cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/f7da626c-f39c-474f-b2e7-8638ab26d166
title: Yield and physiology data of four African crops exposed to varying ozone concentrations, grown in solardomes, UK, 2018

description: Data are presented from an ozone exposure experiment performed on four African crops. The crops (Beans, Cowpeas, Amaranth and Sorghum) were exposed to three different levels of ozone   and two heat treatments in the UK CEH Bangor solardomes. The experiment ran from May 2018 to September 2018. The crop plants were grown from seed, in pots in solardomes. The aim of the experiment was to investigate the impact of ozone exposure on the crop yield and plant health.

The dataset comprises of manually collected data on plant physiology, biomass and yield. In addition the automatically logged data of ozone concentration and meteorological variables in the solardomes are presented.

Plant physiology data is stomatal conductance of individual leaves, measured on an ad-hoc basis. The dataset includes the associated data measured by the equipment (relative humidity, leaf temperature, photosynthetically active radiation – a small number of photosynthetically active radiation measurements are missing due to faulty readings). Soil moisture of the pots was always measured at the same time, and chlorophyll content of the measured leaf was usually, but not always, determined at the same time.

Yield of beans and cowpeas was determined for each plant. For Amaranth, only the seed head weight was determined. Sorghum did not reach yield, therefore, total biomass at harvest is given as an alternative. Total biomass was not determined for those plants of other crop types that did reach yield.

The ozone and meteorological dataset is complete, but with some gap-filling for short periods when the computer was not logging data
The work was carried out as part of the NERC funded SUNRISE project (NE/R000131/1).
description: Ozone and Meteorological data was automatically logged by PC, with QA to check that data was within appropriate range, outliers checked for plausibility, and gap-filling where necessary. Plant physiology data was collected on an ad-hoc basis from measurements, with QA to check that data was within appropriate range, with outliers checked for plausibility. Plant biomass and yield data was determined experimentally at the end of the experiment, with QA to check that the data was in appropriate range and outliers checked for plausibility.

Data were exported into Excel spreadsheets and the exported again as comma separated value (.csv files)
DOI: 10.5285/41acfe3e-761b-4362-bcc7-8d49ce52cc35
title: Carbon dioxide and methane fluxes and associated environmental observations from an unmodified blanket bog, Forsinard Flows RSPB Reserve, Scotland, 2016-2022

description: This dataset contains measurements of greenhouse gas exchange  (carbon dioxide and methane) over a near natural blanket bog in the Flow Country, Caithness and Sutherland, using eddy-covariance, and associated meteorological and pedological measurements from 2016-10-19 to 2022-12-31 at half hourly intervals. The time series has been gap filled to allow the calculation of annual budgets for carbon exchange.

The site reference is UK_CLs ( http://www.europe-fluxdata.eu/home/sites-list )
description: The site was first installed in April 2008 by Pete Levy, UKCEH, with funding from the European Union Seventh Framework Programme project ‘Greenhouse gas management in European land-use systems’ and its operation has been maintained since then under other grants and projects. It is currently managed by the James Hutton Institute (Aberdeen) as part of the SCO2FLUX network with supporting funding from NERC (Mothership Project) and SRES (CentrePeat project). UKCEH continues to assist with supplying instrumentation for the site and analysis/interpretation of the data, while University of the Highlands and Islands are the local site operators with support from the RSPB (Royal Society for the Protection of Birds).

Measurements are made using standard instrumentation, retrieved remotely at regular intervals and processed using protocols similar to those defined by the FluxNet and ICOS projects.
DOI: 10.5285/44f5b604-ed2c-465a-9f0c-e02f7027fae8
title: Height, diameter, and health status of native sapling trees planted for restoration after invasive tree control in a secondary subtropical forest, Horco Molle, Tucumán, 2021-2023

description: The data resource comprises two years of monitoring data on planted saplings, aimed at restoring native trees in invaded subtropical mountain forests (Yungas). The forests were located in the Horco Molle Experimental Reserve and Parque Sierra de San Javier, Tucumán, Argentina. The data is part of an experiment that aims to investigate the effects of management control of the invasion of non-native species, particularly Ligustrum lucidum, and other less abundant non-native species, on the dynamics of the woody community. The experiment was conducted between June 2020 and November 2023.

This work was carried out as part of NERC grant NE/S011641/1 “Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management”.

description: During a field experiment, data was collected on saplings to evaluate the management of secondary forests affected by the invasion of Ligustrum lucidum. The experiment established six permanent plots, each measuring 240 metres by 140 metres, totalling 3.36 hectares. The plots were arranged in pairs, with one plot designated as a control scenario (no actions applied), and the other treated (L. lucidum control and native tree planting).

After applying mechanical-chemical treatment to invasive tree species, we planted three native species, namely Jacaranda mimosifolia, Solanum riparium, and Tipuana tipu, during the most suitable period to minimize plant stress, considering soil moisture and air temperature. The saplings, taller than 0.30 cm, were purchased from a local gardener who produced them for our experiment. The gardener collected the seeds to produce the saplings in the native forest near our study area. After planting, each sapling was tagged with an ID, and its diameter at the base and height were measured.

Every six months, the health status of all the planted saplings in the treated plots was measured and collected. The data was recorded on field sheets, transferred to spreadsheets, and exported as comma-separated value (CSV) files for deposit into the EIDC.
DOI: 10.5285/60952512-b682-4bd6-a609-365f64944fda
title: Stand-scale multiproxy palaeoecological data from Cambusurich Wood, Scotland

description: This dataset contains information about multiple palaeoecological proxies – pollen, non-pollen palynomorphs, spores, microcharcoal, plant macrofossils and macrocharcoal – generated from stand-scale (forest hollow-based) analyses of Cambusurich Wood Site of Special Scientific Interest, Scotland (Ordnance Survey grid reference: NN 62741 34679). The site’s chronology and loss-on-ignition (LOI) analyses are also provided. 
description: This data was generated as part of a study of the long-term dynamics in ancient temperate woodland of high conservation value. The palaeoecological proxies were analysed from two sets of duplicate parallel peat cores extracted from a closed-canopy forest hollow using a large Russian corer until the base of the peat sequence. Macrofossil analyses was performed on one set of cores and the other proxies were analysed on the second set. 
Pollen analyses was performed at 2 cm intervals using standard techniques (as described in Moore et al., 1991) with dense-media separation following Nakagawa et al. (1998). Pollen nomenclature follows Bennett (1995-2007) with Corylus-type used to refer to indistinguishable grains of Corylus avellana and Myrica gale. Non-pollen palynomorphs (NPPs) and microcharcoal was identified and counted on pollen slides. NPP nomenclature follows Miola (2012). 
Macrofossil analyses was performed on 2 cm thick contiguous samples following the method described in Field et al. (2000) and samples were disaggregated prior to sieving by heating for 45 minutes in 8 % NaOH. Macrofossils were recorded as absolute values with undifferentiated remains recorded on a 4-point scale of rare (< 10 individuals), occasional (10-50 individuals), frequent (50-100 individuals), or abundant (> 100). 
Loss-on-ignition (LOI) methodology followed Heiri et al. (2001) at 2 cm sample intervals and sediment stratigraphy was described using the Troels Smith (1955) system.
Site chronological controls includes eight Accelerator Mass Spectrometry radiocarbon dates and the base of a 210Pb curve. 
Coauthors have verified the data and it has been split into five comma separated .csv files which can be used for single or multi-proxy analyses. These csv files contain: (1) raw microfossil count data, (2) raw macrofossil data, (3) site chronological controls, (4) loss-on-ignition and (6) sediment stratigraphy.
DOI: 10.5285/e6e9a85c-b537-4110-899f-2c1498bc826c
title: Phosphorus, carbon and nitrogen concentrations in UK soil mineral fractions, 2013-2014

