Skip to main content
Advanced Search

Filters: Tags: {"scheme":"Lithologic classification of geologic map units"} (X)

113 results (49ms)   

View Results as: JSON ATOM CSV
thumbnail
This Benthic Invertebrate Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the benthic invertebrates sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), the invertebrate samples were taken from sediments remaining from the sediment analysis. Identification of the invertebrates was completed by the same invertebrate taxonomist for both the 1998-2000 evaluation and 1986-87 historical evaluation (Smith et al. 1994) for increased consistency. Oligochaetes were identified to species if possible, chironomids were identified to genus, as adult specimens are needed for specific identification, and other taxa...
Categories: Data; Tags: AOCs, Ameiurus nebulosus, Ashtabula, Ashtabula River, Black River, All tags...
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September of every year since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS. Data were derived from a geospatial model of surface water inundation developed for the UMRS and described in Van Appledorn...
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September of every year since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS. Data were derived from a geospatial model of surface water inundation developed for the UMRS and described in Van Appledorn...
thumbnail
LiDAR scans were taken using a tripod mounted Riegl VZ-400 scanning LiDAR. The tripod was set up such that the scanner was between 1.5 and 2.5 m tall. The VZ-400 is a near infrared (1550 nm) scanner. Geometric control was achieved using a pair of Trimble RB GPS antennae, one mounted on the LiDAR scanner (rover) and the other setup as a base station. Before taking a LiDAR scan, the VZ-400 would use the GPSs to fix a real time kinematic (RTK) solution for the scanner’s location and then use that position (scan position) as a reference for LiDAR returns. Post processing was done using RIScan-Pro version 2 (scanner specific software). Also, in post-processing, overlapping areas of point clouds were merged and inaccuracies...
thumbnail
The Taupo Volcanic Zone (TVZ), New Zealand, is the most productive area of explosive silicic volcanism in the world. Faulted early and middle Pleistocene volcanic products are generally concealed beneath voluminous, generally unfaulted, younger volcanic products. An exception is the southeast margin of the TVZ where the two parallel, northeast-trending Paeroa and Te Weta Fault blocks expose Quaternary volcanic products consisting predominantly of caldera-related, rhyolitic ignimbrites and lacustrine sediments. The Taupo-Reporoa Basin is situated along the eastern part of the map area, and its northernmost part underwent collapse to form Reporoa Caldera. The Paeroa Fault block is the largest exposed fault block within...
thumbnail
This database portrays the surface and shallow subsurface geology of the greater Charleston, S.C. region east of 80°30′ west and south of 33°15′ north. The region covers the entirety of Charleston County and portions of Berkeley, Colleton, Dorchester, and Georgetown Counties. Units locally exposed at the surface range in age from middle Eocene to Holocene, but most of the area is covered by Quaternary interglacial deposits. These are, from oldest to youngest, the Okefenokee, Waccamaw(?), Penholoway, Ladson, Ten Mile Hill, and Wando Formations and the Silver Bluff beds. Two cross sections (not included in the database), one running southeast from Harleyville to the coastline on James Island and the other running...
Tags: Adam Run fault, Ashepoo River, Ashley Formation, Ashley River, Ashley River fault, All tags...
thumbnail
This dataset was created as part of the USGS Afghanistan Project investigating artisanal and small-scale mining activity. Clay mining for brick making purposes represents a small but important segment of the mineral extraction industry in Kabul, Afghanistan. Over the past several decades Kabul has grown from a relatively small city, with a 1970 population of less than 500,000 people, to a sprawling urban center with approximately 4.2 million people in 2020 (CIA 2020). Population growth has expanded the need for housing, commercial, and industrial buildings, and associated infrastructure. This has greatly increased demand for bricks, the primary construction material of the region. In this study, very high-resolution...
thumbnail
The data support a study that surveyed the spatial distribution of Oncorhynchus mykiss and Cottus aleuticus eDNA in coastal streams of Big Sur, California, 2021-2022 following post-fire debris flows. The metadata represent qPCR quantification cycle (Cq) values for O. mykiss and C. aleuticus assays performed on water samples collected during June and July of 2021 and 2022 from the following streams: Big Creek, Mill Creek, Prewitt Creek, and Willow Creek. The metadata also includes the distance (meters) of each eDNA sample site from the stream mouth, volume of water (Liters) collected for eDNA analysis at each site, and the Y-intercept, slope, and R-squared value for each assay run.
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September of every year since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS. Data were derived from a geospatial model of surface water inundation developed for the UMRS and described in Van Appledorn...
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September of every year since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS. Data were derived from a geospatial model of surface water inundation developed for the UMRS and described in Van Appledorn...
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
thumbnail
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). A geospatial model of floodplain inundation described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628) generates depth time series data for the UMRS floodplain extent. These depth time series data are typically generated from daily water surface elevations from three gaging locations along the mainstem of the Upper Mississippi River in Pool 26. However, due to missing data at the mid-pool gage location at Dixon Landing, this gage was not included in the analysis for 2009 - 2020. To understand the effect of excluding data from the mid-pool gage on...
The bedrock geologic map database of the Woodstock quadrangle consists of highly deformed metasedimentary rocks of the Central Maine trough, including the Silurian Rangeley and Perry Mountain Formations and the Devonian Littleton Formation. The central, northern, and eastern parts of the quadrangle are underlain by the oldest rocks in the area, the Rangeley Formation. In the southwest and southcentral part of the quadrangle, metaturbidites of the Perry Mountain Formation and subsequent Littleton Formation overly the Rangeley Formation in a deformed F1 synform, herein informally called the Bagley Brook basin. The metasedimentary rocks were intruded by widespread syn- to post-tectonic granitoids of the Devonian New...
Tags: Amphibolite, Anorthosite, Aplite, Calc-silicate rock, Concord Granite, All tags...
thumbnail
A mineral resource assessment for tungsten, a critical mineral commodity (see 'Related External Resources' section below) for the United States, was carried out by the U.S. Geological Survey (USGS) for a portion of the Great Basin region, in western Nevada and eastern California, between latitudes 36N and 42N and longitudes 116W and 120W. This study (Lederer and others, in review) integrates data from several sources, including geologic, geochemical, geophysical, remote sensing, watershed analysis, and mining with recently developed grade and tonnage models, expert estimates, and software tools and analyses to generate probabilistic estimates of undiscovered tungsten skarn resources. The assessment was conducted...


