Let me elaborate a bit more on my comment...
I would suggest going directly to NCBI's SRA database, where there are hundreds of studies to choose from. Following this link, you can search for keywords. I searched for "genomic SNP" and found a bunch of whole genome, DNA-Seq studies with reads and publications available. For example, one of the first results is for cow genome resequencing for variant discovery, found here. When talking about SNP analysis of whole genome sequencing, the projects are going to be big, and if they are not, they probably aren't great projects. Unless we're talking about bacteria, and maybe that would be a good starting place for you. See this study for genome sequencing and SNP calling for many strains of Streptococcus, and the published results of the work here.
In the bacterial example above, the materials and methods of the publication wasn't very in depth, and I fear that may be true of most publications these days. Many times the bioinformatics materials and methods is left at, "...followed the recommended protocols of the manufacturer/developer/software." This is a real problem in reproducible data today! It may be worth your time to look at some of the Nature protocol articles about easy SNP calling pipelines. If you are real lucky, maybe you can find a SNP study in which the workflow was saved as a Galaxy pipeline for the maximum ability to reproduce the materials and methods.
Hope this helps!
EDIT:
Here's one of the Nature protocol's I was talking about: "Genotype and SNP calling from next-generation sequencing data"
Besides that, I would look into the two most generally used methods, namely SAMTools pileup and GATK, if you need more help with methods.
Might be best to browse the projects on the SRA, since you can easily find if the project was published, and if they are doing variant calling. That way you are guaranteed to have the reads available to you!
Thank you! I've already browsed http://trace.ddbj.nig.ac.jp/ All projects are too big or for transcriptome analysis.