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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986256_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986256_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986256_v1/ | public | [2022 CBL Seine Dissection Results] - Stomach dissection results from fish caught in Chesapeake Biological Laboratory's seine survey in Summer 2022 (Planktonic Omnivores and Stable Isotopes: Developing, Validating and Field-testing a Multi-species Functional Response Model) | This dataset includes results from the dissection of stomach contents of fish caught from a yearly seine survey (May-October) conducted by Chesapeake Biological Laboratory (CBL). The fish were kept based on morphology, where those that could physically consume a mysid shrimp were kept and frozen to be dissected at a later date. The dissection data include the individual fish identification number, date the fish was caught, location fish was caught, species of fish, total length of fish, full and empty weights of the fish, and the presence of various prey items (unidentifiable material, amphipods, polychaetes, mysids, unidentifiable crustaceans, isopods, barnacles, bivalves, miscellaneous larvae, insects, fish, foliage, diatoms, algae, potential parasites), the items found in the stomachs, and comments about each dissection. Dissections took place from September 2022 to January 2023. Laboratory scalpels and forceps were used to remove the organs from the fish, and a dissecting microscope was used to identify the stomach contents visually. Sampling was done by various students and technicians at Chesapeake Biological Laboratory, and dissections were done by Lael Collins.\n\ncdm_data_type = Other\nVARIABLES:\nFish_ID (unitless)\nDate_Caught (unitless)\nLocation_Survey (unitless)\nSpecies (unitless)\nTotalLength_mm (millimeters (mm))\nWeight_g (grams (g))\nFull_stomach_wt_g (grams (g))\nEmpty_stomach_wt_g (grams (g))\nMysids_count (unitless)\nMysids_present (unitless)\nAmphipods (unitless)\nPolychetes (unitless)\nUnid_crustacean (unitless)\nCopeods (unitless)\nIsopods (unitless)\n... (9 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986256_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/986256
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986256_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986256_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_986256_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3885 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3885.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3885/ | public | [algal classes] - ChemTax based chl-a of algal groups from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, Bermuda Atlantic Time-Series Station (BATS) from 2011-2012 (Trophic BATS project) (Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea \t) | ChemTax based chl-a of algal groups are reported from four cruises in the Sargasso Sea during 2011 and 2012.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (dimensionless)\ndate_gmt (unitless)\ncast (dimensionless)\ntime_gmt (HHMM)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nsample (dimensionless)\nsize_fraction (micrometers)\ncyanobacteria (micrograms of Chl-a per liter)\nprasinophytes (micrograms of Chl-a per liter)\ncryptophytes (micrograms of Chl-a per liter)\ndiatoms (micrograms of Chl-a per liter)\npelagophytes (micrograms of Chl-a per liter)\nhaptophytes (micrograms of Chl-a per liter)\ndinoflagellates (micrograms of Chl-a per liter)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3885_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3885/index.htmlTable | https://www.bco-dmo.org/dataset/3885
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3885.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3885&showErrors=false&email= | BCO-DMO | bcodmo_dataset_3885 | ||||
| log in | [Cerro Mundo Algal Percent Cover Data] - Algal Percent Cover Data collected in the nearshore shallow subtidal during eight field experiments conducted at Cerro Mundo Bay in the Galapagos Islands between Sep 2021 and Apr 2023 (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) | Increased standing macroalgal biomass in upwelling zones is generally assumed to result from higher nutrient flux associated with upwelled waters. However, other factors can also strongly impact macroalgal communities. For example, herbivory and temperature—through their effects on primary producers and the metabolic demands of consumers—can influence macroalgal biomass and productivity, respectively. Although there are numerous studies examining the interactive effects of herbivores and nutrients in both temperate regions, few have addressed these dynamics in tropical or subtropical upwelling systems. The purpose of this study was to assess the effects of herbivores, temperature, and nutrient availability on standing macroalgal biomass and total algal cover. Macroalgal biomass is presented in the related dataset. We manipulated nutrient availability and herbivory in eight field experiments conducted under contrasting productivity and thermal regimes (cool upwelling vs. warm, non-upwelling seasons) on a subtidal nearshore rocky reef.\n\nHere, we present the algal percent cover data collected from the shallow subtidal zone during September 2021 to April 2023 field experiments.\n\ncdm_data_type = Other\nVARIABLES:\nCage (unitless)\nTreatment (unitless)\nN (unitless)\nMonthstart (unitless)\nMonthend (unitless)\nYear (unitless)\nUlva (unitless)\nUlva_pct (percent)\ncca (unitless)\ncca_pct (percent)\nBrown_foliose_algae (unitless)\nBrown_foliose_algae_pct (percent)\nHPM (unitless)\nHPM_pct (percent)\n... (23 more variables)\n | BCO-DMO | bcodmo_dataset_985410_v1 | ||||||||||||
