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BCO-DMO ERDDAP
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| Dataset Title: | Tank seawater conditions from Coral/Temperature/pCO2 Experiments at LTER site in Moorea, French Polynesia, 2011 (OA_Corals project) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_641759) |
| Range: | longitude = -149.826 to -149.826°E, latitude = -17.4907 to -17.4907°N |
| Information: | Summary
| License
| ISO 19115
| Metadata
| Background
| Subset
| Data Access Form
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Zoom: ![[The graph you specified. Please be patient.]](https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_641759.png?longitude,latitude,tank&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff)
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Attributes {
s {
location {
String bcodmo_name "site";
String description "location of experiment";
String long_name "Location";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range -17.4907, -17.4907;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "latitude; north is positive";
String ioos_category "Location";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range -149.826, -149.826;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "longitude; east is positive";
String ioos_category "Location";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String standard_name "longitude";
String units "degrees_east";
}
pCO2 {
String bcodmo_name "pCO2";
String description "ambient (ACO2) and high (HCO2) CO2 concentration levels measured throughout the experiment";
String long_name "P CO2";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
String units "unitless";
}
tank {
Byte _FillValue 127;
Byte actual_range 1, 8;
String bcodmo_name "tank";
String description "tank number";
String long_name "Tank";
String units "unitless";
}
temp {
String bcodmo_name "temperature";
String description "tank temperature: AT=ambient (28.0 C); HT=high (30.1 C)";
String long_name "Temperature";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
String units "unitless";
}
treatment {
String bcodmo_name "treatment";
String description "AT-ACO2 = ambient temperature; ambient CO2; AT-HCO2 = ambient temperature-high CO2; HT-ACO2 = high temperature-ambient CO2; HT-HCO2 = high temperature-high CO2";
String long_name "Treatment";
String units "unitless";
}
pCO2_uatm {
Int16 _FillValue 32767;
Int16 actual_range 342, 978;
String bcodmo_name "pCO2";
String description "pCO2 concentration levels measured weekly throughout the experiment per tank";
String long_name "P CO2 Uatm";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
String units "micro-atmospheres";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description
"Experimental conditions and maintenance
Treatments were created in 8 tanks (Aqua Logic, San Diego), each holding 150 L
of seawater and regulated independently for temperature, light, and pCO2.
Temperatures were maintained at 28.0\\u00b0C, which corresponded to the ambient
seawater temperature in the back reef when the study was conducted, and
30.1\\u00b0C which is close to the maximum temperature in this habitat (Putnam
and Edmunds 2011). pCO2 treatments contrasted ambient conditions (~ 408 micro-
atm) and 913 micro-atm pCO2, with the elevated value expected to occur within
100 y under the \\\"stabilization without overshoot\\\" representative
concentration pathway (RCP 6.0) (van Vuuren et al. 2011). pCO2 treatments were
created by bubbling ambient air or a mixture of ambient air and pure CO2 that
was blended continually and monitored using an infrared gas analyzer (IRGA
model S151, Qubit Systems). A solenoid-controlled, gas regulation system
(Model A352, Qubit Systems, Ontario, Canada) regulated the flow of CO2 and
air, with pCO2 logged on a PC running LabPro software (Vemier Software and
Technology). Ambient air and the elevated pCO2 mixture were supplied at ~
10-15 L min-1 to treatment tanks using pumps (Gast pump DOA-P704-AA, see
Edmunds 2011).
The temperatures and pCO2 levels created four treatments with two tanks
treatment-1: ambient temperature-ambient pCO2 (AT-ACO2), ambient temperature-
high pCO2 (AT-HCO2), high temperature-ambient pCO2 (HT-ACO2) and high
temperature-high pCO2 (HT-HCO2). Treatment conditions were monitored daily,
with temperature measured at 08:00, 12:00 and 18:00 hrs using a digital
thermometer (Fisher Scientific model #150778, \\u00b1 0.05 \\u00b0C), and light
intensities at 12:00 hrs using a Li-Cor LI-193 sensor attached t 170 o a
LI-1400 meter. Seawater within each tank was replaced at 200 ml/min with
filtered seawater (50 micro-m) pumped from Cook\\u2019s Bay.
