 Hello and welcome to this short video on our project integrating a biodiversity digital twin with a fair data pipeline for reproducible science. This project came about as a result of two separate projects, the first being the fair data pipeline. It was developed during the COVID-19 pandemic in response to cause for more open and traceable data and code that were going into the models that we used to give policy advice at the time. And lots of teams came together from across the UK. From academia and industry and they developed a fair data pipeline which tracks data through from the initial collection or production of the data through whatever modeling or analysis pipeline we're using right down to the presented results back to policy makers. So the data pipeline stores lots of metadata about these different data products and code runs and links to an online data registry where we can explore the provenance of these outputs. And the second is a biodiversity digital twin and in particular this one is called ecosystem. It is a tool developed particularly for simulating plant biodiversity. We simulate the plants interacting with each other and their environments across space and how they might respond to changes in say climate. And we thought this would be a useful example for the fair data pipeline which up until now has really focused on epidemiological models and could kind of serve as an example for environmental modeling and data. In particular with our modeling we focused a lot on peatland and peatland plants which are very important for reaching our carbon targets. And so we thought it would be an interesting use case to run a peatland model through the fair data pipeline. So we were able to trace the outputs of lots of these different environmental data sets and biological data sets. And so when you do this the output you end up with is something called a provenance graph that you can zoom in on and explore. It looks a bit overwhelming from a distance but if we zoom into particular sections of it we can see for example different data products that have gone into the model. The originators of those data for example the UKCH. And also the particular code run and code base that was used to produce that data product and then information on what the final output is. In this case it's a plot of water levels in the peatland that has been modeled. And so all of this information is in there for you to explore and be able to trace through from this final output all the way back to where the data originated. So thank you for listening and please see more details below.