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Simulated streamflow, demands and aquifer levels in the Narmada Basin, India, 1970-2099 using the Global Water Availability Assessment Model (GWAVA)

The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock and irrigation across the Narmada Basin, India. The data were...

Plant species cover and vegetation damage from burnt and unburnt areas of the Flow Country, Scotland, autumn 2019, following wildfires in May 2019 and nearby historic wildfire sites from the years 1997, 2000 and 2011

Plot-scale percent cover of all plant species recorded between October and December 2019 in 360 1 x 1 m quadrats within two burnt areas of the 2019 Flow Country Wildfire and nearby unburnt control...

Ammonia concentrations from high-elevation Himalayan forests and a Sri Lankan tropical forest, 2022-2024

The dataset contains field measurements of atmospheric ammonia under forest canopies in the Himalayas in India, Pakistan, Nepal and Bhutan and in a tropical forest in Sri Lanka between 2022 and...

QICS Data: Seismic data from Survey 2014/8 in Ardmucknish Bay (29/Sep/2014 to 03/Oct/2014)

This dataset contains data from a marine geophysical survey which took place on 1st October 2014 in the area of Ardmucknish Bay on board the RV White Ribbon. The survey was carried out by the...

Sampling Survey 2014/5_MINIMOUND Belgica Cruise 2014/16: Bay of Biscay (13/Jun/2014 to 23/Jun/2014)

This marine sampling survey 2014/5_MINIMOUND Belgica 2014/16, took place from 13/6/2014 to 23/6/2014 in the Bay of Biscay aboard Research Vessel Belgica. The survey was carried out by the British...

Sampling Survey 2015/3_Minimound 2015/15 Belgica: Bay of Biscay (29/May/2015 to 07/Jun/2015)

This marine sampling survey 2015/3_MINIMOUND Belgica 2015/15, took place from 29/5/2015 to 7/6/2015 in the Bay of Biscay aboard Research Vessel Belgica. The survey was carried out by the British...

Macroeconomic scenarios for London's economy post COVID-19

The main aim of this work is to develop a set of high level macro economic scenarios for the medium-term (to the end of 2022) and for the long-term (to 2030) in order to inform the development of...

Better Environment, Better Health - Guides for London Boroughs

Improving the local environment can help improve health and wellbeing. The GLA have produced a bespoke guide for each London borough highlighting how positive changes to the environment help...

Variability in the El Nino-Southern Oscillation through a Glacial-Interglacial Cycle

PROJECT DETAILS ONLY - NO DATA. The El Nino-Southern Oscillation (ENSO) is the most potent source of interannual climate variability. Uncertainty surrounding the impact of greenhouse warming on...

European Monitoring and Evaluation Program Model for the UK (EMEP4UK) annual air pollutant concentrations from domestic solid fuel burning in Scotland, 2023

This dataset provides modelled annual average near-ground atmospheric composition for Scotland for the key air pollutants nitrogen dioxide, total nitrogen oxides, sulphur dioxide, and fine...

Household interim projections, 1991-2021 (1000s), England, District, Total

These figures replace the 2008-based household projections released in November 2010. The household projections are produced by applying projected household representative rates to the population...

FGS Agroforestry

Scotland’s woodlands and forests are a vital national resource and play an important role in rural development and sustainable land use. As well as helping to reduce the impacts of climate change...

Benthic infaunal abundance and biomass from Belfast Lough dredge disposal monitoring operations 2017 and 2018

This dataset contains information on benthic infaunal abundance and biomass from sediment grabs and video footage from off the Copeland Islands in Belfast Lough in late 2017 and early 2018 on the...

Benthic infaunal abundance and biomass from Belfast Lough dredge disposal monitoring operations 2017 and 2018

This dataset contains information on benthic infaunal abundance and biomass from sediment grabs and video footage from off the Copeland Islands in Belfast Lough in late 2017 and early 2018 on the...

Procurement Plan and Pipeline (2026-2028)

Leicester City Council's procurement plan seeks to capture contracts that are anticipated to be procured within the 2026-2028 period. The plan includes replacement of existing contracts, service...

Tree sapling sampling in a secondary subtropical forest invaded by Ligustrum lucidum subject to experimental management, Tucumán, Argentina, 2021-2023

The following dataset contains information on saplings of woody plant species in invaded subtropical mountain forests (Yungas) over three years. The forests were located in the Horco Molle...

Survey responses from farmers on strengthening agricultural drought resilience in Thailand, 2020

This dataset contains the results of a farmers’ survey in the Ping Catchment in Thailand. The aim of this survey was to identify the specific socioeconomic impacts that historical droughts in the...

Soil microbial communities, soil, environmental and forest structural properties across old-growth forest and naturally regenerating or actively restored selectively logged tropical forest in Sabah, Borneo, March 2018 v2

This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has...

Functional traits of the tallest tropical tree species in the Tumucumaque Mountains National Park, Brazil, 2024

[This dataset is embargoed until September 30, 2027]. This dataset comprises 14 traits related to plant hydraulic function collected on 16 Dinizia Excelsa trees ranging from 19.7-74 m tall in the...

Behavioural responses of moths to different lighting environments, Penryn, Cornwall, UK, March-October 2024

This dataset contains the behavioural responses of moths to different lighting environments around the University of Exeter's Penryn campus, in Penryn, Cornwall, UK. The fieldwork experiments were...