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Dataset Title:  Data from experiments testing the effects of hypoxia on behavior and
physiology of two species of rockfish from from 2015-2016
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_809321)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Fish_ID {
    Float32 _FillValue NaN;
    Float32 actual_range 1.0, 220.0;
    String bcodmo_name "individual";
    String description "Unique identifer";
    String long_name "Fish ID";
    String units "unitless";
  Species {
    String bcodmo_name "species";
    String description "Species used in the experiments";
    String long_name "Species";
    String units "unitless";
  Oxygen_treatment_mg_per_L {
    Float32 _FillValue NaN;
    Float32 actual_range 2.2, 8.4;
    String bcodmo_name "treatment";
    String description "Experimental treatment condition";
    String long_name "Oxygen Treatment Mg Per L";
    String units "milligrams O2 per liter (mg/L)";
  Tank_Replicate {
    String bcodmo_name "replicate";
    String description "Two replicate tanks (A and B) per treatment";
    String long_name "Tank Replicate";
    String units "unitless";
  Initial_Standard_Length_mm {
    Float32 _FillValue NaN;
    Float32 actual_range 29.0, 56.3;
    String bcodmo_name "length";
    String description "Initial length measured from tip of mouth to hypural bones";
    String long_name "Initial Standard Length Mm";
    String units "millimeters (mm)";
  Initial_Total_Length_mm {
    Float32 _FillValue NaN;
    Float32 actual_range 36.2, 67.6;
    String bcodmo_name "length";
    String description "Initial length measured from tip of mouth to end of caudal fin";
    String long_name "Initial Total Length Mm";
    String units "millimeters (mm)";
  Initial_Weight_g {
    Float32 _FillValue NaN;
    Float32 actual_range 0.411, 3.272;
    String bcodmo_name "weight";
    String description "Initial weight";
    String long_name "Initial Weight G";
    String units "grams (g)";
  Date_entered_into_experimental_treatments {
    String bcodmo_name "date";
    String description "Date entered into experimental treatments; format: yyyy-mm-dd";
    String long_name "Date Entered Into Experimental Treatments";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  Date_at_end_of_experiment {
    String bcodmo_name "date";
    String description "Date at end of experiment; format: yyyy-mm-dd";
    String long_name "Date At End Of Experiment";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  Final_Standard_Length_mm {
    Float32 _FillValue NaN;
    Float32 actual_range 41.9, 73.5;
    String bcodmo_name "length";
    String description "Final length measured from tip of mouth to hypural bones";
    String long_name "Final Standard Length Mm";
    String units "millimeters (mm)";
  Final_Total_Length_mm {
    Float32 _FillValue NaN;
    Float32 actual_range 51.2, 86.8;
    String bcodmo_name "length";
    String description "Final length measured from tip of mouth to end of caudal fin";
    String long_name "Final Total Length Mm";
    String units "millimeters (mm)";
  Final_Weight_g {
    Float32 _FillValue NaN;
    Float32 actual_range 1.12, 548.0;
    String bcodmo_name "weight";
    String description "Final weight";
    String long_name "Final Weight G";
    String units "grams (g)";
  Escape_Time_seconds {
    Int16 _FillValue 32767;
    Int16 actual_range 3, 2100;
    String bcodmo_name "time_elapsed";
    String description "Time required for fish to exit the chamber";
    String long_name "Escape Time Seconds";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/";
    String units "seconds";
  Relative_Lateralization_Score {
    Byte _FillValue 127;
    Byte actual_range -100, 100;
    String bcodmo_name "sample_descrip";
    String description "Percent of time fish turned right (positive score) or left (negative score)";
    String long_name "Relative Lateralization Score";
    String units "unitless (percent)";
  Absolute_Lateralization_Score {
    Byte _FillValue 127;
    Byte actual_range 0, 100;
    String bcodmo_name "sample_descrip";
    String description "Percent of time fish showed a turn bias out of 10 trials";
    String long_name "Absolute Lateralization Score";
    String units "unitless (percent)";
  Ventilation_rate_operculum_beats_per_minute {
    Float64 _FillValue NaN;
    Float64 actual_range 18.33333333, 90.0;
    String bcodmo_name "respiration";
    String description "Average number of breaths per minute";
    String long_name "Ventilation Rate Operculum Beats Per Minute";
    String units "breaths per minute (BPM)";
  Standard_Metabolic_Rate_mg_O2_per_kg_per_hour {
    Float32 _FillValue NaN;
    Float32 actual_range 52.0, 197.27;
    String bcodmo_name "O2 consumption";
    String description "Oxygen consumption of fish at rest";
    String long_name "Standard Metabolic Rate Mg O2 Per Kg Per Hour";
    String units "milligrams O2 per kilogram per hour";
  Maximum_Metabolic_Rate_mg_O2_per_kg_per_hour {
    Float32 _FillValue NaN;
    Float32 actual_range 101.82, 361.0;
    String bcodmo_name "O2 consumption";
    String description "Oxygen consumption of fish after exercise";
    String long_name "Maximum Metabolic Rate Mg O2 Per Kg Per Hour";
    String units "milligrams O2 per kilogram per hour";
  Aerobic_Scope_mg_O2_per_kg_per_hour {
    Float32 _FillValue NaN;
    Float32 actual_range 6.37, 227.83;
    String bcodmo_name "O2 consumption";
    String description "Difference between standard and maximum metabolic rate";
    String long_name "Aerobic Scope Mg O2 Per Kg Per Hour";
    String units "milligrams O2 per kilogram per hour";
  Pcrit_pcnt_air_saturation {
    Float32 _FillValue NaN;
    Float32 actual_range 12.4595, 34.3444;
    String bcodmo_name "O2sat";
    String description "Measure of hypoxia tolerance as percent air saturation";
    String long_name "Pcrit Pcnt Air Saturation";
    String units "unitless (percent)";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Experimental design  
 Experiments subjecting juvenile rockfishes to simulated future DO levels
were conducted at the seawater aquarium facility at the NOAA Southwest
Fisheries Science Center laboratory in Santa Cruz, CA. Juvenile rockfishes
were exposed to one of four treatment levels corresponding to conditions that
currently occur or are predicted to occur in the future on the central
California coast: 100% saturation (8.74 \\u00b1 0.03 mg O2 L-1), 68% saturation
(6.00 \\u00b1 0.04 mg O2 L-1), 46% saturation (4.06 \\u00b1 0.04 mg O2 L-1), or
26% saturation (2.25 \\u00b1 0.05 mg O2 L-1), with two replicate tanks per
treatment level. These levels were maintained for the duration of the
experiment to simulate chronic exposure to prolonged hypoxia events and
oxygen, pH, and temperature levels in all the treatment tanks were measured
daily using a HACH HQ40D multiparameter meter. All experimental trials were
conducted under constant temperature (12\\u02daC) and pH (~8.05), with the same
DO levels as the rearing tank of the fish being tested.
To manipulate oxygen levels, seawater was first pumped from offshore through a
series of settling tanks and sand filters and held in a 2000 L reservoir tank
maintained at a constant temperature (12\\u02daC) with aquarium chillers and
aerated to approximately 100% air saturation (~9.0 mg O2 L-1). This source
water was fed into four 500 L treatment reservoirs, which were used to create
desired DO concentrations by bubbling nitrogen (N2) gas to strip O2 from the
water. Gas delivery was controlled by the program WitroxView via solenoid
valves, and O2 levels were monitored using Loligo Systems optical oxygen
probes. Manipulated (or control) water was delivered at a rate of 20 ml s-1 to
80 L experimental tanks in a single-pass, flow-through design.\\u00a0
Ten randomly assigned juvenile rockfish of each species were introduced into
each of two replicate tanks for each treatment (20 fish per treatment per
species). All tanks were covered to minimize visual disturbance from
investigators. Sections of plastic construction fencing material measuring 90
x 120 cm were bunched together and placed in each tank to simulate kelp
habitat structure. The two replicate tanks per treatment were fed on
alternating days and used in experiments on non-feeding days, thereby ensuring
a 36-48 hour fasting period prior to behavioral or physiological trials.
