Search Constraints
Filtering by:
Creator
Messersmith, James David
Remove constraint Creator: Messersmith, James David
License
Attribution 4.0 (CC BY 4.0)
Remove constraint License: Attribution 4.0 (CC BY 4.0)
1 - 9 of 9
Number of results to display per page
Search Results
-
- Creator:
- Roon, David A., Wipfli, Mark S., and Kruse, James J.
- Abstract:
- Invasive species in riparian forests are unique as their effects can transcend ecosystem boundaries via stream-riparian linkages. The green alder sawfly (Monsoma pulveratum) is an invasive wasp whose larvae are defoliating riparian thin-leaf alder (Alnus tenuifolia) stands across southcentral Alaska. To test the hypothesis that riparian defoliation by this invasive...
- Resource Type:
- Article
- Full Text:
- invasive green alder sawfly influences terrestrial prey subsidies to salmon streams David A. Roon1
-
- Creator:
- Kanda, Kojun, Pflug, James M., Sproul, John S., Dasenko, Mark A., and Maddison, David R.
- Abstract:
- Correction: 7 Mar 2016: The PLOS ONE Staff (2016) Correction: Successful Recovery of Nuclear Protein-Coding Genes from Small Insects in Museums Using Illumina Sequencing. PLOS ONE 11(3): e0151124. https://doi.org/10.1371/journal.pone.0151124
- Resource Type:
- Article
- Full Text:
- ☯, Mark A. Dasenko2, David R. Maddison1☯ 1 Department of Integrative Biology, Oregon State University
-
- Creator:
- Dee, Sylvia G., Nusbaumer, Jesse, Bailey, Adriana, Russell, James M., Lee, Jung-Eun, Konecky, Bronwen, Buenning, Nikolaus H., and Noone, David C.
- Abstract:
- General circulation models (GCMs) predict that the global hydrological cycle will change in response to anthropogenic warming. However, these predictions remain uncertain, in particular, for precipitation (Intergovernmental Panel on Climate Change, 2013, https://doi .org/10.1017/CB09781107415324.004). Held and Soden (2006, https://doi.org/10.1175/JCLI3990.1) suggest that as lower tropospheric water vapor concentration increases in a...
- Resource Type:
- Article
- Full Text:
- David C. Noone9 1Department of Earth, Environmental, and Planetary Sciences, Brown University
-
- Creator:
- Rockweit, Jeremy T., Jenkins, Julianna M. A., Hines, James E., Nichols, James D., Dugger, Katie M., Franklin, Alan B., Carlson, Peter C., Kendall, William L., Lesmeister, Damon B., McCafferty, Christopher, Ackers, Steven H., Andrews, L. Steven, Bailey, Larissa L., Burgher, Jesse, Burnham, Kenneth P., Chestnut, Tara, Conner, Mary M., Dilione, Krista E., Davis, Raymond J., Forsman, Eric D., Glenn, Elizabeth M., Gremel, Scott A., Hamm, Keith A., Herter, Dale R., Higley, J. Mark, Horn, Rob B., Lamphear, David W., McDonald, Trent L., Reid, Janice A., Schwarz, Carl J., Simon, David C., Sovern, Stan G., Swingle, James K., Wiens, J. David, Wise, Heather, and Yackulic, Charles B.
- Abstract:
- These datasets were used in the prospective meta-analysis of northern spotted owl reproductive rates over 25 years across 11 study areas located throughout the range of the owl. A multi-state occupancy file was created by collapsing site-specific information on owl reproductive status into bimonthly (2 per month) survey occasions. These...
- Resource Type:
- Dataset
-
- Creator:
- Rockweit, Jeremy T., Jenkins, Julianna M. A., Hines, James E., Nichols, James D., Dugger, Katie M., Franklin, Alan B., Carlson, Peter C., Kendall, William L., Lesmeister, Damon B., McCafferty, Christopher, Ackers, Steven H., Andrews, L. Steven, Bailey, Larissa L., Burgher, Jesse, Burnham, Kenneth P., Chestnut, Tara, Conner, Mary M., Dilione, Krista E., Davis, Raymond J., Forsman, Eric D., Glenn, Elizabeth M., Gremel, Scott A., Hamm, Keith A., Herter, Dale R., Higley, J. Mark, Horn, Rob B., Lamphear, David W., McDonald, Trent L., Reid, Janice A., Schwarz, Carl J., Simon, David C., Sovern, Stan G., Swingle, James K., Wiens, J. David, Wise, Heather, and Yackulic, Charles B.
- Abstract:
- These datasets were used in the prospective meta-analysis of northern spotted owl reproductive rates over 25 years across 11 study areas located throughout the range of the owl. A multi-state occupancy file was created by collapsing site-specific information on owl reproductive status into bimonthly (2 per month) survey occasions. These...
- Resource Type:
- Dataset
-
- Creator:
- Rockweit, Jeremy T, Jenkins, Julianna M. A., Hines, James E., Nichols, James D., Dugger, Katie M., Franklin, Alan B., Carlson, Peter C., Kendall, William L., Lesmeister, Damon B., McCafferty, Christopher, Ackers, Steven H., Andrews, L. Steven, Bailey, Larissa L., Burgher, Jesse, Burnham, Kenneth P., Chestnut, Tara, Conner, Mary M., Dilione, Krista E., Davis, Raymond J., Forsman, Eric D., Glenn, Elizabeth M., Gremel, Scott A., Hamm, Keith A., Herter, Dale R., Higley, J. Mark, Horn, Rob B., Lamphear, David W., McDonald, Trent L., Reid, Janice A., Schwarz, Carl J., Simon, David C., Sovern, Stan G., Swingle, James K., Wiens, J. David, Wise, Heather, and Yackulic, Charles B.
