cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083
title: Aerial imagery of Ynyslas coastal sand dunes, Wales in 2020

description: The data contains Aerial imagery of Ynyslas Dunes, Wales saved in a GeoTiff format. The imagery covers 8000 m2 of a discrete coastal sand dune at northern distal end of a spit in Dyfi National Nature Reserve. Data was collected during a six-minute flight on 5th February 2020 made by a DJI Mavic Pro 2 uncrewed aerial vehicle (UAV). The flight was planned with Pix4DCapture based on a ground pixel resolution of 0.01 m. Lateral and longitudinal overlap was set to 80%. Prior to flying, eight (5.8 per 100 photos) Ground Control Points (GCPs) were evenly distributed throughout the dune and their location surveyed using a differential global positioning system (DGPS).

Orthorectification and mosaicking of the aerial imagery collected was performed using Pix4Dmapper utilising a fully automated workflow based on Structure-from-Motion (SFM) digital photogrammetry algorithms. The data was collected to test the accuracy and repeatability of bare sand and vegetation cover in dunes mapped from aerial imagery. Data was collected and processed by Dr Ryan Wilson (University of Huddersfield) and interpreted by Dr Thomas Smyth (University of Huddersfield). 

The work was supported by the Natural Environment Research Council NE/T00410X/1. 
description: The data was originally collected to test the accuracy and repeatability of bare sand and vegetation cover in dunes mapped from aerial imagery.

Collection method: RGB aerial imagery was collected using a DJI Mavic Pro 2 uncrewed aerial vehicle (UAV). The flight was planned with Pix4DCapture based on a ground pixel resolution of 0.01 m. Lateral and longitudinal overlap was set to 80%. Prior to flying, eight (5.8 per 100 photos) Ground Control Points (GCPs) were evenly distributed throughout the dune and their location was surveyed using a Trimble R8 differential global positioning system (DGPS). Orthorectification and mosaicking of the aerial imagery collected was performed using Pix4Dmapper utilising a fully automated workflow based on Structure-from-Motion (SFM) digital photogrammetry algorithms
Nature and Units of recorded values: Pixel values for Red, Green, and Blue at 0.01 m resolution.

Quality Control: Pix4Dmapper was used to manually identify the surveyed GCPs within the aerial imagery. By comparing the absolute coordinates of the GCPs surveyed with those for the same location within the resulting orthomosaic, a root mean square error of 0.003 m was calculated in the X, Y and Z directions, respectively, indicating a high degree of relative accuracy.
DOI: 10.5285/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d
title: Satellite-derived geomorphic river mobility for ten catchments in the Philippines, 1988-2019

description: This data set contains satellite-derived information on geomorphic river mobility for ten catchments in the Philippines. We applied the locational probability approach to map the proportion of time that a river channel occupies a particular location. We quantified satellite-derived locational probabilities for 600 km2 of riverbed. The information is useful for predicting and developing resilience to river-related hazards in dynamic landscapes.

We provide example Google Earth Engine (GEE) and MATLAB codes to replicate satellite-derived locational probability analyses, and provide outputs for each catchment. Data sets include: (1) example GEE codes to run satellite imagery analyses; (2) example MATLAB codes and data to generate locational probabilities; (3) example MATLAB codes and data to produce longitudinal analyses; and, (4) processed locational probability outputs for the ten catchments.

The work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312.
description: We calculated locational probabilities from multi-temporal Landsat imagery. We processed a 32-year record of Landsat satellite imagery between 1988-2019 into two-year time-windows and classified active channels as including both wetted channels and unvegetated alluvial deposits; analogous to the bankfull channel extent. Having quality checked and manually edited the binary active channel outputs, we calculated per-pixel locational probabilities to indicate the spatial dynamics of geomorphic river mobility. 

QA was completed by visually checking the active channel extents against available imagery. The position of classified active river channels were in good visual agreement with satellite and aerial imagery (e.g. Landsat and Google Earth imagery).

