cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/972599af-0cc3-4e0e-a4dc-2fab7a6dfc85
title: Bare sand, wind speed, aspect and slope at four English and Welsh coastal sand dunes, 2014-2016

description: This data contains values of bare sand area, modelled wind speed, aspect and slope at a 2.5 m spatial resolution for four UK coastal dune fields, Abberfraw (Wales), Ainsdale (England), Morfa Dyffryn (Wales), Penhale (England). Data is stored as a .csv file. Data is available for 620,756.25 m2 of dune at Abberfraw, 550,962.5 m2 of dune at Ainsdale, 1,797,756.25 m2 of dune at Morfa Dyffryn and 2,275,056.25 m2 of dune at Penhale. All values were calculated from aerial imagery and digital terrain models collected between 2014 and 2016.

For each location, areas of bare sand were mapped in QGIS using the semi-automatic classification plugin (SCP) and the minimum distance algorithm on true-colour RGB images. The slope and aspect of the dune surface at each site was calculated in QGIS from digital terrain models. Wind speed at 0.4 m above the surface of the digital terrain model at each site was calculated using a steady state computational fluid dynamics (CFD).

Data was collected to statistically test the relationship between bare sand and three abiotic physical factors on coastal dunes (wind speed, dune slope and dune slope aspect). Vertical aerial imagery was sourced from EDINA Aerial Digimap Service and digital terrain models from EDINA LIDAR Digimap Service. Wind speed data was generated and interpreted by Dr Thomas Smyth (University of Huddersfield). 
description: For each location, areas of bare sand were created in QGIS using the semi-automatic classification plugin (SCP) and the minimum distance algorithm on true-colour RGB vertical aerial images. The slope and aspect of the dune surface at each site was calculated in QGIS from digital terrain models. Wind speed at 0.4 m above the surface of the digital terrain model at each site was calculated using computational fluid dynamics (CFD).

Vertical aerial imagery was sourced from EDINA Aerial Digimap Service and digital terrain models from EDINA LIDAR Digimap Service. Data was generated and interpreted by Dr Thomas Smyth (University of Huddersfield)
DOI: 10.5285/2588ee91-6cbd-4888-86fc-81858d1bf085
title: UK Environmental Change Network (ECN) bat data: 1993-2015

description: Bat species data from the UK Environmental Change Network (ECN) terrestrial sites. The count of individual species is recorded. These data are collected while walking a defined transect using a bat detector at ECN's terrestrial sites using a standard protocol. They represent continuous records (the transects are walked four times each year) from 1993 to 2015. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.
description: Data are collected while walking a defined transect using a bat detector at all of ECN's terrestrial sites using a standard protocol,four times each year. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. 

Verification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).

Appropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.
DOI: 10.5285/a1c0f869-6e03-4902-af94-31e90ba141a0
title: Hemispherical photographs for estimation of leaf area index of Caatinga vegetation in Brazil, 2017-2019

description: The dataset contains raw hemispherical photographs of canopy structure representative for 0.5 ha permanent plots (26) across Caatinga area in Brazil. The photographs were taken between March 2017 and August 2019, using a digital camera (NIKON D100) with a Sigma 4.5 mm F2.8 fisheye lens. 

When processed the photos provide a representative value of LAI (Leaf area index) for the plot.
description: The photos were taken using a digital camera (NIKON D100) with a Sigma 4.5 mm F2.8 fisheye lens. Under overcast sky conditions one picture was taken on each intersection of four subplots resulting in a total of 36 photos in each plot for 12 plots. For other sites, one photo was taken at the centre of the subplot. Pictures were taken with the top of the camera facing North at a height of approximately 1 m. The quantity of photos for each plot may vary because in some occasions there was a problem with the trigger bottom of the camera, or rapid changes in sky conditions precluded taking a picture at that location or necessitated rejection of the image afterwards.  When processed the photos provide a representative value of LAI for the whole plot, not for individual subplots as the image, depending on vegetation height, may include tree canopies up to 20 m distance from the camera.
DOI: 10.5285/0a82a174-b7e7-4474-badc-3a520aee9111
title: Saltmarsh surface elevation change data, UK, 2023-2024

description: Presented here are compiled data of sediment accretion across UK saltmarshes. All data have been collected using globally standardised methods of monitoring sediment accretion using the rod Sediment Elevation Table – Marker Horizon (rSET-MH) methods. In 2023 UKCEH deployed sediment elevation tables in the Dornoch Firth, the Solway Firth, The Ribble, The Wash, North Norfolk and Chichester Harbour, the data for which are included here.

Sites were monitored again using the same technique in the Spring of 2024. Marker horizons cores were also taken at sites in the Wash, North Norfolk, the Ribble and Chichester Harbour.
description: Sediment elevation and marker horizon data have been collected in kind annually by collaborators using globally standardised methods.
The SET-MH sites installed by UKCEH have been monitored using a standard operating procedure and data storage method compatible with historic UK SET-MH data and other global datasets.
The collection methods and data have been checked and compiled by UKCEH on an annual basis.
DOI: 10.5285/a8d710fb-177d-467c-b2c1-2b215f582d2c
title: Vegetation map of Roudsea Wood National Nature Reserve, 1962

description: This is a digital map containing polygons representing areas of vegetation within Roudsea Wood National Nature Reserve (NNR), Cumbria.  Vegetation was mapped in the field on a basemap as parcels according to tree cover type, tree stocking rates and ground flora communities.  The map covers the western side of the reserve (the woodland).  The field map was originally created by staff at the Nature Conservancy’s Merlewood Research Station, Grange-over-Sands, Cumbria in 1962 and digitized by the Centre for Ecology & Hydrology from the original field map in 2019.


description: The field map was originally created by staff at the Nature Conservancy’s Merlewood Research Station, Grange-over-Sands, Cumbria in 1962 and digitized by the Centre for Ecology & Hydrology from the original field map in 2019.
DOI: 10.5285/cc4c656f-4e4d-4f26-af23-69b4f007e43f
title: Photosynthetic-CO2 response curves at different leaf temperatures in tropical montane rainforest tree species from Colombian Andes, 2022

description: This dataset contains information about temperature response curves of ACi (i.e., CO2 response curves of net photosynthesis) that were collected on Colombian Andean forests tree species that were planted in three, common-garden tree plantations along a 2000m altitudinal gradient. Specifically, individuals of cold- and warm-affiliated species were planted under common soil and water conditions, exposing them to the hot and cold extremes of their thermal niches, respectively.

This work was supported by the UK Natural Environment Research Council (NE/R001928/1)
description: Data collection protocol: in January – March 2022, Aci curves (i.e., CO2 response curves of net photosynthesis) were done at a pre-determined saturating light intensity of 1800 PAR (Qin in the database). Aci curves were done at different leaf temperature targets between 15 and 40 degree Celcius, with 5 degree celcius steps. Before starting any ACi curve, the leaf was allowed to acclimate at each temperature for at least 10 min and the ACi was initiated once both Anet and stomatal conductance were stable for at least 2 min. Throughout each Aci, the stability time at each CO2 reference concentration (410, 50, 100, 150, 250, 410, 800, 1200, 1600, and 2000 in this order) was set to 45 - 180 seconds, the automatic match was programmed before recording any data at each CO2 reference concentration. Measurements were taken with an LI6800 Portable Photosynthesis System under field conditions. LI6800 indicates whether there is a leak, but measurements were always done after ensuring there was no leak in the system, therefore, no subsequent leak correction was necessary. At the beginning of each measurement day, automatic warm-up test was run to detect any problem within the instrument, and only measurements were initiated when all errors have been fixed as suggested by the instrument system. The leaf temperature was derived from the thermocouple of the instrument.
DOI: 10.5285/01906784-6742-44bf-b244-a4b63bed8d82
title: Pollinator data from pan traps located in habitats comprising different floral cover in Buckinghamshire, UK

description: This dataset contains a list of pollinator species caught within pan traps from habitats comprising different floral cover. Data were collected from the Hillesden estate, Buckinghamshire in June 2015. Surveys were conducted alongside four experimental arrays of the Californian poppy, Eschscholzia californica, located with two habitats; a sown wildflower mix and bare, fallow ground. This set-up was repeated over four 100ha blocks separated at a distance greater than 500m. Pan traps comprised three water-filled circular plastic bowls (80 x 200 mm) painted with non-toxic fluorescent paint (1 yellow, 1 blue and 1 white; UV Gear, UK) placed in the centre of each array. Traps were deployed for 24 hours at each of the 16 arrays on the same day, twice weekly over the 16 day study period (totalling four surveys). Each survey was done in randomised order, between 0930 and 1700. All insects from the main pollinator groups (Hymenoptera: Apoidea, Diptera: Syrphidae and Lepidoptera) were counted and identified to species level. The intertegular span (the distance between the wing bases) of each insect from the main pollinator groups was then measured using digital callipers. The dataset was part of a larger experiment looking at the effect of floral resources on the pollination services to isolated plants.
description: All field collections and identifications were conducted by Evans, T.M, trained in pollinator identification and field ecology. Identifications were then checked by a recognised expert in the identification of bees.
DOI: 10.5285/6b8501c8-3931-4c5e-8e1b-584a6ea0d233
title: Growing season methane and nitrous oxide static chamber fluxes from Sodankylä region, Northern Finland

