Parton, William2007-01-032007-01-031969-2010http://hdl.handle.net/10217/82146http://dx.doi.org/10.25675/10217/82146Natural Resource Ecology Laboratory (NREL)Shortgrass Steppe-Long Term Ecological Research (SGS-LTER)This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The objective of this study is to collect baseline meteorological data for the CPER. Datasets auto12_climdb and man11_climdb have been processed for quality and missing values.ZIPPDFTXTXMLengData sets were provided by the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Program, a partnership between Colorado State University, United States Department of Agriculture, Agricultural Research Service, and the U.S. Forest Service Pawnee National Grassland. Significant funding for these data was provided by the National Science Foundation Long Term Ecological Research program (NSF Grant Number DEB-1027319). The SGS-LTER project (1980-2014) was established as one of the first sites in the US LTER Network and has produce a rich legacy of digital materials including reports, proposals, images, and data packages. Data, products and other information produced from the SGS-LTER are curated as a collection within the Repository (http://hdl.handle.net/10217/100254). Materials can be accessed from the Institutional Digital Repository of Colorado State University or upon request by emailing ecodata_nrel@colostate.edu. All data are open for dissemination and re-use for any purpose, but you must attribute credit to the owner and cite use appropriately according to the LTER Data Access Policy (http://www.lternet.edu/policies/data-access).weathertemperaturewindradiationevaporationinorganic nutrientscloud coverwaterprecipitationmeteorologyclimateDataset