{"pageNumber":"952","pageRowStart":"23775","pageSize":"25","recordCount":46895,"records":[{"id":70202246,"text":"70202246 - 2005 - Petrogenesis of the Apollo 14 high-alumina basalts: Implications from ion microprobe analyses","interactions":[],"lastModifiedDate":"2019-02-18T09:28:54","indexId":"70202246","displayToPublicDate":"2005-12-15T09:26:51","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Petrogenesis of the Apollo 14 high-alumina basalts: Implications from ion microprobe analyses","docAbstract":"<p><span>In this study, ion microprobe analyses of individual minerals are used to investigate the petrogenesis of the Apollo 14 high-Al basalts. We use trace element concentrations from individual minerals in the Apollo 14 high-Al basalts to evaluate both endogenic and exogenic models. The data show that if the Apollo 14 high-Al basalts were produced by melting within the lunar mantle, these basalts cannot be related to one another by closed-system fractional crystallization of a single basaltic melt. Rather, the trace element data show that variable amounts of a KREEP component were added to the basalts by either assimilation, mixing into mantle sources, or impact melting. Single-stage assimilation–fractional crystallization models can only explain the data from this study if an excessively large mass of urKREEP is assimilated into the parent magma before olivine crystallization. Alternatively, the trace element data can be explained if the Apollo 14 high-Al basalts were produced by melting multiple Al-rich mantle sources that contain different amounts of urKREEP. Finally, for impact melting to be a relevant process, the data require that multiple large impact melts be formed from mixed KREEP-rich target lithologies. The resulting impact melts must then crystallize to produce basalts with igneous textures, high Al</span><sub>2</sub><span>O</span><sub>3</sub><span>&nbsp;concentrations, uniform major element compositions, and a wide range of incompatible trace element concentrations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2005.08.008","usgsCitation":"Hagerty, J., Shearer, C.K., and Papike, J.J., 2005, Petrogenesis of the Apollo 14 high-alumina basalts: Implications from ion microprobe analyses: Geochimica et Cosmochimica Acta, v. 69, no. 24, p. 5831-5845, https://doi.org/10.1016/j.gca.2005.08.008.","productDescription":"15 p.","startPage":"5831","endPage":"5845","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":361313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"24","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":757473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shearer, Charles K.","contributorId":111575,"corporation":false,"usgs":true,"family":"Shearer","given":"Charles","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":757474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Papike, James J.","contributorId":213331,"corporation":false,"usgs":false,"family":"Papike","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":757475,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":72765,"text":"sir20055230 - 2005 - Simulation of flow and sediment mobility using a multidimensional flow model for the White Sturgeon critical-habitat reach, Kootenai River near Bonners Ferry, Idaho","interactions":[],"lastModifiedDate":"2012-02-02T00:13:59","indexId":"sir20055230","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5230","title":"Simulation of flow and sediment mobility using a multidimensional flow model for the White Sturgeon critical-habitat reach, Kootenai River near Bonners Ferry, Idaho","docAbstract":"In 1994, the Kootenai River white sturgeon (Acipenser transmontanus) was listed as an Endangered Species as a direct result of two related observations. First, biologists observed that the white sturgeon population in the Kootenai River was declining. Second, they observed a decline in recruitment of juvenile sturgeon beginning in the 1950s with an almost total absence of recruitment since 1974, following the closure of Libby Dam in 1972. This second observation was attributed to changes in spawning and (or) rearing habitat resulting from alterations in the physical habitat, including flow regime, sediment-transport regime, and bed morphology of the river. The Kootenai River White Sturgeon Recovery Team was established to find and implement ways to improve spawning and rearing habitat used by white sturgeon. They identified the need to develop and apply a multidimensional flow model to certain reaches of the river to quantify physical habitat in a spatially distributed manner. The U.S. Geological Survey has addressed these needs by developing, calibrating, and validating a multidimensional flow model used to simulate streamflow and sediment mobility in the white sturgeon critical-habitat reach of the Kootenai River. This report describes the model and limitations, presents the results of a few simple simulations, and demonstrates how the model can be used to link physical characteristics of streamflow to biological or other habitat data. This study was conducted in cooperation with the Kootenai Tribe of Idaho along a 23-kilometer reach of the Kootenai River, including the white sturgeon spawning reach near Bonners Ferry, Idaho that is about 108 to 131 kilometers below Libby Dam.\r\n\r\nU.S. Geological Survey's MultiDimensional Surface-Water Modeling System was used to construct a flow model for the critical-habitat reach of the Kootenai River white sturgeon, between river kilometers 228.4 and 245.9. Given streamflow, bed roughness, and downstream water-surface elevation, the model computes the velocity field, water-surface elevations, and boundary shear stress throughout the modeled reach. The 17.5 kilometer model reach was subdivided into two segments on the basis of predominant grain size: a straight reach with a sand, gravel, and cobble substrate located between the upstream model boundary at river kilometer 245.9 and the upstream end of Ambush Rock at river kilometer 244.6, and a meandering reach with a predominately sand substrate located between upstream end of Ambush Rock and the downstream model boundary at river kilometer 228.4. Model cell size in the x and y (horizontal) dimensions is 5 meters by 5 meters along the computational grid centerline with 15 nodes in the z (vertical) dimension. The model was calibrated to historical streamflows evenly distributed between 141.6 and 2,548.9 cubic meters per second. The model was validated by comparing simulated velocities with velocities measured at 15 cross sections during steady streamflow. These 15 cross sections were each measured multiple (7-13) times to obtain velocities suitable for comparison to the model results. Comparison of modeled and measured velocities suggests that the model does a good job of reproducing flow patterns in the river, although some discrepancies were noted.\r\n\r\nThe model was used to simulate water-surface elevation, depth, velocity, bed shear stress, and sediment mobility for Kootenai River streamflows of 170, 566, 1,130, 1,700, and 2,270 cubic meters per second (6,000, 20,000, 40,000, 60,000, and 80,000 cubic feet per second). The three lowest streamflow simulations represent a range of typical river conditions before and since the construction of Libby Dam, and the highest streamflow simulation (2,270 cubic meters per second) is approximately equal to the annual median peak streamflow prior to emplacement of Libby Dam in 1972. Streamflow greater than 566 cubic meters per second were incrementally increased by 570 cubic meters per second. For each ","language":"ENGLISH","doi":"10.3133/sir20055230","usgsCitation":"Barton, G., McDonald, R.R., Nelson, J.M., and Dinehart, R.L., 2005, Simulation of flow and sediment mobility using a multidimensional flow model for the White Sturgeon critical-habitat reach, Kootenai River near Bonners Ferry, Idaho: U.S. Geological Survey Scientific Investigations Report 2005-5230, 64 p., https://doi.org/10.3133/sir20055230.","productDescription":"64 p.","costCenters":[],"links":[{"id":193026,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7234,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5230/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f2e60","contributors":{"authors":[{"text":"Barton, Gary J. gbarton@usgs.gov","contributorId":1147,"corporation":false,"usgs":true,"family":"Barton","given":"Gary J.","email":"gbarton@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":286052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":286053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dinehart, Randal L.","contributorId":21151,"corporation":false,"usgs":true,"family":"Dinehart","given":"Randal","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":286054,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":72768,"text":"cir1196U - 2005 - Mercury recycling in the United States in 2000","interactions":[{"subject":{"id":70911,"text":"ofr20051236 - 2005 - Mercury recycling in the United States in 2000","indexId":"ofr20051236","publicationYear":"2005","noYear":false,"title":"Mercury recycling in the United States in 2000"},"predicate":"SUPERSEDED_BY","object":{"id":72768,"text":"cir1196U - 2005 - Mercury recycling in the United States in 2000","indexId":"cir1196U","publicationYear":"2005","noYear":false,"chapter":"U","title":"Mercury recycling in the United States in 2000"},"id":1}],"lastModifiedDate":"2012-02-02T00:13:59","indexId":"cir1196U","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1196","chapter":"U","title":"Mercury recycling in the United States in 2000","docAbstract":"Reclamation and recycling of mercury from used mercury- containing products and treatment of byproduct mercury from gold mining is vital to the continued, though declining, use of this metal. Mercury is reclaimed from mercury-containing waste by treatment in multistep high-temperature retorts-the mercury is volatized and then condensed for purification and sale. Some mercury-containing waste, however, may be landfilled, and landfilled material represents loss of a recyclable resource and a threat to the environment. Related issues include mercury disposal and waste management, toxicity and human health, and regulation of mercury releases in the environment.\r\n\r\nEnd-users of mercury-containing products may face fines and prosecution if these products are improperly recycled or not recycled. Local and State environmental regulations require adherence to the Resource Conservation and Recovery Act and the Comprehensive Environmental Response, Compensation, and Liability Act to regulate generation, treatment, and disposal of mercury-containing products. In the United States, several large companies and a number of smaller companies collect these products from a variety of sources and then reclaim and recycle the mercury.\r\n\r\nBecause mercury has not been mined as a principal product in the United States since 1992, mercury reclamation from fabricated products has become the main source of mercury. Principal product mercury and byproduct mercury from mining operations are considered to be primary materials. Mercury may also be obtained as a byproduct from domestic or foreign gold-processing operations. \r\n\r\nIn the early 1990s, U.S. manufacturers used an annual average that ranged from 500 to 600 metric tons of recycled and imported mercury for fabrication of automobile convenience switches, dental amalgam, fluorescent lamps, medical uses and thermometers, and thermostats. The amount now used for fabrication is estimated to be 200 metric tons per year or less. Much of the data on mercury is estimated because it is a low-volume commodity and its production, use, and disposal is difficult to track. The prices and volumes of each category of mercury-containing material may change dramatically from year to year. For example, the average price of mercury was approximately $150 per flask from 2000 until 2003 and then rose sharply to $650 per flask in fall 2004 and approximately $850 per flask in spring 2005. Since 1927, the common unit for measuring and pricing mercury has been the flask in order to conform to the system used at Almaden, Spain (Meyers, 1951). One flask weighs 34.5 kilograms, and 29 flasks of mercury are contained in a metric ton.