cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/f38beff1-993f-4785-8a97-1de21e3e19c0
title: Yield and physiology data of four African crops exposed to varying ozone concentrations, grown in solardomes, UK, 2017

description: Data are presented from an ozone exposure experiment performed on five African crops. The crops (Beans, cowpea, finger millet, pearl millet and wheat) were exposed to three different levels of ozone in the UK CEH Bangor solardomes. Wheat was grown at UK ambient temperature, whereas the solardomes were heated for the other crops to better mimic tropical conditions. The experiment ran from May 2017 to September 2017. The crop plants were grown from seed in pots in solardomes. The aim of the experiment was to investigate the impact of ozone exposure on the crop yield and plant health. The dataset comprises of manually collected data on plant physiology, biomass and yield. In addition the automatically logged data of ozone concentration and meteorological variables in the solardomes are presented. Plant physiology data is stomatal conductance of individual leaves, measured on an ad-hoc basis. The dataset includes the associated data measured by the equipment (relative humidity, leaf temperature, photosynthetically active radiation). Soil moisture of the pots was always measured at the same time, and chlorophyll content of the measured leaf was usually, but not always, determined at the same time. Yield was determined for each plant, in addition to yield-related metrics including mass per bean and 100 grain weight. For finger millet and pearl millet yield is expressed as weight of seed heads and number of seed heads, rather than explicitly as seed weight. The ozone and meteorological dataset is complete, but with some gap-filling for short periods when the computer was not logging data.

The work was carried out as part of the NERC funded SUNRISE project (NE/R000131/1).
description: Ozone and Meteorological data was automatically logged by PC, with QA to check that data was within appropriate range, outliers checked for plausibility, and gap-filling where necessary. Plant physiology data was collected on an ad-hoc basis from measurements, with QA to check that data was within appropriate range, with outliers checked for plausibility. Plant biomass and yield data was determined experimentally at the end of the experiment, with QA to check that the data was in appropriate range and outliers checked for plausibility.

Data were exported into Excel spreadsheets and the exported again as comma separated value (.csv files).
DOI: 10.5285/caf989a5-82d7-4db7-b6ff-c0475fdae07e
title: Snow Survey of Great Britain: transcribed data for Scotland, 1945 to 2007

description: This dataset comprises observations of snowline from the Snow Survey of Great Britain (SSGB) at 140 sites across Scotland . Daily observations were made between 1945 and 2007. Observations were made by a ground observer who looked out from a given location at 0900 GMT each day and noted the elevation at which snow cover was greater than 50%. 

The initial aim was to 'secure representative data relating to the occurrence of snow cover at different altitudes in the various upland districts over the period October to June'. 

The data were collated by the British Glaciological Society until 1954 and thereafter by the Met Office. It has been transcribed from paper records held in the Met Office archives in Edinburgh.
description: The SSGB is a voluntary observer collected dataset.  The SSGB observers looked out on the hills that surrounded their location and noted at what level snow was lying. Elevations were grouped into 150 m bands from 0 to 1200 m ASL or 500 feet increments earlier in the record, with most stations supplying metric returns by the early 1980s. The observers were asked (taken from January 1992 instructions) to record at 09:00 GMT or thereabouts when snow or sleet was falling at station level and if snow was lying at station level, with depth.  Finally they were asked to record when fog or cloud obscured observation.

Paper copy Scottish data, between Autumn 1945 and Summer 2007, are stored in the Met Office archives in Edinburgh. These paper copies were transcribed to an electronic format and comprise this dataset.

Some data are missing as not all stations operated in all years. 

