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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:\n \nA marine snow imaging system was lowered through the water column to acquire\nphotographs of aggregates. The imaging system consisted of a collimated strobe\nsystem and either a 35-mm film camera (Lobsiger Deepslope 6000; Years 1 - 3)\nor a digital camera (Insite Pacific Scorpio; Year 4) mounted on an aluminum\nframe. The system was lowered at a rate of 10 m min-1 through the water\ncolumn, acquiring ca. six images min-1 at an interval of ca. 1.7 m throughout\nthe entire water column. Illumination was provided by a pair of strobe lights\n(Deep Sea Power and Light) positioned to produce an 8.4-cm deep beam of\nuniform, collimated light 66 or 79 cm from the camera lens (Fig. 2).\nAggregates larger than 0.5 mm within this volume (3 - 15 L, depending on the\ncamera, lens and resultant geometry) are quantified from images taken by a\ncamera that is mounted perpendicular to the long axis of the light beam, which\ncan subsequently be distinguished and quantified by digital analysis. Ambient\nlight illuminates particles in front of and behind this light beam and\ninvalidates the calculation of illuminated volume. Thus, profiles were\nobtained near local midnight whenever possible (24-h photoperiods occurred\nthroughout all cruises) to minimize this interference; images with the frame\nvisible, due to ambient light, were discarded. The depth of first aggregate\ncounts ranged from 30 - 88 m (a function of water clarity and solar angle). A\nSea-Bird SeaCat CTD and 25-cm SeaTech transmissometer mounted on the camera\nframe provided continuous measurements of temperature, salinity and optical\ntransmission. These data were used to calculate the depth at which each image\nwas acquired. All film (Tmax 400) and images were returned to the laboratory\nfor processing except for short sections viewed at sea to assess camera\noperation. The films were developed and then digitized to JPG format either in\nhouse, using a Nikon camera and macro lens (3767 x 2368), or commercially\n(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 \n PI: Vernon Asper \n 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:\nDuring 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.\nRelated 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.\nSmith, 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.\nTremblay, 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.\nSmith, W.O. Jr. and D.G. Barber (Eds.). 2007. Polynyas: Windows to the World’s Oceans. Elsevier, Amsterdam. 437 pp.\nSmith, 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.\nSmith, 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.\nPeloquin, 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.\nSmith, 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.\nSmith, 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.\nSmith, 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).\nSmith, 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.\nLiu, 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.\nSmith, 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.\nPeloquin, 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.\nSmith, 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.\nSmith, W.O., Jr. and K. Donaldson. 2015. Photosynthesis-irradiance responses in the Ross Sea, Antarctica: a meta-analysis. Biogeosciences 12: 1-11.\nAsper, 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).\nSmith, 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 |