http://lod.bco-dmo.org/id/dataset/771344
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
2019-06-19
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Record of abundance and δ2H of dinosterol in down core lake sediments from T Lake, Palau collected in September 2013
2019-06-19
publication
2019-06-19
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-06-25
publication
https://doi.org/10.1575/1912/bco-dmo.771344.1
Julian P. Sachs
University of Washington
principalInvestigator
Michael N. Dawson
University of California-Merced
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: Sachs, J., Dawson, M. (2019) Record of abundance and δ2H of dinosterol in down core lake sediments from T Lake, Palau collected in September 2013. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-06-19 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.771344.1 [access date]
Record of abundance and δ2H of dinosterol in down core lake sediments from T Lake, Palau Dataset Description: <p>These data are published in Table 2 of Sachs et al., 2018 (doi:&nbsp;<a href="http://dx.doi.org/10.1029/2018PA003469" target="_blank">10.1029/2018PA003469</a>)</p> Methods and Sampling: <p>Methods are as per "Southward Shift of the Pacific ITCZ During the Holocene" in Paleoceanography and Paleoclimatology, volume 33, pages 1383-1395 (Sachs et al. 2018).</p>
<p>Sediment core PTLN‐PC1 was collected September 2013 in sequential 1m sections using a 5cm‐diameter Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer (Geocore, Columbus, Ohio). Each section was sealed in the field and refrigerated at 4 °C until core splitting and subsampling.</p>
<p>Sample ages were linearly interpolated from calibrated 14C dates (see dataset "T Lake PC1 Chronology") using the Clam 2.2 (Blaauw, 2010) software package.</p>
<p>Sediment subsamples were transferred to combusted glass vials, frozen, then freeze dried. Lipids were extracted with 10% methanol in dichloromethane on an accelerated solvent extractor (ASE 200; Dionex) at 100°C and 1500 psi with three 5‐min static cycles. Lipid extracts were saponified using 2:1 1N KOH in methanol:water at 70°C overnight. Saponified extracts were acidified to pH ~1 with HCl, neutral lipids extracted from the water/methanol phase with hexane, and the hexane extracts washed with water. Lipid extracts were acetylated at 70°C for 30 min in a mixture of 20 μl acetic anhydride of known isotopic composition and 20 μl pyridine. Sterol acetates were then isolated via preparative high‐performance liquid chromatography as per the methods in Nelson and Sachs (2013, 2014). Extracts were taken up in 25 μl of 2:1 dichloromethane:methanol and the complete volume injected onto an Agilent 1100 high‐performance liquid chromatography system equipped with a Zorbax Eclipse XDB C18 column; after an initial elution of polar compounds in 5:95 methanol:acetonitrile, sterol acetates were eluted with an isocratic mobile phase of 5:10:85 methanol:ethyl acetate:acetonitrile. Aliquots (5%) of each sample were injected on an Agilent 6890N GC with flame ionization detector and PTV inlet, equipped with an Agilent VF‐17 ms column (60 m × 0.32 mm × 0.25 μm), in splitless mode at 300°C using helium carrier gas at 1.5 ml/min. The initial oven temperature was 110°C, followed by a ramp to 320°C at 5°C/min, and was then held for 20 min. Detector response was determined via an α‐cholestane internal standard. Dinosterol fluxes were calculated from the product of dinosterol concentration per gram dry weight of sediment, the linear sediment accumulation rate, and the dry bulk density of sediment. Uncertainty in dinosterol fluxes is conservatively assumed to be 25%.</p>
<p>Hydrogen isotopes of dinosterol were measured via a modification of the procedures outlined in Nelson and Sachs (2013). Gas chromatography was conducted using a Thermo Trace GC Ultra equipped with a GC‐TC interface. Samples were injected into the 330°C inlet in splitless mode, with a 1.1 ml/min helium carrier flow through a VF‐17 ms column (60 m × 0.25 mm × 0.25 μm). The oven temperature was held at 120°C for the 2‐min splitless time, increased to 260 °C at 20 °C/min, increased to 325°C at 1°C/min, and held for 10 min. The pyrolysis interface was operated at 1400°C, and the sample hydrogen admitted to a Thermo Delta V Plus isotope ratio mass spectrometer via open split.</p>