Some data are also missing due to observers being away or weather obscuring the view.
DOI: 10.5285/29d6345f-9f53-4894-8f60-80843f49c017
title: Survey data of greenspace users' preference scores for planted urban meadows and demographic data, Bedford and Luton, UK, 2014

description: The data comprise outcomes from questionnaire surveys conducted with greenspace users on their perceptions of experimentally manipulated urban meadows (varying levels of diversity and vegetation height of sown wildflower meadows), and associated socio-economic data of respondents to the questionnaire surveys. The experimental meadows were located in Bedford and Luton. Data was collected by the data authors, and participants gave informed consent before completing the questionnaires. The work was initially completed under the Fragments, functions and flows NERC BESS project in 2014. The scaling of biodiversity and ecosystem services in urban ecosystems was funded by grant NE/J015369/1 from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. Subsequent analysis was carried out under the NERC grant ‘Location, Configuration, Distribution: the Role of Landscape Pattern and Diversity in Ecosystem Services’ (NE/K015508/1).
description: Data were collected under the Fragments, functions and flows NERC BESS project in 2014. Members of the public visiting the meadows were asked a series of questions which were recorded on a questionnaire. The responses were transposed into an Excel spreadsheet. Questionnaire responses were checked on data entry. Answers not matching the categorical options were excluded. Data were exported as a comma separated value file for deposit into the EIDC.
DOI: 10.5285/2bd9bd0e-2c52-4767-ae2e-9c70ba8c358d
title: Data for lead (Pb) in terrestrial wildlife and resultant taxonomic models

description: Data comprise concentration ratios for lead and 210Pb in terrestrial wildlife and plants, and residual maximum likelihood (REML) model values for taxons (order, family and genus). Pb was used as an example of the derivation and application of a REML model for terrestrial wildlife species. The model outputs consists of a mean value for each taxa on a common scale after REML adjustment (referred to as the ‘REML mean’) taking account of the random factor (i.e. site).  The REML mean value represents a relative scaling value. 

Funding for preparing this data set was provided by the TREE project (http://www.ceh.ac.uk/tree) funded by the NERC, the Environment Agency and Radioactive Waste Management Ltd. under the RATE programme.
description: REML fitting was performed using the IBM SPSS statistical package (version 24) using ‘Linear Mixed Model’ analysis within which REML fitting is a standard option. Because of the data requirements of the REML analyses, as described above, then different amounts of data were available for the runs at genus, family and order levels. The Akaike information criterion (AIC) was used as an estimator of the relative quality of statistical models (the lower the AIC the better the model). To check that including site as a random factor resulted in a better model, all runs were repeated with site removed (ensuring that an intercept was included for the fixed parameter (i.e. taxon)).
DOI: 10.5285/8e483692-3b65-41d2-a7fd-5a3cd589a71c
title: Digital elevation models and bathymetry data of Tsho Rolpa glacier lake, Nepal, 2019

description: 3D digital elevation models of Tsho Rolpa glacier lake, Nepal, generated from unmanned aerial vehicle (UAV) imagery, with a spatial resolution of 10 centimetres. It is combined with bathymetry data so that both the lakebed elevation (DTM) and the lake surface elevation (DSM) are obtained.
description: 448 images were captured from a fixed-wing UAV producing topographic maps of Tsho Rolpa lake. Boat-mounted ultra-sonic altimetry data were collected to measure the lake bed topography.
DOI: 10.5285/56561ed3-55d0-454c-a6b9-7e633ccf9647
title: Plant community data from burned peat soil on the Stalybridge estate (UK), October 2018

description: This dataset is a compilation of results obtained from vegetation surveys in the Stalybride estate moorlands (commonly known as the Saddleworth moors) following a wildfire in 2018. Ten plots were established in October 2018 at the post-fire site which were 10 m x 10 m in size. Five plots were identified  as suffering a less severe (shallow) burn. The other 5 plots were in areas where a more severe (deep) burn. In all plots the surface vegetation had been removed by the fire exposing the bare peat. 

The data file contains: (1) On-site post-fire vegetation data – species ID and coverage, and (2) species presence in the one-year post-fire seed bank.

