19:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1a:T6b0,

Sampling collection details

We gathered naturally settled, adult California mussels (M. californianus between 30 and 80 mm in maximum shell length) by hand from the mid-intertidal zone of Carmet Beach, along the northern California coast. We cleaned mussels of all epibionts and external byssal threads, then transported them in buckets (< 0.5 hr transit time) to Bodega Marine Laboratory, where we acclimated individuals for seven days in flow-through seawater tables prior to subsequent experiments.

Experiment details

This experiment utilized separate incubations with de-fleshed mussel shells to quantify rates of abiotic dissolution, and we employed these dissolution rates to correct the alkalinity anomaly data to estimate gross calcification rates (gross calcification = net calcification + dissolution). The researchers dried and bleached shells (n = 60) originating from live mussels at Carmet Beach, CA, and used 7.5% sodium hypochlorite to remove excess tissue and microbial communities, before incubating them in an analogous fashion to the calcification trials (Supplementary Figure S4 in Results paper Pomano de Orte et al. (2021)). Dissolution rate data was plotted against calcium carbonate saturation state, with an Arrhenius-derived dissolution equation of the form y = b0 – b1*ea*Ω where y is the measured dissolution rate, b0 is the asymptotic dissolution rate, b1 is the y-intercept, and a is the rate of approaching the asymptote12. Dissolution corrections were applied prior to normalization by dry tissue weight.

1b:T502,

Definition from https://www.lsid.info/ (Accessed 2024-07-29):

The Life Sciences Identifier (LSID) is an Interoperable Informatics Infrastructure Consortium (I3C) and OMG Life Sciences Research (LSR) Uniform Resource Name (URN) specification in progress.

The LSID concept introduces a straightforward approach to naming and identifying data resources stored in multiple, distributed data stores in a manner that overcomes the limitations of naming schemes in use today. Almost every public, internal, or department-level data store today has its own way of naming individual data resources, making integration between different data sources a tedious, never-ending chore for informatics developers and researchers.

By defining a simple, common way to identify and access biologically significant data, whether that data is stored in files, relational databases, in applications, or in internal or public data sources, LSID provides a naming standard underpinning for wide-area science and interoperability.

A detailed LSID URN naming specification is available at the OMG LSR.

1c:Tb9d,NSF Award Abstract: This research is exploring the capacity of coastal organisms to cope with alterations in seawater chemistry driven by both freshwater inputs and absorption of carbon dioxide into the world's oceans (ocean acidification). The project focuses on calcification responses and behavioral impairments of shoreline animals under altered seawater chemistry, and forefronts a common mussel species (the California mussel), and a common snail (the black turban snail), each abundant on rocky shores along the west coast of North America. The target species operate as exemplar organisms for characterizing the responses of marine invertebrates more generally. Methods involve experimental decoupling of multiple components of the carbonate system of seawater to isolate drivers that are difficult to separate otherwise. Broader impacts include transfer of scientific information to policy-makers, including legislators, as well as training and skill-set development of future generations of scientists and citizens. One Ph.D. student is supported, as are UC Davis undergraduates conducting mentored research. The project also provides research internships for undergraduates from a local community college (Santa Rosa Junior College), many of whom are from underrepresented groups. The latter project component substantially bolsters an ongoing program at Bodega Marine Laboratory that includes efforts in diversity, equity, and inclusion. Data and interpretations from the project are feeding into an existing educational program that links to local K-12 schools and reaches ~10,000 members of the public each year. Overall, the research of the project is dissecting drivers of calcification and behavioral disruption in key shoreline invertebrates, across present-day and future carbonate system conditions appropriate to coastal marine environments. Efforts are exploring the extent to which calcification depends on one versus multiple parameters of the seawater carbonate system. In particular, existing conceptual models emphasize the importance of calcium carbonate saturation state (Ω) and/or the ratio of bicarbonate to hydrogen ion concentrations ([HCO3-]/[H+]), and the project is examining these mechanisms as well as the possibility that more than one driver acts simultaneously. It is doing so both in bivalves and in gastropods to test for generality across mollusks. The project is additionally examining whether pH is the only carbonate system factor contributing to known patterns of behavioral impairment in marine invertebrates. Leading explanations for debilitating behaviors induced by ocean acidification involve altered ion channel function, but discussion in the literature continues, and studies that explicitly decouple the carbonate system are necessary. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.6:["$","$L19",null,{"dataset":{"_id":"925664","description":"","problem":"","acquisition":"$1a","processing":"

The researchers fit dissolution rate data, plotted against calcium carbonate saturation state, with an Arrhenius-derived dissolution equation of the form y = b0 – b1*ea*Ω where y is the measured dissolution rate, b0 is the asymptotic dissolution rate, b1 is the y-intercept, and a is the rate of approaching the asymptote12. Dissolution corrections were applied prior to normalization by dry tissue weight.

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Mussel species used in incubation, Mytilus californianus.

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Unique identifier for the listed taxon in the Aphia database.

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Experimental module corresponding to different mussel collection events.

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Incubation datetime in Pacific Standard Time.

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Start time of the incubation in Pacific Standard Time.

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Start datetime of the incubation in UTC.

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time at start of measurement (GMT)

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Duration of incubation in hours.

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Duration of sample incubation; used in laboratory experiments. Refer to dataset for units of measure.

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Incubation Salinity.

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Incubation Temperature.

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Temperature at which samples were incubated.

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Dried mussel shell mass.

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mass of dried specimen (freeze-dried, ash free lean dry mass, and others).

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Mean alkalinity during incubation.

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Total alkalinity

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Mean pH during incubation.

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Mean bicarbonate ion concentration during incubation.

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Concentration of bicarbonate ion ([HCO3]-) in seawater. Refer to dataset for units of measure.

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Mean carbonate ion concentration during incubation.

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Concentration of carbonate ion ([CO3]2-) in seawater. Dissolved carbonate ion. Refer to dataset for units of measure.

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Mean aragonite saturation state during incubation, corrected for calcium concentration where calcium was modified.

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Mean carbon dioxide concentration, including dissolved carbon dioxide and carbonic acid concentrations during incubation.

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Mean partial pressure of carbon dioxide during incubation.

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Partial pressure of carbon dioxide {pCO2} in the water body by computation from pH and alkalinity.

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Mean dissolved inorganic carbon concentration, [CO2] + [HCO3-] + [CO32-], during the incubation.

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Dissolved Inorganic Carbon

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Mass of seawater in incubation vessel.

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Measured change in alkalinity during incubation.

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Total alkalinity

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Dissolution rate during the incubation expressed as the change in alkalinity per gram of shell material.

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Total alkalinity

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The dataset is related to another dataset.

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