{"pageNumber":"900","pageRowStart":"22475","pageSize":"25","recordCount":46734,"records":[{"id":79499,"text":"cir1299 - 2006 - Opportunities and Needs for Mobile-Computing Technology to Support U.S. Geological Survey Fieldwork","interactions":[],"lastModifiedDate":"2012-02-02T00:14:07","indexId":"cir1299","displayToPublicDate":"2006-12-20T00:00:00","publicationYear":"2006","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":"1299","title":"Opportunities and Needs for Mobile-Computing Technology to Support U.S. Geological Survey Fieldwork","docAbstract":"To assess the opportunities and needs for mobile-computing technology at the U.S. Geological Survey (USGS), we conducted an internal, Internet-based survey of bureau scientists whose research includes fieldwork. In summer 2005, 144 survey participants answered 65 questions about fieldwork activities and conditions, technology to support field research, and postfieldwork data processing and analysis. Results suggest that some types of mobile-computing technology are already commonplace, such as digital cameras and Global Positioning System (GPS) receivers, whereas others are not, such as personal digital assistants (PDAs) and tablet-based personal computers (tablet PCs). The potential for PDA use in the USGS is high: 97 percent of respondents record field observations (primarily environmental conditions and water-quality data), and 87 percent take field samples (primarily water-quality data, water samples, and sediment/soil samples). The potential for tablet PC use in the USGS is also high: 59 percent of respondents map environmental features in the field, primarily by sketching in field notebooks, on aerial photographs, or on topographic-map sheets. Results also suggest that efficient mobile-computing-technology solutions could benefit many USGS scientists because most respondents spend at least 1 week per year in the field, conduct field sessions that are least 1 week in duration, have field crews of one to three people, and typically travel on foot about 1 mi from their field vehicles. By allowing researchers to enter data directly into digital databases while in the field, mobile-computing technology could also minimize postfieldwork data processing: 93 percent of respondents enter collected field data into their office computers, and more than 50 percent spend at least 1 week per year on postfieldwork data processing. Reducing postfieldwork data processing could free up additional time for researchers and result in cost savings for the bureau. Generally, respondents support greater use of mobile-computing technology at the USGS and are interested in training opportunities and further discussions related to data archiving, access to additional digital data types, and technology development. \r\n\r\n","language":"ENGLISH","doi":"10.3133/cir1299","isbn":"9781411312241","usgsCitation":"Wood, N.J., and Halsing, D.L., 2006, Opportunities and Needs for Mobile-Computing Technology to Support U.S. Geological Survey Fieldwork: U.S. Geological Survey Circular 1299, iv, 24 p., https://doi.org/10.3133/cir1299.","productDescription":"iv, 24 p.","numberOfPages":"28","costCenters":[{"id":293,"text":"Geographic Analysis and Monitoring Program","active":false,"usgs":true}],"links":[{"id":192104,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9055,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/2006/1299/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aefe4b07f02db6913f4","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":290066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halsing, David L.","contributorId":35809,"corporation":false,"usgs":true,"family":"Halsing","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":290067,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79498,"text":"sir20065175 - 2006 - Phosphorus Concentrations, Loads, and Yields in the Illinois River Basin, Arkansas and Oklahoma, 2000-2004","interactions":[],"lastModifiedDate":"2012-03-08T17:16:18","indexId":"sir20065175","displayToPublicDate":"2006-12-20T00:00:00","publicationYear":"2006","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":"2006-5175","title":"Phosphorus Concentrations, Loads, and Yields in the Illinois River Basin, Arkansas and Oklahoma, 2000-2004","docAbstract":"The Illinois River and tributaries, Flint Creek and Baron Fork, are designated scenic rivers in Oklahoma. Recent phosphorus levels in streams in the basin have resulted in the growth of excess algae, which have limited the aesthetic benefits of water bodies in the basin, especially the Illinois River and Lake Tenkiller. The Oklahoma Water Resources Board has established a standard for total phosphorus not to exceed the 30-day geometric mean concentration of 0.037 milligram per liter in Oklahoma Scenic Rivers. The U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, conducted an investigation