Global Semiconductor Manufacturing Water Withdrawals
Kali D Frost, Inez Hua
The Purdue University Research Repository (PURR) provides an online, collaborative working space and data-sharing platform to support Purdue researchers and their collaborators.
PURR measures storage by the project not the user, so you always have room for something new. All projects start with 100GB of storage. Is your project grant funded? Let us know and we’ll bump that up to 1 TB at no cost to you.
Make it easy for researchers to find and cite your data by publishing with PURR. Each dataset gets a Digital Object Identifier (DOI) that makes it easier for people to cite your data and give you credit. PURR even helps keep track of when your dataset gets cited.
PURR’s most re-used dataset has been cited 99 times since it was published in 2015, including more than 50 articles in 25 journals with an average Journal Impact Factor of 3.185.
Explore the open data behind Purdue's world-class research. PURR publishes and archives digital datasets from researchers across campus and welcomes all kinds of open data from images and videos to spreadsheets and source code.
Michael Witt, Olof Olsson, Sean P. Brophy
Charles Menifield, Geiguen Shin, Logan Strother
Caroline Autret, Asena Kızılarslanoğlu, Matthew Dillon, Stanislav Pejša, Nicholas Kregotis Rauh, Richard M. Rothaus
Xinping Chen, Walter Daniel Leon-Salas, Hana Hall, Jeffrey P Simpson, Donald F Ready, Vikki Marie Weake
James A McCann, Purdue
Michael Jones-Correa, Cornell
An original national survey of the foreign-born Latino population in the US who were interviewed during and/or immediately after the 2012 national elections in the US.
Create a Data Management PlanLearn about the detailed requirements for your data management plan (DMP). Funding agency requirements are very specific and our DMP resources can help you to clear up any confusion. Get Started ›
Upload Research Data to Your ProjectCreate a project to upload and share your data with collaborators using our step-by-step form to guide you through the process. Invite collaborators from other institutions to join your project. Create a Project ›
Publish your DatasetPackage, describe, and publish your dataset with a Datacite DOI. Publishing will ensure your dataset is citable, reusable, and archived for the long-term. See Published Datasets ›