http://lod.bco-dmo.org/id/dataset/824599
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
2020-09-14
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Metabarcoding samples collected from surface and chlorophyll maximum depths from R/V Pt. Sur PS 18-09 Legs 01 and 03, Hurricane Harvey RAPID Response cruise (western Gulf of Mexico) September-October 2017.
2020-09-11
publication
2020-09-11
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-12-31
publication
https://doi.org/10.26008/1912/bco-dmo.824599.1
Lisa Campbell
Texas A&M University
principalInvestigator
Darren W. Henrichs
Texas A&M University
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: Campbell, L., Henrichs, D. W. (2020) Metabarcoding samples collected from surface and chlorophyll maximum depths from R/V Pt. Sur PS 18-09 Legs 01 and 03, Hurricane Harvey RAPID Response cruise (western Gulf of Mexico) September-October 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-09-14 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.824599.1 [access date]
HRR metatranscriptome Dataset Description: <p>Metabarcode samples collected from surface and chlorophyll maximum depths&nbsp;from R/V Pt. Sur PS 18-09 Legs 01 and 03, Hurricane Harvey RAPID Response cruise (western Gulf of Mexico) September-October 2017.</p> Methods and Sampling: <p>On each of 2 cruise legs 01 and 03, samples were collected at 7 stations (S01, S06, S11, S16, S21, SS and GI) from 2 depths [surface and chlorophyll maximum depth when possible; see HRR-bottle data] ) and triplicate 500-1000 ml samples were filtered and immediately fixed in RNALater. Triplicate samples from each station/depth were extracted with AllPrep DNA/RNA MiniKit (Qiagen, USA) following the manufacturer’s instructions. DNA concentration and quality were evaluated using a Nanodrop spectrophotometer (Thermo Fisher Scientific Inc, USA). All the samples extracted for DNA were normalized to 5ng/µl concentration for the amplicon library construction.</p>
<p>The V4 regions of the 18S rRNA genes were amplified using customized V4 primers (Bradley et al. 2016; Kozich et al. 2013). Library construction and amplicon sequencing was performed at Texas A&amp;M University Agrilife’s Genomics and Bioinformatics Services (https://www.txgen.tamu.edu) using custom designed primers (Bradley et al. 2016; Kozich et al. 2013). Output of MiSeq results as fasta files were deposited in GenBank under the project number PRJNA592369.</p>
<p>Leg 01 Station 01 sample was not collected.</p>
<p>Sampling locations:</p>
<table border="1" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td>
<p><strong>Sample ID</strong></p>
</td>
<td>
<p><strong>Station</strong></p>
</td>
<td>
<p><strong>Leg</strong></p>
</td>
<td>
<p><strong>Location&nbsp;&nbsp;&nbsp; </strong></p>
<p><strong>Lat <sup>o</sup>N/Long <sup>o</sup>W</strong></p>
</td>
</tr>
<tr>
<td>
<p>na</p>
</td>
<td>
<p>&nbsp;</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>27.2286 &nbsp;-97.2686</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_S01</strong></p>
</td>
<td>
<p>S01</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_S06</strong></p>
</td>
<td>
<p>S06</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>27.8358 &nbsp;-96.9874</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_S06</strong></p>
</td>
<td>
<p>S06</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_S11</strong></p>
</td>
<td>
<p>S11</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>28.2614&nbsp; -96.4129</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_S11</strong></p>
</td>
<td>
<p>S11</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_S16</strong></p>
</td>
<td>
<p>S16</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>28.5366 &nbsp;-95.8656</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_S16</strong></p>
</td>
<td>
<p>S16</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_S21</strong></p>
</td>
<td>
<p>S21</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>28.7644 &nbsp;-95.2978</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_S21</strong></p>
</td>
<td>
<p>S21</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_SS</strong></p>
</td>
<td>
<p>SS</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>28.9600 &nbsp;-95.0946</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_SS</strong></p>
</td>
<td>
<p>SS</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_GI</strong></p>
</td>
<td>
<p>GI</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>29.0649 &nbsp;-94.9000</p>
<p>&nbsp;</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_GI</strong></p>
</td>
<td>
<p>GI</p>
</td>
<td>
<p>3</p>
</td>
</tr>
</tbody>
</table>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1760620 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1760620
completed
Lisa Campbell
Texas A&M University
979-845-5706
3146 TAMU, Department of Oceanography Texas A&M University
College Station
Texas
