Automated Author ProfileMatzelle, Allison
Northeastern University
Matzelle, Allison
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.9 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
At a proximal level, the physiological impacts of global climate change on ectothermic organisms are manifest as changes in body temperatures. Especially for plants and animals exposed to direct solar radiation, body temperatures can be substantially different from air temperatures. We deployed biomimetic sensors that approximate the thermal characteristics of intertidal mussels at 71 sites worldwide, from 1998-present. Loggers recorded temperatures at 10–30 min intervals nearly continuously at multiple intertidal elevations. Comparisons against direct measurements of mussel tissue temperature indicated errors of ~2.0–2.5 °C, during daily fluctuations that often exceeded 15°–20 °C. Geographic patterns in thermal stress based on biomimetic logger measurements were generally far more complex than anticipated based only on ‘habitat-level’ measurements of air or sea surface temperature. This unique data set provides an opportunity to link physiological measurements with spatially- and temporally-explicit field observations of body temperature.
Authors
- Helmuth, Brian ;
- Choi, Francis ;
- Matzelle, Allison ;
- Torossian, Jessica L. ;
- Morella, Scott L. ;
- Mislan, K. A. S. ;
- Yamane, Lauren ;
- Strickland, Denise ;
- Szathmary, P. Lauren ;
- Gilman, Sarah ;
- Tockstein, Alyson ;
- Hilbish, Thomas J. ;
- Burrows, Michael T. ;
- Power, Anne Marie ;
- Gosling, Elizabeth ;
- Mieszkowska, Nova ;
- Harley, Christopher D. G. ;
- Nishizaki, Michael ;
- Carrington, Emily ;
- Menge, Bruce ;
- Petes, Laura ;
- Foley, Melissa M. ;
- Johnson, Angela ;
- Poole, Megan ;
- Noble, Mae M. ;
- Richmond, Erin L. ;
- Robart, Matthew ;
- Robinson, Jonathan ;
- Sapp, Jerod ;
- Sones, Jackie ;
- Broitman, Bernardo R. ;
- Denny, Mark W. ;
- Mach, Katharine J. ;
- Miller, Luke P. ;
- O’Donnell, Michael ;
- Ross, Philip ;
- Hofmann, Gretchen E. ;
- Zippay, Mackenzie ;
- Blanchette, Carol ;
- Macfarlan, J. A. ;
- Carpizo-Ituarte, Eugenio ;
- Ruttenberg, Benjamin ;
- Peña Mejía, Carlos E. ;
- McQuaid, Christopher D. ;
- Lathlean, Justin ;
- Monaco, Cristián J. ;
- Nicastro, Katy R. ;
- Zardi, Gerardo