description: This dataset contains calculated terrestrial fluxes of methane and nitrous oxide using static chambers from the Sodankylä region of Northern Finland across both forest and wetland ecosystems. Measurements were carried out during growing season 2012 in two measurement campaigns (Summer: 12th July - 2nd August; Autumn: 22nd September - 14th October) using 60 static chambers (21 within the forest and 39 within the wetland). Fluxes were measured on approximately 2 day intervals resulting in a total of 10 measurements for all chambers during the summer campaign, and 7 for the forest and 8 for the wetland chambers during the autumn campaign. In addition to fluxes, auxiliary measurements include soil temperature, water table depth (wetland only), soil moisture (forest only) and soil respiration. 

The data was collected as part of the MAMM project (Methane and other greenhouse gases in the Arctic: Measurements, process studies and Modelling, http://arp.arctic.ac.uk/projects/) funded by the UK Natural Environment Research Council (grant NE/I029293/1) involving partners from CEH and the Finnish Meteorological Institute (Climate Change Research, FI-00101 Helsinki, Finland).
description: Field measurements were carried out by Kerry Dinsmore, Julia Drewer, Ute Skiba or Fraser Leith. Analysis was carried out at CEH Edinburgh by the fore mentioned people and additionally by Margaret Anderson. The flux program was compiled by Peter Levy and run by Kerry Dinsmore. The samples were collected from 60 individual chambers over one field season. A detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article: Dinsmore, K. J., Drewer, J., Levy, P. E., George, C., Lohila, A., Aurela, M., and Skiba, U.: Growing season CH4 and N2O fluxes from a sub-arctic landscape in northern Finland, Biogeosciences Discuss., doi:10.5194/bg-2016-238, in review, 2016.
DOI: 10.5285/1ce52c10-e3ab-4996-b9b7-052c70b3c1ba
title: Sitka spruce-associated biodiversity in the UK (Sitka spruce Ecol)

description: Here we collate a database of all known birds, bryophytes, fungi, invertebrates, lichens and mammals that use Sitka spruce (Picea sitchensis) in the UK. Sitka spruce is the most commonly planted commercial tree species in the UK. In total 564 species are listed in the database. For each species we provide a level of association with Sitka spruce, ranging from obligate (only found on Sitka spruce) to cosmopolitan (found on a wide range of other tree species). Data on the ecology of each Sitka spruce associated species were collated: part of tree used, and use made of tree (feeding, roosting, breeding). Data on use or otherwise of 34 other tree species were also collated for each of the 564 species. 
description: Existing data sources were collated during 2023/24, in order to identify as comprehensively as possible those species that use Sitka spruce, Picea sitchensis (Sitka spruce-associated species) and the nature of this association in the UK. The data sources included quality controlled databases of records of species, peer reviewed literature, published books and grey literature. A complete list of data sources used is provided together with an assessment of the quality of that data: peer reviewed or quality controlled dataset versus grey literature and whether the data are from the UK or not. Information on the species ecology and their use of 34 other tree species was also collated. The data were collated in a pre-defined standard format to enable consistency across taxa.
DOI: 10.5285/38f382d6-e39e-4e6d-9951-1f5aa04a1a8c
title: Data from automatic water monitoring buoy from Blelham Tarn, 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 Blelham Tarn, 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 Blelham Tarn 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/ac5b28ca-e087-4aec-974a-5a9f84b06595
title: Water and suspended sediment discharges for the Mekong Delta, Vietnam (2005-2015)

description: This dataset describes hourly time series of discharge and suspended sediment flux at four sites in the Vietnamese Mekong Delta (Chau Doc, Tan Chau, Can Tho and My Thaun) for the period 2005 – 2015. This data was calculated from historic Acoustic Doppler Current Profiler (aDcp)data obtained as part of routine flood monitoring conducted by the Vietnamese Hydrological Agency. The data were collated by the authors.

