Filters: Tags: {"scheme":"Geographic Names Information System (GNIS)","name":"arkansas"} (X) > Categories: Data (X)
44 results (22ms)|
Filters
Date Range
Extensions
Types
Contacts
Categories Tag Types Tags (with Scheme=Geographic Names Information System (GNIS))
|
A green-tree reservoir (GTR) is a stand of bottomland hardwoods that is intentionally flooded in the fall and winter to support migrating waterfowl. Bottomland hardwood forest plots in the GTR on Felsenthal National Wildlife Refuge (FNWR) are measured every 5-6 years to monitor tree survival, growth, and mortality. This dataset presents the measurements of all the trees in 54 plots during the year 2001. Parameters measured are species, diameter, vigor class, canopy class, and whether or not the tree is a new recruit in 2001. These parameters are defined in the Entity and Attributes section of this metadata file. Additional Information: A series of square 0.1 ha (31.6 m X 31.6 m) permanent plots was previously established...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arkansas,
Felsenthal National Wildlife Refuge,
biota,
bottomland hardwoods,
environment,
This child item describes a public supply delivery machine learning model that was developed to estimate public-supply deliveries. Publicly supplied water may be delivered to domestic users or to commercial, industrial, institutional, and irrigation (CII) users. This model predicts total, domestic, and CII per capita rates for public-supply water service areas within the conterminous United States for 2009-2020. This child item contains model input datasets, code used to build the delivery machine learning model, and national predictions. This dataset is part of a larger data release using machine learning to predict public-supply water use for 12-digit hydrologic units from 2000-2020. This page includes the following...
Airborne electromagnetic (AEM), magnetic, and radiometric data were acquired November 2018 to February 2019 along 16,816 line-kilometers (line-km) over the Mississippi Alluvial Plain (MAP). Data were acquired by CGG Canada Services, Ltd. with three different helicopter-borne sensors: the CGG Canada Services, Ltd. Resolve frequency-domain AEM instrument that is used to map subsurface geologic structure at depths up to 100 meters, depending on the subsurface resistivity; a Scintrex CS-3 cesium vapor magnetometer that detects changes in deep (hundreds of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations; and a Radiation Solutions RS-500 spectrometer that...
Measures used to assess trends in the 10th, 50th, and 90th quantiles of annual peak streamflow from 1916-2015 at 2,683 U.S. Geological Survey stations and within 191 4-digit HUCs in the conterminous United States. Linear quantile regression was applied to the selected quantiles of log-transformed annual peak streamflow to represent trends for a range of flood frequencies from small, common floods to large, infrequent floods. Comparative trends in pairs of quantiles were characterized as coherent, convergent, or divergent by comparing the slopes of linear quantile regression equations.
This data release documents eight Microsoft Excel tables; four which contain data for understanding groundwater ages in the South East Coastal Plain (SECP), Coastal Lowlands (CLOW) and Mississippi Embayment and Texas Coastal Uplands (METX) aquifer systems and four that describe the data fields. Results described include dissolved gas modeling results, environmental tracer concentrations (tritium, tritiogenic helium-3, sulfur hexafluoride, and radiogenic helium-4), mean age and age distribution, and carbon-14 geochmical modeling results Dissolved gas modeling results (DGmodel) contains detailed information on the calibration of dissolved gas models to dissolved gas concentrations (neon, argon, krypton, xenon, and...
Airborne electromagnetic (AEM), magnetic, and radiometric data were acquired November 2019 to March 2020 along 24,030 line-kilometers (line-km) over the Mississippi Alluvial Plain (MAP). Data were acquired by CGG Canada Services, Ltd. with three different airborne sensors: the CGG Canada Services, Ltd. TEMPEST time-domain AEM instrument that is used to map subsurface geologic structure at depths up to 300 meters (m), depending on the subsurface resistivity; a Scintrex CS-3 cesium vapor magnetometer that detects changes in deep (hundreds of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations; and a Radiation Solutions RS-500 spectrometer that detects the...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arkansas,
Arkansas River,
GGGSC,
Geology, Geophysics, and Geochemistry Science Center,
Geophysics,
Since the 1940's, commercial, academic and government hydrologists have used aquifer tests to estimate the hydrogeologic properties of an aquifer near test wells. Results from these tests are recorded in various files, databases, reports, and scientific publications. The U.S. Geological Survey (USGS), Lower Mississippi-Gulf Water Science Center (LMG) is aggregating all aquifer test results from Alabama, Arkansas, Louisiana, Mississippi, and Tennessee into a single dataset that is publicly available in a machine-readable format. The LMG-Hydrogeologic Aquifer Test Dataset – December 2021 contains information and results from 690 hydrogeologic aquifer tests. Additionally, this dataset contains 7 attribute tables...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Alabama,
Alabama (AL),
Aquifer,
Aquifer,
Aquifer Test,
Version 4.0 of this data release provides descriptions of more than 200 mineral districts, mines, and mineral occurrences (deposits, prospects, and showings) within the United States that are reported to contain substantial enrichments of the rare earth elements (REEs). These mineral occurrences include mined deposits, exploration prospects, and other occurrences with notable concentrations of the REEs. The inclusion of a particular mineral occurrence in this database is not meant to imply that it has economic potential. Rather, these occurrences were included to capture the distribution and characteristics of the known, reported REEs deposits in the United States, which are diverse in their geology and resource...
