cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/3f22ef89-22d3-4876-a99e-7ee28f775e0e
title: Solute concentrations in water samples from clearfelled and standing Sitka spruce (Picea sitchensis) forest ecosystems, Kershope Forest

description: The dataset consists of solute concentrations (Potassium, Calcium, Magnesium, Iron, Sodium, Aluminium, Phosphate, Nitrate, Ammonium, Chlorine, Sulphate), also pH and suspended solids, in waters sampled from clear felled and standing Sitka spruce (Picea sitchensis) forest ecosystems in Kershope Forest, Cumbria, UK. Water samples were collected from the ecosystem of a Sitka spruce plantation at weekly intervals for six years. The drainage system of the site had been designed to divide the plantation into a series of artificial catchments, three of which were designated experimental plots and clearfelled in the second year of sampling while three others were the control plots which remained unfelled until the end of the study. This work formed part of a programme of field and laboratory work to determine the effects of felling plantation forest on soil processes. Samples were collected by staff from the Institute of Terrestrial Ecology (ITE) between 1981 and 1987. 
description: Samples were collected by staff from the Institute of Terrestrial Ecology (ITE), Merlewood, Grange over Sands, Cumbria between 1981 and 1987. Chemical analysis of samples was undertaken by the Chemical Analysis Section, ITE Merlewood, Cumbria. Data have since been managed by the Centre for Ecology & Hydrology. Please see online supporting information for further details.
DOI: 10.5285/4b5680d9-fdbc-40c0-96a1-4c022185303f
title: Woody habitat corridor data in South West England

description: This dataset contains polylines depicting non-woodland linear tree and shrub features in Cornwall and much of Devon, derived from lidar data collected by the Tellus South West project. Data from a lidar (light detection and ranging) survey of South West England was used with existing open source GIS datasets to map non-woodland linear features consisting of woody vegetation. The output dataset is the product of several steps of filtering and masking the lidar data using GIS landscape feature datasets available from the Tellus South West project (digital terrain model (DTM) and digital surface model (DSM)), the Ordnance Survey (OS VectorMap District and OpenMap Local, to remove buildings) and the Forestry Commission (Forestry Commission National Forest Inventory Great Britain 2015, to remove woodland parcels).  The dataset was tiled as 20 x 20 km shapefiles, coded by the bottom-left 10 km hectad name. Ground-truthing suggests an accuracy of 73.2% for hedgerow height classes.
description: The output data product has been ground truthed, suggesting an accuracy of 73.2% between field survey and modeled heghts of hedgerows (see documentation). The dataset has not been exhaustively checked for all errors. Extensive manual checking (comparison to aerial imagery) removed obvious anomalies, but many are likely to be remaining. Particular issues with misclassification of features at the coast resulted in all features within a 50 m buffer of the high water mark being removed. Some areas of tall in-field crops are probably also present as apparent low scrub, and difficulty in rendering very irregular patches of trees and scrub have created very dense or very simplistic areas of polylines.
DOI: 10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e
title: Historic reconstructions of daily river flow for 303 UK catchments (1891-2015)

description: This dataset is model output from the GR4J lumped catchment hydrology model. It provides 500 model realisations of daily river flow, in cubic metres per second (cumecs, m3/s), for 303 UK catchments for the period between 1891-2015. The modelled catchments are part of the National River Flow Archive (NRFA)  (https://nrfa.ceh.ac.uk/) and provide good spatial coverage across the UK.  These flow reconstructions were produced as part of the Research Councils UK (RCUK) funded Historic Droughts and IMPETUS projects, to provide consistent modelled daily flow data across the UK from 1891-2015, with estimates of uncertainty. This dataset is an outcome of the Historic Droughts Project (grant number: NE/L01016X/1).
The data are provided in two formats to help the user account for uncertainty: 
(1) a 500-member ensemble of daily river flow time series for each catchment, with their corresponding model parameters and evaluation metric scores of model performance. 
(2)  a single river flow time series (one corresponding to the top run of the 500), with the maximum and minimum daily limits of the 500 ensemble members.



description: The GR4J model (v 1.0.2)  was run over the calibration period (1982-2014) using 500,000 Latin Hypercube Sampled model parameter sets. These model parameters were assessed against observations from the National River Flow Archive (NRFA). For two catchments (the Thames at Kingston, and the Lea at Feildes Weir) the model was also calibrated against naturalised flows. The model was calibrated using a multi-objective approach comprising of 6 evaluation metrics: Nash Sutcliffe Efficiency (NSE), NSE on log flows (log NSE), Mean Absolute Percent Error (MAPE), Absolute Percent Bias (PBIAS), Absolute Percent Error in Mean Annual Minimum flows over a 30 day accumulation period (MAM30), and Absolute Percent Error in the flow exceeded 95% of the time (Q95).

