Where can I find Single Cell Data with Location "Coordinates"? Does single cell data typically have the following meta-data: the &quot;coordinates&quot; (e.g. on a tissue, adjacent tissues) saying where each cell in the sample was located relative to other cells? If not, is it possible to reconstruct this with other meta-data on the cells?
With the ultimate goal of working hands on with such location-tagged data, I am hoping for suggestions on the correct terms to search for, and even references to previous studies and/or easy to use public datasets.
For visual reference of the idea I have in mind, consider this picture:

I expect expression of any given gene in the skin cells in Condition 1 to be very different according to the location of the cell. For condition 2, I wouldn't expect the expression of a gene in the skin cells to be overly different, if at all. I want to see if I can formalize this idea using data mining techniques that were created for other purposes, but first I need the proper data.
edit: Here is an example of the format I eventually hope to work with.
Fake table 1: Each row represents measurements taken for a unique cell, while the last three columns have coordinates for its location.
\begin{array}{r|lllllllll}
  \hline
 cell &amp; phenotype1 &amp; phenotype2 &amp; \dots &amp; gene1.expr &amp; gene2.expr &amp; \dots &amp; x.loc.coord &amp; y.loc.coord &amp; z.loc.coord \\ 
  \hline
1 &amp; 0.69 &amp; 1.34 &amp; \dots &amp; 1.91 &amp; 0.21 &amp; \dots &amp; 1.12 &amp; 0.05 &amp; 1.09 \\    2 &amp; 0.34 &amp; 0.92 &amp; \dots &amp; 1.74 &amp; 2.03 &amp; \dots &amp; 0.57 &amp; 0.46 &amp; 0.24 \\ 
   \vdots &amp; \vdots &amp; \vdots &amp; \vdots &amp; \vdots &amp; \vdots &amp; \vdots &amp; \vdots &amp; \vdots &amp; \vdots \\ 
  n &amp; 1.97 &amp; 1.3 &amp; 0.96 &amp; 0.19 &amp; 0.66 &amp; \dots &amp; 0.25 &amp; 0.02 &amp; 1.27 \\ 
   \hline
\end{array}
Alternatively, if the (x,y,z) coordinates of Fake Table 1 are unavailable or not reconstructable, are there datasets which help us construct an adjacency list of cell pairs according to their location, such as Fake Table 2?
Fake Table 2: An adjacency table with pairs of cells which were next to each other when the measurement was taken.
\begin{array}{r|cc}
  \hline
pair &amp; cell1 &amp; cell2 \\ 
  \hline
1 &amp; 1 &amp; 2 \\ 
  2 &amp; 1 &amp; 3 \\ 
  3 &amp; 1 &amp; 4 \\ 
  4 &amp; 2 &amp; 3 \\ 
  5 &amp; 2 &amp; 4 \\ 
  \vdots &amp; \vdots &amp; \vdots \\ 
  m-1 &amp; n &amp; n-2 \\ 
  m &amp; n &amp; n-1 \\ 
   \hline
\end{array}
I come from a statistics background with a basic understanding of this type of data from talks I've attended, but not hands on experience. I mostly just want to explore this type of data to inform my future work. I am open to any type of scRNA-seq data with cell location &quot;coordinates,&quot; if that's the correct thing to ask.
Does single cell data typically have the following meta-data: the
&quot;coordinates&quot; (e.g. on a tissue, adjacent tissues) saying where each
cell in the sample was located relative to other cells?

No. Typical scRNA-seq is just capturing random cells in a tube with no additional information. The technology you are looking for is spatial transcriptomics where you are measuring RNA levels at a particular location, but that is still not on the single-cell level.

If not, is it possible to reconstruct this with other meta-data on the
cells?

There have been efforts to reconstruct spatial relationship. For example: Satija et al. 2015. There should be more recent approaches that I am not aware of.