ERDDAP > info > bcodmo_dataset_719478

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	[IVARS Marine Snow profiles] - Abundance and size distribution of marine snow aggregates from profiles conducted during R/V Polar Star cruises in the Ross Sea, Antarctica between 2001 and 2005. (Interannual Variability in the Antarctic-Ross Sea (IVARS): Nutrients and Seasonal Production)		F   I   M	background			BCO-DMO	bcodmo_dataset_719478

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,.esriCsv,.geoJson,.odvTxt
attribute	NC_GLOBAL	acquisition_description	String	Methodology: A marine snow imaging system was lowered through the water column to acquire photographs of aggregates. The imaging system consisted of a collimated strobe system and either a 35-mm film camera (Lobsiger Deepslope 6000; Years 1 - 3) or a digital camera (Insite Pacific Scorpio; Year 4) mounted on an aluminum frame. The system was lowered at a rate of 10 m min-1 through the water column, acquiring ca. six images min-1 at an interval of ca. 1.7 m throughout the entire water column. Illumination was provided by a pair of strobe lights (Deep Sea Power and Light) positioned to produce an 8.4-cm deep beam of uniform, collimated light 66 or 79 cm from the camera lens (Fig. 2). Aggregates larger than 0.5 mm within this volume (3 - 15 L, depending on the camera, lens and resultant geometry) are quantified from images taken by a camera that is mounted perpendicular to the long axis of the light beam, which can subsequently be distinguished and quantified by digital analysis. Ambient light illuminates particles in front of and behind this light beam and invalidates the calculation of illuminated volume. Thus, profiles were obtained near local midnight whenever possible (24-h photoperiods occurred throughout all cruises) to minimize this interference; images with the frame visible, due to ambient light, were discarded. The depth of first aggregate counts ranged from 30 - 88 m (a function of water clarity and solar angle). A Sea-Bird SeaCat CTD and 25-cm SeaTech transmissometer mounted on the camera frame provided continuous measurements of temperature, salinity and optical transmission. These data were used to calculate the depth at which each image was acquired. All film (Tmax 400) and images were returned to the laboratory for processing except for short sections viewed at sea to assess camera operation. The films were developed and then digitized to JPG format either in house, using a Nikon camera and macro lens (3767 x 2368), or commercially (3544 x 2341).
attribute	NC_GLOBAL	awards_0_award_nid	String	686845
attribute	NC_GLOBAL	awards_0_award_number	String	PLR-0087401
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0087401
attribute	NC_GLOBAL	awards_0_funder_name	String	NSF Division of Polar Programs
attribute	NC_GLOBAL	awards_0_funding_acronym	String	NSF PLR
attribute	NC_GLOBAL	awards_0_funding_source_nid	String	490497
attribute	NC_GLOBAL	awards_0_program_manager	String	Dr Roberta Marinelli
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	51469
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Particles per liter PI: Vernon Asper Data Version 1: 2019-05-28
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	2017-11-16T20:55:23Z
attribute	NC_GLOBAL	date_modified	String	2019-06-13T15:32:39Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.719478.2
attribute	NC_GLOBAL	Easternmost_Easting	double	180.0
attribute	NC_GLOBAL	geospatial_lat_max	double	-76.4095
attribute	NC_GLOBAL	geospatial_lat_min	double	-77.668
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	180.0
attribute	NC_GLOBAL	geospatial_lon_min	double	-178.771
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	geospatial_vertical_max	double	671.66
attribute	NC_GLOBAL	geospatial_vertical_min	double	22.88
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/719478
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	Sea Tech Transmissometer
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	770287
attribute	NC_GLOBAL	instruments_0_description	String	The Sea Tech Transmissometer can be deployed in either moored or profiling mode to estimate the concentration of suspended or particulate matter in seawater. The transmissometer measures the beam attenuation coefficient in the red spectral band (660 nm) of the laser lightsource over the instrument's path-length (e.g. 20 or 25 cm). This instrument designation is used when specific make and model are not known. The Sea Tech Transmissometer was manufactured by Sea Tech, Inc. (Corvalis, OR, USA).
