ERDDAP > info > bcodmo_dataset_706178

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	[Weekly Calcification Rates] - Weekly coral calcification rates in the CO2 manipulation experiment conducted on Porites corals from Palau (Toward Predicting the Impact of Ocean Acidification on Net Calcification by a Broad Range of Coral Reef Ecosystems: Identifying Patterns and Underlying Causes)		I   M	background			BCO-DMO	bcodmo_dataset_706178

The Dataset's Variables and Attributes

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	Coral collection:\u00a0Coral plugs were collected in December 2012 from massive\u00a0Porites\u00a0colonies at a naturally low-\u03a9ar\u00a0reef site (7.324 N, 134.493 E; mean \u03a9ar\u00a0= 2.3; n = 78) and a naturally high-\u03a9ar\u00a0reef site (7.268 N, 134.522 E; mean \u03a9ar\u00a0= 3.7; n = 75). At each reef site, small skeletal cores (diameter = 3.5 cm) were removed from massive colonies (one core per colony) at 2-3m depth using underwater pneumatic drills, and cores were cut with a lapidary table saw to approximately 1 cm below the tissue layer. The plugs were affixed to nylon square base screws with marine epoxy, secured to egg crate racks, and returned to their original reefs to allow the corals to recover from the coring procedure. All corals survived two months of recovery on the reef and on all corals living tissue had fully overgrown the sides of the plugs so that no underlying skeleton was exposed. Corals were recovered in February 2013. \u00a0 CO2 manipulation experiment:\u00a0Corals from two reefs were cultured at three CO2 levels for eight weeks in March to May 2013 (n = 10 corals per treatment, n = 60 corals total). The corals were individually incubated in independently manipulated plastic cups (volume = 750 ml) to increase statistical power. Cups were placed within a large, temperature-controlled water bath. The corals were maintained at mean (\u00b1 SD) temperatures of 29.4C \u00b1 0.1C. Light was provided by LED aquarium lights (Coralife) at average levels of 334 \u00b1 48 umol photons m-2 s-1 (measured by an underwater quantum sensor, LI-COR) on a 12h:12h light:dark schedule. Corals were fed live Artemia brine shrimp larvae every other evening by pipetting 1 ml of concentrated brine shrimp in filtered seawater into each cup. Coral cups were cleaned weekly to prevent algae overgrowth. Mean pH (total scale)/\u03a9ar levels for the three treatment conditions were 7.98/3.0, 7.83/2.3, and 7.60/1.5. In each coral cup, carbon system chemistry was regulated using a combination of flow-through pre-equilibrated water and bubbling of mixed air/CO2 gas. Incoming seawater (filtered to 0.35 um) from the reef was aerated and split into three header tanks. In the low-CO2 header tank, water was bubbled with air. In the mid-CO2 and high-CO2 header tanks, CO2 levels were regulated by a pH controller (Drs. Foster and Smith) connected to a solenoid valve that introduced CO2 gas into the header tank through a column diffuser. Water was siphoned from the three header tanks into each coral cup at a rate of approximately 375 ml per hour. Each coral cup was also bubbled with either compressed air (low CO2 treatment) or mixed compressed air and CO2 gas (mid and high CO2 treatment) controlled by pairs of mass flow controllers (Aalborg Instruments) at approximately 200 ml per minute. Low alkalinity levels in the source water to the Palau International Coral Reef Center (drawn from within the lower-alkalinity Rock Islands) prevented \u03a9ar in the low-CO2 condition (\u03a9ar = 3.0) from reaching values that were as high as those measured on the barrier reef site (\u03a9ar = 3.7). To characterize the carbonate chemistry in each cup, total alkalinity (TA), pH, temperature, and salinity were measured weekly. Spectrophotometric pH measurements were made with 2 mM m-Cresol purple indicator dye using a spectrometer with a 100 mm flow cell (Ocean Optics, mean precision = 0.005) following procedures in Clayton and Byrne (1993) and Dickson et al. (2007) and using the equation of Liu et al. (2011). Samples for TA were collected in 20 ml glass vials and poisoned with saturated mercuric chloride. Automated gran titrations for TA were run on duplicate 1 ml samples using a Metrohm Titrando 808 and 730 Sample Changer (mean precision = 4 umol/kg), and TA values were standardized to certified reference materials obtained from Andrew Dickson [Scripps Institution of Oceanography (Dickson, 2001)]. Salinity was measured in each cup using an YSI salinity probe, and temperatures were measured using an Omega thermocouple (accuracy = 0.1 degree C). Full CO2 system parameters were calculated from temperature, salinity, TA, and pH using CO2SYS (Lewis and Wallace, 1998) with the constants of Mehrbach et al. (1973) as refit by Dickson and Millero (1987). Coral calcification analysis:\u00a0Calcification rates were measured using both buoyant weight (Davies, 1989) and alkalinity anomaly (Chisholm and Gattuso, 1991) techniques. Buoyant weights for each coral were collected at the beginning of the experiment, after three weeks in experimental CO2 conditions, and then weekly during weeks four to eight. Corals were weighed using a balance with a weigh-below hook (Sartorius GC803S), which allows for beneath-balance weighing of coral plugs that remain entirely submerged in experimental cups maintained at treatment \u03a9ar levels. Wet weight data were converted to dry weights using an aragonite density of 2.93 grams per cubic centimeter\u00a0and the density of seawater determined using a standard of known weight and density. Repeated buoyant weight measurements on the same coral yielded mean precision estimates of \u00b1 0.03 g. Day/night alkalinity depletion experiments were conducted at the end of the eight-week experiment. Water flow to each coral cup was stopped during this time but gas bubbling was continued in order to maintain pH levels. Samples for TA were collected for each coral cup at the beginning and end of two four- hour periods (one four-hour period during the day and one at night). Alkalinity depletion incubations were simultaneously run in control cups containing only filtered seawater (n=3 per experiment).\u00a0Because the net change in TA values in control cups was within analytical precision (mean = 3 umol per kilogram), coral calcification was assumed to be the only process impacting the alkalinity in the cups, where two moles of alkalinity were consumed for every one mole of calcium carbonate produced. TA pre and post incubation was determined following the titration procedure described in section 2.2 with samples run in triplicate. Calcification rates for both buoyant weight and alkalinity anomaly measurements were normalized to coral tissue surface areas. Surface areas were measured following the general procedure for aluminum foil wrapping, in which the weight of aluminum foil needed to cover the entire surface of the coral skeleton is converted to area using a calibration curve (Marsh 1970). However, skeletons were wrapped with electrical tape instead of aluminum foil because the use of electric tape provided tighter control and minimization of tape overlap, which can significantly overestimate surface area. The area of each coral skeleton occupied by living tissue was wrapped in electrical tape that was subsequently carefully trimmed to eliminate any overlay.\u00a0The weight of tape used to cover the coral tissue for each skeleton were converted to surface areas using a weight-to-area calibration, where ten pieces of electrical tape of known area were weighed to build a weight-per-unit area curve.\u00a0Replicated electrical tape surface area estimates on ten coral skeletons produced a mean precision of 0.43 square cm, or ~1% of calculated surface areas.
attribute	NC_GLOBAL	awards_0_award_nid	String	520400
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1220529
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward?AWD_ID=1220529
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	Weekly coral calcification rates in the CO2 manipulation experiment PI: Anne Cohen (WHOI) Contact: Hannah Barkley (WHOI) Version: 27 June 2017
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	2017-06-27T20:03:30Z
attribute	NC_GLOBAL	date_modified	String	2019-08-02T18:16:22Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.706178.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/706178
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	LI-COR LI-192 PAR
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	A LI-COR underwater quantum sensor measured light on a 12h:12h light:dark schedule.
