cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/94abcb39-84a6-428e-a90f-156452197d79
title: Data from automatic water monitoring buoy from Esthwaite Water, 2008 to 2011

description: This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Esthwaite Water, 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 2008 and 2011 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail.
description: Data from the automatic water quality buoy on Esthwaite Waiter are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2008 to 2011. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.
DOI: 10.5285/4d93f9ac-68e3-49cf-8a41-4d02a7ead81a
title: Woodlands survey tree diameter data 1971-2001

description: The dataset consists of diameter at breast height (DBH) measurements taken from trees and shrubs recorded in plots in 103 woodland sites surveyed across Great Britain in 1971 and again over the growing seasons of 2000, 2002 and 2003 (referred to as '2001 survey'), using exactly the same field methods.  Data were collected under projects managed by The Nature Conservancy (in 1971) and the Centre for Ecology & Hydrology (in 2001).   
description: Data were collected on paper from 103 woodlands by field surveyors employed by The Nature Conservancy, Merlewood Research Station, Cumbria (in 1971) and employed under a project managed by the Centre for Ecology & Hydrology (in 2000-2003). Extensive training was undertaken by surveyors. Collected data were double punched into spreadsheets as a form of quality control before being compiled into a database. Data collected are available as 4 separate datasets: flora data, soil data, tree diameter data and site details.
DOI: 10.5285/82c63533-529e-47b9-8e78-51b27028cc7f
title: Landscape and habitat area data from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016

description: This data set consists of measurements of areas of landscape features and associated attributes from sites across Wales, collected between 2013 and 2016.  Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant species and land use), within a set of 300 x 1km squares across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). 

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 UK Centre for Ecology & Hydrology.
description: The data were recorded using electronic data capture devices in the summers of 2013-2016 by professional surveyors. Data were recorded from 300 x 1km squares sited across Wales, selected by random stratified sample. The survey was managed by the UK Centre for Ecology & Hydrology.  Standardised methodologies were applied throughout.

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: 10.5285/029c060d-a061-4e27-96ff-c0826351e7e3
title: Water table depth data from Climoor fieldsite in Clocaenog Forest 2009 - 2015

description: This dataset includes manual measurements in centimetres from the surface of the soil of water table depth at the Climoor fieldsite in the Clocaenog Forest, north-east Wales. Water table depth was collected via water permeable tubes installed through the soil profile down to bedrock. Measurements were taken, usually every two weeks, using a tape measure and head torch to assist in seeing the water level in the tube. Data was collected by CEH staff and PhD students trained in the use of the methods. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20-30 years. Data are available from May 2009 to March 2015.
description: Data was collected manually by measuring with a tape measure the depth of water table, accessible via water permeable pipes installed down to the bedrock within the soil profile (maximum depth 39cm). Data was written on fieldsheets in the field, then manually entered into the raw data master file on return to the office.
DOI: 10.5285/34d6f9e8-8dbd-42f7-9108-f1b21960d35e
title: Seasonal abundance data of all Culex pipiens life stages at a UK field site

description: This dataset contains details of the seasonal abundance of each of the life stages of the mosquito species, Culex pipiens, at a field site located at the Centre for Ecology & Hydrology in Wallingford.  Immature life stages (eggs, larvae and pupae) were monitored three times per week from March until October 2015, whilst adult counts were taken four times per week from April until October in the same year. Immature Cx. pipiens were monitored using 450 litre circular water butts, sampled using a standard dipping procedure. Adults were monitored using light traps. The adult data also includes counts for mosquito species Culiseta annulata and Aedes geniculatus.
description: Larval and pupal numbers were calculated by taking photos of the contents of each dip and counting on Microsoft paint. The validity of counting from photos was checked by comparing direct counts from the tray with counts from photos on the first two days of sampling and the estimates were observed to be consistent.
DOI: 10.5285/78a2cab5-dca5-411b-ac5b-c2c080928b1d
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) locations, elevations and proximity metrics 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. 

We combined spatial data relating to the environs of the study sites from a number of sources (Ordnance Survey Digital Terrain Models, Ordnance Survey Boundary Line, Environment Agency Saltmarsh Extents, Natural England Priority Habitat Inventory). These were rasterised and quadrat values were extracted on a pointwise basis for elevation and proximity (distance to creek, habitat edge and high water mark). Tidal height was calculated with reference to the relevant Tidal Gauge and Admiralty Standard Port information.

