file_download(DOI::String,nam::String,pth=tempdir())

DOI="doi:10.7910/DVN/OYBLGK"
filename="polygons_MBON_seascapes.geojson"
Dataverse.file_download(DOI,filename)

file_download(list::DataFrame,nam::String,pth::String)

lst=Dataverse.file_list("doi:10.7910/DVN/RNXA2A")
Dataverse.file_download(lst,lst.filename[2],tempdir())

untargz(fil)

Decompress and extract data from a .tar.gz file.

function unzip(file,exdir="")

Source : @sylvaticus, https://discourse.julialang.org/t/ how-to-extract-a-file-in-a-zip-archive-without-using-os-specific-tools/34585/5

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()

dataverse_scan(nam::Symbol=:ECCOv4r2)

Use HTTP, JSON, and DataFrames to list contents in a dataverse.

Returns header (Dict), dataverses (DataFrame), and datasets (DataFrame).

(header,dataverses,datasets)=Dataverse.dataverse_scan()
Dataverse.file_list(datasets.persistentUrl[1])

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

Use HTTP, JSON, and DataFrames to list files in a dataset.

Return a DataFrame with filename, filesize, and id.

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

file_list(nam::Symbol=:OCCA_clim)

Lookup DOI from list of demo data sets (:OCCAclim or :ECCOclim).

files_to_DataFrame(files)

Convert output from dataset.json()["data"]["latestVersion"]["files"] to a DataFrame.