cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/296ded8e-2c80-4a01-98cc-e71e3fa3fa1b
title: Operational taxonomic units for soil bacteria in the Wolf and Tamar catchments

description: This dataset contains operational taxonomic units for soil bacteria collected from various land use categories in the Wolf and Tamar catchments in South west England. 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. 
description: Epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. 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: 10.5285/3d20ce5a-9115-4ad3-a55c-d51d66863757
title: Dimensionless hyetographs and statistics of annual-maximum rainfall events in Great Britain, from historical rain gauge records

description: This dataset contains over 72,000 event hyetographs associated with rainstorms that contain Annual Maximum rainfall (AMAX) values for durations between 5-min and 24-hr for a set of ~1,300 rain gauges in Great Britain. The record length and completeness varies on a gauge-by-gauge basis, the median record length is 19 years and the processed record ends in 06/2018.

Note that a rainstorm may have a different duration to the associated AMAX value, e.g., a 24-hr AMAX total may be caused by an 18.25-hr event. Further note that multiple AMAX totals may be embedded within a single rainstorm, e.g., Storm Desmond can be associated with the 2-, 3-, 6-, 12- and 24-hr AMAX totals for 2009 recorded at Honister Pass. Each hyetograph is accompanied by summary statistics corresponding to the underlying rainstorm and associated AMAX totals. 

This dataset enables the study of the temporal characteristics of rainfall as well as more general studies regarding the climatology of AMAX-causing events in GB. 
description: Rainfall event hyetographs are derived from quality-controlled rain gauge observations with sub-hourly resolution collected by the England Environment Agency (EA), Natural Resources Wales (NRW) and the Scottish Environmental Protection Agency (SEPA). Each hyetograph corresponds to an Annual Maximum rainfall (AMAX) event registered at each rain gauge for durations ranging from 5-min up to 24-hr. Multiple AMAX values with different durations may map onto a single hyetograph.

The sub-hourly data was quality controlled prior to AMAX and hyetograph using methods derived for the QC of CEH-GEAR1hr and the Global Sub Daily Rainfall dataset (GSDR), as well as additional checks that leverage the sub-hourly nature of the dataset. AMAX rainfall totals for 5-, 10-, 15-, 30-min and 1-, 2-, 3-, 6-, 12-, 24-hr durations were calculated using rolling window sums. The event hyetograph for each AMAX total was then extracted from the original sub-hourly time series and converted to uniform duration series. The final dataset consists of the event time series, provided as cumulative rainfall hyetographs for each event, as well as event metadata including summary statistics and a list of associated AMAX totals.
DOI: 10.15468/dl.rbddtf
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursera silviae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 121 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031254-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f
title: A compendium of earthworm data sources and associated information from the UK and Ireland, 1891-2021

description: This dataset presents a compendium of field-based earthworm data sources and associated meta-data from across the United Kingdom and Ireland (‘Worm source’).  These were compiled up to 2021 and include 257 data sources, the earliest dating back to 1891.  Source meta-data covers the type of quantitative earthworm data (i.e. incidence, abundance, biomass, taxa), methodological details (e.g. sampling method/s, location/s, whether sampled plots were natural or experimental, sampling year/s), and environmental information (e.g. habitat/land-use, inclusion of climate data and basic soil properties). Data sources were collected through literature searches on Web of Science and Google Scholar, as well as directly from original authors/data holders where possible.  The data sources were compiled with the aim of gathering quantitative data on earthworm species and populations to develop earthworm abundance and niche models, and toward a modelling framework for earthworm impacts on soil processes. 

