Dataset: NanoSIMS measurements of skeletal organic matrix and aragonite extension in lab-grown scleractinian cold-water corals from February of 2022 to July 2023

This dataset has not been validatedData not availableVersion 1 (2025-04-29)Dataset Type:experimental

Principal Investigator: Anne M. Gothmann (Saint Olaf College)

Scientist: John Cliff (Environmental Molecular Sciences Laboratory)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Refining the use of scleractinian cold-water coral skeleton-bound d15N as a proxy for marine N cycling (Coral-bound N)


Abstract

This dataset contains both raw and processed NanoSIMS Data from analyses of cold-water coral skeletons. Data were collected using both cesium and oxygen ion beams in order to collect trace elements (both cations and anions). The raw data are included as .chk_im and .im files, which are data files output by Cameca's proprietary software. The processed data take the form of image files and matrices that provide quantitative and qualitative chemical image maps. The data were collected between Febru...

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Cameca NanoSIMS 50L at the Environmental Molecular Sciences Laboratory at the Pacific Northwest National Lab (PNNL). In addition to NanoSIMS analyses of our experimental and control samples, we also analyzed regions of samples that were only naturally grown. Using both O-  (RF-plasma) and Cs+ source beams, we reconstructed 35 x 35 μm2 maps of elemental and isotope ratios. Specifically, negative ions collected included 12C14N-, 12C15N-, 12C-, 12C2-, and 32S-. Positive ions included 6Li+, 23Na+, 24Mg+, 39K+, 44Ca+, 55Mn+, and 88Sr+. The primary beam current was 3pA for Cs+ and 10 pA for O- with a 3 ms dwell time per pixel. In order to standardize the N isotope composition of measured corals, natural abundance yeast standards were measured at the beginning of each day of Cs+ analyses. No presputtering was used, but data were collected in a series of 6-8 planes, such that it was possible to remove frames associated with gold coating or with signs of surface contamination (usually indicated by high Na signals or low 12C signals). Each NanoSIMS image stack consisted of 3-8 planes, depending on the number removed due to surface contamination, which were drift-corrected and summed to generate a single image for each secondary ion species detected. 

Live B. elegans adults for this study were collected near Friday Harbor Labs, San Juan Island, Washington, USA in December 2020 at a depth of ~10 m by divers. Individuals were secured using flexible PVC tubes in seawater-filled plastic containers and shipped overnight with ice packs to Minnesota for coral culturing. Upon arrival at St. Olaf College, corals were kept in artificial seawater-filled bottles and planulae appeared in bottles almost immediately. After larvae settled and metamorphosed, both juvenile corals and adults were allowed to recover for ~6 months in plastic, artificial seawater-filled bottles and fed Artemia salina nauplii 2x weekly.


Related Datasets

Software

Dataset: https://doi.org/10.5281/zenodo.15270676
Gothmann, A. (2025). agothmann/ImageAnalysis_CWC_NanoSIMS: Calculating co-occurrence from NanoSIMS Chemical Images (NanoSIMS_CoOccurence) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.15270676

Related Publications

Results

A.M. Gothmann, J. Daniel, Y. Chan , P. Diaz , J.B. Cliff, L. Polerecky, J. Granger, J.L. Mottram, M. Prokopenko , L. Boehm Vock , A. Logan, N. Mersy, T. Smith, J. Stolarski . (n.d.) NanoSIMS mapping of skeletal organic matrix and aragonite formation in a scleractinian cold-water coral. Geochimica et Cosmochimica Acta. In Review.
Methods

Polerecky, L. (2012). Look@NanoSIMS User’s manual (version 24-04-2012). Made available by author Lubos Polerecky, Max-Planck Institute for Marine Microbiology, Bremen, Germany through Dropbox. Accessible on April 29th, 2025 from https://www.dropbox.com/scl/fo/c187i9lk38it6poi78e77/ABY2eMuEphJhfmfdvm7CXzw/manual?dl=0&preview=LANS-manual.pdf&rlkey=nck17vtdq7pddkzdxefuvc5l0&subfolder_nav_tracking=1
Methods

Polerecky, L., Adam, B., Milucka, J., Musat, N., Vagner, T., & Kuypers, M. M. M. (2012). Look@NanoSIMS – a tool for the analysis of nanoSIMS data in environmental microbiology. Environmental Microbiology, 14(4), 1009–1023. Portico. https://doi.org/10.1111/j.1462-2920.2011.02681.x
Software

MathWorks (2022), R2022a at a Glance, The Mathworks, Inc. Retrieved from https://www.mathworks.com/products/new_products/release2022a.html