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L22/current/TOOL0003/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	Sea Tech Transmissometer
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	476
attribute	NC_GLOBAL	instruments_1_acronym	String	CTD SEACAT
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	770288
attribute	NC_GLOBAL	instruments_1_description	String	The CTD SEACAT recorder is an instrument package manufactured by Sea-Bird Electronics. The first Sea-Bird SEACAT Recorder was the original SBE 16 SEACAT developed in 1987. There are several model numbers including the SBE 16plus (SEACAT C-T Recorder (P optional))and the SBE 19 (SBE 19plus SEACAT Profiler measures conductivity, temperature, and pressure (depth)). More information from Sea-Bird Electronics.
attribute	NC_GLOBAL	instruments_1_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/350/
attribute	NC_GLOBAL	instruments_1_instrument_name	String	CTD Sea-Bird SEACAT
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	479
attribute	NC_GLOBAL	instruments_2_acronym	String	camera
attribute	NC_GLOBAL	instruments_2_dataset_instrument_description	String	see methodology
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	719486
attribute	NC_GLOBAL	instruments_2_description	String	All types of photographic equipment including stills, video, film and digital systems.
attribute	NC_GLOBAL	instruments_2_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/311/
attribute	NC_GLOBAL	instruments_2_instrument_name	String	Camera
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	520
attribute	NC_GLOBAL	instruments_2_supplied_name	String	Custom-built marine snow imaging system
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, bin, bin_0_0_to_0_5, bin_gt_0_5_to_1_0, bin_gt_1_0_to_1_5, bin_gt_1_5_to_2_0, bin_gt_2_0_to_2_5, bin_gt_2_5_to_3_0, bin_gt_3_0_to_3_5, bin_gt_3_5_to_4_0, bin_gt_4_0_to_4_5, bin_gt_4_5, biological, canister, chemical, cruise, cruise_name, data, dataset, date, depth, dmo, erddap, In_water_DateTime_UTC, In_water_time_local, latitude, local, longitude, management, name, oceanography, office, particles, particles_per_L, per, preliminary, station, time, water
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/719478/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/719478
attribute	NC_GLOBAL	Northernmost_Northing	double	-76.4095
attribute	NC_GLOBAL	param_mapping	String	{'719478': {'Latitude': 'flag - latitude', 'In_water_DateTime_UTC': 'flag - time', 'depth': 'flag - depth', 'Longitude': 'flag - longitude'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/719478/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of Southern Mississippi
attribute	NC_GLOBAL	people_0_person_name	String	Dr Vernon L. Asper
attribute	NC_GLOBAL	people_0_person_nid	String	50598
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	Virginia Institute of Marine Science
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	VIMS
attribute	NC_GLOBAL	people_1_person_name	String	Walker O. Smith
attribute	NC_GLOBAL	people_1_person_nid	String	50593
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	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_2_person_name	String	Amber York
attribute	NC_GLOBAL	people_2_person_nid	String	643627
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	IVARS
attribute	NC_GLOBAL	projects_0_acronym	String	IVARS
attribute	NC_GLOBAL	projects_0_description	String	NSF Award Abstract: During the past few decades of oceanographic research, it has been recognized that significant variations in biogeochemical processes occur among years. Interannual variations in the Southern Ocean are known to occur in ice extent and concentration, in the composition of herbivore communities, and in bird and marine mammal distributions and reproductive success. However, little is known about the interannual variations in production of phytoplankton or the role that these variations play in the food web. This project will collect time series data on the seasonal production of phytoplankton in the southern Ross