Automated Author Profile

Zaremba, Nicholas

zaremba_nicholas

Current S-Index

10.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.8

Average Dataset Index per dataset

Total Datasets

6

Total datasets for this author

Average FAIR Score

90.4%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

First arrival tomography-derived velocity models for Oneida Lake, New York (Version: 1)

The data set contains velocity models derived from first arrival seismic tomography methods applied to a seismic survey collected for reflection seismic purposes. The original data set was collected as a reflection seismic survey and therefore the data set did not contain forward and reverse shots. Additionally, unlike most seismic tomography surveys, the seismic source and the hydrophones or receivers remained at a constant distance (e.g. the source was always the same distance from channel 1 or channel 144). The source and streamer (array of receivers) were towed behind the vessel and the source or air guns were fired every 6.25 meters. Shot gathers in SEG-Y format were imported into the Geogiga DW TOMO software in 10 shot increments with spacings of ~62.5 meters. This provided a spatially-dense data set for every line, with overlapping ray paths. This software uses ray tracing or the shortest path method in the forward modeling process (Moser, 1991). The forward model or initial velocity model is a sub-surface velocity model defined by the user. The intent of the tomography-derived velocity models was to independently confirm results from seismic reflection data, as well as provide information on the depth to basement in areas where reflection data failed to image the sub-surface stratigraphy. Therefore, a priori data from the reflection data set was limited in the tomography inversion process. The initial model contained a surface velocity of 1350 m/s and increased to 1600 m/s over a depth of 15 meters. Below 15 meters the model increased by 390 m/s every 1 meter to reach a velocity of 5500 meters at 25 meters depth. The same forward model was used for every line, and each line was subjected to 9 iterations with a maximum disturbance of 75%. The inversion process used an algorithm adapted from Toomey et al. (1994) which accounts for previous knowledge such as the prior iteration, smoothing parameters, and travel time uncertainties which are established by the user. Following careful parameter testing, the smoothing parameters chosen for use in the algorithm were 3.75 m for the vertical smoothing, 15.5 m for the horizontal smoothing, and a picking uncertainty of 1 ms. The velocity models are in ASCII text file format and each text file is named after the corresponding seismic reflection profile. In the text files, the first column is depth in meters, the second column is velocity in meters/second, the third column is UTM northing and the fourth is UTM easting (both in meters, UTM zone 18N). A total of 13 lines were processed using the first arrival tomography technique. It should be noted that data coverage or ray path density is much lower for the first few hundred meters of each line. Therefore, the beginning and end of each velocity model should be examined carefully and likely removed from the survey. The data files were generated as part of a project called P2C2: A High Resolution Paleoclimate Archive of Termination I in Oneida Lake and Glacial Lake Iroquois Sediments. Funding was provided through NSF grant EAR18-04460 to Syracuse University.

Authors

  • Zaremba, Nicholas ;
  • Scholz, Christopher
1 Citation0 Mentions92% FAIR2.6 Dataset Index
10.26022/ieda/331043July 2022

Raw 2-D multichannel seismic reflection SEG-D shot data from Oneida Lake, New York (2019) (Version: 1)

In July 2019, approximately 217 km of 2-D multichannel seismic reflection data were collected along 27 profiles on Oneida Lake, New York using a 120 channel Seamux™ solid-towed array marine streamer with a 3.125 m group interval and a maximum offset of ~400 meters. Data were recorded in SEG-D format on a NTRS2 recording system. The seismic source was a 4x10 in3 Bolt 2800 LLX airgun array and was towed at ~1 meter depth to allow for venting of seismic source air bubbles. Gun pressures varied from 1500 to 2000 PSI. Air guns were fired every 6.25 m distance using two high resolution (Trimble) GPS receivers for navigation. This geometry provided 30-fold seismic coverage with a common midpoint (CMP) interval of 1.56 m. Record length is 2 seconds and the sample rate is 0.25 ms. These raw field shot data files are in SEG-D format, bundled by seismic line. The files were acquired as part of a project called P2C2: A High Resolution Paleoclimate Archive of Termination I in Oneida Lake and Glacial Lake Iroquois Sediments. Funding was provided through NSF grant EAR18-04460 to Syracuse University.

Authors

  • Scholz, Christopher ;
  • Zaremba, Nicholas
0 Citations0 Mentions88% FAIR1.9 Dataset Index
10.26022/ieda/330883March 2022

Navigation data for processed 2-D multichannel seismic reflection data from Oneida Lake, New York (2019) (Version: 1)

These seismic navigation data were collected on Oneida Lake, New York, in July of 2019 during MCS data acquisition. Two high-resolution Trimble GPS receivers mounted on the port bow provided the location of each FFID or shot point. This information combined with the ship/survey geometry, which included the relative location of the airguns and midpoint of all streamer channels, allowed for calculation of the approximate X and Y coordinates in UTM 18N of the air guns and the midpoint for streamer channel 1 (1st channel) through channel 120 (last channel). The navigation data as well as the geometry of the seismic survey were loaded into Landmark SeisSpace/ProMAX software which produced the X and Y coordinates in UTM 18N for each CDP (common depth point). The data files are in ASCII text format and contain the line name, CDP number, and the UTM 18N X,Y coordinates in meters. The files were generated as part of a project called P2C2: A High-Resolution Paleoclimate Archive of Termination I in Oneida Lake and Glacial Lake Iroquois Sediments. Funding was provided through NSF grant EAR18-04460 to Syracuse University.

Authors

  • Scholz, Christopher ;
  • Zaremba, Nicholas
0 Citations0 Mentions92% FAIR2.0 Dataset Index
10.26022/ieda/330834January 2022

Processed 2-D multichannel seismic reflection data from Oneida Lake, New York (2019) (Version: 1)

In July 2019, approximately 217 km of 2-D multichannel seismic reflection data were collected along 27 profiles on Oneida Lake, New York using a 120 channel Seamux™ solid-towed array marine streamer with a 3.125 m group interval and a maximum offset of ~400 meters. Data were originally recorded in SEG-D format on a NTRS2 recording system. Navigational data and ancillary data (ship speed, depth, etc.) were fed into the external header of each field file. The seismic source was a 4x10 in3 Bolt 2800 LLX airgun array and was towed at ~1 meter depth to allow for venting of seismic source air bubbles. Gun pressures varied from 1500 to 2000 PSI. Air guns were fired every 6.25 m distance using two high resolution (Trimble) GPS receivers for navigation. This geometry provided 30-fold seismic coverage with a common midpoint (CMP) interval of 1.56 m. Record length is 2 seconds and the sample rate is 0.25 ms. The following processing steps were applied to the dataset using SeisSpace/ProMAX Software. Data were initially reviewed in shot mode and noisy traces were edited. Geometry was applied using source and receiver offsets with group and shot intervals, and data were sorted into the CMP domain. Stacking velocities were picked using a combination of velocity semblance plots and constant velocity stacks applied to CMP supergathers. For the constant velocity stacks, supergathers were constructed from 51 CMPs and analyzed in increments of 100 CMPs. Once time-velocity pairs were selected, normal moveout was applied to the full profile data set and the data were stacked.Nested Ormsby bandpass filters of 110-135-1500-1700 Hz and 40-70-1100-1300 Hz were applied to the stacked datasets. Ormsby filter frequencies were picked by executing a careful parameter test where frequencies were altered incrementally until the ideal filter was produced. A post-stack F-K filter was applied to remove steeply dipping noise, and a careful comparison of F-K filtered profiles and raw profiles was conducted. A post-stack Kirchhoff time migration with a 200 ms bottom taper was applied using the RMS stacking velocities picked for each seismic profile. The data files are in SEG-Y format and were generated as part of a project called P2C2: A High Resolution Paleoclimate Archive of Termination I in Oneida Lake and Glacial Lake Iroquois Sediments. Funding was provided through NSF grant EAR18-04460 to Syracuse University.

Authors

  • Scholz, Christopher ;
  • Zaremba, Nicholas
0 Citations0 Mentions88% FAIR2.2 Dataset Index
10.26022/ieda/330835January 2022

Seismic data processing work flow documents for Oneida Lake, New York (2019) (Version: 1)

The seismic data processing history of each seismic line from the 2019 Oneida Lake survey is given here in PDF format. The documents include the parameters used for the bandpass filters, F-K filter, and Kirchhoff time Migration, and the order in which these operations were conducted for each line. The processing history was produced using Landmark SeisSpace/ProMAX software. The files were generated as part of a project called P2C2: A High Resolution Paleoclimate Archive of Termination I in Oneida Lake and Glacial Lake Iroquois Sediments. Funding was provided through NSF grant EAR18-04460 to Syracuse University.

Authors

  • Scholz, Christopher ;
  • Zaremba, Nicholas
0 Citations0 Mentions88% FAIR1.0 Dataset Index
10.26022/ieda/330837January 2022

Bulk Magnetic Susceptibility Data from cores acquired in Pamlico Sound, North Carolina

These bulk magnetic susceptibility data were measured on cores from Pamlico Sound, North Carolina with a Kappabridge (Investigators: Dr. David Mallinson, Nicholas Zaremba). The data files are in Text File (ASCII) format and include volume susceptibility and depth in meters below core top. Funding was provided by NSF grant OCE11-30843, A Multidisciplinary Investigation of Coastal System Response to Sea-Level Rise, Climate Dynamics, and Geomorphic Change. This data was cited by Zaremba et al., 2016.

Authors

  • Mallinson, David ;
  • Zaremba, Nicholas
0 Citations0 Mentions92% FAIR1.0 Dataset Index
10.1594/ieda/323883February 2017