http://lod.bco-dmo.org/id/dataset/767641
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
2019-05-13
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
YSI data from the Neuse River from 2008-2013
2019-05-13
publication
2019-05-13
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-05-15
publication
https://doi.org/10.1575/1912/bco-dmo.767641.1
Hans Paerl
University of North Carolina at Chapel Hill
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: Paerl, H. (2019) YSI data from the Neuse River from 2008-2013. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-05-13 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.767641.1 [access date]
YSI data from the Neuse River. Dataset Description: <p>The Neuse River Estuary Water Quality Dataset is a compilation of the biological, chemical and physical water quality data that was collected along the length of the Neuse River Estuary, NC from March 14, 1985 to February 15, 1989 and from January 24, 1994 to the present.&nbsp; The primary purpose of this dataset was to provide long-term environmental information to supplement experimental, process-based research, including the Atlantic Coast Environmental Indicators Consortium (ACE-INC) project as well as other laboratory studies.&nbsp;&nbsp;</p>
<p>This dataset contains auxiliary YSI data related to the dataset&nbsp;Neuse River Estuary WQ,&nbsp;<a href="https://www.bco-dmo.org/dataset/767391">https://www.bco-dmo.org/dataset/767391</a>.</p> Methods and Sampling: <p>Bi-weekly water sampling and in situ measurements were performed at fixed sampling stations.&nbsp; In situ measurements were&nbsp;performed throughout the water column in 0.5 meter depth increments.&nbsp; Parameters measured include: temperature, salinity, specific conductivity, dissolved oxygen (DO), pH, chlorophyll fluorescence, photosynthetically active radiation (PAR), turbidity, and barometric pressure.</p>
<p>Methods<br />
Water sampling was conducted bi-weekly. When collection was split over two days, a single date was used based on the upstream or majority stations.</p>
<p>Stations were selected to cover the entire length of the Neuse River Estuary from Streets Ferry Bridge (Station 0) to the mouth of the estuary where it flows into Pamlico Sound.&nbsp; When possible, efforts were made to select locations with key stationary features (channel markers, buoys and land markers) to allow easy station identification in the field.<br />
<br />
Surface water samples were collected by submerging 10 liter high-density polyethylene containers just below the water surface or by filling the containers with surface water collected from bucket casts.&nbsp; Bottom water samples were collected with a horizontal plastic Van Dorn sampler. Starting December 2007, all samples collected with diaphragm pump and a weighted, marked hose. All containers were kept in dark coolers at ambient temperature during transport to the laboratory.&nbsp; All filtration was done within a few hours of collection and when conditions permitted, on board the research vessel.<br />
<br />
Prior to the 09/13/2000 sampling date, in situ measurements were performed at discrete depths using a Hydrolab Data Sonde 3 equipped with a multiprobe and SVR3 display logger.&nbsp; Beginning on the 09/13/2000 sampling date, in situ measurements were performed at discrete depths on the sunlit side of the research vessel using a Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System) equipped with a YSI conductivity/temperature probe (Model 6560), a YSI chlorophyll probe (Model 6025), a YSI pH probe (Model 6561 or 6566), a YSI pulsed dissolved oxygen probe (Model 6562), a self cleaning YSI turbidity probe (Model 6026 or 6136), and beginning on the 07/30/2003 sampling date, a flat Li-Cor sensor (UWQ-PAR 6067).&nbsp; The YSI sonde was coupled to a either a YSI 610 DM datalogger or a YSI 650 MDS Multi-parameter Display System datalogger.&nbsp; In situ measurements were performed at the surface (approximately 0.2 meters) and at the bottom of the water column (approximately 0.5 meters from the sediment layer).&nbsp; These data are included in the worksheet titled "NRE Dataset."&nbsp; In situ measurements were also performed throughout the water column in 0.5 meter depth increments.&nbsp; These data are included in the worksheet titled "NRE YSI Profiles."&nbsp; The data were stored on the datalogger and downloaded to Ecowin software upon return to the laboratory.<br />
<br />
Distance (in river kilometers) was calculated using ESRI ArcGIS software.&nbsp; Distances were calculated using projected station locations (North Carolina State Plane 1983 meters projection).&nbsp; Distances from station 0 through 30 (upper river stations) were measured along the main channel of the river. Distances from stations 30 to 180 were measured as straight lines between stations</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0825466 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0825466
completed
Hans Paerl
University of North Carolina at Chapel Hill
252-726-6841
3431 Arendell Street
Morehead City
NC
28557
US
hans_paerl@unc.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Zlevel1
Zlevel2
Date
Station
Time
Depth
Temp
SpCond
Salinity
DOsat
DOconc
pH
Turbidity
Fluorescence
Chlorophyll
PARdepth
PAR1
PAR2
BarPress
ODO
DOsat_calc
DOconc_calc
Notes
ISO_DateTime
Station_Description
km0
Lat
Lon
Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System)
theme
None, User defined
No BCO-DMO term
date
station
time of day
depth
water temperature at measurement depth
conductivity
salinity
O2 saturation
dissolved Oxygen
pH
turbidity
fluorescence
chlorophyll a
PAR
barometric pressure
Date and time
length
latitude
longitude
featureType
BCO-DMO Standard Parameters
YSI Sonde 6-Series
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.
