cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/9c7fe956-0ae6-46b6-bca2-2be5778e46bd
title: Behavioural experiments in the laboratory with stickleback fish - Fish personality data

description: The data consist of eight datasets on stickleback fish personality data. Data are on catch order, mean time spent out of cover, proportion of time fish spent out of cover, sex differences for the catch order, sex differences for the catch order on two occasions and sex differences in the proportion of time spent out of cover. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were filmed and timed using a high definition camera. The work was carried out between March 2012 and February 2013 at The Structure and Motion Laboratory, Royal Veterinary College.The work was funded by a BBSRC studentship and NERC (grant NE/H016600/2 Does diversity deliver? How variation in individual knowledge and behavioural traits impact on the performance of animal groups) All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084). 
description: Tests of exploratory behaviour were undertaken in isolation in test tanks, and a Panasonic HDC-SD60 high-definition video camera, mounted directly above the tanks were used to record fish movements. Times were recorded of time taken for fish to locate reward. Each fish net-caught from their aquarium was assigned a catch number. 1 was allocated to the fish that was caught first, 2 allocated to the fish that was caught second and so on and tests of exploratory behaviour.
DOI: 10.5285/86b3ca4a-143f-4a96-b6cd-38544e118f81
title: Monthly ammonia measurements from passive samplers using ALPHA® PTFE1020 membrane at four UK Eutrophying and Acidifying Pollutants (UKEAP) network sites, 2022

description: This dataset consists of monthly ammonia (NH3) measurements from ALPHA® (Adapted Low-cost Passive High Absorption) samplers co-located with UKEAP DELTA sites from January 2022 to December 2022. The UK Eutrophying and Acidifying Atmospheric Pollutants (UKEAP) network measures air pollutants at rural sites across the UK. Originally the purpose of these measurements was for validation of a new PTFE membrane for ALPHA® samplers prepared at UKCEH Edinburgh research laboratory.
description: Local site operator duties are completed by UK Centre for Ecology and Hydrology (UKCEH) staff, Agri-Food and Biosciences Institute (AFBI) staff at Hillsborough and Ricardo AEA staff at Chilbolton. Analysis is completed by the UKCEH Edinburgh. Data analysis and preparation is conducted using the AAGA (Ammonia Acids Gases and Aerosols) data processing tool. AAGA is a database designed to introduce more reliable, reproductible and traceable way of handling data from ALPHA® samplers.
DOI: 10.5285/b330d395-68f2-47f1-8d59-3291dc02923b
title: UK Environmental Change Network (ECN) soil solution chemistry data: 1992-2015

description: Soil solution data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include 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 by suction samplers at all of ECN's terrestrial sites using a standard protocol. They represent continuous fortnightly records from 1992 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 by suction samplers 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/c5e72461-c61f-4800-8bbf-95c85f74c416
title: High temporal resolution meteorology and soil physics observations from INCOMPASS land surface stations in India, 2016 to 2018

description: The dataset contains time series observations of meteorological and soil physics variables logged at one minute time resolution at three Land Surface Stations in India. The three INCOMPASS Land Surface Stations were located at: (1) agricultural land in Southern Karnataka (Berambadi); (2) the University of Agricultural Sciences in Dharwad in northern Karnataka; and (3) a semi-natural grassland at the Indian Institute of Technology in Kanpur (IITK), Uttar Pradesh. 

Observations were collected under the Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) Project between January 2016 and January 2019.
description: Meteorological and soil physics observations were collected using identical instrumentation at all three INCOMPASS Land Surface Stations. Meteorological observations include: the net radiation and its incoming and outgoing short- and long-wave components, air temperature, barometric pressure, relative humidity, wind speed and direction, and rainfall. Soil physics observations include: Soil heat fluxes, soil temperatures and soil volumetric water content. Quality control (QC) of meteorological variables included range checking and visual checks for spikes, dropouts and other clearly erroneous values. 

Further details are available in the supporting documentation.
DOI: 10.5285/794c609b-da62-4a42-a4c1-267219865bb1
title: Plynlimon research catchment hydrochemistry (2011-2016)

description: This dataset includes rainfall, cloud and stream hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from June 2011 to March 2016. Sampling was weekly from June 2011 to December 2011 and then  fortnightly from January 2012. Data for the whole period are presented for major anions and cations, pH, conductivity, alkalinity and in-situ measurements such as water temperature and stream flow. From June 2011 to March 2013 data are also presented for a range of metals. Data are presented for the whole period for six stream locations and one rainfall site. Data are also for presented for two streams, Nant Iago and Tanllwyth and one cloud site for the period from June 2011 to July 2012. 

