Science Enabled by Specimen Data

Ramírez, F., V. Sbragaglia, K. Soacha, M. Coll, and J. Piera. 2022. Challenges for Marine Ecological Assessments: Completeness of Findable, Accessible, Interoperable, and Reusable Biodiversity Data in European Seas. Frontiers in Marine Science 8. https://doi.org/10.3389/fmars.2021.802235

The ongoing contemporary biodiversity crisis may result in much of ocean’s biodiversity to be lost or deeply modified without even being known. As the climate and anthropogenic-related impacts on marine systems accelerate, biodiversity knowledge integration is urgently required to evaluate and monit…

Hughes, A. C., M. C. Orr, K. Ma, M. J. Costello, J. Waller, P. Provoost, Q. Yang, et al. 2021. Sampling biases shape our view of the natural world. Ecography 44: 1259–1269. https://doi.org/10.1111/ecog.05926

Spatial patterns of biodiversity are inextricably linked to their collection methods, yet no synthesis of bias patterns or their consequences exists. As such, views of organismal distribution and the ecosystems they make up may be incorrect, undermining countless ecological and evolutionary studies.…

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

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