ERDDAP > info > bcodmo_dataset_747872

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
	set	data	graph		files	public	[Heterosigma akashiwo acclimation] - NCBI accessions of the harmful alga Heterosigma akashiwo (CCMP2393) grown under a range of CO2 concentrations from 200-1000 ppm (Impacts of Evolution on the Response of Phytoplankton Populations to Rising CO2)		I   M	background			BCO-DMO	bcodmo_dataset_747872

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	Uni-algal, non-axenic cultures of Heterosigma akashiwo (CCMP2393) were grown in L1 medium (without silicate) made with a Long Island Sound seawater base collected from Avery Point, CT, USA (salinity 32) at 18\u00b0C with a 14:10 (light:dark) cycle with an irradiance of approximately 100 \u00b5mol m-2 s-1 . Cells were acclimated in exponential growth phase to different carbonate chemistries in 1.2 L of L1 media in 2.5-L polycarbonate bottles. To control the carbonate chemistry of the water, the headspace of each bottle was purged continuously with a custom gas mixture of ~21% oxygen, ~79% nitrogen and either 200, 400, 600, 800 or 1000 ppmv CO2 (TechAir, NY). At the point of harvest, 150 mL (~6 x 106 cells) were filtered on to 5 \u00b5m pore size, 25 mm polycarbonate filter and flash frozen in liquid nitrogen. Genetic material from samples was extracted with the RNeasy Mini kit (Qiagen, Valencia, CA) and DNA was removed on-column using the RNase-free DNase Set (Qiagen), yielding total RNA. Total RNA extracts of the triplicate cultures were quantified on a 2100 Bioanalyzer (Agilent, Santa Clara, CA). Libraries were prepared using poly-A pull down with the TruSeq Stranded mRNA Library Prep kit (Illumina, San Diego, CA). Library preparation, barcoding, and sequencing from each library was performed by the JP Sulzberger Columbia University Genome Center (New York, NY). Sequence reads were de-multiplexed and trimmed to remove sequencing barcodes. Reads were aligned using Bowtie2 (Langmead and Salzberg 2012) to the MMETSP consensus contigs for Heterosigma akashiwo CCMP2393 ([https://omictools.com /marine-microbial-eukaryotic-transcriptome- sequenci...](\\"https://omictools.com/marine-microbial-eukaryotic- transcriptome-sequencing-project-tool\\")). Significant differences between physiological parameters by CO2 treatment were assessed with analysis of variance (ANOVA) and Tukey\u2019s honestly significant differences test (aov and TukeyHSD, stats, R). Differential expression of genes in any CO2 treatment compared to modern was determined using the general linear model (GLM) exact test (edgeR, R). Briefly, the read counts were normalized by trimmed mean of M-values (TMM) using the function calcNormFactors, tagwise dispersions were calculated with the function estimateGLMTagwiseDisp, a GLM was fit using glmFit, and log2 fold change (logFC) for each treatment was calculated relative to average expression at modern CO2. P-values from likelihood ratio tests were corrected for multiple testing using the false discovery method (fdr).
attribute	NC_GLOBAL	awards_0_award_nid	String	55197
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1314336
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward?AWD_ID=1314336
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	Hak_acclim The harmful alga Heterosigma akashiwo (CCMP2393) grown under a range of CO2 concentrations from 200-1000 ppm. PI's: S. Dyhrman (LDEO), J. Morris (U Alabama) version: 2018-10-11 See also: https://www.ncbi.nlm.nih.gov/bioproject/377729
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	2018-10-11T18:15:14Z
attribute	NC_GLOBAL	date_modified	String	2019-03-18T18:41:47Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.747872.1
attribute	NC_GLOBAL	geospatial_vertical_positive	String	down
attribute	NC_GLOBAL	geospatial_vertical_units	String	m
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/747872
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	Automated Sequencer
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	Used to prepare the mRNA libraries. Samples were barcoded for multiplex sequencing and run on in a single lane by the Columbia University Genome Center (CUGC) (New York, NY).
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	747879
attribute	NC_GLOBAL	instruments_0_description	String	General term for a laboratory instrument used for deciphering the order of bases in a strand of DNA. Sanger sequencers detect fluorescence from different dyes that are used to identify the A, C, G, and T extension reactions. Contemporary or Pyrosequencer methods are based on detecting the activity of DNA polymerase (a DNA synthesizing enzyme) with another chemoluminescent enzyme. Essentially, the method allows sequencing of a single strand of DNA by synthesizing the complementary strand along it, one base pair at a time, and detecting which base was actually added at each step.
attribute	NC_GLOBAL	instruments_0_instrument_name	String	Automated DNA Sequencer
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	649
attribute	NC_GLOBAL	instruments_0_supplied_name	String	Illumina Hi-seq 2500 paired-end sequencing (PE100) with TruSeq RNA sample Prep Kit (Illumina, San Diego, CA)
attribute	NC_GLOBAL	keywords	String	accession, alkalinity, bco, bco-dmo, biological, biomaterial, biomaterial_provider, biome, bioproject, bioproject_accession, carbon, carbon dioxide, chemical, chemistry, co2, CO2_ppm, collected, collected_by, collection, dark, data, dataset, date, depth, dioxide, dmo, earth, Earth Science > Oceans > Ocean Chemistry > pH, env, env_biome, erddap, genotype, geo, geo_loc_name, history, host, isolate, isolation, isolation_source, latitude, level, light, light_dark_hr, light_level_umol_m2_s, loc, management, media, name, ocean, oceanography, oceans, office, organism, passage, passage_history, ppm, preliminary, provider, reported, samp, samp_size, sample, sample_name, sample_title, sample_type, scale, science, sea, sea_water_ph_reported_on_total_scale, seawater, size, source, strain, temp_C, temperature, time, title, total, type, umol, water
attribute	NC_GLOBAL	keywords_vocabulary	String	GCMD Science Keywords
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/747872/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/747872
attribute	NC_GLOBAL	param_mapping	String	{'747872': {'collection_date': 'flag - time', 'depth': 'master - depth'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/747872/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Lamont-Doherty Earth Observatory
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	LDEO
attribute	NC_GLOBAL	people_0_person_name	String	Sonya T. Dyhrman
attribute	NC_GLOBAL	people_0_person_nid	String	51101
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 Alabama at Birmingham
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	UA/Birmingham
attribute	NC_GLOBAL	people_1_person_name	String	James Jeffrey Morris
attribute	NC_GLOBAL	people_1_person_nid	String	51678
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	Lamont-Doherty Earth Observatory
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	LDEO
attribute	NC_GLOBAL	people_2_person_name	String	Gwenn Hennon
attribute	NC_GLOBAL	people_2_person_nid	String	546456
attribute	NC_GLOBAL	people_2_role	String	Scientist
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	P-ExpEv
attribute	NC_GLOBAL	projects_0_acronym	String	P-ExpEv
attribute	NC_GLOBAL	projects_0_description	String	Note: This project is also affiliated with the NSF BEACON Center for the Study of Evolution in Action. Project Description from NSF Award: Human activities are driving up atmospheric carbon dioxide concentrations at an unprecedented rate, perturbing the ocean's carbonate buffering system, lowering oceanic pH, and changing the concentration and composition of dissolved inorganic carbon. Recent studies have shown that this ocean acidification has many short-term effects on phytoplankton, including changes in carbon fixation among others. These physiological changes could have profound effects on phytoplankton metabolism and community structure, with concomitant effects on Earth's carbon cycle and, hence, global climate. However, extrapolation of present understanding to the field are complicated by the possibility that natural populations might evolve in response to their changing environments, leading to different outcomes than those predicted from short-term studies. Indeed, evolution experiments demonstrate that microbes are often able to rapidly adapt to changes in the environment, and that beneficial mutations are capable of sweeping large populations on time scales relevant to predictions of environmental dynamics in the coming decades. This project addresses two major areas of uncertainty for phytoplankton populations with the following questions: 1) What adaptive mutations to elevated CO2 are easily accessible to extant species, how often do they arise, and how large are their effects on fitness? 