Accessing BCO-DMO data
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BCO-DMO ERDDAP
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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 | [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 | ||||||||||||
| log in | [Scallop Survival Assays] - Data from scallop survival assays conducted as part of a larger concurrent study of fragmentation effects on estuarine faunal communities with Artificial Seagrass Units (ASU) in Back Sound, 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 metadata and data from scallop survival assays conducted in 2018 (assays across landscape area x fragmentation per se treatments) 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). \nRelative scallop survival was measured by deploying tethered juvenile bay scallops in two density treatments. Five 24-h survival assay trials were conducted from July to September 2018. During each survival assay, observers snorkel surveyed tethers and recorded the number of live and dead scallops per treatment. \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)\nCheck_num (unitless)\nDate_check (unitless)\n... (20 more variables)\n | BCO-DMO | bcodmo_dataset_939581_v1 | ||||||||||||
| log in | [SMIIL salt marsh discrete samples] - Discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity from the Seven Mile Island Innovation Laboratory (SMIIL) from 2022 to 2024 (Sediment transport and water quality in watersheds and coastlines of the United States) | This dataset contains discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity collected from 2022 through 2024 from a tidal salt marsh in New Jersey, USA. The marsh is located landward of Seven Mile Island, a populated barrier island in Cape May County, New Jersey, and is a part of the Seven Mile Island Innovation Laboratory (SMIIL), a research initiative focused on advancing dredging and marsh restoration practices. Samples in this dataset were collected as part of a collaboration between Boston College and the U.S. Army Corps of Engineers Engineer Research and Development Center. This project encompassed multi-year biogeochemical sensor deployments within the main tidal salt marsh channel and salt ponds on the marsh platform, as well as targeted deployments to monitor beneficial use dredged sediment placements. Beginning in August-September 2022, discrete samples for dissolved oxygen, total alkalinity, and dissolved inorganic carbon were collected at the start and end of each sensor deployment for additional sensor calibration and validation. We provide the discrete sample measurements alongside collected salinity and temperature sensor data from the locations where sensors were deployed.\n\ncdm_data_type = Other\nVARIABLES:\nTrip_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStation_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTemp_C (degrees Celsius)\nTemp_flag (unitless)\nSal_PSU (Practical Salinity Units)\nSal_flag (unitless)\nOxygen1 (umol/kg)\nOxygen1_flag (unitless)\nOxygen2 (umol/kg)\nOxygen2_flag (unitless)\nOxygen3 (umol/kg)\n... (7 more variables)\n | BCO-DMO | bcodmo_dataset_971872_v1 |