The 500,000 model runs were then ranked by each evaluation metric, the ranks were summed, and the runs were reordered according to this final rank. Finally, in order to prevent uneven trade-offs between metrics, the runs were re-ordered according to thresholds of acceptability. 
Reconstructed flow timeseries were then run for the top 500 ranking model parameter sets, using PET (Potential Evapotranspiration) (Tanguy et al., 2017: doi https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c), and reconstructed daily rainfall data, provided by the UK Met Office.
The modelled data, and the supporting metadata files, were exported from the R software programme as comma separated value files (.csv), and ingested into the EIDC in this format.
DOI: 10.57745/zlt3tv
title: Entretien avec Vitas Baturaitis. Histoire de vie et expériences de déportation en URSS

description: Cet entretien a eu lieu le 30 août 2009 à Bratsk (région d'Irkoutsk), Russie, au domicile de l'interviewé. Il a été mené par Emilia Koustova et Larissa Salakhova, avec la participation de Alain Blum qui s'occupait de l'enregistrement. L'entretien a été réalisé en russe. Il a duré 1 heure et 38 minutes.
DOI: 10.5285/ada28810-040b-4fef-8669-b21bac64a10b
title: Spatial and temporal water chemistry data and organic matter composition from UK surface waters, 2018-2021

description: This dataset contains water chemistry and organic matter composition variables. Water chemistry variables include pH, conductivity, dissolved oxygen, dissolved organic carbon, nutrients, anions, cations and metal concentrations. Organic matter composition variables include  metrics calculated from carbon, nitrogen, hydrogen and oxygen concentrations. 
Water samples were collected from UK surface waters between 2018 and 2021. 
Water was collected from each site either annually, seasonally or monthly, to determine how organic matter varies over time and space.  Site metadata include land use and vegetation cover, catchment area and percentage peat cover. Exact locations of sites are not included, and site names are anonymised. 

description: Fieldwork instrumentation used: water samples were collected from surface waters using a 1L beaker on a 2m pole. 
Methods of collection: 50mL of water from the beaker was filtered on site into a small centrifuge tube, then kept cold and dark as possible until storage in a fridge at 4 degrees in the lab. 2-3L of water were also collected in a 5L caddy to use for organic matter extraction and analysis. 
How values were arrived at (e.g. treatments etc.): samples were analysed in the lab on analytical equipment frequently calibrated. Standards were included in every analytical run. 
Nature and units of recorded variables: each variable was recorded in suitable units, please see the metadata for full information.
Processing steps performed on the data: all values were 'sense-checked' to ensure they were possible (e.g. within known bonding restrictions) 
Quality control/assessment applied to the data: replicates were checked and all extreme values were traced back through the process to ensure there had been no errors. 
Limitations on the data’s reliability: these data represent the water chemistry of surface waters on the day they were collected.
DOI: 10.5285/f1d17e61-bb6c-47a9-a648-062c63ea7f16
title: In situ seedling growth and survival of ectomycorrhizal and arbuscular trees in a subtropical forest in China

description: This dataset reports results on seedling growth and survival for two hyphal exclusion experiments in a subtropical forest. The data include survival status, height, total biomass and the biomass of component plant parts, percentage root colonisation by mycorrhizas, for tree seedlings of ten common species including five ectomycorrhizal (ECM) and five arbuscular mycorrhizal (AM) species, which were transplanted in the in-growth cores with windows covering different sizes of nylon meshes (35 vs. 0.5 µm).

The dataset provides raw data on growth and survival metrics for each seedling, plus identifying codes for the dominant sites where the experiments were conducted, as well as experimental block, mesh treatment, botanical names for the tree species, and mycorrhizal type. The data were entered into Excel spreadsheets and exported as comma separated value files (csv). 

