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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 | Institution | Dataset ID |
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set | data | graph | files | public | [Lophelia pertusa experiments: calcification and pH] - Net calcification of L. pertusa specimens exposed to different pH treatments collected on R/V Ronald Brown in Florida from October to November 2010 (Lophelia OA project) (Physiological and genetic responses of the deep-water coral, Lophelia pertusa, to ongoing ocean acidification in the Gulf of Mexico) | I M | background | BCO-DMO | bcodmo_dataset_659109 |
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 | All methods are fully described in: Lunden et al. 2014 Frontiers in Marine Science \u201cAcute survivorship of the deep-sea coral Lophelia pertusa from the Gulf of Mexico under acidification, warming, and deoxygenation\u201d From the Paper: Forty-one nubbins of L. pertusa used in the experiments were collected in November 2010 on the NOAA Ship Ronald H. Brown with ROV Jason II as part of the \u201cLophelia II\u201d project jointly sponsored by the Bureau of Ocean Energy Management and the NOAA Office of Ocean Exploration and Research in the Gulf of Mexico (GoM). Permits for the collection of corals were obtained from the U.S. Department of the Interior prior to any collection activities. Spatially discrete coral branches were collected with the ROV and placed in temperature-insulated bioboxes (volume = 20 l) at depth. Upon return to the surface, corals were kept alive in 20 l aquaria in the ship\u2019s constant- temperature room. Partial water changes were made regularly while at sea. Upon return to port, corals were immediately transported overnight to the laboratory on wet ice. In the laboratory, corals were maintained in one of two 570 liter recirculating aquaria systems at temperature 8 degrees celsius and salinity 35 ppt (Lunden et al., 2014). Regular partial water changes (15\u201320%) were performed with seawater made using Instant Ocean\u00a0sea salt. Submersible power heads were placed in each holding tank to ensure water movement and turbulence sufficient to cause swaying of coral polyps. Corals were fed three times weekly using a combination of MarineSnow\u00a0PlanktonDiet (Two Little Fishies, Miami Gardens, FL) and freshly hatched Artemia nauplii. Survivorship was assessed by daily observations of polyp tissue presence and behavior. Final survivorship counts were taken 3 to 4 days following the end of each treatment after transfer to the maintenance tank. Survivorship is reported as percent cumulative mortality. Net calcification was measured using the buoyant weight technique (Davies, 1989). Coral nubbins were buoyantly weighed at the start and end of each experimental period (days eight and fifteen) using a Denver Instruments SI-64 analytical balance (d = 0.1mg, Fisher Scientific, Waltham, MA). A weighing chamber was constructed using 1/2\u201d plexiglass to prevent disturbances from air movement during weighing. Each coral nubbin was transported individually from its respective aquarium to the weighing chamber in a four- liter Pyrex\u00a0beaker and suspended from the balance. The buoyant weight was recorded after the coral nubbin stabilized, typically 2 min. Each coral nubbin was weighed three times to determine measurement precision (2\u20133 mg). Seawater density was determined in each aquarium by buoyantly weighing a 2.5 cm^2 aluminum block with known density (2.7 g/cm^\u22123). Coral weight in air (i.e., dry weight) was calculated by the following equation:\u00a0 Wa = Ww / (1\u2212 (Dw/SD))\u00a0 Where Wa = coral weight in air (dry weight)\u00a0 Ww = coral weight in water (buoyant weight)\u00a0 Dw = density of seawater\u00a0 SD = coral skeletal density (= 2.82 g/cm^\u22123, Lunden et al., 2013).\u00a0 Coral growth rate is reported as percent growth per day (%/d\u22121), which was calculated by the equation: Gt = 100 \u00d7 (Mt2 \u2212 Mt1)/(Mt1(T2 \u2212T1)) Where Gt =growth rate as %/d^\u22121\u00a0 Mt2 = mass (mg, dry weight) at time 2 (end of experimental period, day 15)\u00a0 Mt1= mass (mg, dry weight) at time 1 (start of experimental period, day 8) T2 = time 2 (end of experimental period, day 15)\u00a0 T1= time 1 (start of experimental period, day 8) |
attribute | NC_GLOBAL | awards_0_award_nid | String | 54992 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1220478 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward?AWD_ID=1220478 |
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 | pH data from Lophelia pertusa experiments Erik Cordes, PI Version 16 September 2016 |
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 | 2016-09-20T00:01:17Z |