The data set is fully described in the supporting documentation and the methods section of Boothroyd et al., (2025).
DOI: 10.5285/4078678b-768f-43ff-abba-b87712f648e9
title: High-resolution hydraulic parameter maps for surface soils in tropical South America

description: Spatial data files holding gridded parameter maps of surface soil hydraulic parameters derived from a selection of pedotransfer functions. Modern land surface model simulations capture soil profile water movement through the use of soil hydraulics sub-models, but good hydraulic parameterisations are often lacking - especially in the tropics - and it is this lack that we fill here in the context of South America. Optimal hydraulic parameter values are given for the Brooks and Corey, Campbell, van Genuchten-Mualem and van Genuchten-Burdine soil hydraulic models, which are widely-used hydraulic sub-models in many land surface models (e.g. Joint UK Land Environment Simulator JULES).
description: Soil measurements have been interpolated from several sources including new and original data as well as older sources such as RADAMBRASIL http://daac.ornl.gov/LBA/guides/Pre_LBA_RADAMBrasil.html , using the polygons of the SOTERLAC soil and terrain database as a base (http://www.isric.org/projects/soter-latin-america-and-caribbean-soterlac ). All files were generated using Esri ArcGIS 10.0 at 15 arc-sec resolution (cells ~ 450 m x 450 m at the Equator) snapped to the HydroSHEDS Digital Elevation Model (http://www.hydrosheds.org/ ). All NetCDF files conform to the Climate and Forecast (CF) conventions. For more detail of all methods followed, please see Marthews et al. (2014).
DOI: 10.5285/c29d2ce1-0295-439b-adf1-98ed59f73fae
title: Time series of microbial carbon release from soil as carbon dioxide under different nitrogen and phosphorus treatments with a low glucose concentration added as a carbon source in the Conwy catchment, North Wales, UK (2016)

description: Time series data of carbon release in disintegrations per minute are presented for different nitrogen and phosphorus treatments with a low glucose concentration substrate added as a carbon source to soil samples from six depths (0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres). Soil cores were collected from a field experiment in the Conwy catchment in July 2016 and returned the laboratories of the School of Environment, Natural Resources and Geography, Bangor University. A high molecular weight substrate was added as a carbon source to the samples and the rate of 14C-substrate mineralization measured.

All the work was carried out by trained members of staff from Bangor University and the Centre for Ecology & Hydrology.
The measurements were taken to improve understanding of the relationship between microbial activity and soil properties and depth of sampling, under differing nutrient availability.

The data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.
description: Soil cores were collected from the field site and returned to laboratories of the School of Environment, Natural Resources and Geography, Bangor University. In the laboratory soil cores were divided into depth intervals of 0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres and passed through a 5 millimetre sieve in order to remove stones and any plant material and to ensure sample homogeneity. To measure the rate of 14C-substrate mineralization, 5 grams of soil (dry weight equivalent to account for soil water content variability down the soil profile) was placed into sterile 50 ml polypropylene tubes. To determine the rate of 14CO2 evolution, 50 microlitres (µl) of 14C-glucose labelled nutrient solution was added to the soil surface. Immediately after nutrient addition, a vial containing 1 millilitre (ml) Sodium Hydroxide (NaOH) trap (1 Molar (M)) was added into the polypropylene tubes to capture 14CO2 evolved. The tubes were hermetically sealed and incubated at 10 degrees Celsius to represent the mean annual temperature of the catchment. The NaOH traps were changed after 0.5, 1, 2, 4, 6, 24, 48, 72, 96, 120, 144, 168, 192, 336, 504, 672, 840 and 1008 hours and then weekly up to 6 weeks after initial 14C-labelling for the glucose-C additions. On removal, the NaOH traps were mixed with Optiphase HiSafe 3® liquid scintillation fluid (PerkinElmer Inc.) and the amount of 14CO2 captured was determined using a Wallac 1404 liquid scintillation counter (Wallac EG & G).

