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This data release contains phytoplankton data and vertical profile measurements of water quality and light in oligotrophic (low nutrient) lakes within the Adirondack Park, New York State. Data were collected between June and October 2021 at five lakes. Four lake locations (Nearshore, Open Water, Layer, Bloom) were sampled representing one of four sample types (Bottom Sediment, Surface Water, Bloom Material, Layer). Water-quality field parameters (water temperature, dissolved-oxygen concentration and percent saturation, pH, specific conductance, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescent dissolved organic material) were measured at each sampling location from the surface to the...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Adirondack Park,
Algal concentration,
Blue Mountain Lake,
Blue-green algae,
Brant Lake,
The data set includes the daily streamflow predictions from (Long Short-Term Memory) LSTM models for 45 basins (27 basins in New England region and 18 basins in Great Basin region) in contrasting hydroclimate regions (water-limited Great Basin region and energy-limited New England region) in the United States. Also, the shapefiles of study basins and hydroclimate regions, and data to support the statistical results, figures, and tables are included.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hydrology,
LSTM,
USGS Science Data Catalog (SDC),
Water Resources,
farming,
Post-fire shifts in vegetation composition will have broad ecological impacts. However, information characterizing post-fire recovery patterns and their drivers are lacking over large spatial extents. In this analysis we used Landsat imagery collected when snow cover (SCS) was present, in combination with growing season (GS) imagery, to distinguish evergreen vegetation from deciduous vegetation. We sought to (1) characterize patterns in the rate of post-fire, dual season Normalized Difference Vegetation Index (NDVI) across the region, (2) relate remotely sensed patterns to field-measured patterns of re-vegetation, and (3) identify seasonally-specific drivers of post-fire rates of NDVI recovery. Rates of post-fire...
A three-dimensional groundwater flow model of the Central Valley in California was developed to aid water managers in understanding how water moves through the aquifer system, to predict water-supply scenarios, and to address issues related to subsidence. The USGS California Water Science Center made a detailed assessment of groundwater availability of the Central Valley aquifer system, which includes: (1) the status of groundwater resources; (2) how these resources have changed over time, particularly related to subsidence; and (3) tools to assess system responses to stresses from future human uses and climate variability and change. This effort builds on previous investigations, such as the USGS Central Valley...
Categories: Data;
Tags: California,
Central Valley,
Corcoran Clay,
Sacramento Valley,
San Joaquin Basin,
High-frequency observations of surface water at fine spatial scales are critical to effectively manage aquatic habitat, flood risk and water quality. We developed inundation algorithms for Sentinel-1 and Sentinel-2 across 12 sites within the conterminous United States (CONUS) covering >536,000 km2 and representing diverse hydrologic and vegetation landscapes. These algorithms were trained on data from 13,412 points spread throughout the 12 sites. Each scene in the 5-year (2017-2021) time series was classified into open water, vegetated water, and non-water at 20 m resolution using variables not only from Sentinel-1 and Sentinel-2, but also variables derived from topographic and weather datasets. The Sentinel-1 model...
The area surrounding La Conchita, California (CA), USA experienced significant landslides and debris flows following a storm on January 10th, 2005, including a deadly deep-seated landslide that destroyed 13 houses and caused 10 fatalities (Jibson, 2006). This data release documents the locations of shallow landslide source locations in the vicinity of the deadly 2005 La Conchita landslide. Landslide locations were mapped as points using post-event imagery available in Google Earth. The data release includes: 1) .csv file containing the point locations of shallow hillslope landslides, 2) .zip file containing shapefile (.shp) of the mapped study area. References: Jibson, R. W. (2006). The 2005 La Conchita, California,...
Categories: Data;
Tags: California,
Geomorphology,
La Conchita,
USGS Science Data Catalog (SDC),
United States,
These data are the results of a spatially interpolated integrated population model (SIIPM) fit to count and demographic data collected from populations of Greater Sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) located in Nevada, U.S.A. during 2013-2021. We used a novel framework, using integrated population models (IPMs), to express demographic relatedness among sampled and unsampled populations using geographic principles of spatial autocorrelation (Shepard, 1968; Tobler, 1970). Specifically, the framework pairs relatively inexpensive population count data with spatially interpolated demographic estimates. When conducted within a Bayesian framework, spatially interpolated demographic parameters...
Results from Generalized Additive models (GAM), Random Forest models (RFM), and Cubist models (CUB) for three Dauphin Island Sealab (DIS) operated salinity sites in Mobile Bay are reported in this data release. These sites included Meaher Park (DIS:MHPA1), Middle Bay Lighthouse (DIS:MBLA1), and Dauphin Island (DIS:DPIA1). The constructed models predicted a 40-year daily salinity record from 1980 to 2021 at each site based on incomplete imputed salinity records and several explanatory variables. Explanatory variables included: daily streamflow from 8 United States Geological Survey (USGS) streamgages, daily minimum and maximum temperature, precipitation, vapor pressure, wind speed, wind direction, horizontal and...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cubist model,
Dauphin Island Sea Labs,
Dauphin Island Sea Labs,
Generalized Additive model,
Gulf of Mexico,
The U.S. Geological Survey (USGS), in cooperation with the Oklahoma Water Resources Board (OWRB), constructed a finite-difference numerical groundwater-flow model of the Washita River aquifer by using MODFLOW-2005 (Harbaugh, 2005) with the Newton formulation solver (MODFLOW-NWT). The 1973 Oklahoma Groundwater Law requires that the OWRB conduct hydrologic investigations of the State’s aquifers to determine the maximum annual yield (MAY) for each groundwater basin. The MAY is defined as the total amount of fresh groundwater that can be annually withdrawn while allowing a minimum 20-year life of that groundwater basin. For alluvium and terrace groundwater basins, the life requirement is satisfied if, after 20 years...
