CDF row Cruise_ID_strlen Date_Time_PST_strlen access_formats =.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt acquisition_description Full details for collection and analyses of underway Chl samples are provided by Go\u00f1i et al., submitted . Brief summaries are provided below. Samples for this study were collected aboard RV Oceanus using the surface underway scientific system. Aboard the vessel we had access to uncontaminated seawater and collected samples at specific times that allowed us to determine location (latitude and longitude) and seawater characteristics (temperature and salinity) from the ships\u2019 navigation and sensor panels. We used a semi-automated filtration system (SAFS) described by Go\u00f1i et al., (2019) connected to Oceanus surface underway water to collect particulate samples for chlorophyll analyis. Surface underway water was connected to the SAFS through a manual flow-control valve via opaque polyethylene tubing.\u00a0 A fly wheel flow meter was placed in-line and connected to a laptop computer using a data acquisition system to measure and record flows during the filtration stage. A switching valve with 8 ports was placed downstream from the flow meter and controlled by the laptop.\u00a0 Under stand-by conditions, flow was directed to the \u2018waste\u2019 port, which was fitted with unobstructed tubing that drained into one of the ship\u2019s sinks and flowed back to sea.\u00a0 For Chlorophyll (Chl) measurements, samples were collected via the SAFS using 25 mm pre-combusted GF/F membranes placed inside stainless steel filter holders. Once filters were fitted in each of the sample ports, the filtration program was started to collect samples at selected intervals. Once the filtration run was completed, the filter housings were removed from the SAFS, opened, and each individual filter placed in a closed container and stored in -80oC freezer until analyses.\u00a0 Each sample was assigned a specific time stamp (start-end of filtration process) that coincided with the ship\u2019s clock and allowed us to retrieve location and oceanographic data for each sample, as well as determine an overall filtration volume, which was used to calculate total chlorophyll concentrations once analyses were completed. Samples were processed and analyzed following the method outlined in Strickland and Parsons (1972). Brifely, chlorophyll a concentrations were determined using the method of where samples were extracted in 90% acetone for 48 hours at -20\u00b0C in the dark and measured fluorometrically using a Turner Designs 10-AU fluorometer. References cited: Strickland & Parson, 1972; Go\u00f1i et al., 2019; Go\u00f1i et al., submitted. awards_0_award_nid 772629 awards_0_award_number OCE-1459480 awards_0_data_url ?http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459480 awards_0_funder_name NSF Division of Ocean Sciences awards_0_funding_acronym NSF OCE awards_0_funding_source_nid 355 awards_0_program_manager Henrietta N Edmonds awards_0_program_manager_nid 51517 cdm_data_type Other comment IParticulate chlorophyll PI: Miguel Goni Data Version 1: 2020-07-02 Conventions COARDS, CF-1.6, ACDD-1.3 creator_email info@bco-dmo.org creator_name BCO-DMO creator_type institution creator_url https://www.bco-dmo.org/ data_source ,extract_data_as_tsv version 2.3 19 Dec 2019 dataset_current_state Final and no updates date_created 2020-06-30T12:20:18Z date_modified 2020-07-24T00:54:37Z defaultDataQuery &time<now doi 10.26008/1912/bco-dmo.817214.1 Easternmost_Easting ^ geospatial_lat_max @Fx geospatial_lat_min @E䎊r geospatial_lat_units degrees_north geospatial_lon_max ^ geospatial_lon_min _@tj geospatial_lon_units degrees_east history {2024-03-28T08:38:07Z (local files) 2024-03-28T08:38:07Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_817214.nc id bcodmo_dataset_817214 infoUrl &https://www.bco-dmo.org/dataset/817214 institution BCO-DMO instruments_0_acronym Turner Fluorometer 10-AU ,instruments_0_dataset_instrument_description TChlorophyll concentrations were determined using a Turner Designs 10-AU fluorometer. $instruments_0_dataset_instrument_nid 817791 instruments_0_description pThe Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer. (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA) ,instruments_0_instrument_external_identifier 9https://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/ instruments_0_instrument_name