RTECS Database on STN Enhanced with Aquatic and In Vitro Exposure Toxicity Data
Aquatic and in vitro exposure toxicity data is now available in RTECS (Registry of Toxic Effects of Chemical Substances) database. The new toxicity data is searchable in the Basic Index. It is also possible to search more specifically by Effect (EFF), Route (RTE), Organism (ORGN) and Duration (DUR).
The new data displays in the Toxicity data table as part of the TOX and TOXFULL formats, as well as in the ALL and certain other predefined display formats.
RTECS is a factual database that contains toxicity data and references for commercially important substances, including drugs and agrochemicals. The substance information and toxicology results are collected by the National Institute for Occupational Safety and Health, an agency of the U.S. Department of Health and Human Services.
MARPAT Database Enhanced with Additional Markush Backfile Content for STN
CAS is enhancing the MARPAT database with additional backfile coverage from 1987 beginning with English- and German-language patents in March. Markush content for Japanese- and additional German-language patents from 1987 will be added throughout 2012.
Get the Content You Need Sooner with ePub Ahead of Print Records Available in MEDLINE on STN!
With ePub ahead of print records, you can:
- Easily identify ePub records from an answer by the EPUB AHEAD OF PRINT tag in the AN (Accession Number) field.
- Create an answer set of ePub ahead of print records using the FS (File Segment) field (e.g., S EPUB AHEAD OF PRINT/FS).
Coming soon! Access the most current versions of online-only articles in MEDLINE on STN. Current versions will be reflected in the DN (Document Number)field for that record (e.g., DN PubMed ID: 20029611.2 Version ID: 3 Version Date: 2012/03/14).
STN Adds Chinese Patent Full Text Database - CNFULL
STN now includes CNFULL, the full-text of Chinese patent applications and patent specifications from 1985 onwards.
The Chinese Intellectual Property Office of the People's Republic of China has been the top authority for the number of patent applications. In recent years, over 500,000 applications were filed annually.
CNFULL database records contain bibliographic data including patent applicant, inventor, patent number, application, priority and related (PCT) application data, IPC and EPC classification codes, abstract and the full text of descriptions and claims. Records are available about a week after publication with the complete content. Abstracts are initially machine translated and replaced three months later by human translated text; descriptions and claims are machine translated.
Each database record contains all documents published for one application, displayed in order of appearance. Legal status data and family display formats from the INPADOCDB database are available. Online thesauri for the International Patent Classification (/IPC) and European Patent Classification (/EPC) are searchable.
The database is updated weekly and comprises over 4.5 million records and more than 3.8 million images. About 10,000 documents enter the database each week.
Numeric values of over 30 physical and chemical properties (/PHP) in almost 400 unit variants are searchable in all full text fields.
For additional information about this new databases, refer to the STN Database Summary Sheet or STNGuide (=> S CNFULL/DBN).
NAPRALERT Updated with More Natural Product Information
Get more information on natural products from the NAPRALERT (NAtural PRoducts ALERT) database on STN with the recent addition of content indexed between 2006 and 2011. NAPRALERT is also now part of the STN Fixed Fee Program.
The NAPRALERT database is a key source for bibliographic information on natural products, including information on the pharmacology, biological activity, taxonomic distribution, chemistry of plant, microbial and animal extracts, as well as ethnomedicine use records. This database is an excellent source for prior art in the areas of traditional medicine and natural products.
For more information about the NAPRALERT database on STN, please refer to the Database Summary Sheet.