cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/b085a784-0e16-4174-b208-465a8f43c8c8
title: Derived annual statistics of rainfall, streamflow and acidity for the Nant Trawsnant catchment, Llyn Brianne, Mid Wales, UK. (1982 to 2012) 

description: This dataset comprises of derived annual statistics for measures of rainfall, streamflow, temperature and stream acidity (pH) for a stream, draining a small, approximately 1.2 square kilometres, upland conifer catchment. The stream, Nant Trawsnant, drains into the Llyn Brianne reservoir, Powys, United Kingdom. The data are for a 31 year period covering 1st April 1982 to 1st April 2012. The streamflow and acidity data are derived from 15 minute resolution observations throughout the calendar year 2013 from associated stream gauging and water quality stations on the Nant Trawsnant. The monthly rainfall measures presented, were derived from local rain gauges. The monthly temperature measures presented were derived from observations at a weather station near Talgarth, Powys. Routines within the Lancaster University Computer-Aided Program for Time-series Analysis and Identification of Noisy Systems (CAPTAIN) Toolbox for Matlab were used to develop a dynamic model of these data. These models were then used to simulate the 31-year record for which monthly statistics were derived. The statistics were derived to develop greater understanding of the controls on the long-term dynamics of aquatic biodiversity observed by other researchers in this stream. The work was part of the Diversity in Upland River Ecosystem Service Sustainability (DURESS) project, NERC grant NE/J014826/1. Members of staff from the Lancaster Environment Centre, Lancaster University installed, maintained and downloaded the stream gauging and water quality stations and also carried out statistical analysis of the data.

description: The streamflow and acidity data are derived from 15 minute resolution observations recorded onto Campbell Scientific CR1000 data loggers throughout the calendar year 2013 from associated stream gauging and water quality stations on the Nant Trawsnant. Data from each data logger were downloaded at regular intervals onto a laptop. Raw data were then transferred to a secure data store created for the DURESS project, hosted at Lancaster University. Records for local rain gauges were requested from the data owners. Temperature data were requested from the Met Office from observations at a weather station near Talgarth, Powys. The requested data for both rainfall and temperature were held in the DURESS secure data store. Final data were derived from these raw data using analysis in the Matlab programming environment. Values were exported in Excel spreadsheets and then into comma separated values for ingestion into the EIDC.
DOI: 10.5285/7d380209-9df4-4686-b7ad-de39cca19cce
title: Monthly atmospheric ammonia gas concentration data from Northern Ireland ALPHA® Ammonia Monitoring Network, 2019-2020

description: This dataset is from the Northern Ireland (NI) ALPHA® Ammonia Monitoring network, and consists of monthly concentrations of atmospheric ammonia (NH3) gas measured with the UKCEH ALPHA® method at 25 sites across NI for the years 2019 to 2020.

NH3 data were also collected with a monthly measurement frequency with the UKCEH DELTA® method at a further 4 sites, as part of the NI DELTA® Gas and Aerosol Monitoring Network. At one site, ALPHA® and DELTA® methods were co-located to inter-compare NH3 concentrations. Monthly NH3 data (2019 – 2020) from the NI DELTA® network are reported separately in a companion submission.

The network is operated jointly by Agri-Food and Biosciences Institute (AFBI) and the UK Centre for Ecology & Hydrology (UKCEH), and funded by the Department of Agriculture, Environment and Rural Affairs (DAERA), Northern Ireland.
description: ALPHA® samplers were prepared and analysed by the UKAS accredited UKCEH Lancaster Laboratory, following protocols and procedures in manuals and Standard Operating Procedures (SOPs) developed and adopted in the UK National Ammonia Monitoring Network (NAMN), operated also by UKCEH.

Measurement frequency was monthly, with monthly site visits (± 5 days of the 1st of each calendar month) by a network of trained local site operators to exchange samples. 

Sample exposure information (manual transcription from site recording sheets) and raw chemistry data files from analysed air samples (csv files) are stored, combined and processed in an oracle-based database (AAGA) to calculate and output calculated NH3 concentrations via a ShinyApp.

Output files are in a standardised reporting template, with data quality flags (based on flags defined in ebas;  https://projects.nilu.no/ccc/flags/). Each output file generated are time-stamped, with versioning control. 
An annual field calibrated ALPHA® uptake rate from the UK National Ammonia Monitoring Network project (https://uk-air.defra.gov.uk/networks/network-info?view=nh3) was applied to the ALPHA® data for the corresponding calendar year.

