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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 | We measured larval abundance, chlorophyll-a, temperature, and salinity from\nfour depths at one location in Fidalgo Bay, WA, by boat each day from July 11\nto July 14, 2017. Each day, we completed eleven sampling events. During each\nsampling event, we collected samples from four depths in the water column:\nsurface (0.5 m below surface), bottom (0.5 m above seafloor), and two mid-\ndepth samples, which evenly split the depth between surface and bottom\nsamples. We planned each sampling event to begin at specific times relative to\nthe predicted low tide with the goal of collecting approximately equal numbers\nof samples during ebb and flood tide. To collect each larval sample, we used a\nmodified bilge pump to filter 100 liters of water from our targeted depths\nthrough a 102-\\u00b5m mesh plankton net to ensure retention of Olympia oyster\nlarvae. Each sample was stored on ice while in the field and then preserved in\n70% ethanol.\n \nWe used an Olympus Optical Company SZ-ST stereoscope fit with polarized lens\nfilters to hand sort Olympia oyster larvae from each sample. First, we\nnarrowed down all the potential local species of bivalve larvae that might be\nin our samples based on reproductive season (Loosanoff et al. 1966, personal\ncommunication Julie Barber). We then distinguished Olympia oyster larvae from\nthese other species by comparing morphological features relative to size based\non identification keys (Loosanoff et al. 1966, Shanks 2001) and reference\nOlympia oyster larvae that we reared in the laboratory. Reference larvae were\nfixed and photographed under an Olympus CH-2 microscope to aid\nidentification.We measured larva shell lengths perpendicular to the hinge of\neach larva digitally using a stereomicroscope equipped with a camera and\nImageJ software (Leica MC170 HD and Leica Application Suite, Leica, Wetzlar,\nGermany). |
attribute | NC_GLOBAL | awards_0_award_nid | String | 684166 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1538626 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1538626 |
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 | Michael E. Sieracki |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50446 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | oyster larvae length measurements \n Fidalgo Bay, WA, during July 2017 \n S. Arellano, B. Olson, S. Yang (WWU) \n version: 2019-01-14 |
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 | 2019-01-17T14:46:28Z |
attribute | NC_GLOBAL | date_modified | String | 2019-09-25T20:04:23Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.753098.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/753098 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | camera |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 753109 |
attribute | NC_GLOBAL | instruments_0_description | String | All types of photographic equipment including stills, video, film and digital systems. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/311/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Camera |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 520 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Leica MC170 HD camera |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 753108 |
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 | an Olympus Optical Company SZ-ST stereoscopeand a Leica stereomicroscope |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, chemical, data, dataset, date, date_local, depth, depth_des, depth_sample_m, depth_seafloor_m, dmo, erddap, larvae, larvae_length_um, length, local, management, oceanography, office, preliminary, profile, sample, tide, time, time_local |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/753098/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/753098 |
attribute | NC_GLOBAL | param_mapping | String | {'753098': {'date_time_UTC': 'master - time', 'depth_des': 'master - depth'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/753098/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Western Washington University |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | WWU |
attribute | NC_GLOBAL | people_0_person_name | String | Shawn M Arellano |
attribute | NC_GLOBAL | people_0_person_nid | String | 684169 |
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 | Western Washington University |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | WWU |
attribute | NC_GLOBAL | people_1_person_name | String | Dr Brady M. Olson |
attribute | NC_GLOBAL | people_1_person_nid | String | 51528 |
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 | Western Washington University |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | WWU |
attribute | NC_GLOBAL | people_2_person_name | String | Dr Sylvia Yang |
attribute | NC_GLOBAL | people_2_person_nid | String | 684172 |
attribute | NC_GLOBAL | people_2_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_2_role_type | String | originator |
attribute | NC_GLOBAL | people_3_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_3_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_3_person_name | String | Nancy Copley |
attribute | NC_GLOBAL | people_3_person_nid | String | 50396 |
attribute | NC_GLOBAL | people_3_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_3_role_type | String | related |
attribute | NC_GLOBAL | project | String | Climate stressors on larvae |
attribute | NC_GLOBAL | projects_0_acronym | String | Climate stressors on larvae |
attribute | NC_GLOBAL | projects_0_description | String | In the face of climate change, future distribution of animals will depend not only on whether they adjust to new conditions in their current habitat, but also on whether a species can spread to suitable locations in a changing habitat landscape. In the ocean, where most species have tiny drifting larval stages, dispersal between habitats is impacted by more than just ocean currents alone; the swimming behavior of larvae, the flow environment the larvae encounter, and the length of time the larvae spend in the water column all interact to impact the distance and direction of larval dispersal. The effects of climate change, especially ocean acidification, are already evident in shellfish species along the Pacific coast, where hatchery managers have noticed shellfish cultures with 'lazy larvae syndrome.' Under conditions of increased acidification, these 'lazy larvae' simply stop swimming; yet, larval swimming behavior is rarely incorporated into studies of ocean acidification. Furthermore, how ocean warming interacts with the effects of acidification on larvae and their swimming behaviors remains unexplored; indeed, warming could reverse 'lazy larvae syndrome.' This project uses a combination of manipulative laboratory experiments, computer modeling, and a real case study to examine whether the impacts of ocean warming and acidification on individual larvae may affect the distribution and restoration of populations of native oysters in the Salish Sea. The project will tightly couple research with undergraduate education at Western Washington University, a primarily undergraduate university, by employing student researchers, incorporating materials into undergraduate courses, and pairing marine science student interns with art student interns to develop art projects aimed at communicating the effects of climate change to public audiences\nAs studies of the effects of climate stress in the marine environment progress, impacts on individual-level performance must be placed in a larger ecological context. While future climate-induced circulation changes certainly will affect larval dispersal, the effects of climate-change stressors on individual larval traits alone may have equally important impacts, significantly altering larval transport and, ultimately, species distribution. This study will experimentally examine the relationship between combined climate stressors (warming and acidification) on planktonic larval duration, morphology, and swimming behavior; create models to generate testable hypotheses about the effects of these factors on larval dispersal that can be applied across systems; and, finally, use a bio-physically coupled larval transport model to examine whether climate-impacted larvae may affect the distribution and restoration of populations of native oysters in the Salish Sea. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2018-08 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Coastal Pacific, USA |
attribute | NC_GLOBAL | projects_0_name | String | RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal |
attribute | NC_GLOBAL | projects_0_project_nid | String | 684167 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2015-09 |
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 | This dataset includes Olympia oyster larvae length measurements from depth-specific sampling collected by boat in Fidalgo Bay, WA, during July 2017. |
attribute | NC_GLOBAL | time_coverage_end | String | 2017-07-15T00:21:00Z |
attribute | NC_GLOBAL | time_coverage_start | String | 2017-07-11T16:41:00Z |
attribute | NC_GLOBAL | title | String | [Oyster_Larvae_Length_FidalgoBay_2017] - Olympia oyster larvae length measurements from depth-specific sampling collected by boat in Fidalgo Bay, WA, during July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | time | double | ||
attribute | time | _CoordinateAxisType | String | Time |
attribute | time | actual_range | double | 1.49979126E9, 1.50007806E9 |
attribute | time | axis | String | T |
attribute | time | bcodmo_name | String | ISO_DateTime_UTC |
attribute | time | description | String | Date/Time (UTC) ISO formatted based on ISO 8601:2004(E) with format YYYY-mm-ddTHH:MM:SS[.xx]Z (year;month;day;hour;minute;second) |
attribute | time | ioos_category | String | Time |
attribute | time | long_name | String | Date Time UTC |
attribute | time | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/ |
attribute | time | source_name | String | date_time_UTC |
attribute | time | standard_name | String | time |
attribute | time | time_origin | String | 01-JAN-1970 00:00:00 |
attribute | time | time_precision | String | 1970-01-01T00:00:00Z |
attribute | time | units | String | seconds since 1970-01-01T00:00:00Z |
variable | date_local | String | ||
attribute | date_local | bcodmo_name | String | date_local |
attribute | date_local | description | String | Local date in US Pacific time; formatted as yyyy-mm-dd |
attribute | date_local | long_name | String | Date Local |
attribute | date_local | time_precision | String | 1970-01-01 |
attribute | date_local | units | String | unitless |
variable | time_local | String | ||
attribute | time_local | bcodmo_name | String | time_local |
attribute | time_local | description | String | Time in 24-hour US Pacific time; HH:MM |
attribute | time_local | long_name | String | Time Local |
attribute | time_local | units | String | unitless |
variable | profile | byte | ||
attribute | profile | _FillValue | byte | 127 |
attribute | profile | actual_range | byte | 1, 44 |
attribute | profile | bcodmo_name | String | sample |
attribute | profile | description | String | Each unique profile # represents four depth-specific samples: bottom; midlower; midupper; surface |
attribute | profile | long_name | String | Profile |
attribute | profile | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | profile | units | String | unitless |
variable | sample | byte | ||
attribute | sample | _FillValue | byte | 127 |
attribute | sample | actual_range | byte | 1, 52 |
attribute | sample | bcodmo_name | String | sample |
attribute | sample | description | String | Water column collection sample identifier |
attribute | sample | long_name | String | Sample |
attribute | sample | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | sample | units | String | unitless |
variable | tide | String | ||
attribute | tide | bcodmo_name | String | tide |
attribute | tide | description | String | Tidal direction based on NOAA tidal predictions: ebb; flood; and low |
attribute | tide | long_name | String | Tide |
attribute | tide | units | String | unitless |
variable | depth_seafloor_m | float | ||
attribute | depth_seafloor_m | _FillValue | float | NaN |
attribute | depth_seafloor_m | actual_range | float | 2.0, 4.5 |
attribute | depth_seafloor_m | bcodmo_name | String | depth_w |
attribute | depth_seafloor_m | colorBarMaximum | double | 8000.0 |
attribute | depth_seafloor_m | colorBarMinimum | double | -8000.0 |
attribute | depth_seafloor_m | colorBarPalette | String | TopographyDepth |
attribute | depth_seafloor_m | description | String | Depth from seasurface to seafloor at the time of sampling measured in meters |
attribute | depth_seafloor_m | long_name | String | Depth |
attribute | depth_seafloor_m | standard_name | String | depth |
attribute | depth_seafloor_m | units | String | meters |
variable | depth_sample_m | float | ||
attribute | depth_sample_m | _FillValue | float | NaN |
attribute | depth_sample_m | actual_range | float | 0.5, 4.0 |
attribute | depth_sample_m | bcodmo_name | String | depth |
attribute | depth_sample_m | colorBarMaximum | double | 8000.0 |
attribute | depth_sample_m | colorBarMinimum | double | -8000.0 |
attribute | depth_sample_m | colorBarPalette | String | TopographyDepth |
attribute | depth_sample_m | description | String | Depth of the collected sample in meters below the seasurface |
attribute | depth_sample_m | long_name | String | Depth |
attribute | depth_sample_m | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ |
attribute | depth_sample_m | standard_name | String | depth |
attribute | depth_sample_m | units | String | meters |
variable | depth_des | double | ||
attribute | depth_des | _FillValue | double | NaN |
attribute | depth_des | bcodmo_name | String | depth |
attribute | depth_des | description | String | Depth category of sample collection: surface = 0.5 m below sea surface; bottom = 0.5 m above seafloor; two mid-depth samples labeled midlower and midupper which evenly split the depth between surface and bottom samples. |
attribute | depth_des | long_name | String | Depth |
attribute | depth_des | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ |
attribute | depth_des | standard_name | String | depth |
attribute | depth_des | units | String | unitless |
variable | larvae_length_um | float | ||
attribute | larvae_length_um | _FillValue | float | NaN |
attribute | larvae_length_um | actual_range | float | 180.0, 304.157 |
attribute | larvae_length_um | bcodmo_name | String | length |
attribute | larvae_length_um | description | String | Length of Olympia oyster larva measured perpendicular to the hinge |
attribute | larvae_length_um | long_name | String | Larvae Length Um |
attribute | larvae_length_um | units | String | micrometers (um ) |