AndreaBozzo/ceres-open-data-index huggingface dataset:
Flood Inundation Mapping Data For Peckman River in the Townships of Verona, Cedar Grove, and Little Falls, and the Borough of Woodland Park, New Jersey

Digital flood-inundation maps for an approximate 7.5-mile reach of the Peckman River in New Jersey, which extends from Verona Lake Dam in the Township of Verona downstream through the Township of Cedar Grove and the Township of Little Falls to the confluence with the Passaic River in the Borough of Woodland Park, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the probable areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Peckman River at Ozone Avenue at Verona, New Jersey (station number 01389534). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/. Flood profiles were simulated for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relations at USGS streamgages on the Peckman River at Ozone Avenue at erona, New Jersey (station number 01389534) and the Peckman River at Little Falls, New Jersey, station number 01389550. The hydraulic model was then used to compute eight water-surface profiles for flood stages at 0.5-foot (ft) intervals ranging from 3.0 ft or near bankfull to 6.5 ft, which is approximately the highest recorded water level during the period of record (1979–2014) at USGS streamgage 01389534, Peckman River at Ozone Avenue at Verona, New Jersey. The simulated water-surface profiles were then combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data to delineate the area flooded at each water level. The availability of these maps along with Internet information regarding current stage from the USGS streamgage provides emergency management personnel and residents with information, such as estimates of inundation extents, based on water stage, that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.

Tags: digital-elevation-models, floods, hydrology, inlandwaters, little-falls-new-jersey, peckman-river, stream-discharge, streamflow, usgs-5821fc58e4b0a3e2fc7b957a, verona-new-jersey
Organization: Department of the Interior
Elevation change along a coastal wetland landscape gradient from tidal freshwater forested wetland to oligohaline marsh in the Southeastern U.S.A. (2009-2014) data

We assessed the resilience of wetlands to sea-level rise along a transitional gradient from tidal freshwater forested wetland (TFFW) to oligohaline marsh by measuring processes controlling wetland elevation. We identified fundamental differences in how resilience is maintained across wetland community types, which have important implications for management activities that aim to restore or conserve resilient systems.

Tags: accretion, coastal-wetlands, elevation-change, georgia, oligohaline-marsh, resilience, savannah-river, sea-level-rise, south-carolina, tidal-freshwater-forested-wetland, usgs-5820c66de4b080404e711965, waccamaw-river, wetland-rslr
Organization: Department of the Interior
Morphology and genetics of Lythrum salicaria from latitudinal gradients of the Northern Hemisphere grown in cold and hot common gardens

Genetic diversity may promote a plant species’ invasiveness by facilitating the evolution of local adaptation, enhanced competitive abilities, and phenotypic plasticity.  We examined the possible role of genetic diversity in the invasiveness of purple loosestrife, Lythrum salicaria L., a Eurasian native introduced to North America, through a broad geographic comparison of eight populations, four from Europe and four from North America.  We further cultivated these populations in two common gardens varying by nearly 20 degrees of latitude to evaluate whether invasive populations exhibit heightened growth/reproductive capabilities and/or phenotypic plasticity when faced with widely varying environmental conditions.  We found similar levels of genetic diversity regardless of continent of origin, indicating no loss of adaptive potential during the North American invasion, along with more rapid first-year growth of invasive populations regardless of garden.  Further, we found evidence that our source populations had adapted to their respective latitudes on both continents, as plant size decreased with increases in a population’s latitude of origin.  We observed no difference between continents in phenotypic plasticity in response to the widely varying conditions affecting our two gardens, suggesting either that such plasticity has played little role in the latitudinal spread of L. salicaria in North America, or that local selection has erased it over time.  Our results support earlier studies demonstrating the evolution of local adaptation and increased competitiveness in invasive L. salicaria, bolstered by high levels of genetic diversity.