This work is part of the Soil Organic Carbon Dynamics (SOC-D) project funded by the NERC UK-SCAPE programme (Grant reference NE/R016429/1).
description: A systematic literature search was conducted to find data sources using Web of Science and Google Scholar (in June/July 2020). This used the following search term: 
(Earthworm* OR Oligochaeta OR Annelid* OR Lumbric* OR Clitellat*) AND (Diversity OR “Species richness” OR “OTU” OR Abundance OR individual* OR Density OR “tax* richness” OR “Number” OR Richness OR Biomass) AND (UK OR “United Kingdom” OR England OR Wales OR Scotland OR “NI” OR “Northern Ireland” OR “Ireland” OR “ROI”) 
Publications were selected and meta-data recorded if they contained location information and the presence of at least one species of earthworm or abundance/biomass data obtained from the field.  Further publications were found through screening of review papers and contact with selected authors for additional information and resources, including published and unpublished datasets.  In total, 257 data sources were compiled.   Original sources (i.e. published papers, book chapters) could not be obtained for 17 studies at the time of compiling meta-data and are thus lacking any additional information.
DOI: 10.5285/4418c631-c39c-467c-b3b8-c75142fcae0a
title: CO2 efflux, root and mycorrhizal hyphae production in subarctic willow shrub and treeline birch forest, Abisko 2017-2018

description: This dataset contains in situ CO2 efflux, root production and fungal hyphae production from plots distributed across a subarctic landscape in Northern Sweden. Six paired plots were established in mountain birch forest and five paired plots were established in tall shrub tundra where one of each pair was 'girdled' and one acted as a non girdled 'control'. Efflux measurements were made during six sampling campaigns over 2017 and 2018 at an approximate frequency of once per week during each campaign, constituting a time series of measurements. Production measurements integrated root or hyphae production over the whole growing season (June-September) and therefore there is one datapoint per plot per year.
description: Efflux data were generated using a infrared gas analyser in closed system mode which measures the linear increase in CO2  concentrations over a 2 minute period. Root ingrowth was measured by inserting root-free peat in a container with 2 mm mesh openings into the ground in June and extracting in September, the in-grown roots were picked out, washed, dried and weighed. Hyphae ingrowth was measured by inserting a bag with 35 um openings filled with washed sand into the ground over the same period of time as the root bags. Sand was extracted from bags and immediately freeze dried. The sand was then sonicated and the hyphae were extracted and ingrowth carbon was compared with lab black controls.
DOI: 10.5285/66cc8fd4-e722-44c4-9363-5930b8373b2c
title: Soil methane data from a wildfire chronosequence in northern Sweden 

description: Data comprise soil methane oxidation results from a group of 30 forested islands in northern Sweden sampled in 2006 and 2007. The islands have different fire histories and represent a retrogressive chronosequence spanning 5000 years.
description: In situ gas fluxes were measured over one week using a static chamber method during August 2006. Samples were stored in exetainer vials (Labco, UK) for up to one month prior to analyses. Concentrations of CH4 were analysed by gas chromatography, on a PerkinElmer Autosystem XL Gas Chromatograph (GC) with Flame Ionization Detector, and results were calibrated using certified gas standards. CH4 was separated isothermally on a 2 m Poropak Q 50x80 mesh packed column at 40 deg C, with N2 as the carrier gas. CH4 fluxes from ex situ cores were measured from the top 25 cm of soil (or to the bedrock where soil depth was less than 25 cm) in 2006 and then through the entire humus profile to the bedrock (20-85 cm depth) in 2007. In 2006, intact cores (11 cm diameter, 25 cm depth) were removed from each island (40 per island size classification) and were weighed on the day of collection. Cores were stored at 12 deg C in the dark until measurement and were maintained at their field collected moisture content using an artificial rain solution. In 2007, one full profile core (0.15 m diameter) was collected from each island humus profile to the bedrock in July 2007. A similar static chamber approach (volume = 0.0021 m3, diameter = 0.15 m) for measuring soil CH4 fluxes, applied under the same measurement conditions as previously described. In situ gas samples were collected from within the soil atmosphere in the humus profiles of each island over 4 days in July 2007. Four stainless steel sampling probes (19 gauge, 0.69 mm inner diameter) were inserted into the soil profiles 30 minutes before soil atmosphere samples were collected at 15, 35, 55 and 75 cm depth (dead-space volume = 0.06, 0.13, 0.21, 0.28 ml, respectively). From each probe a 100 ml sample was collected with 90 ml being transferred to a 50 ml Wheaton bottle with butyl rubber stopper and crimp top seals and 9 ml to a 3.6 ml exetainer vial. After collection each butyl rubber stopper and crimp top was sealed with wax. Analyses of the 13C values of CH4 were completed within one month at the Centre for Ecology & Hydrology, Lancaster. Full details are in supporting information associated with this record.
DOI: 10.5285/a8f553c0-8fff-4b23-9461-fd59d0fd2ed3
title: Faecal bacteria concentration in the River Wharfe from 2019 to 2021

