cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/d00a647a-16ec-4d2a-a3a3-ad59597e8ca2
title: Inventory of impacts of seven invasive alien species in Chile, Brazil, and Argentina. Results of an expert elicitation exercise

description: This dataset contain inventories of the impacts of invasive alien species (IAS) in Brazil, Chile, and Argentina. These include seven case studies:  pines (Pinus contorta) in the Araucanía and Aysén Regions (Chile); (ii) pines (Pinus contorta) in the Northern Patagonia Region (Argentina); (iii) privet (Ligustrum lucidum) in the Yungas Forest (Argentina); (iv) invasive grasses (Urochloa brizantha and Urochloa decumbens) in the Cerrado (Brazil); (v) the American mink (Neovison vison) in Austral Patagonia (Argentina); (vi) the American mink in the Los Ríos Region (Chile); and, (vi) the yellow jacket wasps (Vespula germanica) in the Los Ríos Region (Chile). The impacts were elicited by experts (varying between two and four experts for each case study) following the procedures described in the supporting files.

A total of 1,526 impacts were identified by the experts, and these impacts can be found in the "Compiled-Impact.csv" file. This file contains information about the impact outcome, impact mechanism, EICAT impact category, level of confidence, the species or asset impacted, the direction of the impact, the extent of the study area, the name of the IAS, whether the IAS is a plant or an animal, and the country.

After two rounds of scoring, the impacts listed in the “Compiled-Impact.csv” were further discussed during a facilitated workshop in San Carlos de Bariloche (Argentina; December 2019). The final, agreed impact scores can be found in the file "Unique-Impact.csv". This final dataset contains 209 impacts and information about the same variables described above for the "Compiled-Impact.csv" file.
description: Expert elicitation activity

Methods & contents: Seventeen experts working on seven case studies received individual Impact Score spreadsheets based on the "CONTAIN-ImpactScoringSheet(MinkExampleSalamanca-English).xlsx", and were instructed to complete them independently following the guidance provided in the file "CONTAIN-ImpactScoringInstructions.pdf". All the impacts listed by the experts can be found in the "Compiled-Impact.csv" file. After two rounds of scoring, the results were further discussed during a facilitated workshop in San Carlos de Bariloche (Argentina; December 2019). 

We conducted a preliminary evaluation of the usefulness of our methods by sending the "ImpactBrief-CONTAIN(Español).pdf" and "ImpactBrief-CONTAIN(English).pdf" to our collaborators in Latin America. This part was carried out by co-authors LM, PAP, LF, BL, AP, and ER.

The final, agreed, impact scores can be found in the file "Unique-Impact.csv".
DOI: 10.5285/274b541c-ee28-4041-8d3a-be5e970cd74e
title: Field measurements of alkalinity, chloride-ion, conductivity, pH and nutrients in rainwater (2004-2006) [LOCAR]

description: Rainwater alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2004 and 2006. Rainwater samples were collected fortnightly at seven sites in these catchments and analysed for Alkalinity pH 4.5, Ammonia, Chloride-ion, Conductivity 20 °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 rainwater chemistry data across the LOCAR catchments.
description: The rainwater collector was brought back to the lab 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 into a glass bottle. Samples for Phosphorus soluble reactive were filtered. Unfiltered samples were used for the rest of the 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. The data from the Frome Piddle catchment do not have a time associated with them. The time was not recorded when the rainwater collector was brought back from the field. In the dataset this is represented by the value 00:00. 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: 10.5285/5886c3ba-1fa5-49c0-8da8-40e69a10d2b5
title: UK Environmental Change Network (ECN) bird data: 1995-2015

description: Bird species data from the UK Environmental Change Network (ECN) terrestrial sites. Counts of individual bird species are recorded. These data are collected, using the British Trust for Ornithology (BTO)'s Breeding Bird Survey methodology, at all of ECN's terrestrial sites using a standard protocol. They represent continuous records from 1995 to 2015 (the transects are walked twice each year). ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.
description: These data are collected, using the British Trust for Ornithology (BTO)'s Breeding Bird Survey methodology, at all of ECN's terrestrial sites using a standard protocol. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols.  