This data was derived 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: Quadrat locations were taken from GPS readings collected during the CBESS survey programme (OSGB coordinates). Rasterised Digital Terrain Model data at 5 and 50 m horizontal resolution was downloaded from Edina Digimap (Edina.ac.uk), and elevation values at quadrat locations were extracted using R (www.r-project.org; Raster/Maptools packages). Tidal range at relevant Admiralty Standard Ports and adjustment applicable at relevant local tidal gauge were identified, and Mean Low Water Springs and Mean High Water Springs were converted to Ordnance Datum. Tidal height (elevation relative to the difference between Mean Low Water Springs and Mean High Water Springs) was computed at each quadrat for GPS and DTM derived elevations.

Saltmarsh and mudflat boundary data were downloaded from the Environment Agency and Natural England Priority Habitats Inventory. Mean High Water line was extracted from Ordnance Survey Boundary Line data, and land edge from Ordnance Survey Vector Map data. Line shapefiles were converted to rasters with 5 and 50 m horizontal resolution (matching OS DTM grid) using R. Distance to creek edge and high water line (saltmarsh only), and land edge (mudflat only) was calculated in R using 5 m resolution rasterised shapefiles.
DOI: 10.5285/11f9dd8a-6dac-40e0-b756-05e1f32171f8
title: Eddy covariance measurements of carbon dioxide, energy and water fluxes at a cropland, Yorkshire, UK, 2021-2023

description: The dataset includes 30-minute observations of land-atmosphere exchange of net ecosystem carbon dioxide exchange and sensible and latent heat measured over two years in a cropland in Yorkshire, UK. Fluxes were measured using the eddy covariance method.
description: Fluxes of net ecosystem carbon dioxide exchange, sensible heat, latent heat, atmospheric turbulence and sonic temperature were measured and averaged into 30-minute observations using a LI-COR LI-7200RS enclosed infrared CO2/H2O gas analyser and Gill Windmaster three-dimensional sonic anemometer. Energy fluxes were measured with an Apogee SN-500 net radiometer. Air temperature and relative humidity were measured using a Vaisala HMP155 temperature and humidity probe. Soil temperature and moisture were measured using a METER TEROS 11 temperature and moisture probe.
Data was logged with a Campbell Scientific CR1000X datalogger.
Fluxes were calculated using EddyPro7 V7.0.6 software.
Outliers were removed and gap-filling was done according to a standardized workflow. See the supporting information for more details.
DOI: 10.5285/467a735f-b03c-4c30-8781-82f0e11aec28
title: Real-world fuel data from forest plots and input configuration for simulations of wildfires in Fire Dynamics Simulator (FDS), Oregon, USA, 2019

description: This dataset contains inputs for wildfire simulations in Fire Dynamics Simulator (FDS) in forest environments. It includes five segmented point clouds in LAS format, representing different fuel classes from a forest plot, each with an associated BDF (Bulk Density Files) file. The forest plot consists of a 40 x 40 m Pinus ponderosa plot scanned with a Riegl-VZ400i in Sycan Marsh, Oregon, USA, during the summer of 2019. The dataset also contains Fire Dynamics Simulator (FDS) input files detailing the configuration for three separate simulations. These resources support modelling and simulation efforts to better understand fire behaviour in forest ecosystems.
description: Point clouds of a Pinus ponderosa stand in Sycan Marsh, Oregon, USA were acquired on 10/07/2019. These point clouds were segmented into five fuel classes. For each of the fuel classes, a BDF file was created by calculating the density of points for each 10 x 10 x 10cm section of the forest. 
Parameters were determined for three simulation scenarios, detailing the environmental conditions, fuel properties, and fire ignition points. These data make up the input configuration for three simulations run in the Fire Dynamics Simulator.
DOI: 10.5285/75b1f669-66b3-472b-9d31-eda908826e17
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) Normalised Difference Vegetation Index (NDVI) in saltmarsh and mudflat habitats

description: The Normalised Difference Vegetation Index (NDVI) dataset details surface reflectance measured as NDVI. NDVI provides a proxy for the amount and/or the relative 'greenness' of vegetation. 