Tags: climate-change, primary-production, usgs-5820ac97e4b080404e701267
Organization: Department of the Interior
Marsh change dataset

The change detection data is the classified difference in the percentage of vegetation on the July 14, 2011 Landsat Thematic Mapper(TM) data set collected before Hurricane Sandy and the July 19, 2013 Landsat Operational Land Imager (OLI)data set collected after Hurricane Sandy. Hurricane Sandy made landfall near Brigandine, New Jersey on October 29, 2012. The actual difference in the percentage of vegetation is used in the calculation, not the three-class classification that is the basis of the Marsh Surface Condition Index data. The eleven classes consist of five classes (5-20%,&gt;20%-40%,&gt;40%-60%,&gt;60%-80%,&gt;80%)with  decreases in the percentage of vegetation cover after Hurricane Sandy, Three classes (5-20%,&gt;20%-40%,&gt;40%-60%)with increases in the percentage of vegetation cover after Hurricane Sandy, one class with minor to no change in the percentage of vegetation, and one class consisting of clouds and cloud shadows on the two Landsat data sets.

Tags: atlantic-county, barnegat-bay, cape-may-county, coastal-zone, enrivonment, environmental-restoration, geoscientificinformation, great-bay, great-egg-harbor-bay, great-egg-harbor-river-estuary, imagerybasemapsearthcover, land-cover-analysis, landsat-operational-land-imager, landsat-thematic-mapper, marsh-surface-condition-maps, mid-atlantic-coast, monmouth-county, mullica-river-estuary, new-jersey, new-jersey-intracoastal-marshes, normalized-difference-soil-index, normalized-difference-vegetation-index, normalized-difference-water-index, ocean-county, remotely-sensed-imagery, sandy-hook, surface-reflectance-data, time-series-analysis, united-states, usgs-5820a30de4b080404e6fa9a1
Organization: Department of the Interior
Marsh surface condition index dataset

This set of sixteen Landsat Thematic Mapper (TM)and Operational Land Imager (OLI)(Path 014 and Rows 032 and 033) surface reflectance data sets were collected between 2000 and 2015. This data presents a time-series analysis that uses linear spectral unmixing of composite Normalized Difference Vegetation Index, Normalized Difference Water Index, and Normalized Difference Soil Index data, to estimate the percentages of marsh vegetation, water, and exposed marsh substrate on the New Jersey intracoastal marshes. We used the composition of the marshes in terms of the percentage of marsh vegetation, water, and marsh substrate to produce Marsh Surface Condition Index (MSCI) maps consisting of three classes of marshes: severely impacted (characterized by 30% or less marsh vegetation), moderately impacted (characterized by greater than 30% to 60% marsh vegetation), and intact marshes (greater than 60% vegetation).  The time-series analysis provides a means of evaluating the effect of Hurricane Sandy in the context of sixteen years of data sets collected at times that represent or approach peak vegetation growth. A seventeenth MSCI is the average percentage of vegetation on the New Jersey intracoastal marshes for the most recent six Landsat TM and OLI data sets: August 25, 2009; August 28, 2010; July 14, 2011; July 19, 2013; August 7, 2014, and August 26, 2015. This averaged MSCI data may be the best tool in identifying those areas of the marsh that are at greatest risk from sea level rise and storm damage.

Tags: atlantic-county, barnegat-bay, cape-may-county, coastal-zone, enrivonment, environmental-restoration, geoscientificinformation, great-bay, great-egg-harbor-bay, great-egg-harbor-river-estuary, imagerybasemapsearthcover, land-cover-analysis, landsat-operational-land-imager, landsat-thematic-mapper, marsh-surface-condition-maps, mid-atlantic-coast, monmouth-county, mullica-river-estuary, new-jersey, new-jersey-intracoastal-marshes, normalized-difference-soil-index, normalized-difference-vegetation-index, normalized-difference-water-index, ocean-county, remotely-sensed-imagery, sandy-hook, surface-reflectance-data, time-series-analysis, united-states, usgs-5820a2efe4b080404e6fa99e
Organization: Department of the Interior
Analysis of the effect of Hurricane Sandy on New Jersey Atlantic coastal marshes based on landsat thematic mapper and operational land imager data: 2000-2015