Collaborative Research: Regulation of Phytoplankton Dynamics in Mid-Atlantic Estuaries Subject to Climatic Perturbations
http://paerllab.web.unc.edu/projects/modmon/
Collaborative Research: Regulation of Phytoplankton Dynamics in Mid-Atlantic Estuaries Subject to Climatic Perturbations
<p>NSF Award Abstract:</p>
<p>Climatic perturbations by drought-flood cycles, tropical storms, and hurricanes are increasingly important in Mid-Atlantic estuaries, leading to ecosystem-scale responses of the plankton system with significant trophic implications. Recent observations support an emerging paradigm that climate dominates nutrient enrichment in these ecosystems, explaining seasonal and interannual variability of phytoplankton floral composition, biomass (chl-a), and primary production (PP). This project will evaluate this paradigm in the two largest estuaries in the United States, Chesapeake Bay (CB) and Albemarle-Pamlico Sound-Neuse River Estuary (APS-NRE) by quantifying responses to climatic perturbations. This project will: (1) resolve long-term trends of plankton biomass/production from high variability driven by climatic forcing, such as drought-flood cycles that generate significant departures from the norm; (2) quantify the role of episodic wind and precipitation events, such as those associated with frontal passages, tropical storms, and hurricanes, that evoke consequential spikes of biomass/production outside the resolution of traditional methods. The field program will focus on event-scale forcing of phytoplankton dynamics by collecting shipboard, aircraft remote sensing, and satellite (SeaWiFS, MODIS-A) data, analyzing extensive monitoring data for CB and APS-NRE to develop context, and quantifying effects of climatic perturbations on phytoplankton dynamics as departures from long-term averages. The rapid-response sampling will be paired with numerical simulations using coupled hydrodynamic biogeochemical models based on the Regional Ocean Modeling System (ROMS). This combination of observations and modeling will be used to explore mechanistic links and test empirical relationships obtained from field data.</p>
<p>Intellectual Merit. Drought-flood cycles, tropical storms, and hurricanes are occurring at increasing severity and frequency, exerting significant pressures on land margin ecosystems. Research and monitoring in these ecosystems has focused singularly on eutrophication for nearly five decades. Recognition of climatic perturbations as the underlying cause of phytoplankton variability represents a significant departure from this singular focus. This project will combine observations and modeling to significantly extend our knowledge of how climate regulates phytoplankton dynamics in estuaries. Progress in calibrating and validating hydrodynamic biogeochemical models with data collected in CB and APS-NRE by this project will lead to predictive capabilities thus far unattained, allowing us to evaluate the paradigm that climatic perturbations regulate phytoplankton dynamics in estuaries.</p>
<p>Broader Impacts: Addressing the effects of climatic perturbations on phytoplankton dynamics in estuaries with a combination of data collection, analysis, and mechanistic modeling has societal benefits for scientists and resource managers. Applications in addition to ?basic? science include the consideration of climatic forcing in designing effective nutrient management strategies. Specific impacts include: (1) quantifying the effects of climatic perturbations on planktonic processes for important estuarine-coastal ecosystems; (2) extending empirically-based water quality criteria forward by enabling predictions of floral composition, chl-a, and PP in changing climate conditions; (3) combining observations and mechanistic models to support scenario analysis, allowing us to distinguish long-term trends from variability imposed by climate. This project will offer a graduate course in physical transport processes and plankton productivity that will benefit from this research, support two Ph.D. students, and train undergraduates in NSF REU and minority outreach programs at HPL-UMCES and IMS-UNC. The main products will be peer-reviewed publications and presentations at scientific meetings. The three PIs maintain active web sites that will be used to distribute results and data.</p>
<p><em><u>NOTE:</u></em></p>
<p><em>Dr. Harding was the original Lead PI. Dr. Michael R. Roman was named as substitute PI when Dr. Harding served as a Program Director in the NSF Biological Oceanography Program for two years, and through his move to UCLA thereafter. Dr. Harding is responsible for the data holdings on this project and for coordinating their submittal to BCO-DMO.</em></p>
climate_phyto_estuaries
largerWorkCitation
project
eng; USA
oceans
-77.1222
-76.52602
34.94888
35.2106
2008-01-15
2013-12-09
The two largest estuaries in the United States, Chesapeake Bay (CB) and Albemarle-Pamlico Sound- Neuse River Estuary (APS-NRE).
