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63 results for “Chesapeake Bay”
Figure 3. Paraprionospio alata collected from Chesapeake Bay. A, neuropodial limbate capillary from setiger 8 in A revision of the genus Paraprionospio Caullery (Polychaeta: Spionidae)
Figure 3. Paraprionospio alata collected from Chesapeake Bay. A, neuropodial limbate capillary from setiger 8; B, neuropodial hooded hook from setiger 11; C, neuropodial non-limbate capillary from setiger 9; D, sabre seta from setiger 11; E, notopodial hooded hook from posterior fragment.
Fig. 11. Ulnae. Incomplete L in New Miocene Monachinae From The Western Shore Of The Chesapeake Bay (Maryland, Usa)
Fig. 11. Ulnae. Incomplete L. ulna of Terranectes magnus (CMM-V-4707) in A — lateral; B — medial and C — cranial views. Incomplete L. immature ulna of T. parvus (CMM-V-4690) in D — lateral; E — medial and F — cranial views. Scale bar equals 5 cm / 2 inches.
Fig. 10 in New Miocene Monachinae From The Western Shore Of The Chesapeake Bay (Maryland, Usa)
Fig. 10. Tibiae. Right tibia of Leptophoca lenis from Maryland, USA (USNM 175578) in A — caudal; B — cranial; and C — proximal views. Incomplete L. tibia of Terranectes magnus (CMM-V-4702) in D — cranial; E — caudal and F — proximal views; and incomplete R. T. parvus tibia (CMM-V-4778) in G — caudal; H — cranial and I — proximal views.
Fig. 9 in New Miocene Monachinae From The Western Shore Of The Chesapeake Bay (Maryland, Usa)
Fig. 9. Femora. Femora of Leptophoca in dorsal views. L. amphiatlantica: A — male, (R., reversed; USNM 23227) from Maryland, USA; B — female, (L., USNM 3211926) from Maryland, USA; C — Male, (L., MAB 2129) from Liessel, southeastern Netherlands; D — L. lenis (R., reversed; USNM 263648) from Maryland, USA. Incomplete femur of Terranectes magnus (CMMV-4706) in E — dorsal and F — ventral views. T. parvus femur (holotype, CMM-V-4709) in G — dorsal; H — ventral and I — lateral views.
Chesapeake Bay and Baltic Sea phytoplankton sample metadata
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Turbidity of a Salt Marsh within the Chesapeake Bay, VA, USA, 2016-2017
We measured turbidity along a transect from channel to marsh interior from December 2015 to January 2017 at a salt mash at the mouth of the York River in the Chesapeake Bay, VA, USA. We measured turbidity (NTU) with three optical back scatter sensors (YSI EXO) to in a shore normal transect, with one in the channel and two on the marsh surface at 1m from the marsh edge and 12m from the marsh edge, respectively. The sensors measured every 15 minutes and were equipped with automatic wipers to reduce biofouling. Following retrieval, the turbidity time series data was filtered to remove any erroneous points and times when the sensors were fouled or exposed (Coleman et al. 2020). Turbidity was then calibrated to suspended sediment concentration with local sediment resulting in the calibration equation SSC (mg/L) =1.667*Sensor Turbidity (NTU)
Carbon stocks in forests transitioning to salt marsh at four sites in the Chesapeake Bay region, 2019
This data set contains measurements of carbon stocks across five vegetation zones that comprise the marsh-forest boundary at sites within Virginia (Goodwin Island and Phillips Creek) and Maryland (Monie Bay and Moneystump/Blackwater). Carbon stocks were measured from soil samples and allometric measurements collected in June-July of 2019. Soil salinity, elevation, and GPS location data are similarly included in this data set.
