14:I[71133,["4507","static/chunks/e2799680-446c489506865058.js","7665","static/chunks/7665-81c5407bc4489ff9.js","8500","static/chunks/8500-e4dd1cb1bb626827.js","9753","static/chunks/9753-028c0a26aa71f2d4.js","8437","static/chunks/8437-a09d0b83fcec76af.js","4557","static/chunks/4557-64c5efa221bc528f.js","947","static/chunks/947-410627998426400f.js","5357","static/chunks/5357-6142894e88cb7da2.js","8382","static/chunks/app/dataset/%5Bid%5D/data/view/page-177ea8adea7aed86.js"],"default"] 15:Teae,

Collection and analysis of "live" (unprocessed) water samples and separate preserved water samples for assessment of potential toxin-producing phytoplankton was done monthly. Samples were processed by Dr. Eli Meyer of Aquabiomics Inc. (Junction City, OR), by Dr. Ralph Elston of Aquatechnics (Carlsborg, WA), by Dr. Maria Kavanaugh of OSU's College of Earth, Ocean, and Atmospheric Sciences (Seascape Ecology Lab), and Dr. Manuel Garcia-Jaramillo in the Department of Environmental and Molecular Toxicology at OSU.

Mussel counts: All dead mussels within specific mussel beds were located and counted on each sampling date at each site. When mussel length was measured, it was total shell length in centimeters.

Mussel disturbance: Disturbed patches are obvious as gaps in the mussel bed showing bare rock and byssal threads left behind by the mussels torn loose by wave action. Disturbances were simply counted in each of the specific mussel beds listed.

Histology: To gain insight into mussel condition, in July 2023, twenty mussels from Fogarty Creek, ranging in shell length from 50 to 130 millimeters (mm) were examined histologically. We followed these with samples of five mussels each from five sites (FC, BB, YB, SH, and TK) in August, September, and October 2023 and June 2024. Mussels were dissected from their shells, preserved in formalin, and shipped to AquaTechnics Inc., in Sequim, Washington for processing. Sections were inspected for evidence of abnormal conditions of the digestive tubules and kidneys.

For LC-MS sampling, mussel tissue samples for the determination of toxin content using Liquid Chromatography-Mass Spectrometry (LC-MS) (King et al. 2021) (available in OSU's Mass Spectrometry center) were collected from September to December 2023. Sample size was 3 field sites (one per cape) x 3 mussels x 4 seasons = 36 mussels. Liquid chromatography was performed using an Acquity UPLC BEH C18 column (1.7 µm, 2.1 × 50 mm). Mobile phase A consisted of 6.7 mM ammonium hydroxide in water, and mobile phase B consisted of 6.7 mM ammonium hydroxide in acetonitrile. A 6-minute gradient method was used with the following conditions: 0–0.5 min, 70% A / 30% B; 3.5 min, 10% A / 90% B; and 4.1–6.0 min, 70% A / 30% B. The flow rate was 0.500 mL/min, the column temperature was maintained at 40 °C, and the injection volume was 3 µL. The retention time was 5.072 minutes.

Mass spectrometry was performed in negative ionization mode with a mass range of 50–1160 Da. Ion source gas pressures were set to 45 and 40 psi, the curtain gas pressure was 35 psi, the source temperature was 500 °C, the declustering potential was −80 V, the collision energy was −10 V, and the scan time was 0.518 s. An inclusion list containing yessotoxin (m/z = 1141.4700 Da) and 45-hydroxy-yessotoxin (m/z = 1157.4700 Da) was used. Instrument output consists of the intensity of the analyte m/z at its corresponding retention time. Extracted ion chromatograms (XICs) were generated by filtering the data by the target m/z values. Peaks in the XICs were integrated to obtain peak area, which was used to calculate analyte concentration based on the calibration curve.

A calibration curve was generated using standards at 10, 25, 50, 75, and 100 ppb. The limit of detection (LOD) and limit of quantification (LOQ) were determined using replicate injections of the 10 ppb standard. Using this method, all mussel sample extracts contained toxin concentrations below the LOD. Mussel tissue concentrations of yessotoxin were below 0.15 µg YTX/g mussel.