<p>Isotope measurements are given as δ²&gt;H values relative to Vienna Standard Mean Ocean Water and calibrated via external isotope standards (Arndt Schimmelmann, Indiana University). Secondary corrections were determined based on time‐in‐sequence, retention time, and peak area, as necessary, on a sequence‐by‐sequence basis. Each sample analyzed at least three times. δ²H values were corrected for added acetate hydrogen (−124.4‰ ± 8.1) via mass balance. Uncertainty is given as the standard deviation of these replicate analyses and uncertainty in the value of the known acetate, propagated through the mass balance calculation.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1241255 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1241255
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1241247 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1241247
completed
Julian P. Sachs
University of Washington
206-221-5630
School of Oceanography Box 357940
Seattle
WA
357940
United States
jsachs@washington.edu
pointOfContact
Michael N. Dawson
University of California-Merced
209-228-4056
School of Natural Sciences 5200 North Lake Road
Merced
CA
95343
United States
mdawson@ucmerced.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
depth_cm
age_ybp
conc_dino
dbd
flux_dino
dino_2H
dino_2H_1sig
ASE 200 Accelerated Solvent Extractor (Dionex)
6890N GC (Agilent)
Trace GC Ultra (Thermo)
1100 HPLC system (Agilent)
Delta V Plus IRMS (Thermo)
Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer
theme
None, User defined
depth core
age
density
Sediment dinosterol
lipids in sediment
d2H
featureType
BCO-DMO Standard Parameters
Accelerated Solvent Extractor
Gas Chromatograph
Gas Chromatograph
High-Performance Liquid Chromatograph
Isotope-ratio Mass Spectrometer
Piston Corer
instrument
BCO-DMO Standard Instruments
Palau_lakes
service
Deployment Activity
NW Pacific
place
Locations
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
Do Parallel Patterns Arise from Parallel Processes?
http://marinelakes.ucmerced.edu/
Do Parallel Patterns Arise from Parallel Processes?
<p>This project will survey the taxonomic, genetic, and functional diversity of the organisms found in marine lakes, and investigate the processes that cause gains and losses in this biodiversity. Marine lakes formed as melting ice sheets raised sea level after the last glacial maximum and flooded hundreds of inland valleys around the world. Inoculated with marine life from the surrounding sea and then isolated to varying degrees for the next 6,000 to 15,000 years, these marine lakes provide multiple, independent examples of how environments and interactions between species can drive extinction and speciation. Researchers will survey the microbes, algae, invertebrates, and fishes present in 40 marine lakes in Palau and Papua, and study how diversity has changed over time by retrieving the remains of organisms preserved in sediments on the lake bottoms. The project will test whether the number of species, the diversity of functional roles played by organisms, and the genetic diversity within species increase and decrease in parallel; whether certain species can greatly curtail diversity by changing the environment; whether the size of a lake determines its biodiversity; and whether the processes that control diversity in marine organisms are similar to those that operate on land.</p>
<p>Because biodiversity underlies the ecosystem services on which society depends, society has a great interest in understanding the processes that generate and retain biodiversity in nature. This project will also help conserve areas of economic importance. Marine lakes in the study region are important for tourism, and researchers will work closely with governmental and non-governmental conservation and education groups and with diving and tourism businesses to raise awareness of the value and threats to marine lakes in Indonesia and Palau.</p>
PaPaPro
largerWorkCitation
project
eng; USA
oceans
NW Pacific
134.4385
134.4385
7.3045
7.3045
2013-09-01
2013-09-30
Western Pacific; Palau; Indonesia (West Papua)
0
BCO-DMO catalogue of parameters from Record of abundance and δ2H of dinosterol in down core lake sediments from T Lake, Palau collected in September 2013
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/771414.rdf
Name: depth_cm
Units: centimeters (cm)
Description: <p>composite depth, top of 1cm sampling interval</p>
http://lod.bco-dmo.org/id/dataset-parameter/771415.rdf
Name: age_ybp
Units: years before present (yr bp)
Description: <p>linear interpolation of PTLN_PC1_chron via CLAM 2.2</p>
http://lod.bco-dmo.org/id/dataset-parameter/771416.rdf
Name: conc_dino
Units: grams per cubic centimeter (g cm-3)
Description: <p>dry bulk sediment density</p>
http://lod.bco-dmo.org/id/dataset-parameter/771417.rdf
Name: dbd
Units: micrograms (ug)
Description: <p>dinosterol per gram dry sediment</p>
http://lod.bco-dmo.org/id/dataset-parameter/771418.rdf
Name: flux_dino
Units: micrograms per square centimeter per year (ug cm-2 yr-1)
Description: <p>dinosterol per square centimeter per year</p>
http://lod.bco-dmo.org/id/dataset-parameter/771419.rdf
Name: dino_2H
Units: per mil (‰)
Description: <p>delta 2H (d2h) of dinosterol vs. SMOW</p>
http://lod.bco-dmo.org/id/dataset-parameter/771420.rdf
Name: dino_2H_1sig
Units: per mil (‰)
Description: <p>1 standard deviation of replicate analyses of 2H_dino</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
1767
https://darchive.mblwhoilibrary.org/bitstream/1912/24286/1/dataset-771344_t-lake-1200-yr-reconstruction__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.771344.1
download
onLine
dataset
<p>Methods are as per "Southward Shift of the Pacific ITCZ During the Holocene" in Paleoceanography and Paleoclimatology, volume 33, pages 1383-1395 (Sachs et al. 2018).</p>
<p>Sediment core PTLN‐PC1 was collected September 2013 in sequential 1m sections using a 5cm‐diameter Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer (Geocore, Columbus, Ohio). Each section was sealed in the field and refrigerated at 4 °C until core splitting and subsampling.</p>
<p>Sample ages were linearly interpolated from calibrated 14C dates (see dataset "T Lake PC1 Chronology") using the Clam 2.2 (Blaauw, 2010) software package.</p>
<p>Sediment subsamples were transferred to combusted glass vials, frozen, then freeze dried. Lipids were extracted with 10% methanol in dichloromethane on an accelerated solvent extractor (ASE 200; Dionex) at 100°C and 1500 psi with three 5‐min static cycles. Lipid extracts were saponified using 2:1 1N KOH in methanol:water at 70°C overnight. Saponified extracts were acidified to pH ~1 with HCl, neutral lipids extracted from the water/methanol phase with hexane, and the hexane extracts washed with water. Lipid extracts were acetylated at 70°C for 30 min in a mixture of 20 μl acetic anhydride of known isotopic composition and 20 μl pyridine. Sterol acetates were then isolated via preparative high‐performance liquid chromatography as per the methods in Nelson and Sachs (2013, 2014). Extracts were taken up in 25 μl of 2:1 dichloromethane:methanol and the complete volume injected onto an Agilent 1100 high‐performance liquid chromatography system equipped with a Zorbax Eclipse XDB C18 column; after an initial elution of polar compounds in 5:95 methanol:acetonitrile, sterol acetates were eluted with an isocratic mobile phase of 5:10:85 methanol:ethyl acetate:acetonitrile. Aliquots (5%) of each sample were injected on an Agilent 6890N GC with flame ionization detector and PTV inlet, equipped with an Agilent VF‐17 ms column (60 m × 0.32 mm × 0.25 μm), in splitless mode at 300°C using helium carrier gas at 1.5 ml/min. The initial oven temperature was 110°C, followed by a ramp to 320°C at 5°C/min, and was then held for 20 min. Detector response was determined via an α‐cholestane internal standard. Dinosterol fluxes were calculated from the product of dinosterol concentration per gram dry weight of sediment, the linear sediment accumulation rate, and the dry bulk density of sediment. Uncertainty in dinosterol fluxes is conservatively assumed to be 25%.</p>
<p>Hydrogen isotopes of dinosterol were measured via a modification of the procedures outlined in Nelson and Sachs (2013). Gas chromatography was conducted using a Thermo Trace GC Ultra equipped with a GC‐TC interface. Samples were injected into the 330°C inlet in splitless mode, with a 1.1 ml/min helium carrier flow through a VF‐17 ms column (60 m × 0.25 mm × 0.25 μm). The oven temperature was held at 120°C for the 2‐min splitless time, increased to 260 °C at 20 °C/min, increased to 325°C at 1°C/min, and held for 10 min. The pyrolysis interface was operated at 1400°C, and the sample hydrogen admitted to a Thermo Delta V Plus isotope ratio mass spectrometer via open split.</p>
<p>Isotope measurements are given as δ²&gt;H values relative to Vienna Standard Mean Ocean Water and calibrated via external isotope standards (Arndt Schimmelmann, Indiana University). Secondary corrections were determined based on time‐in‐sequence, retention time, and peak area, as necessary, on a sequence‐by‐sequence basis. Each sample analyzed at least three times. δ²H values were corrected for added acetate hydrogen (−124.4‰ ± 8.1) via mass balance. Uncertainty is given as the standard deviation of these replicate analyses and uncertainty in the value of the known acetate, propagated through the mass balance calculation.</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Processing:&nbsp;modified parameter names (changed "2H_dino" to "dino_2H" because column names cannot start with&nbsp;numbers)</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
ASE 200 Accelerated Solvent Extractor (Dionex)
ASE 200 Accelerated Solvent Extractor (Dionex)
PI Supplied Instrument Name: ASE 200 Accelerated Solvent Extractor (Dionex) PI Supplied Instrument Description:ASE 200 Accelerated Solvent Extractor (Dionex). High pressure/temperature solvent extractor. Instrument Name: Accelerated Solvent Extractor Instrument Short Name:ASE Instrument Description: Accelerated solvent extraction (ASE) is a method for extracting various chemicals from a complex solid or semisolid sample matrix. The process uses high temperature and pressure, which results in the extraction taking less time and requiring less solvent, and possibly also giving better analyte recovery, than traditional methods that use less extreme conditions.
6890N GC (Agilent)
6890N GC (Agilent)
PI Supplied Instrument Name: 6890N GC (Agilent) PI Supplied Instrument Description:6890N GC (Agilent). Gas chromatograph equipped with flame ionization detector and PTV (programmable temperature volatilization) inlet. Instrument Name: Gas Chromatograph Instrument Short Name:Gas Chromatograph Instrument Description: Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB02/
Trace GC Ultra (Thermo)
Trace GC Ultra (Thermo)
PI Supplied Instrument Name: Trace GC Ultra (Thermo) PI Supplied Instrument Description:Trace GC Ultra (Thermo). Gas chromatograph equipped with pyrolysis interface (GC-TC II) and split/splitless inlet. Instrument Name: Gas Chromatograph Instrument Short Name:Gas Chromatograph Instrument Description: Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB02/
1100 HPLC system (Agilent)
1100 HPLC system (Agilent)
PI Supplied Instrument Name: 1100 HPLC system (Agilent) PI Supplied Instrument Description:1100 HPLC system (Agilent). High performance liquid chromatograph, equipped with fraction collector for preparative separations. Instrument Name: High-Performance Liquid Chromatograph Instrument Short Name:HPLC Instrument Description: A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB11/
Delta V Plus IRMS (Thermo)
Delta V Plus IRMS (Thermo)
PI Supplied Instrument Name: Delta V Plus IRMS (Thermo) PI Supplied Instrument Description:Delta V Plus IRMS (Thermo). Isotope ratio mass spectrometer with continuous flow inlet, interfaced to open split in GC-TC interface. Instrument Name: Isotope-ratio Mass Spectrometer Instrument Short Name:IR Mass Spec; IRMS Instrument Description: The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/
Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer
Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer
PI Supplied Instrument Name: Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer PI Supplied Instrument Description:Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer (Geocore, Columbus, Ohio). Hand-operated sediment coring device. Instrument Name: Piston Corer Instrument Short Name:Piston Corer Instrument Description: The piston corer is a type of bottom sediment sampling device. A long, heavy tube is plunged into the seafloor to extract samples of mud sediment. A piston corer uses a "free fall" of the coring rig to achieve a greater initial force on impact than gravity coring. A sliding piston inside the core barrel reduces inside wall friction with the sediment and helps to evacuate displaced water from the top of the corer. A piston corer is capable of extracting core samples up to 90 feet in length. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/51/
Cruise: Palau_lakes
Palau_lakes
Small boats - CRRF
vessel
Palau_lakes
Michael N. Dawson
University of California-Merced
Small boats - CRRF
vessel