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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916418_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916418_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_916418_v1/ | public | [Fish collection locations] - Collection locations, dates, and weight and length measurements of individuals of three fish species from the Matagorda Bay region of Texas in the northwestern Gulf of Mexico from 2021 to 2023 (Collaborative Research: Shifting the Hypoxia Paradigm – New Directions to Explore the Spread and Impacts of Ocean/Great Lakes Deoxygenation) | This dataset describes the collection locations of individuals of three fish species (Red Drum Sciaenops ocellatus, Southern Flounder Paralichthys lethostigma, and Atlantic Croaker Micropogonias undulatus) in the Matagorda Bay region of Texas in the northwestern Gulf of Mexico. Fish carcasses were obtained from anglers at boat docks, fish cleaning stations, or other locations in the region. Fish were also obtained from bait shops where the proprietors verified the fish were sourced from the Matagorda Bay study region. These fish will be dissected to subsample muscle tissue, eye lenses, and otoliths for chemical analysis to reconstruct environmental histories (trace element proxies for hypoxia, salinity, and other parameters), mercury concentrations, and stable isotopes to reconstruct food web interactions.\n\ncdm_data_type = Other\nVARIABLES:\nFishID (unitless)\nStation_Name (unitless)\nStation_Latitude (degrees_north)\nlongitude (Station_longitude, degrees_east)\nDate_Collected (unitless)\nSpecies (unitless)\nWeight_g (grams (g))\nLength_mm (millimeters (mm))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_916418_v1/index.htmlTable | https://www.bco-dmo.org/dataset/916418
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_916418_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_916418_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_916418_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_750972 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_750972.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_750972/ | public | [Micronekton AA CSIA ALOHA: Amino acid specific isotopes in micronekton] - Amino acid compound specific isotope values for micronekton from R/V Kilo Moana KM1109, KM1123, KM1407, KM1418, and other cruises in the Central North Pacific, Station ALOHA, Tropical Pacific, 2007-2014 (Collaborative Research: Isotopic insights to mercury in marine food webs and how it varies with ocean biogeochemistry) | This dataset contains amino acid compound specific concentrations in micronekton collected during R/V Kilo Moana cruises around the ALOHA observatory (KM1407, KM1418, KM2011, and a few other undocumented cruises). For more information about the ALOHA observatory see: http://aco-ssds.soest.hawaii.edu/. These data were published in Gloeckler et al (2018), Supporting Information file lno10762-sup-0001-suppinfo1.xlsx\n\ncdm_data_type = Other\nVARIABLES:\nSpeciesID (Species ID, unitless)\nFamilyID (Family ID, unitless)\nSpecimenID (Specimen ID, unitless)\nSample_site (unitless)\nYear (unitless)\nMonth (unitless)\nCruiseID (Cruise ID, unitless)\nn (individuals)\nLength_mm (millimeters)\nLength_Type (length)\nTissue_Type (sample_type)\ndelta15N_ppt_v_AIR (Delta15 N Ppt V AIR, permil)\ndelta13C_ppt_v_VPDB (Delta13 C Ppt V VPDB, permil)\nC_N_mol_mol (unitless)\nAlanine (unitless)\nGlycine (unitless)\nThreonine (unitless)\nSerine (unitless)\nValine (unitless)\nLeucine (unitless)\nIsoleucine (unitless)\nProline (unitless)\nAspartic_acid (unitless)\n... (7 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_750972/index.htmlTable | https://www.bco-dmo.org/dataset/750972
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_750972.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_750972&showErrors=false&email= | BCO-DMO | bcodmo_dataset_750972 | |||||
| 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 |