Relative roles of sediment transport and localized erosion on phosphorus load in the lower Susquehanna River and its mouth in the Chesapeake Bay, USA
<p>Data set includes average wind and wave conditions for the mouth of the Susquehanna River that were used to calculate normal and storm conditions; turbidity measurements at each site; mass of particulate matter from water column and erosion experiments; inorganic phosphate from sequential extraction of particulate matter in water column, sediment, and erosion experiments; and δ<sup>15</sup>N, δ<sup>13</sup>C, and C:N ratios of particulate matter from the water column and from erosion experiments.</p>
VIIRS gap-free satellite data for Chla in Chesapeake Bay from 2011 to 2018
<p>The uploaded data are daily and 7-day blended VIIRS satellite Chla data for the Chesapeake Bay. </p> <p>Data are used by the publication "Chlorophyll-a in Chesapeake Bay based on VIIRS satellite data: spatiotemporal variability and prediction with machine learning" submitted to Ocean Modelling</p> <p> </p>
Morphometrics and nutrient concentration of eastern oysters (Crassostrea virginica) sampled from Chesapeake Bay, USA
<p><span><strong>Acknowledgements</strong></span> Ward Slacum and Olivia Caretti from the Oyster Recovery Partnership for providing the support and resources to compile the initial oyster BMP dataset and maintenance. </p> <p><strong><u>Background Information</u></strong></p> <p>The Chesapeake Bay Program (CBP) approved the use of eastern oyster (<em>Crassostrea virginica</em>) aquaculture as a nitrogen and phosphorus reduction best management practice in December 2016. The CBP decision was based on the recommendations of the Oyster Best Management Practice Expert Panel. The approved BMP report, “Panel Recommendations on the Oyster BMP Nutrient and Suspended Sediment Reduction Effectiveness Determination Decision Framework and Nitrogen and Phosphorus Assimilation in Oyster Tissue Reduction Effectiveness for Oyster Aquaculture Practices” is available here: <a href="https://d18lev1ok5leia.cloudfront.net/chesapeakebay/documents/Oyster_BMP_1st_Report_Final_Approved_2016-12-19.pdf">https://d18lev1ok5leia.cloudfront.net/chesapeakebay/documents/Oyster_BMP_1st_Report_Final_Approved_2016-12-19.pdf</a></p> <p>And a summary fact sheet about the report and the panel’s findings is available here: <a href="https://oysterrecovery.org/wp-content/uploads/June_2018-FINAL-bmp-fact-sheet-1.pdf">https://oysterrecovery.org/wp-content/uploads/June_2018-FINAL-bmp-fact-sheet-1.pdf</a></p> <p>The panel’s recommendations were based on an analysis of two datasets: 1) available literature for eastern oyster tissue nitrogen and phosphorus concentrations (%) across the Northeast region of the United States, and 2) available literature for the relationship between shell height (mm) vs. tissue dry weight (g) for eastern oysters sampled within Chesapeake Bay, USA. The nitrogen and phosphorus concentration datasets were relatively small, and the data were published in the report. The dataset describing the relationship between oyster shell height vs. tissue dry weight was much larger (n = 6,816). The report contains summary statistics and visual representations of the data, but the data themselves were not publicly released.</p> <p>A second report was released by the Oyster Best Management Practice Expert Panel in 2023, with additional analysis of an expanded dataset for the relationship between oyster shell height vs. tissue dry weight (n = 10,786) and a new dataset for the relationship between oyster shell height vs. shell dry weight to support the development of an oyster restoration BMP. The second BMP report, “Nitrogen and Phosphorus Reduction Associated with Harvest of Hatchery-Produced Oysters and Reef Restoration: Assimilation and Enhanced Denitrification” is available here:</p> <p><a href="https://d18lev1ok5leia.cloudfront.net/chesapeakebay/documents/Oyster-BMP-Second-Report_Approved_with_Minutes.pdf">https://d18lev1ok5leia.cloudfront.net/chesapeakebay/documents/Oyster-BMP-Second-Report_Approved_with_Minutes.pdf</a></p> <p>The second report contains summary statistics and visual representations of the data, but the data themselves were not publicly released.