This USGS Data Release represents geospatial data sets that were created for the analysis of the effect of Hurricane Sandy on New Jersey Atlantic Coastal Marshes. The following listed image products were generated 
1) Fifteen marsh surface condition index (MSCI) data sets were calculated from yearly summer collections of ETM+ image data from 2000 to 2015. Three classes described the results of the MSCI mapping; classs1-severely impacted, class 2-moderately impacted, and class 3-intact marsh. 
2) Marsh change data product using Landsat images of July 14, 2011 (before) and July 19, 2013 (after) Hurricane Sandy is based on the difference in the percentage of vegetation.  It shows a pattern of an increasing loss of marsh vegetation for the marshes closest to where Sandy made landfall near Brigantine, New Jersey.
3) Land cover classification using Landsat TM of 14 July 2011 and 19 July 2013, 30 m spatial resolution. Eleven classes namely i) high salt marsh ii) estuarine high salt marsh iii) forested wetland iv) Phragmites australis and Spartina cynosuroides v) salt shrub scrub vi) marsh substrate from estuarine marsh area vii) marsh substrate located near lagoon viii) unconsolidated beach sediment ix) ponds and other shallow bodies on marsh x) small tidal creeks xi) urban development areas
The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public.

Tags: atlantic-county, barnegat-bay, cape-may-county, coastal-zone, enrivonment, environmental-restoration, geoscientificinformation, great-bay, great-egg-harbor-bay, great-egg-harbor-river-estuary, imagerybasemapsearthcover, land-cover-analysis, landsat-operational-land-imager, landsat-thematic-mapper, marsh-surface-condition-maps, mid-atlantic-coast, monmouth-county, mullica-river-estuary, new-jersey, new-jersey-intracoastal-marshes, normalized-difference-soil-index, normalized-difference-vegetation-index, normalized-difference-water-index, ocean-county, remotely-sensed-imagery, sandy-hook, surface-reflectance-data, time-series-analysis, united-states, usgs-5820a23fe4b080404e6fa999
Organization: Department of the Interior
Cape Lookout, North Carolina 2012 National Wetlands Inventory Habitat Classification

In the face of sea level rise and as climate change conditions increase the frequency and intensity of tropical storms along the north-Atlantic Coast, coastal areas will become increasingly vulnerable to storm damage, and the decline of already-threatened species could be exacerbated. Predictions about response of coastal birds to effects of hurricanes will be essential for anticipating and countering environmental impacts. This project will assess coastal bird populations, behavior, and nesting in Hurricane Sandy-impacted North Carolina barrier islands. The project comprises three components: 1) ground-based and airborne lidar analyses to examine site specific selection criteria of coastal birds; 2) NWI classification habitat mapping of DOI lands to examine habitat change associated with Hurricane Sandy, particularly in relation to coastal bird habitat; and 3) a GIS-based synthesis of how patterns of coastal bird distribution and abundance and their habitats have been shaped by storms such as Hurricane Sandy, coastal development, population density, and shoreline management over the past century. We will trace historic changes to shorebird populations and habitats in coastal North Carolina over the past century. Using historic maps and contemporary imagery, the study will quantify changes in shorebird populations and their habitats resulting from periodic storms such as Hurricane Sandy in 2012, to development projects such as the Intracoastal Waterway early in the last century, as well as more recent urban development. We will synthesize existing data on the distribution and abundance of shorebirds in North Carolina and changes in habitats related to storms, coastal development, inlet modifications, and shoreline erosion to give us a better understanding of historic trends for shorebirds and their coastal habitats. Historic data on the distribution and abundance of shorebirds are available from a variety of sources and include bird species identification, location, activity, habitat, and band data. Habitat maps of federal lands in the study area will be created using National Wetlands Inventory mapping standards to assess storm impacts on available nesting habitat. Ground-based LIDAR and high-accuracy GPS data will be collected to develop methods to estimate shorebird nest elevation and microtopography to make predictions about nest site selection and success. Microtopography information collected from lidar data in the area immediately surrounding nest site locations will be used to analyze site specific nesting habitat selection criteria related to topography, substrate (coarseness of sand or cobble), and vegetation cover. The data will be used in future models to assess storm impacts on nest locations, predict long-term population impacts, and influence landscape-scale habitat management strategies that might lessen future impacts of hurricanes on coastal birds and lead to better restoration alternatives.

