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1,008 results for “Virginia coast”
Survey of small mammals using trapping data on all Virginia Coast Reserve barrier islands south of Parramore Island (inclusive) 1975-1978
During 1975 and 1977 live-trapping surveys of small-mammals of the Virginia Barrier Islands were conducted. Primary species encountered were Oryzomys palustris, Mus musculus, Micrutus pennsylvanicus, Rattus norvegicus, Cryptotis parva, and Peromyscus leucopus. Data is presented as primary trapping records giving the date of capture, island, species, sex and reproductive condition of the captured animal. Each animal was tagged to allow individual identification upon recapture. Each island was typically trapped for 8 days in two 4-day sessions.
End of Year Biomass in Marshes of the Virginia Coast Reserve 1999-2007
NOTE THIS DATASET HAS BEEN SUPERCEDED BY DATASET VCR09159 This is the end of the year biomass information for the megasite marsh study. Annual sampling of a number of salt marshes and transitional zones into the upland was begun in 1999. And has continued annually. Goals The goal of this long-term project is to look at how sea-level rise affects marsh evolution. Seventeen sites along Virginia's eastern shore have been selected to study marsh evolution on both the mainland and the barrier islands. The original project established initial site characteristics.
Surface Elevation Data for the Upper Phillips Creek Marsh at the Virginia Coast Reserve 1998-2025
This dataset contains data from Surface Elevation Tables (SETs), Root SETs (RSET), and Marker Horizons (MH) located at the Virginia Coast Reserve. NOTE: These research plots are highly sensitive to disturbance and should not be approached by anyone not engaged in taking measurements. Mark Brinson, Robert Christian and Linda Blum conceived the experimental design, installed (1997), and measured (1997-2011) the SET and MH. After Mark Brinson died in 2011, Robert Christian and Linda Blum continued SET and MH measurements through 2017. VCR Staff and Keryn Gedan assumed responsibility for SET and MH measurements subsequent to 2017. Linda Blum and Pat Willis installed the RSET (2003). Pat was responsible for measuring the RSET between (2003-2005). Between 2005-2017, Linda Blum was responsible for measuring the RSET in addition to the SET and MH. Subsequent to 2017, Cora Johnson Baird and Keryn Gedan assumed responsibility for RSET measurements.
High and Low Tides of Hog Island Bay, Redbank, VA, and Oyster, VA for the Virginia Coast Reserve 2007-2025
This dataset is a summary version of the 12-minute tide data. It records the date, time and level of tides at high and low tide (as indicated by the data). Water temperatures are also recorded.
Flux Tower Data for Fowling Point Marsh at the Virginia Coast Reserve 2007-2008
This dataset contains measurements of CO2 and H2O concentrations, temperature and wind speed made every 1/10th of a second. Important note: due to the high frequency of measurements, this dataset is very large (>25 GB) and may take a long time to download. For this reason the main vcrflux_cpole.csv file is provided as well in compressed (.gz and .zip) forms which are only about 6 GB. There are two additional files. Tide_PPT_temp_2007_2008.csv contains 1-per-minute data on tide level, temperature at different heights on the tower and precipitation. Wind_light_temp_2007_2008.csv contains 1-minute summaries of wind, light, and temperature. The research was conducted at the Virginia Coastal Reserve Long Term Ecological Research (VCR LTER) site on the Eastern Shore of Virginia, USA. The flux tower site (37deg 24'39.85"N, 75deg 50'0.53"W) a lagoonal salt marsh which is located near the area of Fowling point. The site is located at about 2.2 kilometers away from the mainland and 10.7 kilometers away from Hog Island, the nearest barrier island. The flux tower is situated at about 80 meters away from the creek edge, on the lagoonal salt marsh.