Turner Designs Fluorometer 10-AU instruments_0_instrument_nid 464 instruments_1_acronym SBE 48 ,instruments_1_dataset_instrument_description bSurface water temperature was measured outside the ship by a hull-mounted (3 m) sensor (SBE 48). $instruments_1_dataset_instrument_nid 817788 instruments_1_description =The SBE 48 is a high-accuracy temperature recorder with non-volatile memory, designed for shipboard determination of sea surface temperature. Installed with magnets just below the water line, the SBE 48's temperature sensor is in contact with the inside of the ship's hull. For more information, see the SBE48 Manual. ,instruments_1_instrument_external_identifier 4https://vocab.nerc.ac.uk/collection/L05/current/134/ instruments_1_instrument_name 'Sea-Bird SBE 48 Hull Temperature Sensor instruments_1_instrument_nid 648 instruments_2_acronym SBE 38 ,instruments_2_dataset_instrument_description `Surface water temperature was measured inside the ship by a flow-through system sensor (SBE 38). $instruments_2_dataset_instrument_nid 817789 instruments_2_description Sea-Bird SBE 38 Remote Digital Immersion Thermometer is a seawater temperature sensor in a 10,500 meter (34,400 ft) titanium pressure housing. Real-time temperature data is transmitted in ASCII characters (degrees C or raw counts) via an RS-232 or optional RS-485 serial interface for display or logging by PC or data logger. The SBE 38's measurement range is -5 to +35 C; absolute accuracy is better than 0.001 C (1 mK) and resolution is approximately 0.00025 C (0.25 mK). ,instruments_2_instrument_external_identifier 9https://vocab.nerc.ac.uk/collection/L22/current/TOOL0191/ instruments_2_instrument_name 4Sea-Bird SBE 38 Remote Digital Immersion Thermometer instruments_2_instrument_nid 673 instruments_3_acronym SBE 45 MicroTSG ,instruments_3_dataset_instrument_description sSalinity was measured by a SBE 45 thermosalinograph installed inside the ship in line with the flow-through system. $instruments_3_dataset_instrument_nid 817790 instruments_3_description kA small externally powered, high-accuracy instrument, designed for shipboard determination of sea surface (pumped-water) conductivity and temperature. It is constructed of plastic and titanium to ensure long life with minimum maintenance. It may optionally be interfaced to an external SBE 38 hull temperature sensor. Sea Bird SBE 45 MicroTSG (Thermosalinograph) ,instruments_3_instrument_external_identifier 9https://vocab.nerc.ac.uk/collection/L22/current/TOOL0190/ instruments_3_instrument_name *Sea-Bird SBE 45 MicroTSG Thermosalinograph instruments_3_instrument_nid 528063 keywords bco, bco-dmo, biological, chemical, chemistry, chlorophyll, concentration, concentration_of_chlorophyll_in_sea_water, cruise, Cruise_ID, data, dataset, date, density, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Salinity/Density > Salinity, erddap, iso, ISO_DateTime_UTC, latitude, longitude, management, ocean, oceanography, oceans, office, practical, preliminary, pst, salinity, science, sea, sea_water_practical_salinity, seawater, temperature, time, water keywords_vocabulary GCMD Science Keywords license .https://www.bco-dmo.org/dataset/817214/license metadata_source *https://www.bco-dmo.org/api/dataset/817214 Northernmost_Northing @Fx param_mapping o{'817214': {'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}} parameter_source ;https://www.bco-dmo.org/mapserver/dataset/817214/parameters people_0_affiliation Oregon State University people_0_affiliation_acronym OSU-CEOAS people_0_person_name Miguel A. Goni people_0_person_nid 772632 people_0_role Principal Investigator people_0_role_type originator people_1_affiliation University of Hawaii at Manoa people_1_affiliation_acronym SOEST people_1_person_name Angelicque E. White people_1_person_nid 51091 people_1_role Co-Principal Investigator people_1_role_type originator people_2_affiliation Oregon State University people_2_affiliation_acronym OSU-CEOAS people_2_person_name Emmanuel Alegria people_2_person_nid 819312 people_2_role Scientist people_2_role_type originator people_3_affiliation Oregon State University people_3_affiliation_acronym OSU-CEOAS people_3_person_name Elizabeth R. Corvi people_3_person_nid 819310 people_3_role Scientist people_3_role_type originator people_4_affiliation Oregon State University people_4_affiliation_acronym OSU-CEOAS people_4_person_name Katie Watkins-Brandt people_4_person_nid 