HardwareX

Accelerometer, gyrometer, magnetometer from 360FLY camera corresponding to Figure 6.

X/Y Data Traces for the data reported in the open-source PCB manuscript

The voltage response of the KATARA amplifier circuit when de-energizing a Pneumadyne S10MM-31-24-2 solenoid valve.

Tests of the electrical response for circuits 56-69 before the stress test are in the "Before" folder. Their electrical response after the stress test are in the "After" Folder. The R script produces Figure 10 when it runs.

These are the design files for Controller for microfluidic large-scale integration.

Supplemental file list “A time-sorting pitfall trap and temperature datalogger for the sampling of surface-active arthropods.” Parts List Epitfall_partsList.xslx – spreadsheet of parts needed for construction, prices, and vendors CAD Epitfall_sampleWheel2d.dwg – 2D CAD file of sampling wheel Epitfall_sampleWheel2d.pdf - PDF version of 2D CAD file of sampling wheel Epitfall_sampleWheel3d.dwg - 3D CAD file of sampling wheel Epitfall_sampleWheel3d.stl – File for 3D printing of sampling wheel Example Data TRAP2.TXT – example data created by pitfall trap TRAP5.TXT – example data created by pitfall trap community_matrix_EMPTY.csv – empty matrix with rows of sampled time intervals with unique sample ID codes. This file is generated by “Epitfall_dataPull.R” community_matrix_FULL.csv – same as above, but with ant identities and abundances entered. Software Epitfall_24hourlySamples.ino – Arduino script to delay start time by 1 day, collect 24 hourly samples, with temperature measurements every 5 minutes during sample collection Epitfall_dataPull.R – R script to read data files from trap, create summaries of each sampling interval, and create an empty spreadsheet with rows of unique sample ID’s in which to enter arthropod abundance data. Wiring Epitfall_wiringDiagram.fzz – Fritzing file of wiring schematic Epitfall_wiringDiagram.png – image of wiring schematic

1. Source files for project SavvyGate implementation on STM32L496-Disco board using Atollic TrueSTUDIO compiler and STM32CubeIDE designer. 2. Example code for communication with the board and integration with Spectrum Instruments ADC and AWG cards.

This dataset forms part of the thesis titled : Railway conditioning monitoring using a hybrid multi-view stereopsis and real-time kinematic geolocation pipeline for dense reconstruction: The "MVSNet.zip" archive contains the associated Spooroog software (Python) and trained neural networks that were developed to post-process the datasets, as described in Chapter 6 of the thesis. The "Experiments.zip" archive contains measurement and experimental data as described in Chapter 7 of the thesis, obtained from both the University of Pretoria's Test Track faciilty (LiDAR (Hovermap), Spooroog, digital level, UAV, structured light scanner (EinScan), geometry measurement system (KRAB) and real-time kinematic antenna surface mapping (RTK-ASM)) as well as in Ermelo, KwaZulu-Natal (Hovermap LiDAR and Spooroog). These measurements of railway profiles are subject to a variety of illumination and material conditions, represent both existing and novel measurement and instrumentation techniques investigated. The "Analysed results.zip" contains the processed data as presented in Chapter 8 of the thesis. These are subdivided into individual sub-chapters corresponding to the thesis. This also includes the Python scripts used to generate the graphs and composite visuals. Each file is a compressed archive (zip) that can be accessed using an archive manager after downloading.

This dataset forms part of the thesis titled : Railway conditioning monitoring using a hybrid multi-view stereopsis and real-time kinematic geolocation pipeline for dense reconstruction: The "MVSNet.zip" archive contains the associated Spooroog software (Python) and trained neural networks that were developed to post-process the datasets, as described in Chapter 6 of the thesis. The "Experiments.zip" archive contains measurement and experimental data as described in Chapter 7 of the thesis, obtained from both the University of Pretoria's Test Track faciilty (LiDAR (Hovermap), Spooroog, digital level, UAV, structured light scanner (EinScan), geometry measurement system (KRAB) and real-time kinematic antenna surface mapping (RTK-ASM)) as well as in Ermelo, KwaZulu-Natal (Hovermap LiDAR and Spooroog). These measurements of railway profiles are subject to a variety of illumination and material conditions, represent both existing and novel measurement and instrumentation techniques investigated. The "Analysed results.zip" contains the processed data as presented in Chapter 8 of the thesis. These are subdivided into individual sub-chapters corresponding to the thesis. This also includes the Python scripts used to generate the graphs and composite visuals. Each file is a compressed archive (zip) that can be accessed using an archive manager after downloading.