Utilising Provenance to Enhance Social Computation

Postprint

Interrogating Capabilities of IoT Devices

This research is supported by the UK Research Councils’ Digital Economy IT as a Utility Network+ (EP/K003569/1) and the dot.rural Digital Economy Hub (EP/G066051/1).

Interrogating Capabilities of IoT Devices

This research is supported by the UK Research Councils’ Digital Economy IT as a Utility Network+ (EP/K003569/1) and the dot.rural Digital Economy Hub (EP/G066051/1).

SC-PROV: A Provenance Vocabulary for Social Computation

The research described here is supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1.

Synergies and trade-offs between renewable energy expansion and biodiversity conservation - a cross-national multifactor analysis

Peer reviewed

High-resolution spatial modelling of greenhouse gas emissions from land-use change to energy crops in the United Kingdom

Funded by Energy Technologies Institute EPSRC-Supergen. Grant Number: EP/M013200/1

A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints

Postprint

Semantic Support for Computational Land-Use Modelling

Postprint

What Does this Device Do?

Postprint

Trusted Tiny Things : Making Devices in Smart Cities More Transparent

Postprint

Providing Older Adults With Real-time Passenger Information via SMS

Peer reviewed

GHG mitigation of agricultural peatlands requires coherent policies

Acknowledgements The authors thank the Global Research Alliance on Agricultural Greenhouse Gases for facilitating this work. The contribution of P.S. contributed to the EU-funded GHG Europe project.

Bridging the gap between energy and the environment

Acknowledgements This work was supported by the UK Energy Research Centre Phase 2, under its Energy and Environment theme Grant Number NE/J005924/1 and NE/G007748/1. Open Access funded by Natural Environment Research Council

The Contribution of Agriculture, Forestry and other Land Use activities to Global Warming, 1990-2012

Date of Acceptance: 16/12/2014 Acknowledgements: This work was carried out with generous funding by the Governments of Germany (GCP/GLO/286/GER) and Norway (GCP/GLO/325/NOR) to the ‘Monitoring and Assessment of GHG Emissions and Mitigation Potential from Agriculture’ Project of the FAO Climate, Energy and Tenure Division. P. Smith is a Royal Society Wolfson Merit Award holder, and his input contributes to the University of Aberdeen Environment and Food Security Theme and to Scotland's ClimateXChange. J. House was funded by a Leverhulme Research Fellowship. The FAO Statistics Division maintains the FAOSTAT Emissions database with regular program funds allocated through Strategic Objective 6. © 2015 John Wiley & Sons Ltd.