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

Appropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.
DOI: 10.5285/cc264d08-ba89-42f0-a7cf-9c9477e1e2bd
title: Measurements of respiration and microbial assimilation of carbon substrates and priming of soil organic matter mineralisation in tropical lowland and montane forest soils

description: This dataset includes measurements of microbial community composition by phospholipid fatty acid (PLFA) analysis, soil respiration (Carbon dioxide (CO2)), soil physico-chemical properties and 13C enrichment in CO2 samples and microbial Phospholipid Fatty Acids (PLFAs). Data were produced for an investigation of the effects of carbon (C) substrate addition on soil carbon cycling processes in ten tropical soils from the Peruvian Andes. Soils were amended with 13C labelled substrates (xylose, glycine, vanillin and hemicellulose) and incubated under controlled conditions for seven days. 
description: Soils were sampled in January 2012 from ten sites along a tropical elevation gradient located on the east flank of the Peruvian Andes, with site elevations ranging from 210 to 3400 metres (m) above sea-level (asl). All sites have continuous forest cover ranging from lowland Amazonian rainforest to upper montane cloud forest; the tree-line is situated at approximately 3500 m asl. Annual temperature decreases with increasing elevation along this transect, from 26-8 degrees Centigrade (oC). Annual precipitation ranges from 1700 to 3200 millemetres per year (mm yr-1). Soil water content has been reported to have no clear relationship with elevation, partly due to limited evapotranspiration and fog deposition within the cloud immersion zone (1500-3400 m asl). At each site, the organic layer was sampled from 5 sub-plots within established 1 hectare (ha) plots with the organic layer removed from a 40 x 40 centimetre (cm) area in each sub-plot. Soils were sealed in plastic bags, immediately transported to the laboratory, and stored at 4 oC for 6 weeks until used for experimentation and analysis.
DOI: 10.5285/fdd72810-a57f-444f-83cf-f2351ef4c940
title: Nurdle characteristics with associated bacterial concentrations and virulence of Klebsiella isolates from Scottish beaches, 2022

description: This dataset holds realistic environmental concentrations of potential pathogens colonising microplastic beads (nurdles) collected from ten Scottish beaches. Observed measures include concentrations and the present genes of Klebsiella bacteria isolated from the nurdles, as well as the salinity, electrical conductivity, turbidity, and polymer composition of the nurdles. 

In addition, an infection experiment was conducted to measure the virulence of the Klebsiella bacteria. Galleria melonella larvae were infected with the isolated Klebsiella bacteria and the number of living larvae was recorded. 

description: Microplastic beads were collected from ten Scottish beaches (Erskine, Yellowcraig, Largs, Irvine, Ayr, Turnberry, Montrose, Broughty Ferry, Portobello and Eyemouth) and bacteria were removed for quantification of target bacteria. Bacteria were quantified using selective media and positive colony-forming units (CFU) were enumerated. 

Water temperature and salinity at each site were also measured with a thermometer and a salinity refractometer (RGBS).

Fourier Transform Infrared Spectrometry (FTIR) was conducted on a Thermo Scientific Nicolet is50 FTIR to identify the polymer composition of the nurdles.

The virulence of the isolated Klebsiella was studied for one of the sites, Brought Ferry. Galleria mellonella model of infection was used to determine the virulence of each of the selected Klebsiella strains following their isolation from the microplastic beads and sand. After injection, larvae were incubated at and inspected 24, 48 and 72 h post-injection; larvae were considered dead when they did not respond to touch stimuli.
DOI: 10.5285/b76223dd-28ae-4b0e-acd3-3b2104eaae0c
title: Soil and vegetation ecological function data in native reforestation, unforested and mature forest plots in the Scottish Highlands, 2018

description: Ecosystem functions (including aboveground carbon, topsoil carbon, topsoil nitrogen, decomposition rates, soil invertebrate feeding, tree regeneration & vegetation structure) in woodland creation sites and unforested and mature forest areas in the Scottish Highlands.
description: Fieldwork to establish this dataset was carried out during June-August 2018.

