This page has links to research data that can be used for your Individual Project in the field of:
You can find datasets from many disciplines, including environmental and social sciences, as well as government data and data provided by news organizations, in:
You can find DNA sequences, amino acid sequences, SNPs (single nucleotide polymorphisms). genes, and other related databases in the links below. Most are from the National Center for Biotechnology Information, part of the U.S. National Library of Medicine.
The Cornell Lab of Ornithology is a leader in the study, appreciation, and conservation of birds. Through their programs they aim to advance the understanding of nature and to engage people of all ages in learning about birds and protecting the planet. They host the eBird databse, in collaboration with organizations, regional experts, and users ("eBirders") all over the world.
eBird is the world’s largest biodiversity-related citizen science project, with more than 100 million bird sightings contributed each year by eBirders around the world. eBird data document bird distribution, abundance, habitat use, and trends through checklist data collected within a simple, scientific framework. Birders enter when, where, and how they went birding, and then fill out a checklist of all the birds seen and heard during the outing. Access this database by creating an account with a username and password. eBird includes population data from The Great Backyard Bird Count, maps of citizen-created bird habitat from Habitat Network. bird songs and calls from Macaulay Library, nest camera data from NestWatch, and sightings at bird feeders from Project FeederWatch. These citizen science projects at the Cornell Lab of Ornithology provide a way for people to learn about birds, habitat, science, and conservation while contributing to real scientific studies.
Another resource available on the Cornell Lab of Ornithology website:
Google's Dataset Search platform enables users to find datasets stored across the Web through a simple keyword search. The tool surfaces information about datasets hosted in thousands of repositories across the Web, making these datasets universally accessible and useful.
Google believes that this project will have the additional benefits of a) creating a data sharing ecosystem that will encourage data publishers to follow best practices for data storage and publication and b) giving scientists a way to show the impact of their work through citation of datasets that they have produced.
As more dataset repositories use schema.org and similar standards to describe their datasets, the variety and coverage of datasets that users find in Dataset Search, will continue to grow.
Datasets that can be accessed on this page include: