Dataset Containing 173 College Common Data Sets

Contains Common Data Sets for the Following Schools:

• Alabama State University
• Angelo State University
• Arapahoe Community College
• Arkansas Tech University
• Aurora University
• Baldwin Wallace University
• Beloit College
• Bemidji State University
• Berea College
• Binghamton University
• Boston University
• Bucknell University
• Cabrini University
• California Baptist University
• California State University, Bakersfield
• California State University, Long Beach
• California State University, Los Angeles
• California State University, Sacramento
• Carnegie Mellon University
• Case Western Reserve University
• Christopher Newport University
• Clark University
• Colby College
• College of Charleston
• Collin College
• Colorado College
• Colorado School of Mines
• Colorado State University-Pueblo
• Columbia College
• Concordia University Texas
• Cornell University
• Davidson College
• Delaware Technical Community College
• DeSales University
• Dickinson College
• Drake University
• Drew University
• Duquesne University
• East Central University
• Eastern Washington University
• Embry Riddle Aeronautical University-Daytona Beach
• Fairfield University
• Florida Gulf Coast
• Florida International University
• Fort Hays State University
• Georgia Institute Of Technology
• Gettysburg College
• Hamilton College
• Hollins University
• Humboldt State University
• Iowa State University
• Jackson State University
• John Jay College of Criminal Justice
• Kennesaw State University
• Lafayette College
• Lane College
• Lee University
• Le Moyne College
• Lenoir Rhyne University
• Life University
• Loyola University Maryland
• Lubbock Christian University
• Lycoming College
• Lynn University Common Data Set
• Malone University
• Marlboro College
• Maryville University
• Massachusetts Maritime Academy
• Metropolitan State University of Denver
• Michigan Technological University
• Middlebury College
• Millersville University
• Mississippi State University
• Mott Community College
• Neumann University
• Northeastern State University
• Northern Arizona University
• Northern Kentucky University
• Nyack College
• Oklahoma Christian University
• Oklahoma State University
• Old Dominion University
• Oral Roberts University
• Pepperdine University
• Pomona College
• Prescott College
• Providence College
• Reed College
• Regis University
• Rensselaer Polytechnic Institute
• Rice University
• Rochester College
• Rutgers University
• Saint Vincent College
• San Francisco State University
• Santa Clara University
• Scripps College
• Seton Hill University
• Sewanee
• Shippensburg University
• Simpson University
• Slippery Rock University
• Smith College
• Sonoma State University
• Southeastern Community College
• Southeastern Oklahoma State University
• Southwestern Oklahoma State University
• Springfield College
• St. Ambrose University
• Stanford University
• Stephen F. Austin State University
• SUNY Oneonta
• SUNY Potsdam
• Sweet Briar College
• Taylor University
• Temple University
• Tennessee Wesleyan University
• Texas A&M University - Kingsville
• Texas A&M University
• Texas Wesleyan University
• The College at Brockport
• The College of New Jersey
• The University of Scranton
• The University of Southern Mississippi
• The University of Tennessee
• Trinity University
• Tufts University
• Tulane University
• Tulsa Community College
• University at Buffalo
• University Enrollment
• University of California - Davis
• University of California, Riverside
• University of Colorado Boulder, 2015
• University of Delaware
• University of Kentucky
• University of Louisville
• University of Maine
• University of Missouri
• University of Montana
• University of Mount Olive: 2016
• University of Nebraska Kearney
• University of Nebraska-Lincoln
• University of Nevada, Reno
• University of New Hampshire
• University of New Mexico
• University of North Alabama
• University of North Carolina at Charlotte
• University of Pennsylvania
• University of Pikeville
• University of Puget Sound
• University of Science and Arts
• University of Texas Rio
• University of the Sciences in Philadelphia
• University of Wisconsin
• University Wide Common Data Set 2015
• Villanova University
• Virginia Commonwealth University
• Washburn University
• Washington and Lee University
• Washington College
• Weber State University
• Wellesley College
• Wesleyan University
• Westfield State University
• Westminster College
• Wheaton College
• Whitman College
• Widener University
• Worcester Polytechnic Institute
• Xavier University of Louisiana
• Xavier University
• Yale University

The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. The purpose is to provide an open access, well documented global data set of roads between settlements using a consistent data model (UNSDI-T v.2) which is, to the extent possible, topologically integrated.Dataset SummaryThe Global Roads Open Access Data Set, Version 1 (gROADSv1) was developed under the auspices of the CODATA Global Roads Data Development Task Group. The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. All country road networks have been joined topologically at the borders, and many countries have been edited for internal topology. Source data for each country are provided in the documentation, and users are encouraged to refer to the readme file for use constraints that apply to a small number of countries. Because the data are compiled from multiple sources, the date range for road network representations ranges from the 1980s to 2010 depending on the country (most countries have no confirmed date), and spatial accuracy varies. The baseline global data set was compiled by the Information Technology Outreach Services (ITOS) of the University of Georgia. Updated data for 27 countries and 6 smaller geographic entities were assembled by Columbia University's Center for International Earth Science Information Network (CIESIN), with a focus largely on developing countries with the poorest data coverage.Documentation for the Global Roads Open Access Data Set, Version 1 (gROADSv1)Recommended CitationCenter for International Earth Science Information Network - CIESIN - Columbia University, and Information Technology Outreach Services - ITOS - University of Georgia. 2013. Global Roads Open Access Data Set, Version 1 (gROADSv1). Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4VD6WCT. Accessed DAY MONTH YEAR.