Histology and toxicology data are not spreadsheets but rather reports (see Supplemental Files). Relevant information is included in each report.

16:T5d6,- Imported site metadata from "Copy of 6590_menge_site_descrip.xlsx" (sheet 1) into the BCO-DMO system (site list). - Imported dead mussel count data from "Dead mussel counts_summer 2023.xlsx" (sheet 1) into the BCO-DMO system. - Treated "." and "na" as missing data values (missing values are empty/blank in the final CSV file). - Joined the site list to the dead mussel count data matching on site code, adding fields: "site_lat", "site_lon", and "site_name". - Converted "Date" field from format "%m-%d-%y" to ISO date format "%Y-%m-%d". - Imported disturbance comparison data from "Comparison of disturbance number 2023 to 2024.xlsx" (sheet 1) into the BCO-DMO system. - Joined the site list to the disturbance comparison data matching on site code, adding fields: "site_lat", "site_lon", and "site_name". - Imported dead mussel shell length data from "Dead Mussel sizes_shell length_cm.xlsx" (sheet 1) into the BCO-DMO system. - Joined the site list to the dead mussel shell length data matching on site code, adding fields: "site_lat", "site_lon", and "site_name". - Converted Date field in shell length file from "%m-%d-%y" to ISO date format "%Y-%m-%d". - Renamed fields in all files to comply with BCO-DMO naming conventions. - Saved the final primary data file as "994306_v1_dead_mussel_counts_2023.csv". - Saved the final supplemental files "994306_v1_supplemental_comparison_of_disturbance_2023_2024.csv" and "994306_v1_supplemental_dead_mussel_shell_length.csv".17:Tabe,NSF Award Abstract: On temperate rocky shores, mussels are a 'foundation' species, serving as prey for multiple predators, able to filter particles out of huge volumes of water, and harboring hundreds of other species, thereby serving a central role in community function. Hence, threats to their abundance and persistence are of significant ecological and societal concern. Past research has shown that mussels are highly resilient and well-adapted to acute, short-lived stresses such as disturbance from winter storms or short-term warming. In summer 2023, a novel pattern of mortality was discovered during routine field research: high numbers of dead mussels, many with tissue remaining in the shell were observed in a scattered pattern. That is, rather than a mass mortality (i.e., all mussels in a large area are killed), single dead mussels surrounded by live and apparently healthy mussels occurred, with multiple dead individuals per square meter. This project investigates the cause of the mortality event, which preliminary data suggests may be a harmful algal bloom. The project also builds capacity by supporting research training for several undergraduate students and informs the public and resource managers about an emerging threat to the stability of rocky intertidal ecosystems. The hypothesis under investigation is that the 2023 'scattered' mortality event at 8 study sites along the Oregon and northern California coasts affecting the rocky intertidal dominant, Mytilus californianus, may be an unusual consequence of a harmful algal bloom. During this event, densities of dead mussels have ranged from 0.7 to 10.6/m2. This novel pattern contrasts with typical mass mortalities of organisms where all individuals within a specific site or area die due to (e.g.) thermal stress or severe storms. The scattered mortality pattern persisted through late September 2023. Preliminary histological evidence suggests the ability of mussels to digest food is being suppressed, most likely by a water-borne toxin. To investigate the cause of the mortality event, the team is (1) collecting monthly (a) water samples for identification of dinoflagellate species and (b) mussel tissue samples for histological investigation of digestive and kidney tissues and high performance liquid chromatography and mass spectrometry analyses for the presence of algal-derived toxins; (2) continuing mussel bed surveys to determine the seasonality of the mortality event; and (3) quantifying mussel bed persistence through winter storms at sites with higher or lower rates of mortality. This research advances understanding of community responses to intense environmental stresses and how these might influence the future of rocky intertidal ecosystems.6:["$","$L14",null,{"dataset":{"_id":"994306","description":"","problem":"","acquisition":"$15","processing":"","bcodmoProcessing":"$16","title":"Counts of dead mussels, shell lengths of dead mussels, toxin data from LCMS, and histological results from mussel tissue from rocky intertidal sites on the Oregon coast in 2023 and 2024","nickname":"Observational mussel disturbance data","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2026-04-07T04:00:00.000Z","abstract":"This data set includes counts of dead mussels, shell lengths of dead mussels, toxin data from LCMS, and histological results from mussel tissue. Samples were collected in waters near study sites along the rocky intertidal on the Oregon coast. 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Sampling site latitude

