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This data release is part of a larger data release including data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). These data were generated through the use of r.geomorphon, a GRASS GIS toolkit, to classify local terrain conditions into one of ten distinct landforms called geomorphons.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Anne Arundel,
Maryland,
Upper Chesapeake Bay,
carbon-14 analysis,
faunal and floral census (microscopic),
Montgomery County, Maryland Department of Environmental Protection has collected datasets to assess the health of streams since the early 1990s. Datasets include geomorphic stream cross-sectional surveys, fish and benthic macroinvertebrate counts and taxa abundance, and water chemistry data collected at the time of benthic and fish sampling (dissolved oxygen, pH, specific conductance, air temperature, and water temperature). Data span years 1992 to 2020 at five watersheds within the Clarksburg study area. Watersheds include a forested reference site (Soper), an urban site with centralized stormwater management (Crystal Rock), and three treatment watersheds (TR104, TR109, and Cabin Branch) within the Clarksburg Special...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Clarksburg,
Maryland,
Montgomery County,
Montgomery County,
USGS Science Data Catalog (SDC),
These tabular data are summaries of land use/land cover related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as land use/land cover related contain all land use and land cover data including datasets that are split off or combined from those data (eg. agriculture or impervious classes only datasets). Outputs consist of tabular comma-separated values files (CSVs) for both the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were...
This dataset contains geomorphic metrics across 32 cross-sections at four catchments within the Clarksburg Special Protection Area in Montgomery County, Maryland. These data were derived from raw cross-sectional data collected by the Montgomery County, Maryland Department of Environmental Protection. Geomorphic metrics include channel area, bed location, channel depth, channel width, and bank movement for each bank. The catchment types included in this assessment were a majority agricultural catchment which began to be developed in 2016, a forested "control" catchment, and two urbanizing catchments with a high density of stormwater best management practices, in which cross-sectional surveys were collected pre-,...
Categories: Data;
Tags: Clarksburg,
Maryland,
Montgomery County,
USGS Science Data Catalog (SDC),
Upper Chesapeake Bay,
Reactive nitrogen is transported from the atmosphere to the landscape as wet and dry deposition that contributes to annual nitrogen loads to the Chesapeake Bay. Estimates of atmospheric inorganic nitrogen deposition to the Chesapeake Bay watershed during 1950 to 2050 are presented, and are based on field measurements, model simulations, statistical relations, and surrogate constituents used for estimates. Wet atmospheric nitrogen deposition has generally been quantified from weekly precipitation sample collections, whereas dry atmospheric nitrogen deposition has been simulated by a model at an hourly time step.
These tabular data are summaries of human related landscape variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as human related include agriculture, barriers, road density and road/stream crossing data. Outputs consist of tabular comma-separated values files (CSVs) for both local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were completed for each of the local catchments and their network connected upstream and/or downstream catchments....
These tabular data are summaries of natural environment related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as natural environment related include topography, soils/geology, hydrology/geomorphology, and other physical aspects of surface waters (temperature, flow, etc.). Outputs consist of tabular comma-separated values files (CSVs) for the local catchment linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. The summarized data tables are structured as a single column representing the catchment id...
This data record contains a CSV file with spectral reflectance (420-2114 nm) for sediment samples collected from each of four source locations (cropland, stream bank, glaciolacustrine, and street dust) located across sites in the Northwestern US during prior studies. Data were collected in a laboratory setting using Spectrecology USB4000-VIS-NIR and NIRQuest512-2.2 spectrometers. The data contain spectra collected from sieved, non-sieved, dry and suspended samples from each sample source, as well as spectra for calibration standards. Explanation of fields in contained in the spectral properties data table are described in a data dictionary. Data on the physical properties of samples used in this study have been...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Baltimore,
Geomorphology,
Harrisonburg,
Lower Chesapeake Bay,
Maryland,
This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. Two comma-delimited tables are included. The first documents pollen records at various depths identified within sediment samples taken throughout the county's floodplains. The other describes morphological information identifying tree species found buried in-situ throughout the county.