\r\n\r\nIn the United States, the chlorine-caustic soda industry, which is the leading end-user of elemental mercury, recycles most of its mercury in-plant as home scrap. Annual purchases of replacement mercury by the chlorine-caustic soda industry indicate that some mercury may be lost through evaporation to the environment, put into a landfill as industrial waste, or trapped within pipes in the plant. Impending closure of domestic and foreign mercury-cell chlorine-caustic soda plants and the shift to nonmercury technology for chlorine-caustic soda production could ultimately result in a significant volume of elemental mercury for recycling, sale, or storage. Globally, mercury is widely used in artisanal, or small-scale, gold mining. Most of that mercury is lost to the environment and is not recycled. The recycling rate for mercury was not available owing to insufficient data in 2000, and the efficiency of mercury recycling was estimated to be 62 percent.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Flow Studies for Recycling Metal Commodities in the United States","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","doi":"10.3133/cir1196U","collaboration":"Supersedes OFR 2005-1236","usgsCitation":"Brooks, W.E., and Matos, G.R., 2005, Mercury recycling in the United States in 2000 (Version 1.0): U.S. Geological Survey Circular 1196, 26 p., https://doi.org/10.3133/cir1196U.","productDescription":"26 p.","onlineOnly":"Y","temporalStart":"2000-01-01","temporalEnd":"2000-12-31","costCenters":[],"links":[{"id":193086,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7237,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/c1196u/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db624d80","contributors":{"authors":[{"text":"Brooks, William E.","contributorId":104061,"corporation":false,"usgs":true,"family":"Brooks","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":286060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matos, Grecia R. 0000-0002-3285-3070 gmatos@usgs.gov","orcid":"https://orcid.org/0000-0002-3285-3070","contributorId":2656,"corporation":false,"usgs":true,"family":"Matos","given":"Grecia","email":"gmatos@usgs.gov","middleInitial":"R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":286059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":72773,"text":"tm2A3 - 2005 - Selection and application of microbial source tracking tools for water-quality investigations","interactions":[],"lastModifiedDate":"2012-02-02T00:13:55","indexId":"tm2A3","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2-A3","title":"Selection and application of microbial source tracking tools for water-quality investigations","docAbstract":"Microbial source tracking (MST) is a complex process that includes many decision-making steps. Once a contamination problem has been defined, the potential user of MST tools must thoroughly consider study objectives before deciding upon a source identifier, a detection method, and an analytical approach to apply to the problem. Regardless of which MST protocol is chosen, underlying assumptions can affect the results and interpretation. It is crucial to incorporate tests of those assumptions in the study quality-control plan to help validate results and facilitate interpretation.\r\n\r\nDetailed descriptions of MST objectives, protocols, and assumptions are provided in this report to assist in selection and application of MST tools for water-quality investigations. Several case studies illustrate real-world applications of MST protocols over a range of settings, spatial scales, and types of contamination. Technical details of many available source identifiers and detection methods are included as appendixes. By use of this information, researchers should be able to formulate realistic expectations for the information that MST tools can provide and, where possible, successfully execute investigations to characterize sources of fecal contamination to resource waters. ","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Book 2. Collection of environmental data, Section A. Biological science","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","doi":"10.3133/tm2A3","usgsCitation":"Stoeckel, D.M., 2005, Selection and application of microbial source tracking tools for water-quality investigations: U.S. Geological Survey Techniques and Methods 2-A3, 49 p., https://doi.org/10.3133/tm2A3.","productDescription":"49 p.","costCenters":[],"links":[{"id":191930,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7238,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/2005/tm2a3/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689c70","contributors":{"authors":[{"text":"Stoeckel, Donald M.","contributorId":78384,"corporation":false,"usgs":true,"family":"Stoeckel","given":"Donald","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":286061,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":72774,"text":"sir20055205 - 2005 - Two-dimensional resistivity investigation of the North Cavalcade Street site, Houston, Texas, August 2003","interactions":[],"lastModifiedDate":"2016-08-22T12:46:43","indexId":"sir20055205","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5205","title":"Two-dimensional resistivity investigation of the North Cavalcade Street site, Houston, Texas, August 2003","docAbstract":"<p>The North Cavalcade Street site was first developed for wood treating in 1946. By 1955, pentachlorophenol wood preservation services and other support facilities, such as creosote ponds, pentachlorophenol and creosote storage structures, various tanks, lumber sheds, a treatment facility, and other buildings had been added. In 1961, the property was closed. To protect public health and welfare and the environment from release or threatened releases of hazardous substances, the U.S. Environmental Protection Agency added the North Cavalcade Street site to the National Priorities List on October 5, 1984. Between September 1985 and November 1987, the U.S. Environmental Protection Agency conducted a remedial investigation which, through exploratory drilling, determined the locations of two contaminated source areas and a normal fault. During August 2003, the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, conducted a two-dimensional (2D) resistivity investigation at the North Cavalcade Street site to provide additional characterization of the dense non-aqueous phase liquids and the lithologies that can influence contaminant migration. The 2D resistivity investigation used a capacitively coupled (CC) resistivity method as a reconnaissance tool to locate geophysical anomalies that could be associated with possible areas of creosote contamination. The inversion results of the CC resistivity survey identified resistive anomalies in the subsurface near the eastern and western contaminated source areas. A direct-current (DC) resistivity survey conducted near the CC resistivity survey confirmed the occurrence of subsurface resistive anomalies. The inversion results of the DC resistivity survey were used to define the subsurface distribution of resistivity at each line.</p>\n<p>Forward modeling was used as an interpretative tool to relate the subsurface distribution of resistivity from four DC resistivity lines to known, assumed, and hypothetical information on subsurface lithologies. The final forward models were used as an estimate of the true resistivity structure for the field data. The forward models and the inversion results of the forward models show the depth, thickness, and extent of strata as well as the resistive anomalies occurring along the four lines and the displacement of strata resulting from the Pecore Fault along two of the four DC resistivity lines. Ten additional DC resistivity lines show similarly distributed shallow subsurface lithologies of silty sand and clay strata. Eight priority areas of resistive anomalies were identified for evaluation in future studies. The interpreted DC resistivity data allowed subsurface stratigraphy to be extrapolated between existing boreholes resulting in an improved understanding of lithologies that can influence contaminant migration.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055205","usgsCitation":"Kress, W.H., and Teeple, A., 2005, Two-dimensional resistivity investigation of the North Cavalcade Street site, Houston, Texas, August 2003: U.S. Geological Survey Scientific Investigations Report 2005-5205, 34 p., https://doi.org/10.3133/sir20055205.","productDescription":"34 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":7278,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5205/","linkFileType":{"id":5,"text":"html"}},{"id":192798,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":327267,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2005/5205/pdf/sir2005-5205.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a48e4b07f02db623890","contributors":{"authors":[{"text":"Kress, Wade H.","contributorId":100475,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":286063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew   0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew  ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":286062,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":72776,"text":"ofr20051385 - 2005 - Variability in older forest structure in western Oregon","interactions":[],"lastModifiedDate":"2017-03-30T15:45:14","indexId":"ofr20051385","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1385","title":"Variability in older forest structure in western Oregon","docAbstract":"The goal of this report is to assist Federal land managers in developing realistic structural targets for young forests for which the development of late-successional and old-growth (LSOG) characteristics is a long-term management objective (i.e., in Late-Successional Reserves established under the Northwest Forest Plan). A unique LSOG structural database was created using complete inventories, or censuses (i.e., 100% timber cruise records), of all conifer trees > 1 ft diameter from 586 recently harvested older forests on five Bureau of Land Management (BLM) districts in western Oregon. The average area of each of the 586 inventoried older forests, 28.1 ac, clearly reflected the spatial scales typical of forest management units on Federal lands covered by the Northwest Forest Plan. All told, the LSOG database contains conifer tree census data for over 16,400 ac of LSOG forests. Ecoregion-level variability in LSOG forest structure was compared and contrasted for sites contained in the LSOG database. The spatial variability of trees and snags at 14 LSOG sites was characterized using structural data collected along one or more long (396-2178 ft) belt transects at each site.