Study area - the Heishiding Nature Reserve (111°53’E, 23°27’N, 150-927 m a.s.l.) in Guangdong Province of south China.
description: Mesh-walled cores were assembled from 16 cm diameter × 30 cm deep PVC piping, perforated with six 8-cm-diameter windows which were regularly distributed along the side with three of them at the depth of 4-12 cm and the other three at 16-24 cm. The cores were lined with 35 µm or 0.5 µm nylon mesh (Plastok Associates Ltd, Birkenhead, UK) to cover the bottom and the windows, which was attached using transparent superglue (Pattex(R), Henkel Adhesives Ltd., Shantou, China). Nylon mesh with a pore size of 35 µm excludes roots of neighboring plants, but allows mycorrhizal hyphae access to the transplanted seedlings; while cores with a 0.5 µm mesh exclude both fine roots and hyphae, with only free-living soil microorganisms passing through. We then covered the sides and the bottoms of all cores with 2 mm nylon mesh, to prevent soil fauna damaging the smaller size meshes.
DOI: 10.5285/7ac2ba22-6915-43ca-93cc-d75b9c458b51
title: Plant growth parameters of Bengal and Assam Aus Panel (BAAP) rice cultivar seedlings under contrasting nitrogen treatments

description: The data report plant growth parameters measured on six week old rice plants grown under two contrasting nitrogen treatments. The purpose is to conduct genome wide association mapping of nitrogen response and uses 229 cultivars of the Bengal and Assam Aus Panel. Traits are plant height, shoot dry weight, tiller number and two measures from a Dualex hand-held meter, the nitrogen balance index and the chlorophyl index.  
description: Plants were grown in 8 large boxes of soil each containing one replicate of 229 plants and 600 g of local soil. There were two treatments, zero nitrogen and 100% nitrogen being 16.12 g of urea replicates and four replicates. Plants were grown under LED lights in a controlled environment growth room. At six weeks a Dualex hand held meter was used to assess chlorophyl content and nitrogen balance index. Plant height and tiller number were recorded and then the shoots were cut, dried for two days and shoot dry weight measures with a balance.
DOI: 10.5285/dbf13dd5-90cd-457a-a986-f2f9dd97e93c
title: Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2019) [CEH-GEAR]

description: 1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2019.

The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day.

The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.
description: The rainfall estimates are derived from the Met Office national database of observed precipitations. To derive the monthly estimates, monthly and daily (when complete month available) precipitation totals from the UK raingauge network are used. An additional quality control step (data already quality controlled by the Met Office) was introduced to check events greater than the 200 year return period. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall (SAAR61-90), was used to generate the daily and monthly rainfall grids. The daily grids are adjusted so that the monthly totals calculated from those are in agreement with the monthly grids. As an indicator of the quality of the estimates, the dataset also contains for each grid generated a grid containing the distance to the closest raingauge used to interpolate the grid point. A grid containing the number of missing estimates for each year is also provided. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.

This version of the CEH-GEAR dataset differs from the previous version (1890-2017) only by temporal coverage. That is, previous years' data have not been modified.
DOI: 10.5285/a5737c31-5c8d-43f3-980a-4736510d6b05
title: Soil protozoa data from Sourhope field experiment site, Scotland [NERC Soil Biodiversity Programme]

description: This set of data describes protozoa abundance and diversity in samples taken at the Sourhope experimental site in 1999 and 2000 by the Centre for Ecology & Hydrology and the University of Glasgow.  Data were collected during a project funded under the NERC Soil Biodiversity Programme.

The NERC Soil Biodiversity Thematic Programme was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).
description: Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). Soil samples were collected by students and staff at the experimental site before being processed at CEH Windermere according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.
DOI: 10.5285/bb600a56-c9cf-4fca-b9be-be3de0039a79
title: Field measurements of alkalinity, chloride-ion, conductivity, pH and nutrients in rivers (2003-2006) [LOCAR]

description: River water alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2003 and 2006. River water samples were collected fortnightly at twenty three sites within these catchments and analysed for Alkalinity pH 4.5, Ammonia, Chloride-ion, Conductivity 20 deg C, Nitrate, pH, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. The samples were collected as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline river water chemistry data across the LOCAR catchments.
description: A single sample from the main flow of the river was collected by the Catchment Service Team in that catchment and used to fill a number of bottles supplied by Thames Water Laboratory. Samples for pH and alkalinity readings were poured in a glass bottle. Samples for Phosphorus soluble reactive were filtered in the field. Unfiltered samples were used for the rest of determinands. Samples were then sent to Thames Water for analysis. They used the Seal discrete analyser to determine values for Alkalinity pH 4.5, Ammonia, Chloride-ion, Nitrate, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. pH and Conductivity probes were used for those two determinands. A duplicate and a QC sample were sent each week to Thames Water to compare results obtained by the laboratories. The data were quality controlled by Thames Water. A zip file containing box-and-whisker plots for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site is available to enable prospective users of the data to understand data quality.
DOI: 10.5285/bee7003f-90d8-412b-90b0-0c06dec9c1b6
title: Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere North Basin, 2014 to 2018

description: This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England. Monitoring began in 1945 for some variables. The data comprise surface temperature, surface oxygen saturation, Secchi depth, alkalinity, pH, ammonium, nitrate, soluble reactive phosphate, total phosphorus, dissolved reactive silicon and phytoplankton chlorophyll a.