0
BCO-DMO catalogue of parameters from YSI data from the Neuse River from 2008-2013
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/767670.rdf
Name: Zlevel1
Units: unitless
Description: <p>Column used to determine surface or near bottom designation (closest reading to 0.5 m from bottom or last reading)</p>
http://lod.bco-dmo.org/id/dataset-parameter/767671.rdf
Name: Zlevel2
Units: unitless
Description: <p>Column used to determine surface or near bottom designation (closest reading to 0.5 m from bottom or last reading)</p>
http://lod.bco-dmo.org/id/dataset-parameter/767672.rdf
Name: Date
Units: unitless
Description: <p>Date of water sample collection; filtration; and in situ measurements.</p>
http://lod.bco-dmo.org/id/dataset-parameter/767673.rdf
Name: Station
Units: unitless
Description: <p>The name of the fixed sampling station.</p>
http://lod.bco-dmo.org/id/dataset-parameter/767674.rdf
Name: Time
Units: unitless
Description: <p>Exact time (hours:minutes:seconds) when the in situ measurements were made. This time is an approximate water sampling time.</p>
http://lod.bco-dmo.org/id/dataset-parameter/767675.rdf
Name: Depth
Units: meters (m)
Description: <p>Exact depth (meters) where the in situ measurements were made.</p>
http://lod.bco-dmo.org/id/dataset-parameter/767676.rdf
Name: Temp
Units: degrees Celsius
Description: <p>In situ water temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/767677.rdf
Name: SpCond
Units: milli Siemens per centimeter
Description: <p>In situ specific conductivity</p>
http://lod.bco-dmo.org/id/dataset-parameter/767678.rdf
Name: Salinity
Units: parts per thousand
Description: <p>In situ salinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/767679.rdf
Name: DOsat
Units: percent
Description: <p>In situ dissolved oxygen saturation</p>
http://lod.bco-dmo.org/id/dataset-parameter/767680.rdf
Name: DOconc
Units: milligrams per liter
Description: <p>In situ dissolved oxygen concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/767681.rdf
Name: pH
Units: unitless
Description: <p>In situ pH.</p>
http://lod.bco-dmo.org/id/dataset-parameter/767682.rdf
Name: Turbidity
Units: NTU
Description: <p>In situ turbidity</p>
http://lod.bco-dmo.org/id/dataset-parameter/767683.rdf
Name: Fluorescence
Units: relative fluorescence units
Description: <p>In situ chlorophyll fluorescence</p>
http://lod.bco-dmo.org/id/dataset-parameter/767684.rdf
Name: Chlorophyll
Units: micrograms per liter
Description: <p>In situ chlorophyll concentration from fluorescence</p>
http://lod.bco-dmo.org/id/dataset-parameter/767685.rdf
Name: PARdepth
Units: meters (m)
Description: <p>Depth where PAR measurements were taken</p>
http://lod.bco-dmo.org/id/dataset-parameter/767686.rdf
Name: PAR1
Units: Einsteins/m2/s
Description: <p>Photosynthetically active radiation</p>
http://lod.bco-dmo.org/id/dataset-parameter/767687.rdf
Name: PAR2
Units: Einsteins/m2/s
Description: <p>Photosynthetically active radiation</p>
http://lod.bco-dmo.org/id/dataset-parameter/767688.rdf
Name: BarPress
Units: millimeters of mercury
Description: <p>Surface barometric pressure</p>
http://lod.bco-dmo.org/id/dataset-parameter/767689.rdf
Name: ODO
Units: unitless
Description: <p>Whether optical DO sensor used (Y or N)</p>
http://lod.bco-dmo.org/id/dataset-parameter/767690.rdf
Name: DOsat_calc
Units: unitless
Description: <p>Whether DO saturation value calculated in spreadsheet (Y or N)</p>
http://lod.bco-dmo.org/id/dataset-parameter/767691.rdf
Name: DOconc_calc
Units: unitless
Description: <p>Whether DO concentration value calculated in spreadsheet(Y or N)</p>
http://lod.bco-dmo.org/id/dataset-parameter/767692.rdf
Name: Notes
Units: unitless
Description: <p>notes</p>
http://lod.bco-dmo.org/id/dataset-parameter/767693.rdf
Name: ISO_DateTime
Units: unitless
Description: <p>Date and time combined into ISO8601 format</p>
http://lod.bco-dmo.org/id/dataset-parameter/767694.rdf
Name: Station_Description
Units: unitless
Description: <p>The physical location of the sampling station such as at or near a particular river marker; buoy; road or bridge. Lists other names that may also be used to refer to this station.</p>
http://lod.bco-dmo.org/id/dataset-parameter/767695.rdf
Name: km0
Units: kilometers (km)
Description: <p>The distance (in kilometers) of the sampling station from station 0.</p>
http://lod.bco-dmo.org/id/dataset-parameter/767696.rdf
Name: Lat
Units: decimal degrees
Description: <p>North latitude of station in decimal degrees</p>
http://lod.bco-dmo.org/id/dataset-parameter/767697.rdf
Name: Lon
Units: decimal degrees
Description: <p>West longitude of station in decimal degrees</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
2815525
https://darchive.mblwhoilibrary.org/bitstream/1912/24145/1/dataset-767641_neuse-river-estuary-ysi-profile__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.767641.1
download
onLine
dataset