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20051385","usgsCitation":"Poage, N.J., 2005, Variability in older forest structure in western Oregon: U.S. Geological Survey Open-File Report 2005-1385, vi, 28 p., https://doi.org/10.3133/ofr20051385.","productDescription":"vi, 28 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192839,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2005/1385/coverthb.jpg"},{"id":10028,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1385/","linkFileType":{"id":5,"text":"html"}},{"id":7280,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2005/1385/pdf/ofr20051385.pdf","text":"Report","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2005-1385"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49bde4b07f02db5d0417","contributors":{"authors":[{"text":"Poage, Nathan J.","contributorId":70493,"corporation":false,"usgs":true,"family":"Poage","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":286067,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":72767,"text":"sir20045127 - 2005 - Aquifer properties, stream base flow, water use, and water levels in the Pohatcong Valley, Warren County, New Jersey","interactions":[],"lastModifiedDate":"2012-02-02T00:13:59","indexId":"sir20045127","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-5127","title":"Aquifer properties, stream base flow, water use, and water levels in the Pohatcong Valley, Warren County, New Jersey","docAbstract":"A study was conducted to define the hydrogeology and describe the ground-water flow in the Pohatcong Valley in Warren County, N.J. near the Pohatcong Valley Ground Water Contamination Site. The area is underlain by glacial till and alluvial sediments and weathered and competent carbonate bedrock. The northwest and southeast valley boundaries are regional-scale thrust faults and ridges underlain by crystalline rocks. The unconsolidated sediments and weathered bedrock form a minor surficial aquifer. The carbonate rocks form a highly transmissive fractured-rock aquifer with well yields commonly as high as 500 gallons per minute. Ground-water recharge and flow in the crystalline-rock aquifer bordering the valley is minor compared to flow in the carbonate-rock aquifer, and little ground water flows into the carbonate-rock aquifer directly from the crystalline-rock aquifer. The thrust faults separating the carbonate and crystalline rocks may further impede flow between the two rock types.\r\n\r\n \r\n\r\nInterpretations of water-level and transmissivity data collected during 2000 to 2003 indicate that the carbonate formations generally can be considered to be one aquifer. The transmissivity of the carbonate-rock aquifer was estimated from the results of four aquifer tests conducted with two public supply wells. The transmissivity estimated from aquifer tests at a well located in Washington Borough is about 8,600 square feet per day. An aquifer test at a well located near the southwest border of Washington Borough was conducted to estimate transmissivity and the direction and magnitude of anisotropy. The estimated direction of maximum horizontal transmissivity near the second well is about 58? east of north and the magnitude is 7,600 square feet per day. The minimum horizontal transmissivity is 3,500 square feet per day and the ratio of anisotropy (maximum transmissivity to minimum transmissivity) is 2.2 to 1.\r\n\r\n \r\n\r\nStream base-flow data indicate that Pohatcong Creek steadily gains flow, but most of the gain is from tributaries originating in the crystalline rock areas (valley walls). Therefore, it is concluded there are no major heterogeneities (such as karst springs) in ground-water discharge to surface water. During periods of low ground-water levels, it is likely that, within the study area, Pohatcong Creek gains no flow from the carbonate-rock aquifer and may even lose flow to the surficial aquifer (which then recharges the carbonate-rock aquifer).\r\n\r\n \r\n\r\nThere are few sites in the Pohatcong Valley with large-scale (greater than 10 million gallons per year) ground- or surface-water withdrawals. The only substantial withdrawals in the valley are from two public supply wells and from two industrial facilities. Average annual withdrawals during 1997-2002 at these four locations totaled 298 million gallons per year. About 95 percent of the water withdrawn by the large industrial user (108 million gallons per year) is re-injected into the aquifer.\r\n\r\n \r\n\r\nIn some locations throughout the valley, water levels in the shallow surficial deposits were substantially higher than those in underlying carbonate-rock aquifer. Water levels in the deep part of the surficial aquifer and underlying carbonate-rock aquifer were similar, although the gradients were often (but not always) downward. Furthermore, data collected during aquifer tests at a public supply well in Washington Borough and a public-supply well west of Washington Borough show that the deep part of the surficial aquifer is hydraulically well connected to the underlying carbonate-rock aquifer at these two locations. The shallow surficial deposits, however, are not well connected to the deep surficial deposits and carbonate rock at these two locations. \r\n\r\n \r\n\r\nThe overall ground-water-flow pattern in the valley appears to be that precipitation recharges the surficial aquifer and is discharged from the surficial aquifer to the underlying bedrock aquifer and the Pohatcong Creek and its tri","language":"ENGLISH","doi":"10.3133/sir20045127","usgsCitation":"Carleton, G., Gordon, A., and Wieben, C., 2005, Aquifer properties, stream base flow, water use, and water levels in the Pohatcong Valley, Warren County, New Jersey (Online only): U.S. Geological Survey Scientific Investigations Report 2004-5127, NA, https://doi.org/10.3133/sir20045127.","productDescription":"NA","onlineOnly":"Y","costCenters":[],"links":[{"id":193085,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7236,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5127/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a61bc","contributors":{"authors":[{"text":"Carleton, G.B.","contributorId":107729,"corporation":false,"usgs":true,"family":"Carleton","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":286058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gordon, A.D.","contributorId":103711,"corporation":false,"usgs":true,"family":"Gordon","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":286057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wieben, C.M. 0000-0001-5825-5119","orcid":"https://orcid.org/0000-0001-5825-5119","contributorId":100491,"corporation":false,"usgs":true,"family":"Wieben","given":"C.M.","affiliations":[],"preferred":false,"id":286056,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":72752,"text":"wdrPR031 - 2005 - Water resources data Puerto Rico and the U.S. Virgin Islands water year 2003","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"wdrPR031","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"PR-03-1","title":"Water resources data Puerto Rico and the U.S. Virgin Islands water year 2003","language":"ENGLISH","doi":"10.3133/wdrPR031","usgsCitation":"Diaz, P.L., Aquino, Z., Figueroa-Alamo, C., Garcia, R., and Sanchez, A.V., 2005, Water resources data Puerto Rico and the U.S. Virgin Islands water year 2003: U.S. Geological Survey Water Data Report PR-03-1, 583 p., https://doi.org/10.3133/wdrPR031.","productDescription":"583 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":192587,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7224,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/wdr-pr-03-1/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.41666666666667,17.833333333333332 ], [ -67.41666666666667,18.833333333333332 ], [ -64.83333333333333,18.833333333333332 ], [ -64.83333333333333,17.833333333333332 ], [ -67.41666666666667,17.833333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db688ea8","contributors":{"authors":[{"text":"Diaz, Pedro L.","contributorId":40663,"corporation":false,"usgs":true,"family":"Diaz","given":"Pedro","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":286018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aquino, Zaida","contributorId":71621,"corporation":false,"usgs":true,"family":"Aquino","given":"Zaida","email":"","affiliations":[],"preferred":false,"id":286020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Figueroa-Alamo, Carlos","contributorId":95904,"corporation":false,"usgs":true,"family":"Figueroa-Alamo","given":"Carlos","email":"","affiliations":[],"preferred":false,"id":286021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Rene","contributorId":106089,"corporation":false,"usgs":true,"family":"Garcia","given":"Rene","email":"","affiliations":[],"preferred":false,"id":286022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanchez, Ana V.","contributorId":43424,"corporation":false,"usgs":true,"family":"Sanchez","given":"Ana","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":286019,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":72755,"text":"sir20055154 - 2005 - Hydrologic, water-quality, and biological assessment of Laguna de las Salinas, Ponce, Puerto Rico, January 2003-September 2004","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"sir20055154","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5154","title":"Hydrologic, water-quality, and biological assessment of Laguna de las Salinas, Ponce, Puerto Rico, January 2003-September 2004","docAbstract":"The Laguna de Las Salinas is a shallow, 35-hectare, hypersaline lagoon (depth less than 1 meter) in the municipio of Ponce, located on the southern coastal plain of Puerto Rico. Hydrologic, water-quality, and biological data in the lagoon were collected between January 2003 and September 2004 to establish baseline conditions. During the study period, rainfall was about 1,130 millimeters, with much of the rain recorded during three distinct intense events. The lagoon is connected to the sea by a shallow, narrow channel. Subtle tidal changes, combined with low rainfall and high evaporation rates, kept the lagoon at salinities above that of the sea throughout most of the study. Water-quality properties measured on-site (temperature, pH, dissolved oxygen, specific conductance, and Secchi disk transparency) exhibited temporal rather than spatial variations and distribution. Although all physical parameters were in compliance with current regulatory standards for Puerto Rico, hyperthermic and hypoxic conditions were recorded during isolated occasions. Nutrient concentrations were relatively low and in compliance with current regulatory standards (less than 5.0 and 1.0 milligrams per liter for total nitrogen and total phosphorus, respectively). The average total nitrogen concentration was 1.9 milligrams per liter and the average total phosphorus concentration was 0.4 milligram per liter. Total organic carbon concentrations ranged from 12.0 to 19.0 milligrams per liter. Chlorophyll a was the predominant form of photosynthetic pigment in the water. The average chlorophyll a concentration was 13.4 micrograms per liter. Chlorophyll b was detected (detection limits 0.10 microgram per liter) only twice during the study. About 90 percent of the primary productivity in the Laguna de Las Salinas was generated by periphyton such as algal mats and macrophytes such as seagrasses. Of the average net productivity of 13.6 grams of oxygen per cubic meter per day derived from the diel study, the periphyton and macrophyes produced 12.3 grams per cubic meter per day; about 1.3 grams (about 10 percent) were produced by the phytoplankton (plant and algae component of plankton). The total respiration rate was 59.2 grams of oxygen per cubic meter per day. The respiration rate ascribed to the plankton (all organisms floating through the water column) averaged about 6.2 grams of oxygen per cubic meter per day (about 10 percent), whereas the respiration rate by all other organisms averaged 53.0 grams of oxygen per cubic meter