Here you can find all datasets necessary to run the example notebooks already converted to the ZARR file format.
If you want to convert additional datasets check out the scripts available in the spatialdata sandbox.
Note
S3 URLs cannot be opened directly in a web browser. They should be treated as Zarr stores. For example, appending .zgroup to any of the URLs will allow you to see that file.
For the first 3 datasets, we also provide a version of them in which they are all aligned in a common coordinate system, and where we added the cell-type information, as described in our paper, to annotate the Xenium cells.
Licenses abbreviations#CCA: Creative Common Attribution
CC0 1.0 DEED: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
CC BY 4.0 DEED: Creative Common Attribution 4.0 International
CC BY-NC 4.0 DEED: Creative Common Attribution-NonCommercial 4.0 International
The data retains the license of the original published data.
Artificial datasets#Also, here you can find additional datasets and resources for methods developers.
References#If you use the datasets please cite the original sources and double-check their license.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4