Use the Alternative Fuels Data Center (AFDC) station locator to find compressed natural gas stations across the U.S.
Use the Alternative Fuels Data Center (AFDC) station locator to find electric fuel stations across the U.S.
A presentation by Bruce Heine of Magellan Midstream Partners to the 2006 Bioeconomy Conference held at Iowa State University.
A presentation by Andrea Grant of Independent Fuel Terminal Operators Association.
Search for and download detailed data on fueling stations for several different types of alternative fuels.
The Alternative Fuels Data Center (AFDC) Station Locator identifies E-85 Fuel station locations across the country.
The most frequently used climate classification map is that ofWladimir Köppen, presented in its latest version
1961 by Rudolf Geiger. A huge number of climate studies and subsequent publications adopted this or a
former release of the Köppen-Geiger map. While the climate classification concept has been widely applied
to a broad range of topics in climate and climate change research as well as in physical geography, hydrology,
agriculture, biology and educational aspects, a well-documented update of the world climate classification
In a previous paper we presented an update of the highly referenced climate classification map, that of Wladimir Koppen, which was published for the first time in 1900 and updated in its latest version by Rudolf Geiger in 1961. This updated world map of Koppen-Geiger climate classification was based on temperature and precipitation observations for the period 1951–2000.
Many investigators need and use global land cover maps for a wide variety of purposes. Ironically, after many years of very limited availability, there are now multiple global land cover maps and it is not readily apparent (1) which is most useful for particular applications or (2) how to combine the different maps to provide an improved dataset. The existing global land cover maps at 1 km spatial resolution have arisen from different initiatives and are based on different remote sensing data and employed different methodologies. Perhaps more significantly, they have different legends.