Getting Material from NRLF
A large part of the library's collection is stored off campus in an environmentally secure building called the Northern Regional Library Facility [NRLF].
Submit online requests via the REQUEST button in OskiCat to borrow material shelved at NRLF. To receive electronic or paper copies of book chapters or journal articles, submit an online request via the "Request an article from NRLF (photocopy or web delivery)" link that appears in eligible titles in OskiCat. Staff at public service desks of any campus library can assist you with further questions.
Log in to Request with your Calnet ID and fill out the screens. Choose the volume you want, for periodicals:
HathiTrust (Hathi is pronounced hah-tee) is a partnership of libraries that works towards the goal of developing a shared digital access, preservation, and storage solution for the materials held in the member libraries. The contents of HathiTrust are similar to that of GoogleBooks, but the collecting focus is on scholarly materials and the resource includes content and features (such as indexing and manipulation of results) not available in Google Books.
- To limit to “full view” (public domain materials) in your search, check the “full view only” box.
- From the “full view” of any item, click on Download whole book (PDF).
- Click login.
- Choose the University of California, Berkeley from the drop down list and click login.
- Enter your CalNet ID and passphrase.
- Click Download whole book (PDF).
- PDF will load and you will choose to either open it or save it.
- Phrase Searching: Use quotes to search an exact phrase: e.g., "occult fiction"
- Wildcards: Use * or ? to search for alternate forms of a word. Use * to stand for several characters, and ? for a single character: e.g., optim* will find optimal, optimize or optimum; wom?n will find woman and women.
- Boolean Searching: Use AND and OR between words to combine them with Boolean logic: e.g., (heart OR cardiac) AND surgery will find items about heart surgery or cardiac surgery.
- Phrase Searching: Use quotes to search an exact phrase: e.g., "occult fiction."
- Multiple Term Searching: When your search terms are not quoted phrases, avoid common words (such as: 'a', 'and', 'of', 'the', etc.) to speed up your search.
- Boolean Searching: Use AND and OR between words to combine them with Boolean logic: e.g., heart OR cardiac will find items containing the word heart or the word cardiac; heart AND cardiac will find items containing both words. Use a minus (-) to remove words from the result e.g., heart -cardiac will find items containing the word heart that do not include the word cardiac.
- On the Collections page, click on login.
- Choose the University of California, Berkeley from the drop down list and click on login.
- Enter your CalNet ID and passphrase.
- Click on Create a New Collection and name your collection (the description is optional).
- Indicate whether it is a "Private" or "Public" collection.
- Click on Add.
In the future if you want to edit, change the private/public setting, or delete the collection, your collections will always be listed in the "My Collections" tab whenever you are logged in to HathiTrust.
OskiCat Search Terms
Here are some terms you can use in OskiCat or Melvyl that may help you find books on your topic. Remember, these search engines only let you search brief information about the books - you're not searching in the full text of the books themselves! If you're not getting enough results, try leaving out some search terms, searching for a broader topic or using fewer terms, using Google Books, or asking a librarian.
All of these terms are Library of Congress subject headings -- which means you'll get the most complete results if you enter them exactly as typed. Uou can combine more than one term for a more focused search. Using the default Keyword search in OskiCat will usually give you the best results.
Searching Library Catalogs
Use OskiCat to locate materials related to your topic, including books, government publications, and audio and video recordings, in the libraries of UC Berkeley. OskiCat will show you the location and availability of the items that we own.
- Using OskiCat (but not Melvyl) you can also renew your books online, look up course reserve materials by course number or instructor name, and place holds on items that other library users have already checked out.
Use Melvyl to locate materials related to your topic located at other campuses in the UC system, or worldwide. You can use the Request button to request an item from another library, if we don't own it.
- Using Melvyl (but not OskiCat) you can find articles as well as books, easily format a citation for copying into a bibliography, and see images of book covers, when available. Melvyl will also show you the location and availablity of items that we own.
Melvyl has changed as of January 2012, and now includes many more articles. Detailed Melvyl help.
Google Books contains millions of scanned books, from libraries and publishers worldwide. You can search the entire text of the books, view previews or "snippets" from books that are still in copyright, and read the full text of out-of-copyright (pre-1923) books. Want to read the entire text of an in-copyright book? Use Google Books' Find in a Library link to locate the book in a UC Berkeley library, or search OskiCat to see if UC Berkeley owns the book.
Why use Google Books?
Library catalogs (like OskiCat) don't search inside books; using a library catalog, you can search only information about the book (title, author, Library of Congress subject headings, etc.). Google Books will let you search inside books, which can be very useful for hard-to-find information. Try it now:
Find Dissertations by searching Dissertations and Theses (Dissertation Abstracts) Full Text, which indexes graduate dissertations from over 1,000 North American, and selected European, graduate schools and universities from 1861 to the present. Dissertations published since 1980 include brief abstracts written by the authors and some feature 24-page excerpts. The database offers full text for most of the dissertations added since 1997 and some full text coverage for older graduate works.
Also see Find Dissertations and Theses for other specialized sources. Dissertations completed at UC Berkeley can be found in OskiCat, using the feature allowing you to limit to dissertations/theses: