cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/05e5d538-6be7-476d-9141-76d9328738a4
title: Distribution of ash trees in woody linear features in Great Britain

description: The dataset consists of a distribution map of ash trees (Fraxinus excelsior) within woody linear features across Great Britain. The data is derived from Countryside Survey 2007 and includes trees recorded in lines of trees of a natural shape and lines of trees of an unnatural shape. Trees were mapped in 569 1km sample squares across Britain, and this national estimate dataset was derived from the sample data using ITE Land Classes.
description: Data were collected as part of the Countryside Survey monitoring project in 2007. Data were collected from 591 1km sample squares and scaled up to national estimates using the ITE Land Classification. See supporting documentation for further information.
DOI: 10.5285/b57ef444-54d4-47f9-8cbf-3cfef1182b55
title: Sedimentological and organic carbon data from the Kyle of Tongue saltmarsh, Scotland, 2018

description: The dataset comprises of physical property and biogeochemical measurements of saltmarsh soil collected using the hammer coring technique from the Kyle of Tongue saltmarsh in the North of Scotland.  The site was chosen to represent northern, loch head marshes and to test different coring techniques in organic rich soils. The data provides a quantitative measure of the dry bulk density, water content, porosity and organic carbon content present within the soils of the Kyle of Tongue saltmarsh. A total of four cores were collected, 39 samples were collected at 10 cm intervals down the length of each core. The samples were processed for bulk density, water content, porosity and organic carbon content which was quantified through elemental analysis. The data were collected to help create a detailed picture of saltmarsh carbon storage in the soils of UK saltmarsh and test different coring approaches. The cores were collected by the data authors in November 2018.

The work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1 
description: Soil cores were collected using the hammer coring technique, where a PVC pipe was manually driven into the soil. The location of the cores was recorded using DGPS. Prior to analysis, the cores were split, the soil profile described using the Troel-smith scheme and fixed volumetric (4 cm^3) samples collected at 10 cm intervals down the length of each core.  Dry bulk density, water content, porosity and  organic carbon data was produced using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.
DOI: 10.5285/cfac5ef3-ad12-4f88-acd8-509e0795d5ed
title: Plynlimon research catchment hydrochemistry (2019-2023)

description: This dataset includes stream and rainfall hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from March 2019 to March 2023. Sampling was carried out every four weeks, apart from a period of five months when access was restricted due to the Covid pandemic. Stream samples were taken using a grab technique and filtered in the field. Rain samples were collected using bulk precipitation collectors. Data are presented for major anions and cations, pH, conductivity, alkalinity and in-situ measurements for the water temperature and stream flow for the six stream locations and air temperature and volume for the rainfall sites.
description: These data presented follow on from the hydrochemical data sets presented in the data series Plynlimon Hydrochemistry data. The Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research. Monitoring is funded by the Centre for Ecology & Hydrology, and is ongoing since 1968.
Fieldwork was carried out by UKCEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified UKCEH chemists at laboratories at UKCEH Lancaster and UKCEH Bangor. Data was being checked and added to an Access database before being extracted to csv and uploaded to EIDC.
DOI: 10.5285/806eea81-1071-45af-a51e-d78f2a5fcd09
title: Demographic characteristics and habitat of Pyracantha angustifolia collected from Northwest Argentina, May 2019

description: The dataset contains fruit counts (and counts of seeds within fruits), size measurements, and habitat characteristics for Pyracantha angustifolia, in Tafi Del Valle (Northwest Argentina). Data were obtained from field-based measurements of shrub characteristics in May 2019, when Pyracantha is fruiting. Also included are growth ring counts for shrubs of different sized used to predict the age of shrubs within the dataset.
description: The number of saplings of Pyracantha (greater than 10cm tall and non-reproductive), number of reproductive adults and habitat type (grassland, shrubland, rocky) were recorded at each study plot. For each reproductive adult we measured the basal stem diameter of the main stem, height of the plant and canopy diameter (along the four cardinal directions). We recorded whether the plant showed visible signs of damage by grazers and we counted fruit on segments comprising one eighth of the projected canopy area. Fruit production per plant was determined by multiplying this value by eight for a total of 309 reproductive adults of known size.

To determine estimates of plant age we harvested 32 shrubs at ground level and removed a cylindrical block of stem from the base of the main stem. One cross-section on each sample was sanded to produce a smooth surface. Growth rings were counted based on observation of denser and darker coloured latewood bands, which are assumed to represent annual growth rings. This count was repeated by four observers.
DOI: 10.5285/f587847a-7505-4fd8-99db-b99cc0285f9f
title: Nitrous oxide and methane fluxes from different riparian restoration treatments in oil palm plantations in Riau, Indonesia 2019-2021

description: This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in riparian buffers of oil palm plantations on mineral soil, in Riau, Sumatra, Indonesia.  Measurements were made monthly, from January 2019 until September 2021, with a break from April 2019 to October 2019 to allow for felling and replanting, and another break from January 2021 to June 2021 due to Covid-19 restrictions. To help to reduce the environmental impact of oil palm plantations, riparian buffers are now required by regulations in many Southeast Asian countries.  The experiments were conducted to investigate the impact of greenhouse gas emissions from the riparian buffers.

Research was funded through NERC grant NE/R000131/1 Sustainable Use of Natural Resources to Improve Human Health and Support Economic Development (SUNRISE)
description: Greenhouse gas concentrations were measured using static chambers, enclosed for 45 minutes. Multiple regressions (including linear and hierarchical multiple regression) were fitted to calculate the best fit flux, using the RCflux R package, written by Dr Peter Levy (UKCEH).
DOI: 10.5285/c7148c20-c6b3-43e1-9f99-b6e38e4dfdaf
title: Past deforestation (2000-2018) and future deforestation probability (2019-2053) for Wallacea

description: Primary forest cover and forest cover loss in Wallacea for the years 2000-2018 to train a deforestation model and produce maps of projected probability of deforestation until 2053.
description: The data were generated using primary forest maps including mangroves and yearly forest loss maps for Wallacea. The projections were produced using a spatio-temporally explicit and dynamic deforestation modelling approach.
DOI: 10.5285/756d3a73-ca93-456f-8c0a-e767fb9f82a8
title: Structure-from-Motion photogrammetry data of topographic changes from seven erosion plots on Iron Tongue Hill, Tameside, UK, 2018-2019

description: This dataset contains details of digital elevation models (DEM) and orthomosaic photographs (orthophotos) of seven 5 x 5 m erosion plots on Iron Tongue Hill, Tameside, Manchester. Plots were surveyed on ten occasions in 2018/2019 following a severe moorland wildfire (July 2018). Plots were surveyed using ground-based photogrammetry and Struture-from-Motion methods. The work was supported by the Natural Environment Research Council (Grant NE/S011560/1).
description: Using 40-60 ground based photographs per survey Structure-from-Motion (SfM) photgrammetric models have been created. A dense SfM point cloud was generated in Agisoft Photoscan (Metashape). Ground Control Point coordinates were used to scale and georeference the point clouds based upon the dGPS coordinates recorded in the field. The cleaned DEM dense point cloud and 1 mm/pixel resolution orthomosaic were exported as .tif files for later analysis.
DOI: 10.5285/aff674ee-cf95-4378-b002-f41c0a5a6a4e
title: Bird abundance and diversity data from Sheffield green spaces in summer 2018

description: The data records bird species and number in different green spaces within Sheffield City Region during June and July 2018. Activity of individual birds is also noted. Ten green spaces (parks) were surveyed on three occasions, with a researcher walking along six pre-designated line transects in each location. Birds were recorded by their common names and British Trust for Ornithology (BTO) code. Date and time were recorded for each observation. 

The data was collected as part of the NERC IWUN Project (Improving well-being through urban nature).
description: The first survey (rep 1) was conducted between 6-22 June 2018, the second (rep 2) between 27 June and 10 July 2018 and the third (rep 3) between 11 and 18 July 2018. Surveys were carried out in the early morning (05:30 to 09:30). Transects were 60 m long and were selected to provide stratified sampling, in an attempt to ensure all habitats were observed within each green space. Transect lines did not overlap. The researcher walked slowly along the transect lines noting any birds on either side of the line, within designated ranges (0-25 m, 26-50 m and 51-100 m). A single experienced ecologist was employed throughout for consistency, and used binoculars to verify more distant sightings. The data sheet was checked to ensure data was logical. There is no guarantee that certain birds were not counted twice, but as the methodology was systematic, the assumption is that the error potential was consistent throughout the entire data set.
DOI: 10.5285/4bf6228f-ce3d-449e-9438-c4b5c8291256
title: Operational taxonomic units for soil eukaryotes in the rivers Wolf and Tamar catchments

