Optimising risk-based surveillance for early detection of invasive plant pathogens.

Mastin, Alexander; Parnell, Stephen Robert; Cunniffe, Nik; Bosch, Frank van den; Gottwald, Timothy

doi:10.17866/rd.salford.12759929.v1

Welcome to USIR

Welcome to the University of Salford repository (USIR), an Open Access showcase for the published research output of the university. Our collection contains a wide range of research across multiple formats and subject areas.

Whenever possible, outputs will be made openly available here in full digital format for download, with many under a Creative Commons license. See our Policies for further information https://salford-repository.worktribe.com/policies.

Latest Additions

Legacy Systems Interview Guide (2020)
Data

Interview guide used to investigate practitioners' perceptions of legacy and heritage software systems

Readme - Dataset description.pdf (2020)
Data

This dataset accompanies the paper by Chadwell at el. ‘Evaluating reachable workspace and user control over prehensor aperture for a body-powered prosthesis’. DOI: 10.1109/TNSRE.2020.3010625

The data are recorded from 10 anatomically intact partic... Read More about Readme - Dataset description.pdf.

MarkerPositions.mat (2020)
Data

This dataset accompanies the paper by Chadwell at el. ‘Evaluating reachable workspace and user control over prehensor aperture for a body-powered prosthesis’. DOI: 10.1109/TNSRE.2020.3010625

The data are recorded from 10 anatomically intact partic... Read More about MarkerPositions.mat.

GoniometerData.mat (2020)
Data

This dataset accompanies the paper by Chadwell at el. ‘Evaluating reachable workspace and user control over prehensor aperture for a body-powered prosthesis’. DOI: 10.1109/TNSRE.2020.3010625

The data are recorded from 10 anatomically intact partic... Read More about GoniometerData.mat.

Optimising risk-based surveillance for early detection of invasive plant pathogens. (2020)
Data

These are the datasets underlying the figures in the scientific paper "Optimising risk-based surveillance for early detection of invasive plant pathogens", by Mastin et al. Details on all of the datasets are included in the readme.txt file.