http://lod.bco-dmo.org/id/dataset/780386
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2019-10-31
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Elemental carbon and nitrogen data for Skeletonema species as analyzed in Anderson and Rynearson, 2020
2019-10-30
publication
2019-10-30
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-02-03
publication
https://doi.org/10.1575/1912/bco-dmo.780386.1
Tatiana A. Rynearson
University of Rhode Island
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Rynearson, T. (2019) Elemental carbon and nitrogen data for Skeletonema species as analyzed in Anderson and Rynearson, 2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-10-30 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.780386.1 [access date]
CHN Dataset Description: <p>This dataset includes carbon and nitrogen concentrations of Skeletonema cultures maintained at six temperatures. Strains were collected at Narragansett Bay, Rhode Island.</p> Methods and Sampling: <p>Complete methods are outlined in Anderson and Rynearson, 2020, in press.</p>
<p>Elemental Analyses: From each culture and during exponential growth phase, &gt;1 x 107 cells were filtered in triplicate onto precombusted 25-mm GF/F filters, and rinsed with 10 ml F/2 media. Blanks were made to correct for any elemental contribution from filters or media. Filters were dried at 60 degrees C for 24 hrs. The mass of the filter, total volume filtered, and cell counts were utilized to determine the number of cells analyzed. Elemental composition was assessed on an elemental analyzer.</p>
<p>Cell volume: Linear measurements of height and diameter were recorded for 30 live cells from each strain and used to calculate cell volume using the volume of a cylinder (Montagnes and Franklin 2001).</p>
<p>All data processing was carried out in R 3.4.1(R-Core-Team 2015).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1638834 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1638834
completed
Tatiana A. Rynearson
University of Rhode Island
401-874-6022
Graduate School of Oceanography, University of Rhode Island 215 South Ferry Rd.
Narragansett
RI
02882
USA
rynearson@uri.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Species
Strain
GenBank
Collection_date
Isolation_Lat
Isolation_Lon
Isolation_Temperature
Temperature
meanC
seC
meanN
seN
meanCN
seCN
meanV
seV
mean_cd
se_cd
mean_nd
se_nd
Elemental analyzer (CE-440, Exeter Analytical, North Chelmsford, MA)
Eclipse E800 microscope (Nikon, Tokyo, Japan)
theme
None, User defined
species scientific name (binomial)
sample description
accession number
date
latitude
longitude
sea surface temperature
incubation or cultivation temperature (not ambient water temp)
Elemental carbon (C)
Nitrogen
Carbon to Nitrogen ratio (C:N)
volume
featureType
BCO-DMO Standard Parameters
CHN Elemental Analyzer
Microscope - Optical
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Dimensions of Biodiversity
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503446
Dimensions of Biodiversity
(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program. [MORE from NSF]
The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.
Dimensions of Biodiversity
largerWorkCitation
program
Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
https://osprey.bco-dmo.org/project/712787
Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
<p><em>NSF Award Abstract:</em><br />
Photosynthetic marine microbes, phytoplankton, contribute half of global primary production, form the base of most aquatic food webs and are major players in global biogeochemical cycles. Understanding their community composition is important because it affects higher trophic levels, the cycling of energy and elements and is sensitive to global environmental change. This project will investigate how phytoplankton communities respond to two major global change stressors in aquatic systems: warming and changes in nutrient availability. The researchers will work in two marine systems with a long history of environmental monitoring, the temperate Narragansett Bay estuary in Rhode Island and a subtropical North Atlantic site near Bermuda. They will use field sampling and laboratory experiments with multiple species and varieties of phytoplankton to assess the diversity in their responses to different temperatures under high and low nutrient concentrations. If the diversity of responses is high within species, then that species may have a better chance to adapt to rising temperatures and persist in the future. Some species may already be able to grow at high temperatures; consequently, they may become more abundant as the ocean warms. The researchers will incorporate this response information in mathematical models to predict how phytoplankton assemblages would reorganize under future climate scenarios. Graduate students and postdoctoral associates will be trained in diverse scientific approaches and techniques such as shipboard sampling, laboratory experiments, genomic analyses and mathematical modeling. The results of the project will be incorporated into K-12 teaching, including an advanced placement environmental science class for underrepresented minorities in Los Angeles, data exercises for rural schools in Michigan and disseminated to the public through an environmental journalism institute based in Rhode Island.</p>
<p>Predicting how ecological communities will respond to a changing environment requires knowledge of genetic, phylogenetic and functional diversity within and across species. This project will investigate how the interaction of phylogenetic, genetic and functional diversity in thermal traits within and across a broad range of species determines the responses of marine phytoplankton communities to rising temperature and changing nutrient regimes. High genetic and functional diversity within a species may allow evolutionary adaptation of that species to warming. If the phylogenetic and functional diversity is higher across species, species sorting and ecological community reorganization is likely. Different marine sites may have a different balance of genetic and functional diversity within and across species and, thus, different contribution of evolutionary and ecological responses to changing climate. The research will be conducted at two long-term time series sites in the Atlantic Ocean, the Narragansett Bay Long-Term Plankton Time Series and the Bermuda Atlantic Time Series (BATS) station. The goal is to assess intra- and inter-specific genetic and functional diversity in thermal responses at contrasting nutrient concentrations for a representative range of species in communities at the two sites in different seasons, and use this information to parameterize eco-evolutionary models embedded into biogeochemical ocean models to predict responses of phytoplankton communities to projected rising temperatures under realistic nutrient conditions. Model predictions will be informed by and tested with field data, including the long-term data series available for both sites and in community temperature manipulation experiments. This project will provide novel information on existing intraspecific genetic and functional thermal diversity for many ecologically and biogeochemically important phytoplankton species, estimate generation of new genetic and functional diversity in evolution experiments, and develop and parameterize novel eco-evolutionary models interfaced with ocean biogeochemical models to predict future phytoplankton community structure. The project will also characterize the interaction of two major global change stressors, warming and changing nutrient concentrations, as they affect phytoplankton diversity at functional, genetic, and phylogenetic levels. In addition, the project will develop novel modeling methodology that will be broadly applicable to understanding how other types of complex ecological communities may adapt to a rapidly warming world.</p>
Phytoplankton Community Responses
largerWorkCitation
project
eng; USA
biota
oceans
-73.064
-73.064
41.566
41.566
2015-03-03
2016-06-13
Narragansett Bay, RI and Bermuda, Bermuda Atlantic Time-series Study (BATS)
0
BCO-DMO catalogue of parameters from Elemental carbon and nitrogen data for Skeletonema species as analyzed in Anderson and Rynearson, 2020
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/780398.rdf
Name: Species
Units: unitless
Description: <p>Species</p>
http://lod.bco-dmo.org/id/dataset-parameter/780399.rdf
Name: Strain
Units: unitless
Description: <p>Strain</p>
http://lod.bco-dmo.org/id/dataset-parameter/780400.rdf
Name: GenBank
Units: unitless
Description: <p>GenBank Accession Number associated with each strain</p>
http://lod.bco-dmo.org/id/dataset-parameter/780401.rdf
Name: Collection_date
Units: unitless
Description: <p>Date of collection from the environment; formatted as yyyy-mm-dd</p>
http://lod.bco-dmo.org/id/dataset-parameter/780402.rdf
Name: Isolation_Lat
Units: degrees
Description: <p>Latitude of strain isolation; north is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/780403.rdf