description: The Global Roads Open Access Data Set, Version 1 (gROADSv1) was developed under the auspices of the CODATA Global Roads Data Development Task Group. The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. All country road networks have been joined topologically at the borders, and many countries have been edited for internal topology. Source data for each country are provided in the documentation, and users are encouraged to refer to the readme file for use constraints that apply to a small number of countries. Because the data are compiled from multiple sources, the date range for road network representations ranges from the 1980s to 2010 depending on the country (most countries have no confirmed date), and spatial accuracy varies. The baseline global data set was compiled by the Information Technology Outreach Services (ITOS) of the University of Georgia. Updated data for 27 countries and 6 smaller geographic entities were assembled by Columbia University's Center for International Earth Science Information Network (CIESIN), with a focus largely on developing countries with the poorest data coverage.; abstract: The Global Roads Open Access Data Set, Version 1 (gROADSv1) was developed under the auspices of the CODATA Global Roads Data Development Task Group. The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. All country road networks have been joined topologically at the borders, and many countries have been edited for internal topology. Source data for each country are provided in the documentation, and users are encouraged to refer to the readme file for use constraints that apply to a small number of countries. Because the data are compiled from multiple sources, the date range for road network representations ranges from the 1980s to 2010 depending on the country (most countries have no confirmed date), and spatial accuracy varies. The baseline global data set was compiled by the Information Technology Outreach Services (ITOS) of the University of Georgia. Updated data for 27 countries and 6 smaller geographic entities were assembled by Columbia University's Center for International Earth Science Information Network (CIESIN), with a focus largely on developing countries with the poorest data coverage.

The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. The purpose is to provide an open access, well documented global data set of roads between settlements using a consistent data model (UNSDI-T v.2) which is, to the extent possible, topologically integrated.Dataset SummaryThe Global Roads Open Access Data Set, Version 1 (gROADSv1) was developed under the auspices of the CODATA Global Roads Data Development Task Group. The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. All country road networks have been joined topologically at the borders, and many countries have been edited for internal topology. Source data for each country are provided in the documentation, and users are encouraged to refer to the readme file for use constraints that apply to a small number of countries. Because the data are compiled from multiple sources, the date range for road network representations ranges from the 1980s to 2010 depending on the country (most countries have no confirmed date), and spatial accuracy varies. The baseline global data set was compiled by the Information Technology Outreach Services (ITOS) of the University of Georgia. Updated data for 27 countries and 6 smaller geographic entities were assembled by Columbia University's Center for International Earth Science Information Network (CIESIN), with a focus largely on developing countries with the poorest data coverage.Documentation for the Global Roads Open Access Data Set, Version 1 (gROADSv1)Recommended CitationCenter for International Earth Science Information Network - CIESIN - Columbia University, and Information Technology Outreach Services - ITOS - University of Georgia. 2013. Global Roads Open Access Data Set, Version 1 (gROADSv1). Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4VD6WCT. Accessed DAY MONTH YEAR.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. The University of Georgia Center for Geospatial Research agreed to analyze existing leaf-on color infrared (CIR) aerial photography to develop photointerpretation keys. Color infrared (CIR) aerial photographs of the park at 1:12,000 scale were acquired by Aero-Metric, Inc. on May 1, 2011. These photos were scanned and converted to digital orthophotographs at 0.3-meter (1 ft) resolution before being delivered to the NPS. Digital orthophotographs and hardcopy photographs in both film transparency and paper print formats were provided to UGA-CGR. A total of 12 photos in two flight lines were required to cover Horseshoe Bend NMP.

The Global Roads Open Access Data Set, Version 1 (gROADSv1) was developed under the auspices of the CODATA Global Roads Data Development Task Group. The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. All country road networks have been joined topologically at the borders, and many countries have been edited for internal topology. Source data for each country are provided in the documentation, and users are encouraged to refer to the readme file for use constraints that apply to a small number of countries. Because the data are compiled from multiple sources, the date range for road network representations ranges from the 1980s to 2010 depending on the country (most countries have no confirmed date), and spatial accuracy varies. The baseline global data set was compiled by the Information Technology Outreach Services (ITOS) of the University of Georgia. Updated data for 27 countries and 6 smaller geographic entities were assembled by Columbia University's Center for International Earth Science Information Network (CIESIN), with a focus largely on developing countries with the poorest data coverage.

The most frequent (mf) and least frequent (lf) 5′- context sequences of stop codons UAA, UAG and UGA) in different species.