The dataset is the result of research in the light of an NERC Urgency grant entitled 'RECOUP-Moor: Restoring Ecosystem CarbOn Uptake of Post-fire Moorland' (NE/S011943/1, led by Dr. Bjorn Robroek of the University of Southampton (now Radboud University Nijmegen, the Netherlands).
description: We performed a series of vegetation surveys in these plots to track the composition of the recovering vascular plant community. Vegetation surveys were performed using a 1 m x 1 m point quadrat with 1 cm intervals. We performed two surveys at random positions within each plot. The results of the two survey were then combined to give one overall community for each plot at each time of survey.
DOI: 10.5285/ac5ecc99-b1b9-443a-b0b1-5059b85bc30f
title: Distribution of Anopheles stephensi and other mosquito species in India, 2022

description: This dataset contains locations and species of mosquitoes collected during fieldwork in India in 2022. Mosquito adults and larvae were collected from 4 locations: Bangalore, Udaipur, Delhi and Mumbai. The focus was on collecting Anopheles mosquitoes, but other species were also collected. Anopheles mosquitoes transmit malaria, so changes in their distribution raises concern for the spread of this disease.
description: Mosquito adults and larvae were collected from 4 locations in India: Bangalore, Udaipur, Delhi and Mumbai. The fieldwork instrumentation used were dippers for larvae and aspirators for adult mosquitoes. Quality control/assessment was was provided by an experienced colleague who identified the mosquito species morphologically.
DOI: 10.5285/ce535cef-842e-4875-ad80-26760900cec0
title: Very high resolution derived land cover/use classifications for the Corridor Ankeniheny-Zahamena (CAZ), Madagascar

description: The products capture current land use/cover for four areas of interest in Corridor Ankeniheny Zahamena (CAZ) generated based on very high resolution imagery (SPOT 6). Field-based training and validation data were used and supervised classifications created using Random Forest classifier.
description: The study extent aims to capture the drivers of deforestation in the Corridor Ankeniheny-Zahamena (CAZ). Multiple variables were incorporated into the sampling design, including elevation, slope, bioclimate zone, length of dry season, soil type, deforestation history (by epoch and elevation), and access. 

Based on the above criteria, four Zones of Interest (ZOIs) were identified and modified in an iterative approach involving preliminary reconnaissance work, information on access provided by partners, and initial analyses of spatial data layers. 

Current land use/cover classifications were generated for each ZOI based on very high resolution imagery from SPOT 6. Field data collected by Work Package (WP) 2 and 4--which are impacts on hydrological benefits of alternative Payments for Ecosystem Services (PES) approaches and impacts on carbon storage/sequestration of alternative PES approaches--were used as training data. Supervised classifications were created using Random Forest classifier.
DOI: 10.5285/07b1105a-4a14-47e3-b491-9af59be90aff
title: Time-activity budgets and energetics of common guillemot, razorbill, Atlantic puffin, and black-legged kittiwake

description: This dataset reviews key behavioural and physiological traits of four species of seabirds: Common guillemot Uria aalge; Razorbill Alca torda; Atlantic puffin Fratercula arctica; and Black-legged kittiwake Rissa tridactyla. These data describe the daily time allocation to and energetic costs of core activities and other energetically important processes of seabirds during chick-rearing—an energetically demanding period with important implications for population demography. The purpose of this dataset is to collate and standardise important energetic and demographic parameters to underpin energetic, behavioural and demographic modelling analyses for key seabird species. Data primarily correspond to measurements of seabirds breeding in the UK & British Isles.
description: A combination of data sourced directly, converted, or derived from existing primary literature, and long-term study data. The provenance of the data for each parameter per species is described in full in the supporting documentation, section Parameter calculations and sources.
DOI: 10.5285/0c3567a8-3700-4d52-a21f-de1bd709141a
title: Distribution of individual ash trees in Great Britain