This data release contains the concentration results for basic water-quality constituent class parameters (water temperature, pH, turbidity, and specific conductance), total nitrogen, total phosphorous, chloride, and trace elements in surface-water samples collected from two subsites within two vernal pools near Pleasant Grove, New Jersey in 2022-23. In the winter (December 2022 and February 2023) samples were collected at opposing ends of the ponds, or wherever ponding was sufficient for a sample to be taken. An additional sample was collected in July 2023 during the amphibian breeding season. The number of samples collected during each sampling event varied based on water availability and in July 2023 only one...
This data release consists of a Microsoft® Access database that contains groundwater withdrawal estimates from known and approximate well locations (withdrawal points) in the Death Valley regional groundwater flow system (DVRFS) to support a regional, three-dimensional, transient groundwater flow model (Belcher and others, 2017; Halford and Jackson, 2020). The database provides information for each withdrawal point including estimated location and completion interval (Moreo and others, 2003). Groundwater withdrawal estimates for each withdrawal point have been compiled by water use and year. Uncertainty was assigned to the annual withdrawal values based on the use and method of estimation (Moreo and others, 2003)....
This dataset describes field-measured qualitative stream channel characteristics indicative of incision and remotely-measured predictions of channel incision from lidar in three headwater streams in the Piedmont physiographic region of Maryland. The files within the field-measured channel incision folder include 1) a point file of original survey locations with a description of channel characteristics and 2) a stream network file with the field-surveyed degree of channel incision classified by stream reach. The file within the model-predicted channel incision folder includes stream networks for each watershed, and the incision prediction from lidar for the years 2002, 2008, 2013, and 2018.
Site, field, and soil data collected from 14 sites along a chronosequence of wetland submergence on 15 – 17 October 2019 in a Louisiana salt marsh in Barataria Basin, part of the Mississippi River Deltaic Plain, along the northern Gulf of Mexico coast.
Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Hydroacoustic data were collected along 8, randomly-selected, 5-kilometer transects and three transects between the US shore and the international border in central Lake Erie in July 2020. Software-generated raw variables used for calculating estimates of hydroacoustic fish densities are presented here. These data are related to a longer-term data set from 2010-2019.
Categories: Data;
Tags: Aquatic Biology,
Great Lakes,
Lake Erie,
USGS Science Data Catalog (SDC),
aquatic biology,
This digital dataset includes three sets of observational data (groundwater level, streamflow, subsidence) used to calibrate the updated Central Valley Hydrologic Model (CVHM2)
Categories: Data Release - Revised;
Tags: California,
Central Valley,
Observation,
Streamflow,
Subsidence,
This data release documents time-series analyses of aqueous-chemistry data from public-supply wells (PSWs) and associated potential explanatory factors to characterize responses of groundwater quality to drought and recovery periods in California’s San Joaquin Valley (SJV) during 2000-2022. Annual median nitrate values were computed for PSWs throughout the SJV during the period of study. Median annual nitrate values were calculated at all PSWs with available data in the SJV, resulting in a total of 698 PSWs with complete annual records after single-year linear gap imputation. A total of 237 of these records were classified as “low variance” because they contained proportions of identical values exceeding 80 percent...
The Terrestrial Core-connector Network is one of a suite of products from the Nature’s Network project (naturesnetwork.org). Nature’s Network is a collaborative effort to identify shared priorities for conservation in the Northeast, considering the value of fish and wildlife species and the natural areas they inhabit. This product consists of two components: core areas and connectors. A number of additional datasets that augment or complement the core-connector network, including Road-bounded Natural Blocks that surround the cores areas and a set of Grassland Bird Core Areas, are also available in the Nature’s Network gallery: https://nalcc.databasin.org/galleries/8f4dfe780c444634a45ee4acc930a055. A detailed technical...
The sensor ensemble (DEbris and Floodflow Early warNing System, DEFENS) was deployed in Waldo Canyon, Pike National Forest, Colorado, which was burned during the Waldo Canyon fire in the summer of 2012. The ensemble consists of noncontact, ground-based (near-field), Doppler velocity (velocity) and pulsed (stage or gage height) radars, rain gages, and a redundant radio communication network. This ensemble of instruments was used to calculate stream channel characteristics derived from light detection and ranging (lidar) data. These data were leveraged to predict mean channel velocities based on Manning's equation, which were needed to compute the kinematic celerity and uncertainties and include water level, cross-sectional...
Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Hydroacoustic data were collected along 10, randomly-selected, 5-kilometer transects and two cross-basin transects between the US and Canadian shorelines in central Lake Erie during July 2021. Software-generated raw variables were used for calculating estimates of hydroacoustic fish densities presented here in tabular form. These data are related to a longer-term data set from 2010-2019, and a data set from 2020.
Categories: Data;
Tags: Aquatic Biology,
Ecology,
Great Lakes,
Lake Erie,
USGS Science Data Catalog (SDC),
Information was gathered to support a cumulative effects assessment of restoration in barrier island and shoreline systems of the north central Gulf of Mexico. Information includes: 1) results from two literature searches to help guide the development of a conceptual model of a barrier island and shoreline system and identify drivers and stressors important to that system, and 2) an accounting of restoration projects and descriptive information to document the distribution of Deepwater Horizon-funded restoration projects within the study area and guide the identification of potential effects on focal resources.
Categories: Data;
Tags: Barrier Island,
Ecology,
USGS Science Data Catalog (SDC),
cumulative effects,
dune restoration,
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