Access, use, and reproduction of the electronic resources made available through the Grinnell College Libraries are governed by license agreements with publishers which may impose greater restrictions on use than does copyright law. The user is responsible for observing these agreements as well as the copyright laws of the United States (Title 17, United States Code), including the fair use guidelines that protect scholarship and research.
When accessing subscription databases from off-campus, you will be asked to sign in using your campus username and password. If you have any problems accessing library resources from off campus, please contact Rebecca Ciota or Sheryl Bissen.
Digital resource presenting insight into interactions between American Indians and Europeans from their earliest contact up to the civil rights movement of the mid-20th century. Contains material from the Newberry Library's Edward E. Ayer Collection, including books, manuscripts, artwork, photographs, and newspapers. Highlights include rare documents such as treaties, speeches, diaries & travel journals, and historical maps. Automated extraction of data is not allowed directly from the database without the written consent of Adam Matthew--see a Librarian for assistance.
EEBO-TCP is a partnership with ProQuest and over 150 libraries to generate highly accurate, fully searchable, SGML/XML-encoded texts corresponding to books from the Early English Books Online database. ProQuest recommends that you export a maximum of approximately 500 records at a time.
1492-present. A digital collection of original primary documents relating to intercultural contact, including aspects of imperialism, religion, race, and class. Automated extraction of data is not allowed directly from the database without the written consent of Adam Matthew--see a Librarian for assistance.
"The Harvard Library is committed to making as much of its metadata as possible available through open access in order to support learning and research, to disseminate knowledge and to foster innovation. Open access to metadata aligns with the university’s established commitment to open access for scholarly communication."
"Data for Research is a free service for researchers wishing to analyze content on JSTOR through a variety of lenses and perspectives. DfR enables researchers to find useful patterns, associations and unforeseen relationships in the body of research available in the journal and pamphlet archives on JSTOR. To this end we provide data sets of documents to researchers: OCR, metadata, Key Terms, N-grams and reference text.
If you require more than 1,000 documents or a type of data not available through the interactive portion of the site, please contact us at: email@example.com. We will provide you with a questionnaire where you can more fully describe the nature of your work, its participants, and the requested type and amount of data..If we are able to approve your request for the provision of the data as described, we will present you with our Data for Research agreement for your review and signature." (see a Librarian for assistance)
This collection showcases the development of 'popular' remedies and treatments in America during the 19th century, through an extensive range of material that was aimed at the general public rather than medical professionals. These popular practices were built upon earlier traditions of folk medicine and help to show the relationships between the old-style apothecaries and the newly emerging scientific methods. Trends such as phrenology, herbal medicine, and hydrotherapy are covered. Explore an array of printed sources, including rare books, pamphlets, trade cards, and visually-rich advertising ephemera. Automated extraction of data is not allowed directly from the database without the written consent of Adam Matthew--see a Librarian for assistance.
As more vendors recognize the importance of data mining and as we can get the licenses updated to allow this ability, more resources will be added to this Guide.
= Restricted resource
= Video files
= Audio files
= Scholarly articles
= Quantitative data
= Highly recommended
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