Sea, Antarctica. Furthermore, it will assess the interannual variations of the production of the two major functional groups of the system, diatoms and Phaeocystis Antarctica, a colonial haptophyte. The Ross Sea provides a unique setting for this type of investigation for a number of reasons. For example, a de facto time-series has already been initiated in the Ross Sea through the concentration of a number of programs in the past ten years. It also is well known that the species diversity is reduced relative to other systems and its seasonal production is as great as anywhere in the Antarctic. Most importantly, seasonal production of both the total phytoplankton community (as well as its two functional groups) can be estimated from late summer nutrient profiles. The project will involve short cruises on the US Coast Guard ice breakers in the southern Ross Sea that will allow the collection of water column nutrient and particulate after data at specific locations in the late summer of each of five years. Additionally, two moorings with in situ nitrate analyzers moored at fifteen will be deployed, thus collecting for the first time in the in the Antarctic a time-series of euphotic zone nutrient concentrations over the entire growing season. All nutrient data will be used to calculate seasonal production for each year in the southern Ross Sea and compared to previously collected information, thereby providing an assessment of interannual variations in net community production. Particulate matter data will allow us to estimate the amount of export from the surface layer by late summer, and therefore calculate the interannual variability of this ecosystem process. Interannual variations of seasonal production (and of the major taxa of producers) are a potentially significant feature in the growth and survival of higher trophic levels within the food web of the Ross Sea. They are also important in order to understand the natural variability in biogeochemical processes of the region. Because polar regions such as the Ross Sea are predicted to be impacted by future climate change, biological changes are also anticipated. Placing these changes in the context of natural variability is an essential element of understanding and predicting such alterations. This research thus seeks to quantify the natural variability of an Antarctic coastal system, and ultimately understand its causes and impacts on food webs and biogeochemical cycles of the Ross Sea. Related publications:Smith, W.O., Jr., M.S. Dinniman, J.M. Klinck, and E. Hofmann. 2003. Biogeochemical climatologies in the Ross Sea, Antarctica: seasonal patterns of nutrients and biomass. Deep-Sea Res. II 50: 3083-3101. Smith, W.O., Jr., A.R. Shields, J.A. Peloquin, G. Catalano, S. Tozzi, M.S. Dinniman and V.A. Asper. 2006. Biogeochemical budgets in the Ross Sea:  variations among years. Deep-Sea Res. II 53: 815-833. Tremblay, J.-E. and W.O. Smith, Jr.  2007. Phytoplankton processes in polynyas.  In:  Polynyas: Windows to the World’s Oceans (W.O. Smith, Jr. and D.G. Barber, eds.), Elsevier, Amsterdam, Pp. 239-270. Smith, W.O. Jr. and D.G. Barber (Eds.).  2007. Polynyas: Windows to the World’s Oceans. Elsevier, Amsterdam. 437 pp. Smith, W.O. Jr. and D.G. Barber. 2007. Polynyas and climate change: a view to the future.  In: Polynyas: Windows to the World’s Oceans (W.O. Smith, Jr. and D.G. Barber, eds.), Elsevier, Amsterdam, Pp. 409-417. Smith, W.O. Jr., D.G. Ainley and R. Cattaneo-Vietti. 2007. Trophic interactions within the Ross Sea continental shelf ecosystem. Phil. Trans. Roy. Soc., ser. B 362: 95-111. Peloquin, J. A., and W. O. Smith, Jr.  2007. Phytoplankton blooms in the Ross Sea, Antarctica: Interannual variability in magnitude, temporal patterns, and composition. J. Geophys. Res. 112: C08013, doi:10.1029/2006JC003816. Smith, W.O. Jr. and J.C. Comiso. 2009. Southern Ocean primary productivity: variability and a view to the future. In Smithsonian at the Poles: Contributions to International Polar Year Science (I. Krupnik, M.A. Lang, and S.E. Miller, Eds.), Smithsonian Inst. Scholarly Press, Washington, D.C., pp. 309-318. Smith, W.O. Jr., M. Dinniman, G.R. DiTullio, S. Tozzi, O. Mangoni, M. Modigh and V. Saggiomo. 