Carbonate chemistry and pH analysis
To evaluate dissolved inorganic carbon (DIC) conditions in the 8 tanks, total
alkalinity (TA) and pH of the seawater were recorded every third day of the
experiment. Seawater was collected between 07:00-09:00 hrs using stoppered
glass bottles, equilibrated to room temperature (25.0\\u00b0C), and processed
within 2-3 hrs of collection. TA was determined using an open cell
potentiometric titrator (Model T50, Mettler-Toledo, Columbus, OH) fitted with
a DG115-SC pH probe (Mettler-Toledo, Columbus, OH) calibrated daily using NBS
buffers (pH 4.00, 7.00 and 10.00, Fisher Scientific, 15-0787-8, \\u00b1 0.05
\\u00b0C), and used to perform gran titrations using standard operating
procedure 3 (SOP) of Dickson et al. (2007). Seawater pH was determined
spectrophotometrically using the dye m-cresol purple (SOP 6b of Dickson et al.
2007), where pH was expressed on the total scale. The results of the gran
titrations together with seawater salinity (YSI 3100 conductivity meter) and
seawater temperature were used to calculate TA, pCO2, HCO3-, CO3 2- and
aragonite saturation state (Omega) using CO2SYS (Lewis and Wallace 1998), with
the constants of Mehrbach et al. (1973) and pH on the total scale.
To evaluate the accuracy and precision of TA analyses, certified reference
materials (CRM, batch 105 from A. Dickson, Scripps Institution of
Oceanography) were processed before each set of seawater samples. CRMs were
evaluated with a mean error of 0.37% (~ 8 micro-mol kg-1, n = 11) relative to
the certified values. The precision and accuracy of pH measurements were
evaluated using standardized Tris buffers (Batch 5 from A. D 193 Dickson
Laboratory, Scripps Institution of Oceanography) that were processed
spectrophotometrically with m-cresol as described above. Percent average error
from the known pH of the Tris buffer was 0.16% (0.01 pH units, n = 13).
Incubation schedule and dependent variables
On April 24th 2011, nubbins and cores were buoyant weighed (\\u00b1 1 mg,
Spencer-Davies 1989) and randomly placed in the mesocosm, with four taxa and
two replicates per taxon in each tank. Over the following 24 h, seawater
temperature and pCO2 were adjusted to target values. Corals remained in the
treatments for 19 d, and were moved randomly within the tanks daily to
eliminate position effects. Individual corals, along with the racks holding
them, were cleaned every 5 d by wiping algal growth from walls of the tanks,
racks, and PVC coral holders. On May 12th, the experiment ended and the corals
were again buoyant weighed and the area of living tissue determined using
aluminum foil (Marsh 1970).";
String awards_0_award_nid "54987";
String awards_0_award_number "OCE-0417412";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0417412";
String awards_0_funder_name "NSF Division of Ocean Sciences";
String awards_0_funding_acronym "NSF OCE";
String awards_0_funding_source_nid "355";
String awards_0_program_manager "David L. Garrison";
String awards_0_program_manager_nid "50534";
String awards_1_award_nid "55110";
String awards_1_award_number "OCE-1041270";
String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1041270";
String awards_1_funder_name "NSF Division of Ocean Sciences";
String awards_1_funding_acronym "NSF OCE";
String awards_1_funding_source_nid "355";
String awards_1_program_manager "David L. Garrison";
String awards_1_program_manager_nid "50534";
String awards_2_award_nid "520630";
String awards_2_award_number "OCE-1026851";
String awards_2_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1026851";
String awards_2_funder_name "NSF Division of Ocean Sciences";
String awards_2_funding_acronym "NSF OCE";
String awards_2_funding_source_nid "355";
String awards_2_program_manager "David L. Garrison";
String awards_2_program_manager_nid "50534";
String cdm_data_type "Other";
String comment
"Seawater chemistry
LTER-Moorea, 2011
P. Edmunds, D. Brown (CSU-Northridge)
version: 2016-04-04
These data were published in Brown & Edmunds (2016) Marine Biology, Table 1";
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 "2016-04-04T14:46:22Z";
String date_modified "2016-04-13T23:47:03Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.641942";
Float64 Easternmost_Easting -149.826;
Float64 geospatial_lat_max -17.4907;
Float64 geospatial_lat_min -17.4907;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -149.826;
Float64 geospatial_lon_min -149.826;
String geospatial_lon_units "degrees_east";
String history
"2024-04-25T21:37:46Z (local files)
2024-04-25T21:37:46Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_641759.das";
String infoUrl "https://www.bco-dmo.org/dataset/641759";
String institution "BCO-DMO";
String instruments_0_acronym "LI-COR LI-193 PAR";
String instruments_0_dataset_instrument_description "4p LI-193 quantum sensor";
String instruments_0_dataset_instrument_nid "641770";
String instruments_0_description "The LI-193 Underwater Spherical Quantum Sensor uses a Silicon Photodiode and glass filters encased in a waterproof housing to measure PAR (in the 400 to 700 nm waveband) in aquatic environments. Typical output is in micromol s-1 m-2. The LI-193 Sensor gives an added dimension to underwater PAR measurements as it measures photon flux from all directions. This measurement is referred to as Photosynthetic Photon Flux Fluence Rate (PPFFR) or Quantum Scalar Irradiance. This is important, for example, when studying phytoplankton, which utilize radiation from all directions for photosynthesis. LI-COR began producing Spherical Quantum Sensors in 1979; serial numbers for the LI-193 begin with SPQA-XXXXX (licor.com).";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0458/";
String instruments_0_instrument_name "LI-COR LI-193 PAR Sensor";
String instruments_0_instrument_nid "432";
String instruments_1_acronym "in-situ incubator";
String instruments_1_dataset_instrument_description "150 L tanks";
String instruments_1_dataset_instrument_nid "641771";
String instruments_1_description "A device on shipboard or in the laboratory that holds water samples under controlled conditions of temperature and possibly illumination.";
String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/82/";
String instruments_1_instrument_name "In-situ incubator";
String instruments_1_instrument_nid "494";
String instruments_2_acronym "Water Temp Sensor";
String instruments_2_dataset_instrument_nid "641772";
String instruments_2_description "General term for an instrument that measures the temperature of the water with which it is in contact (thermometer).";
String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/134/";
String instruments_2_instrument_name "Water Temperature Sensor";
String instruments_2_instrument_nid "647";
String instruments_3_acronym "Automatic titrator";
String instruments_3_dataset_instrument_description "Open cell potentiometric titrator (Model T50, Mettler-Toledo, Columbus, OH) fitted with a DG115-SC pH probe (Mettler-Toledo, Columbus, OH)";
String instruments_3_dataset_instrument_nid "641773";
String instruments_3_description "Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached.";
String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB12/";
String instruments_3_instrument_name "Automatic titrator";
String instruments_3_instrument_nid "682";
String instruments_4_acronym "Light Meter";
String instruments_4_dataset_instrument_description "LiCor LI-1400 meter";
String instruments_4_dataset_instrument_nid "641769";
String instruments_4_description "Light meters are instruments that measure light intensity. Common units of measure for light intensity are umol/m2/s or uE/m2/s (micromoles per meter squared per second or microEinsteins per meter squared per second). (example: LI-COR 250A)";
String instruments_4_instrument_name "Light Meter";
String instruments_4_instrument_nid "703";
String instruments_5_acronym "Conductivity Meter";
String instruments_5_dataset_instrument_description "YSI 3100 conductivity meter";
String instruments_5_dataset_instrument_nid "641774";
String instruments_5_description "Conductivity Meter - An electrical conductivity meter (EC meter) measures the electrical conductivity in a solution. Commonly used in hydroponics, aquaculture and freshwater systems to monitor the amount of nutrients, salts or impurities in the water.";
String instruments_5_instrument_name "Conductivity Meter";
String instruments_5_instrument_nid "719";
String instruments_6_acronym "sonicator";
String instruments_6_dataset_instrument_description "Ultrasonic dismembrator (Fisher model 216 15-338-550; fitted with a 3.2 mm diameter probe, Fisher 15-338-67)";
String instruments_6_dataset_instrument_nid "641775";
String instruments_6_description "Instrument that applies sound energy to agitate particles in a sample.";
String instruments_6_instrument_name "ultrasonic cell disrupter";
String instruments_6_instrument_nid "528691";
String keywords "bco, bco-dmo, biological, carbon, carbon dioxide, chemical, co2, data, dataset, dioxide, dmo, erddap, latitude, longitude, management, oceanography, office, pCO2, pCO2_uatm, preliminary, tank, temperature, treatment, uatm";
String license "https://www.bco-dmo.org/dataset/641759/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/641759";
Float64 Northernmost_Northing -17.4907;
String param_mapping "{'641759': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/641759/parameters";
String people_0_affiliation "California State University Northridge";
String people_0_affiliation_acronym "CSU-Northridge";
String people_0_person_name "Peter J. Edmunds";
String people_0_person_nid "51536";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "California State University Northridge";
String people_1_affiliation_acronym "CSU-Northridge";
String people_1_person_name "Darren J Brown";
String people_1_person_nid "523715";
String people_1_role "Student";
String people_1_role_type "related";
String people_2_affiliation "California State University Northridge";
String people_2_affiliation_acronym "CSU-Northridge";
String people_2_person_name "Darren J Brown";
String people_2_person_nid "523715";
String people_2_role "Contact";
String people_2_role_type "related";
String people_3_affiliation "Woods Hole Oceanographic Institution";
String people_3_affiliation_acronym "WHOI BCO-DMO";
String people_3_person_name "Nancy Copley";
String people_3_person_nid "50396";
String people_3_role "BCO-DMO Data Manager";
String people_3_role_type "related";
String project "OA_Corals";
String projects_0_acronym "OA_Corals";
String projects_0_description
"While coral reefs have undergone unprecedented changes in community structure in the past 50 y, they now may be exposed to their gravest threat since the Triassic. This threat is increasing atmospheric CO2, which equilibrates with seawater and causes ocean acidification (OA). In the marine environment, the resulting decline in carbonate saturation state (Omega) makes it energetically less feasible for calcifying taxa to mineralize; this is a major concern for coral reefs. It is possible that the scleractinian architects of reefs will cease to exist as a mineralized taxon within a century, and that calcifying algae will be severely impaired. While there is a rush to understand these effects and make recommendations leading to their mitigation, these efforts are influenced strongly by the notion that the impacts of pCO2 (which causes Omega to change) on calcifying taxa, and the mechanisms that drive them, are well-known. The investigators believe that many of the key processes of mineralization on reefs that are potentially affected by OA are only poorly known and that current knowledge is inadequate to support the scaling of OA effects to the community level. It is vital to measure organismal-scale calcification of key taxa, elucidate the mechanistic bases of these responses, evaluate community scale calcification, and finally, to conduct focused experiments to describe the functional relationships between these scales of mineralization.
This project is a 4-y effort focused on the effects of Ocean Acidification (OA) on coral reefs at multiple spatial and functional scales. The project focuses on the corals, calcified algae, and coral reefs of Moorea, French Polynesia, establishes baseline community-wide calcification data for the detection of OA effects on a decadal-scale, and builds on the research context and climate change focus of the Moorea Coral Reef LTER.
This project is a hypothesis-driven approach to compare the effects of OA on reef taxa and coral reefs in Moorea. The PIs will utilize microcosms to address the impacts and mechanisms of OA on biological processes, as well as the ecological processes shaping community structure. Additionally, studies of reef-wide metabolism will be used to evaluate the impacts of OA on intact reef ecosystems, to provide a context within which the experimental investigations can be scaled to the real world, and critically, to provide a much needed reference against which future changes can be gauged.
The following publications and data resulted from this project:
2016 Edmunds P.J. and 15 others. Integrating the effects of ocean acidification across functional scales on tropical coral reefs. Bioscience (in press Feb 2016) **not yet available**
2016 Comeau S, Carpenter RC, Lantz CA, Edmunds PJ. Parameterization of the response of calcification to temperature and pCO2 in the coral Acropora pulchra and the alga Lithophyllum kotschyanum. Coral Reefs (in press Feb 2016)
2016 Brown D., Edmunds P.J. Differences in the responses of three scleractinians and the hydrocoral Millepora platyphylla to ocean acidification. Marine Biology (in press Feb 2016) **available soon**MarBio. 2016: calcification and biomassMarBio. 2016: tank conditions
2016 Comeau, S., Carpenter, R.C., Edmunds, P.J. Effects of pCO2 on photosynthesis and respiration of tropical scleractinian corals and calcified algae. ICES Journal of Marine Science doi:10.1093/icesjms/fsv267