description: The dataset consists of a map of individual ash trees (Fraxinus excelsior) across Great Britain. The data is derived from Countryside Survey 2007 and includes individual trees in the landscape, clumps of trees and veteran trees. Trees were mapped in 569 1km sample squares across Britain, and this national estimate dataset was derived from the sample data using ITE Land Classes.
description: Data were collected as part of the Countryside Survey monitoring project in 2007. Data were collected from 591 1km sample squares and scaled up to national estimates using the ITE Land Classification. See supporting documentation for further information.
DOI: 10.5285/2858a0e9-9b20-4c2c-892c-4a99fe49e315
title: Hourly water temperature of 28 experimental mesocosms and air temperature from July to September 2022

description: The dataset comprises hourly water temperature data of an experimental mesocosm facility as well as air temperatures from beginning of July to end of September 2022. The experiment aimed to investigate the effect of different nutrient regimes on Taste and Odour issues. Mesocosms were filled with reservoir water and water temperature was measured by platinum resistance thermometers (PRT) shaded by a plastic cover, sited around mid-depth, radially offset by 30 cm from the mesocosm's side wall and logged by a Campbell Scientific Data Logger. Air temperature was measured at a weather station within the mesocosm compound (Vaisala weather transmitter WXT520) at around 2.7m height.
description: 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 is given in GMT (Greenwich Mean Time) and dates from 6th July to 30th September 2022. 

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 was 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).
DOI: 10.5285/e05b350f-3cf4-4f8d-aa3c-24d562ca756b
title: Atmospheric gas and vegetation survey data from Parsonage Down, UK, in 2014

description: This dataset contains greenhouse gas flux data and vegetation survey data from an experiment based at Parsonage Down, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. The greenhouse gas flux data comprises net ecosystem carbon dioxide exchange, photosynthesis and respiration data measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data measured using gas chromatography; and nitrate and ammonium from soil samples extracted with potassium chloride. The experiment investigated the effect of different plant groups on soil carbon stores and nutrient cycling, by using a mixture of hand weeding and herbicide spot spraying to create different plant communities on the species rich grassland at Parsonage Down. The resulting carbon and nutrient cycling rates were compared to the characteristics of the plant groups. The experiment ran from 2013 to 2015 and this dataset contains data from 2014 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide.
description: For greenhouse gas exchange flux, a time series correlation was calculated and low correlations removed (<70%). Outliers were also removed at the beginning and end of sample where appropriate. Calibrations at two levels were done for methane gas flux (at 14, and 33 ppm), carbon dioxide gas flux (at 500 and 1000 ppm) and nitrous oxide gas flux (at 200 and 370 ppm). Standardised protocols were followed in all cases, details of which can be found in the supporting documentation.
DOI: 10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952
title:  Land use maps under the trend, expansion, sustainability, and conservation scenarios in 2030 in the Luanhe River Basin, China by using the CLUMondo Model

description: Dataset contains the Land Use/Land Cover (LULC) map under four scenarios (Trend, Expansion, Sustainability, and Conservation) in 2030 in the Luanhe River Basin (LRB), China, with a resolution of 1km. The scenarios were based on different socio-economic development and environmental protection targets, local plans and policies, and the information from a stakeholders’ workshop, to explore land system evolution trajectories of the LRB and major challenges that the river basin may face in the future.

The map includes nine different land use classes: 1) Extensive cropland, 2) Medium intensive cropland, 3) Intensive cropland, 4) Forest, 5) Grassland with low livestock, 6) Grassland with high livestock, 7) Water, 8) Built-up area and 9) Unused land. The land system classification is based on three main classification factors: (1) land use and cover, (2) livestock, and (3) agricultural intensity.

