Science Enabled by Specimen Data

Zizka, A., Antunes Carvalho, F., Calvente, A., Rocio Baez-Lizarazo, M., Cabral, A., Coelho, J. F. R., … Antonelli, A. (2020). No one-size-fits-all solution to clean GBIF. PeerJ, 8, e9916. doi:10.7717/peerj.9916 https://doi.org/10.7717/peerj.9916

Species occurrence records provide the basis for many biodiversity studies. They derive from georeferenced specimens deposited in natural history collections and visual observations, such as those obtained through various mobile applications. Given the rapid increase in availability of such data, th…

Oegelund Nielsen, R., da Silva, R., Juergens, J., Staerk, J., Lindholm Sørensen, L., Jackson, J., … Conde, D. A. (2020). Standardized data to support conservation prioritization for sharks and batoids (Elasmobranchii). Data in Brief, 33, 106337. doi:10.1016/j.dib.2020.106337 https://doi.org/10.1016/j.dib.2020.106337

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Li, X., Li, B., Wang, G., Zhan, X., & Holyoak, M. (2020). Deeply digging the interaction effect in multiple linear regressions using a fractional-power interaction term. MethodsX, 7, 101067. doi:10.1016/j.mex.2020.101067 https://doi.org/10.1016/j.mex.2020.101067

In multiple regression Y ~ β0 + β1X1 + β2X2 + β3X1 X2 + ɛ., the interaction term is quantified as the product of X1 and X2. We developed fractional-power interaction regression (FPIR), using βX1M X2N as the interaction term. The rationale of FPIR is that the slopes of Y-X1 regression along the X2 gr…