The dataset details larger mobile fish and macrofaunal abundance across six intertidal sites in the winter and summer of 2013, sampled using fyke nets. The data provide a quantitative measure of larger mobile invertebrate and fish species present in fyke nets caught over two executive tidal cycles at three sites in Essex, South East England and three more sites in Morecambe Bay, North West England. At each site, 22 sampling quadrats were placed on the mud flat covering 4 spatial scales. At each of these, unbaited fyke nets were deployed perpendicular to the shore over two tidal cycles. Upon removal, the species were identified to species level and individuals counted. For each species wet weight (g) was calculated. 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. Full details about this dataset can be found at https://doi.org/10.5285/778ac3e5-a796-46a0-8390-0b6527598d8b

This dataset consists of shapefile outlines of winter roads and ice roads in Canada, verified for the 2022-2023 winter road season. It focuses on the public winter roads leading to remote First Nations communities which have no permanent land access. The line data also includes private winter roads, community-built winter roads where information is available, and feeder roads connecting to the permanent road network. First Nations communities connected solely by winter roads are included as point locations. Their local roads were likewise verified, updated, or newly digitised if not included in Canada's National Road Network (NRN) data. Features were traced by hand and information was extracted from Canada''s NRN open datasets and then modified using Esri Imagery Basemap, Planet Labs and provincial, municipal and federal information. This dataset aims to provide a temporally and spatially consistent record of varying provincial datasets to support respective infrastructure departments and environmental research of surface and climatic conditions surrounding winter roads. The dataset was produced and funded through a NERC QUADRAT DTP studentship (NE/S007377/1).

PROJECT DETAILS ONLY - NO DATA. The main project of this study has been the analysis of all the Cretaceous deposits exposed in East Antrim. This has been attempted with a view to determining the stratigraphical sequence of both the rock units and the geological events.

Elemental analysis of 80 soil samples taken in the Ningbo Watershed, in the Zhangxi catchment, Eastern China. Variables measured include As, Cd, Cr, Cu, Ni, P, Pb, and lead isotope ratios along with concentrations of Zn, Ca and K. Data was collected in March 2016 and analysed at Queens Belfast University. The data was collected and analysed as part of a NERC NSFC funded multi project research programme UK- China Critical Zone Observation Programme. Full details about this dataset can be found at https://doi.org/10.5285/9c2e8b85-48ab-48c9-b69d-dd676a5d086f

This dataset contains biologging data of captive red deer Cervus elaphus, to study sleep behaviour. This includes acceleration (m/s2), magnetometer (gauss), and temperature (degrees Celsius) measurements, collected using collar-mounted accelerometer and magnetometer recorders at 20Hz. This data was collected from 18 adult individuals; 13 male, 5 female, in 2023 over three deployments. Deployment 1 (males) 13/06/23 – 1/8/23; deployment 2 (males) 04/09/23 – 08/11/23; deployment 3 (females) 13/11/23 – 21/11/23. Deer were housed at the VUZV facility, Uhrineves, Prague, Czech Republic. This dataset was funded by NERC, as part of project “NE/X010368/1: Sleep in the landscape of fear” and was measured to aid in the creation of a classification model to detect sleep in red deer from collar accelerometers, as well as to test arousal thresholds in sleeping deer. Full details about this dataset can be found at https://doi.org/10.5285/e7fdf789-e663-4422-92c2-ea8019b3cc26

This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. Net ecosystem carbon dioxide exchange, photosynthesis and respiration data were measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data were measured using gas chromatography; nitrate and ammonium from soil samples extracted with potassium chloride; carbon and nitrogen from soils extracted with water; and carbon and nitrogen stocks measured through combustion analysis. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2016 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. Full details about this dataset can be found at https://doi.org/10.5285/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6

This database incorporates glacier, glacierised volcano and climate properties from multiple sources for all glaciers listed in the Randolph Glacier Inventory (RGI) v.6.0. The database is presented as a single CSV file and comprises: glacier locations and geometric properties (from the year ~2000); glacierised volcano locations and properties (from the year ~2018); mean annual air temperatures and total annual precipitation for glaciers globally for the periods 1991-2020 and 2017-2018; and measurements of median velocity and thickness for glaciers globally for the period 2017-2018. The database was analysed using descriptive and inferential statistics by researchers in the Department of Natural Science at Manchester Metropolitan University to: (i) compare the properties of glaciers near active volcanos (i.e. within 5 km) and other glaciers (> 5 km from an active volcano) globally for the period 2017-2018; (ii) to investigate the extent of geometric, volcanic and climatic controls on glacier velocities, and; (iii) to investigate relationships between glacierised volcano properties and the velocities of glaciers near volcanoes. This research was funded by a Leverhulme Trust Research Project Grant: RPG-2019-093.

This dataset contains total green biomass, palatable green biomass, sheep stocking rate, Pinus contorta tree density, P. contorta basal area and percentage canopy cover in sites across northwest Patagonia, during the summer of 2020. We measured total green biomass in the peak production (kg /hectare/year), as a metric for aboveground annual productivity, in five different sites and for a wide range of P. contorta abundance. We also measured palatable green biomass (kg/hectare/year), considering only those plant species foraged by sheep. We calculated the sheep stocking rate that can sustainably support the grasslands of our study based on the feeding requirement of an Ovine Livestock Unit (OLU). The OLU represents a Merino wether (castrated male sheep) with an average live weight of 40 kg that consume 365 kg of dry forage in a year in Patagonia grasslands. We counted the number of P. contorta individuals to calculate density (trees/ha) and recorded their diameter at ground level to calculate basal area (m2/ha) (an alternative measure of P. contorta abundance). Additionally, on each subplot we took a hemispheric picture to estimate the canopy cover (%) of P. contorta (a third measure of P. contorta abundance). Full details about this dataset can be found at https://doi.org/10.5285/066b0d36-d28a-422e-b29a-298c98b8a536