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attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv |
attribute | NC_GLOBAL | acquisition_description | String | To evaluate whether rates of calcification within C. nereostratum have changed\nor will change with ocean warming and acidification, we cultured C.\nnereostratum under experimental conditions mimicking past, present, and\npredicted future levels of ocean temperature and pCO2 in the region, then\nfollowed this four-month incubation period with measurements of skeletal\ndensity using micro-computed tomography (microCT). Small C. nereostratum\ncolonies (~4-5 cm diameter) were live collected from Adak in 2015 and\nimmediately transported to the Northeastern University Marine Science Center\nin Nahant, Massachusetts. There, all specimens were acclimated to laboratory\nconditions at 8.5 degrees C for two weeks, after which individual C.\nnereostratum colonies were attached to the underside of plastic Petri dishes\nusing cyanoacrylate glue and then allowed to acclimate for an additional two\nweeks before being moved to experimental aquaria. Conditions were then\nincrementally modified to achieve target temperature and pCO2 levels (see\nbelow) over a one-week period. After reaching target conditions, each 42-L\naquarium was dosed with 213 mL of calcein fluorescent dye (Western Chemicals\nInc.), which was recirculated in the aquaria for three days and then flushed\nfrom the system. Coralline algae incorporate the dye into their skeleton, thus\ncreating a distinct line that can be viewed via fluorescent microscopy to\ndemark the region of new growth within each individual.\n \nWe employed four pCO2 conditions and three temperatures that, while\nfactorially crossed, spanned pre-industrial, present-day, and projected year\n2100 conditions (assuming an IPCC \\\"business as usual\\\" carbon emissions\nscenario; Pachauri and Meyer 2014). More extreme temperature (12.5 degrees C)\nand pCO2 (2800 micro-atm) conditions were also employed in the broader\nexperiment but were not included in our study because they are not predicted\nto occur until year 2500, or later. For each treatment, we set values to\naverage summertime conditions, the time when ~75% of C. nereostratum growth\noccurs (Adey et al. 2013).\n \nAll treatments (4 pCO2 concentrations x 3 temperatures, fully factorial) were\nhoused on individual shelves and consisted of three 42-liter acrylic aquaria\nand one 65-liter sump (n = 3 tanks/treatment). The aquaria were connected to a\nsump via a common overflow and return line but were each independently and\ncontinuously replenished with new seawater\\u2014thereby establishing them as\ntrue experimental replicates. The sump contained a filter box with a nylon\nmesh particle filter and activated carbon, a protein skimmer (Eshopps PSK-75),\nand a return pump, all of which was connected to a water chiller (Coralife\n1/4HP). Filtered natural seawater was added via Darhor manual flow controllers\nat a rate of 50 mL/min/tank, resulting in full replacement of treatment water\nevery ~21 hours - sufficiently fast to prevent material depletion of the\ndissolved constituents of the seawater yet slow enough to allow the mixed\ngases being sparged into the experimental treatments to approach equilibrium\nwith the seawater. Mixed gases were sparged into each tank with 91 cm long\nflexible bubblers at the rate of ~1 L/min via Darhor needle-valve gas flow\ncontrollers. Two 12,000K LED light arrays (Ecoxotic Panorama, Pro 24V) were\nmounted above each tank and set to an irradiance that mirrored average summer\ndaylight irradiance at 10 m depth in the Aleutian Islands (~258 micro-E m-2\ns-1; 12 hr light:12 hr dark cycle).\n \nOver the course of the four-month experiment, we measured pH (Accumet AB15 pH\nmeter with Accufet solid state probe), salinity (YSI3200 meter with K=10\nconductivity electrode and temperature probe), and temperature (NIST traceable\nred spirit glass thermometer) in each tank every Monday, Wednesday, and\nFriday. The pCO2 of the gas mixtures was measured with a Qubit S151 infrared\nCO2 analyzer and calibrated with certified mixed CO2 from Airgas Incorporated.\nEvery 10 days, we characterized the full carbonate system chemistry of the\nexperimental treatments from measured total alkalinity, dissolved inorganic\ncarbon, temperature, and salinity. For this, seawater samples were obtained in\n250 mL borosilicate ground-glass-stoppered bottles and immediately poisoned\nwith 100 micro-L of saturated HgCl2 solution to halt biological activity\n(Dickson et al. 2007). Total alkalinity was measured via closed-cell\npotentiometric Gran titration and dissolved inorganic carbon was measured with\na UIC 5400 Coulometer on a VINDTA 3C (Marianda Incorporated) using Dickson\ncertified seawater reference material. Seawater pCO2, pH, carbonate ion\nconcentration ([CO32-]) bicarbonate ion concentration ([HCO3-]), aqueous CO2,\nand calcite saturation state were calculated with the program CO2SYS (Lewis\nand Wallace 1998), using Roy and colleague's (1993) values for the K1 and K2\ncarbonic acid constants, the Mucci (1983) value for the stoichiometric calcite\nsolubility product, the seawater pH scale, and an atmospheric pressure of\n1.015 atm.\n \nAt the beginning of the experiment we measured the buoyant weight of each\nspecimen. We then scrubbed each specimen with a toothbrush and reweighed it\nevery month and at the end of the experiment. With each weighing, we also\nphotographed the specimen with a ruler and Reef Watch coral bleaching card in\nthe field of view. We then measured the 2-d surface area of the photographed\nspecimens (Image J, NIH). At the end of the experiment, all coralline algae\nwere sectioned with a diamond lapidary saw (Inland Craft SwapTop 6.5\\u201d\nDiamond Trim Saw) and either frozen for genetic analysis or sectioned into 6\nmm slices, rinsed in a series of two 90% Ethanol baths, and allowed to air dry\nfor further examination of growth and skeletal density.\n \nWe measured the density of the calcified skeleton deposited by C. nereostratum\nduring the four-month laboratory experiment via micro-computed tomography\n(microCT); see Chan et al. (2017) for methods development and analytical\nsetup. In brief, samples were scanned in a GE Locus RS-9 (General Electric\nHealth Care, London, Ontario) x-ray microCT at an energy of 90kVp and tube\ncurrent of 450 micro-A. Two frames, each 4500 ms in duration, were averaged at\n900 projection angles over a 360-degree rotation of the gantry to produce data\nthat was processed into a 3D image with 20 micron isotropic voxel spacing.\nOnly specimens raised in the experimental temperature and pCO2 treatments\nemployed in the feeding assay (6 treatments, n = 3 specimens/treatment) were\nstudied. For each specimen, three cuboid regions of interest (ROI) were then\nselected, focusing on the region of new growth as indicated by the calcein\nmark. ROI size was similar for all measurements (1445-1575 voxels); however,\ndimensions were adjusted depending on the amount of accretion incurred and to\navoid overlap with the epithallus or tissues deposited prior to the\nexperiment. Grayscale thresholding to eliminate non-calcified tissue was\nunnecessary, given that conceptacles were not present in the newly deposited\ntissue and intracellular pore spaces (6 microns) are smaller than the microCT\nvoxel size (20 microns) and were therefore not resolved. However, an analysis\nemploying thresholding (Chan et al. 2017) produced virtually identical\nresults. We quantified the skeletal density within each ROI by calculating the\nfractional mineral content of the ROI (i.e., fractional composition of each\nvoxel that is CaCO3), converting each value to units of pure crystal calcite\n(physical density: 2.71 g/cm^3), then averaging over all voxels in the ROI. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 526658 |
attribute | NC_GLOBAL | awards_0_award_number | String | PLR-1316141 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://nsf.gov/awardsearch/showAward?AWD_ID=1316141 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Arctic Sciences |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF ARC |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 390 |
attribute | NC_GLOBAL | awards_0_program_manager | String | Henrietta N Edmonds |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 51517 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Skeletal density of Clathromorphum nereostratum \n PI's: Steneck (Umaine), J. Estes (UCSC), D. Rasher (BLOS) \n version: 2019-02-013 |
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 | 2019-02-14T13:53:41Z |
