Dataset

Marine Mammal and Sea Turtle Sightings in the Vicinity of the Maryland Wind Energy Area 2013-2015

OBIS-SEAMAP Open in mapper Explore occurrences

Original provider: Virginia Aquarium & Marine Science Center Dataset credits: Virginia Aquarium Foundation - Susan G. Barco & Gwen G. Lockhart Centre for Research into Ecological and Environmental Monitoring, St. Andrews University - Louise Burt Riverhead Foundation for Marine Research & Preservation - Robert A. DiGiovanni Jr. & Allison M. DePerte Abstract: There have been no consistent, year-round marine mammal surveys of the ocean waters off of Maryland since the late 1970s (Scott et al. 1979). Current survey efforts by the National Marine Fisheries Service and partner agencies as part of the Atlantic Marine Assessment Program for Protected Species (AMAPPS) include broad scale surveys that may not provide sufficient data for the Maryland Wind Energy Area. Data on protected species presence and seasonality are needed to inform state and federal agencies responsible for permitting offshore energy development and construction (BOEM 2013). The goal of this two year effort was designed to provide fine scale data on presence of protected species, especially large whales, for Maryland’s wind development efforts.

Citation: Barco, S. 2015. Marine Mammal and Sea Turtle Sightings in the Vicinity of the Maryland Wind Energy Area 2013-2015. Version 1.0.0. Dataset published in OBIS-SEAMAP. https://doi.org/10.82144/5a386da3.

Published: October 08, 2025 at 02:57

URL: http://ipt.env.duke.edu/resource?r=zd_1340

Sue Barco
Virginia Aquarium Stranding Response

1,822
occurrence records
23
taxa
16
species

Taxa

Missing and invalid fields

Field Missing Invalid
coordinateUncertaintyInMeters 1,822
100.0%
maximumDepthInMeters 1,822
100.0%
minimumDepthInMeters 1,822
100.0%

Quality flags

The OBIS data quality flags are documented at https://github.com/iobis/obis-qc.

Flag Dropped Records
NO_DEPTH 1,822
100.0%
NO_ACCEPTED_NAME 84
4.6%
ON_LAND 1
0.1%

Measurement types

DNA derived data