Ratified data were generated following a multi-stage, iterative review process, with both automatic and manual data checks, in accordance with procedures in the AAGA data processing system and data review SOPs.
DOI: 10.5285/ef7e47ae-bd28-4449-8587-8e5dda4ccfee
title: Effects of coloured environmental noise on life history variation and population dynamics in the Plodia-Venturia trophic interaction

description: This dataset contains information on life history variation and population dynamics in response to coloured environmental variation in the laboratory model system comprised of the moth Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst). 

Data were collected from two complementary experiments investigating the effects of daily coloured temperature fluctuations on individual life history variation (single-generation life history experiment) and population dynamics (multi-generation microcosm experiment) in both species. In both experiments, the effects of three types of coloured noise were investigated and compared to constant temperature conditions: blue noise (characterized by rapid (negatively autocorrelated) fluctuations), red noise (characterized by slow (positively autocorrelated) fluctuations) and white noise (characterized by random fluctuations). The life history experiment lasted 56 days and the microcosm experiment lasted 310 days.
description: A single-generation life history experiment and a multi-generation microcosm experiment was carried out in the Plodia interpunctella-Venturia canescens host-parasitoid laboratory model system to investigate the effects of coloured temperature fluctuations on life history variation and population dynamics in a trophic interaction. The colour of environmental variation refers to its temporal (or spatial) structure. High frequencies (rapid fluctuations) dominate in blue environments, low frequencies (slow fluctuations) dominate in red environments and there is no dominant frequency in white environments. 

More details of the material and methods can be found in the Supplementary information.
DOI: 10.5285/06fc0b8c-cc4a-4ea8-b4be-f8bd7ee25342
title: Terrestrial habitat, vegetation and soil data from Shetland, 1974

description: Terrestrial habitat, vegetation and soil data from a survey of Shetland, carried out in the summer of 1974 by the Institute of Terrestrial Ecology. Nearly 1000 x 200m2 plots were surveyed from across the islands, selected on the basis of a stratified sampling strategy. Details about plant species, soils, habitat types and major biota present were collected using standardized survey methods. This survey was part of a larger project to assess the status and value of Shetland's plant and animal species and communities.
description: Data was collected using standardized recording methods in the summer of 1974 by the Institute of Terrestrial Ecology. The data were transferred to spreadsheets in the 2000s and are maintained by the Centre for Ecology & Hydrology, Lancaster. Full details of methods are given in the supporting documentation.
DOI: 10.5285/39bed192-423a-4bbf-9b97-7d3da8aab445
title: Zooplankton taxa abundance from Windermere North Basin and Esthwaite Water,  UK, 2005-2009

description: This dataset contains zooplankton taxa density sampled fortnightly from Windermere North Basin and Esthwaite Water in Cumbria, England. All data are from January 2005 to December 2009. The data available to download comprise the density of all zooplankton taxa identified in the samples in individuals per m2. Zooplankton were sampled from a boat at a marked location (buoy) using a plankton net (250µm), preserved, and counted in the laboratory, to determine the density of identified zooplankton taxa (individual per m2) within each sample.

This dataset was created as part of an ongoing long-term monitoring program of Lakes within the English Lake District,  which has collected a range of environmental and biological measurements since 1945.

description: Zooplankton were sampled via a plankton net with a mesh size of 250 µm, with one vertical tow from 14 m depth for Esthwaite Water and 40 m for Windermere North Basin from a boat at a marked location (buoy). Samples were preserved immediately with ethanol before transported back to the laboratory where samples were rinsed and preserved with 4% formaldehyde. Zooplankton samples were counted by one person per lake on a Wild Heerbrugg M8 stereo microscope. If zooplankton numbers were high, subsamples were counted by adding the zooplankton sample to a larger, known volume of distilled water and subsampling with a 5 ml Stemple pipette until the counts of most species (except very rare taxa) were in double figures. Wherever possible, zooplankton were determined to species level, however for some taxa this was not possible, i.e. Chydorus spp., Harpacticoid copepods and Rhynchotalona spp.

Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data have been checked visually.
DOI: 10.5285/761cee06-cb94-476e-bb62-69ae634aa5ca
title: Flower-insect timed count data from the UK Pollinator Monitoring Scheme, 2017-2021

description: This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2021 (note that 2017 was a pilot year and has less data than subsequent years).

The “public” FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes.

The “1 km square” FIT Count uses the same methodology but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares across the UK, and also gathers data on pan-trapped insects (see separate dataset). In 2017-2020 the 1 km square survey took place in England, Scotland and Wales only; from 2021 the survey has full UK coverage, but with limited data from Northern Ireland in 2021 which was a pilot year for that country.

UK PoMS is coordinated by UKCEH, with involvement from the following partners: Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Buglife, Hymettus, Natural History Museum, the University of Reading and University of Leeds, and working with recording schemes and societies.

UKPoMS is advised and supported by a Steering Group, involving UKCEH, JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, and SASA.
description: Public FIT Counts are carried out at locations and dates chosen by the participants, at any time when weather conditions are suitable between 1 April and 30 September each year. A set of fourteen target flower types is provided, but participants are free to choose a different flower if a target species is not available. Guidance is provided to participants on how to select a suitable location and position a quadrat, and on how to identify the insect group categories when counting visiting insects.

One km square FIT Counts follow the same methodology for the ten-minute count, but take place in up to 95 1 km squares, during four visits each summer, aiming for one visit in each month from May to August. There will be gaps in the data where a square cannot be visited during a particular year or month.

Data is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided of the target flowers, and these are corrected where the original identification is not correct. Participants can optionally add photos to show examples of the insect groups that they have seen and counted, although these photos should not be taken during the count itself (so as to avoid disturbing visiting insects) so cannot be corrected in the same way.
DOI: 10.5285/f09a0ada-b5c6-4dd9-9c7b-2fed23ab79b1
title: Species traits and derivation of hairiness of oilseed rape pollinators

description: The  dataset describes the functional effects traits derived for 57 taxonomic units (species, genus and family level classifications) of oilseed rape insect pollinators.   This data provides information on both morphological and behavioural traits, typically at the species level, but also at a generic and functional group level.  

Data acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).
description: We derived behavioural and morphological traits that had a high likelihood of affecting the success and rate with which pollen is transferred to the stigmas of oilseed rape (effect traits).  These traits were: 1) body length;  2-6) quantification of behavioural interactions with oilseed rape flowers (e.g. time spent on flowers, pollen foraging and dry pollen on bodies); Trait 7) an index of overall body hairiness; Traits 8-14) morphological characteristics affecting pollen retention on bodies linked to the  presence of corbicula and scopa; Trait 14-15) pollen availability dictated by whether or not pollen is carried within bee crops; Trait 15) mouthpart structure.   Traits 8-15 are associated with bees, however, their absence will affect the pollen carrying capacity for non-bee species and as such are relevant cross taxon effect traits.
DOI: 10.5285/54de61a1-8749-4851-a1c0-c71f9d483c7d
title: Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest 2015-2016

description: This dataset contains daily micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, North East Wales. The data contain air temperature, (degrees celsius) soil temperature (degrees celsius) at 2 depths (5 and 20 centimetres) and soil moisture as metre cubed per metre cubed. The data run from 01/07/2015 until 31/08/2016. Data were recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January 2016 data were averaged half hourly. Data are then to averaged to daily values, which are reported here. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20 to 30 years. The reported plot level temperature and soil moisture data are important to evaluate the effect of the imposed climatic treatments on ecosystem processes and functioning. Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Data collection, processing and quality checking were carried out by CEH Bangor staff members.
description: Data are recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January  2016 data were averaged half hourly. The hourly or half hourly data was transferred from loggers at the field site onto CEH Bangor's server via a remote telemetry system. Each morning, the previous days data was transferred via telemetry.This dataset combines daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 centimetre (cm) and 20 cm soil depth (degrees Celsius). Air temperature is measured 20 cm above the soil surface (degrees Celsius) and soil moisture is measured as soil volumetric water content (m3 per m3). Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Soil and air temperatures are measured with a T107 sensor from Campbell scientific. Soil moisture is measured with CS616 sensors from Campbell scientific.  Daily average values were downloaded to csv files for ingestion to the Environmental Information Data Centre.

Data were collected from the climate change field site Climoor which is located in the Clocaenog forest, North East Wales. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season. Warming roofs were in operation from 1st April 2014 - 19th November 2015 and were started again on 6th April 2016. Drought roofs were in operation 7th April - 23rd September 2015. The drought roofs were not in operation in 2016.
DOI: 10.5285/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f
title: Very high resolution derived biomass estimates in the Corridor  Ankeniheny-Zahamena (CAZ), Madagascar

description: The products represent biomass estimates for four areas of interest in the Corridor Ankeniheny Zahamena (CAZ), Madagascar, generated using very high resolution imagery and based on field-collected plot information. 

