The remote sensing of biomes has come a long way, thanks to advances in detection, modelling, mapping, and analysis. These improvements have led to a greater understanding of ecosystems, our role within them, and their processes. From passive two-dimensional techniques like aerial or satellite photogrammetry, we've progressed to more human-intuitive, three- or four-dimensional techniques such as light detection and ranging (lidar), a technology that has been around since the 1960s. Lidar has been instrumental in improving our understanding of a wide range of processes at scales previously unavailable. For example, it's commonly used for accurate terrain mapping, important for the understanding of watercourse sediment as a driver of ecological function. Lidar is also used to estimate above-ground biomass (AGB), which is crucial to understanding nutrient and elemental cycling processes. However, with the potential importance of lidar data to ecological and other sciences still in its infancy, it's important to verify and validate the raw data being used. This 'cutting edge' is where Predict Ecology and Metastreme excel. Predict Ecology is an ecological and spatial data science company. They provide tools and services to help scientists, conservationists, and land managers make more informed decisions. Their focus is on creating tools that bridge the gap between the collection of data and decision-making. They incorporate real-world data collection, processing, machine learning, and visualization, enabling users to unlock insights from large, complex datasets. Predict Ecology is committed to making data more transparent, accessible, and auditable to all stakeholders. Metastreme is a software company that develops tools for data auditing and high-throughput blockchain integration. They specialize in creating blockchain data and verification solutions for complex problems. Metastreme's software platform provides powerful tools for the verification and integration of your data to blockchain. Together, Predict Ecology and Metastreme have created an experiment that validates and verifies open-source lidar data at the point level, allowing auditable and transparent data processing pipelines to be developed. The data we're presenting is a 36km² area of tropical savanna within the Herbert River catchment in Far North Queensland, Australia. It was collected by the Queensland Government in 2018 and 2021. We have processed the raw data into 2.6 million Merkel trees of 4 x 4m grids with verifiable proofs to the point level. We have already derived some products from it, and more will be released in time. In the meantime, we invite you to explore this open-source data and have fun!