77843
USA
lisacampbell@tamu.edu
pointOfContact
Darren W. Henrichs
Texas A&M University
979-845-5738
3146 TAMU, Department of Oceanography Texas A&M University
College Station
Texas
77843
USA
dhenrichs@tamu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Sequence_ID
Taxonomy
Similarity
Length
Mismatches
Gaps
Q_start
Q_end
R_start
R_end
e_value
Score
OTU
L1_S06
L1_S11
L1_S16
L1_S21
L1_SS
L1_GI
L3_S01
L3_S06
L3_S11
L3_S16
L3_S21
L3_SS
L3_GI
Illumina MiSeq
Nanodrop spectrophotometer (Thermo Fisher Scientific Inc, USA)
theme
None, User defined
sequence
taxon
No BCO-DMO term
count
featureType
BCO-DMO Standard Parameters
Automated DNA Sequencer
Niskin bottle
Spectrophotometer
instrument
BCO-DMO Standard Instruments
PS1809
service
Deployment Activity
Western Gulf of Mexico, Continental Shelf, Louisiana and Texas coasts
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.
RAPID: Hurricane Impact on Phytoplankton Community Dynamics and Metabolic Response
https://osprey.bco-dmo.org/project/715170
RAPID: Hurricane Impact on Phytoplankton Community Dynamics and Metabolic Response
<p><em>NSF Award Abstract:</em><br />
Hurricane Harvey is the strongest hurricane to hit the Texas coast in decades and the resulting tidal surges, flooding and terrestrial runoff have had a severe impact on the coastal ocean. The effects on the phytoplankton, the first link in the food chain, may be unprecedented. To determine how the phytoplankton community will respond to such drastic changes in salinity, nutrient inputs, and potential toxins, immediate and continuous sampling is the only way to fully capture the effects and to identify when conditions return to "normal". An automated, continuous phytoplankton imaging instrument that is deployed on the Texas coast records images of the phytoplankton and permits calculation of the abundance of different species. Together with molecular information on the genes that have been "turned on", or expressed, outcomes of this project will help determine the responses of individual types of phytoplankton. Extreme storms are expected to increase in frequency with future climate change, so the responses identified now will be valuable in predicting how such events will affect these primary producers, which in turn support most of the food webs in marine ecosystems, in the future.</p>
<p>High temporal resolution observations from the Imaging FlowCytobot (IFCB) have revealed that hurricanes in the Gulf of Mexico cause drastic changes in the phytoplankton community structure. The objectives of this RAPID project are: 1) to characterize the dynamics of the phytoplankton species in relation to the environmental variables along the Texas coast; 2) to assess the short and long-term changes in the phytoplankton community; and 3) to identify the strategies of the phytoplankton community for resource acquisition. To accomplish these objectives, this project will utilize IFCB time series to follow phytoplankton community structure during the recovery period from Hurricane Harvey. In addition, two RAPID response cruises (in late September and early October) to sample at 5 sites along a transect from Galveston to Port Aransas, TX. At each station, CTD profiles and water samples from surface and the chlorophyll maximum will be collected for nutrients, carbonate chemistry, and RNA sequencing for metatranscriptomic analysis. Metatranscriptomics can provide an indication of the metabolic strategies employed and functional relationships within the plankton community in response to changes in the environment. The advantage of a metatranscriptomic approach is that the entire molecular response to the environment is captured. So, while the response of phytoplankton to increased nutrient inputs from floodwater runoff is targeted, the responses to other environmental stresses (toxics, hypoxia, acidification) are also captured. Analyses of this time series using multivariate statistical techniques, such as principal component analysis (PCA), and network analysis, a powerful technique for identifying potential interactions among taxa, will provide insights on the environmental factors and metabolic responses structuring the community during the aftermath of the hurricane.</p>
<p><strong>Related data from the The Texas Observatory for Algal Succession Time-Series (TOAST) can be found at the following: </strong><a href="https://toast.tamu.edu/timeline?dataset=HRR_Cruise" target="_blank">https://toast.tamu.edu/timeline?dataset=HRR_Cruise</a></p>
HRR
largerWorkCitation
project
eng; USA
biota
oceans
Western Gulf of Mexico, Continental Shelf, Louisiana and Texas coasts
-97.268
-94.9
27.2286
29.0649
2017-09-23
2017-10-01
Texas coast
0
BCO-DMO catalogue of parameters from Metabarcoding samples collected from surface and chlorophyll maximum depths from R/V Pt. Sur PS 18-09 Legs 01 and 03, Hurricane Harvey RAPID Response cruise (western Gulf of Mexico) September-October 2017.