The data was funded by UK Research and Innovation (UKRI) through the Natural Environment Research Council’s (NERC) Towards a Sustainable Earth (TaSE) programme, for the project "River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scales" (Grant no. NE/S012427/1) .
description: The map was developed based on three steps:
First, land systems of the Luanhe River Basin (LRB) in the years 2000 and 2015 were mapped by integrating different datasets related to human-environment attributes. Then, the relationship between the land systems and local explanatory factors was calculated for the initial year (2000). 
Second, the CLUMondo model was parameterised and calibrated based on the 2015 land systems map.
Finally, changes in the land systems from 2015 to 2030 were simulated under different scenarios, including alternative sets of demands for commodities and services and represented different pathways on managing LRB’s land resources.
DOI: 10.5285/19be1a45-c457-40af-a582-395257d7a3b0
title: Radiocarbon measurements on river wood deposits collected in August 2019, Mackenzie River, Canada

description: The data comprises of dimensions of large wood pieces and the isotope composition (radiocarbon, stable carbon isotopes) of cellulose extracted from the wood samples. Large Wood (LW) samples were collected from the Mackenzie River delta region, Northwest Territories, Canada, in August 2019 and were analysed at the National Environmental Isotope Facility, UK. The scientific aims were to help constrain the source and age of wood carried by this large river system draining to the Arctic Ocean.

description: 1) Large wood samples from 6 regions in the Mackenzie delta area (Aklavik, Inuvik, Coast, Mackenzie River, Arctic Red River, Peel River), with a range of different sites sampled in each region.
2) Samples of wood were collected from the outermost part of wood pieces.
3) Cellulose was extracted and the %C, stable carbon isotope composition (d13C, permil) and radiocarbon activity (Fraction Modern, F14C) were measured on the cellulose. Quality assurance on the geochemical measurements was via analytical standards and blank tests made during the sample analyses. 
4) Radiocarbon measurements were converted to estimates of age -  providing constraint on the age of the earliest growth rings - using OxCal 4.4 to provide a lower and upper bound age.
5) Wood age modelled using OxCal 4.4, reporting the 95% confidence range of lower and upper ages. For samples with F14C<1, IntCal20 was used. For samples with F14C>1, Bomb21NH1 calibration curve was used.
DOI: 10.5285/c63c543f-3e95-4c1c-8c69-12f942271813
title: Annual Forest Loss at 15m resolution in the Corridor Ankeniheny-Zahamena (CAZ), Madagascar, 2006-2014

description: The dataset delineates annual forest loss in the CAZ digitized from annual 15 metre resolution LANDSAT imagery. This dataset creates a baseline for possible long-term, near real-time monitoring of encroachment and illegal logging within the Ankeniheny-Zahamena Corridor (CAZ), Madagascar. This analysis includes a summary of suspected encroachment and illegal logging from June 2006 to December 2010 within the "protected area," which consists of zones such as priority for conservation, sustainable use, and controlled settlements. 
description: Landsat 7 SLC-off imagery at a resolution of 15 m was compared to Landsat 2005 imagery and the Change in Natural Forest Cover from 1990 to 2005 developed by the United States Agency for International Development (USAID), Conservation International and the Madagascar Ministry of Environment, Water, Forests and Tourism. The imagery was acquired from the U.S. Geological Survey (USGS) Global Visualization Viewer (Glovis), available at http://glovis.usgs.gov/.

ENVI 4.7 was used for processing and gap filling of the imagery. Visual interpretation based on shape, color, proximity to features and texture was used to digitize suspected forest encroachment using ArcGIS 9.3.1.

The data have not been validated; therefore some of the clearings are likely due to natural disturbances such as landslides, flooding, natural fires or tree falls.
DOI: 10.5285/1998da32-a978-41a4-8a66-81df1e625cca
title: Electrical resistivity tomography surveys from the Makutapora Basin, Tanzania, June-July 2019

description: This datasets contains Electrical Resistivity Tomography surveys taken in the Makutapora Basin, Central Tanzania, using an AGI SuperSting R8 (STING) resistivity meter. Survey geometry, parameters and coordinates are also included.
description: The data were generated using .stg outputs from the STING meter and converted to .dat files using a bespoke Python code while also removing anomalous values.