Fishes were fed to satiation with frozen, high protein krill on feeding days.
Prior to conducting any behavioral or physiological measurements, fish were
allowed a minimum of 5 days to recover in their treatment tanks from any
previous trial. See Table 1 of\\u00a0Mattiasen et al. (2020) for the schedule
of the various experimental trials.
Escape response  
 Escape response trials tested the time required for a fish to find the exit
of an enclosed chamber (Jutfelt et al. 2013). Escape chambers were composed of
a PVC tube measuring 28 cm tall x 9 cm diameter with a 5 cm diameter hole cut
in the side. A slit located 8 cm from the top of the chamber allowed a black
plexiglass divider to be inserted, retaining fish in the top half of the
chamber during the acclimation period. Removal of the divider released the
fish into the lower portion of the chamber at the start of the timed trial.
Escape chambers were placed in 40 L insulated aquaria on a water table to
control temperatures. A total of six replicated escape chambers and aquaria
were used, allowing for six simultaneous trials. Individual fish were
transferred into the top of the chamber and allowed a 15 min acclimation
period. At the end of the acclimation period the divider was removed without
visual interference by the investigator. Observers watched a mirror above the
tanks and recorded the time at which each fish exited the chamber (defined as
the time at which the head of the fish exited the chamber). Trials were
terminated after 10 min regardless of whether the fish exited.
Behavioral lateralization  
 Brain functional asymmetry and behavioral lateralization reflect the bias
for left vs. right turning decisions in a detour test. To measure
lateralization in response to DO treatment conditions, a detour test was
employed with a double T-Maze (Domenici et al., 2007). Individual fish were
transferred into one end of the two-way T-Maze (50 x 30 x 25 cm L x W x H
aquaria), and allowed to acclimate for 3 minutes. The starting side was
alternated for every trial to minimize the potential for side bias. After the
acclimation period, the fish was gently coaxed to swim down the center channel
(without touching the fish) using a long PVC bar, and when it reached a
barrier at the end of the channel, the fish had to decide to turn right or
left. The turn direction was recorded and the experiment was repeated 10
times, 5 times in each direction. Each trial took approximately 10 minutes to
complete. Absolute lateralization (LA) was calculated as
LA = (|# right turns \\u2013 # left turns| )/(# right turns + # left turns) x
as an index of non-directional turn bias. LA reflects whether turn bias exists
at the population level, irrespective of direction. Relative lateralization
(LR\\u00ac) was also calculated to determine whether the fish in a particular
treatment exhibited turning bias for a particular direction (i.e., left or
right preference). LR was calculated as
LR = (# right turns \\u2013 # left turns)/(# right turns + # left turns) x 100
Positive values indicate a right turning bias, while negative values indicate
a left turning bias.
Critical oxygen tension (pCrit)  
 A subset of 8 individuals per species from each treatment was tested for
hypoxia tolerance by estimating pCrit using an automated intermittent flow
respirometry system (Loligo Systems). Fish were placed in sealed respirometry
chambers overnight at their treatment oxygen levels to acclimate to the
chambers. Subsequently, pCrit trials were initiated by raising the oxygen
saturation of the reservoir to 70% air saturation and three MO2 measurement
loops (5 min flush, 10 min wait, 5 min measurement) were recorded at each
oxygen level. The DO level was then reduced in a step-wise fashion by 10% air
saturation, through the addition of N2 gas until reaching 40% air saturation,
below which oxygen saturation was reduced at 5% intervals until reaching 10%
air saturation, at which point the trial was terminated. This approach allowed
us to obtain a more precise measurement of pCrit and to reduce risk of
inadvertent mortality.
Oxygen consumption rate (MO2 in mg O2 kg-1 hr-1) was calculated using the
following equation:
MO2 = \\u2206PO2 V\\u221dM-1 \\u2206t-1
Where \\u2206PO2 is the change in water partial pressure of O2 (mmHg), \\u2206t
is the elapsed time (h), V is the volume of the respirometer chamber minus the
volume of the fish (cm3), M is the total mass of the animal (kg), and \\u221d
is the O2 solubility coefficient at the experimental temperature (Boutilier et
al., 1988). The respirometry system was cleaned using dilute bleach after each
trial to eliminate the influence of microbial respiration on subsequent
trials. pCrit was calculated for each fish using the broken stick regression
method (Toms and Lesperance, 2003) by computing the oxygen saturation level at
which the metabolic rate began to decrease linearly with decreasing DO.