Data collection was carried out at six intertidal sites in the winter and summer of 2013. 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 saltmarsh area and adjacent mudflat area, twenty two sampling quadrats were placed on each area. A single NDVI observation was taken at each quadrat.

Spectral reflectance was measured using a portable spectrometer.

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). These quadrats are common to all CBESS quadrat data. NDVI measurements were obtained before any destructive harvesting of the quadrats. 

An OceanOptics USB2000 spectrometer with a 1.5 m fibre optic was used in all measurements. OOIBase32 Version 2.0.1.3 was used to log data on a laptop. Reflectance measurements were taken at 1.5 m above the ground surface. At each quadrat: 1) the integration time of the spectrometer was adjusted such that the peak of the white reference spectra was approx 75% of the spectrometers maximum level; 2) for short integration times (<100 ms) spectral averaging was used to reduce measurement noise; 3) a dark measurement was recorded; 4) a white reference measurement was recorded; and 5) the reflectance measurement was made. A note is made of the number of the OOBase files associated with the quadrat number and percentage cloud and water cover of the quadrat and any other relevant information are taken. NDVI is calculated in Matlab.
DOI: 10.5285/7f5b221e-d251-4bac-9252-16b4553dc345
title: Physico-chemical water properties and greenhouse gas measurements across a tidal cycle, Clyde estuary, Scotland, 2020-2022

description: Greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the changes in GHG from a single point in the middle of the estuary (Breahead pontoon) through a tidal cycle at both the surface and bed so the impact of tidal river flow and stratification can be understood.


description: The field data were collected between Aug 2020 and May 2022 on the Clyde estuary from the Breahead ponton across 7 surveys where data was measured through a tidal cycle and where data was collected both near the surface and near the bed on the Clyde estuary in Scotland.   Samples were analysed within the lab at UKCEH Edinburgh as part of an IAPETUS 2 DTP NERC funded PHD.  
Data were carefully quality controlled to check analytical methods data were correct including cross checking of data from different and methodologies and between surveys.   Any suspect data have been removed.
DOI: 10.5285/8162887a-5481-440f-a7f2-427eee793efd
title: High resolution burn severity data (derived from satellite imagery) for the South Fork McKenzie River in Oregon, USA, before and after a wildfire event, 2020 and 2021

description: The data comprise Sentinel-2 derived burn severity rasters covering restored and unrestored reaches of the South Fork McKenzie river, Oregon USA. The data were collected in order to quantify differences in burn severity in restored and unrestored river reaches following the Holiday Farm wildfire in 2020.

Raw satellite imagery acquired in June 2020 and June 2021 was processed to calculate Normalised Burn Ratio (NBR), giving pre- and post-fire burn severity information. Data consist of 10 m .TIF raster imagery where a digital number gives a measure of burn severity; high NBR values indicate healthy vegetation, whereas lower values indicate burnt areas or bare ground.

The study was conducted by the University of Nottingham, in partnership with 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: 20 m bands of Two Sentinel-2A images of study site (pre/post-fire; June 2020 and 2021) were super-resolved to 10m following Lanaras et al (2018)

These data were subsequently used to generate raster files depicting 10m resolution Normalised Burn Ratio (NBR) across South Fork McKenzie River, where NBR = (Sentinel Band B08 - B12) / (B08 + B12), following the methodology outlined in Keeley (2009).  Subtraction of postfire from prefire NBR rasters facilitates estimation of burn severity by highlighting vegetation burn in relation to pre-burnt state.

Lanaras, C., Bioucas-Dias, J., Galliani, S., Baltsavias, E., & Schindler, K. (2018). Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 305-319 https://doi.org/10.1016/j.isprsjprs.2018.09.018

Keeley, J.E. (2009). Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire, 18, 116-126. https://doi.org/10.1071/WF07049
DOI: 10.5285/a1ab8c79-3426-43a4-ab42-6d1b218d1cc6
title: Elemental concentrations in representative species of the ICRP's Reference Animals and Plants and associated soils in terrestrial Mediterranean ecosystems in Spain

description: Data comprise stable element concentrations in terrestrial Reference Animals and Plants (RAPs) and corresponding whole-body concentration ratios determined in two different Mediterranean ecosystems: a Pinewood and a Dehesa (grassland with disperse tree cover). The International Commission on Radiological Protection (ICRP) RAPs considered in the Pinewood ecosystem were Pine Tree and Wild Grass; whereas in the Dehesa ecosystem those considered were Deer, Rat, Earthworm, Bee, Frog, Duck and Wild Grass.