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/825110.rdf
Name: Sequence_ID
Units: Unitless
Description: <p>OTU sequence generated from the HRR data</p>
http://lod.bco-dmo.org/id/dataset-parameter/825111.rdf
Name: Taxonomy
Units: Unitless
Description: <p>Taxonomic annotation of the OTU</p>
http://lod.bco-dmo.org/id/dataset-parameter/825112.rdf
Name: Similarity
Units: Unitless
Description: <p>percentage of identical matches</p>
http://lod.bco-dmo.org/id/dataset-parameter/825113.rdf
Name: Length
Units: Unitless
Description: <p>alignment length (sequence overlap)</p>
http://lod.bco-dmo.org/id/dataset-parameter/825114.rdf
Name: Mismatches
Units: Unitless
Description: <p>number of mismatches</p>
http://lod.bco-dmo.org/id/dataset-parameter/825115.rdf
Name: Gaps
Units: Unitless
Description: <p>number of gap openings</p>
http://lod.bco-dmo.org/id/dataset-parameter/825116.rdf
Name: Q_start
Units: Unitless
Description: <p>start of alignment in query</p>
http://lod.bco-dmo.org/id/dataset-parameter/825117.rdf
Name: Q_end
Units: Unitless
Description: <p>end of alignment in query</p>
http://lod.bco-dmo.org/id/dataset-parameter/825118.rdf
Name: R_start
Units: Unitless
Description: <p>start of alignment in reference sequence</p>
http://lod.bco-dmo.org/id/dataset-parameter/825119.rdf
Name: R_end
Units: Unitless
Description: <p>end of alignment in reference sequence</p>
http://lod.bco-dmo.org/id/dataset-parameter/825120.rdf
Name: e_value
Units: Unitless
Description: <p>number of expected hits of similar quality</p>
http://lod.bco-dmo.org/id/dataset-parameter/825121.rdf
Name: Score
Units: Unitless
Description: <p>Bit-score</p>
http://lod.bco-dmo.org/id/dataset-parameter/825122.rdf
Name: OTU
Units: Unitless
Description: <p>representative OTUs</p>
http://lod.bco-dmo.org/id/dataset-parameter/825123.rdf
Name: L1_S06
Units: Unitless
Description: <p>number of copies of the OTU at Leg 1 Station 06</p>
http://lod.bco-dmo.org/id/dataset-parameter/825124.rdf
Name: L1_S11
Units: Unitless
Description: <p>number of copies of the OTU at Leg 1 Station 11</p>
http://lod.bco-dmo.org/id/dataset-parameter/825125.rdf
Name: L1_S16
Units: Unitless
Description: <p>number of copies of the OTU at Leg 1 Station 16</p>
http://lod.bco-dmo.org/id/dataset-parameter/825126.rdf
Name: L1_S21
Units: Unitless
Description: <p>number of copies of the OTU at Leg 1 Station 21</p>
http://lod.bco-dmo.org/id/dataset-parameter/825127.rdf
Name: L1_SS
Units: Unitless
Description: <p>number of copies of the OTU at Leg 1 Surfside station SS</p>
http://lod.bco-dmo.org/id/dataset-parameter/825128.rdf
Name: L1_GI
Units: Unitless
Description: <p>number of copies of the OTU at Leg 1 Galveston Island station GI</p>
http://lod.bco-dmo.org/id/dataset-parameter/825129.rdf
Name: L3_S01
Units: Unitless
Description: <p>number of copies of the OTU at Leg 3 Station 01</p>
http://lod.bco-dmo.org/id/dataset-parameter/825130.rdf
Name: L3_S06
Units: Unitless
Description: <p>number of copies of the OTU at Leg 3 Station 06</p>
http://lod.bco-dmo.org/id/dataset-parameter/825131.rdf
Name: L3_S11
Units: Unitless
Description: <p>number of copies of the OTU at Leg 3 Station 11</p>
http://lod.bco-dmo.org/id/dataset-parameter/825132.rdf
Name: L3_S16
Units: Unitless
Description: <p>number of copies of the OTU at Leg 3 Station 16</p>
http://lod.bco-dmo.org/id/dataset-parameter/825133.rdf
Name: L3_S21
Units: Unitless
Description: <p>number of copies of the OTU at Leg 3 Station 21</p>
http://lod.bco-dmo.org/id/dataset-parameter/825134.rdf
Name: L3_SS
Units: Unitless