Data were entered into an Excel spreadsheet and exported as a .csv file for ingestion into the EIDC
DOI: 10.5285/d66ca0a6-403d-4f5a-bef1-8ee177f1e1b3
title: Soil mid-infrared spectroscopy data from arable and grassland in Countryside Survey, Great Britain 2007

description:  This dataset consists of mid-infrared (MIR) spectra measured on 427 archived soil samples from arable and grassland habitats across Great Britain in 2007. Data on diffuse reflectance spectra were obtained from subsamples of finely ground soil, recorded as absorbance values for wavenumber range 4000-400 cm-1. 

The soil samples were collected as part of the Countryside Survey monitoring programme, a unique study or 'audit' of the natural resources of the UK's countryside. The analyses were conducted as part of study aiming to quantify how soil quality indicators change across a gradient of agricultural land management and to identify conditions that determine the ability of different soils to resist and recover from perturbations.
description: Soil samples were collected in 2007 by Countryside Survey field surveyors, who were provided with a field sampling manual and underwent training for sample collection and processing. Protocols were also provided to cover all aspects of processing of the soil cores from logging in of cores as they arrived at the laboratory to basic measurements, chemical analysis and archiving the final samples. Soils were sieved to 2 mm and air-dried before storage. 

Each soil sample was scanned twice to obtain repeat spectra, with the sample cup being rotated 180 degrees between scans, and the average of these two spectra included in the dataset. Each individual spectrum (i.e. both from the paired scans) was visually inspected and those containing scanning errors were discarded.

All MIR analyses were conducted at the Organic Geochemistry Facility, BGS (contact chv@bgs.ac.uk for details).
DOI: 10.5285/fbbf2775-2f4d-478b-b59e-38aeaafaf67c
title: Macroinvertebrates of the river Conwy catchment, UK

description: The data consist of species level descriptions of macroinvertebrate communities from the Conwy catchment in Wales, UK, sampled over three years between 2008 and 2010. The water bodies studied are tributary streams of the river Conwy, Wales, UK. Sampling took place in November of each year. Macroinvertebrates were sampled using a 1 mm kick net following the RIVPACS (River Invertebrate Prediction and Classification System) field protocol. Site variables (depth, width, velocity, substrate cover, macrophyte cover) were also recorded and are supplied as supporting information. 

description: The data consist of species level descriptions of macroinvertebrate communities from the Conwy catchment in Wales, UK sampled over three years 2008 - 2010. Supporting habitat and geographical data are included.

The waterbodies studied are tributary streams of the Conwy, Wales, UK.  Sampling took place in November 2008, 2009 and 2010. Macroinvertebrates were sampled using a 1mm kick net following the RIvPACS field protocol as described in Murray-Bligh, J. A. D., Furse, M. T., Jones, F. H., Gunn, R. J. M., Dines, R. A. & Wright, J. F. (1997) Procedure for collecting and analysing macro-invertebrate samples for RIVPACS. Environment Agency and Institute of Freshwater Ecology, Bristol, UK.  

Site variables (depth, width, velocity, substrate cover, macrophyte cover) were also recorded as described in the above document.

Samples were washed into plastic sample bags, labelled and preserved with a 4% formaldehyde solution in the field. In the laboratory, samples were washed through a 500μm sieve and all macroinvertebrates were picked from the samples and identified to the lowest taxonomic level possible, usually species. Valid taxonomic names and unique taxon identification codes were provided in Davies, C. and Edwards, F.K. (2011) Code list for recording the macroinvertebrates in freshwater in the British Isles. Centre for Ecology & Hydrology, Wallingford.

Data entry was validated by crosschecking data print outs with laboratory sheets.

