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 | [Scallop Density Survey - Trap CPUE] - Data from minnow traps placed across landscape fragmentation per se treatments in June, July, and August 2019 in Back Sound, NC to accompany scallop density surveys (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms) | This dataset contains data from minnow traps placed across landscape fragmentation per se treatments in June, July, and August 2019 to accompany scallop density surveys. These data were collected as part of the following study published in Yarnall et al. (2024):\n\nTo explore the independent influence of fragmentation per se (patchiness) on mobile juvenile bay scallop (Argopecten irradians) density, we constructed 16 artificial seagrass unit (ASU) landscapes, consisting of four replicates each of four treatments. Fragmentation per se treatments consisted of three levels of patchiness while maintaining consistent total ASU area. We also examined the effect of patch-scale position on scallop densities. \n\nTo examine the relationship of potential scallop predator community density on scallop density, we deployed four baited minnow traps to accompany each density survey. \n\nData were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nSite_ID (unitless)\nLandscape (unitless)\nNum_patches (integer)\nFootprint (unitless)\nRep_letter (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMonth (unitless)\nDate_In (unitless)\nTime_In (unitless)\ntime (Iso_datetime_utc_in, seconds since 1970-01-01T00:00:00Z)\nDate_Out (unitless)\nTime_Out (unitless)\n... (10 more variables)\n | BCO-DMO | bcodmo_dataset_939592_v1 | ||||||||||||
| log in | [Scallop Survival Assays - Trap CPUE] - Data from minnow traps deployed to accompany scallop survival assays conducted as part of a larger concurrent study with Artificial Seagrass Units (ASU) in NC from July to September 2018 (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms) | This dataset contains minnow trap data from deployments performed to accompany scallop survival assays conducted in 2018 (assays across landscape area x fragmentation per se treatments). These data were collected as part of the following study published in Yarnall et al. (2024):\n\nTo parse the influences of fragmentation components on scallop survival, we generated nine unique landscapes composed of artificial seagrass units (ASUs), were constructed to mimic Zostera marina. These landscapes were part of a larger-scale concurrent experiment, during which we examined seagrass fragmentation effects on estuarine faunal communities (Yarnall et al. In Press). Landscapes were designed to be treatments along orthogonal axes of seagrass percent cover of the landscape footprint (10%, 35%, 60%) and fragmentation per se, indexed by percolation probability (0.1, 0.35, 0.59). \nTo examine the influence of potential scallop predator community density on scallop survival, we deployed two baited minnow traps to accompany each survival assay. All caught fauna were identified to the species level, enumerated, and released.\n\nData were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nSite_ID (unitless)\nPer_cov (percent (%))\nFrag (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_In (unitless)\nTime_In (unitless)\ntime (Iso_datetime_utc_in, seconds since 1970-01-01T00:00:00Z)\nDate_Out (unitless)\nTime_Out (unitless)\nCheck_num (unitless)\n... (9 more variables)\n | BCO-DMO | bcodmo_dataset_939600_v1 |