2) How will physical and ecological interactions affect the expansion of those mutations into standing populations? This study will address these questions by coupling experimental evolution with computational modeling of ocean biogeochemical cycles. First, cultured unicellular phytoplankton, representative of major functional groups (e.g. cyanobacteria, diatoms, coccolithophores), will be evolved under simulated year 2100 CO2 concentrations. From these experiments, estimates will be made of a) the rate of beneficial mutations, b) the magnitude of fitness gains conferred by these mutations, and c) secondary phenotypes (i.e., trade-offs) associated with these mutations, assayed using both physiological and genetic approaches. Second, an existing numerical model of the global ocean system will be modified to a) simulate the effects of changing atmospheric CO2 concentrations on ocean chemistry, and b) allow the introduction of CO2-specific adaptive mutants into the extant populations of virtual phytoplankton. The model will be used to explore the ecological and biogeochemical impacts of beneficial mutations in realistic environmental situations (e.g. resource availability, predation, etc.). Initially, the model will be applied to idealized sensitivity studies; then, as experimental results become available, the implications of the specific beneficial mutations observed in our experiments will be explored. This interdisciplinary study will provide novel, transformative understanding of the extent to which evolutionary processes influence phytoplankton diversity, physiological ecology, and carbon cycling in the near-future ocean. One of many important outcomes will be the development and testing of nearly-neutral genetic markers useful for competition studies in major phytoplankton functional groups, which has applications well beyond the current proposal.
attribute	NC_GLOBAL	projects_0_end_date	String	2017-05
attribute	NC_GLOBAL	projects_0_geolocation	String	Experiment housed in laboratories at Michigan State University
attribute	NC_GLOBAL	projects_0_name	String	Impacts of Evolution on the Response of Phytoplankton Populations to Rising CO2
attribute	NC_GLOBAL	projects_0_project_nid	String	2276
attribute	NC_GLOBAL	projects_0_start_date	String	2013-06
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	bioproject_accession,organism,strain,isolate,host,isolation_source,geo_loc_name,sample_type,biomaterial_provider,collected_by,depth,env_biome,genotype,passage_history,samp_size,temp_C,light_level_umol_m2_s,light_dark_hr
attribute	NC_GLOBAL	summary	String	This dataset includes metadata associated with NCBI BioProject PRJNA377729 \Impacts of Evolution on the Response of Phytoplankton Populations to Rising CO2\ PRJNA377729: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA377729. The alga Heterosigma akashiwo was grown at CO2 levels from about 200 to 1000 ppm and then the DNA and RNA were sequenced.
attribute	NC_GLOBAL	time_coverage_end	String	2017-07-13
attribute	NC_GLOBAL	time_coverage_start	String	2017-06-21
attribute	NC_GLOBAL	title	String	[Heterosigma akashiwo acclimation] - NCBI accessions of the harmful alga Heterosigma akashiwo (CCMP2393) grown under a range of CO2 concentrations from 200-1000 ppm (Impacts of Evolution on the Response of Phytoplankton Populations to Rising CO2)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	sample_name		String
attribute	sample_name	bcodmo_name	String	sample
attribute	sample_name	description	String	A unique name for the sample
attribute	sample_name	long_name	String	Sample Name
attribute	sample_name	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/ACYC/
attribute	sample_name	units	String	unitless
variable	sample_title		String
attribute	sample_title	bcodmo_name	String	sample
attribute	sample_title	description	String	Title of the sample
attribute	sample_title	long_name	String	Sample Title
attribute	sample_title	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/ACYC/
attribute	sample_title	units	String	unitless
variable	bioproject_accession		String
attribute	bioproject_accession	bcodmo_name	String	accession number
attribute	bioproject_accession	description	String	The accession number of the BioProject(s) to which the BioSample belongs.
