cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/814be4cf-0ff2-46dd-b296-c4d9b913b6e4
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil bulk density from three soil depths on salt marsh sites at Morecambe Bay and Essex

description: The dataset comprises the bulk density taken from bulk density rings (3.1 centimetre (cm) height, 7.5 cm diameter) within each 1metre (m) x 1m quadrat. Samples were taken vertically at three depths within each quadrat to roughly quantify the following zones: 0 -10 cm, 10 - 20 cm and 20 - 30 cm. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. 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: Samples were taken from bulk density rings, vertically at 3 depths (0 -10 centimetre (cm), 10 - 20 cm and 20 - 30 cm) within each 1metre (m) x 1m quadrat. Prior to measurement of bulk density all soil samples were dried at 105 degrees Celsius for 72 hours. 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 metre (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: 10.5285/83a2a25c-dbb7-4760-ae3d-21904f3dd278
title: Modelled recapture of ammonia by shelterbelt trees in the UK 

description: This dataset contains modelled ammonia recapture by shelterbelts downwind of an ammonia source. The runs were located in the UK with ten years of averaged meteorological data for the different seasons of the year. Several tree species and tree heights were also taken into consideration  and predictions of recapture were made for the year 5, 15, 25 and 50 after planting .

Two models were coupled to obtain this dataset; Open-source Field Operation And Manipulation (OpenFOAM) and MOdel of Dispersion and Deposition of Ammonia over the Short-range in two dimensions  (MODDAS-2D). 

This dataset was created by the Modelling Uncertainty for Decision Making on Ammonia mitigation with Trees in the landscape (MUDMAT) project funded by NERC.
description: This dataset is the output of two models; OpenFOAM (Open-source Field Operation And Manipulation) and MODDAS-2D (MOdel of Dispersion and Deposition of Ammonia over the Short-range in two dimensions). Python 2.7 code was used to couple the output of OpenFOAM to the input of MODDAS-2D.

The inputs are the Chess dataset (https://doi.org/10.5285/2ab15bf0-ad08-415c-ba64-831168be7293) for the meteorology, Forest Research  Decision Support Tool (DSS tool) (http://www.forestdss.org.uk/geoforestdss/) for tree species height and tree Leaf area index (LAI) reviewed by experts.

The input files were transformed with R code and the runs were made on the  CEDA LOTUS-JASMIN cluster in parallel (https://jasmin.ac.uk/). The outputs were then processed and added to a database with two tables, one for Northern Ireland and another for Great Britain. Each row of the files in this dataset is a model run.
DOI: 10.7910/dvn/upwzct
title: LPI

description: the data is about LPI, GDP, CO2 and Trade openness
DOI: 10.5285/406aee8f-3b85-4be6-ae7d-c92c8168a06f
title: Hourly water temperature of 16 experimental mesocosms and hourly air temperature from April to November 2023

description: This dataset contains hourly water temperature data and hourly air temperature data of an experimental mesocosm facility from 21st April to 7th November 2023. The sixteen mesocosms (1 m deep, 2 m diameter) were filled with water from Windermere. The water temperature was measured every five minutes and an hourly average was calculated. Air temperature was measured by a weather station within the mesocosm compound. The experiment aimed to investigate different N:P nutrient ratios and water temperature was measured as this is an important factor needed to understand the results. 
description: The water for the 16 mesocosms was collected from Windermere on 29th and 30th March 2023 and nutrients were added to some of the mesocosms throughout the experiment. Water temperature was measured every 5 minutes by platinum resistance thermometers (PRT) shaded by a plastic cover, sited around mid-depth, radially offset by 30 cm from the mesocosms’ side wall and logged by a Campbell Scientific Data Logger. The hourly average presented here is calculated from 5-minutely data over the following hour, e.g., the value for 1 p.m. is the average of the data between 1 and 1:55 p.m. All data are given in GMT (Greenwich Mean Time) and dates from 21st April to 7th November 2023. 

Whenever the difference between the hourly averaged two water temperature sensor data was less than 0.2 °C, the average between both temperatures was calculated. If the difference was larger than 0.2 °C, data were checked against the overall average of the temperature sensors recorded by each data logger. Whenever the difference was larger than 0.2 °C, one of the two temperature sensors had drifted either higher than the average or below the average temperature. In those cases, this sensor was ignored and only data from one temperature sensor was used during those occasions (see table in the supporting documentation).

Air temperature was measured at a weather station within the mesocosm compound (Vaisala weather transmitter WXT520) at around 2.7m height.
DOI: 10.5285/a6a024d9-180f-431c-9d7e-f83439c2de45
title: Monitoring data from small mammal trapping in forest habitats in Nicaragua, 2022-2023

description: This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Nicaragua between 2022 and 2023. The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement.
description: Animals were captured during standardized trapping surveys with Sherman traps and Tomahawk traps in systematic arrays. Trapping targeted small-medium sized rodents, carnivores and opossums. Captured animals were identified to species, marked individually, biometrics were recorded (ear size, hind foot and tail length), and tissue samples were collected, generally from the ear. The animals were then released alive. Trap and capture data are linked via a primary key field.
At each trap check, data from captured animals were recorded in the field on data sheets, and then later computerized by entering into spreadsheets. Data were checked against original field records for quality assurance and validation.
DOI: 10.5285/b29d8ab8-9aa7-4f63-a03d-4ed176c32bf3
title: Water chemistry of seven lakes in Belarus and Ukraine 2014 to 2016

description: Data comprise water chemistry measurements (major alkali and alkali-earth element water concentrations and trace element concentrations) recorded over two years at seven lakes in Belarus and Ukraine at distances from 1.5 to 225 km of the Chernobyl Nuclear Power Plant (CNPP). The lakes include Glubokoye, Yanovsky lakes and Cooling Pond (high (H) contaminated lakes), Svyatoye Lake (medium (M) contaminated lake) and Stoyacheye, Dvoriche and Gorova lakes (low (L) contaminated lakes).
description: After filtration on a 0.2 micrometre mesh size filter and acidification (2% v/v of HNO3 65% trace metal grade, Sigma), major alkali and alkali-earth element water concentrations (Na, Mg, S, K and Ca in mg/L, mean ± SD, n = 3 per lake) and trace elements concentrations (As, Sr, Cd, Cs, Pb and U in micro g/L, mean +/- SD, n = 3 per lake) were measured in the 7 lakes with quadrupole-based ICP-MS system (Model iCAPQ; Thermo Scientific) equipped with CCTED, ‘collision cell mode’ (7% Hydrogen in Helium) with kinetic energy discrimination (KED) to eliminate polyatomic interferences. Samples entered the ICP-QMS through an auto-sampler (Cetac ASX-520) via a nebuliser (Thermo-Fisher Scientific; 1mL min-1) and spray chamber. Internal standards were introduced to the sample stream via a separate line including Ge (50 micro g/L), Rh (20 micro g/L) and Ir (10 micro g/L) in 2% HNO3.  Two sets of external mulit-element calibration standards for major elements (0-30 mg/L) and trace elements (0-100 micrograms per litre) were prepared from Certiprep(TM) multi-element stock solutions.
After filtration on a 0.45 micrometre mesh size filter and preservation (1% v/v of ZnCl2 50% w/v), concentrations of inorganic macronutrients (NO3-, NO2- and PO43- in μg/L, mean +/- SD, n = 3 per lake) were determined using a QuAAtro segmented flow nutrient analyser with autosampler (SEAL Analytical, UK). Analysis was done according to standard procedures.
DOI: 10.5285/662b8cb3-afca-43c6-a6e8-e56fcf94626b
title: Substrate utilisation profiles for saprotrophic fungi and moisture content data from soil sampled in an upland grassland experiment at Sourhope, Scotland, 2001 [NERC Soil Biodiversity Programme]

description: This set of data comprises substrate utilisation profiles for saprotrophic fungi (using the commercially available BIOLOG plate method) and moisture content data from soils sampled from experimental plots at Sourhope, Scotland.  The data were collected in order to determine how the high species richness of decomposer (saprotrophic) fungi and their relative frequencies of occurrence influence the decomposition of organic matter.
Data were collected during a project funded under the NERC Soil Biodiversity Programme, established in 1999 and centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).
description: Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). 