description: This dataset contains faecal bacteria data (mainly E. coli but also some Intestinal enterococci) for the River Wharfe and its tributaries in Yorkshire. They were collected and analysed as part of citizen science projects (termed the Ashlands and iWharfe projects) designed to assess the extent to which the river is contaminated by sewage effluent and capable of meeting national bathing water standards.  In the Ashlands project, samples were taken upstream and downstream of the Sewage Treatment Works in Ilkley. The data were used in a successful application by the Ilkley Clean River Group for the river in Ilkley to be designated as a bathing water, the first running water site so designated in the UK.  The iWharfe data are from samples collected on two occasions (2020 and 2021) at sites along the full length of the river and selected tributaries and show in particular the level of faecal bacteria contamination at recreational sites along the river. Overall, the data show not only the importance of sewage effluent in causing high concentrations of faecal bacteria in the river but also the role of agricultural sources presumed to be from farm livestock.
description: Samples were collected in sterile bottles by trained volunteers, kept in cool bags during transport, delivered to an ALS Ltd collection point in Wakefield and thence to ALS Ltd, an accredited laboratory, in Coventry for analysis.  Samples were analysed using standard methods within 24 hours of collection.  Data were quality controlled by ALS before release.  All data collected and analysed in this way have been collated and included in this data-set.
DOI: 10.5285/18be3704-0a6d-4917-aa2e-bf38927321c5
title: Grid-to-Grid model estimates of river flow for Great Britain driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2

description: Gridded hydrological model river flow estimates on a 1 km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and annual minima of seven-day mean river flow (years spanning Dec-Nov), along with the date of occurrence (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable and ensemble member.

To aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid.

The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment 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 meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018 - https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604) . The projections comprise a twelve-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE derived from other meteorological variables (using the Penman-Monteith scheme). See the documentation accompanying the data for more details.
DOI: 10.5285/840228a7-40a1-4db4-aef0-a9fea2079987
title: Hampshire Avon: Dissolved oxygen data collected at one minute intervals from five river reaches

description: This dataset contains instream dissolved oxygen data collected continuously at one minute intervals for five sites in the Hampshire Avon catchment in the United Kingdom. Data were collected between August 2014 and August 2015 using miniDOT loggers.
description: Instream dissolved oxygen (DO) measurements were periodically downloaded from the logger. Records were filtered on the value of DO using an algorithm that first screened out records using a DO minimum envelope by day and then by using a smooth spline, comparing the smoothed spline value with the observed value and accepting those records that fell within a certain tolerance. This tolerance was adjusted according to the river site and also the month. All records are included in the final datasets, with a flag describing data quality for each record.
DOI: 10.5285/ca785f4c-5e45-4743-83bb-e30dd620de2e
title: Insect visitations to wildflower seed mix trials on farms in West Sussex and Oxfordshire from 2019-2021

description: The dataset contains information about insect visitations to flowers growing in seed mix trial plots on two farms, one in West Sussex, and one in Oxfordshire. The data was collected during the spring and summer seasons of 2019, 2020, and 2021. Seed mix trial plots were walked centrally and insects visiting flowers in the plots were recorded, and where possible, identified to genus or species level. 