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	706186
attribute	NC_GLOBAL	instruments_0_description	String	The LI-192 Underwater Quantum Sensor (UWQ) measures underwater or atmospheric Photon Flux Density (PPFD) (Photosynthetically Available Radiation from 360 degrees) using a Silicon Photodiode and glass filters encased in a waterproof housing. The LI-192 is cosine corrected and features corrosion resistant, rugged construction for use in freshwater or saltwater and pressures up to 800 psi (5500 kPa, 560 meters depth). Typical output is in um s-1 m-2. The LI-192 uses computer-tailored filter glass to achieve the desired quantum response. Calibration is traceable to NIST. The LI-192 serial numbers begin with UWQ-XXXXX. LI-COR has been producing Underwater Quantum Sensors since 1973. These LI-192 sensors are typically listed as LI-192SA to designate the 2-pin connector on the base of the housing and require an Underwater Cable (LI-COR part number 2222UWB) to connect to the pins on the Sensor and connect to a data recording device. The LI-192 differs from the LI-193 primarily in sensitivity and angular response. 193: Sensitivity: Typically 7 uA per 1000 umol s-1 m-2 in water. Azimuth: < ± 3% error over 360° at 90° from normal axis. Angular Response: < ± 4% error up to ± 90° from normal axis 192: Sensitivity: Typically 4 uA per 1000 umol s-1 m-2 in water. Azimuth: < ± 1% error over 360° at 45° elevation. Cosine Correction: Optimized for underwater and atmospheric use. (www.licor.com)
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L22/current/TOOL0120/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	LI-COR LI-192 PAR Sensor
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	475
attribute	NC_GLOBAL	instruments_0_supplied_name	String	LI-COR underwater quantum sensor LI-192
attribute	NC_GLOBAL	instruments_1_acronym	String	Manual Biota Sampler
attribute	NC_GLOBAL	instruments_1_dataset_instrument_description	String	At each reef site, small skeletal cores (diameter = 3.5 cm) were removed from massive colonies (one core per colony) at 2–3mdepth using underwater pneumatic drills.
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	706185
attribute	NC_GLOBAL	instruments_1_description	String	Manual Biota Sampler indicates that a sample was collected in situ by a person, possibly using a hand-held collection device such as a jar, a net or their hands.
attribute	NC_GLOBAL	instruments_1_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/90/
attribute	NC_GLOBAL	instruments_1_instrument_name	String	Manual Biota Sampler
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	565
attribute	NC_GLOBAL	instruments_1_supplied_name	String	pneumatic drill
attribute	NC_GLOBAL	instruments_2_acronym	String	Automatic titrator
attribute	NC_GLOBAL	instruments_2_dataset_instrument_description	String	Automated gran titrations for TA were run on duplicate 1 ml samples using a Metrohm Titrando 808 and 730 Sample Changer.
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	706189
attribute	NC_GLOBAL	instruments_2_description	String	Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached.
attribute	NC_GLOBAL	instruments_2_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB12/
attribute	NC_GLOBAL	instruments_2_instrument_name	String	Automatic titrator
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	682
attribute	NC_GLOBAL	instruments_2_supplied_name	String	Metrohm Titrando 808 and 730 Sample Changer
attribute	NC_GLOBAL	instruments_3_acronym	String	Spectrophotometer
attribute	NC_GLOBAL	instruments_3_dataset_instrument_description	String	Spectrophotometric pH measurements were made with 2 mM m-Cresol purple indicator dye using a spectrometer with a 100 mm flow cell (Ocean Optics, mean precision = 0.005).
attribute	NC_GLOBAL	instruments_3_dataset_instrument_nid	String	706188
attribute	NC_GLOBAL	instruments_3_description	String	An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.
attribute	NC_GLOBAL	instruments_3_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB20/
attribute	NC_GLOBAL	instruments_3_instrument_name	String	Spectrophotometer
attribute	NC_GLOBAL	instruments_3_instrument_nid	String	707
attribute	NC_GLOBAL	instruments_3_supplied_name	String	Ocean Optics pH spectrophotometer
attribute	NC_GLOBAL	instruments_4_acronym	String	MFC
attribute	NC_GLOBAL	instruments_4_dataset_instrument_description	String	Each coral cup was also bubbled with either compressed air or mixed compressed air and CO2 gas controlled by pairs of mass flow controllers (Aalborg Instruments).
attribute	NC_GLOBAL	instruments_4_dataset_instrument_nid	String	706187
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	Aalborg Instruments mass flow controllers GFCS-010554 and GFCS-011067
attribute	NC_GLOBAL	instruments_5_acronym	String	Scale
attribute	NC_GLOBAL	instruments_5_dataset_instrument_description	String	Corals were weighed using a balance with a weigh-below hook (Sartorius GC803S).
attribute	NC_GLOBAL	instruments_5_dataset_instrument_nid	String	706190
attribute	NC_GLOBAL	instruments_5_description	String	An instrument used to measure weight or mass.
attribute	NC_GLOBAL	instruments_5_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB13/
attribute	NC_GLOBAL	instruments_5_instrument_name	String	Scale
attribute	NC_GLOBAL	instruments_5_instrument_nid	String	714
attribute	NC_GLOBAL	instruments_5_supplied_name	String	Sartorius GC803S scale
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, calc, calc_rate, calc_rate_se, carbon, carbon dioxide, chemical, co2, CO2_treatment, data, dataset, dioxide, dmo, erddap, management, oceanography, office, omega, preliminary, rate, reef, reef_omega_AR, treatment, week
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/706178/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/706178
attribute	NC_GLOBAL	param_mapping	String	{'706178': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/706178/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	WHOI
attribute	NC_GLOBAL	people_0_person_name	String	Anne L Cohen
attribute	NC_GLOBAL	people_0_person_nid	String	51428
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	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	WHOI
attribute	NC_GLOBAL	people_1_person_name	String	Hannah Barkley
attribute	NC_GLOBAL	people_1_person_nid	String	560803
attribute	NC_GLOBAL	people_1_role	String	Contact
attribute	NC_GLOBAL	people_1_role_type	String	related
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	Shannon Rauch
attribute	NC_GLOBAL	people_2_person_nid	String	51498
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	Coral Reef Ecosystem OA Impact
attribute	NC_GLOBAL	projects_0_acronym	String	Coral Reef Ecosystem OA Impact
attribute	NC_GLOBAL	projects_0_description	String	text copied from the NSF award abstract: Much of our understanding of the impact of ocean acidification on coral reef calcification comes from laboratory manipulation experiments in which reef organisms are removed from their natural habitat and reared under conditions of calcium carbonate saturation (Omega) predicted for the tropical oceans at the end of this century. By comparison, there is a paucity of in situ data describing the sensitivity of coral reef ecosystems to changes in calcium carbonate saturation. Yet emerging evidence suggests there may be critical differences between the calcification response of organisms in culture and the net calcification response of a coral reef ecosystem, to the same degree of change in calcium carbonate saturation. In the majority of cases, the sensitivity of net reef calcification to changing calcium carbonate saturation is more severe than laboratory manipulation experiments predict. Clearly, accurate predictions of the response of coral reef ecosystems to 21st century ocean acidification will depend on a robust characterization of ecosystem-scale responses and an understanding of the fundamental processes that shape them. Using existing data, the investigators show that the sensitivity of coral reef ecosystem calcification to Delta calcium carbonate saturation conforms to the empirical rate equation R=k(Aragonite saturation state -1)n, which also describes the relationship between the rate of net abiogenic CaCO3 precipitation (R) and the degree of Aragonite supersaturation (Aragonite saturation state-1). By implication, the net ecosystem calcification (NEC) response to ocean acidification is governed by fundamental laws of physical chemistry and is potentially predictable across space and time. When viewed this way, the existing, albeit sparse, dataset of NEC reveals distinct patterns that, if verified, have important implications for how different coral reef ecosystems will respond to 21st century ocean acidification. The investigators have outlined a research program designed to build on this proposition. The project expands the currently sparse dataset of ecosystem-scale observations at four strategically placed reef sites: 2 sites in the Republic of Palau, Caroline Islands, Micronesia, western Pacific Ocean; a third at Dongsha Atoll, Pratas Islands, South China Sea; and the fourth at Kingman Reef, US Northern Line Islands, 6 deg. 23 N, 162 deg. 25 W.  The four selected sites will allow investigators to test the following hypotheses: (1) The sensitivity ("n" in the rate equation) of coral reef ecosystem calcification to Delta Aragonite saturation state decreases with decreasing Aragonite saturation state. By implication, the rate at which reef calcification declines will slow as ocean acidification progresses over the course of this century. (2) The energetic status of the calcifying community is a key determinant of absolute rates of net ecosystem calcification ("k" in the rate equation), which, combined with n, defines the Aragonite saturation state value at which NEC approaches zero. By implication, the shift from net calcification to net dissolution will be delayed in healthy, energetically replete coral reef ecosystems and accelerated in perturbed, energetically depleted ecosystems. and (3) The calcification response of individual colonies of dominant reef calcifiers (corals and algae) is weaker than the measured ecosystem-scale response to the same change in Aragonite saturation state. By implication, processes not adequately captured in laboratory experiments, such as bioerosion and dissolution, will play an important role in the coral reef response to ocean acidification. Broader Impacts: Ocean acidification threatens the livelihoods of 500 million people worldwide who depend on coral reefs to provide habitable and agricultural land, food, building materials, coastal protection and income from tourism. Yet data emerging from ocean acidification (OA) studies point to critical gaps in our knowledge of reef ecosystem-scale responses to OA that currently limit our ability to predict the timing and severity of its impact on different reefs in different parts of the world. Using existing data generated by the investigators and others, this project will address a series of related hypotheses, which, if verified by the research, will have an immediate, direct impact on predictions of coral reef resilience in a high CO2 world. This project brings together expertise in coral reef biogeochemistry, chemical oceanography and physical oceanography to focus on a problem that has enormous societal, economic and conservation relevance. In addition to sharing the resultant data via BCO-DMO, project data will also be contributed to the Ocean Acidification International Coordination Centre (OA-ICC) data collection hosted at the PANGAEA Open Access library (http://www.pangaea.de).
