EarthWorks is a discovery tool for geospatial data. It allows users to search and browse the GIS collections owned by Stanford Libraries, as well as data collections from many other institutions. Data can be searched spatially, by manipulating a map; by keyword search; by selecting search limiting facets (e.g., limit to a given format type); or by combining these options.

The International Plant Names Index (IPNI) provides nomenclatural information (spelling, author, types and first place and date of publication) for the scientific names of Vascular Plants from Family down to infraspecific ranks.

The Keck Observatory Archive takes advantage of the Observatory’s expertise with instrumentation, operations, and data organization, and of NExScI/IPAC’s expertise and infrastructure for archiving and serving large and complex data sets. KOA archives all science and calibration observations obtained since the Observatory started operations in 1994.

The objective of this repository is to (a) provide a centralized resource of comprehensive data on HIV genetic sequences and immunological epitopes by compiling, annotating, and maintaining a relational database, and (b) develop HIV sequence and molecular immunology analysis methods and tools with searchable web interfaces to assist with design and development of vaccine and therapies.

The availability of genetic variants, together with phenotypic annotations from model organisms, facilitates comparing these variants with equivalent variants in humans. However, existing databases and search tools do not make it easy to scan for equivalent variants, namely “orthologous variants,” between humans and other organisms. Therefore, we developed an integrated search engine called ConVarT (http://www.convart.org/) for orthologous variants between humans, mice, and C. elegans. ConVarT incorporates annotations (including phenotypic and pathogenic) into variants, and these previously unexploited phenotypic OrthoVars from mice and C. elegans can give clues about the functional consequence of human genetic variants. Our analysis shows that many phenotypic variants in different genes from mice and C. elegans, so far, have no counterparts in humans, and thus, can be useful resources when evaluating a relationship between a new human mutation and a disease.

In any discipline, examples are indispensable tools. They teach us the limits of our knowledge by showing us what is possible, and they can often illuminate the differences between concepts. The DaRT, leveraging the power of software, can do much more. Not only can we maintain an ever-growing store of examples, we can also efficiently explore them, and we can automate the process of "completing the picture" for each example. We can also smoothly track multiple citations for items in a way that books would have a hard time doing. In all, DaRT can provide a more complete, more easily searchable, and a better referenced package than a book.

BindingDB enables research by making a growing collection of high-quality, quantitative, protein-ligand binding data findable and usable. Funded by NIGMS/NIH.

GeneNet Engine is an exploratory tool to aid hypothesis and biomarker development at a systems-level for genotype-phenotype relationships. Expressed phenotypes may arise due to interactions between multiple genes in a system and effects from the surrounding environment. Therefore, a high systems-level view is needed to identify gene sets causal for a trait. The ability to predict genes that effect important traits is of great importance to agriculture and health. System biology approaches, that combine genomics, gene co-expression networks and data from genetic studies help provide a view at the systems-level of gene interactions. As co-expressed genes tend to be involved in similar processes, it is expected that co-expressed genes may work together to give rise to specific pheontypes. The network module serves as the basic unit of exploration in this site.

Validated NMR structures of proteins and nucleic acids.

IRIS provides management of, and access to, observed and derived data for the global earth science community. IRIS membership comprises virtually all US universities with research programs in seismology, and is dedicated to the operation of science facilities for the acquisition, management, and distribution of seismological data. IRIS programs contribute to scholarly research, education, earthquake hazard mitigation, and verification of the Comprehensive Nuclear-Test-Ban Treaty.