description: This dataset includes soil mass, organic phosphorus, carbon and nitrogen concentrations for light and heavy fractions, obtained from soils collected from UK habitats. The dataset includes twenty soils, collected from the Ribble, Avon and Conwy catchments in the North West, South and North Wales respectively. Samples were split into light and heavy fractions using a physicochemical fractionation method. The dataset also includes recoveries of carbon, nitrogen and phosphorus as a measure of the efficacy of the fractionation method. Extra data on sampling location, catchments conditions and bulk soil texture are also included in this dataset. 
description: Soil samples had been collected in a survey of the catchments of the Rivers Avon (Hampshire), Conwy (N Wales), Dee (NE Scotland), and Ribble (NW England) carried out between 2013 and 2015 (Toberman et al. 2016). Samples had been bulked from 6 or 10 separate cores, and included both topsoils and subsoils. We chose twenty soils to provide a range of SOM contents, and with sufficient light material to analyse. Most soils were under semi natural vegetation, three were from improved grassland. Arable soils were not analysed owing to their low contents of light material. We applied a modified physicochemical density fractionation method based on previously published procedures.
DOI: 10.5285/96af6c13-ef0a-4da5-9686-690a16e05768
title: Arbuscular mycorrhizal fungi diversity data from a grassland microcosm experiment [NERC Soil Biodiversity Programme]

description: These arbuscular mycorrhizal (AM) fungi diversity data were collected in 2000 as part of an investigation in an unfertilized limestone grassland soil supporting different synthesized vascular plant assemblages that had developed for three years.  The experimental treatments comprised: bare soil; monocultures of the non mycotrophic sedge Carex flacca; monocultures of the mycotrophic grass Festuca ovina; and a species-rich mixture of four forbs, four grasses and four sedges. The experiment was undertaken in microcosms, set up at the University of Sheffield.  The diversity of AM fungi was analysed in roots of Plantago lanceolata bioassay seedlings using terminal-restriction fragment length polymorphism (T-RFLP).

The data were collected during a project funded under the NERC Soil Biodiversity Thematic Programme, established in 1999.
description: Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999.  Samples were collected by students and staff during the microcosm experiment before being processed according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.
DOI: 10.5285/d417b1b9-eaba-4b9d-ba2c-dfb53973b113
title: Aquatic carbon isotope composition in natural and restoration pools in blanket peatlands in Scotland and Northern Ireland, 2014-2015

description: The dataset contains the isotopic composition of aquatic carbon forms obtained from peatland pools across six locations in Scotland and Northern Ireland. Samples were collected from the surface of peatland ponds.

Variables include radiocarbon (14C) content, stable carbon (δ13C) isotopic content, and associated data used in the data analysis in the published manuscript collected from the study locations in 2014 and 2015.
description: Full sampling description is provided in the data file description. In brief, samples were collected in the field and transported to the NERC Radiocarbon Facility in East Kilbride within 1 week of collection. Samples were processed following published protocols in the facility and analysed and reported followed radiocarbon convention.
DOI: 10.15468/dl.mj33aj
title: Occurrence Download

description: A dataset containing 64648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-113.22829 37.14135,-112.86315 37.14135,-112.86315 37.50428,-113.22829 37.50428,-113.22829 37.14135))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2022"
 ]
}

 The dataset includes 64648 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031211-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/53ef00f4-e0c5-4095-850e-d4c474bc4ffd
title: Countryside Survey 1990 mapped estimates of Broad Habitat areas in Great Britain

description: This dataset consists of stock (area) data for Broad Habitats across Great Britain in 1990 in a 1km grid format. The data are national estimates generated by analysing the sample data from 508 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as percent habitat per 1km square for 16 different habitat types. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to habitat areas, vegetation species, soil data, linear feature data and freshwater habitat data are also gathered by Countryside Survey.
description: The data were recorded onto paper field sheets in the summer of 1990 by surveyors. Data were recorded from 508 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats were digitized in the 1990s. The digitized data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as percentage values per 1km square.
DOI: 10.5285/19babe1c-b3a3-488c-b4fe-ebb4ab9237d8
title: Soil biological activity in the Chernobyl Exclusion Zone, Ukraine, September 2005 and spring 2016