Map variables were derived for those point locations using the Intelligent River Network (Version 17), which was first described in Dawson, F.H., Hornby, D.D. and Hilton, J. (2002), A method for the automated extraction of environmental variables to help the classification of rivers in Britain. Aquatic Conserv: Mar. Freshw. Ecosyst., 12: 391-403. https://doi.org/10.1002/aqc.534
DOI: 10.5285/82b67a1c-489e-489c-9617-58ab0575ae61
title: Monitoring data from small mammal trapping in forest or shrubland habitats in the USA (Idaho, Kansas, Ohio, Texas), 2018-2023

description: This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in forest or shrubland habitats of Idaho, Kansas, Ohio and Texas between 2018 and 2023. The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement.
description: Animals were captured during standardized trapping surveys with Sherman traps and Tomahawk traps in systematic arrays. Trapping targeted small-medium sized rodents, carnivores and opossums. Captured animals were identified to species, marked individually, biometrics were recorded (ear size, hind foot and tail length), and tissue samples were collected, generally from the ear. The animals were then released alive. Trap and capture data are linked via a primary key field.
At each trap check, data from captured animals were recorded in the field on data sheets, and then later computerized by entering into spreadsheets. Data were checked against original field records for quality assurance and validation.
DOI: 10.5285/9457cd25-b8d6-4319-8e75-e9fdc7a171ab
title: Mass balance and channel morphology data from an experimental river experiencing flood events

description: This dataset contains data that are meant to be used in conjunction with the “Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions” dataset. There are three data files. The Sed_fluxes.csv file contains mass balance information i.e., the sediment flux injected in the channel and that collected at the outlet. The other two files detail the evolution of the channel morphology before and after each of the experimental flood events.  
description: For the sediment mass balance data, the input sediment flux depended on the sediment feeder frequency. The sediment feeder was calibrated prior to the experiment. The sediment at the outlet was collected and weighed to estimate the mass balance. An estimation of the porosity was used to account for water content. 

The channel morphology evolution data originate from the analysis of the Digital Elevation Model experiment. The morphology of the channels before and after each flood events were compared using python scripts.
DOI: 10.5285/ba9ecad2-1740-41e6-8f73-b308340d49fe
title: Meteorological and soil data from Whim Bog, Scotland, UK, 2003–2023

description: This dataset contains information about meteorological conditions, soil parameters and water table depth at Whim Bog, an ombrotrophic heather-dominated bog near Edinburgh, Scotland. Meteorological measurements were recorded at a height of 2 m above the bog on a meteorological mast which is a part of a peatland nitrogen pollution experiment established in 2002. The measurements are recorded using a wide range of automatic sensors recording continuous meteorological data reported in this dataset at 15-minute intervals. This dataset relates to measurements taken from 2003 till 2023. This long-term dataset provides a comprehensive outlook of meteorological conditions in southern Scotland over the past two decades and can help identify changing climatic trends and anomalies. 

The work was supported by UKCEH National Capability for UK Challenges Programme NE/Y006208/1.

description: Meteorological parameters such as air temperature, relative humidity, rainfall, leaf wetness, wind speed, wind direction, net radiation, total solar radiation and photosynthetically active radiation were measured above the bog. Additionally, soil moisture, temperature and water table depth were measured. All instruments measured data every 20 seconds and the average was calculated over 15-minute intervals by a data logger. The data was checked visually, and any obvious errors introduced by instrument malfunctioning, datalogger programming issues and power cuts were removed. Some gaps were also introduced during the time taken to replace faulty sensors or restore power to the sensors.
DOI: 10.5285/10b70ce2-29ac-4676-a664-b6054b5ef650
title: Environmental conditions, ozone concentration, biomass and leaf level functional trait data for 10 tropical tree species grown across a range of ozone concentrations within nine Open Top Chambers, Cairns, Australia

description: This dataset contains measurements of ozone (O3) concentrations, and environmental conditions experienced by tropical tree species grown in a series of experiments using Open Top Chambers (OTC's) conducted between July 2020 and November 2022 This also includes information on final biomass and leaf-level functional traits of experimental plants.

The species studied include Brachichyton acerifolius, Carallia brachiate, Calophyllum inophyllum, Chionanthus ramiflorus, Darlingia darlingiana, Flindersia pimenteliana, Homalanthus novo-guineensis, Inga edulis, Syzygium gustavioides, and Theobroma cacao.

Environmental variables recorded included air temperature, relative humidity and photosynthetically active radiation, alongside O3 concentrations in each of nine OTC's. While harvested plants were analysed to determine total dry-biomass and biomass partitioning as well as leaf functional traits such as leaf mass per unit are, antioxidant capacity, total phenolic content and leaf nitrogen content.

