cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/b98efec8-6de0-4e0c-85dc-fe4cdf01f086
title: UK Environmental Change Network (ECN) fine grain vegetation data: 1994-2015

description: Fine Grain Vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). In this protocol, 10m x 10m plots are randomly selected within each vegetation type on the site - species presence is recorded in 40cm x 40 cm cells randomly selected within these plots. They represent continuous records every three years (some sites record data annually) from 1994 to 2015. 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: Data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). In this protocol 10m x 10m plots are randomly selected within each vegetation type on the site - species presence is recorded in 40cm x 40 cm cells randomly selected within these plots. 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: 10.5285/16df35a9-90ab-4273-8b6c-5ef3648ec76d
title: Flow velocity transects collected seasonally at six tributaries of Hampshire River Avon from 2013 to 2014

description: The dataset contains high-resolution flow transects that were obtained from representative sites at six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) of the Hampshire River Avon catchment (UK). Data were obtained from field-based measurements in seasonal campaigns conducted between spring 2013 and winter 2014.
description: All data were generated by the authors. As data containing physical parameters were generated, checks were made to ensure that each instrument was properly calibrated and serviced prior to each campaign to keep accuracy and precision within the manufacturer tolerances. Flow measurements that were inconsistent with adjacent measurements were repeated to avoid biases. A note was added to flag data point where specific benthic features, such as aquatic vegetation, were present in the vicinity of the measurements spot. Only out-of-range (i.e., negative) flow averages were directly removed from the datasets.
DOI: 10.5285/23dfa136-82f4-4c96-8df0-f44c1798f7b4
title: Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere South Basin, UK, 2023

description: This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. All data are from January 2023 until the end of 2023.
description: Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, equipment limitations, or staff shortages.
Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake.
DOI: 10.5285/9b6c2393-b751-46b4-b139-71ca09321139
title: Growing-season eddy covariance measurements of carbon dioxide, energy and water fluxes of a bioenergy maize crop, Yorkshire, UK, 2021

description: This dataset contains 30-minute observations of land-atmosphere exchange of net ecosystem carbon dioxide exchange and sensible and latent heat measured over the growing season of a maize crop grown for bioenergy in Yorkshire, UK. Turbulent fluxes were measured using the micrometeorological eddy covariance method between 02/06/2021 and 10/10/2021. The dataset also includes weather and soil physics measurements. 
description: Fluxes of net ecosystem carbon dioxide exchange, sensible heat, latent heat, atmospheric turbulence and sonic temperature were measured and averaged into 30-minute observations using a LI-COR LI-7200RS enclosed infrared CO2/H2O gas analyser and Gill Windmaster three-dimensional sonic anemometer. Energy fluxes were measured with an Apogee SN-500 net radiometer. Air temperature and relative humidity were measured using a Vaisala HMP155 temperature and humidity probe. Soil temperature and moisture were measured using a METER TEROS 11 temperature and moisture probe.
Data was logged with a Campbell Scientific CR1000X datalogger.
Fluxes were calculated using EddyPro7 V7.0.6 software.
Outliers were removed and gap-filling was done according to the workflow of Morrison et al. (2019).
DOI: 10.5285/657f420e-f956-4c33-b7d6-98c7a18aa07a
title: A time-series of strains in response to wind measured on 19 trees in Danum Valley, Malaysia

description: Strain data measured on the trunks of nineteen trees in the Danum Valley, Malaysia. It also contains wind speed data measured using anemometers attached to emergent trees nearby. This data can be used to extract the fundamental swaying frequencies of these trees, and to quantify the relationship between wind speed and bending strain and so estimate wind damage risk. This data would be useful for anyone studying the interaction between wind and trees. The tallest tree in this data set is approximately 51 m tall.
description: This data was collected from October 2016 to April 2017 in Danum Valley, Malaysia. The data was initially saved on Campbell data loggers and Raspberry Pis and then transferred to a laptop. The individual data files were consolidated into a single file per data logger and this raw data is provided in the repository. This raw data was calibrated and filtered and the pairs of strain gauges combined into a single per tree bending strain signal. This processed data is also provided in the repository. No processing was necessary for the wind data and this is provided in its raw form.
DOI: 10.5285/ce702019-77fe-4ca7-b1d4-a7e4eb6e40c0
title: Data from automatic water monitoring buoy from Bassenthwaite Lake,  2008 to 2011

