Scinapse

What is Scinapse?
Scinapse is a free search engine for academic papers. As of April 2019, it indexes more than 200 million articles from more than 40,000 journals. It has more than 300,000 visitors on a monthly basis, as of April 2019.

Scinapse currently runs on a database collected from four major sources, namely Microsoft Academic Graph (MAG), Semantic Scholar Open Research Corpus (ORC), Springer Nature SciGraph, and PubMed. Refer to each source to investigate what they cover. Scinapse does not cover anything else.

https://scinapse.io/

PatSeq

Biological Toolset
Search and analyse Biological Sequences disclosed in patents

Choose among the 5 apps available to you to search and analyse the DNA, RNA and protein sequences found in patents. The Lens’ unique open PatSeq facility allows you to search, analyse and share the biological sequences disclosed in patents. This is the world’s largest publicly available database with internal transparency metrics.

https://www.lens.org/lens/bio

Semantic Scholar

Semantic Scholar helps researchers find better academic publications faster. Our engine analyzes publications and extracts important features using machine learning techniques. The resulting influential citations, images and key phrases allow our engine to “cut through the clutter” and give you results that are more relevant and impactful to your work.

Semantic Scholar is committed to supporting high-impact research and engineering by providing universities and organizations access to our data. Please visit http://api.semanticscholar.org/corpus/ to find data to support your research. We request that any published research that makes use of this data cites the paper provided.

https://www.semanticscholar.org

WorldCat

WorldCat is the world’s largest network of library content and services. WorldCat libraries are dedicated to providing access to their resources on the Web, where most people start their search for information.

WorldCat.org lets you search the collections of libraries in your community and thousands more around the world. WorldCat grows every day thanks to the efforts of librarians and other information professionals.

https://www.worldcat.org

OASIS (OER Search Tool)

Openly Available Sources Integrated Search (OASIS) is a search tool that aims to make the discovery of open content easier. OASIS currently searches open content from 73 different sources and contains 175,949 records.

OASIS is being developed at SUNY Geneseo’s Milne Library in consultation with Alexis Clifton, SUNY OER Services Executive Director.

OASIS Development Team
Allison Brown, Digital Publishing Services Manager
Bill Jones, Digital Resources & Systems Librarian
Ben Rawlins, Library Director

https://oasis.geneseo.edu

Creative Commons “CC Search” project

There is no larger compendium of shared human knowledge and creativity than the Commons, including over 1.4 billion digital works available under CC tools. Despite the tremendous growth of the Commons, and the widespread use of the CC licenses and public domain marks, there is no simple way to maximize use of, and engagement with, all of that content. There is no front door — no tool designed for the general public to facilitate discovery for the purpose of reuse and remix, to simplify the license terms, make attribution easy, or support curation, and crowdsourced metadata.

Creative Commons’ “CC Search” project will develop and release an open online search and re-use tool that will allow high-quality content from the commons to surface in a more seamless and accessible way. Our beta relies on open APIs and the Common Crawl dataset and focuses on photos as its first media type. It is meant to elicit discussion and inform our development as we build out the full set of tools. “CC Search” will enable users to curate, tag, and remix that content. It will go beyond simple search to aggregate results from across the hundreds of public repositories into a single catalog, and also facilitate the use and re-use through tools like curated lists, saved searches, one- or no-click attribution, and provenance.
New Release

This release contains several new features, including AI image tags generated from our collaborator, Clarifai. Clarifai is a best in class image classification software that provides tagging support and visual recognition. Clarifai’s API was integrated in the process-flow as a means to automatically generate tags for the new and existing images. This means that CC search has machine-generated tags, user-defined tags, and platform-defined tags that were obtained from the web crawl data. Collectively, these will enhance the user’s search experience and improve the quality of the results. Currently, 10.3 million images have their respective Clarifai tags and the outstanding images will be integrated on an ongoing basis. Tags generated via Clarifai are marked with a on the detail page for each image. With this addition, we’re not just cataloging the commons, we’re making it better. Thank you to Clarifai for their support.

https://ccsearch.creativecommons.org/

CC Search

Creative Commons’ “CC Search” project will develop and release an open online search and re-use tool that will allow high-quality content from the commons to surface in a more seamless and accessible way. Our beta relies on open APIs and the Common Crawl dataset and focuses on photos as its first media type. It is meant to elicit discussion and inform our development as we build out the full set of tools. “CC Search” will enable users to curate, tag, and remix that content. It will go beyond simple search to aggregate results from across the hundreds of public repositories into a single catalog, and also facilitate the use and re-use through tools like curated lists, saved searches, one- or no-click attribution, and provenance.

https://ccsearch.creativecommons.org/