attribute | NC_GLOBAL | date_modified | String | 2019-02-25T20:51:25Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.755809.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/755809 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | CO2 coulometer |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | To measure dissolved inorganic carbon |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 755821 |
attribute | NC_GLOBAL | instruments_0_description | String | A CO2 coulometer semi-automatically controls the sample handling and extraction of CO2 from seawater samples. Samples are acidified and the CO2 gas is bubbled into a titration cell where CO2 is converted to hydroxyethylcarbonic acid which is then automatically titrated with a coulometrically-generated base to a colorimetric endpoint. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB12 |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | CO2 Coulometer |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 507 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | UIC 5400 Coulometer on a VINDTA 3C |
attribute | NC_GLOBAL | instruments_1_acronym | String | Salinometer |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | To measure salinity and temperature of tanks |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 755818 |
attribute | NC_GLOBAL | instruments_1_description | String | A salinometer is a device designed to measure the salinity, or dissolved salt content, of a solution. |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Salinometer |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 677 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | YSI3200 meter with K=10 conductivity electrode and temperature probe |
attribute | NC_GLOBAL | instruments_2_acronym | String | Benchtop pH Meter |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_description | String | To measure pH of tanks |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 755817 |
attribute | NC_GLOBAL | instruments_2_description | String | An instrument consisting of an electronic voltmeter and pH-responsive electrode that gives a direct conversion of voltage differences to differences of pH at the measurement temperature. (McGraw-Hill Dictionary of Scientific and Technical Terms) \nThis instrument does not map to the NERC instrument vocabulary term for 'pH Sensor' which measures values in the water column. Benchtop models are typically employed for stationary lab applications. |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | Benchtop pH Meter |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 681 |
attribute | NC_GLOBAL | instruments_2_supplied_name | String | Accumet AB15 pH meter with Accufet solid state probe |
attribute | NC_GLOBAL | instruments_3_acronym | String | inorganic carbon and alkalinity analyser |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_nid | String | 755822 |
attribute | NC_GLOBAL | instruments_3_description | String | The Versatile INstrument for the Determination of Total inorganic carbon and titration Alkalinity (VINDTA) 3C is a laboratory alkalinity titration system combined with an extraction unit for coulometric titration, which simultaneously determines the alkalinity and dissolved inorganic carbon content of a sample. The sample transport is performed with peristaltic pumps and acid is added to the sample using a membrane pump. No pressurizing system is required and only one gas supply (nitrogen or dry and CO2-free air) is necessary. The system uses a Metrohm Titrino 719S, an ORION-Ross pH electrode and a Metrohm reference electrode. The burette, the pipette and the analysis cell have a water jacket around them. Precision is typically +/- 1 umol/kg for TA and/or DIC in open ocean water. |
attribute | NC_GLOBAL | instruments_3_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0481/ |
attribute | NC_GLOBAL | instruments_3_instrument_name | String | MARIANDA VINDTA 3C total inorganic carbon and titration alkalinity analyser |
attribute | NC_GLOBAL | instruments_3_instrument_nid | String | 686 |
attribute | NC_GLOBAL | instruments_4_acronym | String | MFC |
attribute | NC_GLOBAL | instruments_4_dataset_instrument_nid | String | 755849 |
attribute | NC_GLOBAL | instruments_4_description | String | Mass Flow Controller (MFC) - A device used to measure and control the flow of fluids and gases |
attribute | NC_GLOBAL | instruments_4_instrument_name | String | Mass Flow Controller |
attribute | NC_GLOBAL | instruments_4_instrument_nid | String | 712 |
attribute | NC_GLOBAL | instruments_4_supplied_name | String | Darhor manual flow controllers |
attribute | NC_GLOBAL | instruments_5_acronym | String | CO2 Analyzer |
attribute | NC_GLOBAL | instruments_5_dataset_instrument_description | String | To measure pCO2 in tanks |
attribute | NC_GLOBAL | instruments_5_dataset_instrument_nid | String | 755820 |
attribute | NC_GLOBAL | instruments_5_description | String | Measures atmospheric carbon dioxide (CO2) concentration. |
attribute | NC_GLOBAL | instruments_5_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/382/ |
attribute | NC_GLOBAL | instruments_5_instrument_name | String | CO2 Analyzer |
attribute | NC_GLOBAL | instruments_5_instrument_nid | String | 491476 |
attribute | NC_GLOBAL | instruments_5_supplied_name | String | Qubit S151 infrared CO2 analyzer |
attribute | NC_GLOBAL | instruments_6_acronym | String | Aquarium chiller |
attribute | NC_GLOBAL | instruments_6_dataset_instrument_description | String | To maintain temperature in tanks |
attribute | NC_GLOBAL | instruments_6_dataset_instrument_nid | String | 755845 |
attribute | NC_GLOBAL | instruments_6_description | String | Immersible or in-line liquid cooling device, usually with temperature control. |
attribute | NC_GLOBAL | instruments_6_instrument_name | String | Aquarium chiller |
attribute | NC_GLOBAL | instruments_6_instrument_nid | String | 522982 |
attribute | NC_GLOBAL | instruments_6_supplied_name | String | Coralife 1/4HP |
attribute | NC_GLOBAL | instruments_7_acronym | String | CT Scanner |
attribute | NC_GLOBAL | instruments_7_dataset_instrument_description | String | To produce 3D imagery of specimens |
attribute | NC_GLOBAL | instruments_7_dataset_instrument_nid | String | 755846 |
attribute | NC_GLOBAL | instruments_7_description | String | A CT scan makes use of computer-processed combinations of many X-ray measurements taken from different angles to produce cross-sectional (tomographic) images (virtual \"slices\") of specific areas of a scanned object. |
attribute | NC_GLOBAL | instruments_7_instrument_name | String | Computerized Tomography (CT) Scanner |
attribute | NC_GLOBAL | instruments_7_instrument_nid | String | 707113 |
attribute | NC_GLOBAL | instruments_7_supplied_name | String | GE Locus RS-9 (General Electric Health Care, London, Ontario) x-ray microCT |
attribute | NC_GLOBAL | instruments_8_dataset_instrument_description | String | To measure temperature in the tanks |
attribute | NC_GLOBAL | instruments_8_dataset_instrument_nid | String | 755819 |
attribute | NC_GLOBAL | instruments_8_instrument_name | String | Thermometer |
attribute | NC_GLOBAL | instruments_8_instrument_nid | String | 725867 |
attribute | NC_GLOBAL | instruments_8_supplied_name | String | NIST traceable red spirit glass thermometer |
attribute | NC_GLOBAL | keywords | String | ave, bco, bco-dmo, biological, carbon, carbon dioxide, carbonate, chemical, cm3, co2, co3, data, dataset, dioxide, dmo, erddap, management, mg_CaCO3_cm3, oceanography, office, preliminary, replicate, roi, sample, sample_ID, tank, tank_pCO2_ave, tank_temp_ave, temperature, treatment, treatment_pCO2, treatment_temp |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/755809/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/755809 |
attribute | NC_GLOBAL | param_mapping | String | {'755809': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/755809/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | University of Maine |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | U Maine DMC |
attribute | NC_GLOBAL | people_0_person_name | String | Robert S. Steneck |
attribute | NC_GLOBAL | people_0_person_nid | String | 526659 |
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-Santa Cruz |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | UC Santa Cruz |
attribute | NC_GLOBAL | people_1_person_name | String | James Estes |
attribute | NC_GLOBAL | people_1_person_nid | String | 51389 |
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 | Bigelow Laboratory for Ocean Sciences |
attribute | NC_GLOBAL | people_2_person_name | String | Douglas B. Rasher |
attribute | NC_GLOBAL | people_2_person_nid | String | 480721 |
attribute | NC_GLOBAL | people_2_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_2_role_type | String | originator |
attribute | NC_GLOBAL | people_3_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_3_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_3_person_name | String | Nancy Copley |
attribute | NC_GLOBAL | people_3_person_nid | String | 50396 |
attribute | NC_GLOBAL | people_3_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_3_role_type | String | related |
attribute | NC_GLOBAL | project | String | OA Kelp Forest Function |
attribute | NC_GLOBAL | projects_0_acronym | String | OA Kelp Forest Function |
attribute | NC_GLOBAL | projects_0_description | String | Extracted from the NSF award abstract:\nMarine calcifying organisms are most at risk to rapid ocean acidification (OA) in cold-water ecosystems. The investigators propose to determine if a globally unique and widespread calcareous alga in Alaska's Aleutian archipelago, Clathromorphum nereostratum, is threatened with extinction due to the combined effects of OA and food web alterations. C. nereostratum is a slow growing coralline alga that can live to at least 2000 years. It accretes massive 'bioherms' that dominate the regions' rocky substrate both under kelp forests and deforested sea urchin barrens. It develops growth bands (similar to tree rings) in its calcareous skeleton, which effectively record its annual calcification rate over centuries. Pilot data suggest the skeletal density of C. nereostratum began to decline precipitously in the 1990's in some parts of the Aleutian archipelago. The investigators now propose to use high-resolution microscopy and microCT imaging to examine how the growth and skeletal density of C. nereostratum has changed in the past 300 years (i.e., since the industrial revolution) across the western Aleutians. They will compare their records of algal skeletal densities and their variation through time with reconstructions of past climate to infer causes of change. In addition, the investigators will examine whether the alga's defense against grazing by sea urchins is compromised by ongoing ocean acidification. The investigators will survey the extent of C. nereostratum bioerosion occurring at 10 sites spanning the western Aleutians, both inside and outside of kelp forests. At each site they will compare these patterns to observed and monitored ecosystem trophic structure and recent C. nereostratum calcification rates. Field observations will be combined with laboratory experiments to determine if it is a decline in the alga's skeletal density (due to recent OA and warming), an increase in grazing intensity (due to recent trophic-level dysfunction), or their interactive effects that are likely responsible for bioerosion patterns inside vs. outside of forests. By sampling C. nereostratum inside and outside of forests, they will determine if kelp forests locally increase pH via photosynthesis, and thus buffer the effects of OA on coralline calcification. The combination of field observations with laboratory controlled experiments, manipulating CO2 and temperature, will help elucidate drivers of calcification and project how these species interactions will likely change in the near future. The project will provide the first in situ example of how ongoing ocean acidification is affecting the physiology of long-lived, carbonate producing organisms in the subarctic North Pacific. It will also be one of the first studies to document whether OA, ocean warming, and food web changes to ecological processes are interacting in complex ways to reshape the outcome of species interactions in nature. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2016-08 |
attribute | NC_GLOBAL | projects_0_name | String | Ocean Acidification: Century Scale Impacts to Ecosystem Structure and Function of Aleutian Kelp Forests |
attribute | NC_GLOBAL | projects_0_project_nid | String | 526660 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2013-09 |
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 | Skeletal density (mg CaCO3/cm^3) of Clathromorphum nereostratum, evaluated as a function of seawater temperature and pCO2 level that it was cultured in for 4 months in mesocosm. Density measurements were made using micro-computed tomography. |