Data were collected in 10×10m survey plots, with a focal plot in 14 ungrazed woodland creation sites, matched to grazed and ungrazed unforested plots. Data were collected in a further 5 pairs of grazed and ungrazed plots in the target habitat (Caledonian pinewood).

Aboveground tree carbon was calculated using allometric equations based on dbh (diameter at breast height) measured in the field in July 2018.

Topsoil carbon and nitrogen was calculated based on soil sampling during July 2018. Percentage carbon and nitrogen were analysed at Forest Research’s labs. Total carbon and nitrogen were calculated based on % C/N and bulk density.

Decomposition rates were calculated using the Teabag Index, teabags were buried in June and reclaimed 3 months later in August.

Soil invertebrate feeding was monitored using bait lamina, which were buried for 30 days from early June to early July.

Vegetation structure (shrub height and moss depth) and seedling regeneration were measured in the field during June and July 2018.
DOI: 10.5285/a9c314d8-8a87-4992-9677-d9705c380f10
title: Q sort response data on stakeholder discourse and opinion towards a non-native lizard species (Podarcis muralis)

description: This dataset contains response data from Q sort exercises investigating attitudes towards non-native lizards in the UK conducted in 2017-18.

Data have been collected using standard Q method techniques for combined qualitative and quantitative investigation into subjective viewpoints surrounding a research topic. The data provided are the final Q sort arrangements obtained from participants and provide the basis for further factor analysis.
description: The Q set was developed from statements generated from several sources in direct response to (or pertaining to) the open question of ‘Do you have any thoughts or feelings about the presence of wall lizards in the UK?’ 

A total of 128 statements were collected, at which point no further original opinion/sentiment was found. A review process to fine tune the final Q set (in terms of reduction in number of statements and maintenance of plain language) was then undertaken. This revision process resulted in the construction of a final Q set consisting of 76 statements that provided a comprehensive and balanced coverage of the study topic.

Twenty-six participants across seven stakeholder groups took part in the Q sorts in the summer of 2017.  The Q sort was administered either in person or online.
DOI: 10.5285/e5122291-b5e2-47de-bf14-db67125f4c14
title: Technetium and radioselenium activity concentrations following exposure in 61 species of flowering plant under controlled conditions

description: The data are activity concentrations of Tc-99 and Se-75 in 61 species of flowering plants after exposure under similar controlled conditions.  Species selection was focussed on a hierarchical, taxonomic spread across the herbaceous flora of the British Isles. Individual plants were grown in pots, with supplementary lighting and heating, until they reached the exponential phase of their growth.  They were then radiobelled by addition of 109kBq/L Tc-99 and 95kBq/L Se-75. After 48h exposure, aboveground biomass and compost samples were taken and analysed for Tc-99 and Se-75.  These data helped refine estimates of Concentration Ratios for use in radioecological modelling and were generated as part of NERC grant number NE/L000342/1.
description: The data are primary data generated via an experiment as part of a NERC project.  Previous experiments in our research group had shown that acute exposures of plants to radionuclides could generate concentration ratios that were useful for estimated differences between taxonomic groups.  The activity concentrations used were those that generated easily measured activity concentrations in plants after acute exposure. The radionuclide activities were measured by beta (Tc-99) and gamma spectrometry (Se-75).  The data was for use in a phylogenetic analysis of the differences in concentration ratio.
DOI: 10.5285/3f48eb4c-bc0d-49e3-af71-dcff6d88c534
title: Daily photographs of paired phenotypic interactions between four strains of Streptomyces bacteria isolated from a nature reserve in Minnesota, USA

description: This dataset contains photographs of pairs of Streptomyces bacteria and it was collected with the aim of interrogating the manner and means of the interactions. The four imaged Streptomyces were originally isolated from a nature reserve in Minnesota, USA. Images show the interaction phenotypes between each pairing (including self to self), with images taken daily on International Streptomyces Project-2 (ISP-2) agar. 

