![]() |
BCO-DMO ERDDAP
Accessing BCO-DMO data |
log in
Brought to you by BCO-DMO |
griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
log in | [Adult black sea bass winter survival and lipid dynamics: Laboratory-mesocosm experiment] - Adult Black Sea Bass (Centropristis striata) winter survival and lipid accumulation under varying diet and temperature conditions from a laboratory mesocosm experiment (Oct 2022 to Apr 2023) with individuals collected in Long Island Sound (Collaborative research: The genomic underpinnings of local adaptation despite gene flow along a coastal environmental cline) | This dataset contains measurements from a laboratory mesocosm experiment (Oct 2022 to Apr 2023) with adult Black Sea Bass (Centropristis striata) collected in Long Island Sound. Fish in this experiment were collected concurrently with fish sampled for a related wild-caught dataset (see 'Related Datasets' section).\n\nStudy description:\n\nWe experimentally examined overwintering potential of adult Black Sea Bass (Centropristis striata), an ecologically and economically important fish that seasonally migrates from offshore overwintering grounds to coastal feeding and nursery areas. We collected adults from Long Island Sound in September 2022 and reared them in a laboratory-mesocosm experiment under a contemporary seasonal temperature profile for Long Island Sound (LIS; October 2022 – April 2023) to assess their potential to survive and accumulate lipids throughout the winter. We also fed experimental adults two diet items (blue mussels and Atlantic herring), which are commonly found in Long Island Sound. \n\nIn addition, we sampled fish from the same reef in LIS at the start (October) and end (April) of the experiment to identify lipid dynamics in wild fish that migrate offshore (see \"Related Datasets\" section for wild fish data). Experimental C. striata growth throughout the winter was negligible with high mortality (> 50% observed). \n\nWhile survivors fed herring had higher tissue lipid contents, mortality was 2x higher than for fish fed mussels. In contrast, to the experimental fish, wild-captured fish in the spring had higher gonadosmatic indices than that for survivors across both diet treatments, which was most similar to fall-captured fish. While some fish survived throughout the winter, current winter bottom temperatures still preclude a year-round C. striata presence within Long Island Sound. Overwintering inshore is still disadvantageous compared to seasonally migrating due to surviving experimental fish having lower gonadosomatic indices, suggesting that the offshore overwintering period is a time to build energy reserves. However, as coastal waters continue to warm, changing conditions could lead populations to become year-round residents of Long Island Sound, thus increasing C. striata abundance.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\n... (44 more variables)\n | BCO-DMO | bcodmo_dataset_938004_v1 | ||||||||||||
log in | [Adult black sea bass winter survival and lipid dynamics: Wild fish] - Adult Black Sea Bass (Centropristis striata) winter survival and lipid accumulation in wild-caught fish in Long Island Sound in Sept of 2022 to Apr of 2023 (Collaborative research: The genomic underpinnings of local adaptation despite gene flow along a coastal environmental cline) | This dataset contains adult Black Sea Bass (Centropristis striata) winter survival and lipid accumulation in wild-caught fish in Long Island Sound (September 2022 to April 2023). This dataset includes data from fish collected concurrently with those used in a related mesocosm experiment (run Oct 2022 to Apr 2023), with fish collected at the same reef (see 'Related Datasets' section).\n\nStudy description:\n\nWe experimentally examined overwintering potential of adult Black Sea Bass (Centropristis striata), an ecologically and economically important fish that seasonally migrates from offshore overwintering grounds to coastal feeding and nursery areas. We collected adults from Long Island Sound in September 2022 and reared them in a laboratory-mesocosm experiment under a contemporary seasonal temperature profile for Long Island Sound (LIS; October 2022 – April 2023) to assess their potential to survive and accumulate lipids throughout the winter. We also fed experimental adults two diet items (blue mussels and Atlantic herring), which are commonly found in Long Island Sound. \n\nIn addition, we sampled fish from the same reef in LIS at the start (October) and end (April) of the experiment to identify lipid dynamics in wild fish that migrate offshore. Experimental C. striata growth throughout the winter was negligible with high mortality (> 50% observed). \n\nWhile survivors fed herring had higher tissue lipid contents, mortality was 2x higher than for fish fed mussels. In contrast, to the experimental fish, wild-captured fish in the spring had higher gonadosmatic indices than that for survivors across both diet treatments, which was most similar to fall-captured fish. While some fish survived throughout the winter, current winter bottom temperatures still preclude a year-round C. striata presence within Long Island Sound. Overwintering inshore is still disadvantageous compared to seasonally migrating due to surviving experimental fish having lower gonadosomatic indices, suggesting that the offshore overwintering period is a time to build energy reserves. However, as coastal waters continue to warm, changing conditions could lead populations to become year-round residents of Long Island Sound, thus increasing C. striata abundance.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\n... (34 more variables)\n | BCO-DMO | bcodmo_dataset_938012_v1 | ||||||||||||