- Abstract:
- These datasets were used in the prospective meta-analysis of northern spotted owl reproductive rates over 25 years across 11 study areas located throughout the range of the owl. A multi-state occupancy file was created by collapsing site-specific information on owl reproductive status into bimonthly (2 per month) survey occasions. These...
- Resource Type:
- Dataset
- Date Created:
- 2021-06-11
-
- Creator:
- Finegan, Donal P., Tudisco, Erika, Scheel, Mario, Robinson, James B., Taiwo, Oluwadamilola O., Eastwood, David S., Lee, Peter D., Di Michiel, Marco, Bay, Brian, Hall, Stephen A., Hinds, Gareth, Brett, Dan J. L., and Shearing, Paul R.
- Abstract:
- Tracking the dynamic morphology of active materials during operation of lithium batteries is essential for identifying causes of performance loss. Digital volume correlation (DVC) is applied to high-speed operando synchrotron X-ray computed tomography of a commercial Li/MnO₂ primary battery during discharge. Real-time electrode material displacement is captured in 3D allowing...
- Resource Type:
- Article
- Full Text:
- , Oluwadamilola O. Taiwo , David S. Eastwood , Peter D. Lee , Marco
-
- Creator:
- Deans, Andrew R., Lewis, Suzanna E., Huala, Eva, Anzaldo, Salvatore S., Ashburner, Michael, Balhoff, James P., Blackburn, David C., Blake, Judith A., Burleigh, J. Gordon, Chanet, Bruno, Cooper, Lauren D., Courtot, Mélanie, Csösz, Sándor, Cul, Hong, Dahdul, Wasila, Das, Sandip, Dececchi, T. Alexander, Dettal, Agnes, Diogo, Rui, Druzinsky, Robert E., Dumontier, Michel, Franz, Nico M., Friedrich, Frank, Gkoutos, George V., Haendel, Melissa, Harmon, Luke J., Hayamizu, Terry F., He, Yongqun, Hines, Heather M., Ibrahim, Nizar, Jackson, Laura M., Jaiswal, Pankaj, James-Zorn, Christina, Köhler, Sebastian, Lecointre, Guillaume, Lapp, Hilmar, Lawrence, Carolyn J., Le Novère, Nicolas, Lundberg, John G., Macklin, James, Mast, Austin R., Midford, Peter E., Mikó, István, Mungall, Christopher J., Oellrich, Anika, Osumi-Sutherland, David, Parkinson, Helen, Ramírez, Martín J., Richter, Stefan, Robinson, Peter N., Ruttenberg, Alan, Schulz, Katja S., Segerdell, Erik, Seltmann, Katja C., Sharkey, Michael J., Smith, Aaron D., Smith, Barry, Specht, Chelsea D., Squires, R. Burke, Thacker, Robert W., Thessen, Anne, Fernandez-Triana, Jose, Vihinen, Mauno, Vize, Peter D., Vogt, Lars, Wall, Christine E., Walls, Ramona L., Westerfeld, Monte, Wharton, Robert A., Wirkner, Christian S., Woolley, James B., Yoder, Matthew J., Zorn, Aaron M., and Mabee, Paula
- Abstract:
- Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across...
- Resource Type:
- Article
- Full Text:
- . Lewis2, Eva Huala3,4, Salvatore S. Anzaldo5, Michael Ashburner6, James P. Balhoff7, David C. Blackburn8
-
AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture
- Creator:
- Harper, Lisa, Campbell, Jacqueline, Cannon, Steve, Carson, James, Condon, Bradford, Cooper, Laurel, Dunn, Nathan, Elsik, Christine G., Farmer, Andrew, Ficklin, Stephen P., Grant, David, Grau, Emily, Cannon, Ethalinda K. S., Herndon, Nic, Hu, Zhi-Liang, Humann, Jodi, Jaiswal, Pankaj, Jonquet, Clement, Laporte, Marie-Angelique, Larmande, Pierre, Lazo, Gerard, McCarthy, Fiona, Menda, Naama, Jung, Sook, Mungall, Christopher J., Munoz-Torres, Monica C., Naithani, Sushma, Nelson, Rex, Nesdill, Daureen, Park, Carissa, Reecy, James, Reiser, Leonore, Sanderson, Lacey-Anne, Sen, Taner Z., Poelchau, Monica, Staton, Margaret, Subramaniam, Sabarinath, Tello-Ruiz, Marcela Karey, Unda, Victor, Unni, Deepak, Wang, Liya, Ware, Doreen, Wegrzyn, Jill, Williams, Jason, Woodhouse, Margaret, Walls, Ramona, Yu, Jing, Main, Doreen, Andorf, Carson, Arnaud, Elizabeth, Berardini, Tanya Z., and Birkett, Clayton
- Abstract:
- The future of agricultural research depends on data. The sheer volume of agricultural biological data being produced today makes excellent data management essential. Governmental agencies, publishers and science funders require datamanagement plans for publicly funded research. Furthermore, the value of data increases exponentially when they are properly stored, described, integrated...
- Resource Type:
- Article
- Full Text:
- , Andrew Farmer14, Stephen P. Ficklin3, David Grant1, Emily Grau14, Nic Herndon15, Zhi-Liang Hu16, Jodi