556130 people_4_role Scientist people_4_role_type originator people_5_affiliation Oregon State University people_5_affiliation_acronym OSU-CEOAS people_5_person_name Kylie A. Welch people_5_person_nid 819311 people_5_role Scientist people_5_role_type originator people_6_affiliation Oregon State University people_6_affiliation_acronym OSU-CEOAS people_6_person_name Miguel A. Goni people_6_person_nid 772632 people_6_role Contact people_6_role_type related people_7_affiliation $Woods Hole Oceanographic Institution people_7_affiliation_acronym WHOI BCO-DMO people_7_person_name Karen Soenen people_7_person_nid 748773 people_7_role BCO-DMO Data Manager people_7_role_type related project CCAW projects_0_acronym CCAW projects_0_description CNSF Award Abstract: As is true for many coastal regions worldwide, the Pacific Northwest margin is characterized by intense seasonal contrasts in conditions controlling carbon flux between the atmosphere, land, and ocean. During the wintertime, rapid and intense flooding of small coastal rivers and the associated inputs of freshwater, nutrients, and organic matter are commonplace in the Pacific Northwest. Impacts of these wintertime terrestrial-ocean transfers by small, flood-prone rivers on the upwelling regions, such as the Pacific Northwest, have been underestimated at both global and regional scales. In order to gain a complete and predictive understanding of carbon cycling in ocean margins, the biogeochemistry of periods of intense terrestrial-ocean transfers needs to be comprehensively studied. This project will evaluate the dynamics of organic matter cycling along an upwelling-dominated margin during the wintertime period of active terrestrial inputs and biological cycling using a combination of shipboard, glider, moored and remote measurements. New developments in ocean observational technologies through the Ocean Observatories Initiative (OOI)* and existing scientific infrastructure along the Oregon coast will be instrumental in achieving this goal. This work will provide research opportunities for undergraduate and graduate students, and outreach will be conducted through the Centers for Ocean Science Education Excellence Pacific Partnership, local coastal community colleges, and interpretative centers such as Oregon State University Hatfield Center, the Umpqua Discovery Center, and Oregon Coast Aquarium in an effort to educate students and the public about the research. Globally, most studies of carbon cycling in eastern boundary regimes have focused on the upwelling phase during the summer months, resulting in a much poorer understanding of non-upwelling periods. As is many coastal upwelling systems, wintertime conditions along the Pacific Northwest margin are characterized by southerly, downwelling-favorable winds and moisture-laden storms that result in seasonal flooding by the numerous small to medium-sized rivers in the region. Elevated discharges by these coastal rivers translate into large inputs of land-derived biogeochemical relevant constituents, including freshwater, dissolved inorganic nutrients, and dissolved and particulate organic matter, which collectively rival or exceed those of the Columbia River. To understand the impact of flood-derived terrestrial inputs on the biogeochemistry of the coastal zone along the Pacific Northwest margin, researchers will conduct a detailed investigation of biogeochemical processes in the water column along the Newport Hydrographic Line off the central Oregon coast during fall/winter conditions. The project includes an intensive field effort that takes advantage of ship-based and autonomous platforms to gain comprehensive wintertime coverage. Among the project outcomes, this effort will lead to a revised paradigm of the biogeochemical drivers of carbon cycling in coastal margins. *The Ocean Observatories Initiative (OOI) is an NSF-funded, networked infrastructure of science-driven sensor systems to measure the physical, chemical, geological and biological variables in the ocean and seafloor. For more information about OOI, please visit the website: www.oceanobservatories.org projects_0_end_date 2019-02 projects_0_geolocation !Oregon Coast (47-43 N, 126-124 W) projects_0_name 9Coastal Ocean Carbon Cycling during Wintertime Conditions projects_0_project_nid 772630 projects_0_start_date 2015-03 publisher_name FBiological and Chemical Oceanographic Data