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Online JOurnals Search Engine - where science meets the web. OJOSE (Online JOurnal Search Engine) is a free powerful scientific search engine enabling you to make search-queries in different databases by using only 1 search field. With OJOSE you can find, download or buy scientific publications (journals, articles, research reports, books, etc.) in up to 60 different databases.

Sciencenet - Towards a global search and share engine for all scientific knowledge. We have developed a prototype distributed scientific search engine technology, "Sciencenet", which facilitates rapid searching over this large data space. By "bringing the search engine to the data" we do not require server farms. This platform also allows users to contribute to the search index and publish their large scale data to support e-Science. Furthermore, a community-driven method guarantees that only scientific content is crawled and presented. Our peer-to-peer approach is sufficiently scalable for the science web without performance or capacity tradeoff.

"Sciencenet - Towards a global search and share engine for all scientific knowledge Modern biological experiments create vast amounts of data which are geographically distributed. These datasets consist of petabytes of raw data and billions of documents. Yet to the best of our knowledge, a search engine technology that searches and crosslinks all different data types in life sciences does not exist."

"Fagan Finder Academic Search Engines"

Towards a global search and share engine for all scientific knowledge

"DSpace Community Resource Search Engine"

Okkam Entity Search Search Okkam and find the OKKAM ID and the Okkam Profiles among more then 7.5 milion entities.

"Lingo3G: text document clustering engine Lingo3G is a software component that organizes collections of text documents into clearly-labeled hierarchical thematic folders called clusters. In real-time, fully automatically and without external knowledge bases."

"CTSAsearch is a federated search engine using Linked Open Data published by members of the CTSA Consortium and other interested parties. To try it out, use the form below or click on the "CTSA Search" entry in the menu on the left to see a ranked list of matching investigators. Check the "Display Map" box or click on the "CTSA Map" entry in the menu to visualize coauthorship amongst the matching investigators."

Competitive Intelligence Resource Index - A search engine and listing of sites-by-category for finding CI resources. CIseek.com

"Life Sciences Search Engine "

Scientific Search Engine

Searching more than 20 million Pubmed Abstracts Semantic Search service provided by hakia.com, Side-by-side comparison to PubMed

"Seasonal influenza epidemics are a major public health concern, causing tens of millions of respiratory illnesses and 250,000 to 500,000 deaths worldwide each year1. In addition to seasonal influenza, a new strain of influenza virus against which no previous immunity exists and that demonstrates human-to-human transmission could result in a pandemic with millions of fatalities2. Early detection of disease activity, when followed by a rapid response, can reduce the impact of both seasonal and pandemic influenza3, 4. One way to improve early detection is to monitor health-seeking behaviour in the form of queries to online search engines, which are submitted by millions of users around the world each day. Here we present a method of analysing large numbers of Google search queries to track influenza-like illness in a population."

The Virtual Learning Resources Center (VLRC) has thousands of websites in its index and readily available to search. VLRC tries to always keep their 10,000+ pages as up to date as possible to ensure that students are receiving the most accurate information.

With its expansive range and unprecedented potential for anonymity, (the Internet gives voice to our deepest urges and most uninhibited thoughts. Inspired by the wealth of unfettered expression available online, neuroscientists Ogi Ogas and Sai Gaddam, who met as Ph.D. candidates at Boston University, began plumbing a few chosen search engines (including Dogpile and AOL) to create the world's largest experiment in sexuality in 2009. Quietly tapping into a billion Web searches, they explored the private activities of more than 100 million men and women around the world. The result is the first large-scale scientific examination of human sexuality in more than half a century, since biologist Alfred Kinsey famously interviewed more than 18,000 middle-class Caucasians about their sexual behavior and published the Kinsey reports in 1948 and 1953. Building on the work of Kinsey, neuroscientists have long made the case that male and female sexuality exist on different planes. But like Kinsey himself, they have been hampered by the dubious reliability of self-reports of sexual behavior and preferences as well as by small sample sizes. That is where the Internet comes in. By accessing raw data from Web searches and employing the help of Alexa-a company that measures Web traffic and publishes a list of the million most popular sites in the world-Ogas and Gaddam shine a light on hidden desire, a quirky realm of lust, fetish, and kink that, like the far side of the moon, has barely been glimpsed. Here is a sampling of their fascinating results, selected from their book, A Billion Wicked Thoughts.

Next Generation Search and Knowledge Discovery Tools for the Web