2015 Evensen NR, Edmunds PJ, Sakai K. Effects of pCO2 on the capacity for spatial competition by the corals Montipora aequituberculata and massive Porites spp. Marine Ecology Progress Series 541: 123–134. doi: 10.3354/meps11512MEPS 2015: chemistryMEPS 2015: field surveyMEPS 2015: linear extensionDownload data for this publication (Excel file)
2015 Comeau S., Lantz C. A., Edmunds P. J., Carpenter R. C. Framework of barrier reefs threatened by ocean acidification. Global Change Biology doi: 10.1111/gcb.13023
2015 Comeau, S., Carpenter, R. C., Lantz, C. A., and Edmunds, P. J. Ocean acidification accelerates dissolution of experimental coral reef communities, Biogeosciences, 12, 365-372, doi:10.5194/bg-12-365-2015.calcification rates - flume exptcarbonate chemistry - flume expt
External data repository: http://doi.pangaea.de/10.1594/PANGAEA.847986
2014 Comeau S, Carpenter RC, Edmunds PJ. Effects of irradiance on the response of the coral Acropora pulchra and the calcifying alga Hydrolithon reinboldii to temperature elevation and ocean acidification. Journal of Experimental Marine Biology and Ecology (in press)
2014 Comeau S, Carpenter RC, Nojiri Y, Putnam HM, Sakai K, Edmunds PJ. Pacific-wide contrast highlights resistance of reef calcifiers to ocean acidification. Royal Society of London (B) 281: doi.org/10.1098/rspb.2014.1339
External data repository: http://doi.pangaea.de/10.1594/PANGAEA.832834
2014 Comeau, S., Edmunds, P. J., Lantz, C. A., & Carpenter, R. C. Water flow modulates the response of coral reef communities to ocean acidification. Scientific Reports, 4. doi:10.1038/srep06681calcification rates - flume exptcarbonate chemistry - flume expt
2014 Comeau, S., Edmunds, P. J., Spindel, N. B., & Carpenter, R. C. Fast coral reef calcifiers are more sensitive to ocean acidification in short-term laboratory incubations. Limnology and Oceanography, 59(3), 1081–1091. doi:10.4319/lo.2014.59.3.1081algae_calcificationcoral_calcification
External data repository: http://doi.pangaea.de/10.1594/PANGAEA.832584
2014 Comeau S, Edmunds PJ, Spindel NB, Carpenter RC. Diel pCO2 oscillations modulate the response of the coral Acropora hyacinthus to ocean acidification. Marine Ecology Progress Series 453: 28-35
2013 Comeau, S, Carpenter, RC, Edmunds PJ. Response to coral reef calcification: carbonate, bicarbonate and proton flux under conditions of increasing ocean acidification. Proceedings of the Royal Society of London 280: doi.org/10.1098/rspb.2013.1153
2013 Comeau S, Carpenter RC. Edmunds PJ. Effects of feeding and light intensity on the response of the coral Porites rus to ocean acidification. Marine Biology 160: 1127-1134
External data repository: http://doi.pangaea.de/10.1594/PANGAEA.829815
2013 Comeau, S., Edmunds, P. J., Spindel, N. B., Carpenter, R. C. The responses of eight coral reef calcifiers to increasing partial pressure of CO2 do not exhibit a tipping point. Limnol. Oceanogr. 58, 388–398.algae_calcificationcoral_calcification
External data repository: http://doi.pangaea.de/10.1594/PANGAEA.833687
2012 Comeau, S., Carpenter, R. C., & Edmunds, P. J. Coral reef calcifiers buffer their response to ocean acidification using both bicarbonate and carbonate. Proceedings of the Royal Society B: Biological Sciences, 280(1753), 20122374. doi:10.1098/rspb.2012.2374carbonate_chemistrylight_dark_calcificationmean_calcification
External data repository: http://doi.pangaea.de/10.1594/PANGAEA.832834";
String projects_0_end_date "2014-12";
String projects_0_geolocation "Moorea, French Polynesia";
String projects_0_name "The effects of ocean acidification on the organismic biology and community ecology of corals, calcified algae, and coral reefs";
String projects_0_project_nid "2242";
String projects_0_start_date "2011-01";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing -17.4907;
String standard_name_vocabulary "CF Standard Name Table v55";
String subsetVariables "location,latitude,longitude";
String summary
"Summary of conditions in the eight tanks assigned randomly to create four
treatments of AT-ACO2.
Related Reference:
Darren Brown, Peter J. Edmunds. Differences in the responses of three
scleractinians and the hydrocoral Millepora platyphylla to ocean
acidification. Marine Biology, 2016 (in press).
Related Dataset:
[MarBio. 2016: calcification and biomass](\\\\http://www.bco-
dmo.org/dataset/641479\\\\)";
String title "Tank seawater conditions from Coral/Temperature/pCO2 Experiments at LTER site in Moorea, French Polynesia, 2011 (OA_Corals project)";
String version "1";
Float64 Westernmost_Easting -149.826;
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
Data Access Protocol (DAP) and its
selection constraints.
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
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
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.