Explore the Defiant Bear Template Collection
Since the summer of 1996, I have worked on countless small projects that demanded wearing many hats and I came to understand that well-organized, straightforward reporting is key to turning complex data into confident decisions. This experience inspired the creation of Defiant Bear Solutions - a product line designed to help explorers clearly and confidently present the undeniable value of their projects.
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My journey as a prospector with a PhD has taken me from the lab to field sampling to government reporting, and along the way, colleagues frequently asked if I had a handy template for a report or a sampling spreadsheet - something practical, reliable, and easy to use.
That’s why I created these templates. They reflect the realities of exploration: fast-paced work, diverse data, and the need for clarity without complexity. I know firsthand that many prospectors and junior explorers struggle with juggling technical tasks and paperwork, so I designed these tools to be accessible even for those who shy away from technology. You won’t find long-winded explanations here; instead, concise headings and streamlined layouts let the work speak for itself.
My templates are more than just documents, they’re practical aids to help you organize your information for due diligence, government submissions, and day-to-day decision-making. Whether you’re drafting a report or tracking sample data, these tools aim to save you time, reduce frustration, and keep your focus where it belongs - on the rocks, the soils, and the next discovery.
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Coding Projects
Explore with intention and purpose
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We strive to build data solutions that are efficient and cost-effective using current technologies, innovative approaches, and practical solutions that will ensure your boots on the ground are well-directed.
R Statistics-RQ Principal Component Analysis
Exploratory data analysis (EDA) and RQ-Principal Component Analysis (PCA) of geochemical and biogeochemical data for use in mineral exploration and environmental studies.
These scripts are designed to take you through censoring (the replacement of missing values using k-nearest neighbour and the imputation of upper or lower detection limit values using ilr), clr-transformation and RQ-PCA.
Please note that these scripts use R-packages that are protected under their own licenses and it's recommended that each license is reviewed prior to use.
Python-DIM Neural Nework
These coding companions are designed to take you through the creation of neural networks to classify associated diamond contents for 5 different diamond indicator silicate minerals: G10 garnet (G10), eclogitic garnet (EG), chrome diopside (CRD), olivine (OL) and orthopyroxene (OPX). The csv data files are also available.
Using data collected from Benz (2006), neural networks were created to assist in the classification of diamond indicator silicate minerals associated with high or low diamond contents. The models created would greatly benefit from more samples from a greater variety of areas and future research would include testing the chemical complexity of SEM data for the ability to create reliable neural network models that could be used to assist exploration planning.
Please note that these scripts use Python-packages that are protected under their own licenses and it's recommended that each license is reviewed prior to use.