Grabowski Jonathan H.

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Last Name
Grabowski
First Name
Jonathan H.
ORCID
0000-0003-4711-5481

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  • Dataset
    Oyster density of restored reef edge/interior in Quonochontaug Pond, RI in May 2019
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-11-02) Hughes, A. Randall ; Davenport, Theresa ; Grabowski, Jonathan
    This dataset represents oyster density measurements of restored reef edge/interior in Quonochontaug Pond, Rhode Island, USA determined by scuba divers in May of 2019. Reef relief and quadrat relief were calculated by subtracting water depth at each quadrat (quadrat relief) or the highest point on the reef (reef relief) from water depth on the adjacent unstructured bottom. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/881536
  • Dataset
    Database summarizing independent studies of nekton taxa associated with oyster reefs
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-03-25) Davenport, Theresa ; Hughes, A. Randall ; zu Ermgassen, Philine S.E. ; Grabowski, Jonathan
    This dataset summarizes independent studies of nekton taxa associated with oyster reefs off of the Atlantic and Gulf Coasts of the United States. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/845755
  • Dataset
    Daily temperature measurements on restored oyster reefs in Quonochontaug Pond, RI from July-August 2018 and September-October 2018
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-11-02) Hughes, A. Randall ; Davenport, Theresa ; Grabowski, Jonathan
    Daily temperature measurements were collected on restored oyster reefs in Quonochontaug Pond, Rhode Island, USA in the summer (July-August) 2018 and the fall (September-October) of 2018. Bottom water temperatures were collected hourly during tray deployment using one Onset Tidbit v2 HOBO temperature logger per block in summer 2018 and one logger at both the edge and interior of 3 reefs (one per block) in fall 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/881834
  • Dataset
    Faunal ID, size and biomass on oyster reefs in Quonochontaug Pond, RI from July-August 2018 and September-October 2018
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-11-02) Hughes, A. Randall ; Davenport, Theresa ; Grabowski, Jonathan
    This dataset contains results from experiments comparing reef-associated community colonization among oyster reef and sand habitats in Quonochontaug Pond, Rhode Island, USA. Experimental sampling trays were deployed and assigned to four experimental treatments. Trays were deployed by divers on SCUBA on July 10, 2018 (summer) and September 7, 2018 (fall) and were leveled with the surrounding substrate by carefully excavating the surrounding reef material (interior treatment) or sediment (edge, shell, and sand treatments). After 28-29 days, divers collected the trays and associated fauna were measured. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/881801
  • Article
    Predicting carbonate chemistry on the Northwest Atlantic Shelf using neural networks
    (American Geophysical Union, 2023-06-28) Lima, Ivan D. ; Wang, Zhaohui A. ; Cameron, Louise P. ; Grabowski, Jonathan H. ; Rheuban, Jennie E.
    The Northwest Atlantic Shelf (NAS) region has experienced accelerated warming, heatwaves, and is susceptible to ocean acidification, yet also suffers from a paucity of carbonate chemistry observations, particularly at depth. We address this critical data gap by developing three different neural network models to predict dissolved inorganic carbon (DIC) and total alkalinity (TA) in the NAS region from more readily available hydrographic and satellite data. The models predicted DIC with r2 between 0.913–0.963 and root mean square errors (RMSE) between 15.4–23.7 (μmol kg−1) and TA with r2 between 0.986–0.983 and RMSE between 9.0–10.4 (μmol kg−1) on an unseen test data set that was not used in training the models. Cross-validation analysis revealed that all models were insensitive to the choice of training data and had good generalization performance on unseen data. Uncertainty in DIC and TA were low (coefficients of variation 0.1%–1%). Compared with other predictive models of carbonate system variables in this region, a larger and more diverse data set with full seasonal coverage and a more sophisticated model architecture resulted in a robust predictive model with higher accuracy and precision across all seasons. We used one of the models to generate a reconstructed seasonal distribution of carbonate chemistry fields based on DIC and TA predictions that shows a clear seasonal progression and large spatial gradients consistent with observations. The distinct models will allow for a range of applications based on the predictor variables available and will be useful to understand and address ocean sustainability challenges.
  • Dataset
    Carbonate System data on Georges Bank from cruises occurring in May and September 2021
    (Woods Hole Oceanographic Institution, 2025-03-05) Titmuss, F. Dylan ; Rheuban, Jennie E. ; Cameron, Louise P. ; Grabowski, Jonathan H. ; Wang, Zhaohui Aleck
    These data are described in a study presenting the first high-resolution spatial analysis of carbonate chemistry on Georges Bank, a highly productive shallow bank located at the southeastern edge of the Gulf of Maine. Despite numerous studies on the hydrography, nutrient chemistry, and biology, regional carbonate chemistry remains unexplored, in particular for near-bottom conditions. Data included in this repository were collected during two cruises that occurred in May and October 2021. Data include temperature, salinity, pressure, dissolved oxygen, dissolved inorganic carbon, and total alkalinity. These data were used to identify multi-endmember mixing, and the manuscript describes the result of a Bayesian mixing model analysis that separates water mass mixing from other processes like net community production, air-sea exchange, and other biogeochemical processes/error. Data included in this repository were collected during two cruises that occurred in May and October 2021 on Georges Bank, in the Northwest Atlantic region. Data include surface and bottom water temperature, salinity, pressure, dissolved oxygen, dissolved inorganic carbon, and total alkalinity.