Description: <p>number of copies of the OTU at Leg 3 Surfside station SS</p>
http://lod.bco-dmo.org/id/dataset-parameter/825135.rdf
Name: L3_GI
Units: Unitless
Description: <p>number of copies of the OTU at Leg 3 Galveston Island station GI</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
1889205
https://darchive.mblwhoilibrary.org/bitstream/1912/26519/1/dataset-824599_hrr-metabarcoding__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.824599.1
download
onLine
dataset
<p>On each of 2 cruise legs 01 and 03, samples were collected at 7 stations (S01, S06, S11, S16, S21, SS and GI) from 2 depths [surface and chlorophyll maximum depth when possible; see HRR-bottle data] ) and triplicate 500-1000 ml samples were filtered and immediately fixed in RNALater. Triplicate samples from each station/depth were extracted with AllPrep DNA/RNA MiniKit (Qiagen, USA) following the manufacturer’s instructions. DNA concentration and quality were evaluated using a Nanodrop spectrophotometer (Thermo Fisher Scientific Inc, USA). All the samples extracted for DNA were normalized to 5ng/µl concentration for the amplicon library construction.</p>
<p>The V4 regions of the 18S rRNA genes were amplified using customized V4 primers (Bradley et al. 2016; Kozich et al. 2013). Library construction and amplicon sequencing was performed at Texas A&amp;M University Agrilife’s Genomics and Bioinformatics Services (https://www.txgen.tamu.edu) using custom designed primers (Bradley et al. 2016; Kozich et al. 2013). Output of MiSeq results as fasta files were deposited in GenBank under the project number PRJNA592369.</p>
<p>Leg 01 Station 01 sample was not collected.</p>
<p>Sampling locations:</p>
<table border="1" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td>
<p><strong>Sample ID</strong></p>
</td>
<td>
<p><strong>Station</strong></p>
</td>
<td>
<p><strong>Leg</strong></p>
</td>
<td>
<p><strong>Location&nbsp;&nbsp;&nbsp; </strong></p>
<p><strong>Lat <sup>o</sup>N/Long <sup>o</sup>W</strong></p>
</td>
</tr>
<tr>
<td>
<p>na</p>
</td>
<td>
<p>&nbsp;</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>27.2286 &nbsp;-97.2686</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_S01</strong></p>
</td>
<td>
<p>S01</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_S06</strong></p>
</td>
<td>
<p>S06</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>27.8358 &nbsp;-96.9874</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_S06</strong></p>
</td>
<td>
<p>S06</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_S11</strong></p>
</td>
<td>
<p>S11</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>28.2614&nbsp; -96.4129</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_S11</strong></p>
</td>
<td>
<p>S11</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_S16</strong></p>
</td>
<td>
<p>S16</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>28.5366 &nbsp;-95.8656</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_S16</strong></p>
</td>
<td>
<p>S16</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_S21</strong></p>
</td>
<td>
<p>S21</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>28.7644 &nbsp;-95.2978</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_S21</strong></p>
</td>
<td>
<p>S21</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_SS</strong></p>
</td>
<td>
<p>SS</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>28.9600 &nbsp;-95.0946</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_SS</strong></p>
</td>
<td>
<p>SS</p>
</td>
<td>
<p>3</p>
</td>
