BCO-DMO ERDDAP
Accessing BCO-DMO data |
log in
Brought to you by BCO-DMO |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv |
attribute | NC_GLOBAL | acquisition_description | String | Detailed methods can be found in McCormick, LR; Levin, LA; Oesch, NW. 2019.\nVision is highly sensitive to oxygen availability in marine invertebrate\nlarvae. Journal of Experimental Biology 222, jeb200899.\ndoi:10.1242/jeb.200899. Data shown in Figure 1, bottom panel.\n \nBriefly, the time series test recorded electroretinogram (ERG) responses to a\n1 s square step of light at a constant irradiance of 3.56 \\u03bcmol photons\nm\\u22122 s\\u22121 repeated every 20 s, providing a nearly continuous measure\nof ERG response in a tethered, live larva during the experimental manipulation\nof partial pressure of oxygen (pO2). There was a constant flow of pH-buffered\nsterile seawater in the chamber where the larva was held, and after a brief\nperiod in \\u201cnormoxia\\u201d (surface-ocean oxygen levels), the pO2 was\ndecreased, and then held at a low pO2 before re-oxygenating the solution. This\ndataset shows the three visual metrics that were calculated to quantify the\neffects of reduced pO2 on retinal function. V90, V50, and V10 were calculated\nfor each individual larva as the oxygen where there was 90%, 50%, and 10%\nretinal function remaining, in respect to retinal responses in normoxia\n(surface-ocean oxygen levels).\n \nOxygen was measured using a Microx4 (PreSens) oxygen meter and a Pst-7 oxygen\noptode probe. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 775842 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1829623 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1829623 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_0_program_manager | String | David L. Garrison |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Oxygen metrics \n PI: Lisa A. Levin \n Data Version 1: 2019-10-29 |
attribute | NC_GLOBAL | Conventions | String | COARDS, CF-1.6, ACDD-1.3 |
attribute | NC_GLOBAL | creator_email | String | info at bco-dmo.org |
attribute | NC_GLOBAL | creator_name | String | BCO-DMO |
attribute | NC_GLOBAL | creator_type | String | institution |
attribute | NC_GLOBAL | creator_url | String | https://www.bco-dmo.org/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
attribute | NC_GLOBAL | date_created | String | 2019-10-23T19:47:50Z |
attribute | NC_GLOBAL | date_modified | String | 2019-11-01T15:44:49Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.779425.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/779425 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | O2 microsensor |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Oxygen was measured using a Microx4 (PreSens) oxygen meter and a Pst-7 oxygen optode probe. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 779903 |
attribute | NC_GLOBAL | instruments_0_description | String | A miniaturized Clark-type dissolved oxygen instrument, including glass micro-sensors with minute tips (diameters ranging from 1 to 800 um). A gold or platinum sensing cathode is polarized against an internal reference and, driven by external partial pressure, oxygen from the environment penetrates through the sensor tip membrane and is reduced at the sensing cathode surface. A picoammeter converts the resulting reduction current to a signal. The size of the signal generated by the electrode is proportional to the flux of oxygen molecules to the cathode.The sensor also includes a polarized guard cathode, which scavenges oxygen in the electrolyte, thus minimizing zero-current and pre-polarization time.With the addition of a meter and a sample chamber, the respiration of a small specimen can be measured. Example: Strathkelvin Inst. http://www.strathkelvin.com |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/351/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Oxygen Microelectrode Sensor |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 701 |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, chemical, data, dataset, dmo, erddap, experiment, Experiment_Name, management, metric, name, O2, O2_ml_l, O2_pO2, O2_umol_kg, O2_umol_l, oceanography, office, oxygen, preliminary, species, umol |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/779425/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/779425 |
attribute | NC_GLOBAL | param_mapping | String | {'779425': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/779425/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | University of California-San Diego |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | UCSD |
attribute | NC_GLOBAL | people_0_person_name | String | Lisa A Levin |
attribute | NC_GLOBAL | people_0_person_nid | String | 51242 |
attribute | NC_GLOBAL | people_0_role | String | Principal Investigator |
attribute | NC_GLOBAL | people_0_role_type | String | originator |
attribute | NC_GLOBAL | people_1_affiliation | String | University of California-San Diego |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | UCSD |
attribute | NC_GLOBAL | people_1_person_name | String | Nicholas Oesch |
attribute | NC_GLOBAL | people_1_person_nid | String | 775846 |
attribute | NC_GLOBAL | people_1_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_1_role_type | String | originator |
attribute | NC_GLOBAL | people_2_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_2_person_name | String | Karen Soenen |
attribute | NC_GLOBAL | people_2_person_nid | String | 748773 |
attribute | NC_GLOBAL | people_2_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_2_role_type | String | related |
attribute | NC_GLOBAL | project | String | Vision under hypoxia |
attribute | NC_GLOBAL | projects_0_acronym | String | Vision under hypoxia |