Categories: Data,
Data Release - Revised;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Alaska,
Arizona,
Arkansas,
BLM,
Bureau of Land Management,
These data depict the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1) flowline representation of the National Wild and Scenic Rivers System throughout the conterminous United States as of 2018. U.S. Forest Service geospatial data on National Wild and Scenic River segments (USFS WSR Segment) from 3/1/2016 were joined to the NHDPlusV2.1 to create the Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1 (wsr_nhdpv2.1) data. To ensure these data correctly represented the NHDPlusV2.1 flowline delineation of the National Wild and Scenic Rivers System, each wsr_nhdpv2.1 river segment was examined against the USFS WSR Segment data to check for duplication and/or omission of Wild and Scenic River segments. Spatial...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Arizona,
Arkansas,
California,
Colorado,
Airborne geophysical surveys were acquired in March 2018 and May 25 through August 7, 2021 using a helicopter-based platform. These surveys were collected along 10,706 line-kilometers (line-km) within selected areas of the Mississippi Alluvial Plain (MAP) and the Chicot Aquifer System in the southeastern United States. The airborne geophysical surveys include electromagnetic, magnetic, and radiometric sensor data collected in rivers and levees throughout the two areas to evaluate groundwater and surface-water interaction, riverine ecosystems, and infrastructure. This data release contains three child items that provide: Minimally processed (raw) data supplied by the airborne contractor (Xcalibur Multiphysics)...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: "Geomorphology"],
"Hydrology",
"Sedimentology",
"Stratigraphy",
"Water Resources",
The U.S. Geological Survey is developing national water-use models to support water resources management in the United States. Model benefits include a nationally consistent estimation approach, greater temporal and spatial resolution of estimates, efficient and automated updates of results, and capabilities to forecast water use into the future and assess model uncertainty. This data release contains data used in a machine learning model to estimate monthly water use for communities that are supplied by public-supply water systems in the conterminous United States for 2000-2020. This data release also contains associated scripts used to produce input features as well as model output values by 12-digit hydrologic...
A green-tree reservoir (GTR) is a stand of bottomland hardwoods that is intentionally flooded in the fall and winter to support migrating waterfowl. Bottomland hardwood forest plots in the GTR on Felsenthal National Wildlife Refuge (FNWR) are measured every 5-6 years to monitor tree survival, growth, and mortality. This dataset presents the measurements of all the trees in 54 plots during the year 2016. Parameters measured are species, diameter, vigor class, canopy class, whether or not the tree is a new recruit in 2016, whether the tree is a tip-up (windthrow) or a gap tree in 2016, and whether Hypoxylon canker fungus is present on the tree in 2016. These parameters are defined in the Entity and Attributes section...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arkansas,
Felsenthal National Wildlife Refuge,
biota,
bottomland hardwoods,
environment,
Bottom altitudes of the Mississippi River Valley alluvial aquifer (MRVA) were compiled from interpretations of subsurface geophysical logs (log picks) at about 10,000 boreholes and wells located throughout the Mississippi Alluvial Plain (MAP) that were available from previous investigations. Five sources of the bottom altitude data are listed numerically in the Cross Reference section (below) and correspond with the Ref_code listed in the .shp dataset. Borehole geophysical data (log picks) were referenced (corrected) to the National Elevation Dataset (NED) 10-meter digital elevation model (DEM; https://nationalmap.gov/elevation.html). Log picks that required a DEM correction of less than 20 feet were retained for...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arkansas,
Arkansas River,
Cross Validation,
Crowley's Ridge,
Geostatistics,
This U.S. Geological Survey (USGS) data release provides the descriptions of 11 U.S. sites that include mineral regions, mines, and mineral occurrences that contain enrichments of niobium (Nb). To be included in this data release, a site must have a contained resource and (or) past production of Nb metal greater than 10,000 metric tons, which was the approximate consumption of Nb in the U.S. in 2019 (U.S. Geological Survey, 2020). Sites in this dataset occur in Alaska, Arkansas, Colorado, Nebraska, and Texas. Niobium primarily occurs in oxide minerals of the pyrochlore group, which are most commonly found in carbonatites and alkaline granite-syenite complexes. Globally, the largest Nb deposits occur in Brazil and...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Alaska,