attribute	NC_GLOBAL	projects_0_end_date	String	2015-08
attribute	NC_GLOBAL	projects_0_geolocation	String	Republic of Palau, Caroline Islands, Micronesia, western Pacific Ocean; Dongsha Atoll, Pratas Islands, South China Sea; Kingman Reef, US Northern Line Islands, 6 deg. 23 N, 162 deg. 25 W
attribute	NC_GLOBAL	projects_0_name	String	Toward Predicting the Impact of Ocean Acidification on Net Calcification by a Broad Range of Coral Reef Ecosystems: Identifying Patterns and Underlying Causes
attribute	NC_GLOBAL	projects_0_project_nid	String	520413
attribute	NC_GLOBAL	projects_0_start_date	String	2012-09
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	Weekly coral calcification rates in the CO2 manipulation experiment conducted on Porites corals from Palau.
attribute	NC_GLOBAL	title	String	[Weekly Calcification Rates] - Weekly coral calcification rates in the CO2 manipulation experiment conducted on Porites corals from Palau (Toward Predicting the Impact of Ocean Acidification on Net Calcification by a Broad Range of Coral Reef Ecosystems: Identifying Patterns and Underlying Causes)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	week		byte
attribute	week	_FillValue	byte	127
attribute	week	actual_range	byte	3, 8
attribute	week	bcodmo_name	String	time_point
attribute	week	description	String	Week of experiment
attribute	week	long_name	String	Week
attribute	week	units	String	unitless
variable	CO2_treatment		String
attribute	CO2_treatment	bcodmo_name	String	treatment
attribute	CO2_treatment	description	String	Experimental carbon dioxide level (low, medium, high)
attribute	CO2_treatment	long_name	String	CO2 Treatment
attribute	CO2_treatment	units	String	unitless
variable	reef_omega_AR		float
attribute	reef_omega_AR	_FillValue	float	NaN
attribute	reef_omega_AR	actual_range	float	2.3, 3.7
attribute	reef_omega_AR	bcodmo_name	String	OM_ar
attribute	reef_omega_AR	description	String	Saturation state of aragonite of the reef where each coral was collected
attribute	reef_omega_AR	long_name	String	Reef Omega AR
attribute	reef_omega_AR	units	String	unitless
variable	calc_rate		float
attribute	calc_rate	_FillValue	float	NaN
attribute	calc_rate	actual_range	float	-2.867, 13.143
attribute	calc_rate	bcodmo_name	String	calcification
attribute	calc_rate	description	String	Mean calcification rate of each CO2 and reef group determined by difference between weekly buoyant weight measurements
attribute	calc_rate	long_name	String	Calc Rate
attribute	calc_rate	units	String	milligrams per square centimeter per week (mg/cm2/wk)
variable	calc_rate_se		float
attribute	calc_rate_se	_FillValue	float	NaN
attribute	calc_rate_se	actual_range	float	0.996, 3.468
attribute	calc_rate_se	bcodmo_name	String	calcification
attribute	calc_rate_se	description	String	Standard error of calcification rates
attribute	calc_rate_se	long_name	String	Calc Rate Se
attribute	calc_rate_se	units	String	milligrams per square centimeter per week (mg/cm2/wk)

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.