</p> <p><strong><em><u>Data Description</u></em></strong></p> <p>This repository contains 77% of the data (n = 8,395) used by the Chesapeake Bay Program’s Oyster Best Management Practice Expert Panel to develop its recommendations for both the 2016 first report and the 2023 second report. Some of the data in this repository were previously published in the peer-reviewed literature as summary statistics, but the raw data were not archived. The remaining data are either not currently available or are published in the gray literature. Two datasets that were used in the Expert Panel analysis are not included in this repository, as the data are unpublished with the data owners intending to publish these data in the future.</p> <p>The repository is organized with individual oyster samples as rows and a combination of numerical and categorical information as columns. Each row/sample in the repository contains data on oyster shell height (mm) and oyster dry weight (g), data source, and sample collection location information. Location information is presented across columns with different levels of spatial resolution. This repository also contains additional information provided by scientists when available, such as nitrogen, carbon, or phosphorus concentration, details about the oyster source and growth conditions, and sampling time (e.g., season/date/year).</p>
A case study of the Chesapeake Bay using the CAFE framework
<p>This file includes nutrient budget data for the Chesapeake Bay watershed, organized by county, year, and system.</p>
Decline of salt marsh-nesting birds within the lower Chesapeake Bay (1992-2021)
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Physical characteristics of tidal creeks in the Chesapeake Bay and Atlantic Coasts of Northampton County, VA 1990-1992
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Water chemistry of tidal creeks in the Chesapeake Bay and Atlantic Coasts of Northampton County, VA 1990-1992
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Ammonia oxidation and urea oxidation in Chesapeake Bay and in the global ocean
<p>Two datasets are included in this submission. One dataset contains newly meausured ammonia oxidation, urea oxidation, nitrous oxide production from ammonium and urea in Chesapeake Bay, one of the largest estuaries in the world. The other dataset contains compiled observations of ammonia oxidation, urea oxidation, qPCR analysis of amoA and ureC gene abundance in the global ocean from previous studies. </p> <p><span>Tang, W.</span>, <span>C. Hexter</span>, <span>R. Dai</span>, et al. <span>2025</span>. “ <span>Substrate Effect on the Contribution of Ammonium and Urea to Marine Nitrification and Nitrous Oxide Production</span>.” <em>Environmental Microbiology</em> <span>27</span>, no. <span>10</span>: e70187. <a href="https://doi.org/10.1111/1462-2920.70187">https://doi.org/10.1111/1462-2920.70187</a>.</p>
Chesapeake Bay Vertical Land Motions 2019
<p>Global Positioning System (GPS) data from 2019 campaign in the Chesapeake Bay region </p>
Substrate kinetics of nitrogen cycling processes in the Chesapeake Bay
<p>This dataset includes substrate kinetics of ammonia oxidation, denitrification and anammox measured in the Chesapeake Bay, United States. The results are published in the paper below. </p> <p>Tang, W., Fortin, S.G., Intrator, N., Lee, J.A., Kunes, M.A., Jayakumar, A. and Ward, B.B. (2024), Determination of site-specific nitrogen cycle reaction kinetics allows accurate simulation of in situ nitrogen transformation rates in a large North American estuary. Limnol Oceanogr. <a href="https://doi.org/10.1002/lno.12628">https://doi.org/10.1002/lno.12628</a></p> <p> </p>
Climate-induced interannual variability and projected change of two harmful algal bloom taxa in Chesapeake Bay, USA
<p>This dataset include the input files for the hindcast simulation of ROMS-RCA in Chesapeake Bay during 2002-2011.</p> <p>ROMS (Regional Ocean Modeling System) model used in this study is version 3.4.</p> <p>RCA (Row-Column AESOP) water quality model used in this study is improved by UMCES, coupling with ROMS output.</p>
N2O production under deoxygenation and warming in Chesapeake Bay