Tags: cape-lookout, hurricane-sandy, north-carolina, outer-banks, usgs-5820a15ae4b080404e6fa994, wetlands
Organization: Department of the Interior
Thermoelectric power plant water withdrawals and associated attributes for three Federal datasets in the United States, 2010.

This dataset combines three Federal datasets of thermoelectric, non-industrial, power plant water withdrawals and associated plant information for the United States in 2010, excluding Puerto Rico and the U.S. Virgin Islands.  Historically, thermoelectric water withdrawal has been estimated by the Department of Energy's Energy Information Administration (EIA) through surveys of plant operator-reported data, and the Department of Interior's U.S. Geological Survey's (USGS) 5-year water-use reports including data compiled from state water agencies, plant operators, and the EIA. Recently, the USGS developed models for estimating withdrawal at thermoelectric plants to provide independent estimates from plant operator-reported data. The three Federal datasets include plant-level data for 1,349 plants derived from EIA's 2010 Form EIA-860 and Form EIA-923 databases, USGS 2010 compilation-reported data (hereafter referred to as the USGS-compilation dataset), and USGS 2010 model-estimated data (hereafter referred to as the USGS-model dataset).  The plant-level USGS-compilation data provided in this dataset were disaggregated from county-level data published in USGS Circular 1405 (Maupin and others, 2014).  The USGS-model data and the EIA data presented in this dataset were previously published in USGS Scientific Investigations Report 2014-5184 (Diehl and Harris, 2014).  The year 2010 was chosen because it is the most recent year the USGS 5-year compilation report was published and the only year for which the USGS model estimates have been calculated.

Tags: groundwater, hydrology, surface-water, thermoelectric-power-generation-water-use, united-states, usa, usgs-58209752e4b080404e6fa8f0, water-availability, water-budget, water-energy-nexus, water-supply-and-demand, water-use, water-use-datasets
Organization: Department of the Interior
Raster image of mean tidal range in the Edwin B. Forsythe National Wildlife Refuge, New Jersey (32-bit GeoTIFF)

Biomass production is positively correlated with mean tidal range in salt marshes along the Atlantic coast of the United States of America. Recent studies support the idea that enhanced stability of the marshes can be attributed to increased vegetative growth due to increased tidal range. This dataset displays the spatial variation mean tidal range (i.e. Mean Range of Tides, MN) in the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. MN was based on the calculated difference in height between mean high water (MHW) and mean low water (MLW) using the VDatum (v3.5) software (http://vdatum.noaa.gov/). The input elevation was set to zero in VDatum to calculate the relative difference between the two datums. 
As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey has started a Wetland Synthesis Project to expand National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate their vulnerability and ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. EBFNWR was selected as a pilot study area.