attribute | NC_GLOBAL | date_modified | String | 2019-05-10T18:02:33Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.659109.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/659109 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Water Temp Sensor |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Indicates water temperature |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 659592 |
attribute | NC_GLOBAL | instruments_0_description | String | General term for an instrument that measures the temperature of the water with which it is in contact (thermometer). |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/134/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Water Temperature Sensor |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 647 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Temperature sensor |
attribute | NC_GLOBAL | instruments_1_acronym | String | Aquarium |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | 20 L aquaria were used on the ship and 570 L recirculating aquaria systems were used in the lab |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 659590 |
attribute | NC_GLOBAL | instruments_1_description | String | Aquarium - a vivarium consisting of at least one transparent side in which water-dwelling plants or animals are kept |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Aquarium |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 711 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | Aquarium |
attribute | NC_GLOBAL | instruments_2_acronym | String | Scale |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_description | String | Used for buoyant weights; d = 0.1mg, Fisher Scientific |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 659591 |
attribute | NC_GLOBAL | instruments_2_description | String | An instrument used to measure weight or mass. |
attribute | NC_GLOBAL | instruments_2_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB13/ |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | Scale |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 714 |
attribute | NC_GLOBAL | instruments_2_supplied_name | String | Denver Instruments SI-64 Analytical Balance |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, calcification, chemical, data, dataset, density, dmo, dry, dry_weight_end, dry_weight_start, earth, Earth Science > Oceans > Salinity/Density > Salinity, end, erddap, group, individual, management, net, net_calcification, ocean, oceanography, oceans, office, omega, omega_Ar, percent, percent_survivorship, pH_total, pH_treatment, practical, preliminary, salinity, science, sea, sea_water_practical_salinity, seawater, start, survivorship, temperature, total, treatment, water, weight |
attribute | NC_GLOBAL | keywords_vocabulary | String | GCMD Science Keywords |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/659109/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/659109 |
attribute | NC_GLOBAL | param_mapping | String | {'659109': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/659109/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Temple University |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | Temple |
attribute | NC_GLOBAL | people_0_person_name | String | Erik E Cordes |
attribute | NC_GLOBAL | people_0_person_nid | String | 51539 |
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 | Temple University |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | Temple |
attribute | NC_GLOBAL | people_1_person_name | String | Erik E Cordes |
attribute | NC_GLOBAL | people_1_person_nid | String | 51539 |
attribute | NC_GLOBAL | people_1_role | String | Contact |
attribute | NC_GLOBAL | people_1_role_type | String | related |
attribute | NC_GLOBAL | people_2_affiliation | String | Lock Haven University |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | LHU |
attribute | NC_GLOBAL | people_2_person_name | String | Dr Jay Lunden |
attribute | NC_GLOBAL | people_2_person_nid | String | 659079 |
attribute | NC_GLOBAL | people_2_role | String | Contact |
attribute | NC_GLOBAL | people_2_role_type | String | related |
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 | Hannah Ake |
attribute | NC_GLOBAL | people_3_person_nid | String | 650173 |
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 | Lophelia OA |
attribute | NC_GLOBAL | projects_0_acronym | String | Lophelia OA |