The study extent aims to capture the drivers of deforestation in the Corridor Ankeniheny-Zahamena (CAZ). Multiple variables were incorporated into the sampling design, including elevation, slope, bioclimate zone, length of dry season, soil type, deforestation history (by epoch and elevation), and access.   Based on these criteria, four Zones of Interest (ZOIs) were identified and modified in an iterative approach involving preliminary reconnaissance work, information on access provided by partners, and initial analyses of spatial data layers. 

The products were generated as part of a project, 'Can Paying 4 Global Ecosystem Services reduce poverty?' (P4GES), funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme
description: Random forest regression models were used to estimate biomass values for each of the ZOIs. Training data were a number of different biomass plots distributed roughly equal over the four ZOIs, so that most of the variation within the image was captured. These training data are then used to calculate the relationships between segment features and biomass in a random forest regression model. That model is then used to predict biomass estimates for each segment.

The output is limited to a single predicted biomass image since per-segment prediction confidence metrics are not available.
DOI: 10.5285/aa4c9ff1-8215-49bf-b044-32e66f290d95
title: Grain size distributions in saltmarsh soil samples from UK saltmarshes collected between 2018 and 2021

description: The dataset details the grain size distributions of 459 subsamples from 18 soil cores collected from across 14 UK saltmarshes between 2018 and 2021.

The work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1
description: Across UK saltmarshes wide diameter (60mm) soil cores were collected. The location of each coring site was recorded using Differential Global Positioning System (DGPS). Prior to analysis the samples were stored at 4 degrees Celsius at the University of St Andrews. Upon return to the laboratory the cores were described following the Troels-Smith scheme. The cores were sub-sampled at 1cm intervals and particle size analysis was undertaken using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of York. 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: 10.5285/16b26b21-98ce-4c26-8b9e-c80c91403d9e
title: Modelled Miscanthus yield and soil carbon change data for the tropics (2040-2049) and Europe (2090-2099)

description: This dataset contains potential yields of Miscanthus and changes to soil carbon storage resulting from Miscanthus cultivation. The purpose of this study was to evaluate and compare diverse modelling techniques for evaluating the potential of bioenergy crops to mitigate climate change. 

Three different types of gridded global models were used: a land surface model, JULES (the Joint UK Land Environment Simulator); a bioenergy crop model, MiscanFor; and an integrated assessment model, IMAGE (Integrated Model to Assess the Global Environment). The simulated scenario uses land use and climatology from RCP (Representative Concentration Pathway) 2.6 and focuses on two study areas: the tropics during 2040-49, and Europe during 2090-99. 

These data were generated as part of the NERC programme Feasibility of Afforestation and Biomass energy with carbon capture storage for Greenhouse Gas Removal (FAB GGR) (Grant NE/P019951/1).
description: The data are model output produced for the purpose of evaluating and comparing Miscanthus yields and soil carbon impacts from three different types of global model. The models used are: a land surface model, JULES (the Joint UK Land Environment Simulator); a bioenergy crop model, MiscanFor; and an integrated assessment model, IMAGE (Integrated Model to Assess the Global Environment). All files provided are raw model output and have undergone no post-processing. The units of yield and soil carbon content are described in the Supporting Information.

This dataset underpins the analysis in Littleton et al. 2022, "Uncertain effectiveness of Miscanthus bioenergy expansion for climate change mitigation explored using land surface, agronomic and integrated assessment models" (https://doi.org/10.1111/gcbb.12982).
DOI: 10.5285/1e57032c-327a-49c7-bb2e-43921dc116e2
title: Monthly analysis of the cellulose and distilled moss water isotope composition for temperate East Anglian mosses

description: The dataset contains a key to species and locations of moss samples and water samples collected along with relative water contents for moss samples. The stable carbon (13C/12C) and oxygen (18O/17O) composition of cellulose is presented, along with the stable oxygen (18O/17O) and hydrogen (2H/1H) isotope compositions of fresh water and water samples distilled from moss tissue. 
description: Data was collected by the authors. As data were generated checks were made to ensure accuracy (certified reference materials used in isotope analysis) and precision (repeat measurements) were within tolerance limits.