R package "crossmeta": get_raw function unable to locate supplemental files

Question

[monkey-bars]

I am attempting to conduct a meta analysis of GEO datasets using crossmeta (https://bioconductor.org/packages/release/bioc/html/crossmeta.html). The tutorial gives a function for downloading the datasets: "get_raw", but it keeps telling me that there are no supplemental files available for any of the datasets that I tried, even though I verified that there were. Does anyone have experience with this package or have any idea how to solve this issue?

> library(crossmeta)
> 
> # specify where data will be downloaded
> data_dir <- file.path(getwd(), "data-raw", "sampledata")
> 
> # gather all GSEs
> gse_names <- c("GSE83091", "GSE97254", "GSE34095")
>
> #gather illum (both GSEs are illum)
> illum_names <- c("GSE83091", "GSE97254")
> 
> #download raw data
> get_raw(gse_names, data_dir)
https://ftp.ncbi.nlm.nih.gov/geo/series/GSE83nnn/GSE83091/suppl/
No supplemental files found.
Check URL manually if in doubt
https://ftp.ncbi.nlm.nih.gov/geo/series/GSE83nnn/GSE83091/suppl/
https://ftp.ncbi.nlm.nih.gov/geo/series/GSE97nnn/GSE97254/suppl/
No supplemental files found.
Check URL manually if in doubt
https://ftp.ncbi.nlm.nih.gov/geo/series/GSE97nnn/GSE97254/suppl/
https://ftp.ncbi.nlm.nih.gov/geo/series/GSE34nnn/GSE34095/suppl/
No supplemental files found.
Check URL manually if in doubt
https://ftp.ncbi.nlm.nih.gov/geo/series/GSE34nnn/GSE34095/suppl/

Answer 1

[bioinformatics2020]

Looks like others are having this problem as well: Trouble using get_raw() function in crossmeta R package to extract GEO data for differential expression analysis

[monkey-bars]

Yup, I did see that one. Unfortunately, it didn't get answered, so I figured I'd try my luck and hope somebody with the right expertise would notice it.