Collection Information Summaries from Collection UUID — collection

collection_information() queries the HuBMAP collection for title, description, DOI, URL, creation date, and last modified time date.

print.collection_information() organizes the returned tibble from collection_information() in a more legible format.

Usage

collection_information(uuid)

# S3 method for class 'collection_information'
print(x, ...)

Arguments

uuid: character(1) corresponding to the HuBMAP Collection UUID string. This is expected to be a 32-digit hex number.
x: an object of class collection_information, the result of a call to collection_information().
...: additional arguments, required to conform with the print generic but not used.

Value

collection_information() returns a tibble, and columns containing information about the collection. The tibble is of class collection_information and is printed in character.

print.collection_information() is invoked automatically when the result of collection_information() is displayed for it's side effect of displaying the object.

Examples

uuid <- "90399057f6ff0ff18d4c46a378f0b069"
collection_information(uuid)
#> Pruning cache
#> Title
#>   Multimodal Molecular Imaging of Human Kidney Tissue From a 53 Year Old Black or African American Male Donor 
#>  Description
#>   Multimodal molecular imaging data collected from the Left Kidney of a 53 year old Black or African American Male donor by the Biomolecular Multimodal Imaging Center (BIOMC) at Vanderbilt University. BIOMIC is a Tissue Mapping Center that is part of the NIH funded Human Biomolecular Atlas Program (HuBMAP). Datasets generated by BIOMIC combine MALDI imaging mass spectrometry with various microscopy modalities including autoflourescence and stained microscopy. Support was provided by the NIH Common Fund and National Institute of Diabetes and Digestive and Kidney Diseases (U54 DK120058). Tissue was collected through the Cooperative Human Tissue Network with support provided by the NIH National Cancer Institute (5 UM1 CA183727-08). 
#>  DOI
#>  -  https://doi.org/10.35079/hbm789.jxct.358 
#>  URL
#>  -  10.35079/hbm789.jxct.358