Stream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Cloud samples were collected using a Centre of Ecology and Hydrology (CEH) Edinburgh pattern lidded harp type passive collector. This data presented  follow on from the hydrochemical data presented in the dataset Plynlimon research catchment hydrochemistry (44095e17-43b0-45d4-a781-aab4f72da025)
Fieldwork was carried out by CEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified CEH chemists at laboratories at CEH Lancaster and CEH Bangor.

The Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research. Monitoring is funded by the Centre for Ecology & Hydrology, and is ongoing since 1968.
description: Sampling was carried out weekly from June 2011 to December 2011 and fortnightly from January 2012. Stream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Cloud samples were collected using a Centre of Ecology and Hydrology (CEH) Edinburgh pattern lidded harp type passive collector. 

Upon return to the CEH Bangor laboratories the cation samples were acidified with concentrated Nitric Acid (to 1 percent) to preserve the samples. Samples for anion and cation sample were then stored at 4 degrees Celsius until they could be transported to the Centralised Analytical Chemistry Group in CEH Lancaster for analysis. Results were reported back to CEH Bangor as Excel spreadsheets. These data were then imported into an Access database.

pH, conductivity and alkalinity analysis was carried out the CEH Bangor laboratories. Results were reported back as Excel spreadsheets. Field measurements and flow calculations were also added to these Excel spreadsheets. These data were then imported into the same Access database as the CEH Lancaster results.
For ingestion into the Environmental Information data was extracted from the Access database and converted into a comma separated value file.
DOI: 10.5285/8b58c86b-0c2a-4d48-b25a-7a0141859004
title: UK Environmental Change Network (ECN) stream water discharge data: 1993-2015

description: Stream water discharge data from the UK Environmental Change Network (ECN) terrestrial sites. The data (stage and discharge) are collected by loggers at ECN's terrestrial sites (where a stream is present) using a standard protocol. They represent continuous 15-minute records from 1993 to 2015. 

The sites at which these data are collected are: Glensaugh, Moor House - Upper Teesdale, Sourhope, Wytham and Y Wyddfa (Snowdon).

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 by loggers at all of ECN's terrestrial sites (where flowing water is present) using a standard protocol. They represent continuous 15 minute records from 1992 to 2015. 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/b6f1e1a4-1f3b-4b74-99e5-651ade10f32c
title: Nutrient chemistry of Arctic Lakes in Greenland, Norway, Russia and Alaska 

description: This dataset contains nutrient chemistry data from 14 lakes in the Arctic region: 4 in Russia and Alaska and 3 in Greenland and Norway. Nutrient chemistry was measured on one occasion only at each lake, with date of collection ranging from 01/04/2011 to 14/03/2014. The following nutrients were measured: total phosphorus, soluble reactive phosphorus, total nitrogen, nitrate, ammonium, chlorophyll a, silicate, sodium, magnesium, potassium, calcium, sulphate, chloride and dissolved organic carbon. All nutrients were measured using standardised methods and the same methods were used between lake samples. The data were collected as part of the Lakes and the Arctic Carbon Cycle (LAC) project, which is funded under NERC's Arctic Research Programme. 
description: As data were generated, checks were made to ensure linear standard curves and raw spectrophotometric readings fit within the absorbance on the standard curve. Where necessary, standard curves were adjusted accordingly. Checks were made in cases where the absorbance was below detection levels of the spectrophotometer. Calculations from quadratic equations were checked for errors before data was accepted. Water chemistry values were checked against data from previous water samples taken at the same locations.
DOI: 10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251
title: Post Chernobyl surveys of radiocaesium in soil, vegetation, wildlife and fungi in Great Britain