Categories: Data;
Tags: Anne Arundel,
Maryland,
Upper Chesapeake Bay,
carbon-14 analysis,
faunal and floral census (microscopic),
This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. The single shapefile included documents the depths cored at both detailed study sites, and their spatial locations. Seventeen comma-delimited tables are included. Fourteen record pollen records at various depths identified within sediment cores taken at this study's two detailed investigation sites: Main Creek, near Pasadena, MD, and Bacon Ridge Branch, near Crownsville, MD. The remaining three include: radiocarbon dates associated with woody material identified in these sediment cores, visible, near-infrared, and X-ray Fluorescence (XRF) information...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Anne Arundel,
Maryland,
Upper Chesapeake Bay,
carbon-14 analysis,
faunal and floral census (microscopic),
This U.S. Geological Survey data release contains datasets that combine past data with future projections of nitrogen sources and nitrogen export to the Chesapeake Bay watershed for the years 1950-2050. To help understand the effect of human and environmental changes over this time period, data for nitrogen sources from wastewater, agricultural fertilizer and manure, and atmospheric deposition are combined with datasets of population and land use. These datasets were used in conjunction with a previously calibrated SPAtially Referenced Regression On Watershed attributes (SPARROW) modeling tool to estimate the mean annual loads of total nitrogen to the Chesapeake Bay and nontidal stream reaches in the watershed at...
We conducted a field experiment at the Moneystump Swamp in the Blackwater National Wildlife Refuge in Dorchester, MD, USA to simulate a natural forest disturbance event (e.g., storm-induced flooding) by inducing the death of established trees (coastal loblolly pine, Pinus taeda) at the marsh-upland forest ecotone. There were three treatment components: Cut- where the trees were cut and removed, Girdled- where the bark was stripped from the base of the trees killing them and leaving them standing, and Control- where the trees were left alive. After this simulated disturbance in 2015, we monitored changes in vegetation along an elevation gradient in control and treatment areas to determine if disturbance can lead...
Categories: Data;
Tags: Ecology,
Inundation,
USGS Science Data Catalog (SDC),
Upper Chesapeake Bay,
coastal submergence,
This data set is composed of all events in the Wildlife Health Information Sharing Partnership Event Reporting System (WHISPers) between 1/1/2000 and 12/31/2020 from counties bordering the Chesapeake Bay. Relevant fields include WHSPers ID number, estimated number of animals affected, event start and end dates, states, counties, species involved, event diagnoses, etiological category of the primary cause/diagnosis, and whether concurrent algal blooms or toxins were reported at the time of the event. Additional information from NWHC case 24171is provided including: WHISPers event ID, case number, accession numbers, state, county, collection date, species, presence or absence of liver necrosis, and cause of death.
Categories: Data;
Tags: Chesapeake Bay,
Lower Chesapeake Bay,
USGS Science Data Catalog (SDC),
Upper Chesapeake Bay,
Wildlife Disease,
This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. Nine shapefiles are included, representing the depths of various soil layers as identified by ground-penetrating radar for two detailed study sites within Anne Arundel County, as well as an estimate of the agricultural horizon.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Anne Arundel,
Maryland,
Upper Chesapeake Bay,
carbon-14 analysis,
faunal and floral census (microscopic),
This metadata record documents two comma delimited tables that contain information on fallout radionuclides and urban sediments within Dead Run watershed in Catonsville, Baltimore County, Maryland. Measurements include radiological activity for rainwater and sediment samples, sediment particle size information, suspended sediment concentration measurements, elemental composition of sediments, and sediment yields of paved surfaces. First posted - November 13, 2019 (available from author) Revised - March 19, 2020 (version 1.1)
Categories: Data,
Data Release - Revised;
Tags: Baltimore,
Geomorphology,
Piedmont,
Sediment Yield,
Soil Sciences,
This metadata record documents a single comma delimited table that contains information on the elemental composition and particle size distribution of sediments within Jones Falls watershed in Baltimore, Maryland.
This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). Ten shapefiles are also included, nine of which represent the depths of various soil layers as identified by ground-penetrating radar for two detailed study sites within Anne Arundel County. A tenth documents the depths cored at both detailed study sites, and their spatial locations. Finally, twenty comma-delimited tables are included in this release with fifteen tables documenting...
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