| log in | [Epifluorescence Microscopy Cell Size and Biomass] - (Collaborative Research: Quantifying trophic roles and food web ecology of salp blooms of the Chatham Rise) | The structure of the phytoplankton community is crucially important to pelagic food webs, biogeochemical processes. and carbon (C) cycle. This study quantifies C-based size spectra, phytoplankton community composition across subtropical and subantarctic waters east of New Zealand. Depth-resolved water column samples were analyzed using epifluorescence microscopy at 15 different sampling locations. Samples were analyzed for biomass and abundance of microplankton (>20 µm), nanoplankton (2-20 µm) and picoplankton (<2 µm) and diatoms. Our results suggest that the subtropical waters are dominated by nanoplankton (35.2 ± 4.6 µg C/L). Offshore subantarctic waters were dominated by picoplankton (24.7 ± 2.1 µg C/L) while microplankton dominated in coastal subantarctic waters (21.7 ± 2.2 µg C/L). Overall, our study helps provide important insights into the structure of phytoplankton communities, their biomass distribution and their contribution to carbon sequestration in the subtropical and subantarctic waters east of New Zealand, highlighting the dominance of nanoplankton in subtropical waters and picoplankton in offshore subantarctic waters.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nCycle (unitless)\nCast (unitless)\nParticle_Number (unitless)\nFilter_Pore_Size (unknown)\nVolume_Filtered (mL)\nDepth (meters)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nDate (unitless)\nArea (µm)\nWidth (µm)\nFeret_Length (µm)\nConversion_Ratio (unitless)\nCalculated_Width (µm)\n... (5 more variables)\n | BCO-DMO | bcodmo_dataset_905060_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_711846.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_711846 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_711846.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_711846/ | public | [Phytoplankton abundance from bottles and environmental data] - Phytoplankton abudance and physical environmental data from niskin bottles off the coast of Juneau, Alaska from 2015-2016 (SEAK-AHAB project) (Enhancing Sustainability of Shellfish Harvest in Alaska: Addressing the Ecology of Alexandrium Blooms and their Sociocultural Impacts) | Phytoplankton abudance and physical environmental data from niskin bottles off the coast of Juneau, Alaska from 2015-2016 (SEAK-AHAB project)\n\ncdm_data_type = Other\nVARIABLES:\nyear (unitless)\ninvestigator (unitless)\ninstrument (unitless)\nstation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsite_type (unitless)\nsampling_event (unitless)\ndate (unitless)\ntime_zone (unitless)\ntime_local (unitless)\nair_temp (celsius)\nsurface_salinity (Sea Water Practical Salinity, parts per thousand (PPT))\nsurface_temp (celsius)\nweather (unitless)\ntide (unitless)\ndepth (m)\ndinoflagellates (cells per liter (cells/L))\ndiatoms (cells per Liter (cells/L))\nAlexandrium_sp (cells per Liter (cells/L))\ntime (ISO Date Time Local, seconds since 1970-01-01T00:00:00Z)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_711846_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_711846/index.htmlTable | https://www.bco-dmo.org/dataset/711846
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_711846.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_711846&showErrors=false&email= | BCO-DMO | bcodmo_dataset_711846 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_660429.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_660429 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_660429.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_660429/ | public | [Phytoplankton abundance from net tows and environmental data] - Phytoplankton abudance and physical environmental data from off the coast of Juneau, Alaska from 2015-2016 (SEAK-AHAB project) (Enhancing Sustainability of Shellfish Harvest in Alaska: Addressing the Ecology of Alexandrium Blooms and their Sociocultural Impacts) | Phytoplankton abudance and physical environmental data from off the coast of Juneau, Alaska from 2015-2016 (SEAK-AHAB project)\n\ncdm_data_type = Other\nVARIABLES:\nyear (unitless)\ninvestigator (unitless)\ninstrument (unitless)\nstation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsite_type (unitless)\nsampling_event (unitless)\ndate (unitless)\ntime_zone (unitless)\ntime_local (unitless)\nair_temp (celsius)\nsurface_salinity (Sea Water Practical Salinity, parts per thousand (PPT))\nsurface_temp (celsius)\nweather (unitless)\ntide (unitless)\ndepth (m)\ndinoflagellates (count)\ndiatoms (count)\nAlexandrium_sp (count)\nISO_DateTime_Local (ISO Date Time Local, unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_660429_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_660429/index.htmlTable | https://www.bco-dmo.org/dataset/660429
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_660429.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_660429&showErrors=false&email= | BCO-DMO | bcodmo_dataset_660429 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_984885_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_984885_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_984885_v1/ | public | [Phytoplankton Cell Abundance] - Phytoplankton abundance in seawater samples collected from Project \"DaVINCi\" incubations in the Gulf of Naples, Italy from April to May 2022 (Shunt or shuttle? Nutrient-driven biogeochemical consequences of diatom host-virus interactions) | Phytoplankton abundance was measured on Lugol's-fixed seawater samples collected from nutrient amendment experiments conducted on surface water collected at the Long-Term Ecological Monitoring Station, MareChiara, in the Gulf of Naples, Italy, between April 20 and May 19, 2022. Phytoplankton were counted on an inverted microscope following Utermhöl settling. These incubations were part of a field study on \"Diatom Virus Infection of Natural Communities\" (DaVINCi) and were aimed at understanding the role of silicon limitation in driving diatom viral infection.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nIncubation (unitless)\nBag (unitless)\nIncubation_Timepoint_d (day)\nTreatment (unitless)\nReplicate (unitless)\nDiatoms (cells per liter (cells/L))\nDinoflagellates (cells per liter (cells/L))\nCoccolithophores (cells per liter (cells/L))\nOther_flagellates (cells per liter (cells/L))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_984885_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/984885
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_984885_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_984885_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_984885_v1 |