Skip to main content
Advanced Search

Filters: Date Range: {"choice":"week"} (X) > Types: OGC WFS Layer (X)

106 results (9ms)   

Filters
Contacts (Less)
View Results as: JSON ATOM CSV
thumbnail
Kane County, Utah. View eastward across Alton Amphitheater; Floor of Tropic Shale, Other Cretaceous formations in background. 1940.
thumbnail
Fault, Navajo sandstone (right), Carmel formation (left), head of box canyon in Lick Wash. Kane County, Utah. 1940.
thumbnail
Second shale subunit of the South Platte formation, north side of Ralston Reservoir. K, base Kassler sandstone member, Mb, second key marker bed; Mz, platy siltstone of marine zone. Jefferson County, Colorado, ca. 1951. Published as figure 12 in U. S. Geological Survey Professional Paper 274-B. 1955.
thumbnail
Frey (Organ Rock) formation capped by De Chelly conglomerate 3 miles from mouth of White Canyon. Chinle and Wingate at left. San Juan County, Utah. 1932.
thumbnail
One of the small buttes northeast of Bison, showing White River formation resting on Lance formation. Perkins County, South Dakota. 1911. Plate 4-A in U.S. Geological Survey Bulletin 627. 1916.
thumbnail
General view, Monument Valley, Navajo County, Arizona, Marsh Pass quadrangle. Foreground de Chelly sandstone, Background Moenkopi formation and de Chelly sandstone. July, 1910.
thumbnail
Base of Straight Cliffs formation (Cretaceous) at Orderville. Tropic shale forms slope at bottom. Kane County, Utah. 1939.
thumbnail
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
thumbnail
This collection of photos shows the Richinbar mine in the 1930s and a revisit to the mine in 1957 by the Wheeler family. Carlton Wheeler graduated from the University of Oklahoma after WWI and worked as a geologist in Texas before moving his family to Arizona and working for the Richinbar mine. Most of the photos were taken in 1933, 1934, and 1935. The Richinbar mine stopped operations in 1937. This collection has not yet been cataloged. Please contact the Arizona Geological Survey to inquire about this collection.
thumbnail
Phillip Anderson conducted a comprehensive study of the Proterozoic geology, tectonics, and mineral deposits of the Southwest, focused on Arizona. He started his studies upon arrival at the University of Arizona in the early 1970s, beginning a PhD in the Department of Geosciences. As part of this expansive project, Phil visited and studied nearly every exposure of Proterozoic rocks in Arizona. These studies ranged from detailed quadrangle-scale mapping of large areas to regional reconnaissance accompanied by air-photo interpretation. Phil also collected and geochemically analyzed samples of key rock units, focusing on Proterozoic volcanic and plutonic rocks and their metamorphosed equivalents. He also collected...
thumbnail
Digital datasets were used to develop basin characteristics values that are used in multiple regression equations and tested for the use in predicting flow-duration curves (FDCs) in ungaged areas of Illinois. Several basin characteristics are easily derived from StreamStats basin delineations, such as basin area and basin centroid (https://streamstats.usgs.gov/ss/). Other basin characteristics require ancillary datasets as input. The data provided through this data release are those data that have been collected, tested, and ultimately selected as a basis for FDC development. These include Soil Components (Available Water Capacity, Drainage Index, and Permeability); PRISM 3-Month Average Precipitation; and Thickness...
thumbnail
Even when faced with uncertainty about future climate conditions, resource managers are tasked with making planning and adaptation decisions that impact important natural and cultural resources. Species distribution models are widely used by both researchers and managers to estimate species responses to climate change. These models combine data on environmental variables (e.g., temperature, precipitation) with field samples of a species’ presence, absence, and/or abundance to project and visualize potential habitat of the species across space and time. However, species distribution modeling software previously developed and supported by USGS (the Software for Assisted Habitat Modeling [SAHM] package for VisTrails)...
The USGS’s FORE-SCE model was used to produce a long-term landscape dataset for the Delaware River Basin (DRB). Using historical landscape reconstruction and scenario-based future projections, the data provided land-use and land-cover (LULC) data for the DRB from year 1680 through 2100, with future projections from 2020-2100 modeled for 7 different socioeconomic-based scenarios, and 3 climate realizations for each socioeconomic scenario (21 scenario combinations in total). The projections are characterized by 1) high spatial resolution (30-meter cells), 2) high thematic resolution (20 land use and land cover classes), 3) broad spatial extent (covering the entirety of the Delaware River basin, corresponding to USGS...
thumbnail
The Arizona Department of Mines and Mineral Resources (ADMMR) operated from 1940 to 2011 to promote the development of Arizona's mineral resources through technical and educational processes. This collection consists of various reports, maps, records and related materials acquired by ADMMR regarding mining properties in Arizona. At times, property owners supplied information, ADMMR staff performed field visits or staff clipped articles from periodicals and publications. Each record's title refers to the primary name of a unique mineral locality. Alternate names of mines will be included in the fully cataloged records. Since the former index (the Arizona Mineral Industry Location System) included not only mineral...
thumbnail
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, All tags...
thumbnail
Much of the data was originally derived from Arizona Department of Mines and Minerals files. Doug Martin was a Phoenix area mining consultant during the 1980s and was Arizona's State Mine Inspector during the 1990s - 2000s.
thumbnail
Mason Coggin was director of Arizona Department of Mines and Mineral Resources during the mid 1990s. These images were either shot by or collected by him. The newest photo showing a date is from 1953, but some photos were clearly taken as late as the 1970s or 1980s. Perhaps better than any other photo collection from ADMMR, this collection focuses on miners, mines, machinery and buildings. There are several images of the Bisbee and Ajo areas. This collection has not yet been cataloged. Please contact the Arizona Geological Survey to inquire about this collection.
thumbnail
The Pacific Flyway Winter Brant Survey (WBS) has been conducted annually since 1981 as part of a cooperative effort by the U.S. Fish and Wildlife Service, Canadian Wildlife Service, Mexico, and the Pacific U.S. states, to estimate the abundance of the Pacific black brant (Branta bernicla nigricans) in their principal wintering areas along the Pacific Coast (in Baja, Mexico, California, Oregon, Washington, British Columbia, and Alaska). The survey is conducted each winter in January-February by a composite of ground and aerial crews, with the Alaska portion being conducted by the Alaska Region of USFWS Migratory Bird Management. The primary objective of the Alaska survey component is to provide an annual index of...
thumbnail
Note: This data release is currently under revision and is temporarily unavailable. These produced datasets include water-quality and quality assurance results collected by the USGS and other entities from 1952 to 2016 near the City of Poplar as well as throughout the East Poplar oil field, leachate results collected from drilling core within the Cretaceous Bearpaw Formation and Monoammonium phosphate (MAP) fertilizer results collected by the USGS in 2012. The handling and disposal of the brine has resulted in contamination of not only the shallow aquifers in the East Poplar oil field, but also the Poplar River (Thamke and Craigg, 1997; Thamke and Smith, 2014). The shallow aquifers are the only available source...
thumbnail
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...