Management Office (BCO-DMO) publisher_type institution sourceUrl (local files) Southernmost_Northing @E䎊r standard_name_vocabulary CF Standard Name Table v55 summary Particulate chlorophyll data set and added temperature and salinity from samples collected using ship\u2019s surface underway system taken on board of the R/V Oceanus OC1701A, OC1611B, OC1603B, OC1602A, OC1601A in the Oregon Coast (47-43 N, 126-124 W) from 2016 to 2017. time_coverage_end 2017-01-16T05:07Z time_coverage_start 2016-01-23T14:21Z title Particulate chlorophyll data set from samples collected using ship\u2019s surface underway system taken on board of the R/V Oceanus OC1701A, OC1611B, OC1603B, OC1602A, OC1601A in the Oregon Coast (47-43 N, 126-124 W) from 2016 to 2017 version 1 Westernmost_Easting _@tj xml_source osprey2erddap.update_xml() v1.5 Cruise_ID _Encoding ISO-8859-1 bcodmo_name cruise_id description Cruise designation long_name Cruise ID units unitless N latitude _CoordinateAxisType Lat _FillValue actual_range @E䎊r@Fx axis Y bcodmo_name latitude colorBarMaximum @V colorBarMinimum V description kLatitude measured by ship’s navigation system for sample/data collection, southern hemisphere is negative ioos_category Location long_name Latitude nerc_identifier 5https://vocab.nerc.ac.uk/collection/P09/current/LATX/ standard_name latitude units degrees_north ` Th longitude _CoordinateAxisType Lon _FillValue actual_range _@tj^ axis X bcodmo_name longitude colorBarMaximum @f colorBarMinimum f description nLongitude as measured by ship’s navigation system for sample/data collection, western hemisphere is negative ioos_category Location long_name Longitude nerc_identifier 5https://vocab.nerc.ac.uk/collection/P09/current/LONX/ standard_name longitude units degrees_east ` Z Date_Time_PST _Encoding ISO-8859-1 bcodmo_name date_local description CDate and time of sample and data collection (pacific standard time) long_name Date Time PST source_name Date_Time_PST time_precision 1970-01-01T00:00Z units unitless a( Temperature _FillValue actual_range A33AS\) bcodmo_name temperature description pTemperature in degrees Celsius measured at seachest in ship’s underway system at the time of sample collection long_name Temperature units degrees Celsius (°C) 0 m Salinity _FillValue actual_range AffB bcodmo_name sal colorBarMaximum @B colorBarMinimum @@ description _Salinity measured by TSG lab unit in ship’s underway system at the time of sample collection long_name Sea Water Practical Salinity nerc_identifier 9https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/ units unitless 0 q Chlorophyll _FillValue actual_range =8QAM bcodmo_name chl_tot colorBarMaximum @> colorBarMinimum ?Q colorBarScale Log description Total chlorophyll concentrations measured in filtered samples collected from ship’s undereway system using a semi-automated filtration system. long_name )Concentration Of Chlorophyll In Sea Water units 1miligrams of Chl per cubic meter of water (mg/m3) 0 tH time _CoordinateAxisType Time actual_range Aը A= axis T bcodmo_name ISO_DateTime_UTC description [Date and time of sample and data collection in UTC, standard ISO format (yyyy-mm-ddThh:mmZ) ioos_category Time long_name ISO Date Time UTC nerc_identifier 9https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/ standard_name time time_origin 01-JAN-1970 00:00:00 time_precision 1970-01-01T00:00Z units "seconds since 1970-01-01T00:00:00Z ` wxOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1701AOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1611BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1603BOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1602AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601AOC1601A@E-m@E@EM_.c@ERC@E9 @F|@F7 G@FS-X=X@FS2rW@FS0nA@FS-je@FS.@FSKa?@FS.fA@F@@F/B/@F4j:)@F9")@FA+O @FQp@FX͔H@FR~AQ@ElR@E-m@E-m@E-m@E@E@FS-X=X@FS-X=X@FS2rW@FS2rW@FS2rW@FS2rW@FS-je@FS.@FS.@FS.@FSKa?@FSKa?@FSKa?@FSKa?@FS.fA@FS.fA@FS.fA@F@@Ev?\@ELۥؗ@E@FS"`B@FS/V@FSg l@FSMjO@FS"`B@FSP{@FTtSM@FR~@FQe@FTxF@FS @FSS@FSdZ@FSs@FS33333@FT/{J#@FSMjO@FSP{@FS@FRW@FSZ@FS,zxl@E =q@EO;d@Fo@FRsP@FS6z@FS|@F~$t@Fw1@FS6z@FSC%@Eߝ-V@E @E;dZ@FK҈@FS9@FS9@F=b@FS9@E#@E@F'䎊r@Fp:~@FS6z@FSS&@FS6z@FSC%@FS&@FR`A@E*0U@E @E[6@EfA@E ԕ+@E@E+j@F?@F@@FM+a@FS=K^@FSJ#9@FS/V@FS'/@FSA@FXD*@F3@F?@Fwb}V@F-sI!@F ; @EQ@FS(E@EK@E@FR@FS{@FSn8@FR @F>xl@F#!>l@FLl@E@E&* @EZc@EN@FSIb@E)Ȑ@E)P @FS:A:e@FR[Os@FSMnr@FS;L1[@FS1o#Nd@F$C@E;,{@E©rՋ@FS1̫@FS(Fp'@FS