attribute | NC_GLOBAL | title | String | [Lab crustose coralline algae skeletal density fx temp and pCO2] - The density (mg CaCO3/cm^3) of the skeleton of Clathromorphum nereostratum, when assessed as function of increasing seawater temperature and pCO2 concentration (Ocean Acidification: Century Scale Impacts to Ecosystem Structure and Function of Aleutian Kelp Forests) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | treatment_temp | float | ||
attribute | treatment_temp | _FillValue | float | NaN |
attribute | treatment_temp | actual_range | float | 6.5, 8.5 |
attribute | treatment_temp | bcodmo_name | String | treatment |
attribute | treatment_temp | description | String | target temperature |
attribute | treatment_temp | long_name | String | Treatment Temp |
attribute | treatment_temp | units | String | degrees Celsius |
variable | treatment_pCO2 | short | ||
attribute | treatment_pCO2 | _FillValue | short | 32767 |
attribute | treatment_pCO2 | actual_range | short | 330, 850 |
attribute | treatment_pCO2 | bcodmo_name | String | treatment |
attribute | treatment_pCO2 | description | String | target pCO2 concentration |
attribute | treatment_pCO2 | long_name | String | Treatment P CO2 |
attribute | treatment_pCO2 | units | String | microatmospheres (uatm) |
variable | tank | byte | ||
attribute | tank | _FillValue | byte | 127 |
attribute | tank | actual_range | byte | 1, 3 |
attribute | tank | bcodmo_name | String | replicate |
attribute | tank | description | String | replicate tank |
attribute | tank | long_name | String | Tank |
attribute | tank | units | String | unitless |
variable | tank_temp_ave | float | ||
attribute | tank_temp_ave | _FillValue | float | NaN |
attribute | tank_temp_ave | actual_range | float | 6.33, 8.91 |
attribute | tank_temp_ave | bcodmo_name | String | temperature |
attribute | tank_temp_ave | description | String | average tank temperature during study |
attribute | tank_temp_ave | long_name | String | Tank Temp Ave |
attribute | tank_temp_ave | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ |
attribute | tank_temp_ave | units | String | degrees Celsius |
variable | tank_pCO2_ave | float | ||
attribute | tank_pCO2_ave | _FillValue | float | NaN |
attribute | tank_pCO2_ave | actual_range | float | 323.1, 1110.49 |
attribute | tank_pCO2_ave | bcodmo_name | String | pCO2 |
attribute | tank_pCO2_ave | description | String | average tank pCO2 concentration during study |
attribute | tank_pCO2_ave | long_name | String | Tank P CO2 Ave |
attribute | tank_pCO2_ave | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/ |
attribute | tank_pCO2_ave | units | String | microatmospheres (uatm) |
variable | sample_ID | byte | ||
attribute | sample_ID | _FillValue | byte | 127 |
attribute | sample_ID | actual_range | byte | 1, 32 |
attribute | sample_ID | bcodmo_name | String | sample |
attribute | sample_ID | description | String | unique identifier for each algal sample |
attribute | sample_ID | long_name | String | Sample ID |
attribute | sample_ID | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | sample_ID | units | String | unitless |
variable | replicate | byte | ||
attribute | replicate | _FillValue | byte | 127 |
attribute | replicate | actual_range | byte | 1, 3 |
attribute | replicate | bcodmo_name | String | replicate |
attribute | replicate | description | String | replicate coralline alga |
attribute | replicate | long_name | String | Replicate |
attribute | replicate | units | String | unitless |
variable | ROI | byte | ||
attribute | ROI | _FillValue | byte | 127 |
attribute | ROI | actual_range | byte | 1, 3 |
attribute | ROI | bcodmo_name | String | sample |
attribute | ROI | description | String | region of interest scanned within each alga |
attribute | ROI | long_name | String | ROI |
attribute | ROI | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | ROI | units | String | unitless |
variable | mg_CaCO3_cm3 | float | ||
attribute | mg_CaCO3_cm3 | _FillValue | float | NaN |
attribute | mg_CaCO3_cm3 | actual_range | float | 1218.6, 1791.3 |
attribute | mg_CaCO3_cm3 | bcodmo_name | String | density |
attribute | mg_CaCO3_cm3 | description | String | skeletal (CaCO3) density within the ROI |
attribute | mg_CaCO3_cm3 | long_name | String | Mg Ca CO3 Cm3 |
attribute | mg_CaCO3_cm3 | units | String | milligrams/cm^3 |