End of Year Biomass in Marshes of the Virginia Coast Reserve 1999-2021
Background: Brinson et al. (1995) developed a model representing the change that occurs in ecosystem state (or habitat type) along the shorezone, from the forest -> high marsh -> low marsh -> mud flat, in response to the increased inundation caused by rising sea-level. They suggested that a seaward shift in ecosystem state is largely dependent on local slope and sediment supply. The states are associated with the dominant vegetation found within each. The most seaward (lowest in elevation) state is the mud flat. It is frequently inundated by tide and typically supports algal species. The next landward state is the mineral low marsh; it is dominated by Spartina alterniflora and is typically flooded at high tide. Sediments here may be largely mineral in origin. The next landward state is the high marsh; it may be dominated by S. patens, Distichlis spicata, and Juncus roemerianus. It is occasionally inundated by high tides and the soil is usually organic. The transition zone between the high marsh and the forest is typically dominated by Iva frutescens, Baccharis hamifolia, and Juniperus virginiana. It is only inundated during severe storm surges. The forest may be dominated by either pines or hardwoods and is again flooded with sea water only by storm surges. Goals: The goal of this long-term project is to evaluate how sea-level rise affects marsh evolution and ecosystem state change. Seventeen sites along Virginia's eastern shore have been selected to study marsh evolution on both the mainland and the barrier islands. These sites will be available for long-term seasonal to annual observations. Some sites will also be available for experimentation and short-term studies. The initial project is to establish initial site characteristics. Note, in 2017 a freezer failure caused decomposition of all unprocessed samples. For that reason, most of the data from that year does not distinguish live from dead and many of the species are unidentified. Affected samples are identif
Water Quality Sampling - integrated measurements for the Virginia Coast, 1992-2025
This dataset contains information about the aquatic environment along two transects that run from inlet to the mainland shore on the southern part of the Delmarva Peninsula since 1992. It has a large number of columns (111) that integrate information on water column and benthic measurements. Frequency of sampling varies from monthly to quarterly, and not all variables are necessarily measured on the same dates. However, all the data from a given date and location appears on a single line of the dataset.
Hourly Meteorological Data for the Virginia Coast Reserve LTER 1989-present
Data from VCR/LTER meteorological stations is listed in comma-separated-value (CSV) files by year. A combined file for all years is also available, sorted by station, date and time, however, unlike the annual files, this combined file is too large for most spreadsheets to handle. A compressed copy of all the .CSV files is included in a single .ZIP file for users who wish to conveniently download a copy of all the data.
Gap-filled Meteorological Data for the Virginia Coast Reserve LTER - 1989-2022
This is a gap-filled dataset of the VCR-LTER meteorological sensor data on a daily level. It includes the csv of the generated data, as well as the R script used to generate it.
Camera detections of small mammals on the coast of Virginia, 2020-2023
Specially-designed "mousecam" cameras were used to detect and identify small mammals at locations on the coast of Virginia. This dataset contains information on the images, the species observed and the date, time and location of observation. A second table contains information on the identity of the specific camera used and its location. This dataset includes a limited number of miscellaneous images from locations on the mainland as well.
Brownsville and Hog Island Surficial Well Data at the Virginia Coast Reserve 1990-2015
Data consist of conductivity, salinity, depth of measurement, depth of water table, temperature for each of 15 sites.
Annual precipitation for the Virginia Coast Reserve 1837-2021
The long-term record of annual precipitation begins in 1837, the first year of systematic recording of precipitation amounts at Fort Monroe, Hampton Roads, VA. This remarkable record continued until 1985. Subsequent to 1985, precipitation records come from the NOAA meteorological station at the Norfolk International Airport.
