cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/8cfd9a2a-8b68-40c6-94a1-be8e02e869c1
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) eddy covariance flux data for Abbotts Hall, Essex

description: The eddy covariance data describes the fluxes of CO2, latent energy, and sensible heat. It also includes ancillary data: air and soil temperatures, net radiation balance, down-welling photosynthetically active radiation, wind speed, wind direction, vapour pressure deficit, friction velocity, Monin-Obukhov stability and modelled respiration. Data collection was carried out at Abbotts Hall marsh from the 15 December 2012 till the 27 January 2015. The Abbotts Hall site is in Essex, South East England, and the meteorological tower was situated in the middle of the marsh. 

This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.
description: Measurements are recorded on Campbell Scientific (CS) dataloggers. A CS Closed Path Eddy Covariance (CPEC200) system was used to measure the fluxes. Flux and wind velocity measurements were made at 10 Hz using the CS CPEC200's CSAT3A anemometer install at 4.3 m on a lattice tower by a CS CR3000 datalogger. Fluxes were processed using EdiRe and Matlab.

The remaining variables are record at 1/60 Hz (i.e. every minute) by a CS CR1000 with multiplexer. Air temperature and humidity is measured with Vaisala HMP155A and then converted to Vapour Pressure deficit (VPD). Precipitation is record by an Environmental Measurements Limited (EML) ARG100 tipping bucket rain gauge. Net radiation is measured with a Kipp and Zonen NR Lite. Photosynthetically active radiation (PAR) is measured with a Skye Instruments SKP215. Soil temperatures are measured with CS 107 thermistors.

Mean half hourly values were calculated in Matlab. The time refers to the middle of the half hourly period. E.g. 00:15 refers to the half hour from (and including) 00:00 up to (but not including) 00:30.
DOI: 10.5285/808b2b62-14db-4483-b0e6-5f533c007eec
title: Management data and antibiotic resistant E. coli detection in pre-weaned calves on 51 dairy farms, South West England, 2017-2018

description: This dataset consists of faecally-contaminated samples taken from the environment around pre-weaned calves on 51 farms in South-West England during 2017/2018 and is a subset of a larger dataset investigating antibiotic resistance in E. coli across 53 farms.  The samples were analysed for presence of E. coli resistant to amoxicillin, streptomycin, cephalexin, tetracycline and/or ciprofloxacin. Management factors deemed related to pre-weaned calves are included, including antibiotic usage data at farm level.
description: This dataset is a subset of the "Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019" dataset (https://catalogue.ceh.ac.uk/documents/c9bc537a-d1c5-43a0-b146-42c25d4e8160) and comprises of 1. Records of samples taken from 51 farms including date, type, eartag numbers of animals in the immediate environment, and descriptive location of sample. 2. Results of microbiological analyses of the samples to identify E. coli resistant to amoxicillin, cephalexin, tetracycline, ciprofloxacin and/or streptomycin. 3. For samples where E. coli resistant to cephalexin were detected, results of laboratory testing for resistance mechanism.  3. For samples where E. coli resistant to cephalexin was detected, results of laboratory testing for resistance mechanism. 4. Questionnaires administered to farmers between Jan 2017 and Jan 2019. These collected demographic and farm management data at the start and end of the data collection periods for each farm, as well as questionnaires around choices of antibiotic administered during the data collection period at the convenience of the participants. 5. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.
DOI: 10.5285/d6c36f89-07f1-4bcc-96a0-f5302fd3ccec
title: Male mate size preference in Teleopsis dalmanni

description: These data are the recorded outcomes of binary male choice experiments. Teleopsis dalmanni males were able to choose to mate with either a large or a small female. Individuals were taken from laboratory stock populations. Also included is information on male genotype indicating if he is a carrier of a sex-ratio distorting or nondistorting X chromosome, and a calculation of male preference. The second dataset additionally contains measures of male eyespan and thorax length obtained by measuring images.
description: All data were generated by the authors. Mating observations were standardised by only admitting mating behaviour that lasted longer than a pre-determined amount of time.
DOI: 10.5285/3684da74-6c6d-4f25-867b-62b7b68175f6
title: Physicochemical data of glacier rivers in the Cordillera Blanca, Peru, 2019-2020