<p>The dataset - "N2O production under deoxygenation and warming in Chesapeake Bay" presents measurements of N2O production rates under experimentally manipulated oxygen and temperature changes in Chesapeake Bay - the largest estuary in the United States. The sampling stations and biogeochemical properties of the sampling stations are also included in the dataset.</p> <p>Obervations of N2O concentrations from previous studies and from this study have been compiled into the dataset called "N2O concentration observations in Chesapeake Bay".</p> <p>Please refer to the paper below for details: </p> <p>Tang, W., Da, F., Tracey, J. C., Intrator, N., Kunes, M. A., Lee, J. A., ... & Ward, B. B. (2024). Nutrient management offsets the effect of deoxygenation and warming on nitrous oxide emissions in a large US estuary. <em>Science Advances</em>, <em>10</em>(51), eadq5014. <a href="https://doi.org/10.1126/sciadv.adq5014">DOI: 10.1126/sciadv.adq5014</a></p>
Dataset: Numerical experiments on the sensitivity of Chesapeake Bay N2O cycles to climate warming and nutrient reductions and the associated code and input files
<p>A three-dimensional numerical model of the Chesapeake Bay (East Coast of the United States) was used to simulate the N<sub>2</sub>O cycle. The model is an implementation of the Regional Ocean Modeling System (ROMS, <a href="https://www.myroms.org/" target="_new" rel="noopener">https://www.myroms.org/</a>) with modules for sediment resuspension (Warner et al. 2008) and biogeochemistry (St-Laurent et al. 2020), with the latest addition of N<sub>2</sub>O as a separate state variable. It simulates hydrodynamics and biogeochemistry with a horizontal resolution of approximately 1.8 km and 20 topography-following vertical levels. Physical forcings include the ERA5 reanalysis (3-hourly) and tidal constituents from Szpilka et al. (2016).</p> <p>The dataset includes four primary numerical experiments designed to highlight the sensitivity of the Chesapeake Bay N<sub>2</sub>O cycle to climate warming and terrestrial nutrient management. The reference run was conducted for the year 2016, which represents a normal streamflow year. Three sensitivity experiments retained the same model forcings as in the reference run, except for one of the following combinations:</p> <ol> <li>Decreased atmospheric N<sub>2</sub>O concentrations, decreased atmospheric temperature, and increased riverine nitrate and organic nitrogen concentrations to 1986 levels (<strong>Test1986</strong>).</li> <li>Decreased atmospheric N<sub>2</sub>O concentrations and increased riverine nitrate and organic nitrogen concentrations to 1986 levels (<strong>Test1986warming</strong>).</li> <li>Increased atmospheric N<sub>2</sub>O concentrations, increased atmospheric temperature, and decreased riverine nitrate and organic nitrogen concentrations to 2050 levels (<strong>Test2050</strong>).</li> </ol> <p>The file <code>Results_for_plot.zip</code> includes model outputs used to generate figures, including monthly Bay-wide N<sub>2</sub>O distribution and the daily N<sub>2</sub>O budget integrated over the Bay. In addition to the model outputs, this archive contains the computer code (<code>ROMS_Code.zip</code>) and the input files necessary to reproduce the model results (<code>input_files.zip</code>). The total size of the dataset is approximately 5 GB.</p> <p>References:</p> <p>Scavia, D., Kelly, E. L. A., & Hagy, J. D. (2006). A simple model for forecasting the effects of nitrogen loads on Chesapeake Bay hypoxia. <em>Estuaries and Coasts</em>, 29(4), 674–684. <a href="https://doi.org/10.1007/bf02784292">https://doi.org/10.1007/bf02784292</a></p> <p>St-Laurent, P., Friedrichs, M. A. M., Najjar, R. G., Shadwick, E. H., Tian, H., & Yao, Y. (2020). Relative impacts of global changes and regional watershed changes on the inorganic carbon balance of the Chesapeake Bay. <em>Biogeosciences</em>, 17(14), 3779–3796. <a href="https://doi.org/10.5194/bg-17-3779-2020">https://doi.org/10.5194/bg-17-3779-2020</a></p> <p>Warner, J. C., Sherwood, C. R., Signell, R. P., Harris, C. K., & Arango, H. G. (2008). Development of a three-dimensional, regional, coupled wave, current, and sediment-transport model. <em>Computers & Geosciences</em>, 34(10), 1284–1306. <a href="https://doi.org/10.1016/j.cageo.2008.02.012">https://doi.org/10.1016/j.cageo.2008.02.012</a></p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.