per day (about 90 percent). Plankton gross productivity was 7.5 grams per cubic meter per day; the gross productivity of the entire community averaged 72.8 grams per cubic meter per day. Fecal coliform bacteria counts were generally less than 200 colonies per 100 milliliters; the highest concentration was 600 colonies per 100 milliliters.","language":"ENGLISH","doi":"10.3133/sir20055154","usgsCitation":"Soler-Lopez, L.R., Gómez-Gómez, F., and Rodríguez-Martínez, J., 2005, Hydrologic, water-quality, and biological assessment of Laguna de las Salinas, Ponce, Puerto Rico, January 2003-September 2004 (Online only): U.S. Geological Survey Scientific Investigations Report 2005-5154, vi, 50 p., https://doi.org/10.3133/sir20055154.","productDescription":"vi, 50 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":192590,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7227,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5154/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.16666666666667,18.616666666666667 ], [ -67.16666666666667,18.033333333333335 ], [ -67.08333333333333,18.033333333333335 ], [ -67.08333333333333,18.616666666666667 ], [ -67.16666666666667,18.616666666666667 ] ] ] } } ] }","edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e990","contributors":{"authors":[{"text":"Soler-Lopez, Luis R.","contributorId":27501,"corporation":false,"usgs":true,"family":"Soler-Lopez","given":"Luis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":286026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gómez-Gómez, Fernando","contributorId":31366,"corporation":false,"usgs":true,"family":"Gómez-Gómez","given":"Fernando","affiliations":[],"preferred":false,"id":286027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodríguez-Martínez, Jesús","contributorId":48149,"corporation":false,"usgs":true,"family":"Rodríguez-Martínez","given":"Jesús","affiliations":[],"preferred":false,"id":286028,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":72757,"text":"ofr20051412 - 2005 - Input data used to generate one-dimensional burial history models, central Alberta, Canada","interactions":[],"lastModifiedDate":"2018-01-08T13:19:02","indexId":"ofr20051412","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1412","title":"Input data used to generate one-dimensional burial history models, central Alberta, Canada","language":"ENGLISH","doi":"10.3133/ofr20051412","usgsCitation":"Roberts, L.N., Higley, D.K., and Henry, M.E., 2005, Input data used to generate one-dimensional burial history models, central Alberta, Canada (Online only, Version 1.0): U.S. Geological Survey Open-File Report 2005-1412, 14 p. : ill., 2 plates, https://doi.org/10.3133/ofr20051412.","productDescription":"14 p. : ill., 2 plates","onlineOnly":"Y","costCenters":[],"links":[{"id":193022,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7229,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1412/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only, Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d99e","contributors":{"authors":[{"text":"Roberts, Laura N.R.","contributorId":79530,"corporation":false,"usgs":true,"family":"Roberts","given":"Laura","email":"","middleInitial":"N.R.","affiliations":[],"preferred":false,"id":286036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":286034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Mitchell E.","contributorId":57447,"corporation":false,"usgs":true,"family":"Henry","given":"Mitchell","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":286035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":72760,"text":"ofr20051263 - 2005 - Quality management system, U.S. Geological Survey National Water Quality Laboratory","interactions":[],"lastModifiedDate":"2021-05-28T15:46:43.64089","indexId":"ofr20051263","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1263","title":"Quality management system, U.S. Geological Survey National Water Quality Laboratory","docAbstract":"<p>A quality management system (QMS) is a document that describes the quality policy, system, and practices of an organization. The document may include by reference other publications relating to the laboratory's arrangements.</p><p>The U.S. Geological Survey QMS describes the policies, objectives, principles, organizational authority, responsibilities, accountability, and implementation plan of the National Water Quality Laboratory (NWQL) for ensuring quality in its work processes, products, and services. It includes all operations associated with its internal management and extends as far as practicable toward the field-sampling component and the data user.</p><p>The quality system described in the QMS is the framework for planning, implementing, and assessing work performed by the NWQL and for carrying out required quality assurance and quality control for compliance with the standards set by the National Environmental Laboratory Accreditation Conference.</p><p>All personnel associated with the NWQL, including Federal and non-Federal employees, are bound by the requirements set forth in the policies, processes, and standard operating procedures included or referenced in this document.</p>","language":"English","doi":"10.3133/ofr20051263","usgsCitation":"2005, Quality management system, U.S. Geological Survey National Water Quality Laboratory (Version 1.3): U.S. Geological Survey Open-File Report 2005-1263, 93 p., https://doi.org/10.3133/ofr20051263.","productDescription":"93 p.","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":193025,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7232,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1263/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a8fe4b07f02db6551a1","contributors":{"editors":[{"text":"Maloney, Thomas J.","contributorId":35736,"corporation":false,"usgs":true,"family":"Maloney","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":749231,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":72759,"text":"ofr20051419 - 2005 - Graphical user interface for accessing water-quality data for the Devils Lake basin, North Dakota","interactions":[],"lastModifiedDate":"2018-03-21T14:18:24","indexId":"ofr20051419","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1419","title":"Graphical user interface for accessing water-quality data for the Devils Lake basin, North Dakota","docAbstract":"<p><span>Maintaining the quality of surface waters in the Devils Lake Basin in North Dakota is important for protecting the agricultural resources, fisheries, waterfowl and wildlife habitat, and recreational value of the basin. The U.S. Geological Survey, in cooperation with local, State, and Federal agencies, has collected and analyzed water-quality samples from streams and lakes in the basin since 1957, and the North Dakota Department of Health has collected and analyzed water-quality samples from lakes in the basin since 2001. Because water-quality data for the basin are important for numerous reasons, a graphical user interface was developed to access, view, and download the historical data for the basin. The interface is a web-based application that is available to the public and includes data through water year 2003. The interface will be updated periodically to include data for subsequent years.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20051419","usgsCitation":"Ryberg, K.R., Damschen, W., and Vecchia, A.V., 2005, Graphical user interface for accessing water-quality data for the Devils Lake basin, North Dakota: U.S. Geological Survey Open-File Report 2005-1419, iii, 15 p., https://doi.org/10.3133/ofr20051419.","productDescription":"iii, 15 p.","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":193024,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7231,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1419/","linkFileType":{"id":5,"text":"html"}},{"id":352704,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2005/1419/pdf/ofr20051419.pdf"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.83333333333333,48.333333333333336 ], [ -99.83333333333333,49.5 ], [ -98.33333333333333,49.5 ], [ -98.33333333333333,48.333333333333336 ], [ -99.83333333333333,48.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672397","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Damschen, William C. wcdamsch@usgs.gov","contributorId":1610,"corporation":false,"usgs":true,"family":"Damschen","given":"William C.","email":"wcdamsch@usgs.gov","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":286046,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":72756,"text":"ofr20051343 - 2005 - Conodont database and analysis of conodont color alteration patterns in the Las Vegas 30' X 60' quadrangle, Clark and Nye Counties, Nevada, and Inyo County, California","interactions":[],"lastModifiedDate":"2021-10-08T15:32:32.514234","indexId":"ofr20051343","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1343","title":"Conodont database and analysis of conodont color alteration patterns in the Las Vegas 30' X 60' quadrangle, Clark and Nye Counties, Nevada, and Inyo County, California","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051343","usgsCitation":"Harris, A.G., Page, W.R., Krumhardt, A.P., Repetski, J.E., and Turner, K.J., 2005, Conodont database and analysis of conodont color alteration patterns in the Las Vegas 30' X 60' quadrangle, Clark and Nye Counties, Nevada, and Inyo County, California (Online only, Version 1.0): U.S. Geological Survey Open-File Report 2005-1343, 39 p., https://doi.org/10.3133/ofr20051343.","productDescription":"39 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":192965,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":390338,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_74260.htm"},{"id":7228,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1343/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California, Nevada","county":"Clark County, Inyo County, Nye County","otherGeospatial":"Las Vegas 30' X 60' quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116,\n              36\n            ],\n            [\n              -115,\n              36\n            ],\n            [\n              -115,\n              36.5\n            ],\n            [\n              -116,\n              36.5\n            ],\n            [\n              -116,\n              36\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Online only, Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b13e4b07f02db6a319d","contributors":{"authors":[{"text":"Harris, Anita G.","contributorId":50162,"corporation":false,"usgs":true,"family":"Harris","given":"Anita","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":286032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, William R. 0000-0002-0722-9911 rpage@usgs.gov","orcid":"https://orcid.org/0000-0002-0722-9911","contributorId":1628,"corporation":false,"usgs":true,"family":"Page","given":"William","email":"rpage@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":286030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krumhardt, Andrea P.","contributorId":71946,"corporation":false,"usgs":true,"family":"Krumhardt","given":"Andrea","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":286033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":286031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, Kenzie J. 0000-0002-4940-3981 kturner@usgs.gov","orcid":"https://orcid.org/0000-0002-4940-3981","contributorId":496,"corporation":false,"usgs":true,"family":"Turner","given":"Kenzie","email":"kturner@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":286029,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":72753,"text":"sir20055153 - 2005 - Bankfull