attribute | NC_GLOBAL | projects_0_description | String | The Gulf of Mexico deep water ecosystems are threatened by the persistent threat of ocean acidification. Deep-water corals will be among the first to feel the effects of this process, in particular the deep-water scleractinians that form their skeleton from aragonite. The continued shoaling of the aragonite saturation horizon (the depth below which aragonite is undersaturated) will place many of the known, and as yet undiscovered, deep-water corals at risk in the very near future. The most common deep-water framework-forming scleractinian in the world's oceans is Lophelia pertusa. This coral is most abundant in the North Atlantic, where aragonite saturation states are relatively high, but it also creates extensive reef structures between 300 and 600 m depth in the Gulf of Mexico where aragonite saturation states were previously unknown. Preliminary data indicate that pH at this depth range is between 7.85 and 8.03, and the aragonite saturation state is typically between 1.28 and 1.69. These are the first measurements of aragonite saturation state for the deep Gulf of Mexico, and are among the lowest Aragonite saturation state yet recorded for framework-forming corals in any body of water, at any depth. This project will examine the effects of ocean acidification on L. pertusa, combining laboratory experiments, rigorous oceanographic measurements, the latest genome and transcriptome sequencing platforms, and quantitative PCR and enzyme assays to examine changes in coral gene expression and enzyme activity related to differences in carbonate chemistry. Short-term and long-term laboratory experiments will be performed at Aragonite saturation state of 1.45 and 0.75 and the organismal (e.g., survivorship and calcification rate) and genetic (e.g., transcript abundance) responses of the coral will be monitored. Genomic DNA and RNA will be extracted, total mRNA purified, and comprehensive and quantitative profiles of the transcriptome generated using a combination of 454 and Illumina sequencing technologies. Key genes in the calcification pathways as well as other differentially expressed genes will be targeted for specific qPCR assays to verify the Illumina sequencing results. On a research cruise, L. pertusa will be sampled (preserved at depth) along a natural gradient in carbonate chemistry, and included in the Illumina sequencing and qPCR assays. Water samples will be obtained by submersible-deployed niskin bottles adjacent to the coral collections as well as CTD casts of the water column overlying the sites. Water samples will be analyzed for pH, alkalinity, nitrates and soluble reactive phosphorus. These will be used in combination with historical data in a model to hindcast Aragonite saturation state. This project will provide new physiological and genetic data on an ecologically-significant and anthropogenically-threatened deepwater coral in the Gulf of Mexico. An experimental system, already developed by the PIs, offers controlled conditions to test the effect of Aragonite saturation state on calcification rates in scleractinians and, subsequently, to identify candidate genes and pathways involved in the response to reduced pH and Aragonite saturation state. Both long-term and population sampling experiments will provide additional transcriptomic data and specifically investigate the expression of the candidate genes. These results will contribute to our understanding of the means by which scleractinians may acclimate and acclimatize to low pH, alkalinity, and Aragonite saturation state. Furthermore, the investigators will continue a time series of oceanographic measurements of the carbonate system in the Gulf of Mexico, which will allow the inclusion of this significant body of water in models of past and future ocean acidification scenarios. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2015-08 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Northern Gulf of Mexico |
attribute | NC_GLOBAL | projects_0_name | String | Physiological and genetic responses of the deep-water coral, Lophelia pertusa, to ongoing ocean acidification in the Gulf of Mexico |
attribute | NC_GLOBAL | projects_0_project_nid | String | 2224 |
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 | subsetVariables | String | percent_survivorship |
attribute | NC_GLOBAL | summary | String | Net calcification of L. pertusa specimens exposed to different pH treatments collected on R/V Ronald Brown in Florida from October to November 2010 (Lophelia OA project) |
attribute | NC_GLOBAL | title | String | [Lophelia pertusa experiments: calcification and pH] - Net calcification of L. pertusa specimens exposed to different pH treatments collected on R/V Ronald Brown in Florida from October to November 2010 (Lophelia OA project) (Physiological and genetic responses of the deep-water coral, Lophelia pertusa, to ongoing ocean acidification in the Gulf of Mexico) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | pH_treatment | String | ||
attribute | pH_treatment | bcodmo_name | String | treatment |
attribute | pH_treatment | description | String | pH treatment; ambient, low, or very low |
attribute | pH_treatment | long_name | String | P H Treatment |
attribute | pH_treatment | units | String | unitless |
variable | group | byte | ||
attribute | group | _FillValue | byte | 127 |
attribute | group | actual_range | byte | 1, 2 |
attribute | group | bcodmo_name | String | sample |