description: This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Bassenthwaite Lake, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2008 and 2011 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail.
description: Data from the automatic water quality buoy on Bassenthwaite Lake are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2008 to 2011. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.
DOI: 10.5285/4a6301d4-b551-4ce0-8d02-beb26e44c72d
title: Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere North Basin, UK, 2023

description: This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. All data are from January 2023 until the end of 2023.
description: Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore along with surface temperature and oxygen measurements (from 2023 onwards). Water samples were not integrated on these occasions, marked as Flag 2.
Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, equipment limitations or staff shortage.
DOI: 10.5285/e674e08c-fbf5-411b-940c-7e31014f0e76
title: Social surveys to environmental scientists and local stakeholders in Chinese villages to understand knowledge management dynamics

description: Data comprise results of social surveys carried out in China during 2016 – 2018 to environmental scientists and the local stakeholders (farmers and village to county level officials) to understand their knowledge learning dynamics and preference. Surveys were conducted in the rural villages in Puding County, Guizhou Province, Changwu County, Shaanxi Province, and Yujiang County, Jiangxi Province.
description: The interviews to Puding farmers and leaders were recorded and transcribed afterwards with their agreement.
Local undergrad students and villagers helped with the surveys in Changwu.
Questionnaire surveys were conducted to British and Chinese scientists to explore the knowledge management methods used in their environment research.
DOI: 10.5285/11b69869-90db-4deb-8ec2-a78f6bb0ea24
title: Smart sensor data from tracking a single wooden dowel travelling along a flume in laboratory experiments

description: This dataset contains measurements from smart sensors and cameras monitoring the movement of a single wooden dowel moving downstream in a flume. The following values in the x, y, and z directions are provided: velocity, linear acceleration, angular velocity, and filtered angular velocity. The quaternion components are also included. Four uniform flow conditions were tested, and the experiments were repeated about 50 times. 
description: The wooden dowel was hollow, and a sensor equipped with an accelerometer, a gyroscope, and a magnetometer was installed within the longitudinal borehole of the wooden dowel.  The experiments were recorded above by two cameras (GoPro HERO4 Silver) with a 2.7K resolution and a frame rate of 30 fps. The accelerometer and gyroscope had an acquisition frequency set at 14.9 Hz, whereas the magnetometer recorded at 5 Hz. 

The data were processed and saved in CSV files, one for each flow condition and each experiment. First, the cameras were calibrated and the images were rectified. Then, each sensor was calibrated and the orientation angles were computed. The gravity effects were compensated for to compute the linear acceleration. Lastly, a linear Kalman filter was used to computer more reliable linear acceleration, velocity and position values. More details are available in the ReadMe.docx.
DOI: 10.5285/4d8c7dd9-8248-46ca-b988-c1fc38e51581
title: UK Environmental Change Network (ECN) frog data: 1994-2015

description: Frog data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include phenology (i.e. the dates when frogs start congregating, spawning, when hatching occurs and when the frogs leave), number of spawn masses, total surface area covered by spawn, percentage of dead spawn, depth, pH, conductivity, alkalinity, aluminium, calcium, chloride, ammonium, nitrate nitrogen, phosphate phosphorous, potassium, sulphate sulphur, sodium, total nitrogen and total dissolved phosphorous. These data are collected at ECN's terrestrial sites using a standard protocol. They represent continuous records from 1994 to 2015. 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 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: 10.5285/9f1b307b-9b47-4a11-8e5b-e14008ad0032
title: Estimated Aspergillus fumigatus concentrations at postcode level within close proximity of outdoor composting facilities in England, 2005-2014

description: These files represent the model build used to generate postcode level concentrations to estimate Aspergillus fumigatus exposure from outdoor composting activities in England between 2005 and 2014. Each file, named after the nearest SCAIL-Agriculture validated meteorological station used to model the outputs, contains modelled concentrations at composting sites within 4km of each composting site. These files, presented as.txt, are the .APL files used to model bioaerosol dispersion from every composting site in England, using ADMS 5. To use this file, please convert the .txt file extension to .APL and upload into ADMS. From there, press run. Model runs are likely to generate over 40GB of data per model run.