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Sampling site longitude

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density, in mass per unit volume

"}}],"related_publications":[{"id":"1009370","citation":"King, T. L., Nguyen, N., Doucette, G. J., Wang, Z., Bill, B. D., Peacock, M. B., Madera, S. L., Elston, R. A., & Trainer, V. L. (2021). Hiding in plain sight: Shellfish-killing phytoplankton in Washington State. Harmful Algae, 105, 102032. https://doi.org/10.1016/j.hal.2021.102032\r\n","relation_type":["Methods"],"relation_desc":""}],"related_datasets":[{"_id":"994297","name":"eDNA hits for specific planktonic taxa","url":"","relation_type":"IsRelatedTo","type_desc":"

The dataset is related to another dataset.

\n","relation_desc":"These datasets are from the same sites along the Oregon Coast and were collected as part of the same project/study in the summer of 2023 and 2024.","citation":"Menge, B. A., Rothman, B., Vinton, A. (2026) eDNA data on plankton composition from waters collected near study sites along the rocky intertidal on the Oregon coast in 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-04-03 doi:10.26008/1912/bco-dmo.994297.1"},{"_id":"994284","name":"IFCB analysis of biovolumes of key phytoplankton taxa","url":"","relation_type":"IsRelatedTo","type_desc":"

The dataset is related to another dataset.

\n","relation_desc":"These datasets are from the same sites along the Oregon Coast and were collected as part of the same project/study in the summer of 2023 and 2024.","citation":"Menge, B. A., Rothman, B., Vinton, A. (2026) Results of imaging flow cytobot (IFCB) analysis of biovolumes of key phytoplankton taxa from waters collected near study sites along the rocky intertidal on the Oregon coast in 2023 and 2024. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-04-02 http://lod.bco-dmo.org/id/dataset/994284"}],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/994306/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"ERDDAP","items":[{"name":"SUBSET DATA","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994306_v1.html","contentType":"text/html","actionType":"tool"},{"name":"VIEW TABLE","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994306_v1.htmlTable","contentType":"text/html","actionType":"view"},{"name":"CSV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994306_v1.csv","contentType":"text/csv","actionType":"download"},{"name":"TSV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994306_v1.tsv","contentType":"text/tsv","actionType":"download"},{"name":"GeoJSON","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994306_v1.geoJson","contentType":"application/geo+json","actionType":"download"},{"name":"MATLAB","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994306_v1.mat","contentType":"text/x-matlab","actionType":"download"},{"name":"netCDF","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994306_v1.nc","contentType":"application/x-netcdf","actionType":"download"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/994306/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/994306/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/994306/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[{"_id":"2033","name":"Partnership for Interdisciplinary Studies of Coastal Oceans","acronym":"PISCO"}],"projects":[{"_id":"910806","name":"RAPID: A subtle epidemic: unique mortality of Mytilus californianus on the Oregon coast","acronym":"Scattered mussel mortality","description":"$17"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.994306.1","url":"https://doi.org/10.26008/1912/bco-dmo.994306.1","date_assigned":"2026-10-08","version_date":"2026-04-07","archiver":"Woods Hole Oceanographic Institution (WHOI BCO-DMO)","archiver_id":"191"}],"license":{"name":"Creative Commons Attribution 4.0","id":"CC-BY-4.0","uri":"https://creativecommons.org/licenses/by/4.0/","spdxUri":"https://spdx.org/licenses/CC-BY-4.0"},"metrics":{"views":{"count":24},"downloads":{"count":7}}}}]