2010. Phytoplankton photosynthetic pigments in the Ross Sea: Patterns and relationships among functional groups. J. Mar. Systems 82: 177-185. Smith, W.O. Jr., V. Asper, S. Tozzi, X. Liu and S.E. Stammerjohn. 2011a. Surface layer variability in the Ross Sea, Antarctica as assessed by in situ fluorescence measurements. Prog. Oceanogr.  88: 28-45 (doi: 10.1016/j.pocean.2010.08.002). Smith, W.O. Jr., A.R. Shields, J. Dreyer, J.A. Peloquin and V. Asper. 2011b. Interannual variability in vertical export in the Ross Sea: magnitude, composition, and environmental correlates. Deep-Sea Res. I 58: 147-159. Liu, X. and W.O. Smith, Jr.  2012. A statistical analysis of the controls on phytoplankton distribution in the Ross Sea, Antarctica. J. Mar. Systems 94: 135-144. Smith, W.O. Jr., P.N. Sedwick, K.R. Arrigo, D.G. Ainley, and A.H. Orsi. 2012. The Ross Sea in a sea of change. Oceanography 25: 44-57. Peloquin, J., C. Swan, N. Gruber, M. Vogt, H. Claustre, J. Ras, J. Uitz, J-C. Marty, R. Barlow, M. Behrenfeld, R. Bidigare, H. Dierssen, G. DiTullio, E. Fernandez, C. Gallienne, S. Gibb, R. Goericke, L. Harding, E. Head, P. Holligan, S. Hooker, D. Karl, T. Knap, M. Landry, R. Letelier, C.A. Llewellyn, M. Lomas, M. Lucas, A. Mannino, J.-C. Marty, B. G. Mitchell, F. Müller-Karger, N. Nelson, C. O'Brien, B. Prezelin, D. Repeta, W. O. Smith, Jr., D. Smythe-Wright, R. Stumpf, A. Subramaniam, K. Suzuki, C. Trees, M. Vernet, K. Wasmund, and S. Wright. 2014. The MAREDAT global database of high performance liquid chromatography marine pigment measurements.  Earth System Science Data 5: 109-123. Smith, W.O. Jr., D.G. Ainley, K.R. Arrigo, and M.S. Dinniman. 2014. The oceanography and ecology of the Ross Sea.  Annu. Rev. Mar. Sci. 6: 469-487. Smith, W.O., Jr. and K. Donaldson. 2015. Photosynthesis-irradiance responses in the Ross Sea, Antarctica: a meta-analysis. Biogeosciences 12: 1-11. Asper, V.L. and W.O. Smith, Jr. Variations in the abundance and distribution of aggregates in the Ross Sea, Antarctica. Deep-Sea Res. I (submitted). Smith, W.O., Jr. and D.E. Kaufman. Particulate organic carbon climatologies in the Ross Sea: evidence for seasonal acclimations within phytoplankton. Prog. Oceanogr. (submitted).
attribute	NC_GLOBAL	projects_0_end_date	String	2006-03
attribute	NC_GLOBAL	projects_0_geolocation	String	Southern Ross Sea
attribute	NC_GLOBAL	projects_0_name	String	Interannual Variability in the Antarctic-Ross Sea (IVARS): Nutrients and Seasonal Production
attribute	NC_GLOBAL	projects_0_project_nid	String	686846
attribute	NC_GLOBAL	projects_0_start_date	String	2001-04
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	Southernmost_Northing	double	-77.668
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Abundance and size distribution of marine snow aggregates from profiles conducted during R/V Polar Star cruises in the Ross Sea, Antarctica between 2001 and 2005.
attribute	NC_GLOBAL	time_coverage_start	String	2001-12-22T08:32:00Z
attribute	NC_GLOBAL	title	String	[IVARS Marine Snow profiles] - Abundance and size distribution of marine snow aggregates from profiles conducted during R/V Polar Star cruises in the Ross Sea, Antarctica between 2001 and 2005. (Interannual Variability in the Antarctic-Ross Sea (IVARS): Nutrients and Seasonal Production)
attribute	NC_GLOBAL	version	String	2
attribute	NC_GLOBAL	Westernmost_Easting	double	-178.771
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	cruise_name		String
attribute	cruise_name	bcodmo_name	String	cruise_id
attribute	cruise_name	description	String	Name of the cruise which includes the year number and sequence number (For example, IVARS 1-1 is the first year and the first of two cruise)
attribute	cruise_name	long_name	String	Cruise Name
attribute	cruise_name	units	String	unitless
variable	Canister		String
attribute	Canister	bcodmo_name	String	sample_descrip