<p>Bi-weekly water sampling and in situ measurements were performed at fixed sampling stations.&nbsp; In situ measurements were&nbsp;performed throughout the water column in 0.5 meter depth increments.&nbsp; Parameters measured include: temperature, salinity, specific conductivity, dissolved oxygen (DO), pH, chlorophyll fluorescence, photosynthetically active radiation (PAR), turbidity, and barometric pressure.</p>
<p>Methods<br />
Water sampling was conducted bi-weekly. When collection was split over two days, a single date was used based on the upstream or majority stations.</p>
<p>Stations were selected to cover the entire length of the Neuse River Estuary from Streets Ferry Bridge (Station 0) to the mouth of the estuary where it flows into Pamlico Sound.&nbsp; When possible, efforts were made to select locations with key stationary features (channel markers, buoys and land markers) to allow easy station identification in the field.<br />
<br />
Surface water samples were collected by submerging 10 liter high-density polyethylene containers just below the water surface or by filling the containers with surface water collected from bucket casts.&nbsp; Bottom water samples were collected with a horizontal plastic Van Dorn sampler. Starting December 2007, all samples collected with diaphragm pump and a weighted, marked hose. All containers were kept in dark coolers at ambient temperature during transport to the laboratory.&nbsp; All filtration was done within a few hours of collection and when conditions permitted, on board the research vessel.<br />
<br />
Prior to the 09/13/2000 sampling date, in situ measurements were performed at discrete depths using a Hydrolab Data Sonde 3 equipped with a multiprobe and SVR3 display logger.&nbsp; Beginning on the 09/13/2000 sampling date, in situ measurements were performed at discrete depths on the sunlit side of the research vessel using a Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System) equipped with a YSI conductivity/temperature probe (Model 6560), a YSI chlorophyll probe (Model 6025), a YSI pH probe (Model 6561 or 6566), a YSI pulsed dissolved oxygen probe (Model 6562), a self cleaning YSI turbidity probe (Model 6026 or 6136), and beginning on the 07/30/2003 sampling date, a flat Li-Cor sensor (UWQ-PAR 6067).&nbsp; The YSI sonde was coupled to a either a YSI 610 DM datalogger or a YSI 650 MDS Multi-parameter Display System datalogger.&nbsp; In situ measurements were performed at the surface (approximately 0.2 meters) and at the bottom of the water column (approximately 0.5 meters from the sediment layer).&nbsp; These data are included in the worksheet titled "NRE Dataset."&nbsp; In situ measurements were also performed throughout the water column in 0.5 meter depth increments.&nbsp; These data are included in the worksheet titled "NRE YSI Profiles."&nbsp; The data were stored on the datalogger and downloaded to Ecowin software upon return to the laboratory.<br />
<br />
Distance (in river kilometers) was calculated using ESRI ArcGIS software.&nbsp; Distances were calculated using projected station locations (North Carolina State Plane 1983 meters projection).&nbsp; Distances from station 0 through 30 (upper river stations) were measured along the main channel of the river. Distances from stations 30 to 180 were measured as straight lines between stations</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Processing Notes:<br />
-&nbsp;added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- appended the AMS station coordinate information</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
Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System)
Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System)
PI Supplied Instrument Name: Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System) PI Supplied Instrument Description:Beginning on the 09/13/2000 sampling date, in situ measurements were performed at discrete depths on the sunlit side of the research vessel using a Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System) equipped with a YSI conductivity/temperature probe (Model 6560), a YSI chlorophyll probe (Model 6025), a YSI pH probe (Model 6561 or 6566), a YSI pulsed dissolved oxygen probe (Model 6562), a self cleaning YSI turbidity probe (Model 6026 or 6136), and beginning on the 07/30/2003 sampling date, a flat Li-Cor sensor (UWQ-PAR 6067). Instrument Name: YSI Sonde 6-Series Instrument Short Name:YSI Sonde 6-Series Instrument Description: YSI 6-Series water quality sondes and sensors are instruments for environmental monitoring and long-term deployments. YSI datasondes accept multiple water quality sensors (i.e., they are multiparameter sondes). Sondes can measure temperature, conductivity, dissolved oxygen, depth, turbidity, and other water quality parameters. The 6-Series includes several models. More from YSI. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0737/