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Row Type | Variable Name | Attribute Name | Data Type | Value |
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attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv |
attribute | NC_GLOBAL | acquisition_description | String | Particle flux measurements and images of settled particles were obtained from\nneutrally-buoyant sediment trap (NBST) deployments during a series of five\nshort cruises in conjunction with the Bermuda Atlantic Time-series Study\n(BATS) in the Sargasso Sea from July 2013 to March 2014. The NBST platforms\nwere constructed around Sounding Oceanographic Lagrangian Observer (SOLO)\nprofiling floats and carried four sediment trap tubes with areas of 0.0113 m2\n(see\\u00a0[https://www.bco-dmo.org/instrument/632](\\\\\"http://www.bco-\ndmo.org/instrument/632\\\\\")). NBSTs were programmed to descend to a single\nmeasurement depth (150, 200, 300 or 500 m),\\u00a0sample\\u00a0for a 2\\u20133 d\nperiod, and then ascend to the surface for recovery. Details are described\nfully in Durkin et al. (2015) and Estapa et al. (2017).\n \nOne tube on each NBST was loaded with a polyacrylamide gel insert to preserve\nsizes and shapes of settling particles for imaging. Polyacrylamide gel layers\nwere prepared in 11-cm diameter polycarbonate jars using methods described in\nprevious studies (Ebersbach and Trull, 2008; Lundsgaard, 1995; McDonnell and\nBuesseler, 2010) with slight modifications. To prepare 12% polyacrylamide gel,\n7.5 g of sea salts was dissolved\\u00a0into\\u00a0400 mL of surface seawater\nfrom Vineyard Sound, MA, USA and filtered through a 0.2-\\u03bcm polycarbonate\nfilter. The filtered brine was boiled for 15 min to reduce the oxygen content\nand reduce the brine volume to 350 mL. The solution was bubbled with nitrogen\ngas through glass pipet tips attached to a pressurized tank while the solution\ncooled to room temperature. The container of brine was then placed in an ice\nbath on a stir plate and 150 mL of 40% acrylamide solution and 1 g of ammonium\npersulfate was added to the solution while stirring. After the ammonium\npersulfate dissolved, 1 mL of tetramethylethylenediamine was added to catalyze\npolymerization. Gels were stored at 4\\u00b0C until use. Prior to deployment, a\njar containing a layer of polyacrylamide gel was fitted to the bottom of the\ntrap tube and the tube was filled with filtered seawater. Upon recovery and a\nsettling period of >1 h, the overlying seawater was pumped down to the top of\nthe gel jar and the gel insert was removed and stored at 4\\u00b0C until\nanalysis. One additional gel trap tube was identically prepared\nand\\u00a0processed,\\u00a0but was kept covered in the ship's lab during the\ndeployment period to serve as a process blank.\n \nA series of photomicrographs\\u00a0was\\u00a0taken of each gel trap at 7\\u00d7,\n16\\u00d7, and 63\\u00d7 magnifications using an Olympus SZX12 stereomicroscope\nwith an Olympus Qcolor 5 camera attachment and QCapture imaging software. At a\nmagnification of 7\\u00d7, 49\\u201367% of the gel surface area was imaged in\n16\\u201322 fields of view (0.1 pixels per \\u03bcm) in a single focal plane. At\n16\\u00d7, 17\\u201338% of the gel surface area was imaged in randomly\ndistributed fields of view (0.236 pixels per \\u03bcm) across the entire gel\nsurface. At this magnification, a single focal plane could not capture every\nparticle within one field of view; large particles typically accumulated\ntoward the bottom of the gel layer and relatively small particles were\ndistributed in more focal planes throughout the gel layer. To reduce the\nunderestimation of small particle abundance, two images were taken from\ndifferent focal planes in each field of view (27\\u201360 fields, 54\\u2013120\nimages). At 63\\u00d7, 0.5\\u20130.8% of the total gel surface area was imaged\n(12\\u201320 fields of view). Images were taken in cross-sections spanning the\ndiameter of the gel. The purpose of imaging a small percentage of the gel at\nhigh magnification was to accurately quantify the abundance of small\nparticles. Between 11 and 15 focal planes were imaged in each field of view\n(0.746 pixels per \\u03bcm), depending on the depth of the gel and how many\ndistinct focal planes contained particles. Imaging the same particle twice\nwithin one field of view was avoided by ensuring that focal planes did not\ninclude overlapping particles. Between 132 and 220 images were captured of\neach gel at 63\\u00d7 magnification. By imaging at three magnifications,\nbetween 240 and 360 images were captured of each gel. Image files are named as\n\\u2018month_trapdepth_magnification_fieldofview_focalplane.tiff\\u2019,\nwith\\u00a0field\\u00a0of view represented as sequential integers and focal\nplane represented as sequential letters. Recognizable zooplankton, presumed to\nhave actively entered the gel traps, were also counted manually in 40 fields\nof view per gel at 32\\u00d7 magnification.\n \nFlux measurements and images are not available at 200 m for the July 5, 2013\ndeployment due to failure of the lid closure mechanisms on all tubes. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 644826 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1406552 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1406552 |
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 | Henrietta N Edmonds |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 51517 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Sediment Trap - Gel Images \n M. Estapa and K. Buesseler, PIs \n Version 26 February 2018 |
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 | 2018-02-26T20:25:17Z |
attribute | NC_GLOBAL | date_modified | String | 2018-11-15T18:51:47Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.734359 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/728395 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | NBST |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Used to measure particles |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 733293 |
attribute | NC_GLOBAL | instruments_0_description | String | In general, sediment traps are specially designed containers deployed in the water column for periods of time to collect particles from the water column falling toward the sea floor. The Neutrally Buoyant Sediment Trap (NBST) was designed by researchers at Woods Hole Oceanographic Institution. The central cylinder of the NBST controls buoyancy and houses a satellite transmitter. The other tubes collect sediment as the trap drifts in currents at a predetermined depth. The samples are collected when the tubes snap shut before the trap returns to the surface. (more: https://www.whoi.edu/instruments/viewInstrument.do?id=10286) |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/33/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Neutrally Buoyant Sediment Trap |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 632 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | NBST |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | Used to take photomicrographs |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 729425 |
attribute | NC_GLOBAL | instruments_1_description | String | Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a \"light microscope\". |
attribute | NC_GLOBAL | instruments_1_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB05/ |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Microscope-Optical |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 708 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | Olympus SZX12 stereomicroscope with an Olympus Qcolor 5 camera attachment |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, chemical, data, dataset, dmo, download, erddap, image, Image_zip_download_link, link, management, month, oceanography, office, preliminary, size, year, zip, Zip_size |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/728395/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/728395 |
attribute | NC_GLOBAL | param_mapping | String | {'728395': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/728395/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Skidmore College |
attribute | NC_GLOBAL | people_0_person_name | String | Margaret L. Estapa |
attribute | NC_GLOBAL | people_0_person_nid | String | 644830 |
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 | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | WHOI |
attribute | NC_GLOBAL | people_1_person_name | String | Kenneth O. Buesseler |
attribute | NC_GLOBAL | people_1_person_nid | String | 50522 |
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 | Skidmore College |
attribute | NC_GLOBAL | people_2_person_name | String | Margaret L. Estapa |
attribute | NC_GLOBAL | people_2_person_nid | String | 644830 |
attribute | NC_GLOBAL | people_2_role | String | Contact |
attribute | NC_GLOBAL | people_2_role_type | String | related |
attribute | NC_GLOBAL | people_3_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_3_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_3_person_name | String | Hannah Ake |
attribute | NC_GLOBAL | people_3_person_nid | String | 650173 |
attribute | NC_GLOBAL | people_3_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_3_role_type | String | related |
attribute | NC_GLOBAL | project | String | RapAutParticleFlux |
attribute | NC_GLOBAL | projects_0_acronym | String | RapAutParticleFlux |
