Mitochondrial haplotypes reveal low diversity and restricted connectivity in the critically endangered batoid population of a Marine Protected Area

ACKNOWLEDGEMENTS This study was supported by NatureScot, Scottish Government project SP02B, a Heredity Fieldwork Grant of the Genetics Society, and Save Our Seas Foundation project SOSF 470. We would like to thank Leigh Taylor, Ronnie Campbell and Roger Eaton for skippering the sampling charters in the Marine Protected Area and all anglers who provided skate recapture data. Thanks to Fenella Wood and Danielle Sloan for assisting on charter trips. Further, thanks go to Marine Scotland Science (Francis Neat), the Centre for Environment Fisheries and Aquaculture Science (Vicky Bendall and Stewart Hetherington), and the University of St Andrews for providing tissue samples and Lauren Smith and Dan Wise for contributing samples of egg cases.Peer reviewedPublisher PD

PaCTS 1.0: a crowdsourced reporting standard for paleoclimate data

The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. Accordingly, the lack of community-sanctioned data standards in paleoclimatology has largely precluded the benefits of Big Data advances in the field. Building upon recent efforts to standardize the format and terminology of paleoclimate data, this article describes the Paleoclimate Community reporTing Standard (PaCTS), a crowdsourced reporting standard for such data. PaCTS captures which information should be included when reporting paleoclimate data, with the goal of maximizing the reuse value of paleoclimate datasets, particularly for synthesis work and comparison to climate model simulations. Initiated by the LinkedEarth project, the process to elicit a reporting standard involved an international workshop in 2016, various forms of digital community engagement over the next few years, and grassroots working groups. Participants in this process identified important properties across paleoclimate archives, in addition to the reporting of uncertainties and chronologies; they also identified archive-specific properties and distinguished reporting standards for new vs. legacy datasets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate datasets. Since such goals are at odds with present practices, we discuss a transparent path towards implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches