It will be interesting to see how much uptake such a top-level index gets. The search capability (e.g., https://news.ycombinator.com/item?id=10264811 https://n

It will be interesting to see how much uptake such a top-level index gets. The search capability (e.g., https://news.ycombinator.com/item?id=10264811 https://news.ycombinator.com/item?id=10264811) returns so many results for typical naive queries ("temperature" returns 8300), that it's impossible to sift through them. They seem to be un-curated, so a niche product with marginal calibration gets equal play to flagship products with thousands of users. People like me who use lots of this data every day have sat in panels and workshops and mused whether a searchable top-level index would be useful, because this is not how scientists work. They ask their friends which sources are best for their use, e.g., which have the right coverage and sampling in space, time, and wavelength. And they settle into something, and maybe make a big shift to a new product when it comes online. But: something like this index could be helpful, to citizens, decision-makers (e.g., tree canopy depth maps for fighting forest fires), and to out-of-discipline scientists ("what if I brought in NASA sea surface temperature to my analysis of beach restaurant revenue fluctuations?"). For CO2, here's an example (https://co2.jpl.nasa.gov https://co2.jpl.nasa.gov) which gives 5 simple use cases and sketches why you'd choose one over the other.