attribute | NC_GLOBAL | projects_0_description | String | NSF abstract:\nOxygen is being lost in the ocean worldwide as a result of ocean warming and the input of nutrients from land. Vision requires a large amount of oxygen, and may be less effective or require more light when oxygen is in short supply. This is especially true for active marine animals with complex eyes and visual capabilities, including active arthropods (crabs), cephalopods (squid), and fish. The California coastal waters exhibit a sharp drop in oxygen and light with increasing water depth. This project examines how visual physiology and ecology in young (larval) highly visual marine animals respond to oxygen loss, with a focus on key fisheries and aquaculture species. Experiments and observations will test the hypothesis that oxygen stress will change the light required for these organisms to see effectively, influencing the water depths where they can live and survive. The project will provide interdisciplinary experiences to students and an early career scientist and inform both the public (through outreach at the Birch Aquarium at Scripps Institution of Oceanography) and policy makers about the effects of oxygen decline in the ocean.\nNegative effects of oxygen loss on vision have been described for humans and other terrestrial organisms, but never in the marine environment, despite the large changes in oxygen that can occur with depth and over time in the ocean, and the high metabolic demand of visual systems. This project will test the effects of low oxygen on vision in 3 combinations of eye design and photo-transduction mechanisms: compound eye with rhabdomeric photoreceptors (arthropods), simple eye with rhabdomeric photoreceptors (cephalopods), and simple eye with ciliary photoreceptors (fish). A series of oxygen- and light-controlled laboratory experiments will be conducted on representative taxa of each group including the tuna crab, Pleuroncodes planipes; the market squid, Doryteuthis opalescens, and the white sea bass, Atractoscion nobilis. In vivo electrophysiology and behavioral phototaxis experiments will identify new oxygen metrics for visual physiology and function, and will be compared to metabolic thresholds determined in respiration experiments. Hydrographic data collected over 3 decades by the CalCOFI program in the Southern California Bight will be evaluated with respect to visual and metabolic limits to determine the consequences of oxygen variation on the critical luminoxyscape (range of oxygen and light conditions required for visual physiology and function in target species) boundary in each species. Findings for the three vision-based functional groups may test whether oxygen-limited visual responses offer an additional explanation for the shoaling of species distributions among highly visual pelagic taxa in low oxygen, and will help to focus future research efforts and better understand the stressors contributing to habitat compression with expanding oxygen loss in the ocean.\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2020-09 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Southern California Bight, Northeast Pacific Ocean |
attribute | NC_GLOBAL | projects_0_name | String | Vision-mediated influence of low oxygen on the physiology and ecology of marine larvae |
attribute | NC_GLOBAL | projects_0_project_nid | String | 775843 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2018-10 |
attribute | NC_GLOBAL | publisher_name | String | Biological and Chemical Oceanographic Data Management Office (BCO-DMO) |
attribute | NC_GLOBAL | publisher_type | String | institution |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | Oxygen metrics for retinal function in marine invertebrate larvae determined with electroretinograms |
attribute | NC_GLOBAL | title | String | [Oxygen Metrics] - Oxygen metrics for retinal function in marine invertebrate larvae determined with electroretinograms (Vision-mediated influence of low oxygen on the physiology and ecology of marine larvae) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | Species | String | ||
attribute | Species | bcodmo_name | String | species |
attribute | Species | description | String | Species name. |
attribute | Species | long_name | String | Species |
attribute | Species | units | String | unitless |
variable | Experiment_Name | String | ||
attribute | Experiment_Name | bcodmo_name | String | exp_id |
attribute | Experiment_Name | description | String | Original experiment name that can be linked back to raw datafile collected in Igor. |
attribute | Experiment_Name | long_name | String | Experiment Name |
attribute | Experiment_Name | units | String | unitless |
variable | Metric | String | ||
attribute | Metric | bcodmo_name | String | unknown |
attribute | Metric | description | String | One of three oxygen metrics for retinal function calculated in McCormick et al. |
attribute | Metric | long_name | String | Metric |
attribute | Metric | units | String | unitless |
variable | O2_umol_l | float | ||
attribute | O2_umol_l | _FillValue | float | NaN |
attribute | O2_umol_l | actual_range | float | 52.858, 278.834 |
attribute | O2_umol_l | bcodmo_name | String | dissolved Oxygen |
attribute | O2_umol_l | description | String | Oxygen concentration in umol O2/L of the given metric. |
attribute | O2_umol_l | long_name | String | O2 Umol L |
attribute | O2_umol_l | units | String | micromole per liter (umol/L) |
variable | O2_ml_l | double | ||
attribute | O2_ml_l | _FillValue | double | NaN |
attribute | O2_ml_l | actual_range | double | 1.258705603, 6.671416134 |
attribute | O2_ml_l | bcodmo_name | String | dissolved Oxygen |
attribute | O2_ml_l | description | String | Oxygen concentration in mL O2/L of the given metric. |
attribute | O2_ml_l | long_name | String | O2 Ml L |
attribute | O2_ml_l | units | String | milliliter per liter (ml/l) |
variable | O2_umol_kg | double | ||
attribute | O2_umol_kg | _FillValue | double | NaN |
attribute | O2_umol_kg | actual_range | double | 51.55221122, 272.1230455 |
attribute | O2_umol_kg | bcodmo_name | String | dissolved Oxygen |
attribute | O2_umol_kg | description | String | Oxygen concentration in umol O2/kg of the given metric. |
attribute | O2_umol_kg | long_name | String | O2 Umol Kg |
attribute | O2_umol_kg | units | String | micromole per kg (umol/kg) |
variable | O2_pO2 | double | ||
attribute | O2_pO2 | _FillValue | double | NaN |
attribute | O2_pO2 | actual_range | double | 4.394383386, 23.32529845 |
attribute | O2_pO2 | bcodmo_name | String | dissolved Oxygen |
attribute | O2_pO2 | description | String | The partial pressure of oxygen of the given metric. |
attribute | O2_pO2 | long_name | String | O2 P O2 |
attribute | O2_pO2 | units | String | kiloPascale (kPa) |