characteristics of Ohio streams and their relation to peak streamflows","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"sir20055153","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5153","title":"Bankfull characteristics of Ohio streams and their relation to peak streamflows","docAbstract":"Regional curves, simple-regression equations, and multiple-regression equations were developed to estimate bankfull width, bankfull mean depth, bankfull cross-sectional area, and bankfull discharge of rural, unregulated streams in Ohio. The methods are based on geomorphic, basin, and flood-frequency data collected at 50 study sites on unregulated natural alluvial streams in Ohio, of which 40 sites are near streamflow-gaging stations. The regional curves and simple-regression equations relate the bankfull characteristics to drainage area. The multiple-regression equations relate the bankfull characteristics to drainage area, main-channel slope, main-channel elevation index, median bed-material particle size, bankfull cross-sectional area, and local-channel slope. Average standard errors of prediction for bankfull width equations range from 20.6 to 24.8 percent; for bankfull mean depth, 18.8 to 20.6 percent; for bankfull cross-sectional area, 25.4 to 30.6 percent; and for bankfull discharge, 27.0 to 78.7 percent. The simple-regression (drainage-area only) equations have the highest average standard errors of prediction. The multiple-regression equations in which the explanatory variables included drainage area, main-channel slope, main-channel elevation index, median bed-material particle size, bankfull cross-sectional area, and local-channel slope have the lowest average standard errors of prediction. \r\n\r\nField surveys were done at each of the 50 study sites to collect the geomorphic data. Bankfull indicators were identified and evaluated, cross-section and longitudinal profiles were surveyed, and bed- and bank-material were sampled. Field data were analyzed to determine various geomorphic characteristics such as bankfull width, bankfull mean depth, bankfull cross-sectional area, bankfull discharge, streambed slope, and bed- and bank-material particle-size distribution. The various geomorphic characteristics were analyzed by means of a combination of graphical and statistical techniques. \r\n\r\nThe logarithms of the annual peak discharges for the 40 gaged study sites were fit by a Pearson Type III frequency distribution to develop flood-peak discharges associated with recurrence intervals of 2, 5, 10, 25, 50, and 100 years. The peak-frequency data were related to geomorphic, basin, and climatic variables by multiple-regression analysis. Simple-regression equations were developed to estimate 2-, 5-, 10-, 25-, 50-, and 100-year flood-peak discharges of rural, unregulated streams in Ohio from bankfull channel cross-sectional area. The average standard errors of prediction are 31.6, 32.6, 35.9, 41.5, 46.2, and 51.2 percent, respectively. \r\n\r\nThe study and methods developed are intended to improve understanding of the relations between geomorphic, basin, and flood characteristics of streams in Ohio and to aid in the design of hydraulic structures, such as culverts and bridges, where stability of the stream and structure is an important element of the design criteria. The study was done in cooperation with the Ohio Department of Transportation and the U.S. Department of Transportation, Federal Highway Administration.","language":"ENGLISH","doi":"10.3133/sir20055153","usgsCitation":"Sherwood, J.M., and Huitger, C.A., 2005, Bankfull characteristics of Ohio streams and their relation to peak streamflows: U.S. Geological Survey Scientific Investigations Report 2005-5153, 52 p.; dataset available at http://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2005-5153_ohio_bankfull_data.xml, https://doi.org/10.3133/sir20055153.","productDescription":"52 p.; dataset available at http://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2005-5153_ohio_bankfull_data.xml","costCenters":[],"links":[{"id":192588,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7225,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5153/","linkFileType":{"id":5,"text":"html"}},{"id":8613,"rank":9999,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2005-5153_ohio_bankfull_data.xml"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.880580,38.370696 ], [ -84.880580,41.721046 ], [ -80.720329,41.721046 ], [ -80.720329,38.370696 ], [ -84.880580,38.370696 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e481fe4b07f02db4e0c55","contributors":{"authors":[{"text":"Sherwood, James M.","contributorId":106878,"corporation":false,"usgs":true,"family":"Sherwood","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":286024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huitger, Carrie A. chuitger@usgs.gov","contributorId":1851,"corporation":false,"usgs":true,"family":"Huitger","given":"Carrie","email":"chuitger@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286023,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70259129,"text":"70259129 - 2005 - Evaluating MODIS data to estimate irrigated crop production in Afghanistan using a thermal-based ET fraction approach","interactions":[],"lastModifiedDate":"2024-09-27T16:35:10.848076","indexId":"70259129","displayToPublicDate":"2005-12-01T11:26:23","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluating MODIS data to estimate irrigated crop production in Afghanistan using a thermal-based ET fraction approach","docAbstract":"<p>Accurate crop performance monitoring and production estimation is critical for timely assessment of the food balance of several countries in the world. Recently, the Famine Early Warning System Network (FEWS NET) has been monitoring crop performance and to some extent relative production using satellite derived data and simulation models in Africa, Central America and Afghanistan where ground based monitoring is limited due to the scarcity of weather stations. The commonly used crop monitoring models use a crop water balance algorithm with inputs from satellite-derived rainfall. While these models provide useful monitoring for rain-fed agriculture, they are ineffective for irrigated areas. Over 80% of the agricultural production in Afghanistan is from irrigated agriculture. In this study, we implemented a thermal-based ET fraction approach to monitor and assess the performance of irrigated agriculture in Afghanistan using the combination of 250-m NDVI and 1-km Land Surface Temperature (LST) data from MODIS. Six images per year were used to estimate seasonal evapotranspiration (ET) from irrigated lands in a given growing season between 2000 and 2004. Seasonal ET estimates from the different years were used as relative indicators of year-to-year production magnitude differences. The results were comparable to field reports and crop water balance based estimates for irrigated watersheds in that 2003 was a good year for crop production in Afghanistan. The advantage of this method over crop water balance method is that it helps identify irrigated areas directly and thus helps estimate total irrigated area and its spatial distribution in a given region. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Global priorities in land remote sensing","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"William T. Pecora Memorial Symposium on Remote Sensing, 16th","conferenceDate":"October 23-27, 2005","conferenceLocation":"Sioux Falls, SD","language":"English","publisher":"ASPRS","usgsCitation":"Senay, G.B., Budde, M., Rowland, J., and Verdin, J.P., 2005, Evaluating MODIS data to estimate irrigated crop production in Afghanistan using a thermal-based ET fraction approach, <i>in</i> Global priorities in land remote sensing, Sioux Falls, SD, October 23-27, 2005, 11 p.","productDescription":"11 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462347,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Conference-Proceedings.html","linkFileType":{"id":5,"text":"html"}},{"id":462348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budde, Michael 0000-0002-9098-2751 mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":166756,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, J.","contributorId":18539,"corporation":false,"usgs":true,"family":"Rowland","given":"J.","email":"","affiliations":[],"preferred":false,"id":914271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":914272,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70259528,"text":"70259528 - 2005 - Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining","interactions":[],"lastModifiedDate":"2024-10-10T16:40:09.669805","indexId":"70259528","displayToPublicDate":"2005-12-01T11:23:51","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining","docAbstract":"<p>Geospatial data sets, especially digital elevation data, have proven useful for characterizing and analyzing land surface conditions. Digital elevation models are routinely used for describing the morphology of the land surface in terms of slope gradient and aspect. Additionally, the elevation data are useful for deriving parameters that describe the local drainage conditions such as watersheds and stream channels. When the element of time is added to the analysis through the use of multi-temporal topographic data, the effects of changes to the physical shape of the land surface may be studied. Such is the case with analysis of historical (pre-mining) and recent (post-mining) topographic and other geospatial data sets, including land cover maps derived from remote sensing. Nationwide geospatial data sets now exist with the required spatial and temporal resolution that allow for assessment of the effects of surface mining operations. Changes to the local landscape morphology are readily identified, and the effects to the surface drainage features are quantifiable, such as changes to local relief and drainage pattern and the total length of affected streams. Additionally, the visual impact of the movement of rock and soil materials may be assessed through viewshed analysis. Examples in both Appalachian and Western coalfields show the usefulness of analyzing detailed historical and recent geospatial data sets to better map and describe the effects of surface mining. </p>","conferenceTitle":"Annual National Conference, 22nd","conferenceDate":"June 19-23, 2005","conferenceLocation":"Breckenridge, CO","language":"English","publisher":"American Society of Mining and Reclamation","usgsCitation":"Gesch, D.B., 2005, Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining, Annual National Conference, 22nd, Breckenridge, CO, June 19-23, 2005, p. 415-432.","productDescription":"18 p.","startPage":"415","endPage":"432","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462793,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asrs.us/past-asrs-meetings/2005-brekenridge-co-member/","linkFileType":{"id":5,"text":"html"}},{"id":462794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","county":"Perry County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.51228609749789,\n              37.433869813899946\n            ],\n            [\n              -83.51228609749789,\n              37.226507045303904\n            ],\n            [\n              -83.15978645381992,\n              37.226507045303904\n            ],\n            [\n              -83.15978645381992,\n              37.433869813899946\n            ],\n            [\n              -83.51228609749789,\n              37.433869813899946\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":915622,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70259127,"text":"70259127 - 2005 - Landsat 7 scan line corrector-off gap-filled product development","interactions":[],"lastModifiedDate":"2024-09-27T16:23:06.366893","indexId":"70259127","displayToPublicDate":"2005-12-01T11:16:42","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat 7 scan line corrector-off gap-filled product development","docAbstract":"<p>The Landsat 7 Enhanced Thematic Mapper Plus (ETM+) scan line corrector (SLC) failed on May 31, 2003, causing the scanning pattern to exhibit wedge-shaped scan-to-scan gaps. The ETM+ has continued to acquire data with the SLC powered off, leading to images that are missing approximately 22 percent of the normal scene area. To improve the utility of the SLC-off data, the U.S. Geological Survey (USGS) developed new products that use the data from multiple ETM+ scenes to provide complete ground coverage. These gap-filled products were developed and deployed in two phases. The gaps in the Phase I products are filled with data from imagery collected previously with a functional SLC (SLC-on). A single SLC-on scene provides complete coverage of the scan gaps, making the gap-filling procedure straightforward. Several radiometric adjustment techniques for matching the SLC-on fill scene to the SLC-off primary scene were evaluated for performance, processing speed, and ease of implementation. A simple local histogram matching method was adopted as a result of this evaluation. The Phase II products use data from multiple SLC-off scenes to fill the scan gaps with more recent data. Because the locations of the scan gaps are different for each SLC-off scene, the gap-filling process must account for scan gap interactions. The Phase II product development included a more comprehensive study of candidate radiometric adjustment techniques. This study showed that the histogram matching method used in Phase I, with minor refinements, provided the best overall performance and was adopted for Phase II as well. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Global priorities in land remote sensing","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"William T. Pecora Memorial Symposium on Remote Sensing, 16th","conferenceDate":"October 23-27, 2005","conferenceLocation":"Sioux Falls, SD","language":"English","publisher":"ASPRS","usgsCitation":"Storey, J.C., Scaramuzza, P., Schmidt, G.L., and Barsi, J., 2005, Landsat 7 scan line corrector-off gap-filled product development, <i>in</i> Global priorities in land remote sensing, Sioux Falls, SD, October 23-27, 2005, 13 p.","productDescription":"13 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462345,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Conference-Proceedings.html","linkFileType":{"id":5,"text":"html"}},{"id":462346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":914265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scaramuzza, Pasquale 0000-0002-2616-8456","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":344596,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pasquale","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":914266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Gail L. 0000-0002-9684-8158 gschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-9684-8158","contributorId":3475,"corporation":false,"usgs":true,"family":"Schmidt","given":"Gail","email":"gschmidt@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barsi, Julia","contributorId":251781,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":914268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70253055,"text":"pp1688B - 2005 - Petrography, structure, age, and thermal history of granitic coastal plain basement in the Chesapeake Bay impact structure, USGS-NASA Langley core, Hampton, Virginia","interactions":[{"subject":{"id":70253055,"text":"pp1688B - 2005 - Petrography, structure, age, and thermal history of granitic coastal plain basement in the Chesapeake Bay impact structure, USGS-NASA Langley core, Hampton, Virginia","indexId":"pp1688B","publicationYear":"2005","noYear":false,"chapter":"B","title":"Petrography, structure, age, and thermal history of granitic coastal plain basement in the Chesapeake Bay impact structure, USGS-NASA Langley core, Hampton, Virginia"},"predicate":"IS_PART_OF","object":{"id":69857,"text":"pp1688 - 2005 - Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys","indexId":"pp1688","publicationYear":"2005","noYear":false,"title":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys"},"id":1}],"isPartOf":{"id":69857,"text":"pp1688 - 2005 - Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys","indexId":"pp1688","publicationYear":"2005","noYear":false,"title":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys"},"lastModifiedDate":"2024-04-17T16:13:00.895736","indexId":"pp1688B","displayToPublicDate":"2005-12-01T11:07:33","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1688","chapter":"B","title":"Petrography, structure, age, and thermal history of granitic coastal plain basement in the Chesapeake Bay impact structure, USGS-NASA Langley core, Hampton, Virginia","docAbstract":"<p><span>The USGS-NASA&nbsp;</span><span class=\"ScopusTermHighlight\">Langley</span><span>&nbsp;corehole at&nbsp;</span><span class=\"ScopusTermHighlight\">Hampton</span><span>, Va., was drilled&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;2000 and was the first corehole to reach&nbsp;</span><span class=\"ScopusTermHighlight\">coastal</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">plain</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">basement</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the late Eocene&nbsp;</span><span class=\"ScopusTermHighlight\">Chesapeake</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">Bay</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">structure</span><span>. The&nbsp;</span><span class=\"ScopusTermHighlight\">Langley</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">core</span><span>&nbsp;provided samples of granite that had been concealed by 626.3 meters (2,054.7 feet) of preimpact, synimpact, and postimpact sediments. The granite, here named the&nbsp;</span><span class=\"ScopusTermHighlight\">Langley</span><span>&nbsp;Granite, is pale red, medium grained, massive, and homogeneous&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;composition and fabric. It has a peraluminous composition (alumina saturation index 1.1) and a seriate-inequigranular, hypidiomorphic, isotropic fabric. A pervasive secondary mineral assemblage of chlorite + albite + clinozoisite is consistent with either deuteric alteration or lower greenschist-facies metamorphism. Chlorite, the principal mafic mineral, occurs as tabular masses that suggest pseudomorphous replacement of biotite. The top of the granite is weathered but not saprolitized and is nonconformably overlain by Lower Cretaceous clastic sediments. A SHRIMP&nbsp;</span><sup>206</sup><span>Pb/</span><sup>238</sup><span>U weighted average zircon&nbsp;</span><span class=\"ScopusTermHighlight\">age</span><span>&nbsp;of 612±10 Ma (2σ) indicates Neoproterozoic crystallization of the&nbsp;</span><span class=\"ScopusTermHighlight\">Langley</span><span>&nbsp;Granite. The&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages of microcline and plagioclase are consistent with regional cooling and uplift after the late Paleozoic Alleghanian orogeny. Zircon and apatite fission-track cooling ages of 375±44 Ma and 184±32 Ma (2σ), respectively, indicate no discernible&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>-related&nbsp;</span><span class=\"ScopusTermHighlight\">thermal</span><span>&nbsp;disturbance at the&nbsp;</span><span class=\"ScopusTermHighlight\">Langley</span><span>&nbsp;corehole location&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the annular trough of the&nbsp;</span><span class=\"ScopusTermHighlight\">structure</span><span>&nbsp;about 19 kilometers (12 miles) outside the margin of the central crater. Modeling the apatite fission-track data places upper limits on the&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>-related heating at this location. For an&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>-related&nbsp;</span><span class=\"ScopusTermHighlight\">thermal</span><span>&nbsp;disturbance equivalent to a modeled&nbsp;</span><span class=\"ScopusTermHighlight\">thermal</span><span>&nbsp;spike having a duration of 1 to 0.1 million years, temperatures&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;this part of the&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">structure</span><span>&nbsp;could not have been higher than about 100°C-120°C. Most fractures, faults, and veins&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the&nbsp;</span><span class=\"ScopusTermHighlight\">Langley</span><span>&nbsp;Granite contain lower greenschist-facies minerals and are inferred to predate the&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>. No shock-metamorphosed minerals or other features clearly attributable to the&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>&nbsp;were found&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the granite. Studies of the granite provide a glimpse into the nature of crystalline terranes beneath the Atlantic&nbsp;</span><span class=\"ScopusTermHighlight\">Coastal</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">Plain</span><span>&nbsp;and&nbsp;</span><span class=\"ScopusTermHighlight\">Chesapeake</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">Bay</span><span>&nbsp;and provide limits on the geographic extent of&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>-generated shock and&nbsp;</span><span class=\"ScopusTermHighlight\">thermal</span><span>&nbsp;effects.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys (Professional Paper 1688)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1688B","usgsCitation":"Horton,, J., Powars, D.S., and Gohn, G., 2005, Petrography, structure, age, and thermal history of granitic coastal plain basement in the Chesapeake Bay impact structure, USGS-NASA Langley core, Hampton, Virginia: U.S. Geological Survey Professional Paper 1688, iv, 29 p., https://doi.org/10.3133/pp1688B.","productDescription":"iv, 29 p.","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":427848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.63787841796875,\n              36.9806150652861\n            ],\n            [\n              -76.26708984375,\n              36.9806150652861\n            ],\n            [\n              -76.26708984375,\n              37.293720520228696\n            ],\n            [\n              -76.63787841796875,\n              37.293720520228696\n            ],\n            [\n              -76.63787841796875,\n              36.9806150652861\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":899036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":899037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gohn, Gregory 0000-0003-2000-479X ggohn@usgs.gov","orcid":"https://orcid.org/0000-0003-2000-479X","contributorId":219822,"corporation":false,"usgs":true,"family":"Gohn","given":"Gregory","email":"ggohn@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":899038,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70253054,"text":"pp1688A - 2005 - Studies of the Chesapeake Bay impact structure - Introduction and discussion","interactions":[{"subject":{"id":70253054,"text":"pp1688A - 2005 - Studies of the Chesapeake Bay impact structure - Introduction and discussion","indexId":"pp1688A","publicationYear":"2005","noYear":false,"chapter":"A","title":"Studies of the Chesapeake Bay impact structure - Introduction and discussion"},"predicate":"IS_PART_OF","object":{"id":69857,"text":"pp1688 - 2005 - Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys","indexId":"pp1688","publicationYear":"2005","noYear":false,"title":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys"},"id":1}],"isPartOf":{"id":69857,"text":"pp1688 - 2005 - Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys","indexId":"pp1688","publicationYear":"2005","noYear":false,"title":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys"},"lastModifiedDate":"2024-04-17T16:05:24.680947","indexId":"pp1688A","displayToPublicDate":"2005-12-01T11:00:52","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1688","chapter":"A","title":"Studies of the Chesapeake Bay impact structure - Introduction and discussion","docAbstract":"<p><span>The late Eocene&nbsp;</span><span class=\"ScopusTermHighlight\">Chesapeake</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">Bay</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>&nbsp;</span><span class=\"ScopusTermHighlight\">structure</span><span>&nbsp;on the Atlantic margin of&nbsp;</span><span class=\"ScopusTermHighlight\">Virginia</span><span>&nbsp;is the largest known&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>&nbsp;crater&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the United States, and it may be the Earth's best preserved example of a large&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>&nbsp;crater that formed on a predominantly siliciclastic continental shelf. The 85-kilometer-wide (53-milewide) crater also coincides with a region of saline ground water. It has a profound influence on ground-water quality and flow&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;an area of urban growth. The USGS-NASA&nbsp;</span><span class=\"ScopusTermHighlight\">Langley</span><span>&nbsp;corehole at&nbsp;</span><span class=\"ScopusTermHighlight\">Hampton</span><span>, Va., is the first&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;a series of new coreholes being drilled&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the crater, and it is the first corehole to penetrate the entire crater-fill section and uppermost crystalline&nbsp;</span><span class=\"ScopusTermHighlight\">basement</span><span>&nbsp;rock. The&nbsp;</span><span class=\"ScopusTermHighlight\">Langley</span><span>&nbsp;corehole is located&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the southwestern part of the crater's annular trough. A comprehensive effort to understand the crater's materials, architecture, geologic&nbsp;</span><span class=\"ScopusTermHighlight\">history</span><span>, and formative processes, as well as its influence on ground water, includes the drilling of coreholes accompanied by high-resolution seismic-reflection and seismic-refraction surveys, audio-magnetotelluric surveys, and related multidisciplinary research. The studies of the&nbsp;</span><span class=\"ScopusTermHighlight\">core</span><span>&nbsp;presented&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;this volume provide detailed information on the outer part of the crater, including the crystalline&nbsp;</span><span class=\"ScopusTermHighlight\">basement</span><span>, the overlying&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>-modified and&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>-generated sediments (physical geology, paleontology, shocked minerals, and crystalline ejecta), and the upper Eocene to Quaternary postimpact sedimentary section (stratigraphy, paleontology, and paleoenvironments). The USGS-NASA&nbsp;</span><span class=\"ScopusTermHighlight\">Langley</span><span>&nbsp;corehole has a total depth below land surface of 635.1 meters (m; 2,083.8 feet (ft)). The deepest unit&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the corehole is the Neoproterozoic&nbsp;</span><span class=\"ScopusTermHighlight\">Langley</span><span>&nbsp;Granite. The top of this granite at 626.3 m (2,054.7 ft) depth is overlain by 390.6 m (1,281.6 ft) of&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>-modified and&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>-generated siliciclastic sediments. These crater-fill materials are preserved beneath a 235.6-m-thick (773.12-ft-thick) blanket of postimpact sediments. A high-resolution seismic-reflection and seismic-refraction profile that crosses the&nbsp;</span><span class=\"ScopusTermHighlight\">Langley</span><span>&nbsp;drill site is tied to the&nbsp;</span><span class=\"ScopusTermHighlight\">core</span><span>&nbsp;by borehole geophysical logs, and it reveals the details of extensional collapse structures&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the western annular trough. Electrical cross sections based on audio-magnetotelluric (AMT) soundings image a nearly vertical zone of high resistivity at the outer margin of the annular trough, possibly indicating fresh ground water at that location, and they show impedance trends that match the curvature of the&nbsp;</span><span class=\"ScopusTermHighlight\">structure</span><span>. They also image the subsurface contact between conductive sediments and resistive crystalline&nbsp;</span><span class=\"ScopusTermHighlight\">basement</span><span>, showing that the depth to crystalline&nbsp;</span><span class=\"ScopusTermHighlight\">basement</span><span>&nbsp;is relatively constant&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the western part of the annular trough. Chemical and isotopic data indicate that saline ground water of the&nbsp;</span><span class=\"ScopusTermHighlight\">Virginia</span><span>&nbsp;inland saltwater wedge or bulge is a mixture of freshwater and seawater, and evidence for a mixing zone at the crater's outer margin supports the concept of differential flushing of residual seawater to create the bulge. Ground-water brine&nbsp;</span><span class=\"ScopusTermHighlight\">in</span><span>&nbsp;the central part of the crater was produced by evaporation, and brine production from the heat of the&nbsp;</span><span class=\"ScopusTermHighlight\">impact</span><span>&nbsp;is at least theoretically possible.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys (Professional Paper 1688)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1688A","usgsCitation":"Horton,, J., Powars, D.S., and Gohn, G., 2005, Studies of the Chesapeake Bay impact structure - Introduction and discussion: U.S. Geological Survey Professional Paper 1688, iv, 24 p., https://doi.org/10.3133/pp1688A.","productDescription":"iv, 24 p.","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":427847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":427846,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/2005/1688/ak/PP1688_chapA.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.63787841796875,\n              36.9806150652861\n            ],\n            [\n              -76.26708984375,\n              36.9806150652861\n            ],\n            [\n              -76.26708984375,\n              37.293720520228696\n            ],\n            [\n              -76.63787841796875,\n              37.293720520228696\n            ],\n            [\n              -76.63787841796875,\n              36.9806150652861\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":899033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":899034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gohn, Gregory 0000-0003-2000-479X ggohn@usgs.gov","orcid":"https://orcid.org/0000-0003-2000-479X","contributorId":219822,"corporation":false,"usgs":true,"family":"Gohn","given":"Gregory","email":"ggohn@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":899035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":72750,"text":"sir20045100 - 2005 - Uncertainty in the Great Lakes water balance","interactions":[],"lastModifiedDate":"2017-01-20T13:04:41","indexId":"sir20045100","displayToPublicDate":"2005-11-28T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-5100","title":"Uncertainty in the Great Lakes water balance","docAbstract":"<p>This report describes the Great Lakes hydrologic system and methods used to quantify individual components of the water balance. Potential sources of uncertainty are identified and, where appropriate, alternate or additional data, models, and estimation methods suitable for reducing uncertainties are discussed. Finally, approximate uncertainties of all components are identified, compared, and assessed within the context of net basin supply. Results indicate that average uncertainties in monthly estimates of individual water-balance components may range from 1.5 percent to 45 percent. These uncertainties may cause uncertainties in monthly net basin supply estimates of approximately 2,600 ft<sup>3</sup>/s to 33,500 ft<sup>3</sup>/s for individual Great Lakes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20045100","collaboration":"Prepared in cooperation with the Great Lakes Commission","usgsCitation":"Neff, B., and Nicholas, J., 2005, Uncertainty in the Great Lakes water balance: U.S. Geological Survey Scientific Investigations Report 2004-5100, vi, 42 p., https://doi.org/10.3133/sir20045100.","productDescription":"vi, 42 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":192540,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20045100.JPG"},{"id":7223,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5100/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, 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}\n","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f7fa","contributors":{"authors":[{"text":"Neff, Brian P.","contributorId":27548,"corporation":false,"usgs":true,"family":"Neff","given":"Brian P.","affiliations":[],"preferred":false,"id":286017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholas, J.R.","contributorId":26673,"corporation":false,"usgs":true,"family":"Nicholas","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":286016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":72736,"text":"ds129 - 2005 - California GAMA program: ground-water quality data in the San Diego drainages hydrogeologic province, California, 2004","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"ds129","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"129","title":"California GAMA program: ground-water quality data in the San Diego drainages hydrogeologic province, California, 2004","docAbstract":"Because of concerns over ground-water quality, the California State Water Resources Control Board (SWRCB), in collaboration with the U.S. Geological Survey and Lawrence Livermore National Laboratory, has implemented the Ground-Water Ambient Monitoring and Assessment (GAMA) Program. A primary objective of the program is to provide a current assessment of ground-water quality in areas where public supply wells are an important source of drinking water. The San Diego GAMA study unit was the first region of the state where an assessment of ground-water quality was implemented under the GAMA program. The San Diego GAMA study unit covers the entire San Diego Drainages hydrogeologic province, and is broken down into four distinct hydrogeologic study areas: the Temecula Valley study area, the Warner Valley study area, the Alluvial Basins study area, and the Hard Rock study area. \r\n\r\n     A total of 58 ground-water samples were collected from public supply wells in the San Diego GAMA study unit: 19 wells were sampled in the Temecula Valley study area, 9 in the Warner Valley study area, 17 in the Alluvial Basins study area, and 13 in the Hard Rock study area. Over 350 chemical and microbial constituents and water-quality indicators were analyzed for in this study. However, only select wells were measured for all constituents and water-quality