevation, age, aspect and slope data for woodlands under 1ha in size that were also covered by Defra’s LiDAR survey in the year 2011 in the Isle of Wight. These data were collected to see if the presence of an adjacent older neighbour affects woodland structure and height in recently created woodlands. Data was processed by the author under NERC Grant NE/S007458/1 PANORAMA - A Yorkshire partnership for training in environmental careers
description: LiDAR data was downloaded from Defra’s LiDAR survey, geological data was provided by the British Geological Survey. All metrics were calculated using R version 4.0.3.
DOI: 10.5285/4ca855a3-752c-4492-8e26-3438652dd35c
title: Socio-economic survey of domestic groundwater handling and use for source owners in Kisumu, Kenya in 2014

description: This datasets contains the anonymised results of a survey of well owners in Kisumu, Kenya. Data includes information on the amount of water abstracted daily from the well and ways in which this water was used and handled, information on other sources of water (e.g. piped utility water and rainwater) and how this is used, and the assets and services that the well owner has access to. Answers from questions to assess food poverty are also included. The surveys were carried out during February and March 2014 and include data from 51 well owners. The data were collected as part of the Groundwater2030 project, which aims to reduce the health problems that result from consumption of contaminated groundwater in urban areas of Africa. The project was co-ordinated by the University of Southampton, with partners at the University of Surrey, the Victoria Institute of Research on Environment and Development (VIRED) International, and the Jaramogi Oginga Odinga University of Science and Technology. The project was funded by the Natural Environment Research Council and the Department for International Development as part of the Unlocking the Potential of Groundwater for the Poor (UPGro) programme.
description: Data were collected using trained surveyors using a standardised questionnaire. Part of this questionnaire follows the format of part of the 2008 Kenyan Demographic and Health Survey questionnaire.
DOI: 10.5285/a2c87e47-6f85-4bee-9a54-ecb1bb5b3573
title: Soil moisture data obtained from prototype neutron probes at a centre-pivot irrigation site, Bahia state, Brazil, 2023

description: This dataset contains daily soil moisture estimates using prototype cosmic ray neutron sensors. The sensors were deployed in a centre-pivot irrigation site in the state of Bahia, Brazil, and measurements were taken hourly between June and December, 2023. 

The dataset includes daily averages of volumetric water containment, which have been corrected for environmental effects.

 This dataset was created to study the potential for using distributed cosmic ray sensors to support data driven irrigation optimisation and is supported by NERC (NE/W004364/1).

description: Soil moisture data collected on a prototype FiWare sensing platform. Corrections for background cosmic ray variations, air humidity and temperature were applied using weather station data from a co-deployed environmental monitoring station before being averaged over each day.
DOI: 10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc
title: Historic Standardised Groundwater level Index (SGI) for 54 UK boreholes (1891-2015) 

description: Monthly Standardised Groundwater level Index (SGI) for observation boreholes across the UK from 1891 to 2015, based on reconstructed groundwater level time series (Bloomfield et al., 2018; https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16). Standardised groundwater levels have been estimated using a non-parametric normal scores transform of groundwater level data for each calendar month. Probability estimates of an SGI being less than 0, -1, -1.5 and -2 are also provided. 
description: Monthly standardised groundwater levels have been estimated using a non-parametric normal scores transform for the data for each calendar month. The normal scores transform assigns a value to observations, in this case monthly reconstructed groundwater levels (Bloomfield et al., 2018; https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16), based on their rank within a data set, in this case groundwater levels for a given month from a given hydrograph. The normal scores transform is undertaken by applying the inverse normal cumulative distribution function to n equally spaced pi values ranging from 1/(2 n) to 1 - 1/(2 n). The values that result are the SGI values.