Aerobic scope  
 Aerobic scope is the difference between the standard (or resting) metabolic
rate (SMR) and the maximum metabolic rate (MMR). We measured the SMR on a
subset of 8 fish per species per treatment using the intermittent flow
respirometry system. Four individuals at a time were weighed and placed into
separate respirometer chambers, with MO2 measurements taken over a 12 hr
period overnight. SMR was measured during nighttime hours to capture the MO2
at the time where the fish were at their lowest metabolic activity levels. The
lowest 10% of MO2 measurements per cycle, excluding outliers (values > 2
standard deviations), were used to calculate the SMR of each individual fish
(Clark et al., 2012). MMR was subsequently measured following swimming to
exhaustion using a Loligo Systems 10 L swim flume (model #SW10100). Exhaustion
was achieved by swimming the fish for 5 minutes at a velocity one-body length
per second below the estimated average critical swimming speed of the group
(N. Kashef, unpublished data). The fish were then quickly returned to the
respirometry chambers and run for one measurement cycle to acquire MMR.
Preliminary trials concluded that the highest MO2 values occurred directly
following swimming to exhaustion. Aerobic scope was calculated by subtracting
the SMR from the MMR.
Ventilation rate  
 Ventilation rate was measured on a subset of 10 individuals per species per
treatment using a specially designed array of 10 experimental chambers (5 x 15
cm, water depth 4 cm), each holding an individual fish. Each chamber received
flow-through seawater of the appropriate rearing DO treatment and constant
temperature (12\\u02daC). Following a two-hour acclimation period, two GoPro
HERO4 video cameras recorded each fish for 30 minutes. Ventilation rate was
determined by counting the number of open/closing cycles of the gill operculum
within a minute (i.e., ventilations per minute [VPM]). Average VPM for each
fish was calculated for 3 randomly selected one-minute measurements.
Problem report: Some individual fish were used in each of the behavioral and
physiological trials, while other fish were only tested in a subset of the
possible experimental trials. In addition, if any fish died in the course of
the experiments, they were replaced by a new fish.";
    String awards_0_award_nid "532620";
    String awards_0_award_number "EF-1416895";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1416895";
    String awards_0_funder_name "NSF Emerging Frontiers Division";
    String awards_0_funding_acronym "NSF EF";
    String awards_0_funding_source_nid "392";
    String awards_0_program_manager "Irwin Forseth";
    String awards_0_program_manager_nid "520504";
    String cdm_data_type "Other";
    String comment 
"Rockfish hypoxia experiments 
  PI: Scott Hamilton (Moss Landing Marine Laboratories) 
  Version date: 14 April 2020";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2020-04-14T19:42:57Z";
    String date_modified "2020-04-15T19:34:41Z";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.809321.1";
    String history 
"2024-03-02T05:35:49Z (local files)
2024-03-02T05:35:49Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_809321.das";
    String infoUrl "https://www.bco-dmo.org/dataset/809321";
    String institution "BCO-DMO";
    String instruments_0_acronym "camera";
    String instruments_0_dataset_instrument_nid "809358";
    String instruments_0_description "All types of photographic equipment including stills, video, film and digital systems.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/311/";
    String instruments_0_instrument_name "Camera";
    String instruments_0_instrument_nid "520";
    String instruments_0_supplied_name "GoPro HERO4 video camera";
    String instruments_1_acronym "Dissolved Oxygen Sensor";
    String instruments_1_dataset_instrument_nid "809357";
    String instruments_1_description "An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed";
    String instruments_1_instrument_name "Dissolved Oxygen Sensor";
    String instruments_1_instrument_nid "705";
    String instruments_1_supplied_name "Loligo Systems optical oxygen probes";
    String instruments_2_acronym "Aquarium";
    String instruments_2_dataset_instrument_nid "809355";
    String instruments_2_description "Aquarium - a vivarium consisting of at least one transparent side in which water-dwelling plants or animals are kept";
    String instruments_2_instrument_name "Aquarium";
    String instruments_2_instrument_nid "711";
    String instruments_3_acronym "Aquarium chiller";
    String instruments_3_dataset_instrument_nid "809356";
    String instruments_3_description "Immersible or in-line liquid cooling device, usually with temperature control.";
    String instruments_3_instrument_name "Aquarium chiller";
    String instruments_3_instrument_nid "522982";
    String instruments_4_acronym "Hand Net";
    String instruments_4_dataset_instrument_nid "809353";
    String instruments_4_description "A hand net (also called a scoop net or dip net) is a net or mesh basket held open by a hoop. They are used for scooping fish near the surface of the water.";
    String instruments_4_instrument_name "Hand Net";
    String instruments_4_instrument_nid "682469";
    String instruments_4_supplied_name "large mesh hand nets";
    String instruments_5_acronym "SCUBA";
    String instruments_5_dataset_instrument_nid "809354";
    String instruments_5_description 
"The self-contained underwater breathing apparatus or scuba diving system is the result of technological developments and innovations that began almost 300 years ago. Scuba diving is the most extensively used system for breathing underwater by recreational divers throughout the world and in various forms is also widely used to perform underwater work for military, scientific, and commercial purposes.

Reference: http://oceanexplorer.noaa.gov/technology/diving/diving.html";
    String instruments_5_instrument_name "Self-Contained Underwater Breathing Apparatus";
    String instruments_5_instrument_nid "713363";
    String instruments_5_supplied_name "SCUBA";
    String keywords "absolute, Absolute_Lateralization_Score, aerobic, Aerobic_Scope_mg_O2_per_kg_per_hour, air, bco, bco-dmo, beats, biological, chemical, data, dataset, date, Date_at_end_of_experiment, Date_entered_into_experimental_treatments, dmo, end, entered, erddap, escape, Escape_Time_seconds, experiment, experimental, final, Final_Standard_Length_mm, Final_Total_Length_mm, Final_Weight_g, fish, Fish_ID, hour, initial, Initial_Standard_Length_mm, Initial_Total_Length_mm, Initial_Weight_g, into, lateralization, length, management, maximum, Maximum_Metabolic_Rate_mg_O2_per_kg_per_hour, metabolic, minute, O2, oceanography, office, operculum, oxygen, Oxygen_treatment_mg_per_L, pcnt, pcrit, Pcrit_pcnt_air_saturation, per, preliminary, rate, relative, Relative_Lateralization_Score, replicate, saturation, scope, score, seconds, species, standard, Standard_Metabolic_Rate_mg_O2_per_kg_per_hour, tank, Tank_Replicate, time, total, treatment, treatments, ventilation, Ventilation_rate_operculum_beats_per_minute, weight";
    String license "https://www.bco-dmo.org/dataset/809321/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/809321";
    String param_mapping "{'809321': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/809321/parameters";
    String people_0_affiliation "Moss Landing Marine Laboratories";
    String people_0_affiliation_acronym "MLML";
    String people_0_person_name "Scott Hamilton";
    String people_0_person_nid "516017";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "OA Hypoxia Rockfish";
    String projects_0_acronym "OA Hypoxia Rockfish";
    String projects_0_description 
"NSF Award Abstract:
For near shore marine species inhabiting upwelling ecosystems such as the California Current, climate change resulting from the anthropogenic release of CO2 into the atmosphere is likely to induce concurrent conditions of ocean acidification (OA) and hypoxia, which are exacerbated during periods of seasonal upwelling. Although marine fishes have generally been presumed to be tolerant of OA due to their competence in acid-base regulation, recent studies in tropical regions suggest that early life stages may be particularly sensitive to elevated levels of dissolved CO2 (which lowers seawater pH) by impairing respiration, acid-base regulation, and neurotransmitter function. Low levels of dissolved oxygen (DO), which occur during hypoxia, can likewise impact the behavior, physiology and survival of marine fishes. Few studies have addressed the potential interactive effects of a low pH, low DO environment. From molecular tools to whole animal physiology, this research will provide an in-depth examination of an inherently integrative process. The study will use a multiple stressor framework to address the potential threats posed by the independent and combined effects of OA and hypoxia on behavior, physiological capacity, and gene expression in temperate reef fishes. Because mortality in early life stages has important carryover effects, understanding the effects of these stressors is critical for predicting future climate change responses of global fish populations. Such information will lay the groundwork for further studies that address the synergistic effects of multiple stressors and the characteristics of California Current species that influence their ability to tolerate or adapt to changes in ocean chemistry in a rapidly changing climate.
