Below you'll find some resources to help you find and use data. We have some links to get you started here, as well as some guides to data management and data research on campus.
If you're looking for subject specific data, it's best to contact your library liaison.
Data Resources at the U of I Library
Data Management Guide Data Hub: Geospatial and Data Sciences Support
Data by Type
- Indicators Idaho Data presented at Indicators Idaho come from a wide range of public sources. At the federal level, these sources include the U.S. Census Bureau, U.S. Bureau of Labor Statistics, U.S. Bureau of Economic Analysis, and U.S. Bureau of Indian Affairs, to name just a few. Some of our indicators – such as teen birth rates and mothers who receive late or no prenatal care – come from state sources.
- Idaho At A Glance The Idaho at a Glance series presents complex information in a brief, easy to understand format. From the University of Idaho Office of Community Partnerships.
- Idaho Population Data Tables (US Census Bureau)
- Idaho Labor Market Information (ID Dept of Labor)
- Idaho Statistics Update (U of I Library) Historical Statistics for Idaho
- Idaho Recreational Data (GIS)
- Waste Management in Idaho (Dept. of Env. Quality)
- Economic Indicators of Idaho Idaho Dept. of Commerce
- US Census Bureau
- US GAP Analysis - Protected Areas Database
- NASA - Human Dimensions Data Directory
- EOSDIS - Human Dimension Data sets
- Earth Institute - Socioeconomic Datasets
- USDA Economic Research Service Food Use, Agriculture, Nutrition
- US EPA - Wastes Homepage Resources relating to production and treatement of waste in the United States.
- Inter-University Consortium for Political and Social Research (ICPSR)
- National Centers for Environmental Information (NCEI) This database provides information from the National Climatic Data Center, part of the U.S. Department of Commerce. Included are climatic data from major airport weather stations, precipitation data, storm data, and Monthly Climatic Data for the World.
- Forestry Inventory and Analysis National Program (USFS)
- Urban Forest Data (USFS)
- Public Land Statistics (BLM)
- ForesSTAT (UN FAO)
- LANDFIRE (USGS)
- Global Change Master Directory - Land Surface
Oak Ridge National Lab - Vegetation Collections (ORNL-DAAC) Vegetation collections data include: biomass, biome characteristics, litter chemistry and decomposition, geoecology, nutrient concentration profiles and turnover, global fire emissions, vegetation, and Leaf Area Index (LAI), ecosystem Structure and Function, phenoregions, carbon flux
Oak Ridge National Lab - Soils Collections (ORNL-DAAC) The ORNL DAAC Soil Collections archive contains data on the physical and chemical properties of soils, including: soil carbon and nitrogen, soil water-holding capacity, soil respiration, soil texture.
- International Multiproxy Paleofire Database (NOAA)
- Wood Hole Research Center Datasets Datasets available include the National Biomass and Carbon Dataset 2000 (NBCD) and the Large-Scale Biosphere-Atmosphere Experiment (LBA).
Data Software, Workshops, and Guides
- OpenRefine is a free, open source application for manipulating all types of data files. See our OpenRefine workshop.
- Tableau Public
- Tableau Public is free data visualization software to help you analyze and present your data.
The University of Idaho Library offers a number of workshops on data analysis, visualization, and software.
Below are some resources related to past workshops:
Guides by Subject:
- Bioregional Planning/Building Sustainable Communities
- Climate Data
- Environmental Sciences
- Fisheries and Aquaculture
- Forest Fire Sciences
- Geological Sciences
- Geospatial Data
- International Studies
- Natural Resources & Society
- Political Science
- Social Science
- Statistical Sciences
- Wildlife Sciences, Management, and Conservation Biology
How to Cite a Dataset
If you are following a particular style, try to form the citation according to the general rules of that style. If in doubt, it is better to provide more information than less.
The general parts of a data citation are:
- Responsible Party;
- Title of dataset;
- Edition or version of dataset, if applicable;
- Name and location of data center, repository, or publisher;
- Date published;
- Analysis software, if required;
- Date accessed;
- URL, DOI or other persistent link;
- Parameters selected, if applicable
Alternately, Mark Parsons from the NCAR Library suggests this:
Author(s). ReleaseDate. Title, Version. [editor(s)]. Archive. Locator (such as DOI). [date/time accessed]. [subset used].
More information, examples, and thoughts on citing datasets can be found here.