Ichnologic and sedimentologic datasets from the Ediacaran–Cambrian Chapel island formation, Newfoundland, Canada

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Romain Gougeon , M. Gabriela Mángano , Luis A. Buatois , Guy M. Narbonne , Brittany A. Laing , Maximiliano Paz
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引用次数: 0

Abstract

Extensive ichnologic and sedimentologic datasets were gathered from six localities (Fortune Head, Fortune North, Grand Bank Head, Lewin's Cove, Little Dantzic Cove, and Point May) of the Ediacaran–Cambrian Chapel Island Formation at Burin Peninsula, southeastern Newfoundland, eastern Canada. 1708.2 m of sedimentary strata were logged at a centimeter scale (1:40) using a Jacob staff, in addition to 11.08 m of strata reported at a millimeter scale (1:1.67). Sedimentary logs focus on: (1) bed geometry; (2) bed thickness; (3) bed grain size; (4) sandstone/ mudstone ratio; and (5) sedimentary structures. For each log, trace-fossil datasets were reported, consisting of: (1) bioturbation intensity in cross-section (1596 data points); (2) bed surface bioturbation intensity (1481 data points); (3) stratigraphic position of individual trace fossils; (4) trace-fossil width (3164 data points); (5) trace-fossil depth (1539 data points); and (6) ichnotaxonomic classification (3510 trace fossils identified at ichnospecies rank). The datasets are of importance to researchers interested in the palaeoecological signals depicted in this classic Ediacaran–Cambrian succession or in the compilation of worldwide data for deciphering macro-evolutionary trends in early animal life.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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