 Hello, I'm Siddeshwaraguru, Programme Leader of TURN Data Services Analytics Platform. Today I will talk about some of the skill development initiatives in TURN. My talk will provide an overview of TURN and what TURN offers for the ecosystem science community. Finally, I will provide an overview of training initiatives operated in TURN. So TURN is an increased funded initiative to collect, collect, and publish terrestrial ecosystem data. In TURN, data is collected at three different scales. Firstly, the TURN landscape performs observation and derived products at continental scale. These are remote sensing observations and model derived data products. The second level of observations are regional scale surveillance monitoring with site based surveys performed across Australian landscape. We have around 800 plots covering most of the terrestrial biomes collecting vegetation and ecological processes related data. The third scale of observations are intensive monitoring, which are highly sensorized monitoring network. We call them ecosystem processes. These are more than 30 flux towers and 12 supersize distributed across the country. Typical observations made are carbon flux and water fluxes from 30 eddy covariance flux towers, biodiversity monitoring using phenocam and acoustic sensors, and human observations to measure flora and fauna population. In general, TURN provides multiple artifacts for users. These include data products, repositories, and tools to access and use them. Standard protocols for field data collection and field calibration, validation, and book for remote sensing products are also available. The training in TURN is largely comes under three categories. The first one is the training related to data collection. TURN provides hands-on training in collecting site-based survey data. These are typically four days of training, which we run at least once a year. These trainings will have one day of classroom tutorial and three days of field data collection using OSPROTS protocol. In addition, participants will also be trained to use OSPROTS R package to perform data analysis. The data processing training is the big part of the flux community of TURN. It is an annual week-long data processing training to teach young researchers on how to process and assure and quality control flux-related observation data to derive reusable products. The aim of the training is to learn to use processing software and create time-series data products. Again, these are week-long hands-on classroom-based trainings. The third category of training related to data accessibility and analytics, TURN maintains comprehensive knowledge base and GitHub repository to document user guides for multiple tools and services. The GitHub repository have a copy of sample programs and all the materials used in the previous training workshops. We have user manuals for most of the tools in the knowledge base. In addition, TURN runs regular training courses in the annual Ecological Society of Australia conferences. Following are some of the training-related resources and tools that are used by the community to access data and dynamic tools. I strongly encourage participants to explore these links. Before I finish, we at TURN acknowledge the traditional owners and their custodianship of the land on which TURN operates. We pay our respects to their ancestors and their descendants who continue cultural and spiritual connection to the country. We would like to acknowledge the use of ARDC and Chris Cloud Infrastructure. Thank you for your attention.