APIs(;do_install=true,base_url = "https://dataverse.harvard.edu/")

(DataAccessApi,NativeApi)=pyDataverse.APIs()

dataset_file_list(DOI::String="doi:10.7910/DVN/ODM2IQ")

Use NativeApi.get_dataset to derive the list of files (name, etc) via files_to_DataFrame.

dataset_file_list("doi:10.7910/DVN/ODM2IQ")

dataset_file_list(nam::Symbol=:OCCA_clim)

Lookup DOI from list of demo data sets.

dataset_file_list(:OCCA_clim)

dataverse_file_list(nam::Symbol=:ECCOv4r2)

• Use NativeApi.get_children to get the tree of datasets
• Loop through and return vector of dataset_file_list output

demo(option::String)

• call demo_download if option=="download"
• call demo_metadata if option=="metadata"

demo_download(;path=tempdir(),DOI = "doi:10.7910/DVN/KBHLOD")

Replicate the worflow example from

https://pydataverse.readthedocs.io/en/latest/user/basic-usage.html#download-and-save-a-dataset-to-disk

pyDataverse.demo_download()

demo_metadata()

pyDataverse.demo_metadata()