This dataset also contains the calculated phytotoxic O3 dose (POD) for each species calculated when employing the DO3SE model and parametrized function of stomatal conductance.

This data was supported by the NERC project, NE/R001812/1: Ozone impacts on tropical vegetation; implications for forest productivity (Trop-Oz).
description: Sequential experiments (average length 150 days) were conducted in nine independently controlled and monitored Open Top Chambers at the joint University of Exeter and James Cook University (JCU) TropOz research facility located on the Nguma-bada campus of JCU in Cairns, Queensland, Australia. The O3 concentrations were measured approximately every 22 minutes using an ultraviolet UV absorption O3 analyser and environmental variables were monitored in the chambers using a single meteorological monitoring station.

The plants were harvested and oven dried to determine biomass production, and dry lyophilized tissue used to determine leaf level biochemical traits. The accumulated O3 flux into leaves was estimated using the Deposition of O3 for Stomatal Exchange (DO3SE) model (Version 3.1) parametrized using leaf-level gas-exchange data collected using a portable photosynthesis analyser. 

These data were subject to standard data input and sense checking, and a full description can be found in the supporting documentation.
DOI: 10.5285/7c6cbb74-96ad-4269-bad7-51025963ef23
title: DNA metabarcoding, plant community and soil environmental data from a 15-month DNA application experiment in southern Iceland, June 2023-October 2024

description: The datasets originate from a field experiment designed to assess the mobility and longevity of DNA in a soil environment. We applied radish DNA - in the form of leaves (solid treatment) and PCR product (liquid treatment) to experimental plots in southern Iceland. We sampled the soil from different depths under the plots over a period of 15 months, looking for traces of radish DNA. The dataset encompasses 1) DNA metabarcoding data (plants) derived from soil samples; 2) a survey of extant plant communities; 3) a record of near-surface soil temperatures for the duration of the experiment; and 4) data quantifying the decomposition of radish leaves applied to the plots. The radish DNA was applied to six experimental plots in June 2023; soil samples were collected from below the plots in May 2024 (M24) and October 2024 (O24). DNA extraction and PCR was conducted by Dr Doreen Huang (University of Southampton). DNA from the soil samples was sequenced by a commercial third party (Novogene).
description: Field data: The radish DNA was applied to six experimental plots in June 2023 as radish leaves and liquid PCR product. Replicate soil samples were collected from depths of 5 cm and 20 cm below the plots in October 2023 and May 2024. Samples were collected from the soil surface in September 2024, after which the experiment was discontinued. Soil temperatures were recorded for 332 days at hourly intervals using an iButton soil temperature logger. The decomposition of the radish leaves was calculated by weighing the mesh bags carrying the leaves at the beginning and end of the experiment. Plant community composition was evaluated by a visual estimate of proportional cover (Domin scale) within each plot.

Laboratory analysis: DNA was extracted using DNeasy PowerSoil Pro Kit (QIAGEN). Plant DNA was amplified in six replicate PCRs. After PCR, the samples and PCR negatives were pooled and purified with QIAquick PCR purification kit (QIAGEN). PCR-free library preparation was carried out by a commercial DNA sequencing company (Novogene) on an Illumina NovaSeq 6000 PE250 platform.
DOI: 10.5285/3df031ad-34ec-4abc-8528-f8f20bad12b8
title: Hourly precipitation data for Kampala, Uganda, 2019-2020

description: Hourly precipitation (mm) recorded at distributed points around Kampala between April 2019 and March 2020. Only timestamps where data were available from all sensors have been included. There are 8094 records in total and no missing values. Timestamps are recorded as “YYYY-MM-DD hh:mm:ss”. The geographic coordinates of the sensors are provided in GeoJSON format. The column names in the CSV file correspond to the “id” field in the GeoJSON file. 
description: Davis Vantage VUE Sensor Suites were installed by researchers from Makerere University and Newcastle University in April 2019. Calibration is not required for the sensors employed in this research. No quality control procedures have been applied.