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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 | |
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| log in | [Flume experiment water chemistry July 2023] - Water chemistry and temperature measured within and above dense aggregation of mussels from a flume experiment conducted July 2023 (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels) | The project investigates how the metabolic activity of dense aggregations of marine organisms alter the water chemistry of their interstitial spaces, and how these microscale alterations feedback to affect the organisms' interactions in coastal ecosystems. The research evaluates whether corrosive chemical microclimates (such as low oxygen or low pH) are most extreme in low flow, high temperature conditions, especially for dense aggregations of mussels with large biomass and/or high respiration rates, and if they negatively impact mussel beds and the diverse biological communities they support. In order to address these questions, a flume experiment was conducted at Friday Harbor Laboratories where flow and chemical gradients were measured within and above a dense aggregation of mussels (Mytilus trossolus). Twenty profiles were taken over five days with 5 profiles taken for each of the four experimental flume speeds (0.25, 0.5, 1, and 1.5 inch/sec). Approximately 3-minute-long measurements were taken of velocity, dissolved oxygen, temperature, and pH every centimeter within the bed and two measurements were taken above the bed. Ambient conditions (dissolved oxygen, temperature, pH and conductivity) were also measured continuously using an array of HOBO loggers.\n\ncdm_data_type = Other\nVARIABLES:\nTrial (unitless)\nDay_of_week (unitless)\nFlow_speed (centimeters per second (cm/s))\nElevation (centimeters (cm))\nPyro_Date_UTC (unitless)\nPyro_Dissolved_Oxygen (percent air saturation)\nPyro_Temp (degrees Celsius (°C))\nPyro_pH (dimensionless)\nPyro_Adj_DO (milligrams per liter (mg/L))\nHOBO_Date_UTC (unitless)\nHOBO_Temp_pH_sensor (dimensionless)\nHOBO_pH_Millivolts (millivolts (mV))\nHOBO_pH (dimensionless)\nHOBO_DO_conc (milligrams per liter (mg/L))\n... (9 more variables)\n | BCO-DMO | bcodmo_dataset_982681_v1 | ||||||||||||
| log in | [Lottia gigantea body temperatures] - Lottia gigantea body temperatures from biomimetic loggers collected from the eight California intertidal sites from Jul 2023 to May 2024 (Evolutionary and ecological dynamics of a contemporary climate-driven range expansion) | As the climate warms, species distributions are shifting poleward, but we have a limited understanding of how organisms perform in their expanded range and the environmental drivers that modulate performance across latitude during range expansions. The abundant center hypothesis (ACH) predicts that abundance and performance decline towards the edge of a species' range and is the foundation for most predictive theory extended to the eco-evolutionary dynamics of range shifts. However, it is unclear how often these predictions are met during actual range shifts and under what contexts deviations are expected. \n\nHere, we use a poleward range expansion of an intertidal limpet (Lottia gigantea) to test predictions regarding patterns of performance and environmental drivers across the geographic range. We recorded body temperature using biomimetic loggers at eight intertidal sites along the California coast. This dataset includes the recorded temperature estimates made every 30 mins for the six loggers at each of the eight sites. Temperature estimates are separated into two parameters by tidal state (air_temp and water_temp): aerial body temperatures, comprising readings recorded within 90 minutes of the largest daily low tide, and immersion body temperatures, comprising readings recorded within 90 minutes of daily high tides. Mean body temperature and lower 5th percentile body temperature declined towards higher latitude sites, however, upper 95th percentile body temperatures varied as a mosaic across latitude.\n\ncdm_data_type = Other\nVARIABLES:\nair_temp (degrees Celsius)\nwater_temp (degrees Celsius)\nlogger (unitless)\nSite (unitless)\nDate (unitless)\ntime_local_pt (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nday_of_week (unitless)\nlogger_file (unitless)\n | BCO-DMO | bcodmo_dataset_1000461_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894148_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894148_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894148_v1/ | public | [Whelk-Barnacle Predation Experiments] - Results from mesocosm experiments measuring how temperature affects predation rates by whelks on barnacles (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) | These data contain results from mesocosm experiments measuring how temperature affects predation rates by whelks on barnacles. These results include barnacles eaten and whelk movements under warm and cold conditions. The experiments were done in the Galapagos Science Center in San Cristobal, Galapagos. Estimates of how temperature modifies activity and predation rates will help understand and predict changes in marine communities under future climate change scenarios.\n\ncdm_data_type = Other\nVARIABLES:\nDay_of_Week (unitless)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nAquarium (unitless)\nTreatment (unitless)\nTemperature (degrees Celsius)\nPosition_of_Whelk (unitless)\nWhelkPosition (unitless)\nDeadControl (unitless)\nDeadPrey (unitless)\nPreyEaten (unitless)\nNote (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894148_v1/index.htmlTable | https://www.bco-dmo.org/dataset/894148
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894148_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894148_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_894148_v1 |