The project goals are to use a combination of laboratory and field studies to examine ecologically and physiologically relevant responses of juvenile rockfish (genus Sebastes) to the independent and interactive effects of ocean acidification and hypoxia. Rockfish will be captured in the field and then reared in the lab at 4 different pCO2 levels and 4 different DO levels to simulate changes in environmental conditions. Response variables include:  (1) measures of changes in olfactory capabilities, brain functional asymmetry and problem-solving ability and (2) effects on swimming capabilities, respiration, aerobic performance, and growth. In addition, we will use next generation transcriptome sequencing to examine genome-wide changes in gene expression and enzyme activity for Na+/K+ ATPase (NKA), citrate synthase (CS), and lactate dehydrogenase (LDH), as proxies for acid-base compensation and metabolic shifts between aerobic and anaerobic metabolism. Oceanographic sensors will be deployed in the field to determine the frequency and intensity of hypoxia and low pH events in near shore habitats in Northern and Central California. Adaptive sampling of juvenile rockfish will be used to evaluate gene expression and physiological responses in individuals exposed in situ to low pH and low DO events in the field. The effects of OA and hypoxia will be compared across rockfish species with different life histories (e.g. larval duration, timing of spawning, etc.) and collected from regions differing in exposure to low pH/low DO events to address the potential for local adaptation. The focus of this project is on responses of the early juvenile stage at the time of settlement, because this stage is exposed to near shore changes in ocean chemistry during a critical period where physiological stress and behavioral disruptions may have the strongest demographic effects due to increased risk of predation.";
    String projects_0_end_date "2019-08";
    String projects_0_name "Collaborative Research: Ocean Acidification: RUI: Multiple Stressor Effects of Ocean Acidification and Hypoxia on Behavior, Physiology, and Gene Expression of Temperate Reef Fishes";
    String projects_0_project_nid "516018";
    String projects_0_start_date "2014-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This study investigated the effects of hypoxia on the behavior and physiology of juvenile rockfishes in a controlled laboratory setting to test how deoxygenation may impact early life stages of common temperate reef fishes. Juvenile rockfishes were collected from shallow rocky reef and kelp forest habitats at Stillwater Cove, central California (36\\u02da 34' N, 121\\u02da 56' W) during May-June of 2015. Newly settled copper (Sebastes caurinus) and blue (Sebastes mystinus) rockfish were reared in the laboratory under across a range of oxygen concentrations. Juvenile rockfishes were exposed to one of four dissolved oxygen treatment levels corresponding to conditions that currently occur or are predicted to occur in the future on the central California coast: 100% saturation (8.74 \\u00b1 0.03 mg O2 L-1), 68% saturation (6.00 \\u00b1 0.04 mg O2 L-1), 46% saturation (4.06 \\u00b1 0.04 mg O2 L-1), or 26% saturation (2.25 \\u00b1 0.05 mg O2 L-1), with two replicate tanks per treatment level. Behavior and physiological trials were conducted on each individual to test how each species responds to declining oxygen levels, including (1) escape response, (2) behavioral lateralization, (3) standard metabolic rate, (4) maximum metabolic rate, (5) aerobic scope, (6) pCrit (i.e., hypoxia tolerance test), and (7) ventilation rate. These data are published in Mattiasen et al. (2020).";
    String title "Data from experiments testing the effects of hypoxia on behavior and physiology of two species of rockfish from from 2015-2016";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";


Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
For example,
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

ERDDAP, Version 2.02
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