The data include: elemental concentrations in soils; elemental concentrations in  plants, invertebrates, vertebrate tissues and estimated concentrations for vertebrate whole-organisms; individual concentration ratios (relating the fresh matter concentration in organisms to the dry matter concentration in soil); vertebrate species tissue masses; fresh to dry matter data for invertebrate species; geometric and arithmetic mean and standard deviation summaries for elemental concentrations and concentration ratios.

Elemental concentrations presented include  I, Li, Be, B, Na, Mg, Al, P, S, K. Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Rb, Sr, Mo, Ag, Cd, Cs, Ba, Tl, Pb and U.
description: Samples of earthworms (Lumbricidae spp), bees (Apis mellifera), frogs (Pelophylax perezi), rats (Apodemus sylvaticus), deer (Cervus elaphus): duck (Anas platyrhynchos), wild grass (Briza minor), pine tree and soil were collected. Samples were prepared for analysis (dried and ground where applicable) and digested prior to ICP-MS analysis. Iodine analysis was also performed. Full materials and methods available by downloading the supporting documentation.
DOI: 10.5285/dd7099e9-4aad-4e02-b31b-512f20628cf6
title: Passive sampler ammonia measurements indoors and outdoors at a rural dwelling in South Lanarkshire (2017-2018)

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 in the hall 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 2017 to November 2018. Samplers are exposed in monthly cycles at the beginning of each month.
description: Local site operator duties are completed by dwelling owner 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.
DOI: 10.5285/22706f2d-2070-425f-b570-d73089359b35
title: Fluvial hydrochemistry, CO2 efflux and delta 13C-Dissolved inorganic carbon data for the Houzhai Catchment, Southwest China, 2016-2018

description: The dataset contains measurements of CO2 efflux from streams, springs, reservoirs and ponds in the Houzhai catchment, a typical karst catchment in the karst region of SW China. 

Data were obtained via direct, field-based measurements during monthly campaigns conducted between January 2016 and February 2017. Also included are water chemistry parameters (water temperature, pH, dissolved oxygen, electronic conductivity, concentration of dissolved inorganic carbon (DIC) and isotopic composition of dissolved inorganic carbon (δ13C-DIC)) and flow velocity (determined prior to in-situ flux measurements).

The data were collected under the NERC-funded project: Addressing a significant knowledge gap in fluvial system atmospheric CO2 efflux: the contribution from karst landscapes (NE/N002806/1).
description: All data were generated by the authors. The flux rate was measured over four minutes, repeated three times to obtain a mean rate of increase.For data generated via mass spectrometry, beam areas of all measured mass-to-charge ratios were corrected for drift offline using control standards. All calculations were checked for errors before data was accepted.
DOI: 10.5285/b8a66584-da67-49e5-a0b0-d8e0b3e75b99
title: Cover of Land Cover Map 2007 broad habitat classes in the upstream catchment of the 20 Wessex chalkstream sites, England, UK

description: The data consists of a matrix of twelve land cover classes by 20 stream sites with the area of each land cover class given in km^2. 

The areal coverage (km2) of each of twelve land cover classes was recorded for each of 20 chalkstream catchments in southern England. The 20 discrete chalkstream catchments are distributed along the white chalk geology extending from Dorset in the south west, through Wiltshire, to Hampshire in the north east, to cover a gradient of catchment land cover intensification from extensive calcareous grassland and woodland through to arable and improved grasslands. These data were acquired in July 2012. This dataset was created as part of work package 3.1 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project.
description: Stream site co-ordinates were put through the WINFAP-Flood Estimation Handbook 3 software (Wallingford HydroSolutions, 2012) to generate upstream catchment shapefiles at 50m2 resolution. The upstream catchment shapefiles were used to 'cookie-cut' land cover data for each catchment from the Land Cover Map 2007 (LCM2007) layer (using the Clip feature within ArcGIS). Each of the catchment shapefiles were visually checked to ensure that they were generated without error, prior to using them to Clip the LCM2007 layer.