attribute	bioproject_accession	long_name	String	Bioproject Accession
attribute	bioproject_accession	units	String	unitless
variable	organism		String
attribute	organism	bcodmo_name	String	taxon
attribute	organism	description	String	The most descriptive organism name for this sample
attribute	organism	long_name	String	Organism
attribute	organism	units	String	unitless
variable	strain		String
attribute	strain	bcodmo_name	String	unknown
attribute	strain	description	String	The microbial or eukaryotic strain name
attribute	strain	long_name	String	Strain
attribute	strain	units	String	unitless
variable	isolate		double
attribute	isolate	_FillValue	double	NaN
attribute	isolate	bcodmo_name	String	unknown
attribute	isolate	description	String	Identification or description of the specific individual from which this sample was obtained
attribute	isolate	long_name	String	Isolate
attribute	isolate	units	String	unitless
variable	host		double
attribute	host	_FillValue	double	NaN
attribute	host	bcodmo_name	String	unknown
attribute	host	description	String	The natural (as opposed to laboratory) host to the organism from which the sample was obtained.
attribute	host	long_name	String	Host
attribute	host	units	String	unitless
variable	isolation_source		double
attribute	isolation_source	_FillValue	double	NaN
attribute	isolation_source	bcodmo_name	String	site
attribute	isolation_source	description	String	Describes the physical - environmental and/or local geographical source of the biological sample from which the sample was derived.
attribute	isolation_source	long_name	String	Isolation Source
attribute	isolation_source	units	String	unitless
variable	time		double
attribute	time	_CoordinateAxisType	String	Time
attribute	time	actual_range	double	1.4980032E9, 1.499904E9
attribute	time	axis	String	T
attribute	time	bcodmo_name	String	date
attribute	time	description	String	Date of sampling formatted as yyyy-mm-dd
attribute	time	ioos_category	String	Time
attribute	time	long_name	String	Collection Date
attribute	time	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/
attribute	time	source_name	String	collection_date
attribute	time	standard_name	String	time
attribute	time	time_origin	String	01-JAN-1970 00:00:00
attribute	time	time_precision	String	1970-01-01
attribute	time	units	String	seconds since 1970-01-01T00:00:00Z
variable	geo_loc_name		String
attribute	geo_loc_name	bcodmo_name	String	site
attribute	geo_loc_name	description	String	Geographical origin of the sample
attribute	geo_loc_name	long_name	String	Geo Loc Name
attribute	geo_loc_name	units	String	unitless
variable	sample_type		String
attribute	sample_type	bcodmo_name	String	sample_descrip
attribute	sample_type	description	String	Sample type
attribute	sample_type	long_name	String	Sample Type
attribute	sample_type	units	String	unitless
variable	biomaterial_provider		String
attribute	biomaterial_provider	bcodmo_name	String	laboratory
attribute	biomaterial_provider	description	String	Name and address of the lab or PI or a culture collection identifier
attribute	biomaterial_provider	long_name	String	Biomaterial Provider
attribute	biomaterial_provider	units	String	unitless
variable	collected_by		double
attribute	collected_by	_FillValue	double	NaN
attribute	collected_by	bcodmo_name	String	person
attribute	collected_by	description	String	Name of persons or institute who collected the sample
attribute	collected_by	long_name	String	Collected By
attribute	collected_by	units	String	unitless
variable	depth		double
attribute	depth	_CoordinateAxisType	String	Height
attribute	depth	_CoordinateZisPositive	String	down
attribute	depth	_FillValue	double	NaN
attribute	depth	axis	String	Z
attribute	depth	bcodmo_name	String	depth
attribute	depth	colorBarMaximum	double	8000.0
attribute	depth	colorBarMinimum	double	-8000.0
attribute	depth	colorBarPalette	String	TopographyDepth
attribute	depth	description	String	Sample collection depth
attribute	depth	ioos_category	String	Location
attribute	depth	long_name	String	Depth
attribute	depth	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/DEPH/
attribute	depth	positive	String	down
attribute	depth	standard_name	String	depth
attribute	depth	units	String	m
variable	env_biome		String
attribute	env_biome	bcodmo_name	String	site_descrip
attribute	env_biome	description	String	Descriptor of the broad ecological context of a sample.
