Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
7
datasets available to search
ShareScore release 0.7.1
Dataset results
7 results for “Long Island Sound”
Long-term water quality monitoring in the Altamaha, Doboy and Sapelo sounds and the Duplin River near Sapelo Island, Georgia from November 2013 to December 2022
Water samples were collected on Georgia Coastal Ecosystems LTER oceanographic monitoring cruises from November 2012 through December 2022. Monthly samples were collected from GCE 6 (high and low tide) and GCE 7 (high tide). Quarterly samples were collected from the remaining GCE sites and AL-02, the Altamaha River oceanic end-member station. Concentrations of the following were measured using standard analytical methods: dissolved nutrients (phosphate, nitrate+nitrite, ammonium, silicate), dissolved organics (carbon, nitrogen, phosphorus) and particulate carbon and nitrogen, chlorophyll, phaeopigments, total suspended solids and loss on ignition.
Long-term water quality monitoring in the Altamaha, Doboy and Sapelo sounds and the Duplin River near Sapelo Island, Georgia from May 2001 to August 2009
Water samples were collected on Georgia Coastal Ecosystems LTER oceanographic monitoring cuirses approximately every three months from May 2001 through December 2006 and monthly from November 2006 to August 2009. Concentrations of dissolved nutrients (ammonium, nitrate+nitrite, phosphate), dissolved organics (DOC, DON, DOP), particulate organic carbon and nitrogen, total suspended sediment, and total particulate iron and phosphorus were measured using standard analytical methods. The concentrations of six elements (calcium, potassium, magnesium, sodium, silicon, and strontium) were also determined occasionally using elemental analysis by inductively coupled plasma mass spectrometry (ICP-MS).
Observations of Autumnal Cooling in a Large Estuary: The Glider Data from Long Island Sound in 2014
<p>This data file is a component of the data used in a paper to appear in the Journal of Geophysical Research in 2023 entitled "Observations of Autumnal Cooling in a Large Estuary" by Amin Ilia, Grant McCardell, Kay Howard-Strobel, and James O'Donnell. The data file contains the measurements from a Slocum Glider (V1) from Webb Research used in the paper. The data is in a MATLAB binary (.mat) file as a structure variable with a field MetaData containing some notes, and data in <br> SampleTimeEST- the date and time of the sample (EST) in MATLAB's datenum() format<br> Pressure_dBar - the pressure (or equivalently depth in m) that the sample was acquired <br> Temperature_C - the water temperature in Celcius<br> PracticalSalinty - the practical salinty<br> LatitudeDeg- the latitude of the sampling location (deg)<br> LongitudeDeg - the longitude of the sampling location (deg east)</p> <p>The paper's abstract is: </p> <p>Long Island Sound (LIS) is a large estuary on the eastern United States coast. Seasonal variations <br> in solar insolation and wind create an annual water temperature cycle that impacts circulation <br> and biological processes. The waters warm from March-February until August-October and then <br> begins to cool. Ship surveys show that the vertical temperature structure becomes uniform during <br> this season when the area experiences low air temperatures and high winds. However, there have <br> been no observations that resolve the temporal evolution of the vertical structure of temperature <br> during these cooling periods because conditions inhibit ship operations. We report glider <br> measurements of the vertical structure of water temperatures and salinities from October 22 to <br> November 4, 2014, in eastern LIS. We find that 20m of water can cool at approximately 0.5 <br> C/day intervals of cold air and strong winds. We use the data to estimate heat content tendencies <br> and infer surface fluxes. We also estimate the surface heat fluxes using buoy-mounted <br> instruments and the COARE 3.0/3.5 formulae and show they are consistent. Using the buoy <br> fluxes and the products of an operation regional model, we show the agreement with the heat <br> budget fluxes is best when the closest buoy and the model results are used. This suggests that <br> resolving the temporally and spatially structure of the wind field is crucial to the accurate <br> simulation of the temperature variability in LIS. These intervals of very rapid cooling can lead to <br> significant density gradients between LIS and the shallow bays and marshes that surround it.</p>
Monthly nitrogen point-source loading dataset for the Long Island Sound Watershed
