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 Email 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 (external link) 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_986250_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986250_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986250_v1/ public [2023 CBL Seine Dissection Results] - Stomach dissection results from fish caught in Chesapeake Biological Laboratory's seine survey in Summer 2023 (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 night time seine survey (August-September) conducted by Chesapeake Biological Laboratory. The fish were kept based on previous evidence of consuming mysids and what other studies have determined to consume mysids. The dissection data include the individual fish identification number, date and time 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 (amphipods, fish, insects, mysids, polychetes, crabs, foliage, shrimp, isopods), the items found in the stomachs, and comments about each dissection. Dissections took place from October 2023 to January 2024. 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)\nISO_DateTime_Local (unitless)\nDate_Caught (unitless)\nTime_Caught (unitless)\nLocation_Survey (unitless)\nSpecies (unitless)\nTotal_Length_mm (millimeters (mm))\nTotal_Weight_g (grams (g))\nFull_Stomach_g (grams (g))\nEmpty_Stomach_g (grams (g))\nMysids_count (unitless)\nMysids_present (unitless)\nAmphipods (unitless)\nFish (unitless)\nInsects (unitless)\nPolychetes (unitless)\nCrabs (unitless)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986250_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986250 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986250_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986250_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986250_v1
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
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_713225 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_713225.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_713225/ public [Trial IDs for spawning experiments] - Identifications of M. beryllina individuals collected in Suisun Bay, California and used in trials for spawning experiments conducted from 2012 to 2013. (Impacts of size-selective mortality on sex-changing fishes) Identifications of M. beryllina individuals collected in Suisun Bay, California and used in trials for spawning experiments conducted from 2012 to 2013.\n\ncdm_data_type = Other\nVARIABLES:\ntrial (unitless)\nfish (unitless)\ndate_end (unitless)\nnotes (unitless)\ntank (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_713225/index.htmlTable https://www.bco-dmo.org/dataset/713225 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_713225.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_713225&showErrors=false&email= BCO-DMO bcodmo_dataset_713225

 
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