Tags: atlantic-ocean, barnegat-bay, coastal-ecosystems, coastal-processes, edwin-b-forsythe-national-wildlife-refuge, environment, estuary, geotiff, great-bay, inlandwaters, little-egg-island, marsh-health, new-jersey, oceans, salt-marsh, tidal-range, tides-oceanic, united-states, usgs-581ff0b3e4b06efbab38d9e2, vegetation, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Seasonal trends in eDNA detection and occupancy of bigheaded carps, Wabash River, IN: Raw Data

Invasive species may vary in their seasonal distribution and abundance due to environmental conditions such as precipitation and temperature.
Bigheaded carps, which include silver and bighead carp, are one such taxon of invasive species that appear to change habitats seasonally. 
Seasonal changes in bigheaded carp distribution may occur because of hydrological changes, water temperature changes, and spawning activities. 
Monitoring this seasonal dispersal and migration is important for management to control the population size and spread of the species. 
We examined if environmental DNA (eDNA) approaches could detect seasonal changes in the occurrence of DNA in water samples and used these approaches to calculate the probability of detection of DNA within samples.
To do this, we developed a novel genetic marker that was able to both detect and differentiate bighead and silver carp DNA.
We implemented the genetic markers to study the occurrence of bigheaded carps at 3 sites on the Wabash River over the course of a year.
These sites were chosen because they exist along a spatial gradient of bigheaded carps densities.
Furthermore, we studied the Wabash River because of concerns that carps may be able to use the system to invade the Great Lakes via a connection at Eagle Marsh between the Wabash River's watershed and the Great Lakes' watershed.
The Wabash River is a tributary of the Ohio River, which is a tributary of the Mississippi River and the source of bigheaded carps in the Wabash.
We used occupancy modeling to estimate both the probability that a water sample contained DNA as well as the probability of detecting the DNA within a sample for both species.
We found seasonal trends in the probability of detection and occupancy that varied across sites.
These findings demonstrate that eDNA methods can detect seasonal changes in bigheaded carps densities and suggest the amount of DNA present changes seasonally.
Both the probability of detection and the probability of a sample containing DNA were generally similar for both species. 
The site that was farthest upstream and had the lowest carp densities exhibited the strongest seasonal trends for both detection probabilities and sample occupancy probabilities. 
Furthermore, other observations suggest that carps seasonally leave this site, and we were able to detect this with our eDNA approach.
More broadly, our research offers support for using eDNA to detect seasonal trends in abundances of aquatic invasive species.

Tags: americus, big-headed-carp, french-post, indiana, invasive-species, mascouten, occupancy-modeling, presence-absence, usgs-581e12f1e4b0dee4cc98fb06, wabash-river
Organization: Department of the Interior
Wildlife Health Information Sharing Partnership-event reporting system (WHISPers)

WHISPers stands for Wildlife Health Information Sharing Partnership - event reporting system. It is a web-based repository for sharing basic information about historic and ongoing wildlife mortality (death) and morbidity (illness) events. The system possesses a searchable archive of wildlife mortality and morbidity event data that is available to the public. The information is opportunistically collected and does not reflect all the mortality events that occur in North America.

Tags: alabama, alaska, american-samoa, amphibian, amphibians, application-programming-interfaces, arizona, arkansas, avian, avian-cholera, avian-influenza, bacteria, bats, bird, birds, botulism, california, canada, colorado, connecticut, consumers-organisms, data-services, delaware, disease, district-of-columbia, endangered-species, epizootic, fish, florida, fungi, georgia, guam, hawaii, idaho, illinois, indiana, iowa, kansas, kentucky, lead-poisoning, louisiana, maine, mammal, mammals, map-interfaces, marine-invertebrate, maryland, massachusetts, mexico, michigan, migratory-species, minnesota, mississippi, missouri, montana, morbidity, mortality, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, northern-mariana-islands, ohio, oklahoma, oregon, parasites, pennsylvania, puerto-rico, reptile, reptiles, rhdv2, rhode-island, south-carolina, south-dakota, tennessee, texas, u-s-virgin-islands, united-states, usgs-581deaed-18e7-45b1-8935-1ea7342ba7e5, utah, vermont, virginia, viruses, washington, west-virginia, white-nose-syndrome, wildlife, wildlife-disease, wildlife-health, wisconsin, wyoming, zoonotic-disease
Organization: Department of the Interior