BCO-DMO ERDDAP
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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 | Experimental setup\n \nH. akashiwo (CCMP 3374) was isolated from Narragansett Bay June 10, 2010 when\nin situ water temperature was 21.2\\u00b0C. After isolation the culture was\nmaintained at 15\\u00b0C. All experiments were conducted with cells that were\ngrown in autoclaved, 0.2 \\u00b5m sterile-filtered seawater (30-31 ppt) amended\nwith F/2 media without silica (Guillard 1975). All cultures were maintained\nunder a light intensity of 150 \\u00b5mol photons m-2 s-1 and a 12:12 h light:\ndark cycle. Preliminary experiments to determine the characteristics of this\nstrains\\u2019 growth patterns were used to maintain cultures in exponential\nphase by transferring cultures as needed every 4 to 10 days (depending on\ngrowth temperature), resulting in cell densities of 500-24,000 cell\nmL-1.\\u00a0 To avoid convolution of thermal response and effect of\nunconditioned media just after transfer culture transfers were restricted from\n1 day prior and 1 day post change in temperature (Grabski and Tukaj 2008 ).\n \nTemperature treatments\n \nTemperature was manipulated in the experiment through a series of sequential\ntemperature shifts. Beginning with a culture which had remained at 15 \\u00b0C\nsince collection, every four days a triplicate set of the most extreme,\ncurrent temperature treatments were split with one fraction retained at its\ncurrent treatment and one fraction shifted a temperature step outward (i.e.\nfurther towards the temperature extremes).\\u00a0 Only the cultures growing at\nthe highest and lowest temperatures were split and transferred to new\ntemperatures, but all other cultures were continually maintained in\nexponential growth phase.\\u00a0 Cultures maintained at 15 \\u00b0C throughout\nthe duration of the experiment served as an acclimated control, and as a\nreference for the temporal consistency in acclimated rates. Including all\ntemperature steps and extrema, the nine treatments included: 6, 8, 10, 12, 18,\n22, 25, 28, 31, and the control at 15\\u00b0C. It took 20 days to complete the\nindividual temperature shifts at 4-day intervals to reach the most extreme\ntemperature treatments.\n \nDedicated incubators were used for control (15\\u00b0C, Model 2015 Low\nTemperature Incubator, VWR Scientific); 4, 6 (I-41LLVL, Percival Scientific);\n8, 18, 22 (I-36LLVL, Percival Scientific); and 10 \\u00b0C (Environ Air, Holman\nEngineering). Twenty-five, 28, and 31 \\u00b0C treatments were accomplished\nwith clear 10 L baths controlled by a coupled aquarium heater and thermostat\n(Fluval, Tru Temp), housed in an illuminated incubator. Light intensity was\nconsistently controlled across temperature treatments.\n \nPopulation and growth rate measurements\n \nTo quantify changes in cell size, population growth rate, and volumetric\ngrowth rate, the abundance and size (Equivalent Spherical Diameter, ESD)\ndistribution of each culture were measured with a 100 \\u00b5m aperture on a\nBeckman Coulter Multisizer 3 (Beckman Coulter, Brea California; Kim and\nMenden-Deuer 2013). The default bin size was the instrument standard of 0.2\n\\u00b5m. Each treatment set was measured daily for 15 days following the\ninitial transfer to the target temperature. Experiments were terminated after\n15 days because the objective of these experiments was to establish the\nresponse to relatively short-term temperature fluctuations. \\u00a0\n \nStatistical analysis\n \nMean and standard deviation of size distribution and cell counts as measured\nby the Coulter Counter were estimated from the raw data by a gaussian\ndistribution, fit with maximum likelihood estimation to the frequency of\nparticles greater than 8 \\u00b5m. Measurements that immediately followed\nculture inoculation and those from the growth were omitted. Cell volumes were\nestimated with equivalent spherical diameter (ESD) and spherical shape\napproximation.\n \nThese experiments were conducted at the University of Rhode Island, Graduate\nSchool of Oceanography in the laboratory of Dr. Susanne Menden-Deuer |
attribute | NC_GLOBAL | awards_0_award_nid | String | 739231 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1736635 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1736635 |
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 | David L. Garrison |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Cell size as ESD \n Equivalent spherical diameters of Heterosigma akashiwo raised at mulitple temperatures \n PI: S. Menden-Deuer (URI) \n version date: 2020-01-06 \n \treplaces version 2019-12-04 |
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 | 2019-12-04T19:43:45Z |
attribute | NC_GLOBAL | date_modified | String | 2020-01-09T14:54:16Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.783509.2 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/783509 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Used to count cells. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 783514 |
attribute | NC_GLOBAL | instruments_0_description | String | An apparatus for counting and sizing particles suspended in electrolytes. It is used for cells, bacteria, prokaryotic cells and virus particles. A typical Coulter counter has one or more microchannels that separate two chambers containing electrolyte solutions.\n\nfrom https://en.wikipedia.org/wiki/Coulter_counter |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Coulter Counter |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 668847 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Beckman Coulter Multisizer III Counter |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, chemical, culture, data, dataset, dmo, erddap, esd, management, mean, MeanESD, oceanography, office, preliminary, temperature |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/783509/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/783509 |
attribute | NC_GLOBAL | param_mapping | String | {'783509': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/783509/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | University of Rhode Island |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | URI-GSO |
attribute | NC_GLOBAL | people_0_person_name | String | Susanne Menden-Deuer |
attribute | NC_GLOBAL | people_0_person_nid | String | 739234 |
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 BCO-DMO |
attribute | NC_GLOBAL | people_1_person_name | String | Nancy Copley |
attribute | NC_GLOBAL | people_1_person_nid | String | 50396 |
attribute | NC_GLOBAL | people_1_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_1_role_type | String | related |
attribute | NC_GLOBAL | project | String | Planktonic Herbivore Temp Dependence |