This work was funded by NERC (NE/T010959/1) and National Science Foundation (USA, 1935458).
description: The four Streptomyces strains were previously isolated from Minnesota soil as described in Schlatter, D.C. et al (2013), co-culturing experiments were performed in the Manchester Institute of Biotechnology, University of Manchester, UK. Methodological details are included in the supplementary information of this submission.

Photographs of interacting paired cultures of bacteria were taken daily from days 2-6 post inoculation, in biological quadruplicate.
DOI: 10.5285/abbc69c2-b799-4892-a339-fb1ffa4ea2f0
title: Colonisation rates of E. coli on plastic and banana leaf under simulated environmental conditions

description: This dataset contains information relating to the rate of colonisation of E. coli O157 on plastic and banana leaf, under simulated environmental conditions. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), and bacterial concentration (CFU/ml). Data were sampled over defined periods using culture-based approaches.

This work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].
description: Data were generated through laboratory experiments investigating the persistence,  and survival of a clinically relevant strain of E. coli. Bacteria were cultured on materials (Banana Leaf and HDPE) and analysed for persistence over time. Materials (Banana Leaf and HDPE) were prepared and inoculated under controlled laboratory conditions. E. coli strains were inoculated onto materials in nutrient-rich and surface water environments. Sampling was taken at defined time points (7, 14, 21, 28 days).  The experiments utilised standard laboratory equipment such as 96-well plates and incubators. Instrumentation used for bacterial enumeration, including the plate reader, was calibrated according to standard laboratory protocols. The data underwent rigorous quality control through replication (biological triplicates), statistical analysis (ANOVA), and controlled experimental conditions (e.g., temperature and material consistency). Statistical methods including ANOVA and Tukey’s post-hoc tests were applied to assess treatment effects and survival outcomes.
DOI: 10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9
title: Historic Standardised Streamflow Index (SSI) using Tweedie distribution with standard period 1961-2010 for 303 UK catchments (1891-2015)

description: This dataset contains the Standardised Streamflow Index (SSI) data for 303 catchments across the United Kingdom from 1891 to 2015. The SSI is a drought index based on the cumulative probability of a given monthly mean streamflow occurring for a given catchment. Here, the SSI is calculated for the following accumulation periods: 1, 3, 6, 9, 12, 18 and 24 months. Each accumulation period is calculated for calendar end-months. The standard period used to fit the Tweedie distribution is 1961-2010. 

The SSI was produced by the RCUK-funded Historic Droughts project in order to characterise and explore hydrological drought severity over the period 1891-2015. This dataset is an outcome of the Historic Droughts Project (grant number: NE/L01016X/1).
description: The SSI is calculated as defined in Svensson, et al., (2017 https://doi.org/ 10.1002/2016WR019276) and is based on the cumulative probability of a given monthly mean streamflow occurring for a given catchment. Here the SSI is calculated for the following accumulation periods: 1, 3, 6, 9, 12, 18 and 24 months. The Tweedie distribution was fitted to each accumulated time series of monthly mean flows. The 'SCI' package for R was used to calculate the SSI and a new function was written to enable the SCI package to call the 'tweedie' package for R. The input data used is monthly mean streamflow derived from modelled reconstructed streamflow (Smith et al., 2018 https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e). Data were exported in comma separated value files (.csv format) and ingested into the EIDC.
DOI: 10.5285/7beefde9-c520-4ddf-897a-0167e8918595
title: UK gridded population at 1 km resolution for 2021 based on Census 2021/2022 and Land Cover Map 2021

description: This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).
description: Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency have been downloaded as CSV/Excel files.
Land Cover Map 2021 raster data has been obtained from UKCEH.
Output Area (/Data Zone) geography data (Extent of the Realm), were obtained for England & Wales, Northern Ireland, and Scotland.
The processing steps are detailed in the Supporting Documentation.
To ensure consistency of the final product, total population numbers were compared, at each processing step, with the official 2021/2022 Census totals. As a result, the final output file is consistent with the Census total population for the UK in 2021.