description: Data comprise site location, soil chemistry (pH, soil moisture), soil radionuclide activity concentrations (the isotopes measured were: Americium-241, Caesium-137, Plutonium-238, -239 and -240, Strontium-90 (K-40 and U-238 activity concentrations were estimated from stable element data) and soil biological activity (derived from application of  bait lamina sticks) at 18 sites in the Chernobyl Exclusion Zone (CEZ), Ukraine in 2016; data for four sites in 2005 are also presented. Estimate absorbed radionuclide dose rates to soil invertebrates and bacteria are also presented. The primary purpose of these data was to enable an evaluation of the potential impact of radiation on soil organisms. The work was carried out by UKCEH, Chernobyl Centre for Nuclear Safety and the University of Salford. Funding for this work was via the TREE project funded by NERC, Environment Agency and Radioactive Waste Management Ltd. under the RATE programme.

description: In 2005 four sites referred to as Low, Medium, High (on the basis of their anticipated soil radionuclide activity concentrations) and Dead (an area where pine trees were killed in 1986) were sampled. In 2016 a further 18 sites (categorised on the basis of simplified habitat groups: ‘Coniferous’ or ‘Deciduous’ woodland; ‘Red Forest’) were sampled. Bait lamina sticks were applied to the soil and left for 18 days. After removal the bait lamina sticks were wiped and assessed for evidence of feeding. After removal of the bait lamina, soil was sampled and measurements of pH, moisture content and radionuclide activity concentrations were determined. 
Field notes were transposed to MSExcel files, bait lamina readings and basic soil chemistry data were directly input to MSExcel files and radionuclide activity concentration data were supplied to UKCEH by Chornobyl Center as MSExcel files.  All data were supplied to EIDC as csv files.
DOI: 10.5285/f70596a1-0994-4b08-abab-0c9398af447d
title: Hydrochemistry and nitrate sensor data from three karst sites in SW China, 2016-2017

description: The dataset contains hydrochemistry (temperature, specific conductivity, pH, dissolved oxygen) and nitrate-N in the Houzhai catchment (Southwestern, China). Three karst springs were investigated. Data were obtained via sensor approach with 15mins time interval between May 2016 to October 2017. 
description: The pH sonde was calibrated every month by trained operators following standard operating procedures. For nitrate-N sensor calibration, discrete stream water samples for validation were collected manually at weekly or biweekly intervals, with additional samples collected during precipitation event periods using autosamplers at sampling intervals of one to four hours. 
Statistical relationships between the sensor-estimated [NO3−–N] and the laboratory measured [NO3−–N] were generated. To evaluate this calibration processes, the uncertainty (μC) of shorter monitoring period calibration and one single calibration for whole monitoring period at each site was compared. Finally, shorter monitoring period calibration was used for all sensor data.
DOI: 10.5285/6d2ad65f-1a8f-4819-892b-1b4de8d0d7c2
title: Hydrological data from the Portoviejo River, Ecuador, 2021-2022