map background search result map search result map Lake Erie Ecological Investigations 1980-2000: Benthic Invertebrate Community Analysis Database for the geologic map of the Paeroa Fault block and surrounding area, Taupo Volcanic Zone, New Zealand Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California - Geodatabase Point locations of brick kilns in Kabul, Afghanistan, derived from 1965, 2004, 2011, and 2018 satellite imagery Database for the Surficial Geologic Map of the Charleston Region, Berkeley, Charleston, Colleton, Dorchester, and Georgetown Counties, South Carolina NASA GIFT Iceland Highlands: 2015-2019 Baugur LiDAR UMRS Floodplain Inundation Model - Illinois River - Alton Pool UMRS Floodplain Inundation Model - Illinois River - La Grange Pool UMRS Floodplain Inundation Depths - Pool 3 UMRS Floodplain Inundation Depths - Pool 22 UMRS Floodplain Inundation Model - Pool 7 UMRS Floodplain Inundation Model - Pool 11 UMRS Floodplain Inundation Model - Pool 12 UMRS Floodplain Inundation Model - Pool 19 UMRS Floodplain Inundation Model - Illinois River - Starved Rock Pool Environmental DNA survey results for Oncorhynchus mykiss and Cottus aleuticus in coastal streams of Big Sur, California, 2021-2022 UMRS Floodplain Inundation Depths - Pool 13 UMRS Floodplain Inundation Depths - Pool 26 UMRS Floodplain Inundation Depth Differences - Pool 26 NASA GIFT Iceland Highlands: 2015-2019 Baugur LiDAR UMRS Floodplain Inundation Model - Illinois River - Starved Rock Pool UMRS Floodplain Inundation Model - Pool 7 UMRS Floodplain Inundation Depths - Pool 3 Database for the geologic map of the Paeroa Fault block and surrounding area, Taupo Volcanic Zone, New Zealand Point locations of brick kilns in Kabul, Afghanistan, derived from 1965, 2004, 2011, and 2018 satellite imagery UMRS Floodplain Inundation Model - Pool 12 UMRS Floodplain Inundation Model - Pool 11 UMRS Floodplain Inundation Depths - Pool 22 UMRS Floodplain Inundation Depths - Pool 13 UMRS Floodplain Inundation Model - Illinois River - La Grange Pool Database for the Surficial Geologic Map of the Charleston Region, Berkeley, Charleston, Colleton, Dorchester, and Georgetown Counties, South Carolina Lake Erie Ecological Investigations 1980-2000: Benthic Invertebrate Community Analysis Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California - Geodatabase