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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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_708338.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_708338 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_708338.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_708338/ | public | [Coral calcification rates] - Coral calcification rates from experiments conducted on Oahu, Hawaii from December of 2014 to November of 2015 (Will corals recover from bleaching under ocean acidification conditions?) | Coral calcification rates from experiments conducted on Oahu, Hawaii from December of 2014 to November of 2015\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nTank (unitless)\nTreatment_pH (Treatment P H, unitless)\nTreatment_feed (unitless)\nDate_HST (unitless)\nCalcification (milligrams per gram per day (mg/g/d))\nColony_number (unitless)\nNubbin_number (unitless)\nBleach_Status_2014 (unitless)\nCollection_location (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_708338_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_708338/index.htmlTable | https://www.bco-dmo.org/dataset/708338
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_708338.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_708338&showErrors=false&email= | BCO-DMO | bcodmo_dataset_708338 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_775229.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_775229 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_775229.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_775229/ | public | [Coral reef seawater microbial communities] - Diel, daily, and spatial variation of coral reef seawater microbial communities from US Virgin Islands, 2017 (Signature exometabolomes of Caribbean corals and influences on reef picoplankton) | Bacterial and archaeal diversity and composition, microbial cell abundances, inorganic nutrient concentrations, and physicochemical conditions were determined and measured in coral reef seawater over a three-day, diel time series on one reef in St. John, U.S. Virgin Islands.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nNCBI_BioProject_accession_number (NCBI Bio Project Accession Number, unitless)\nNCBI_BioSample_accession_number (NCBI Bio Sample Accession Number, unitless)\nSample_type (unitless)\nCoral_Colony_or_sand (unitless)\nCollection_time (unitless)\nCollection_Date (unitless)\nCollection_location (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nProchlorococcus_cells_mL (Prochlorococcus Cells M L, cell/milliliter)\nSynechococcus_cells_mL (Synechococcus Cells M L, cell/milliliter)\nPicoeukaryotes_cells_mL (Picoeukaryotes Cells M L, cell/milliliter)\nUnpigmented_cells_cells_mL (Unpigmented Cells Cells M L, cell/milliliter)\nPhosphate_uM (Mass Concentration Of Phosphate In Sea Water, micromoles)\nSilicate_uM (Mass Concentration Of Silicate In Sea Water, micromoles)\nNitrate_uM (Mole Concentration Of Nitrate In Sea Water, micromoles)\nNitrite_uM (Mole Concentration Of Nitrite In Sea Water, micromoles)\nAmmonium_uM (Mole Concentration Of Ammonium In Sea Water, micromoles)\nTemperature_F (degrees Fahrenheit)\nDepth_Feet (Depth, feet)\nRelative_light_levels (lumens/foot^2)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_775229_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_775229/index.htmlTable | https://www.bco-dmo.org/dataset/775229
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_775229.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_775229&showErrors=false&email= | BCO-DMO | bcodmo_dataset_775229 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_788903.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_788903 | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_788903/ | public | [Reef Fish Genetic Accessions 2019] - Reef Fish genetic accession numbers at NCBI Genbank (Origins of Hawaiian Reef Fishes) | Reef Fish genetic accession numbers at NCBI Genbank.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies_Name (unitless)\nSequence_Description (unitless)\nCollection_Location (unitless)\nSequence_Analysis_Method (unitless)\nJournal_Publications (unitless)\nJournal_Publication_DOI (unitless)\nGenbank_Accession_Range (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_788903/index.htmlTable | https://www.bco-dmo.org/dataset/788903
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_788903.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_788903&showErrors=false&email= | BCO-DMO | bcodmo_dataset_788903 | |||||
| log in | [Trematode Parasite COI Sequences] - COI mtDNA sequences for trematodes from fish collections across the Northern Line Islands and French Polynesia archipelagos collected between 2009 and 2023 (Collaborative Research: Decomposing the effects of diversity on the abundance of marine parasites) | The loss of biological diversity is considered one of the principal environmental challenges of the 21st century, and there are hints that this massive reorganization of food webs could affect how parasites are transmitted among hosts. Parasites are often hidden and can be easy to overlook, but they are ecologically important and ubiquitous - so it is important to understand whether we should expect more or fewer of them as biodiversity disappears. Does biodiversity loss increase the abundance of parasites by eroding natural \"checks and balances\" on transmission? Or does it decrease parasite abundance by removing the free-living biodiversity on which parasites depend? Answers to these questions are urgently needed if we are to mitigate or prevent an uptick in parasite transmission for ecosystems experiencing biodiversity loss.\n\nIn a joint collaborative research project among the University of Washington, Scripps Institution of Oceanography at UC San Diego, and California State University Monterey Bay, we created a parasite dataset of unprecedented size and taxonomic resolution. We sampled parasites of coral reef fishes from 19 replicate islands in the central equatorial Pacific to study how biodiversity and parasite burden covary.\n\nThis data set contains COI mtDNA sequence accession numbers, collection locations, and life stages for trematodes from the family Microscaphidiidae and Paramphistomatidae from fish collections across the Northern Line Islands and French Polynesia archipelagos collected between 2009 and 2023. Specifically this data set represents 87 Microscaphidiidae samples from the Northern Line Islands and 132 Paramphistomatidae from French Polynesia.\n\ncdm_data_type = Other\nVARIABLES:\nNCBI_Accession_Number (unitless)\nCollection_Location (unitless)\nLarval_or_Adult (unitless)\n | BCO-DMO | bcodmo_dataset_953401_v1 | ||||||||||||
| log in | [Western Pacific Hawaii Aerosol Data] - Aerosol composition data of ion concentrations (ammonium, nitrate, nitrite, sodium, chloride, magnesium, calcium, potassium, sulfate); and ammonium and nitrate isotope (15N) of atmospheric particulates collected in Hawaii from March 2021 to August 2022 (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere) | These data include aerosol composition data of ion concentrations (ammonium, nitrate, nitrite, sodium, chloride, magnesium, calcium, potassium, sulfate), and ammonium isotope (15N) of atmospheric particulates collected on Oahu, Hawaii. Aerosol sampling was conducted from March 2021 to June 2022 and collected roughly every seven days. A high-volume aerosol sampler operating at 1,200 L min-1 with 25 × 20 cm filters was used. Recognizing the deposition of atmospheric particulates has the potential to understanding the important role of atmospheric deposition to the nitrogen cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to inorganic nitrogen and were collected by Mitchell Pinkerton at the Ocean University of Hawaii.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nDate (unitless)\nCollection_Location (units)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCollectionPeriod_Hrs (hours (hrs))\nTotalAirVolume_m3 (Liter (L))\nParticleWeight_g (milligram (mg))\nAmmoniumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nNitrateConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nSodiumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nPotassiumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nMagnesiumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nCalciumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nChlorideConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nSulfateConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nDelta15N_Ammonium (parts per thousand (permil) (‰))\nDelta15N_Nitrate (parts per thousand (permil) (‰))\n | BCO-DMO | bcodmo_dataset_946741_v1 |