<p>The attached dataset and code accompanies a Data in Brief article, "Monthly nitrogen point-source loading dataset for the Long Island Sound Watershed."</p> <p>Abstract: Quantifying point source nitrogen loads to the Long Island Sound watershed is important because they contribute to the annual occurrence of hypoxia in Long Island Sound. However, the data are not easily accessible and are not available at a central location, making it difficult to characterize the magnitude of loading, seasonal patterns and long-term trends. For the period between April 1989 and September 2021, we gathered all available monthly nitrogen data for wastewater treatment plants within the Long Island Sound watershed from the U.S. Environmental Protection Agency Integrated Compliance Information System-National Pollutant Discharge Elimination System (ICIS-NPDES) and Permit Compliance System, and Connecticut Department of Energy and Environmental Protection databases. Data were checked for quality assurance and unreasonable outliers were imputed with means of other observations within the same year and season. Estimates were also imputed for missing observations. We publish both raw data with missing observations and a curated dataset with imputed estimates for missing observations. Monthly point source nitrogen load data can be used for water quality modeling and to infer, by subtraction, the relative contribution of nonpoint sources to gauged watershed loads. Additionally, the scripts used to reformat data from the ICIS could be repurposed to collect similar data in other regions.</p>
Observations of Autumnal Cooling in a Large Estuary: The Glider Data from Long Island Sound in 2014
<p>This data file is a component of the data used in a paper to appear in the Journal of Geophysical Research in 2023 entitled "Observations of Autumnal Cooling in a Large Estuary" by Amin Ilia, Grant McCardell, Kay Howard-Strobel, and James O'Donnell. The data file contains the measurements from a Slocum Glider (V1) from Webb Research used in the paper. The data is in a MATLAB binary (.mat) file as a structure variable with a field MetaData containing some notes, and data in <br> SampleTimeEST- the date and time of the sample (EST) in MATLAB's datenum() format<br> Pressure_dBar - the pressure (or equivalently depth in m) that the sample was acquired <br> Temperature_C - the water temperature in Celcius<br> PracticalSalinty - the practical salinity<br> LatitudeDeg- the latitude of the sampling location (deg)<br> LongitudeDeg - the longitude of the sampling location (deg east)</p> <p>The paper's abstract is: </p> <p>Seasonal variations in solar insolation and wind create an annual water temperature cycle that impacts circulation and biological processes. The waters of Long Island Sound (LIS) warm from March-February until August-October and then begin to cool. Ship surveys show that the vertical temperature structure becomes almost uniform during this season when the area experiences low air temperatures and high winds. However, no observations have resolved the temporal evolution of the vertical structure of temperature during these cooling periods because conditions inhibit ship operations. We report glider measurements of the vertical structure of water temperatures and salinities from October 22 to November 4, 2014, in eastern LIS. We find that 20m of water can cool at approximately 0.5 C/day during intervals of cold air and strong winds. We use the data to estimate heat content tendencies and infer surface fluxes. We also estimate the surface heat fluxes using buoy-mounted instruments and show they are consistent. The net heat flux to the atmosphere exceeds 600 W/m<sup>2</sup> during the gilder deployment and approximately 66% of this is due to latent heat transfer. Using the buoy fluxes and products of an operation regional model, we show that the agreement with the fluxes derived from heat budget is improved by using local wind observations. In addition to confirming the extremely large cooling rates, our results demonstrate that gliders can be used in a complex region with strong tidal currents to resolve the temperature structure and heat budget during the severe weather of the cooling season.</p> <p> </p>
Interdisciplinary Research in Earth Science, Long Island Sound
Integration of new remote sensing tools for characterization of tidal marsh area extent, vegetation communities and inundation regimes, and advanced retrievals of estuarine biological and biogeochemical processes with multi-disciplinary ecological, paleoecological, and socioeconomic datasets, spatial econometric models of population growth, and a novel coupled hydrodynamic-photo-biogeochemical model specifically designed for the marsh-estuarine continuum in the heavily urbanized Long Island Sound.
The Long Island Sound Coastal Observational (LISCO) platform
The Long Island Sound Coastal Observational platform (LISCO) near Northport, New York, has both multispectral and hyperspectral radiometers for ocean color measurements to support satellite data validation.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.