Arkansas,
BLM,
Bureau of Land Management,
Colorado,
Site data contained in the ScrIntrvls_AllSrcRefs_AllWellsRev.csv dataset define the top and bottom altitudes of well screens in 64,763 irrigation wells completed in the Mississippi River Valley alluvial aquifer (MRVA) that constitute a production zone in the Mississippi Alluvial Plain (MAP) extending across the midwestern and southern United States from Illinois to Louisiana. Each well entry contains an Enumerated Domain Value of the Attribute Label SrcRefNo to identify the state environmental agency that contributed to the database, and enumerated values are associated with specific state agencies by using the Enumerated Domain Value Definition. Screen-top and -bottom altitudes and land surface are referenced (corrected)...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: Arkansas,
Arkansas River,
Crowley's Ridge,
Illinois,
Kentucky,
This dataset contains estimates of water withdrawals from 66 principal aquifers and "other" non-principal aquifers during 2015 for various categories of use in each county or county equivalent in the United States, Puerto Rico, and the U.S. Virgin Islands. The U.S. Geological Survey's (USGS) National Water Use Science Project is responsible for compiling and disseminating the Nation's water-use data. Withdrawal estimates are summarized in USGS Circular 1464, "Estimated Groundwater Withdrawals from Principal Aquifers in the United States, 2015" (Lovelace and others, 2020). This dataset contains the estimated groundwater withdrawals from principal aquifers by county and county equivalent that are summarized by lithologic...
Categories: Data;
Tags: Ada-Vamoosa aquifer,
Alabama,
Alaska,
Alluvial aquifers,
Arbuckle-Simpson aquifer,
This dataset shows the altitude at which the water level would have risen in tightly cased wells and represents conditions during the period from November 2014 through January 2015. Water levels were measured during this period to ensure that wells had adequate time to recover from previous summer pumping and prior to the start of the 2015 summer pumping season. Groundwater-level data from 178 wells cased completely in and open to the Ozark aquifer are available from the USGS National Water Information System (NWIS; data available at http://water.data.usgs.gov/nwis). Groundwater wells were determined to be completed within Ozark aquifer geologic units by evaluating lithology from geophysical logs, groundwater driller...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arkansas,
Boston Mountains,
Kansas,
Missouri,
Oklahoma,
To identify the degree of hydrologic alteration of streams in the Mississippi Alluvial Plain (MAP), we used random forest (RF) regression methods (Breiman, 2001) to model the relation between six selected streamflow characteristics and explanatory variables (such as drainage area, precipitation, soils, and other watershed characteristics). RFs were chosen for this study because they have been proven to be more robust and accurate than traditional linear regression methods (Carlisle and others, 2010; Lawler and others, 2006; Prasad and others, 2006; Cutler and others, 2007). Estimated expected monthly mean streamflow from the RF models were compared to observed monthly mean streamflow at 68 sites located within the...
Categories: Data;
Tags: Arkansas,
Ecology,
Historical streamflow,
Hydrogeology,
Hydrologic alteration,
An inventory of facilities that bottle water or other beverages containing water (including soft drinks, beer, wine, or spirits) or that manufacture ice was compiled by combining available datasets from multiple sources. This water bottling inventory dataset includes facilities within all 50 states of the United States, one federal district (Washington, District of Columbia), and three territories (Guam, Puerto Rico, and Virgin Islands). The inventory focuses on presently active facilities in 2023. Most closed water bottling facilities are not included; however, facilities identified as being a former production site (meaning the facility is still active but the business function has changed) or as closed during...
This page contains 15 estimated quantiles for 9,203 level-12 Hydrologic Unit Code in the Southeastern United States for the decades 1950-1959, 1960-1969, 1970-1979, 1980-1989, 1990-1999, and 2000-2009. A multi-output neural network was used to generate the estimated quantiles (Worland and others, 2019). The R scripts that generated the predictions are also included along with a README file. The 15 quantiles are associated with the following 15 non-exceedance probabilities (NEPs): 0.0003, 0.0050, 0.0500, 0.1000, 0.2000, 0.3000, 0.4000, 0.5000, 0.6000, 0.7000, 0.8000, 0.9000, 0.9500, 0.9950, and 0.9997. The quantiles were calculated using the Weibull plotting position (more details can be found in the accompanying...
|
|