The data were processed to back out sediment fluxes through the delta through calibration of the acoustic backscatter signal to suspended sediment concentrations collected in Chau Doc (May 2017) and Can Tho (September 2017). For each aDcp instrument acoustic backscatter signal was calibrated to observed suspended sediment concentrations (SSCs). These concentrations values were then matched to measured acoustic backscatter values (dB) from the depth at which each sample was taken to generate power law calibration curves. To generate daily fluxes, the point specific ADCP fluxes were used to generate sediment ratings curves between sediment flux (kg/s) and discharge (m3/s). These ratings curves were then propagated over recorded daily discharge values measured by the Vietnamese hydrological agency to provide daily fluxes over the period of record.

The work was funded through NERC grant reference NE/P008100/1 - Deciphering the dominant drivers of contemporary relative sea-level change: Analysing sediment deposition and subsidence in a vulnerable mega-delta.
description: Each ADCP instruments acoustic backscatter signal was calibrated to observed suspended sediment concentrations (SSCs). These concentrations values were then matched to measured acoustic backscatter values (dB) from the depth at which each sample was taken to generate power law calibration curves.

To generate daily fluxes, the point specific ADCP fluxes were used to generate sediment ratings curves between sediment flux (kg/s) and discharge (m3/s). These ratings curves were then propagated over recorded daily discharge values measured by the Vietnamese hydrological agency to provide daily fluxes over the period of record.

Data collation was carried out in Excel. Data were provided as comma seperated value (csv) files for deposit into the EIDC.
DOI: 10.5285/1c2fe14e-0aa4-4f4a-b827-57b96deeda0d
title: Kinetics data of spherulite growth in poly(hydroxybuterate)-based systems investigated using polarised light microscopy

description: This dataset contains data recording kinetics of the spherulite growth in poly(hydroxybuterate)-based systems with various amounts of copolymer and additive (plasticiser and/or filler). The experiments were performed using polarised light microscopy. The experiments were conducted at the University of Strathclyde.
description: The data was collected at the University of Strathclyde using a DinoLite polarised microscope connected to a PC, with an additional polariser in the setup and a heated stage. The powdered sample was placed between two round coverslips cleaned with ethanol, heated up at 180 °C and placed at a heated stage equilibrated at a given temperature. The data was collected as movies. Then, images of every given timeframe dependent on the temperature (e.g. 10 s) were obtained using a VLS media player. The images were then analysed using the ImageJ programme, with the radius of the spherulite at a particular time recorded. This data obtained spherulite growth rate as tangent at radius vs time graph. To ensure data reliability, the radius was consistently measured using the same angle, starting from the centre of the spherulite and extending towards its edges, while adjusting for the best possible contrast during the measurements.
DOI: 10.5285/c9a85f7c-45e2-4201-af82-4c833b3f2c5f
title: Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by observed data (1980 to 2011)

description: Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2011 (units: m water/m soil). The data are provided in gridded netCDF files. There are separate files for Great Britain and Northern Ireland. 
To aid interpretation, two additional spatial datasets are provided:

1km x 1km grids identifying majority lake cells for a) Great Britain and b) Northern Ireland. 

The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk/, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.

description: This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031) driven by observed data. The meteorological variables used were daily precipitation (CEH-GEAR; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca), daily min and max temperature (Met Office; http://dx.doi.org/10.5285/2a62652a4fe6412693123dd6328f6dc8) and monthly 40km grids of PE for short grass (MORECS; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.
DOI: 10.5285/7525088d-e504-456a-bc55-e48d8ca85303
title: Aquatic carbon and greenhouse gas concentrations in headwater streams draining from natural, drained and restored peatland catchments in the Flow Country, Scotland, September 2008-August 2010

description: The dataset contains aquatic carbon and dissolved greenhouse gas data collected from 6 headwater stream sampling sites within the UK’s largest tract of blanket bog, the Flow Country of N. Scotland. The streams drain from catchments under different peatland management regimes: natural non-drained peatland, drained peatland, and restored peatland (achieved via ditch blocking). Sites were sampled on an approximately fortnightly basis between September 2008 and August 2010. Data were obtained via collection of water and gas samples in situ, and concentrations were derived via subsequent sample processing and analysis.
description: All data were generated by the authors. During the generation of water chemistry and dissolved greenhouse gas data, calibration standards of known concentrations were used for quality control of instrument outputs.