Variation in Landsat 8-estimated land surface temperature with elevation from Spartina alterniflora marsh cross sections in the Georgia Coastal Ecosystems Long Term Ecological Research (GCE-LTER) site and Virginia Coast Reserve (VCR) LTER sites for winter and summer observations spanning 2013-2018
We estimated land surface temperature from top of atmosphere brightness temperature provided by Landsat 8's band 10 (a thermal band). We collected these measurements first for Spartina alterniflora dominated marsh near the Georgia Coastal Ecosystems Long Term Ecological Research (GCE-LTER) eddy covariance flux tower. Measurements were collected from pixels along three east-west cross sections that spanned a marsh edge to interior gradient. We extracted Landsat 8 data for all available cloud-free low tide dates during August, September, January and February during the years 2013 to 2018 and associated these with marsh elevation information from a 1 m^2 Digital Elevation Model (DEM), created by Haldik et al 2013, also available from the GCE data catalog (http://dx.doi.org/10.6073/pasta/4c5187ef603f70cd0a77ece24ef0fed9). We rescaled the DEM to the coarser spatial resolution of Landsat 8 (30 x 30 m) where the rescaled elevation was the mean of the constituent DEM values. Ultimately, we used generalized additive models to relate land surface temperature to elevation, while accounting for variation from spatial proximity, transect and sample date. These models revealed that land surface temperature was negatively related to marsh elevation on the marsh platform. We then confirmed the generality of this pattern by rederiving these same relationships for three cross sections of Spartina alterniflora marsh at Virginia Coast Reserve (VCR) LTER for winter sampling dates only (data also included here). DEM data for VCR LTER are available at https://www.vcrlter.virginia.edu/gisdata/LIDAR/USGS2015/. We used custom R functions that can convert Landsat 8 top of atmosphere brightness temperature or top of atmosphere radiance from band 10 data to land surface temperature, which are available at https://github.com/jloconnell/convert_top_of_atmosphere_thermal_to_land_surface_temperature. Currently, a provisional land surface temperature product is available on earthexplorer.usgs.gov, w
Stream Water Level and Temperature for Mainland Creeks on the Atlantic Coast of Virginia 2002-2009
This dataset includes stage (water level) and temperature for selected creeks along the Atlantic Coast of the Delmarva Peninsula, in Virginia. Pressure sensors were placed in the creeks (typically along the edge of Route 600 (Seaside Road), and corrected for barometric pressure changes in post-processing.
Red Knot observations on the Virginia Coast, 2007-2019
Red Knot observations on the Virginia Coast, 2007-2019 Understanding factors that influence a species' distribution and abundance across the annual cycle is required for range-wide conservation. Thousands of imperiled red knots (Calidris cantus rufa) stop on Virginia's barrier islands each year to replenish fat during spring migration. We investigated the variation in red knot presence and flock size, the effects of prey on this variation, and factors influencing prey abundance on Virginia's barrier islands. We counted red knots and collected potential prey samples at randomly selected sites from 2007 - 2018 during a two-week period during early and peak migration. Core samples contained crustaceans (Orders Amphipoda and Calanoida), blue mussels (Mytilus edulis), coquina clams (Donax variabilis), and miscellaneous prey (horseshoe crab eggs (Limulus polyphemus), angel wing clams (Cyrtopleura costata), and other organisms (e.g., insect larvae, snails, worms)). Estimated red knot numbers in Virginia during peak migration were highest in 2012 (11,959) and lowest in 2014 (2,857; 12-year peak migration x̄ = 7,175, SD = 2,869). Red knot and prey numbers varied across sampling periods and substrates (i.e., peat and sand). Red knots generally used sites with more prey. Miscellaneous prey (x̄ = 18.85/core sample, SE = 0.88) influenced red knot presence at a site early in migration, when we only sampled on peat banks. Coquina clams (x̄ = 11/core sample, SE = 0.30) and blue mussels (x̄ = 0.94/core sample, SE = 0.04) affected red knot presence at a site during peak migration, when we sampled both substrates. Few relationships between prey and red knot flock size existed, suggesting that other unmeasured factors determined red knot numbers at occupied sites. Tide and mean daily water temperature affected prey abundance. Maximizing the diversity, availability, and abundance of prey for red knots on barrier islands requires management that encourages the presence of both sand a
Consumer Front Plant Trait Sampling in Two Virginia Coast Salt Marshes, 2018
A consumer front forms when dense aggregations of herbivores form at the edge of a resource. The front then propagates through the ecosystem in search of additional resources. In U.S. Atlantic salt marshes, the purple marsh crab, Sesarma reticulatum, creates consumer fronts as it grazes the smooth cordgrass, Spartina alterniflora. Sesarma fronts typically form at the heads of tidal creeks and create distinct zonation between the low marsh, tall-form Spartina zones and the high marsh, short-form Spartina zones, with a denuded band of mudflat in between. Over time, Sesarma consumer fronts are moving directionally inland towards the short-form zone and away from the tall-form zone. This movement inland allows for tall-form Spartina to revegetate, preventing further marsh loss. However, it remains unknown why these consumer fronts are moving inland. To test the hypothesis that plant traits (i.e., nutritional quality, palatability) are driving the Sesarma consumer front inland, we collected Spartina from consumer fronts at 8 unique creekheads across two marsh systems on the Eastern Shore of Virginia (4 consumer fronts at Upper Phillips Creek and 4 at Upshur Creek). Spartina was collected from 15 replicate quadrats (0.0625m^2) from the tall-form low marsh zones (TSA) and from the short-form low marsh zones (SSA) at each creekhead. The short-form zone was delineated into two additional zones, an interior (SSA-I) and an exterior (SSA-E), to assess if there were any differences in plant traits between Spartina being actively grazed (SSA-E, adjacent to consumer front) and those that have not been grazed (SSA-I, 2 meters from consumer front). Collected Spartina plants were then processed for a series of plant traits that can influence herbivore preference.