attribute | group | description | String | Specimen group |
attribute | group | long_name | String | Group |
attribute | group | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | group | units | String | unitless |
variable | individual | byte | ||
attribute | individual | _FillValue | byte | 127 |
attribute | individual | actual_range | byte | 2, 34 |
attribute | individual | bcodmo_name | String | individual |
attribute | individual | description | String | Specimen ID number |
attribute | individual | long_name | String | Individual |
attribute | individual | units | String | unitless |
variable | temperature | float | ||
attribute | temperature | _FillValue | float | NaN |
attribute | temperature | actual_range | float | 7.0833, 9.0 |
attribute | temperature | bcodmo_name | String | temperature |
attribute | temperature | description | String | Water temperature |
attribute | temperature | long_name | String | Temperature |
attribute | temperature | units | String | celsius |
variable | salinity | float | ||
attribute | salinity | _FillValue | float | NaN |
attribute | salinity | actual_range | float | 35.0833, 35.7 |
attribute | salinity | bcodmo_name | String | sal |
attribute | salinity | colorBarMaximum | double | 37.0 |
attribute | salinity | colorBarMinimum | double | 32.0 |
attribute | salinity | description | String | Salinity of water |
attribute | salinity | long_name | String | Sea Water Practical Salinity |
attribute | salinity | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/ |
attribute | salinity | units | String | PPT |
variable | TA | double | ||
attribute | TA | _FillValue | double | NaN |
attribute | TA | actual_range | double | 2204.8003, 2428.5232 |
attribute | TA | bcodmo_name | String | TALK |
attribute | TA | description | String | Total alkalinity of water |
attribute | TA | long_name | String | TA |
attribute | TA | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/ |
attribute | TA | units | String | micromoles per kilogram (umol/kg -1) |
variable | pH_total | float | ||
attribute | pH_total | _FillValue | float | NaN |
attribute | pH_total | actual_range | float | 7.5933, 7.9183 |
attribute | pH_total | bcodmo_name | String | pH |
attribute | pH_total | description | String | pH measured on the total hydrogen scale |
attribute | pH_total | long_name | String | P H Total |
attribute | pH_total | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/ |
attribute | pH_total | units | String | unitless |
variable | omega_Ar | float | ||
attribute | omega_Ar | _FillValue | float | NaN |
attribute | omega_Ar | actual_range | float | 0.7586, 1.5305 |
attribute | omega_Ar | bcodmo_name | String | OM_ar |
attribute | omega_Ar | description | String | Saturation state of aragonite |
attribute | omega_Ar | long_name | String | Omega Ar |
attribute | omega_Ar | units | String | unitless |
variable | dry_weight_start | float | ||
attribute | dry_weight_start | _FillValue | float | NaN |
attribute | dry_weight_start | actual_range | float | 4.1395, 48.7222 |
attribute | dry_weight_start | bcodmo_name | String | dry_wgt |
attribute | dry_weight_start | description | String | Dry weight at start of experiment |
attribute | dry_weight_start | long_name | String | Dry Weight Start |
attribute | dry_weight_start | units | String | grams |
variable | dry_weight_end | float | ||
attribute | dry_weight_end | _FillValue | float | NaN |
attribute | dry_weight_end | actual_range | float | 4.1492, 48.7121 |
attribute | dry_weight_end | bcodmo_name | String | dry_wgt |
attribute | dry_weight_end | description | String | Dry weight at end of experiment |
attribute | dry_weight_end | long_name | String | Dry Weight End |
attribute | dry_weight_end | units | String | grams |
variable | net_calcification | float | ||
attribute | net_calcification | _FillValue | float | NaN |
attribute | net_calcification | actual_range | float | -0.0387, 0.0917 |
attribute | net_calcification | bcodmo_name | String | growth |
attribute | net_calcification | description | String | Percent growth of coral colony per day |
attribute | net_calcification | long_name | String | Net Calcification |
attribute | net_calcification | units | String | percent per day (%/d -1) |
variable | percent_survivorship | byte | ||
attribute | percent_survivorship | _FillValue | byte | 127 |
attribute | percent_survivorship | actual_range | byte | 100, 100 |
attribute | percent_survivorship | bcodmo_name | String | unknown |
attribute | percent_survivorship | colorBarMaximum | double | 100.0 |
attribute | percent_survivorship | colorBarMinimum | double | 0.0 |
attribute | percent_survivorship | description | String | Percent survivorship |
attribute | percent_survivorship | long_name | String | Percent Survivorship |
attribute | percent_survivorship | units | String | percent |
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.