Data were collected by scientists employed by the Centre for Ecology & Hydrology and the University London and were managed by the Centre for Ecology & Hydrology.
DOI: 10.5285/87cdc267-a8c7-4f59-83b4-1bceaae837ad
title: Phosphorus-33 uptake by seven grassland plant species from three contrasting soil phosphorus chemical forms

description: Data comprises of the uptake of the plant nutrient phosphorus (P) by seven common and often co-occurring herbaceous plants grown in limestone grassland soil in pots.  P uptake is from one of three different sources of P that were injected into the soil, with the P sources being labelled with radio-isotope 33P, such that uptake of this could be quantified by assessing the radioactivity of the plant tissue.  The plant species were grown in pots as monocultures, and as mixed communities containing all seven species.  The 33P labelled P sources that were injected into the soil were orthophosphate, DNA and calcium phosphate.  Assessment of the amount of 33P taken up was undertaken by harvesting and analysing plant shoots six days after the 33P source was injected into the soil.  The datasets contain biomass of the harvested plant material, its radioactivity as assessed by scintillation counting, and the calculated proportion of the 33P supplied that was taken up into plant shoots.

The data also contains % cover abundance values of the plant species from surveys undertaken at Wardlow Hay Cop, the limestone grassland from where the soil was sourced on which the plants were grown for the 33P addition study.
description: The work was undertaken in experimental greenhouses at the University of Sheffield, U.K.  Each combination of plant species monoculture and type of P source injected was replicated 7 times.  The plant cover survey data was taken in 2011, and consists of 30 quadrats, each 50cm x 50cm.  Wardlow Hay Cop from where the limestone grassland survey was taken is located at 53°15'41"N, 1°43'56"W.
DOI: 10.5285/56d4b055-c66b-42b9-8962-a47dfcf3b8b0
title: Survey data on wellbeing and nature connectedness before and after taking part in nature-based activities in 2020, UK

description: Surveys of wellbeing, nature connectedness and pro-nature conservation behaviour scores from adult human participants before and after taking part in nature-based activities, including citizen science, in 2020 are presented. Participants were recruited via a public campaign and were randomly allocated into groups: citizen science, noticing nature (three good things in nature activity), combined citizen science and three good things in nature, and a wait list control. They were invited to take part in activities up to five times in the following eight days. Online surveys of wellbeing and nature connectedness were undertaken at people’s sign up to the project and after the eight days of activities. Demographic characteristics and people’s engagement with the project and responses to the pathways to nature connectedness were recorded after the eight days of activities.

The research was carried out to investigate concern about the negative impacts of COVID-19 movement restrictions and social distancing on people's wellbeing and mental health.

Research was funded through NERC grant NE/V009656/1 - COVID 19 - Does nature-based citizen science enhance well-being and mitigate negative effects of social isolation?
description: Data for each survey were collected via an online survey tool (Qualtrics). Data from each survey were linked via anonymised codes unique to each person. Answers to open questions were subject to thematic analysis (identifying themes and coding responses), and were reviewed prior to publication, with personally identifiable redacted to ensure anonymity. UK location data was presented as postcode districts, e.g. “OX10”.

Data were transposed into an Excel spreadsheet and exported as a .csv file for deposit into the EIDC.
DOI: 10.5285/b31330cc-743c-431e-95cd-68b316efed0b
title: Braun-Blanquet percentage vegetation cover and indicator species data in Ankeniheny Zahamena forest corridor, Madagascar

description: Data comprise records of percent vegetation cover using a category known as the Braun-Blanquet scale from a survey of indicator vegetation species carried out in the Ankeniheny Zahamena forest corridor in Madagascar. In addition, scientific name, local name, family name and life form (fern, shrub,  herb, grass, vine or tree) of vegetation was recorded.