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918220_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918220_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918220_v1/ | public | [qPCR assays] - Results from qPCR assays to quantify the abundance and photochemical performance of symbionts relative to coral cells in three coral species collected from colonies in southeast Florida in April and October 2019 before, during, and after heat stress tests (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications) | This dataset contains results from assays to quantify the abundance and photochemical performance of Breviolum, Cladocopium, and Durusdinium symbionts relative to coral cells in Montastraea cavernosa, Orbicella faveolata, and Siderastrea siderea corals collected from colonies in southeast Florida in April 2019 and in October 2019, before, during and after aquarium-based experimental heat stress tests. Bulk genomic DNA was extracted from tissue scrapings taken from 2.5cm diameter cores of corals and was used as a template for symbiont genus-specific qPCR assays. The resulting CT values were used to calculate the relative abundance of each symbiont genus within each coral core over the course of the heat stress. The photochemical efficiency of each coral core was also measured periodically throughout heat stress tests using an imaging pulse amplitude modulated (I-PAM) fluorometer. The publication based on these data is Buzzoni, et al. (2023) (DOI: 10.1007/s00338-023-02428-x).\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nTreatment (unitless)\nCore (unitless)\nCollection_Latitude (degrees_north)\nlongitude (Collection_longitude, degrees_east)\nTimepoint (unitless)\nSym_Host (unitless)\nY2 (unitless)\nPropD (unitless)\nBatch (unitless)\nDate (unitless)\nColony (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918220_v1/index.htmlTable | https://www.bco-dmo.org/dataset/918220![]() | https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918220_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918220_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_918220_v1 | |||||
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945375_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945375_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945375_v1/ | public | [Shipboard incubations SKQ202209S] - Concentrations of dissolved inorganic macronutrients, chlorophyll a, phaeophytin, PON, and POC measured during phytoplankton shipboard incubation experiments on the FeOA cruise SKQ202209S on R/V Sikuliaq in the NE Pacific from June to July 2022 (Collaborative Research: The Effect of Ocean Acidification on Fe Availability to Phytoplankton in Coastal and Oceanic Waters of the Eastern North Pacific) | This dataset includes the concentrations of dissolved inorganic macronutrients (phosphate, nitrate plus nitrite (N+N), silicic acid, and nitrite), chlorophyll a and phaeophytin, and particulate organic nitrogen and carbon measured shipboard in samples collected from phytoplankton shipboard incubation experiments conducted on the FeOA cruise SKQ202209S on R/V Sikuliaq in the Northeast Pacific from June to July 2022.\n\nThis project investigates the effects of ocean acidification on the associations between iron and organic ligands in seawater and on iron bioavailability to marine phytoplankton communities. The project used a combination of shipboard incubation experiments and depth profiles to characterize iron speciation and cycling across coastal upwelling, oligotrophic open ocean, and iron-limited subarctic oceanographic regimes in the NE Pacific. Surface seawater was incubated at pH of 8.1, 7.6, and 7.1 with natural iron and with dissolved iron amendments in order to investigate interactions between pH and iron bioavailability across the different regimes. Understanding how pH influences iron and its relationship with ligands provides important information for assessing the impacts of ocean acidification on primary production and biogeochemical processes.\n\ncdm_data_type = Other\nVARIABLES:\nFeOA_NBR (unitless)\nISO_DateTime_Start_Local (unitless)\ntime (Iso_datetime_start_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_Stop_Local (unitless)\nISO_DateTime_Stop_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Collection_latitude, degrees_north)\nlongitude (Collection_longitude, degrees_east)\nPLATFORM (unitless)\nSTNNBR (unitless)\nINCNBR (unitless)\nINCDAY (unitless)\nINCTREATMENT (unitless)\nBTLNBR_INC (unitless)\n... (40 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945375_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945375_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945375_v1/index.htmlTable | https://www.bco-dmo.org/dataset/945375![]() | https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945375_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945375_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_945375_v1 |