Find research datasets worth reusing

Mid-Atlantic coastal and Chesapeake Bay outflow optical measurements

Measurements made along the Mid-Atlantic coastal and Chesapeake Bay outflow regions in 2005 and 2006.

Water quality measurements in the Chesapeake Bay

Water quality measurements taken in the Chesapeake Bay region of the United States as a joint effort between NASA GSFC and Johns Hopkins University.

Old Dominion University (ODU) - Chesapeake Bay Mouth (CBM) measurements

Measurements made of the Chesapeake Bay Mouth (CBM) by Old Dominion University (ODU) between 2004 and 2006.

Chesapeake Bay Helicopter

Data will be provided for above water radiance measurements in the hyperspectral and multi-spectral polarization modes using a system containing a hyperspectral imager (Cubert, Germany) and multi-spectral polarimetric imaging camera (Teledyne Dalsa) with additional color filters. For this experiment data will be provided for the system installed on the helicopter at 10 stations in Aug 2022 over Chesapeake Bay at 4 heights from 60 to 750 m. Complimentary data from handheld GER spectroradiometer and ac-s flowthrough measurements near same stations with 1-2 hours delay from the boat will be also provided. Similar data were submitted to SeaBASS as a part of the VIIRS validation experiment and can be found under the DOI: 10.5067/SeaBASS/VIIRS_VALIDATION/DATA001.

Aerosol Characterization Experiment (ACE) for the in-land Chesapeake Bay region

Measurements made as a part of the Aerosol Characterization Experiment (ACE) for the in-land Chesapeake Bay region between 2002 and 2003.

Small Grant for Exploratory Research (SGER) program to study the Chesapeake Bay in 2003

Measurements sponsored by the NSF Small Grant for Exploratory Research (SGER) program to study the Chesapeake Bay in 2003.

Supporting Shellfish Aquaculture in the Chesapeake Bay using Artificial Intelligence to Detect Poor Water Quality through Field Sampling and Remote Sensing

We are collecting and analyzing biological, chemical, and physical variables in and above the water at target sites and in the lab, looking for hyperspectral proxies that covarying with pollutants. This project is applying an AI model to address water quality, using datasets collected around the Bay in combination with remotely sensed data during targeted field work to support the need to more effectively sort through disparate data sets to identify areas of poor water quality that result in shellfish bed closure.

Supporting Shellfish Aquaculture in the Chesapeake Bay using Artificial Intelligence to Detect Poor Water Quality through Sampling and Remote Sensing

This use-inspired NASA AIST project collects biological, chemical, and physical variables in and above the water at Chesapeake Bay sites for analysis within the lab. These ground-truth data are then used for data labeling, in combination with remotely sensed data, within a machine learning model trained to identify water quality challenges of resource managers that could result in shellfish bed closures, for example.

Fluorescence measurements along Chesapeake Bay and Delaware coast

Measurements made in the Chesapeake Bay and off the Delaware coast in 2008.

Chesapeake Bay Plume optical measurements

Measurements taken at the mouth of the Chesapeake Bay during a plume event.

2004 Measurements made in the Chesapeake Bay

Measurements made in the Chesapeake Bay in 2004.

Chesapeake Bay measurements during October 2009

Measurements made in the Chesapeake Bay in October 2009.