description: This dataset contains operational taxonomic units for soil eukaryotes from the Wolf and Tamar catchments . A range of soils were targeted from the Tamar region comprising a range of land uses. Approximate location of sampling sites was determined from maps to provide good spatial coverage of the catchment. Exact sites were determined in the field, considering accessibility and other logistic, and soils taken. The exact location of each sample site was determined using a Garmin GPS12. Soil samples were kept in the cold and removed to the laboratory for analyses. 
description: Samples were kept in the cold and removed to the laboratory for analyses. DNA was extracted from all soil and epilithon samples using the MOBIO Powersoil 96 well DNA extraction kit. DNA was quality checked for purity and yield prior to submission for 454 pyrosequencing to assess both bacterial and eukaryotic biodiversity within each sample. Following bioinformatic sequence processing, sequencing were clustered into operational taxonomic units (OTU) and the data tables display the percentage of each OTU within each sample.
DOI: 10.5285/5b400b69-b828-45e8-b04e-7ccbfdb0987f
title: The seed set of Eschscholzia californica plants introduced into habitats comprising different floral cover

description: This dataset contains seed counts of Eschscholzia californica plants introduced to form experimental arrays within habitats comprising different floral cover. Data was collected in June 2015 at the Hillesden estate, Buckinghamshire, UK. Experimental arrays comprised of three E.californica plants separated by 1m and arranged in a triangular formation. A total of sixteen arrays were introduced across four 100 hectare replicate blocks, each separated by >500m. At the centre of each block, four experimental arrays were placed at 50m intervals along a 150m transect laid symmetrically across the boundary between an established wildflower patch and bare, fallow ground or grazed grassland (two arrays within the florally rich habitat and two arrays within the florally poor habitat). On each plant, the seed set was measured for flowers which were exposed and excluded from pollinators to determine the effects of habitat context on plant reproduction. The dataset was part of a larger experiment looking at the effect of floral resources on the pollination services to isolated plants. 
description: The same experimental protocol was followed for all Eschscholzia californica plants. All open flowers were removed from the plants prior to their placement in pre-marked locations across the landscape. One bud on each plant was covered in a fine muslin to represent a 'pollinator excluded' flower. Plants remained in the field for 16 days to ensure full anthesis of new flowers and to allow for multiple pollination events. After this period, all fruit were tagged to ensure that only fruit development arising from the period of the field experiment were included in analyses. Plants were then collected and stored under controlled glasshouse conditions until fruit maturation. Upon maturation, tagged fruit were collected and the number of filled seeds per fruit were counted to quantify seed set per fruit. Data are provided as collected.
DOI: 10.5285/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21
title: Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2024

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 Esthwaite Tarn in Cumbria, England. The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. All data are from January 2024 until the end of 2024.
description: Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data for TEMP, OXYG, SECC, ALKA, pH, PO4P and TOCA has been double entered by different people into excel from field notebooks or laboratory paper record sheets and validated by a database manager. The database manager checked all data visually (line graphs). Missing data are due to weather conditions, equipment limitations, or staff shortage.
Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore along with surface temperature and oxygen measurements. Water samples were not integrated on these occasions, marked as Flag 2.
DOI: 10.5285/b1e2fb9c-8c34-490a-b6ae-2fdf6b460726
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) meteorological data from Cartmel Sands, Morecambe

description: The meteorological data describes the air and soil temperatures, net radiation balance, down-welling photosynthetically active radiation, wind speed, wind direction and the vapour pressure deficit.

Data collection was carried out at Cartmel Sands marsh from the 31st of May 2013 till the 26th of January 2015. The Cartmel Sands site is in Morecambe, North West England, and the meteorological tower was situated in the middle of the marsh. 