attribute	Canister	description	String	An internal reference to the film canister, if applicable. This is included to enable future resarchers to positively identify the correct film
attribute	Canister	long_name	String	Canister
attribute	Canister	units	String	unitless
variable	Station		String
attribute	Station	bcodmo_name	String	station
attribute	Station	description	String	Station number as assigned during the cruise. Many are at the same location but individual numbers are used to allow separation based on time
attribute	Station	long_name	String	Station
attribute	Station	units	String	unitless
variable	latitude		double
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	-77.668, -76.4095
attribute	latitude	axis	String	Y
attribute	latitude	bcodmo_name	String	latitude
attribute	latitude	colorBarMaximum	double	90.0
attribute	latitude	colorBarMinimum	double	-90.0
attribute	latitude	description	String	Latitude. Negative = South
attribute	latitude	ioos_category	String	Location
attribute	latitude	long_name	String	Latitude
attribute	latitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LATX/
attribute	latitude	standard_name	String	latitude
attribute	latitude	units	String	degrees_north
variable	longitude		double
attribute	longitude	_CoordinateAxisType	String	Lon
attribute	longitude	_FillValue	double	NaN
attribute	longitude	actual_range	double	-178.771, 180.0
attribute	longitude	axis	String	X
attribute	longitude	bcodmo_name	String	longitude
attribute	longitude	colorBarMaximum	double	180.0
attribute	longitude	colorBarMinimum	double	-180.0
attribute	longitude	description	String	Longitude. Negative = West
attribute	longitude	ioos_category	String	Location
attribute	longitude	long_name	String	Longitude
attribute	longitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LONX/
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east
variable	depth		double
attribute	depth	_CoordinateAxisType	String	Height
attribute	depth	_CoordinateZisPositive	String	down
attribute	depth	_FillValue	double	NaN
attribute	depth	actual_range	double	22.88, 671.66
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	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	date_local		String
attribute	date_local	bcodmo_name	String	date_local
attribute	date_local	description	String	Calendar Date in local (Christchurch, NZ) (NZST/NZDT)
attribute	date_local	long_name	String	Date Local
attribute	date_local	source_name	String	date_local
attribute	date_local	time_precision	String	1970-01-01
attribute	date_local	units	String	unitless
variable	In_water_time_local		String
attribute	In_water_time_local	bcodmo_name	String	time_local
attribute	In_water_time_local	description	String	Local time (HH:MM:SS) when the camera lowering began. Local time (Christchurch, NZ) (NZST/NZDT)
attribute	In_water_time_local	long_name	String	In Water Time Local
attribute	In_water_time_local	units	String	unitless
variable	time		double
attribute	time	_CoordinateAxisType	String	Time
attribute	time	actual_range	double	1.00900992E9, NaN
attribute	time	axis	String	T
attribute	time	bcodmo_name	String	ISO_DateTime_UTC
attribute	time	description	String	Timestamp (UTC) when the camera lowering began in standard ISO 8601:2004(E) format YYYY-mm-ddTHH:MM:SSZ
attribute	time	ioos_category	String	Time
attribute	time	long_name	String	In Water Date Time UTC
attribute	time	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/
attribute	time	standard_name	String	time
attribute	time	time_origin	String	01-JAN-1970 00:00:00
attribute	time	units	String	seconds since 1970-01-01T00:00:00Z
variable	particles_per_L		float
attribute	particles_per_L	_FillValue	float	NaN
attribute	particles_per_L	actual_range	float	0.0, 1507.92
attribute	particles_per_L	bcodmo_name	String	unknown
attribute	particles_per_L	description	String	Total number of particles larger than 0.5mm in diameter per liter number/liter
attribute	particles_per_L	long_name	String	Particles Per L
attribute	particles_per_L	units	String	count
variable	bin_0_0_to_0_5		float
attribute	bin_0_0_to_0_5	_FillValue	float	NaN
attribute	bin_0_0_to_0_5	actual_range	float	0.0, 164.51