Name: Isolation_Lon
Units: degrees
Description: <p>Longitude of strain isolation; east is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/780404.rdf
Name: Isolation_Temperature
Units: degrees C
Description: <p>Sea surface temperature (SST) at time and position of isolation</p>
http://lod.bco-dmo.org/id/dataset-parameter/780405.rdf
Name: Temperature
Units: degrees C
Description: <p>Experimental temperature at which measurements were recorded</p>
http://lod.bco-dmo.org/id/dataset-parameter/780408.rdf
Name: meanC
Units: picomol carbon per cell
Description: <p>Mean carbon per cell</p>
http://lod.bco-dmo.org/id/dataset-parameter/780409.rdf
Name: seC
Units: picomol carbon per cell
Description: <p>Standard error of carbon per cell</p>
http://lod.bco-dmo.org/id/dataset-parameter/780410.rdf
Name: meanN
Units: picomol nitrogen per cell
Description: <p>Mean nitrogen per cell</p>
http://lod.bco-dmo.org/id/dataset-parameter/780411.rdf
Name: seN
Units: picomol nitrogen per cell
Description: <p>Standard error of nitrogen per cell</p>
http://lod.bco-dmo.org/id/dataset-parameter/780412.rdf
Name: meanCN
Units: unitless
Description: <p>Average molar ratio of carbon to nitrogen per cell</p>
http://lod.bco-dmo.org/id/dataset-parameter/780413.rdf
Name: seCN
Units: unitless
Description: <p>Standard error of molar carbon to nitrogen per cell</p>
http://lod.bco-dmo.org/id/dataset-parameter/780414.rdf
Name: meanV
Units: cubic micrometers (um3)
Description: <p>Mean cell volume</p>
http://lod.bco-dmo.org/id/dataset-parameter/780415.rdf
Name: seV
Units: cubic micrometers (um3)
Description: <p>Cell volume standard error</p>
http://lod.bco-dmo.org/id/dataset-parameter/780416.rdf
Name: mean_cd
Units: femtomol/cubic micrometers (fmol um-3)
Description: <p>Mean carbon density per cell</p>
http://lod.bco-dmo.org/id/dataset-parameter/780417.rdf
Name: se_cd
Units: femtomol/cubic micrometers (fmol um-3)
Description: <p>Carbon density per cell standard error</p>
http://lod.bco-dmo.org/id/dataset-parameter/780418.rdf
Name: mean_nd
Units: femtomol/cubic micrometers (fmol um-3)
Description: <p>Mean nitrogen density per cell</p>
http://lod.bco-dmo.org/id/dataset-parameter/780419.rdf
Name: se_nd
Units: femtomol/cubic micrometers (fmol um-3)
Description: <p>Nitrogen density per cell standard error</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2927
https://darchive.mblwhoilibrary.org/bitstream/1912/25304/1/dataset-780386_anderson-rynearson-2020-skeletonema-chn__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.780386.1
download
onLine
dataset
<p>Complete methods are outlined in Anderson and Rynearson, 2020, in press.</p>
<p>Elemental Analyses: From each culture and during exponential growth phase, &gt;1 x 107 cells were filtered in triplicate onto precombusted 25-mm GF/F filters, and rinsed with 10 ml F/2 media. Blanks were made to correct for any elemental contribution from filters or media. Filters were dried at 60 degrees C for 24 hrs. The mass of the filter, total volume filtered, and cell counts were utilized to determine the number of cells analyzed. Elemental composition was assessed on an elemental analyzer.</p>
<p>Cell volume: Linear measurements of height and diameter were recorded for 30 live cells from each strain and used to calculate cell volume using the volume of a cylinder (Montagnes and Franklin 2001).</p>
<p>All data processing was carried out in R 3.4.1(R-Core-Team 2015).</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing Notes:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
- re-formatted date from m/d/yyyy to yyyy-mm-dd</p>
<p>&nbsp;</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Elemental analyzer (CE-440, Exeter Analytical, North Chelmsford, MA)
Elemental analyzer (CE-440, Exeter Analytical, North Chelmsford, MA)
PI Supplied Instrument Name: Elemental analyzer (CE-440, Exeter Analytical, North Chelmsford, MA) PI Supplied Instrument Description:Used for elemental analyses. Instrument Name: CHN Elemental Analyzer Instrument Short Name:CHN_EA Instrument Description: A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.
Eclipse E800 microscope (Nikon, Tokyo, Japan)
Eclipse E800 microscope (Nikon, Tokyo, Japan)
PI Supplied Instrument Name: Eclipse E800 microscope (Nikon, Tokyo, Japan) PI Supplied Instrument Description:Used t measure cell volume. Instrument Name: Microscope - Optical Instrument Short Name: Instrument Description: 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". Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB05/