Monthly Archives: March 2014
The NSF-funded Data Observation Network for Earth (DataONE) was introduced to D-Lib readers in the January/February issue of 2011.
DataONE has nearly concluded its five-year grant period and has produced a body of work examining practices and perceptions surrounding data sharing. Over the course of assessing communities of researchers, librarians, and others involved in the data life cycle, the DataONE assessments working group identified a new population of users: early adopters of data sharing infrastructure.
Using the Web 3.0 service “Figshare” as an exemplar, The University of Tennessee at Knoxville coordinated with Figshare’s founder to design an online survey exploring opinions and motivations of early adopters. Compared to earlier survey instruments drawing responses in the range of thousands, this survey drew a small sample size.
Nonetheless, the data provides insights, and a poster presented at UT’s 2014 College of Communication and Information Research Symposium offering a first glimpse of the data has captured interest online:
Given D-lib’s audience and early interest in DataONE, I have drafted a manuscript discussing the data at length and in context with the hope of publishing in D-Lib. The manuscript is 5,149 words, excluding the 200 word abstract, but including image captions (140 words) and headings (138 words).
Please find the manuscript for your consideration attached (Jessel-Birch-5150.docx). I have attempted to follow the conventions outlined by D-Lib, but realize I may have missed some points. I am happy to modify the manuscript as needed to make the article suitable for publication in D-Lib.
Environmental layers are available to the public via IRMA.
Source metadata are not available at http://tiny.utk.edu/atbi.
I have attempted to map or cross-walk the layers listed by the Simmerman et. al paper to the names of datasets available for download from IRMA.
Table. Mapping from UTK names to IRMA names.
|1||Soil Organic Type||Soil Classification||https://irma.nps.gov/App/Reference/Profile/2198007|
|2||Topographic Convergence Index||Topographic Wetness Index||https://irma.nps.gov/App/Reference/Profile/2208650|
|3||Solar Radiation Data||30 -m Potential Solar Radiation||https://irma.nps.gov/App/Reference/Profile/2208716|
|4||Terrain Shape Index||30-m Topographic Shape Index||https://irma.nps.gov/App/Reference/Profile/2208684|
|5||Terrain Shape Index||30-m Topographic Ruggedness Index Model||https://irma.nps.gov/App/Reference/Profile/2182017|
|6||Digital Elevation Model||30-m Lidar Digital Elevation Model||https://irma.nps.gov/App/Reference/Profile/2180606|
|7||Slope in Degrees||30-m Lidar Slope Model||https://irma.nps.gov/App/Reference/Profile/2180632|
|8||Understory Density Classes||Understory Vegetation at GRSM||https://irma.nps.gov/App/Reference/Profile/1047499|
|9||Leaf On Canopy Cover||Overstory Vegetation at GRSM||https://irma.nps.gov/App/Reference/Profile/1047498|
|10||Vegetation Classes Vegetation Classification||Great Smoky Mountains NP Vegetation Classification||https://irma.nps.gov/App/Reference/Profile/1021458|
Note: I am grateful to http://www.textfixer.com/html/csv-convert-table.php which made it possible to easily create this table from plain text. I expect to add this to my “toolkit” of useful items and it saved me a lot of time.
Poster presented at 2014 North Carolina Partners in Amphibian and Reptile Conservation Meeting.
- Jessel, Tanner; Super, Paul E.; Colson, Thomas (2014): Spatial Data Diversity Supporting Herpetological Research in Great Smoky Mountains National Park. figshare.
This is the PNG at http://seelab.eecs.utk.edu/alltaxa/maps/Abies_fraseri.png.
I used GIMP (GNU image manipulator) to remove the solid (non suitable) habitat.
I’m uploading the resultant image to this blog post: