The ScholarShip

The ScholarShip is a digital archive for the scholarly output of the ECU community. Its mission is to capture, preserve, and make available the intellectual output of East Carolina University's faculty, staff, and students.

Communities & Collections in the ScholarShip

Select a community to browse its collections.

Now showing 1 - 8 of 8

Recent Submissions

Access status: Metadata only ,
Shoreline classification maps and ground truth data for the Neuse River Estuary, North Carolina
(2023-10-04)
The dataset offers 2020 digital data on shoreline classification in the Neuse River Estuary, part of the biologically rich but environmentally challenged Albemarle-Pamlico estuary. It details distinct land features, natural shoreline elements, and erosion control structures. The dataset is valuable for evaluating environmental policies, pinpointing restoration sites, and assessing erosion control impacts.
Access status: Metadata only ,
2022 RTK-GNSS data of Hatteras Island, NC
(2024-02-01)
The dataset consists of digital data collected using Real-time Kinematic Global Navigation Satellite System (RTK-GNSS) technology at Hatteras Island, North Carolina. This region is known for its diverse coastal habitats that provide a home to various plant and animal species. The dataset comprises elevation data (Z) referenced to NAVD88 using Geoid 18, accompanied by their respective X and Y positions relative to NAD83(2011) projected to State Plane North Carolina 3200. Furthermore, it provides information about the precision of these observations, both horizontally and vertically, expressed as one standard deviation. This dataset holds significant value for studying the impact of climate change on habitats in the region. It also supports the development of adaptive management strategies to preserve the diverse habitats within this area.
Access status: Metadata only ,
2023 Synchronized acoustic transmission loss and meteorological measurements in Wanchese, NC
(2024-10-27) Turo, Diego; Foeller, Jeffrey; Stengrim, Matthew; Vecchiotti, Andrea; Zhu, Zhen; Vignola, Joseph
This dataset contains a set of synchronized observations of local weather and single frequency acoustic transmission loss over several measurement sessions that occurred during June and July 2023. Specifically, an anchored acoustic source transmits single frequency tones to two seven-meter, seven-channels microphone arrays. The first array is positioned at the shore line such that sound travels only over water. The second array is positioned on the same path but inland by 370 meters. Wind speed profiles are measured by a 3D Doppler scanning LIDAR and temperature profiles are measured by two arrays of temperature sensors. The dataset includes excess attenuation, sound pressure level of the signal and sound pressure level of the noise. This data supports validation of atmospheric acoustic propagation models for the particularly challenging case of the littoral environment.
Access status: Metadata only ,
Roman Aqaba Project Stratigraphic Information
(2023-10-27)
This contains referential data tied to the Roman Aqaba Project Volumes 2 and 3 on the archaeological loci and their stratigraphic relationships by excavation trench.
Access status: Metadata only ,
Air Temperature Profile Measurements from 2023 to 2025 in Wanchese NC
(2025-04-11) R
"This dataset contains a long-term air temperature profile dataset from two arrays‚Äîone array was fixed to an offshore platform on the Croatan Sound (about 100 m offshore) and the other on a field of saltmarsh grass about 0.6 km away in Wanchese, NC. Measurements were taken between June 2023 and March 2025. The solar radiation shielded air temperature loggers were located at each one-meter interval from 1 m to 7 m above ground level (seven loggers per array). Also included in the dataset is the wind speed and direction provided by a Weather Flow station at the offshore location. Local sunrise and sunset times collected from the Astronomical Applications Department of the U.S. Naval Observatory are also provided. Air temperature was logged generally in two-minute intervals, and wind speed and direction in five-minute intervals. The dataset is provided as raw CSV files as well as in a combined and synchronized “.mat” filetype with ten-minute averaging. Missing data is noted. A variety supporting MATLAB scripting is provided to organize, synchronize, and relate the measured quantities in plots."