attribute	env_biome	long_name	String	Env Biome
attribute	env_biome	units	String	unitless
variable	genotype		double
attribute	genotype	_FillValue	double	NaN
attribute	genotype	bcodmo_name	String	sample_descrip
attribute	genotype	description	String	Observed genotype
attribute	genotype	long_name	String	Genotype
attribute	genotype	units	String	unitless
variable	lat_lon		double
attribute	lat_lon	_FillValue	double	NaN
attribute	lat_lon	bcodmo_name	String	latitude
attribute	lat_lon	colorBarMaximum	double	90.0
attribute	lat_lon	colorBarMinimum	double	-90.0
attribute	lat_lon	description	String	latitude and longitude of sample colllection
attribute	lat_lon	long_name	String	Latitude
attribute	lat_lon	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LATX/
attribute	lat_lon	source_name	String	lat_lon
attribute	lat_lon	standard_name	String	latitude
attribute	lat_lon	units	String	decimal degrees
variable	passage_history		String
attribute	passage_history	bcodmo_name	String	treatment
attribute	passage_history	description	String	Number of passages and passage method
attribute	passage_history	long_name	String	Passage History
attribute	passage_history	units	String	unitless
variable	samp_size		String
attribute	samp_size	bcodmo_name	String	cell_concentration
attribute	samp_size	description	String	Amount or size of sample that was collected
attribute	samp_size	long_name	String	Samp Size
attribute	samp_size	units	String	unitless
variable	temp_C		byte
attribute	temp_C	_FillValue	byte	127
attribute	temp_C	actual_range	byte	18, 18
attribute	temp_C	bcodmo_name	String	temperature
attribute	temp_C	description	String	Temperature of the sample at time of sampling
attribute	temp_C	long_name	String	Temp C
attribute	temp_C	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/
attribute	temp_C	units	String	degrees Celsius
variable	light_level_umol_m2_s		byte
attribute	light_level_umol_m2_s	_FillValue	byte	127
attribute	light_level_umol_m2_s	actual_range	byte	100, 100
attribute	light_level_umol_m2_s	bcodmo_name	String	irradiance
attribute	light_level_umol_m2_s	description	String	Light level
attribute	light_level_umol_m2_s	long_name	String	Light Level Umol M2 S
attribute	light_level_umol_m2_s	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/VSRW/
attribute	light_level_umol_m2_s	units	String	micromol photons m-2 s-1
variable	light_dark_hr		String
attribute	light_dark_hr	bcodmo_name	String	duration
attribute	light_dark_hr	description	String	duration of light and dark cycles
attribute	light_dark_hr	long_name	String	Light Dark Hr
attribute	light_dark_hr	units	String	hours
variable	Media		String
attribute	Media	bcodmo_name	String	unknown
attribute	Media	description	String	Type of growth medium used
attribute	Media	long_name	String	Media
attribute	Media	units	String	unitless
variable	CO2_ppm		float
attribute	CO2_ppm	_FillValue	float	NaN
attribute	CO2_ppm	actual_range	float	206.64, 1051.43
attribute	CO2_ppm	bcodmo_name	String	pCO2
attribute	CO2_ppm	description	String	CO2 concentration
attribute	CO2_ppm	long_name	String	CO2 Ppm
attribute	CO2_ppm	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/
attribute	CO2_ppm	units	String	parts per million
variable	Alkalinity		short
attribute	Alkalinity	_FillValue	short	32767
attribute	Alkalinity	actual_range	short	2029, 2096
attribute	Alkalinity	bcodmo_name	String	TALK
attribute	Alkalinity	description	String	Alkalinity of sample
attribute	Alkalinity	long_name	String	Alkalinity
attribute	Alkalinity	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/
attribute	Alkalinity	units	String	micromol per kilogram (umol/kg)
variable	pH		float
attribute	pH	_FillValue	float	NaN
attribute	pH	actual_range	float	7.54, 8.14
attribute	pH	bcodmo_name	String	pH
attribute	pH	colorBarMaximum	double	9.0
attribute	pH	colorBarMinimum	double	7.0
attribute	pH	description	String	The measure of the acidity or basicity of an aqueous solution
attribute	pH	long_name	String	Sea Water Ph Reported On Total Scale
attribute	pH	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/
attribute	pH	units	String	unitless; pH scale

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.