attribute | NC_GLOBAL | projects_0_acronym | String | Planktonic Herbivore Temp Dependence |
attribute | NC_GLOBAL | projects_0_description | String | NSF Award Abstract:\nPlankton, single-celled organisms that inhabit the world's oceans are responsible for the generation of oxygen, cycling energy and matter between the atmosphere and the deep ocean and are the basis for virtually all seafood harvested. These life-giving functions critically depend on the relative rates at which plankton grow and get eaten. How temperature influences those rates is essential to understand plankton responses to environmental changes and ocean dynamics. It is well established that plankton grow faster when temperatures are higher however, whether feeding has a similar temperature dependence is unknown. That means oceanographers are missing key data required to build global predictive models. This project will fill essential knowledge gaps and measure physiological rates of singled celled zooplankton across temperature gradients representing the global ocean, from polar to tropical regions and throughout the seasonal cycle. Researchers will combine laboratory experiments with specimens taken from the coastal ocean (Narragansett Bay), which is exemplary in its strong seasonal temperature variations. These data will provide a clear picture of the production capacity and activity of plankton in a global and dynamic ocean. The project supports an early career scientist, as well as graduate and undergraduate students. Scientists will continue communicating their research to the public through large-scale outreach events, education at the high-school level, and engagement through online and other media. Moreover, researchers will continue collaborating with the Metcalf Institute for Marine & Environmental Reporting to support their Annual Science Immersion Workshop for Journalists and their ongoing work to disseminate research findings through web-based seminars.\nGrazing is the single largest loss factor of marine primary production and thus affects a key transfer rate between global organic and inorganic matter pools. Remarkably, data for herbivorous protist growth and grazing rates at temperatures representative of the vast polar regions and during winter and spring periods are extremely sparse. By combining laboratory experiments with ground truthing fieldwork, this project alleviates a central knowledge gap in oceanography and delivers the empirical measurements necessary to derive algorithms to incorporate temperature dependence of heterotrophic protist growth and grazing rates into biogeochemical models. The extraordinary seasonal temperature fluctuations in a temperate coastal estuary (Narragansett Bay) are exploited to measure rates of heterotrophic protists isolated from different temperatures and seasons and to quantify the temperature and acclimation responses of these ecotypes. This project delivers data urgently needed to solve the conundrum of whether herbivorous growth and predation is depressed at low temperatures, implying low trophic transfer rates and high carbon export, or if predation proceeds at rates comparable to temperate systems with primary production largely lost to predation. Large temperature gradients in the global ocean mean that cross-biome and biogeochemical models are particularly sensitive to assumptions about the temperature dependence in modeled rate processes. Establishment of the dependence of heterotrophic plankton physiological rates (growth and grazing) to gradients of temperature, mimicking realistic conditions experienced by plankton in a changing ocean, is a key step towards integrating much needed biological information in biogeochemical modeling efforts. This project makes a significant contribution to linking ecological research with ecosystem models by providing empirically rooted algorithms of the temperature dependence of protistan herbivory and growth rates, key processes in the transformation of organic matter in global biogeochemical cycles and tools critically missing in ecosystem models. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2020-08 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Narragansett Bay |
attribute | NC_GLOBAL | projects_0_name | String | Quantifying Temperature Dependence In Growth & Grazing Rates of Planktonic Herbivores |
attribute | NC_GLOBAL | projects_0_project_nid | String | 739232 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2017-09 |
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 | A key component of the effects of temperature on growth and production of phytoplankton is not only through changes in numerical abundance, but also biomass and proxies for biomass such as biovolume. To understand how temperature affected size and biovolumetric growth, repeated measurements of the mean size feature, equivalent spherical diameter (ESD), were recorded for each experimental replicate culture of Heterosigma akashiwo across a broad range of temperature treatments. These data were collected as part of the experiment designed to study the effect of changing temperature on phytoplankton growth rates. |
attribute | NC_GLOBAL | title | String | [Phytoplankton size over temperature range] - Equivalent spherical diameter of Heterosigma akashiwo grown at different temperatures (Quantifying Temperature Dependence In Growth & Grazing Rates of Planktonic Herbivores) |
attribute | NC_GLOBAL | version | String | 2 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | Culture | String | ||
attribute | Culture | bcodmo_name | String | sample |
attribute | Culture | description | String | culture identifier |
attribute | Culture | long_name | String | Culture |
attribute | Culture | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | Culture | units | String | unitless |
variable | Temperature | byte | ||
attribute | Temperature | _FillValue | byte | 127 |
attribute | Temperature | actual_range | byte | 6, 31 |
attribute | Temperature | bcodmo_name | String | temperature |
attribute | Temperature | description | String | temperature treatment |
attribute | Temperature | long_name | String | Temperature |
attribute | Temperature | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ |
attribute | Temperature | units | String | degrees Celsius |
variable | MeanESD | float | ||
attribute | MeanESD | _FillValue | float | NaN |
attribute | MeanESD | actual_range | float | 8.6, 18.4 |
attribute | MeanESD | bcodmo_name | String | diameter |
attribute | MeanESD | description | String | Mean Equivalent Spherical Diameter for a culture at single observations |
attribute | MeanESD | long_name | String | Mean ESD |
attribute | MeanESD | units | String | micrometers |