description: This dataset includes measured physicochemical variables in ten rivers of the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. The environmental variables measured in the rivers include pH, turbidity conductivity, total nitrogen, total phosphorus, dissolved organic carbon, dissolved inorganic carbon, metal ions and anions. Channel stability assessments using the Pfankuch index are also included.

This data was used to analyse the physicochemical changes under glacial retreat, studying rivers in a gradient of glacial coverage, and relate it to the biodiversity of macroinvertebrates.

The sampling work was carried out from October 14 to 30, 2019 and from October 7 to 16, 2020. 

The study was funded by NERC, Newton‐Paulet Fund and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica-Perú.
description: Field environmental parameters were measured with the previously calibrated Multi 3630 IDS multiparametric instrument. Water samples were collected for analysis of metal ions, anions and nutrients in the laboratory of the Faculty of Environment, University of Leeds, England. Calibration standards with known concentrations were used to ensure the accuracy and precision of the measurements. More detail is available in the supporting documentation accompanying the data.
DOI: 10.5285/7e2981e7-bd4c-4992-b7b0-1b1253bfd20d
title: Countryside Survey estimates of Broad Habitat area change in Great Britain between 1990,1998 and 2007

description: This dataset consists of change data for areas of Broad Habitats across Great Britain between 1990 and 1998, between 1990 and 2007, and between 1998 and 2007. The data are national estimates generated by analysing the sample data from up to 591 1km squares and scaling up to a national level. The data are summarized as change in habitat area per Land Class (areas of similar environmental characteristics). The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB and using the 'ITE Land Classification' as a method of stratification. The data were collected as part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978 by the Centre for Ecology & Hydrology. 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. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.
description: The data were recorded onto paper field sheets in the summers of 1990 and 1998/1999 by surveyors. In the summer of 2007, the data were recorded using electronic data capture devices. Data were recorded from 508 1km squares (1990), 569 1km squares (1998/1999) and 591 1km squares (2007) sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats from 1990 and 1998/1999 were digitized in 2000. The digitized data were used to generate national estimates of the change in 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).
DOI: 10.5285/fc65177d-b113-420e-a70b-05d3f42682d5
title: Countryside Survey 2007 mapped estimates of linear feature lengths in Great Britain

description: This dataset consists of stock (length) data for linear features across Great Britain in 2007 in a vector format. The data are national estimates generated by analysing the sample data from 591 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 per 1km square for seven 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 using electronic data capture devices in the summer of 2007 by surveyors. Data were recorded from 591 1km squares sited across Britain, selected by random stratified sample. The 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 km square per Land Class.
DOI: 10.5285/60e77fd4-7a24-4545-8d90-08e9dfcbd16a
title: Litterfall ant genus and abundance in a fertiliser experiment area in Central Amazon, 2018-2019

description: Data are presented showing litterfall ant species and abundance from a plot based fertilisation experiment. The experiment was carried out at the Biological Dynamics of Forest Fragments Project (BDFFP) approximately 100 km north of Manaus. Data were collected in October 2018 and September 2019 by Santos-Neto. Sampling was carried out using a Wrinkler extractor. The data were collected to investigate the possible effects of different fertiliser applications on litterfall ant species and abundance. 