map background search result map search result map Doug K. Martin mining collection Richinbar Mine photo collection Mason Coggin mining photo collection Arizona Department of Mines and Mineral Resources mining collection General view, Monument Valley. Navajo County, Arizona. 1910. Frey (Organ Rock) formation capped by De Chelly conglomerate 3 miles from mouth of White Canyon. San Juan County, Utah. 1932. Base of Straight Cliffs formation (Cretaceous) at Orderville. Tropic shale forms slope at bottom. Kane County, Utah. 1939. Fault, Navajo sandstone (right), Carmel formation (left), head of box canyon in Lick Wash. Kane County, Utah. 1940. View eastward across Alton Amphitheater; Floor of Tropic Shale, Other Cretaceous formations in background. Kane County, Utah. 1940. Second shale subunit of the South Platte formation, north side of Ralston Reservoir. Jefferson County, Colorado. Circa 1951. One of the small buttes northeast of Bison, showing White River formation resting on Lance formation. Perkins County, South Dakota. 1911. Illinois Regional Flow-Duration Curve Data (ver. 3.0, December 2021) Long-term database of historical, current, and future land cover for the Delaware River Basin (1680 through 2100) Shoreline change rates for the coast of Puerto Rico's main island calculated using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline change rates for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1 Shoreline intersects for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1 Phillip Anderson Arizona Proterozoic Collection Inventory Developing A New Software Package to Enhance Species Distribution Model Functionality Alaska Izembek Brant Winter Aerial Survey 1981-present Physical and chemical characteristics of samples collected in the East Poplar oil field study area, Fort Peck Indian Reservation, 1952-2016 Richinbar Mine photo collection Physical and chemical characteristics of samples collected in the East Poplar oil field study area, Fort Peck Indian Reservation, 1952-2016 Shoreline intersects for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1 Shoreline change rates for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1 Second shale subunit of the South Platte formation, north side of Ralston Reservoir. Jefferson County, Colorado. Circa 1951. One of the small buttes northeast of Bison, showing White River formation resting on Lance formation. Perkins County, South Dakota. 1911. Shoreline change rates for the coast of Puerto Rico's main island calculated using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Base of Straight Cliffs formation (Cretaceous) at Orderville. Tropic shale forms slope at bottom. Kane County, Utah. 1939. Fault, Navajo sandstone (right), Carmel formation (left), head of box canyon in Lick Wash. Kane County, Utah. 1940. View eastward across Alton Amphitheater; Floor of Tropic Shale, Other Cretaceous formations in background. Kane County, Utah. 1940. Alaska Izembek Brant Winter Aerial Survey 1981-present General view, Monument Valley. Navajo County, Arizona. 1910. Frey (Organ Rock) formation capped by De Chelly conglomerate 3 miles from mouth of White Canyon. San Juan County, Utah. 1932. Long-term database of historical, current, and future land cover for the Delaware River Basin (1680 through 2100) Illinois Regional Flow-Duration Curve Data (ver. 3.0, December 2021) Phillip Anderson Arizona Proterozoic Collection Inventory Doug K. Martin mining collection Mason Coggin mining photo collection Arizona Department of Mines and Mineral Resources mining collection Developing A New Software Package to Enhance Species Distribution Model Functionality