Balk, Meghan A., Deck, John, Emery, Kitty F., Walls, Ramona L., Reuter, Dana, LaFrance, Raphael, Arroyo-Cabrales, Joaquín, Barrett, Paul, Blois, Jessica, Boileau, Arianne, Brenskelle, Laura, Cannarozzi, Nicole R., Cruz, J. Alberto, Dávalos, Liliana M., de la Sancha, Noé U., Gyawali, Prasiddhi, Hantak, Maggie M., Hopkins, Samantha, Kohli, Brooks, King, Jessica N., Koo, Michelle S., Lawing, A. Michelle, Machado, Helena, McCrane, Samantha M., McLean, Bryan, Morgan, Michèle E., Pilaar Birch, Suzanne, Reed, Denne, Reitz, Elizabeth J., Sewnath, Neeka, Upham, Nathan S., Villaseñor, Amelia, Yohe, Laurel, Davis, Edward B., and Guralnick, Robert P. A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data. Retrieved from https://par.nsf.gov/biblio/10389717. iScience 25.10 Web. doi:10.1016/j.isci.2022.105101.

Balk, Meghan A., Deck, John, Emery, Kitty F., Walls, Ramona L., Reuter, Dana, LaFrance, Raphael, Arroyo-Cabrales, Joaquín, Barrett, Paul, Blois, Jessica, Boileau, Arianne, Brenskelle, Laura, Cannarozzi, Nicole R., Cruz, J. Alberto, Dávalos, Liliana M., de la Sancha, Noé U., Gyawali, Prasiddhi, Hantak, Maggie M., Hopkins, Samantha, Kohli, Brooks, King, Jessica N., Koo, Michelle S., Lawing, A. Michelle, Machado, Helena, McCrane, Samantha M., McLean, Bryan, Morgan, Michèle E., Pilaar Birch, Suzanne, Reed, Denne, Reitz, Elizabeth J., Sewnath, Neeka, Upham, Nathan S., Villaseñor, Amelia, Yohe, Laurel, Davis, Edward B., & Guralnick, Robert P. A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data. iScience, 25 (10). Retrieved from https://par.nsf.gov/biblio/10389717. https://doi.org/10.1016/j.isci.2022.105101

Balk, Meghan A., Deck, John, Emery, Kitty F., Walls, Ramona L., Reuter, Dana, LaFrance, Raphael, Arroyo-Cabrales, Joaquín, Barrett, Paul, Blois, Jessica, Boileau, Arianne, Brenskelle, Laura, Cannarozzi, Nicole R., Cruz, J. Alberto, Dávalos, Liliana M., de la Sancha, Noé U., Gyawali, Prasiddhi, Hantak, Maggie M., Hopkins, Samantha, Kohli, Brooks, King, Jessica N., Koo, Michelle S., Lawing, A. Michelle, Machado, Helena, McCrane, Samantha M., McLean, Bryan, Morgan, Michèle E., Pilaar Birch, Suzanne, Reed, Denne, Reitz, Elizabeth J., Sewnath, Neeka, Upham, Nathan S., Villaseñor, Amelia, Yohe, Laurel, Davis, Edward B., and Guralnick, Robert P. "A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data". iScience 25 (10). Country unknown/Code not available. https://doi.org/10.1016/j.isci.2022.105101. https://par.nsf.gov/biblio/10389717.

@article{osti_10389717,
place = {Country unknown/Code not available}, title = {A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data}, url = {https://par.nsf.gov/biblio/10389717}, DOI = {10.1016/j.isci.2022.105101}, abstractNote = {}, journal = {iScience}, volume = {25}, number = {10}, author = {Balk, Meghan A. and Deck, John and Emery, Kitty F. and Walls, Ramona L. and Reuter, Dana and LaFrance, Raphael and Arroyo-Cabrales, Joaquín and Barrett, Paul and Blois, Jessica and Boileau, Arianne and Brenskelle, Laura and Cannarozzi, Nicole R. and Cruz, J. Alberto and Dávalos, Liliana M. and de la Sancha, Noé U. and Gyawali, Prasiddhi and Hantak, Maggie M. and Hopkins, Samantha and Kohli, Brooks and King, Jessica N. and Koo, Michelle S. and Lawing, A. Michelle and Machado, Helena and McCrane, Samantha M. and McLean, Bryan and Morgan, Michèle E. and Pilaar Birch, Suzanne and Reed, Denne and Reitz, Elizabeth J. and Sewnath, Neeka and Upham, Nathan S. and Villaseñor, Amelia and Yohe, Laurel and Davis, Edward B. and Guralnick, Robert P.}, }