The work was carried out as part of the Amazon Fertilization Experiment (AFEX), funded by the Natural Environment Research Council (NERC), Award reference NE/L007223/1, by the Brazilian government (Researcher scholarship) and the Biological Dynamics of Forest Fragments Project (BDFFP - logistical support and camps maintenance).


description: Ant sampling was carried out in five 1x1 m sub-plots collected inside the 50 x 50 m plots, totaling 20 sub-plots per treatment and 160 in total. Ant samples were collected with a Winkler extractor. The litter was sampled and placed in a Winkler sacks. The material from the collection bag was placed in the Winkler extractor for a period of 48 hours. The ants were collected in a pot containing 90% alcohol as a fixative liquid. Identification and abundance was carried for each of the collection bags. 

Results were recorded onto field sheets and entered into an Excel spreadsheet. Data where exported as comma separated file for deposit into the EIDC.
DOI: 10.5285/bb703113-3428-483c-858a-2a85cafd9821
title: Vegetation map of the Moor House National Nature Reserve 

description: This is a spatial dataset containing polygons representing areas of vegetation mapped within the Moor House National Nature Reserve in the northern Pennines, England. The map was created by staff of The Nature Conservancy in the 1960s.
description: This map was created by Eddy, A., Welch, D., & Rawes, M. in the early 1960s at the Nature Conservancy's Moor House Field Station (a forerunner of the Centre for Ecology & Hydrology). Note that the reserve has been extended to Upper Teesdale, however this map covers the Moor House area only. The original field survey was mapped on to a base map on the scale of 6 inches to the mile (1:10560). The paper map was digitised by the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology) in the 1990s. See online Supporting Information for further details.
DOI: 10.5285/a33d5ee3-d201-4feb-83b9-765ee5b2c25e
title: Flower number and flower size of UK wildflowers following ozone and warming treatments, 2021

description: This dataset consists of measured data of flower numbers and flower size following ozone and warming treatments in the solardomes experimental facility at UKCEH. Ozone and meteorological conditions in the solardomes were also sampled continuously, and hourly data are provided for each parameter.
The ozone exposure and warming treatments were from 1st June to 25th October 2021 and flowers were counted and measured monthly over the period June to September 2021. Plants were obtained as ‘plug plants’ and were grown in pots in the solardomes.

description: The dataset comprises of manually collected data on flower numbers and size, with QA to check that data were within appropriate range, and outliers checked for plausibility. Ozone and meteorological conditions within the solardomes were automatically logged by PC, with QA to check that data were within appropriate range, outliers checked for plausibility, and gap-filling where necessary.
DOI: 10.5285/afadb068-7e35-4271-bf07-0227d0a7a10f
title: Modelled ozone flux for the grassland growing season in the UK and USA in 2018

description: This dataset consists of a vector layer (based on 1 by 1degree grid), of modelled ozone flux (POD1IAM, mmol m-2), The values per grid cell are Phytotoxic Ozone Dose above a threshold of y (y=1 nmol m−2 sec−1 in this case) for use in large-scale Integrated Assessment Modelling (IAM). The accumulated flux value per 90-day grassland growing season (mid-April to mid-July) is provided per grid cell, for the year 2018, across the UK and USA.
description: The ozone flux data are an output of the global EMEP (European Monitoring and Evaluation Programme) chemical transport model (version 4.45). The model uses the Weather Research and Forecast (WRF) model (4.2.2) to calculate hourly 3D meteorological data for the year 2018. The emissions data used as model inputs were based on the IIASA ECLIPSE v6a (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) GAINS (Greenhouse gas – Air pollution Interactions and Synergies) model for the year 2015.
Flux values are calculated from modelled hourly stomatal uptake and accumulated during daylight hours. Daily values were then summed for the 90-day grassland growing season (mid-April to mid-July), in the year 2018, for the UK and USA. Output data from the EMEP-WRF model go through a process of quality assurance/control before use in subsequent analyses.
DOI: 10.5285/f7b2beaa-08cf-48db-9b07-c55118d11506
title: Soil physical, chemical and microbial properties from a field experiment in the Conwy Valley, North Wales, UK (2015)

description: General soil chemical, physical and microbial properties are presented for soil samples at six depths collected from a field experiment in the Conwy catchment. Samples were collected in May 2015.