The work was supported by the Natural Environment Research Council grants ((NE/P010806/1 and NE/M011631/1).

description: The model build is derived from inputs from academic literature (for particulate matter), meteorological information (BADC) and the authors considerations of site operating hours.
DOI: 10.5285/97256972-e6a5-471c-9236-3a2162075640
title: Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2021-2022

description: This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Esthwaite Water in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. All data are from January 2021 until the end of 2022.
description: Please note that the data presented here are raw data that have not yet been quality-controlled and calibrated. However, the data has been double-entered and checked visually. Missing data are due to weather conditions, COVID-19 restrictions, or staff shortages.
Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2.
DOI: 10.5285/ad1bb542-e75c-423f-8421-b247b2f72ce6
title: Geochemistry and grain size of terrestrial sediments collected across a stream network, Swineshaw Moor, UK, 2018

description: This dataset contains details of sediment geochemistry, loss-on-ignition and sediment median particle size for terrestrial sediment samples collected across the stream network of Harehill and Swineshaw Moors, Stalybridge, Tameside, Manchester. Samples were collected on three occasions in 2018 following a severe moorland wildfire (July 2018). Sediment samples were collected using stream sediment traps which accumulated sediments between the dates of sampling. Sediment traps were emptied in the field and samples were returned to the laboratory for analysis. 

The work was supported by the Natural Environment Research Council (Grant NE/S011560/1).
description: Samples were collected from seven sites in the stream network on three occasions (04/10/2018, 13/11/2018 and 13/12/2018). Bulk samples were subsampled for geochemistry (elemental analysis mg/g), loss on ignition (%) and median particle size (mm) which was determined in the laboratory.
DOI: 10.5285/bcec9c33-f863-464e-ac28-73b981bd40a4
title: Potential evapotranspiration derived from Climate Hydrology and Ecology Research Support System meteorological gridded climate observations (Hydro-PE CHESS), 1961-2019

description: This dataset contains two gridded potential evapotranspiration variables for Great Britain from 1961-2019: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The variables were calculated from the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (1961-2019) [CHESS-met] gridded observed meteorological data at 1 km resolution.  The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded NetCDF files. There is one file for each variable, for each calendar month.
description: This dataset was derived from the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (1961-2019) [CHESS-met] at 1 km resolution over the United Kingdom for the years 1961-2019. The daily total potential evapotranspiration (PET; kg m-2 d-1) was calculated using the Penman-Monteith equation parameterised for a well-watered grass surface. The daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1), was calculated as PET then a correction added for interception by a grass canopy on days with non-zero precipitation. 

The CHESS-met meteorological variables used were daily mean air temperature at 1.2 m (K), specific humidity at 1.2 m(kg kg-1), surface air pressure (Pa), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), monthly mean wind speed at 10 m (m s-1) and precipitation (kg m-2 s-1). A description of the methodology is available in the supporting documentation.
DOI: 10.5285/1cc5dcdb-e894-4973-a5b5-7a38a6cfc770
title: Activity, energy expenditure and mass data from common guillemots from the Isle of May during the 2016-2017 annual cycle

description: This dataset contains energy expenditure, sea surface temperature, foraging activity, day length, longitude, latitude, distance from the coastline and mass data from 17 common guillemots (Uria aalge) from the Isle of May during the 2016-2017 annual cycle. 
description: Data have been collected by Centre for Ecology and Hydrology (CEH) staff on the May National Nature Reserve, Scotland (5611’N, 0233’W) using standardised methods since 1987, and this work has continued to the present as part of the Isle of May Long-term Study (IMLOTS; https://www.ceh.ac.uk/our-science/projects/isle-may-long-term-study).

As part of the Isle of May Long-term Study, global location sensing (GLS) devices are regularly deployed and retrieved. From GLS data collected during the 2016-2017 annual cycle, we derived daily data on guillemot foraging activity (hours spent foraging), sea surface temperature values (SST; recorded by the bird-borne loggers), energy expenditure, location fixes and the number of daylight hours. Data on bird mass were obtained by weighing the birds with a Pesola spring balance at logger development and retrieval.

The full methodology is available in the Supporting Information document attached to this record.