Sediment organic matter and infauna at eight sites on the Virginia Coast, 2016 and 2019
To determine how oysters impact the spatial distribution of infauna and sediment composition through ecosystem engineering, we sampled 8 intertidal mud- flats adjacent to oyster reefs in coastal Virginia, USA. This work describes how local site characteristics, including distance to oysters, elevation, and hydrodynamics, influence infaunal community structure and sediment composition.
Erosion Rates, Soil Core Descriptions and Organic Matter on the Virginia Coast
These data include stratigraphic, organic matter, and organic carbon analyses of sediment cores, as well as values used to calculate the time-averaged carbon erosion rate for the central 10 islands of the Virginia Barrier Island chain.
Audio and Water Movement Data for Oyster Reef and Mudflat Sites on the Coast of Virginia, 2018
Paired marine audio soundscape recordings with concurrent acoustic Doppler velocimeter (ADV) turbulence measurements at three intertidal sites: a natural oyster reef, a restored oyster reef, and a bare mudflat. The objective was to establish the link between oyster reef soundscapes and hydrodynamics, specifically the role that turbulence plays in generating near field pressure waves that may be used as physical cues by oyster larvae when initiating settlement behaviors. Data were collected at three different locations, with water turbulance measurements at rates up to 25Hz concurrent with audio recording.
Quantifying the magnitude of storm events that have impacted the Virginia Coast Reserve (2009-2024) using the Cumulative Storm Impact Index (CSII)
This dataset contains a record of storm events along with quantified magnitudes that have impacted the Virginia Coast Reserve between 2009- 2024, minus 2010. We retrieved hourly water level data and monthly datums from the NOAA Tides and Currents database (tidesandcurrents.noaa.gov) for the tide station located in Wachapreague, VA (Station 8631044) to quantify the magnitude of storms using 1) the Storm Erosion Potential Index (SEPI; Zhang et al. 2001), and 2) the Cumulative Storm Impact Index (CSII; Fenster and Dominguez 2022). CSII incorporates the timing and magnitude of previous storms as a measure of cumulative impact, or "storminess". We identified storm events based on storm surge that exceeded two standard deviations (> 2SD) of the average surge and storm tide that exceeded the annual average Mean High Water (MHW) of a semi-diurnal tide (12 hours; SEPI). We then calculated the CSII for each storm as the sum of the SEPI and an exponentially decaying weighting factor (delta) from the previous storm's CSII that accounts for beach recovery that may have occurred between storm events. Here we use delta = 0.3 to best capture storm clustering during the 15 year period (Fenster and Dominguez 2022). Years missing >10% of data were excluded. For detailed methods on the data retrieval process, identifying storms, and quantifying storm magnitude, see Fenster and Dominguez (2022) and Dominguez et al. (2024). We identified a total of 208 storm events with an average of 14.3 events per year +/- 2.3 (SD) and an average annual CSII of 428.1 (m2hr) +/- 196.1 (SD).
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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.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.