attribute	bin_0_0_to_0_5	bcodmo_name	String	unknown
attribute	bin_0_0_to_0_5	description	String	Number of particles per liter number/liter between 0 and 0.5mm in size
attribute	bin_0_0_to_0_5	long_name	String	Bin 0 0 To 0 5
attribute	bin_0_0_to_0_5	units	String	count
variable	bin_gt_0_5_to_1_0		float
attribute	bin_gt_0_5_to_1_0	_FillValue	float	NaN
attribute	bin_gt_0_5_to_1_0	actual_range	float	0.0, 905.56
attribute	bin_gt_0_5_to_1_0	bcodmo_name	String	unknown
attribute	bin_gt_0_5_to_1_0	description	String	Number of particles per liter number/liter between 0.5 and 1.0mm in size
attribute	bin_gt_0_5_to_1_0	long_name	String	Bin Gt 0 5 To 1 0
attribute	bin_gt_0_5_to_1_0	units	String	count
variable	bin_gt_1_0_to_1_5		float
attribute	bin_gt_1_0_to_1_5	_FillValue	float	NaN
attribute	bin_gt_1_0_to_1_5	actual_range	float	0.0, 302.97
attribute	bin_gt_1_0_to_1_5	bcodmo_name	String	unknown
attribute	bin_gt_1_0_to_1_5	description	String	Number of particles per liter number/liter between 1.0 and 1.5mm in size
attribute	bin_gt_1_0_to_1_5	long_name	String	Bin Gt 1 0 To 1 5
attribute	bin_gt_1_0_to_1_5	units	String	count
variable	bin_gt_1_5_to_2_0		float
attribute	bin_gt_1_5_to_2_0	_FillValue	float	NaN
attribute	bin_gt_1_5_to_2_0	actual_range	float	0.0, 92.83
attribute	bin_gt_1_5_to_2_0	bcodmo_name	String	unknown
attribute	bin_gt_1_5_to_2_0	description	String	Number of particles per liter number/liter between 1.5 and 2.0mm in size
attribute	bin_gt_1_5_to_2_0	long_name	String	Bin Gt 1 5 To 2 0
attribute	bin_gt_1_5_to_2_0	units	String	count
variable	bin_gt_2_0_to_2_5		float
attribute	bin_gt_2_0_to_2_5	_FillValue	float	NaN
attribute	bin_gt_2_0_to_2_5	actual_range	float	0.0, 40.56
attribute	bin_gt_2_0_to_2_5	bcodmo_name	String	unknown
attribute	bin_gt_2_0_to_2_5	description	String	Number of particles per liter number/liter between 2.0 and 2.5mm in size
attribute	bin_gt_2_0_to_2_5	long_name	String	Bin Gt 2 0 To 2 5
attribute	bin_gt_2_0_to_2_5	units	String	count
variable	bin_gt_2_5_to_3_0		float
attribute	bin_gt_2_5_to_3_0	_FillValue	float	NaN
attribute	bin_gt_2_5_to_3_0	actual_range	float	0.0, 16.22
attribute	bin_gt_2_5_to_3_0	bcodmo_name	String	unknown
attribute	bin_gt_2_5_to_3_0	description	String	Number of particles per liter number/liter between 2.5 and 3.0mm in size
attribute	bin_gt_2_5_to_3_0	long_name	String	Bin Gt 2 5 To 3 0
attribute	bin_gt_2_5_to_3_0	units	String	count
variable	bin_gt_3_0_to_3_5		float
attribute	bin_gt_3_0_to_3_5	_FillValue	float	NaN
attribute	bin_gt_3_0_to_3_5	actual_range	float	0.0, 8.11
attribute	bin_gt_3_0_to_3_5	bcodmo_name	String	unknown
attribute	bin_gt_3_0_to_3_5	description	String	Number of particles per liter number/liter between 3.0 and 3.5mm in size
attribute	bin_gt_3_0_to_3_5	long_name	String	Bin Gt 3 0 To 3 5
attribute	bin_gt_3_0_to_3_5	units	String	count
variable	bin_gt_3_5_to_4_0		float
attribute	bin_gt_3_5_to_4_0	_FillValue	float	NaN
attribute	bin_gt_3_5_to_4_0	actual_range	float	0.0, 5.16
attribute	bin_gt_3_5_to_4_0	bcodmo_name	String	unknown
attribute	bin_gt_3_5_to_4_0	description	String	Number of particles per liter number/liter between 3.5 and 4.0mm in size
attribute	bin_gt_3_5_to_4_0	long_name	String	Bin Gt 3 5 To 4 0
attribute	bin_gt_3_5_to_4_0	units	String	count
variable	bin_gt_4_0_to_4_5		float
attribute	bin_gt_4_0_to_4_5	_FillValue	float	NaN
attribute	bin_gt_4_0_to_4_5	actual_range	float	0.0, 4.06
attribute	bin_gt_4_0_to_4_5	bcodmo_name	String	unknown
attribute	bin_gt_4_0_to_4_5	description	String	Number of particles per liter number/liter between 4.0 and 4.5mm in size
attribute	bin_gt_4_0_to_4_5	long_name	String	Bin Gt 4 0 To 4 5
attribute	bin_gt_4_0_to_4_5	units	String	count
variable	bin_gt_4_5		float
attribute	bin_gt_4_5	_FillValue	float	NaN
attribute	bin_gt_4_5	actual_range	float	0.0, 52.36
attribute	bin_gt_4_5	bcodmo_name	String	unknown
attribute	bin_gt_4_5	description	String	Number of particles per liter number/liter larger than 4.5mm in size
attribute	bin_gt_4_5	long_name	String	Bin Gt 4 5
attribute	bin_gt_4_5	units	String	count

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.