Core samples were taken along three transects by trained members of staff the Centre for Ecology & Hydrology and Bangor University. General soil chemical, physical and microbial properties were measured at six depths by trained members of staff, using recognised procedures at the laboratories of the School of Environment, Natural Resources and Geography, Bangor University.

The samples were taken to provide supporting information for assessing the relationship between soil microbial populations and soil properties.
The data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.
description: Samples were collected along three transects. Along each transect, intact soil cores were extracted at 2, 12 and 75 metres in intact 4 centimetre diameter and 1 metre length cores. The cores were then wrapped in thin-walled polyethylene (PE) sleeves to maintain core integrity and immediately transferred to the laboratory and stored at 4 degrees Celsius prior to analysis. Samples were taken from the core at where possible six depths (0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres). Analysis was carried out at the laboratories of the School of Environment, Natural Resources and Geography, Bangor University using standard procedures for the following pH.

Electrical conductivity, percent moisture content, percent loss on ignition, Total organic carbon, Total dissolved nitrogen, Microbial carbon, Microbial nitrogen, Soluble reactive phosphorus, Ammonium, C:N ratio, Total carbon, Total nitrogen, Maximum Phosphorous adsorption and Ammonium adsorption.
Full details of the procedures used are provided in the supporting documentation. 

Data were entered into an Excel spreadsheet and exported as a .csv file for ingestion into the EIDC.
DOI: 10.5285/994c9c66-cf12-44af-9716-810c18985e18
title: Temporal and geographic distribution of multidrug-resistant human bacterial pathogens in urban waste piles, Blantyre, Malawi, 2022-2023

description: This dataset contains information relating to the temporal and geographic distribution of clinically relevant bacterial pathogens on waste materials (plastics, fabrics, organics) within urban waste piles, in Blantyre, Malawi. The data was collected between June 2022 and July 2023.

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: Samples of plastic, fabric and organic material were collected from the environment.
Isolate recovery, identification and antimicrobial resistance were investigated in controlled laboratory settings.
Data underwent thorough validation at each stage, including replication, selective media confirmation, and regression modelling, ensuring high reliability and accuracy before submission.
DOI: 10.5285/40e30580-9191-45d8-8e99-21de3c048250
title: European Monitoring and Evaluation Program Model for the UK (EMEP4UK) daily atmospheric composition and flux output data, UK, 1960-2020

description: This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides daily mean atmospheric compositions and fluxes of the UK on a 3x3 km2 resolution grid for years between 1960 and 2020.

The EMEP4UK model version used here is rv5.0, and the WRF model version is the 4.4.2. 

This work was supported by the Natural Environment Research Council award number NERC (NE/R016429/1) as part of the UK-SCAPE programme delivering National Capability.

description: Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.

The data were processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.
DOI: 10.5285/7aefe6aa-0760-4b6d-9473-fad8b960abd4
title: Habitat and vegetation data from an ecological survey of terrestrial key habitats in England, 1992-1993

description: This dataset comprises linear and areal habitat information and vegetation species recorded during an ecological survey of stratified random 1km square sites across England in 1992 and 1993.  The survey was carried out by the Institute of Terrestrial Ecology (which later became part of the Centre for Ecology & Hydrology (CEH)) and was commissioned in order to carry out survey work into habitats which were perceived to be under threat or which represented areas of concern to the Department for the Environment (named as 'Key Habitats').  The habitats (or landscape types) in question were:  Lowland heaths, chalk and limestone grasslands, coasts and uplands.  The survey was designed to complement  CEH's national ecological survey, the 'Countryside Survey'.
description: The survey was undertaken by trained field surveyors and botanists in the summers of 1992 and 1993 and was managed by the Institute of Terrestrial Ecology in Grange over Sands, Cumbria.  Data were entered onto paper field sheets and later digitised.  Data have since been validated, and are managed and stored in a central database at CEH Lancaster.