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: Measurements are recorded on a Campbell Scientific (CS) CR5000 datalogger. The wind direction and wind speed are measured at 10 Hz by a CS CSAT3 anemometer installed at 4.3 m on a lattice tower. The remaining variables are record every 15 minutes. Air temperature and humidity is measured with Vaisala MP103A and then converted to Vapour Pressure deficit (VPD). Precipitation is record by an Environmental Measurements Limited (EML) ARG100 tipping bucket rain gauge. Net radiation is measured with a Kipp and Zonen NR Lite. Photosynthetically active radiation (PAR) is measured with a Skye Instruments SKP215. Soil temperatures are measured with type T thermocouples.

Mean half hourly values were calculated in Matlab. The time refers to the middle of the half hourly period. E.g. 00:15 refers to the half hour from (and including) 00:00 up to (but not including) 00:30.
DOI: 10.5285/b2b5498c-8eef-44b0-9610-844784f9f16b
title: Reflectance of charcoal from tropical rainforest plots in southern Amazonia, Brazil and southwestern Amazonia, Peru, 2015

description: This dataset includes charcoal reflectance measurements. The charcoal pieces were collected from the soil surface in tropical rainforest plots in Feliz Natal (southern Brazil, n= 75) and Pucallpa (Peru, n=14) in 2015. In total, 89 charcoal pieces were measured for reflectance. The reflectance measurements were taken in a minimum of 24 and a maximum of 70 repetitions per sample.

description: The charcoals pieces were collected from soil surface (0-5 cm depth) in tropical rainforest plots in Feliz Natal (southern Brazil, n= 75) and Pucallpa (Peru, n=14). Any organic material or soil was removed from the samples using the hydrogen peroxide (H2O2) digestion method, leaving the charcoal clean. After that, the samples were embedded in resin and then polished and then measured for reflectance in the Exeter Fire Lab.
DOI: 10.5285/d7f3bfd5-bcde-41b8-bd22-02e331d24b54
title: Sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED) data for the UK (2011-2013)

description: These datasets provide Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 2011 to 2013.

The data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. 

Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the Centre for Ecology & Hydrology (CEH) and various Department for Environment, Food & Rural Affairs (Defra) contracts.
description: The Concentration Based Estimated Deposition (CBED) methodology generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network.  The site-based measurements are first interpolated to generate maps of concentrations for the UK.  The ion concentrations in precipitation are combined with an annual precipitation map from the UK Meteorological Office to generate values of wet deposition.  Gas and particulate matter concentration maps are combined with spatially distributed estimates of habitat-specific deposition velocities to generate dry deposition for 5 land cover categories: forest, moorland, grassland, arable and urban.  The deposition to the 5 land cover categories are combined, depending on the relative proportions of different land cover categories in the 5x5 km grid square, to generate values for grid square averaged deposition.  Dry deposition includes deposition of gases (Sulphur Dioxide (SO2), Nitric Acid (HNO3), Nitrogen Dioxide (NO2) and Ammonia (NH3) and particulate matter (sulphate, nitrate, ammonium, calcium and magnesium) to vegetation.  For critical load exceedance calculations, deposition values for moorland are applied to all non-woodland habitats, and deposition values for forest are applied to all woodland habitats.

Data processing was done using the GenStat programme and results output as text files. These were then exported as comma separated values for ingestion into the Environmental Information Data Centre.
DOI: 10.5285/4434a27d-5288-4f2e-88ac-4b1372e4d073
title: Drosophila C virus genomes, Cambridge (2017)

description: The resource consists of genome sequence data for the Drosophila C virus that has been serially passaged through different species of Drosophila in the laboratory.  The genomes were sequenced and aligned to the reference genome. The frequency of variants at both biallelic and triallelic sites was then calculated. We also generated a phylogeny of the species involved using published data. This data was generated to understand how viruses adapt to new host species by Francis Jiggins and his co workers. The work was carried out between July 2016 and September 2017 and was funded by NERC under award reference NE/L004232/1
description: Each species of Drosophila was infected by dipping a needle in virus suspension. After 3 days the fly was then homogenized and the process repeated for 8-10 passages. At the end of this process, Ribonucleic acid (RNA) was extracted, the viral genome amplified by Polymerase chain reaction (PCR) and Nextera libraries constructed. These were sequenced on n Illumina sequencer, the sequences quality trimmed and aligned to the reference genome to generate the BAM file in this dataset. We then called variants to generate the allele frequency CSV files. Full details of these steps are provided in the supporting documentation. NB: these data are not adequately described in that there are no column descriptions for the csv files.