The work was supported by the Natural Environment Research Council (NE/P009972/1)

description: Plots were marked out and seed mixes sown in 2018. The plots were then surveyed for insects visiting flowers growing in the plots in 2019, 2020, and 2021. Insect visitations to flowers were recorded in the field. Flower species being visited was identified. The insect was allocated to a “group” and then further identified to species level where possible. If a bee or hoverfly specimen could not be identified to species level in the field, where possible, it was caught, and then identified in the laboratory under a dissecting microscope. All insects seen on each plot during in each survey were then entered into an excel spreadsheet, using a combination of paper notes from the field, and laboratory notes of species.
DOI: 10.15468/dl.qareqj
title: Occurrence Download

description: A dataset containing 651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is one of (Royal Botanic Gardens, Kew - Herbarium Specimens, Tropicos MO Specimen Data, The vascular plants collection (P) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris), Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), 2023 Contributions of Plant Specimen Data inside China, The New York Botanical Garden Herbarium (NY), Tropicos Specimens Non-MO, NMNH Extant Specimen Records (USNM, US), Naturalis Biodiversity Center (NL) - Botany)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bauhinia forficata"
 ]
}

 The dataset includes 651 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031255-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/59422890-c8d3-49b8-b17e-4f5062475140
title: Countryside Survey 1998 estimates of linear feature lengths in Great Britain

description: This dataset consists of stock (length) data for linear features across Great Britain in 1998. The data are national estimates generated by analysing the sample data from 569 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as mean lengths for 7 different feature categories within 45 different land class types, based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. 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 linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.
description: The data were recorded onto paper field sheets in the summers of 1998 and 1999 by surveyors. Data were recorded from 569 1km squares sited across Britain, selected by random stratified sample. The boundary lines were digitized in 1998-2000. The digitized data were used to generate national estimates of the stock of linear features for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as mean length per Land Class. Data are managed by the Centre for Ecology & Hydrology, Lancaster.
DOI: 10.5285/0da218a8-2882-4ee7-bb2a-50a51f7f4138
title: Functional traits of woody plants sampled in permanent forest monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2019-2022

description: The dataset contains information on six functional traits of woody plants, including Leaf Area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC), Leaf Thickness (Lth), Wood Density (WD), Bark Thickness (BT). It also includes data on concentrations of C, N, P, Ca, Mg, and K in leaves; leaf fresh mass and leaf dry mass data; and fresh wood volume and dry wood mass data to calculate Wood Density. Ten leaves per individual were sampled, and three measurements were taken for leaf thickness at the base, middle, and top of the leaf. For wood density, a single branch sample was taken per individual and for bark thickness five measurements per individual were made. The data were collected between 2019 and 2022 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems in Colombia. The database includes information about the plot location and parameters of the locality. 

The purpose of this data collection was to determine whether the expression of functional traits in woody plants differs between the perturbation gradient and the relationship of the traits to ecosystem processes. This information is important for understanding the drivers of variation in forest resilience and the impacts of perturbation on ecosystem functioning. This data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the resilience of forest ecosystems after the post-conflict period in Colombia. 
description: Forest plant trait data was obtained through direct sampling in a network of permanent forest plots of 0.5 hectares, each, located across an altitude and perturbation gradient in the Andean ecosystems of Colombia. The study collected foliar and bark data from trees, including leaf carbon, nitrogen, phosphorus, calcium, magnesium, potassium, specific leaf area, leaf dry matter content, leaf thickness, leaf area, leaf fresh mass, leaf dry mass, wood mass dry, wood density, bark thickness, and wood volume fresh. In each plot, mature trees meeting certain criteria were selected, and from each selected tree a branch with leaves and a piece of wood were collected. The leaves were randomly selected and placed on an A4 size sheet, while the piece of wood was 10 cm long and between 1 and 2 cm in diameter. Each sample was labeled with the plot code and tree number for identification. All measurements were conducted according to the methodology described by Salgado-Negret et al. (2016). The study used various techniques to calculate these parameters and ensured data quality by calculating the average for each individual considering the replicas.