</tr>
<tr>
<td>
<p><strong>L1_GI</strong></p>
</td>
<td>
<p>GI</p>
</td>
<td>
<p>1</p>
</td>
<td rowspan="2">
<p>29.0649 &nbsp;-94.9000</p>
<p>&nbsp;</p>
</td>
</tr>
<tr>
<td>
<p><strong>L3_GI</strong></p>
</td>
<td>
<p>GI</p>
</td>
<td>
<p>3</p>
</td>
</tr>
</tbody>
</table>
Specified by the Principal Investigator(s)
<p>Fastq files for all 13 station samples were quality checked using FastQC. Illumina paired end reads (2x300 bp) were processed in mothur v1.39.0 (Schloss et al. 2009). Contigs were assembled and pre-cleaned processed for homopolymers and ambiguities. These sequences were then screened for chimera using UCHIME in denovo mode (Edgar et al. 2011). Sequences were de-noised by pre-clustering at 1 bp per 100 bp and generate unique sequence for taxonomic annotation and characterization. Sequences less than three were eluted out in our study and rest OTUs were characterized using BLAST search using PR2 database v4.12.0. The BLAST analysis used a assignment approach with similarity was ≥ 90% and query coverage was ≥ 70% against the reference sequence. Any OTU that did not compile with this criterion was not used in this study. The following thresholds for identity with BLAST results were used for taxonomic assignment clustering: species (97%), genus (94%), family (93%), class (92%) and order (90%).</p>
<p>HTS-metabarcoding procedures were followed as mentioned in Gaonkar et al., (2020). Only HTS metabarcodes haplotypes (OTUs) with reads more than 3 allocated to Chaetocerotaceae (Chaetoceros and Bacteriastrum) were used with a selection criterion of ≥ 90% similarity and ≥ 70% similarity after BLAST analysis using the protistan PR2 dataset. A total of 206 (n=82881) OTUs annotated as Chaetocerotacean haplotypes were obtained from the HRR dataset. See figures 1 and 2 in the Supplemental Files section.</p>
<p><strong>BCO-DMO Processing Notes:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
-&nbsp;modified parameter names to conform with BCO-DMO naming conventions</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
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Illumina MiSeq
Illumina MiSeq
PI Supplied Instrument Name: Illumina MiSeq PI Supplied Instrument Description:Used to obtain DNA sequences. See https://www.illumina.com/systems/sequencing-platforms/miseq.html Instrument Name: Automated DNA Sequencer Instrument Short Name:Automated Sequencer Instrument Description: A DNA sequencer is an instrument that determines the order of deoxynucleotides in deoxyribonucleic acid sequences.
PI Supplied Instrument Name: PI Supplied Instrument Description:Used to collect samples Instrument Name: Niskin bottle Instrument Short Name:Niskin bottle Instrument Description: A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/
Nanodrop spectrophotometer (Thermo Fisher Scientific Inc, USA)
Nanodrop spectrophotometer (Thermo Fisher Scientific Inc, USA)
PI Supplied Instrument Name: Nanodrop spectrophotometer (Thermo Fisher Scientific Inc, USA) PI Supplied Instrument Description:Used for DNA concentration and quality evaluation. Instrument Name: Spectrophotometer Instrument Short Name:Spectrophotometer Instrument Description: An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB20/
Cruise: PS1809
PS1809
R/V Point Sur
Community Standard Description
International Council for the Exploration of the Sea
R/V Point Sur
vessel
PS1809
Lisa Campbell
Texas A&M University
R/V Point Sur
Community Standard Description
International Council for the Exploration of the Sea
R/V Point Sur
vessel