The quantification of uncertainty in the reconstructed groundwater levels for a given site is based on the Generalised Likelihood Uncertainty Estimation (GLUE) methodology. Parameter sets are considered to be behavioural if their Nash Sutcliffe Efficiency score exceeds 0.5. For each site, all of the behavioural groundwater level reconstructions are converted to SGI series. The probability of the SGI being within an interval on a particular date is equal to the proportion of these behavioural SGI series that fall within this interval and the probability of SGI being less than 0, -1, -1.5 and -2 is reported.
DOI: 10.5285/4d3f4c8a-5605-4990-8ca1-42f8ddf63698
title: Caterpillar counts from grass margins and hedgerows under streetlights, Oxfordshire, UK, 2018-2020

description: This dataset contains information about moth caterpillar abundance at sites lit by streetlights (LED; high pressure sodium and low-pressure sodium) and unlit control sites. Caterpillars were sampled at 26 matched pairs of lit and unlit sites between 2018 and 2020 as part of a study of the effects of street lighting on the early life stages of moths.
description: Data were generated by collecting larvae in the field using sweep netting and beating (as detailed in the methods). Data quality assurance included data collection via standardised recording forms, data entry using drop down menus and automated calculations.
DOI: 10.5285/a70ebc3a-4a11-4e7d-bae0-c9808e0cb585
title: Eddy covariance measurements of carbon dioxide, energy and water fluxes at a conservation managed fen, Wicken Sedge Fen, Cambridgeshire, UK, 2009 to 2010

description: This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at the Wicken Sedge Fen, a conservation managed lowland fen (site code: EF-LN) in the Cambridgeshire Fens, UK. Turbulent flux densities (fluxes) were monitored using the micrometeorological eddy covariance (EC) technique between 2009-03-20 to 2009-12-31, and 2010-04-09 to 2011-01-16. The dataset includes ancillary weather and soil physics observations, as well as variables that characterise atmospheric turbulence.
description: Eddy covariance (EC) flux observations were made above the grassland canopy at a measurement height of 3.95 m using an open-path eddy covariance system. Ancillary meteorological and soil physics observations were co-located with the eddy covariance station.

Turbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 7.0.6. Quality control of EC data involved removal of statistical outliers and tests based on the theoretical requirements for successful application of the EC technique. Data gaps in EC data were filled using the Marginal Distribution Sampling approach. Where possible, missing meteorological data were filled using observations collected by an automated weather station located on the Wicken Fen site.

Time series data are supplied as a single .csv file that contains tabular data according to the columns described in Table 1 in the accompanying documentation.
DOI: 10.5285/7473d4f9-c9a7-40ad-9f58-e58e25997fc5
title: Orthomosaic imagery for the South Saskatchewan River, Canada

description: Data were collected in 2015, 2016 and 2017 to provide high resolution imagery for two sections of the South Saskatchewan River, Canada. Photographs were acquired using conventional aerial plane images with a 0.06m ground resolution, captured at a height of approximately 1500m from a fixed-wing aeroplane with an UltraCamXp sensor.

Imagery was obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight orthomosaics; one for each of the two river sections on each of the four dates.

Images were collected as part of NERC project NE/L00738X/1.
description: This dataset consists of geolocated aerial orthomosaics of the South Saskatchewan River, near Outlook Canada (UTM Easting and Northing coordinates: 356500, 5712400; Latitude and Longitude: 51.5 N, 107.07 W). 
Photography was acquired to provide high resolution imagery of the river bed and surrounding valley floor on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017) and for two separate sections of the river. Images were obtained using conventional aerial plane photography with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. 
The orthomosaic was generated from the aerial photography (using up to 160 individual images for each orthomosaic) by automated image matching using the SfM program Pix4D (https://pix4d.com/) with the ‘large frame’ supplementary software package. Bundle adjustment was undertaken using Pix4D’s key point matching system optimised for aerial nadir imagery. Camera properties were specified using calibration certificates and were not allowed to vary during the calculation. 
The orthomosaic image file includes UTM Easting and Northing coordinates that can be viewed by opening the image in a GIS or other image handling software.