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This data collection includes measurements of different PEDOT:PF6 fiber networks, including their impedance spectrum, transistor measurements, pictures of the networks and their reaction to acoustic/seismic excitation measured with an oscilloscope. The networks were grown in a free-standing liquid film using sulfolane as a solvent, TBAPF6 as a salt and EDOT as a monomer. Fibers were grown using AC electropolymerization and then excited using a custom-made infrasound generator.
Blood is the most encountered type of biological evidence in violent crimes and contains pertinent information to a forensic investigation. The false presumption that blood encountered at a crime scene is human may not be realised until after costly and sample-consuming tests are performed. To address the question of blood origin, the novel application of visible-near infrared hyperspectral imaging (HSI) is used for the detection and discrimination of human and animal bloodstains. The HSI system used is a portable, non-contact, non-destructive method for the determination of blood origin. A support vector machine (SVM) binary classifier was trained for the discrimination of bloodstains of human (n = 20) and five animal species: pig (n = 20), mouse (n = 16), rat (n = 5), rabbit (n = 5), and cow (n = 20). On an independent test set, the SVM model achieved accuracy, precision, sensitivity, and specificity values of 96, 97, 95, and 96%, respectively. Segmented images of bloodstains aged over a period of two months were produced, allowing for the clear visualisation of the discrimination of human and animal bloodstains. The inclusion of such a system in a forensic investigation workflow not only removes ambiguity surrounding blood origin, but can potentially be used in tandem with HSI bloodstain age determination methods for rapid on-scene forensic analysis.
This data collection contains results of residual stress measurements carried out on cyclically loaded bending specimens and experimental characterization data.