attribute | NC_GLOBAL | projects_0_description | String | Particles settling into the deep ocean remove carbon and biologically-important trace elements from sunlit, productive surface waters and from contact with the atmosphere over short timescales. A shifting balance among physical, chemical, and biological processes determines the ultimate fate of most particles at depths between 100 and 1,000 m, where fluxes are hardest to measure. Our challenge is to expand the number of particle flux observations in the critical \"twilight zone\", something that has proven elusive with ship-based “snapshots” that have lengths of, at most, a few weeks. Here, we propose an optical, transmissometer-based method to make particle flux observations from autonomous, biogeochemical profiling floats. Novel developments in data interpretation, sensor operation, and platform control now allow flux measurements at hourly resolution and give us observational access to the water-column processes driving particle flux over short timescales. The sensors and float platforms that we propose to use are simple, robust, and commercially-available, making them immediately compatible with community-scale efforts to implement other float-based biogeochemical measurements.\nWe have two main goals: First, we will quantify particulate organic carbon (POC) flux using float-based optical measurements by validating our observations against fluxes measured directly with neutrally-buoyant, drifting sediment traps. Second, we will evaluate the contribution of rapid export events to total POC fluxes in the oligotrophic ocean by using a biogeochemical profiling float to collect nearly-continuous, depth-resolved flux measurements and coupled, water-column bio-optical profiles. \nTo achieve these goals, we will implement a work plan consisting of 1) a set of laboratory-based sensor calibration experiments to determine detection limits and evaluate sensitivity to particle size; 2) a series of four sediment trap and biogeochemical float co-deployments during which we will collect POC flux and field calibration data; and 3) a long-term sampling and analysis period (approximately 1 year) during which data will be returned by satellite from the biogeochemical float. We will conduct calibration fieldwork in conjunction with monthly Bermuda Atlantic Time-series Study (BATS) cruises, taking advantage of the timeseries measurements and the context provided by the 25-year record of POC flux at that site. The data returned by the float will comprise the first quantitative particle flux observations made at high-enough temporal resolution to interpret in the context of short-term, upper-ocean production events. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2014-11 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Sargasso Sea |
attribute | NC_GLOBAL | projects_0_name | String | Rapid, Autonomous Particle Flux Observations in the Oligotrophic Ocean |
attribute | NC_GLOBAL | projects_0_project_nid | String | 644827 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2013-07 |
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 | summary | String | Sinking particle sizes span many orders of magnitude and the relative influence of small particles on carbon export compared to large particles has not been resolved. To determine the influence of particle size on carbon export, the flux of both small (11\\u201364 \\u03bcm) and large (>64 \\u03bcm) particles in the upper mesopelagic was examined during five cruises of the Bermuda Atlantic Time Series (BATS) in the Sargasso Sea using neutrally buoyant sediment traps mounted with tubes containing polyacrylamide gel layers to preserve sizes and shapes of sinking particles. Microphotographic images of gels were collected and used to determine particle size distributions. |
attribute | NC_GLOBAL | title | String | [Sediment trap gel images] - Sediment trap gel images of settled particles that were collected from the Sargasso Sea between 2013 and 2014. (Rapid, Autonomous Particle Flux Observations in the Oligotrophic Ocean) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | Year | short | ||
attribute | Year | _FillValue | short | 32767 |
attribute | Year | actual_range | short | 2013, 2014 |
attribute | Year | bcodmo_name | String | year |
attribute | Year | description | String | Year images were collected; yyyy |
attribute | Year | long_name | String | Year |
attribute | Year | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/ |
attribute | Year | units | String | unitless |
variable | Month | String | ||
attribute | Month | bcodmo_name | String | month |
attribute | Month | description | String | Month images were collected |
attribute | Month | long_name | String | Month |
attribute | Month | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/ |
attribute | Month | units | String | unitless |
variable | Image_zip_download_link | String | ||
attribute | Image_zip_download_link | bcodmo_name | String | file_link |
attribute | Image_zip_download_link | description | String | Download link to the zip file of images from the respective year and month |
attribute | Image_zip_download_link | long_name | String | Image Zip Download Link |
attribute | Image_zip_download_link | units | String | unitless |
variable | Zip_size | String | ||
attribute | Zip_size | bcodmo_name | String | file_size |
attribute | Zip_size | description | String | Zip file size |
attribute | Zip_size | long_name | String | Zip Size |
attribute | Zip_size | units | String | unitless |