Title- EAGER: Characterization of Potentially Jurassic-Age Mummified Organic Material, Ellesmere Island, Canada. Author(s)- Joel Barker School of Earth Sciences Ohio State University Columbus, OH 43221, U.S.A. barker.246@osu.edu (614) 292-3041 http://bprc.osu.edu/~barker.246/BARKER_website/Barker_Lab.html Yu-Ping Chin School of Earth Sciences Ohio State University Columbus, OH 43221, U.S.A. (614) 292-6953 Funding Source and Grant Number- National Science Foundation (ARC 1026177) Data Set Overview- We document the characteristics and constrain the age of a newly discovered mummified forest deposit in Quttinirpaaq National Park, Ellesmere Island, Canada. Analyses include palynological characterization, tree identification, and leaf identification. Preliminary entomological identification is also included, although this analysis is ongoing. Results indicate that the deposit is more recent than the Jurassic aged matrix which hosts the macrofossils, and most likely represents the remains of a boreal-type forest. More information about the project may be viewed on the PIs website: (http://bprc.osu.edu/~barker.246/BARKER_website/Barker_Lab.html) Instrument Description- n/a Data collection and processing- Bulk sediment and wood samples were collected in the field and transported to the Ohio State University for processing. Wood samples were sampled and sent to the University of Minnesota (Forest Pathology) for identification. Palynological samples were submitted for analysis at 2 independent laboratories in Calgary, Canada (Dr. David McIntyre and Dr. Jancis Ford (Ford Biostratigraphic Services)). Macrofossil identification was conducted by examining bulk sediment samples under magnification. A sub-sample of bulk sediment was submitted to PALEOTEC Services (Ottawa, Ontario, Canada) for independent macrofossil identification. Data Format- JPEG and accompanying PDF file descriptor (Data Description.pdf) Data Remarks- The majority of the data collected and macrofossil identification is qualitative. Where possible we had data checked by multiple independent laboratories. Independent analyses agreed with each other which increases our confidence in the site characterization. All data may be viewed using Adobe Acrobat and any standard image viewer.