description: This dataset contains daily measurements of river flow velocity (m/s), river discharge (m3/s), river depth (cm), and river width (m) from the Portoviejo River, Ecuador, from years 2021 and 2022. This dataset was generated as part of the NERC funded project 'Reducing the impacts of plastic waste in the Eastern Pacific Ocean', which aims to “reduce plastic leakage in the Eastern Pacific region, supporting development of a sustainable, circular plastics resource flow and reducing the impacts of plastic pollution on livelihoods and wildlife”. This data was collected to monitor the river hydrological conditions alongside collections of anthropogenic litter using the Azure System developed by Ichthion Limited (https://ichthion.com/tecnologia/).
description: Data for hydrological parameters was originally collected by Ichthion, following a daily routine of data collection followed by tabulation onto a digital Excel spreadsheet. The Excel files were organized per year of sampling (2021 and 2022), and each file corresponding to one year contained one tab for each month of the year. From those initial spreadsheets, hydrological data was checked by Ichthion for quality control, and then reorganized at the University of Exeter onto a new spreadsheet compiling all months and years into the single file that is provided here.
DOI: 10.5285/d3498e93-4ac5-4eab-bc1a-eb2328771d24
title: Antibiotic resistance genes found in soils across the entire Scottish landscape (2007-10)

description: The dataset collates the relative concentration of nearly 300 antimicrobial resistance (AMR) genes found in soil locations across Scotland.

Soils were obtained from the National Soils Inventory of Scotland (NSIS2), from which the total community DNA were extracted and provided to assess AMR gene content. Sampling of the NSIS2 was conducted between 2007-2010 at 183 soil locations representing intersections of a 20km grid across all of Scotland.

For each sample, nearly 300 AMR genes were assessed representing major antibiotic classes, and included many resistance traits: aminoglycosides, beta-lactams, FCA (fluoroquinolone, quinolone, chloramphenicol, florfenicol and amphenicol resistance genes), MLSB (macrolide, lincosamide, streptogramin B), tetracycline, vancomycin, sulphonamide, efflux pumps and integron genes. The data represent relative gene abundance, i.e., the amount of genes per "total bacteria".

description: The dataset was developed by Charles Knapp (University of Strathclyde) 2016-2018, in close collaboration with James Hutton Institute, Institute of Urban Environment – Chinese Academy of Sciences, and Newcastle University. The data were compiled under the auspices of the NERC AMR in the Real World grant (NE/N019776/1). 

For further details please see supporting documentation
DOI: 10.5285/71ddb087-59e6-432a-8d3e-72cbce251ee9
title: Water quality data from the River Wensum, UK, 2010-2016

description: This dataset contains riverine hydrochemical data generated at monthly intervals between 2010 and 2016 from 20 sites across the River Wensum catchment, UK. Data were obtained via manual grab sampling of river water from each of the 20 locations across the catchment, followed by subsequent laboratory analysis to determine concentrations of nutrients, carbon, major ions and suspended solids.
description: All water samples were collected in the field by the authors. All hydrochemical data were generated by the University of East Anglia’s Science Analytical Facilities (https://www.uea.ac.uk/about/faculties-and-schools/faculty-of-science/facilities). To ensure data quality, instrument accuracy and limits of detection were tested every batch via certified reference materials, whilst instrument precision was tested via repeat measurements. Any analysis runs which fell outside acceptable tolerances for accuracy and precision were reanalysed after recalibration of the instrument. All data were checked manually for errors prior to acceptance.
DOI: 10.5285/984b1001-82f1-4ba0-aa1e-412f85d9d24f
title: Impact of grassland management on biomass production and nutritional quality, invertebrate communities, and soil health in Berkshire (UK) 2009-2012

description: The dataset describes the effects of different management techniques on grassland biomass production (dry matter yield), nutritional quality (herbage nitrogen content), pollinator communities (abundance and species richness), predatory beetle communities (abundance, species richness and biomass), and soil health (bulk density, total soil carbon and nitrogen). Data was collected from a site in Berkshire (UK), where a field-scale, randomised block experiment had been implemented to investigate how the establishment of a variety of plant functional groups (grasses, legumes, and other flowering forbs) using different cultivation (minimum tillage and deep ploughing) and management (cutting, grazing and their intensity) techniques, affected the provision of various ecosystem services.
description: All surveyors and laboratory workers were trained and followed standardised protocols in all cases. Specific forms were used for recording data in the field and in the lab. The data were checked for anomalous entries. Details of the methodologies have been published (see “other useful information regarding this dataset”).