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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 | Collection & Larval Rearing\n \n\\u00a0We collected adult Olympia oysters (Ostrea lurida) from Fidalgo Bay in\nJune 2017 and maintained them in a sea table with continuous flowing seawater\nheated to 19-20\\u00b0C at the Shannon Point Marine Center. We fed adult\noysters were fed concentrated algae once a day (Shellfish Diet, Reed\nMariculture) and utilized banjo-style filters (60-m) attached to the outflow\npipes of the sea table to catch released O. lurida larvae. We then collected\nand reared larvae at 12\\u00b0C in 3-L jars (2 individuals mL-1). Each jar of\nlarvae received a 50% water change with 0.35-m filtered sea water and were fed\nIsochrysis galbana algae (50,000 cells mL-1) daily.\n \n\\u00a0Experimental Design\n \n\\u00a0To measure the effect of pH conditions on the vertical distribution of\nlarvae we established three experimental pycnocline treatments within clear\nplexiglass water columns (2.5cm x 2.5cm x 30cm): (1) ambient water (400ppm) in\nthe top layer and acidic water in the bottom layer (1500ppm), (2) ambient\nwater (400ppm) in both top and bottom layers, and (3) acidic water (1500ppm)\nin the top layer and ambient water (400ppm) in the bottom layer. Each water\nlayer was 60-mL of water and filled the column 10-cm high, so when each\nexperimental treatment was established it filled the column to 20-cm. We\nestablished the experimental treatments by increasing the density of seawater\nin the bottom layer by 0.003-0.005 g ml-1 using PercollTM GE Healthcare\n(Podolsky & Emlet 1993). Experimental treatment water was kept at 12\\u00b0C\nand pre-equilibrated to the desired pCO2 level and density. We also included\nblue food coloring (1 drop per 100-mL) to the dense bottom layer to more\neasily visualize the density layers while establishing experimental\ntreatments. We set-up four replicate columns for each experimental treatment\nmaking twelve columns total per experiment.\n \n\\u00a0On the day of each experiment, we incubated the experimental treatment\ncolumns in clear plexiglass water baths connected to a Fisher Scientific\nIsotemp recirculating water bath to maintain treatment temperature at\n12\\u00b0C throughout the experiment. We carefully injected 150 larvae by\nsyringe into the bottom 2-cm of each column with no more than 2-mL of their\nculture water. Olympia oyster larvae are highly phototactic (personal\nobservations), so larvae were kept in the dark and we video recorded their\nvertical positions under infrared light two times: the first time at 10\nminutes of acclimation in the columns and the second time at 30 minutes of\nacclimation in the columns. To record, we used an infrared uEye camera\nequipped with Edmund Optics VIS-NIR Lens mounted on a motorized stand. We\nlater counted by eye the number of larvae per centimeter area of each column\nfrom the videos. |
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 vertical distribution \n lab expts, 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 | 2019-01-17T13:32:22Z |
attribute | NC_GLOBAL | date_modified | String | 2019-09-25T19:43:40Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.753058.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/753058 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | in-situ incubator |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Used to maintain treatment temperature during experiment |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 753069 |
attribute | NC_GLOBAL | instruments_0_description | String | A device on shipboard or in the laboratory that holds water samples under controlled conditions of temperature and possibly illumination. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/82/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | In-situ incubator |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 494 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Fisher Scientific Isotemp Circulating Water Bath |
attribute | NC_GLOBAL | instruments_1_acronym | String | camera |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | uEye camera equipped with Edmund Optics VIS-NIR Lens mounted on a motorized stand |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 753070 |
attribute | NC_GLOBAL | instruments_1_description | String | All types of photographic equipment including stills, video, film and digital systems. |
attribute | NC_GLOBAL | instruments_1_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/311/ |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Camera |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 520 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | uEye video camera |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, chemical, column, column_name, count, count_id, data, dataset, date, dmo, erddap, height, height_cm, larvae, larvae_count, management, middepth, middepth_cm, name, oceanography, office, preliminary, proportion, proportion_larvae, time, trial |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/753058/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/753058 |
attribute | NC_GLOBAL | param_mapping | String | {'753058': {'middepth_cm': 'master - depth'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/753058/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 | Oyster larvae vertical distribution data collected from a laboratory water column experiments to investigate the behavioral effects of ocean acidification on Olympia oyster larvae (Ostrea lurida), July 2017. |
attribute | NC_GLOBAL | title | String | [Ostrea_Behavior_OA_Expt2017] - Oyster larvae vertical distribution data collected from laboratory water column experiments on the behavioral effects of ocean acidification on Olympia oyster larvae (Ostrea lurida), 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 | trial | byte | ||
attribute | trial | _FillValue | byte | 127 |
attribute | trial | actual_range | byte | 1, 2 |
attribute | trial | bcodmo_name | String | exp_id |
attribute | trial | description | String | Trial number |
attribute | trial | long_name | String | Trial |
attribute | trial | units | String | unitless |
variable | date | String | ||
attribute | date | bcodmo_name | String | date_local |
attribute | date | description | String | Date of trial formatted as yyyy-mm-dd |
attribute | date | long_name | String | Date |
attribute | date | source_name | String | date |
attribute | date | time_precision | String | 1970-01-01 |
attribute | date | units | String | unitless |
variable | column_name | String | ||
attribute | column_name | bcodmo_name | String | sample |
attribute | column_name | description | String | Identifies the experimental water column treatment and replicate: AN-# = Acidic water at the top and Neutral water at the bottom ; NN-# = Neutral water at the top and Neutral water at the bottom; NA-# = Neutral water at the top and Acid water at the bottom. Acidic water was bubbled to be 400 pCO2 and neutral (ambient) water was bubbled to be 1500 pCO2 |
attribute | column_name | long_name | String | Column Name |
attribute | column_name | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | column_name | units | String | unitless |
variable | count_id | byte | ||
attribute | count_id | _FillValue | byte | 127 |
attribute | count_id | actual_range | byte | 1, 2 |
attribute | count_id | bcodmo_name | String | replicate |
attribute | count_id | colorBarMaximum | double | 100.0 |
attribute | count_id | colorBarMinimum | double | 0.0 |
attribute | count_id | description | String | Identifies the count number (1 or 2) per experimental date. The vertical positions of larvae in the columns were counted twice for each experiment; the first count at 10 minutes post-larval introduction into the column and the second count at 30 minutes post-larval introduction into the column. |
attribute | count_id | long_name | String | Count Id |
attribute | count_id | units | String | unitless |
variable | height_cm | byte | ||
attribute | height_cm | _FillValue | byte | 127 |
attribute | height_cm | actual_range | byte | 1, 20 |
attribute | height_cm | bcodmo_name | String | height |
attribute | height_cm | description | String | The height above the bottom of the water column where larvae were counted |
attribute | height_cm | long_name | String | Height Cm |
attribute | height_cm | units | String | centimeters (cm) |
variable | middepth_cm | double | ||
attribute | middepth_cm | _FillValue | double | NaN |
attribute | middepth_cm | actual_range | double | 0.5, 19.5 |
attribute | middepth_cm | bcodmo_name | String | depth |
attribute | middepth_cm | description | String | The middepth of the section of the water column in which larvae were counted |
attribute | middepth_cm | long_name | String | Middepth Cm |
attribute | middepth_cm | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ |
attribute | middepth_cm | units | String | centimeters (cm) |
variable | larvae_count | byte | ||
attribute | larvae_count | _FillValue | byte | 127 |
attribute | larvae_count | actual_range | byte | 0, 63 |
attribute | larvae_count | bcodmo_name | String | count |
attribute | larvae_count | colorBarMaximum | double | 100.0 |
attribute | larvae_count | colorBarMinimum | double | 0.0 |
attribute | larvae_count | description | String | The number of Olympia oyster larvae occupying that area of the water column during the count |
attribute | larvae_count | long_name | String | Larvae Count |
attribute | larvae_count | units | String | larvae |
variable | proportion_larvae | float | ||
attribute | proportion_larvae | _FillValue | float | NaN |
attribute | proportion_larvae | actual_range | float | 0.0, 0.738 |
attribute | proportion_larvae | bcodmo_name | String | relative_abund |
attribute | proportion_larvae | description | String | Proportion of total Olympia oyster larvae occupying that area of the water column during the count |
attribute | proportion_larvae | long_name | String | Proportion Larvae |
attribute | proportion_larvae | units | String | unitless |