Water samples are based on a sample integrated from 0 to 7 m. Measurements are made from a boat at a marked location at the deepest part of the lake.

All data are from January 2014 until the end of 2018 and were collected by the UK Centre for Ecology & Hydrology (UKCEH).

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
description: Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. All data are from January 2014 until the end of 2018. Samples were analysed in UKCEH laboratories.
DOI: 10.5285/e918198d-42e1-48e6-85ba-3916e20a6658
title: Channel cross-sections for the CEH River Lambourn Observatory at Boxford

description: This dataset contains channel cross-sections for the River Lambourn and Westbrook Channel at the Centre for Ecology & Hydrology (CEH) River Lambourn Observatory at Boxford, Berkshire. The CEH River Lambourn Observatory located in the county of Berkshire, UK (51.445o N 1.384o W) comprises a 600 m reach of the River Lambourn with 10 hectares of associated riparian wetland. The Westbrook Channel divides the wetland into northern and southern meadows. Channel cross-section surveys were conducted using Trimble R8TM dGPS for the Westbrook Channel in May 2013 and the River Lambourn in November 2013.
description: Channel cross-section surveys were conducted using Trimble R8TM dGPS for the Westbrook in May 2013 and the River Lambourn in November 2013. Cross-sections were surveyed at 44 locations along the Westbrook and 42 along the River Lambourn. Locations were restricted in access and line of sight by dense vegetation. For the purposes of this study, bankfull stage was observed as an abrupt change in slope, dominant bench level and, if applicable, the lower limit of riparian vegetation.
DOI: 10.5285/4ecdb4b3-3af6-4c92-abbb-20a330be398b
title: Measurement of labile metal in soils. Chemical extraction and isotopic dilution data

description: This dataset contains the concentrations of Ni, Cu, Zn, Cd and Pb, extracted from four soils, using the chemical extractants: 0.43 M HNO3, 0.43 M CH3COOH, 1 M CaCl2 and 0.05 M Na2H2EDTA (MExt mg/kg). The concentrations of isotopically exchangeable (labile) Ni, Cu, Zn, Cd and Pb (EValue mg/kg) are also given. Additionally, the concentrations of isotopically exchangeable soil metal, measured when the soils when suspended in each of the above extractants (EExt mg/kg), are presented.
description: Soils from four sites (0-20cm) were sampled, air dried and sieved to < 2mm. Soil pH was determined in soil-water suspensions and loss on ignition was used as an estimate of soil organic matter content. Three replicate soil samples were suspended in the extractants 0.43 M HNO3, 0.43 M CH3COOH, 0.05 M Na2H2EDTA and 1.0 M CaCl2. Extraction suspensions were centrifuged at 2200 G for 15 min, and supernatant solutions filtered to < 0.22µm and then acidified to 2% HNO3; samples were stored at 4°C prior to multi-element analysis by inductively coupled plasma mass spectrometry. For the determination of total soil metal concentration soil was agate ball-milled and two replicates digested with 2ml HNO3, 1ml HClO4 and 2.5ml HF. Analysis was carried out at the University of Nottingham, School of Biosciences, Division of Agricultural and Environmental Sciences, during the period 2010-1013, as part of a PhD project.
DOI: 10.5285/6ab9c89d-7ba1-4bc8-afc6-c2563f4ff49b
title: Physical and ecological characteristics of peatland gully blocks on Kinder Scout, Peak District, UK, 2021

description: This dataset contains the location, dimension, and ecological characteristics of 492 gully blocks on Kinder Scout, an upland peatland in the UK. Stone and timber dams were installed in 2013-2014 as part of peatland restoration works on Kinder Scout. The survey was undertaken to determine the longer-term (7-8 years) evolution of gully blocks. Location data for dam points was collected using a differential GPS (dGPS). Field measurements of dam dimensions and vegetation were carried out. Some dam characteristics were derived using geospatial methods. Ancillary vegetation data are provided in a separate file to the main dam survey data and can be matched on the dam identification number.  
description: Dam location was surveyed using a Leica VIVA GS10 GNSS with a rover and base station. Rover and base station data were post-processed in the Leica Infinity software, using Ordnance Survey RINEX data from the Buxton station as the fixed reference point to correct the base station position. Fixed control points were repeat surveyed during each day of surveying and used to determine the 3D quality of surveying. A 3D error of 0.03m was calculated from the repeat survey points. 
Dam dimensions, including depths and heights, were measured in the field with a meter rule and level.