Accessing BCO-DMO data
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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
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| log in | [Mussel lab incubations: periostracum and pH (effect on shell dissolution)] - Lab incubations of mussels (Mytilus californianus) examining the influence of periostracum cover and pH on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) | Reductions to seawater pH challenge the shell integrity of marine calcifiers. Many molluscs have an external organic layer (the periostracum) that limits exposure of underlying shell to the external environment, which could potentially help combat shell dissolution under corrosive seawater conditions. We tested this possibility in adult California mussels, Mytilus californianus. We quantified shell dissolution rates as a function of periostracum cover across three levels of reduced pH (7.7, 7.5, and 7.4 on the total scale). This dataset represents shell dissolution data of California Mussels as a function of shell periostracum cover and pH level from lab experiments conducted at the Bodega Marine Laboratory, University of California, Davis in July and August 2022. For the current study, adult mussels (42 - 64 mm in length) were collected from Marshall Gulch, California (38.369738 °N, -123.073921 °W) between August 2021 and March 2022 and transported immediately to the University of California Davis' Bodega Marine Laboratory (< 30 min distance), in Bodega Bay, California. Mussels were held in filtered, flow-through seawater and fed ad libitum until used in experiments.\n\nFurther experiments on external shell dissolution were performed in the dataset: Lab incubations of mussels (Mytilus californianus) examining the influence of simulated abrasion of periostracum on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (see BCO-DMO related dataset).\n\ncdm_data_type = Other\nVARIABLES:\nINDEX (unitless)\nspecies (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate_in (unitless)\ntime_in (unitless)\ntime_in_UTC (seconds since 1970-01-01T00:00:00Z)\ndate_out (unitless)\ntime_out (unitless)\ntime_out_UTC (seconds since 1970-01-01T00:00:00Z)\n... (17 more variables)\n | BCO-DMO | bcodmo_dataset_935476_v1 | ||||||||||||
| log in | [Mussel lab incubations: simulated periostracum abrasion (effect on shell dissolution)] - Lab incubations of mussels (Mytilus californianus) examining the influence of simulated abrasion of periostracum on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) | These data build off of experimental incubations described in Dataset 1. Given that the periostracum can be eroded over time, we were interested in whether the abrasion of the periostracum by sand of differing coarseness might separately influence dissolution rates under corrosive seawater conditions. Therefore, we conducted incubations of abraded California mussel valves, Mytilus californianus, (in addition to unsanded control valves) and measured dissolution rates as a function of sand paper grit coarseness (pH = 7.4). This dataset represents shell dissolution data of California Mussels from lab experiments conducted at the Bodega Marine Laboratory, University of California, Davis in August 2022. For the current study, adult mussels (42 - 64 mm in length) were collected from Marshall Gulch, California (38.369738 °N, -123.073921 °W) between August 2021 and March 2022 and transported immediately to the University of California Davis' Bodega Marine Laboratory (< 30 min distance), in Bodega Bay, California. Mussels were held in filtered, flow-through seawater and fed ad libitum until used in experiments.\n\nDataset 1: Lab incubations of mussels (Mytilus californianus) examining the influence of periostracum cover and pH on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (see BCO-DMO related dataset).\n\ncdm_data_type = Other\nVARIABLES:\nINDEX (unitless)\nspecies (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate_in (unitless)\ntime_in (unitless)\ntime_in_UTC (seconds since 1970-01-01T00:00:00Z)\ndate_out (unitless)\ntime_out (unitless)\ntime_out_UTC (seconds since 1970-01-01T00:00:00Z)\nsanding (unitless)\nph_spec_0 (unitless)\n... (15 more variables)\n | BCO-DMO | bcodmo_dataset_935480_v1 | ||||||||||||
| log in | [Results of meta-analysis on CovGE in phenotypic results] - Results from a meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results in published literature (RCN: Evolution in Changing Seas) | Covariance can exist between the genetic and environmental influences on phenotype (CovGE)\nand can have an important role in ecological and evolutionary processes in nature and population responses to environmental change. CovGE is commonly called countergradient variation (CnGV; negative CovGE)or cogradient variation (CoGV; positive CovGE)and has been recognized in classic studies that have established several long-standing hypotheses about CnGV and CoGV. For instance, it is hypothesized that CnGV is more prevalent in nature than CoGV, that CnGV is more prevalent in fish, amphibian, and invertebrate taxa, across latitudinal or altitudinal environmental gradients, and more frequently occurs in metabolic compensation traits, including development, growth, feeding, metabolism, and activity, while CoGV is more commonly observed in morphological traits. The recent development of a standardized method to measure CovGE allows for the first rigorous quantitative exploration of these hypotheses. We use meta-analysis and apply the novel quantitative method to test whether the above hypotheses are supported in the literature. We found no differences in frequency of CnGV and CoGV, and no systematic patterns relative to taxa, environmental gradient, or trait type. However, our analyses suggest that CovGE may be as common as gene by environment (GxE) interactions. Given that CovGE is likely to have a strong impact on future outcomes for organisms experiencing environmental change, that significant CovGE occurred frequently, and the lack of systematic patterns in the occurrence of CovGE, we encourage a more widespread application of measuring CovGE.\n\ncdm_data_type = Other\nVARIABLES:\nIndex1 (unitless)\nIndex (unitless)\nno_bcodmo_term (Time, unitless)\nData_file_name (unitless)\nFirst_Author (unitless)\nData_type (unitless)\nPhylum (unitless)\nGenus (unitless)\nSpecies (unitless)\nOrder (unitless)\n... (29 more variables)\n | BCO-DMO | bcodmo_dataset_877425_v2 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926905_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926905_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926905_v1/ | public | [Short-term heat stress assay Heron Island - experimental temperature data] - Temperature data from short-term heat stress assays performed with with corals collected from sites around Heron Island, southern Great Barrier Reef in Sept and Oct of 2022 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) | Variable temperature regimes that expose corals to sub-lethal heat stress have been recognized as a mechanism to increase coral thermal tolerance and lessen coral bleaching. However, there is a need to better understand which thermal regimes maximize coral stress hardening. Here, standardized thermal stress assays were used to determine the relative thermal tolerance of three divergent genera of corals (Acropora, Pocillopora, Porites) originating from six reef sites representing an increasing gradient of annual mean diel temperature fluctuations of 1–3°C day-1. Bleaching severity and dark-acclimated photochemical yield (i.e., Fv/Fm) were quantified following exposure to five temperature treatments ranging from 23.0 to 36.3°C (see Related Datasets for photochemical yield). This data set contains the short-term heat stress temperature data.\n\ncdm_data_type = Other\nVARIABLES:\nindex (unitless)\nDate (unitless)\ntime_local (Time, unitless)\nDateTime_Local (unitless)\nTemperature (degrees Celsius (degC))\nday (unitless)\nSite (unitless)\nTreatment (unitless)\ntime (Datetime_utc, seconds since 1970-01-01T00:00:00Z)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926905_v1/index.htmlTable | https://www.bco-dmo.org/dataset/926905
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926905_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926905_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_926905_v1 |