indicators. Results of analyses were calculated as detection frequencies by constituent classification and by individual constituents for the entire San Diego GAMA study unit and for the individual study areas. Additionally, concentrations of constituents that are routinely monitored were compared to maximum contaminant levels (MCL) and secondary maximum contaminant levels (SMCL). Concentrations of constituents classified as 'unregulated chemicals for which monitoring is required' (UCMR) were compared to the 'detection level for the purposes of reporting' (DLR). \r\n\r\n    Eighteen of the 88 volatile organic compounds (VOCs) and gasoline oxygenates analyzed for were detected in ground-water samples. Twenty-eight wells sampled in the San Diego GAMA study had at least a single detection of VOCs or gasoline oxygenates. These constituents were most frequently detected in the Alluvial Basin study area (11 of 17 wells), and least frequently detected in the Warner Valley study area (one of nine wells). Trihalomethanes (THMs) were the most frequently detected class of VOCs (18 of 58 wells). The most frequently detected VOCs were chloroform (18 of 58 wells), bromodichloromethane (8 of 58 wells), and methyl tert-butyl ether (MTBE) (7 of 58 wells). Three VOCs were detected at concentrations greater than their MCLs. Tetrachloroethylene (PCE) and trichloroethylene (TCE) were detected in one well in the Hard Rock study area at concentrations of 9.75 and 7.27 micrograms per liter (?g/L), respectively; the MCL for these compounds is 5 ?g/L. MTBE was detected in one well in the Alluvial Basins study area at a concentration of 28.3 ?g/L; the MCL for MTBE is 13 ?g/L. \r\n\r\n    Twenty-one of the 122 pesticides and pesticide degradates analyzed for were detected in ground-water samples. Pesticide or pesticide degradates were detected in 33 of 58 wells sampled, and were most frequently detected in the Temecula Valley study area wells (9 of 14 wells), and least frequently in the Warner Valley study area wells (3 of 9 wells). Herbicides were the most frequently detected class of pesticides (31 of 58 wells), and simazine was the most frequently detected compound (27 of 58 wells), followed by deethylatrazine (14 of 58 wells), prometon (10 of 58 wells), and atrazine (9 of 58 wells). None of the pesticides detected in ground-water samples had concentrations that exceeded MCLs. \r\n\r\n    Eight waste-water indicator compounds were detected in ground-water samples. Twenty-one of 47 wells sampled for waste-water indicator compounds had at least a single detection. Waste-water indicator compounds were detected most frequently in the Allu","language":"ENGLISH","doi":"10.3133/ds129","usgsCitation":"Wright, M.T., Belitz, K., and Burton, C., 2005, California GAMA program: ground-water quality data in the San Diego drainages hydrogeologic province, California, 2004: U.S. Geological Survey Data Series 129, 102 p., https://doi.org/10.3133/ds129.","productDescription":"102 p.","costCenters":[],"links":[{"id":192770,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7173,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2005/129/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db688074","contributors":{"authors":[{"text":"Wright, Michael T. 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":1508,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":false,"id":285988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":285987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, Carmen A. 0000-0002-6381-8833","orcid":"https://orcid.org/0000-0002-6381-8833","contributorId":41793,"corporation":false,"usgs":true,"family":"Burton","given":"Carmen A.","affiliations":[],"preferred":false,"id":285989,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":72740,"text":"sir20055179 - 2005 - Hydrogeology and quality of ground water in the upper Arkansas River basin from Buena Vista to Salida, Colorado, 2000-2003","interactions":[],"lastModifiedDate":"2012-02-02T00:13:59","indexId":"sir20055179","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5179","title":"Hydrogeology and quality of ground water in the upper Arkansas River basin from Buena Vista to Salida, Colorado, 2000-2003","docAbstract":"The upper Arkansas River Basin between Buena Vista and Salida, Colorado, is a downfaulted basin, the Buena Vista-Salida structural basin, located between the Sawatch and Mosquito Ranges. The primary aquifers in the Buena Vista-Salida structural basin consist of poorly consolidated to unconsolidated Quaternary-age alluvial and glacial deposits and Tertiary-age basin-fill deposits. Maximum thickness of the alluvial, glacial, and basin-fill deposits is about 5,000 feet, but 95 percent of the water-supply wells in Chaffee County are no more than 300 feet deep. Hydrologic conditions in the 149-square mile study area are described on the basis of hydrologic and geologic data compiled and collected during September 2000 through September 2003. The principal aquifers described in this report are the alluvial-outwash and basin-fill aquifers. \r\n\r\nAn estimated 3,443 wells pumped about 690 to 1,240 acre-feet for domestic and household use in Chaffee County during 2003. By 2030, projected increases in the population of Chaffee County, Colorado, may require use of an additional 4,000 to 5,000 wells to supply an additional 800 to 1,800 acre-feet per year of ground water for domestic and household supply. \r\n\r\nThe estimated specific yield of the upper 300 feet of the alluvial-outwash and basin-fill aquifers ranged from about 0.02 to 0.2. Current (2003) and projected (2030) ground-water withdrawals by domestic and household wells are less than 1 percent of the estimated 472,000 acre-feet of drainable ground water in the upper 300 feet of the subsurface. Locally, little water is available in the upper 300 feet. In densely populated areas, well interference could result in decreased water levels and well yields, which may require deepening or replacement of wells. \r\n\r\nInfiltration of surface water diverted for irrigation and from losing streams is the primary source of ground-water recharge in the semiarid basin. Ground-water levels in the alluvial-outwash and basin-fill aquifers vary seasonally with maximum water levels occurring in the early summer after snowmelt runoff peaks. Because of the drought during 2002, relatively large declines in ground-water levels occurred in about one-half of the monitored wells. Differences in water-level altitudes in shallow and deep wells indicate the potential for downward flow in upland areas and support results of preliminary cross-sectional models of ground-water flow. The apparent mean age of ground-water recharge ranged from about 1 to more than 48 years before 2001. The older (pre-1953) water was from wells that were located in ground-water discharge areas. Ground-water flow in the Buena Vista-Salida structural basin drains eastward toward the Arkansas River and, locally, toward the South Arkansas River. \r\n\r\nGround water in the alluvial-outwash and basin-fill aquifers generally is calcium-bicarbonate water type with less than 250 milligrams per liter dissolved solids. Nitrate concentrations generally were less than 1 to 2 milligrams per liter and do not indicate widespread contamination of ground water from surface sources.","language":"ENGLISH","doi":"10.3133/sir20055179","usgsCitation":"Watts, K.R., 2005, Hydrogeology and quality of ground water in the upper Arkansas River basin from Buena Vista to Salida, Colorado, 2000-2003 (Online only): U.S. Geological Survey Scientific Investigations Report 2005-5179, 61 p., https://doi.org/10.3133/sir20055179.","productDescription":"61 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":193207,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7177,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5179/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db68a34d","contributors":{"authors":[{"text":"Watts, Kenneth R. krwatts@usgs.gov","contributorId":1647,"corporation":false,"usgs":true,"family":"Watts","given":"Kenneth","email":"krwatts@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":285996,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":72725,"text":"ofr20051243 - 2005 - Magnetotelluric data, north central Yucca Flat, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"ofr20051243","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1243","title":"Magnetotelluric data, north central Yucca Flat, Nevada Test Site, Nevada","language":"ENGLISH","doi":"10.3133/ofr20051243","usgsCitation":"Williams, J.M., Rodriguez, B.D., and Asch, T., 2005, Magnetotelluric data, north central Yucca Flat, Nevada Test Site, Nevada (Online only, Version 1.0): U.S. Geological Survey Open-File Report 2005-1243, 157 p., https://doi.org/10.3133/ofr20051243.","productDescription":"157 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":193199,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7162,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1243/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only, Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649473","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":285950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":285949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":285951,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":72726,"text":"ofr20051242 - 2005 - Magnetotelluric data, across Quartzite Ridge, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"ofr20051242","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1242","title":"Magnetotelluric data, across Quartzite Ridge, Nevada Test Site, Nevada","language":"ENGLISH","doi":"10.3133/ofr20051242","usgsCitation":"Williams, J.M., Rodriguez, B.D., and Asch, T., 2005, Magnetotelluric data, across Quartzite Ridge, Nevada Test Site, Nevada (Online only, Version 1.0): U.S. Geological Survey Open-File Report 2005-1242, 175 p., https://doi.org/10.3133/ofr20051242.","productDescription":"175 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":193200,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7163,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1242/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only, Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db64946e","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":285953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":285952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":285954,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":72728,"text":"ofr20051239 - 2005 - Magnetotelluric data, northern Yucca Flat, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"ofr20051239","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1239","title":"Magnetotelluric data, northern Yucca Flat, Nevada Test Site, Nevada","language":"ENGLISH","doi":"10.3133/ofr20051239","usgsCitation":"Williams, J.M., Rodriguez, B.D., and Asch, T., 2005, Magnetotelluric data, northern Yucca Flat, Nevada Test Site, Nevada (Online only, Version 1.0): U.S. Geological Survey Open-File Report 2005-1239, 121 p., https://doi.org/10.3133/ofr20051239.","productDescription":"121 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":192722,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7165,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1239/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only, Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649477","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":285959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":285958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":285960,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}