description: Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology (ITE). National level vegetation surveys were conducted in May 1986, October 1986 and Spring 1987. More intensive surveys of vegetation (grass and heather) and wildlife (grouse, fox, etc.) in restricted areas were carried out in Cumbria, Wales and North Yorkshire in 1989, 1990, 1991 and 1993. Surveys of fungi were carried out between 1994 and 1997. The data are suitable for interpolation to create spatially variable surfaces suitable for input into models.
description: Vegetation was clipped from 1 metre squared quadrats to a height of 1 centimetre above ground level. Samples were dried at 80 degrees centigrade, weighed, ground and counted in plastic containers (130 millilitre) on a NaI(T1) detector to determine the radiocaesium activity. The most active samples were recounted on a high resolution germanium detector. Soil type was noted at each site (Soil survey 1983). Soil samples were allocated to a series of textural categories (Clay (particles of less than 2 m in diameter); Silt (particles of 2-40 micron diameter); Sand (particles of 50 micron -2millimetre diameter); Organic (humified plant material); Loam (significant quantities of material from 3 or more categories). Soil pH was determined using an antimony electrode pH meter. Animal samples consisted of necks and rumen contents from 70 red deer (Cervus elaphus), whole bodies of three species of lagomorphs (25 rabbits (Oryctolagus cuniculus) and 2 black hares (Lepus capensis), two species of grouse (13 red grouse (Lagopus lagopus), 4 black game (Tetrao tetrix), and 22 foxes (Vulpes vulpes) totalling 141 flesh and 94 gut samples. Samples of flesh were removed from the neck of the deer, from the legs and back of the hares, rabbits and foxes, and from the breast muscle of the grouse. These were weighed fresh and placed in standard counting containers which were kept in a deep freeze until required for analysis. Each sample was thawed for 24 hours prior to counting. Samples were analysed by high resolution gamma spectrometry using either hyperpure germanium or germanium lithium detectors with relative efficiencies of 20 to 25 percent. Counting times varied between 25k to 80k seconds. Detectors were calibrated. The column headings for Easting, Northing and Sampling_date' in dataset 4 are labelled incorrectly. The correct order should be column C Sampling_date, column D Easting, column E Northing.
DOI: 10.5285/fe579fbf-e371-4320-8875-a8af8736f3e5
title: Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Bassenthwaite Lake, 2014 to 2018

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 by the UK Centre for Ecology & Hydrology (UKCEH) at Bassenthwaite Lake in Cumbria, England. 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. 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. All data are from January 2014 until the end of 2018. Unfortunately, due to funding shortages, the long-term monitoring of Bassenthwaite Lake ended early 2019.

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
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. Water samples are based on a sample integrated from 0 to 5 m. Samples were analysed in UKCEH laboratories.
DOI: 10.5285/90457ba1-f291-4158-82dc-425d7cbb1ac5
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil organic matter content from three soil depths on saltmarsh sites at Morecambe Bay and Essex

description: The dataset comprises the field soil organic matter content as a percentage at three depth zones (roughly 0-10 cm, 10-20 cm and 20-30 cm), measured from bulk density soil samples taken within each 1metre x 1metre quadrat. Prior to measurement of bulk density all soil samples were dried at 105°C for 72 hours. A sub-sample was then taken and dried at 375°C for 16 hours to determine the percentage organic matter of dry soil. Sampling was conducted at six salt marsh sites at four spatial scales: 1 metre (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 metres, 10-100 metres and 100-1000 metres. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. 

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: Field soil organic matter was measured from bulk density samples taken at roughly 0-10cm, 10-20 cm and 20-30 cm depth zones with a 3.1 cm height, and 7.5 cm diameter bulk density ring for each quadrat. Prior to measurement of bulk density all soil samples were dried at 105°C for 72 hours. A sub-sample was then taken and dried at 375°C for 16 hours to determine the percentage organic matter of dry soil. Results were recorded onto field sheets. These data were transferred into an Excel file and calculations carried out. Results were exported as comma separated value files for ingestion into the EIDC. The location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 metres (m) to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).
DOI: 10.5285/a114e2de-bbed-45d2-9af1-372edb4b5025
title: Saltmarsh carbon and greenhouse gas flux data for northern temperate Europe, collated from literature

description: The UK saltmarsh database of carbon and GHG (greenhouse gas) fluxes was compiled from a systematic literature review conducted using the Web of Science on 11/12/2023 and searches on UK Government organisations and non-government agency websites on 29/02/2024.  A total of 8,974 papers were reviewed for carbon accumulation and stocks, GHG fluxes (CO2, CH4 and N2O) and other relevant environment data in natural and restored (i.e. rewetted by managed coastal realignment) saltmarsh habitats applicable to the UK, for incorporation into the database for the potential use in GHG inventory reporting and carbon accounting. 
description: The web of science literature results were screened for relevant data in a multi-stage process, that removed irrelevant papers by screening titles, abstracts and then core text. Review or modelling papers were not included unless they contained field data. We constrained the results to studies relevant to UK saltmarsh habitat and the temperate/northern European climatic zone. Data were extracted from the retained articles using a rigorous assessment of the methodology and assumptions given in the paper. QA/QC of the data was conducted by two reviewers. Detailed methods are given in the accompanying project report.