Data were collected as part of a project funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme under work package 4 P4GES project.
description: Full materials and methods available from Supporting Information (Manual_ 1_Classical_Survey)
The estimation of percent cover has been used in the land use determination process. It consists of the evaluation of relative surface coverage of one species in a determined surface.
The percent (%) cover is estimated for the indicator species within a circle of 5m radius (area 78.54 m2) in which the inventory of trees with diameter at breast height (1.3 metres) of 5 to 10cm has been conducted. For each site, % cover was determined with a local botanist. The team uses a visual guide to estimate the % cover. It is recorded by using an 8 category scale known as the Braun-Blanquet scale. 
Scale	Cover
0 	Not present 
T 	Trace amount< 1% 
1 	1-5% cover 
2 	5-25% cover 
3 	25-50% cover 
4 	50-75% cover 
5 	75-95% cover 
6 	>95% cover
DOI: 10.5285/b71f1244-3bc2-4b52-bf64-f3e479860e28
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) sedimentation and erosion monitoring over saltmarsh and mudflat habitats

description: The dataset details surface elevation and sedimentation measurements across five UK saltmarsh sites. Two of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area. Rod Sedimentation-Erosion Tables (rSETs) were installed at different distances from the vegetated margin. Three rSETs were deployed for each Essex site and four for the Morecambe sites. rSET benchmarks were installed with associated marker horizons to evaluate surface elevation changes and surface accretion respectively. 

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: At each site a number of rSET benchmarks were installed by driving stainless steel rods into the substrate to refusal and mounting rSET receivers on top of them. Feldspar marker horizons were deployed adjacent to the rSET benchmarks. Surface elevation was measured using an rSET instrument and a steel tape measure to the nearest millimetre. Cores were taken to find the depth of the marker horizons which was measured using vernier callipers to the nearest millimetre. Data were recorded manually with no subsequent transformation applied.
DOI: 10.5285/3458e0b9-5002-4ddb-bcb3-1c7fb08fb70b
title: Peat characteristic data from Blanket Peatland in the Flow Country, Caithness and Sutherland, 2018

description: The dataset contains peat core data from 7 sites in a 1km2 upland (RSPB Forsinard Knockfin Heights) and 7 sites in a 1km2 of lowland (Plantlife Munsary) blanket peatland within the Flow Country, Caithness and Sutherland. Data was obtained between October 2018 and January 2019. Also included is peat depth data from Knockfin Heights at 100m spacing and Teabag Index data to assess peat decomposition rates at 47 points.
description: All data were generated by the authors. As data was generated, checks were made to ensure accuracy (instrument calibration ) and precision (repeat measurements) were within accepted limits and if necessary repeated measurements if required.
DOI: 10.5285/d7164910-17cb-44cd-bccd-6a9c31b6ed70
title: Diet of common guillemot and razorbill at East Caithness, Buchan Ness to Collieston Coast and Isle of May in 2018

description: This dataset contains prey items of common guillemot Uria aalge and razorbill Alca torda observed during the 2018 breeding season at East Caithness Special Protection Area (SPA), Buchan Ness to Collieston Coast SPA and Isle of May National Nature Reserve, off the east coast of Scotland.  Diet of these two species has been studied on the Isle of May since the 1980s (Harris & Wanless 1985, 1986; Wilson et al 2004; Daunt et al. 2008; Thaxter et al 2013).  To our knowledge, only two previous studies of diet has been undertaken at Buchan Ness to Collieston Coast SPA (in 2006, 6km to the north of the site used in this study; Anderson et al. 2014; and in 2017, using a similar protocol as in 2018; Daunt et al. 2017), and one previous study of diet has been undertaken at East Caithness SPA (2017; Daunt et al. 2017).
description: Seabird studies on the Isle of May NNR were begun by Mike Harris (CEH) in 1973 as part of the Isle of May Long-Term Study (IMLOTS), which is a Key Site in the UK Joint Nature Conservation Committee’s (JNCC) national Seabird Monitoring Programme.  The methods for calculating diet are included in the Species Account in this document and have been consistent since all seabird monitoring was standardised from 1987.  The protocols are employed in the assessment of the diet of common guillemot and razorbill.

The basic approach to assessing common guillemot and razorbill diet is observing prey carried in the bills of breeding adults returning to the colony to feed the young or, in the case of common guillemot only, to display to other adults.  All fieldwork, sampling and data handling was carried out by experienced and trained staff to defined protocols agreed to meet the objectives of the work. All data were collected in the field in notebooks and field data sheets.  These were transcribed to spreadsheets after each check was made and files backed up on CEH servers. All notebooks and field sheets are archived at CEH Edinburgh. The databases used were all quality controlled at source.

The integrity of results, the quality of reports, the relationship to contracted deliverables and the punctuality of reporting are all subject to management vetting and tracking within CEH.