 So here we do have our data section, which we are quite proud of. And here we feature different data sets and you can again see the kind of data sets we differentiate. So we do feature statistical data. And we feature more recently, I would say, not that extensively yet spatial data. And the statistical data are in this case mainly indices, country rankings, numbers of tenure security or performance indexes, how is tenure security perceived in certain countries, etc. And this data is actually assorted or grouped by the organization featuring this data set. So I would click on statistical data. And you would see the different data sets we feature, but also you can actually search these by a different keywords. So if I would look for customary tenure, for instance, I can just search for tenure, click on customary tenure filter our data sets, and then would get the indicators and also. And also, and that's the point, visualized a bit. So here we have country rankings. We see the first five countries and the lowest performing countries. And if we look at other data sets, statistical ones, we would have kind of maps where you could look for indicators and then see performance indexes on this map. So we do have already in the data section, a little bit of representation of figures, which makes it way more digestible than just producing a table. On the contrary, if we talk about our spatial data. And here we would have real. I guess you might know the landmark or landmark map which is quite popular. We would actually have actual data like tenure ownership, conservancies, communal areas, especially represented on a map. So it's different than having a country ranked by an indicator. Yeah, I think I don't have to go into much more detail because I mean, if most of the attendees here work with data probably I'm just boring people anyway. But I can just invite you to maybe have a look at our data section, because I think they are just, they are quite interesting data sets a good work with. However, we realized that the land portal exactly what are the point I made in the beginning, we should kind of find ways how we can communicate data more effectively than just hiding it in the data section. And also, I mean, we all working with land we know it's not only about statistical figures, country rankings or whatever it's about people, people living on the land people owning the land or not owning it. The struggle for resources for equality and representation. And this together with the audience's desire to get maybe digested data, we came up with story maps at the land portal. And if you look at the data section in the second lowest of these links, we do have a section on data stories. And we feature a variety of data stories from all over the globe about carbon sequestration in communal areas. The change of land use and agriculture production with the global mays boom in Thailand. We have stories about pastoralists in Iran. On communal areas in South Africa and the differences between, yeah, former communal areas and freehold lands. We have them in different languages. And also, I think it's a beautiful example on how we can frame a narrative and communicate it, but also how we can mix different data together. We work with visuals. We work with statistical data. We work with spatial data. We work with qualitative data so we can mix videos and interviews and pictures and show a map where people live for the resources they fight for, or where people are expropriated and then tell their story. Then I think that's the compelling thing about story maps. So in the past, we were just featuring data and now we at the land portal moved on to these more interactive ways of present narratives and also people's perspectives. Yeah, it's also a way more inclusive way to represent data and land just then producing figures so we can communicate these narratives and to populate our data section with these data stories in the past we ran certain data contests per year. And I think with this, I can just hand over to you.