to summarize phosphorus concentrations and provide estimates of phosphorus loads, yields, and flow-weighted concentrations in the Illinois River and tributaries from January 2000 through December 2004. Data from water-quality samples collected from 2000 to 2004 were used to summarize phosphorus concentrations and estimate phosphorus loads, yields, and mean flow-weighted concentrations in the Illinois River basin for three 3-year periods - 2000-2002, 2001-2003, and 2002-2004, to update a previous report that used data from water-quality samples from 1997 to 2001. This report provides information needed to advance knowledge of the regional hydrologic system and understanding of hydrologic processes, and provides hydrologic data and results useful to multiple parties for interstate compacts.\r\n\r\nPhosphorus concentrations in the Illinois River basin were significantly greater in runoff samples than in base-flow samples. Phosphorus concentrations generally decreased with increasing base flow, from dilution, and decreased in the downstream direction in the Illinois River from the Watts to Tahlequah stations. Phosphorus concentrations generally increased with runoff, possibly because of phosphorus resuspension, stream bank erosion, and the addition of phosphorus from nonpoint sources.\r\n\r\nEstimated mean annual phosphorus loads were greater at the Illinois River stations than at Flint Creek and Baron Fork. Annual total loads in the Illinois River from Watts to Tahlequah, increased slightly for the period 2000-2002 and decreased slightly for the periods 2001-2003 and 2002-2004. Estimated mean annual base-flow loads at stations on the Illinois River were about 11 to 20 times greater than base-flow loads at the station on Baron Fork and 4 to 10 times greater than base-flow loads at the station on Flint Creek. Estimated mean annual runoff loads ranged from 68 to 96 percent of the estimated mean annual total phosphorus loads from 2000-2004. Estimated mean seasonal base-flow loads were generally greatest in spring (March through May) and were least in fall (September through November). Estimated mean seasonal runoff loads generally were greatest in summer (June through August) for the period 2000-2002, but were greatest in winter (December through February) for the period 2001-2003, and greatest in spring for the period 2002-2004.\r\n\r\nEstimated mean total yields of phosphorus ranged from 192 to 811 pounds per year per square mile, with greatest yields being reported for Illinois River near Watts (576 to 811 pounds per year per square mile), and the least yields being reported for Baron Fork at Eldon for the periods 2000-2002 and 2001-2003 (501 and 192 pounds per year per square mile) and for Illinois River near Tahlequah for the period 2002-2004 (370 pounds per year per square mile). Estimated mean flow-weighted concentrations were more than 10 times greater than the median (0.022 milligram per liter) and were consistently greater than the 75th percentile of flow-weighted phosphorus concentrations in samples collected at relatively undeveloped basins of the United States (0.037 milligram per liter). In addition, flow-weighted phosphorus concentrations in 2000-2002 at all Illinois River stations and at Flint Creek near Kansas were equal to or greater than the 75th percentile of all National Water-Quality Assessment Program station","language":"ENGLISH","doi":"10.3133/sir20065175","usgsCitation":"Tortorelli, R.L., and Pickup, B.E., 2006, Phosphorus Concentrations, Loads, and Yields in the Illinois River Basin, Arkansas and Oklahoma, 2000-2004: U.S. Geological Survey Scientific Investigations Report 2006-5175, v, 38 p., https://doi.org/10.3133/sir20065175.","productDescription":"v, 38 p.","numberOfPages":"43","temporalStart":"2000-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":193212,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9052,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5175/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db686144","contributors":{"authors":[{"text":"Tortorelli, Robert L.","contributorId":65071,"corporation":false,"usgs":true,"family":"Tortorelli","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":290065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pickup, Barbara E.","contributorId":31461,"corporation":false,"usgs":true,"family":"Pickup","given":"Barbara","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":290064,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79494,"text":"ofr20061284 - 2006 - Physical and Chemical Water-Quality Data from Automatic Profiling Systems, Boulder Basin, Lake Mead, Arizona and Nevada, Water Years 2001-04","interactions":[],"lastModifiedDate":"2012-03-08T17:16:24","indexId":"ofr20061284","displayToPublicDate":"2006-12-19T00:00:00","publicationYear":"2006","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":"2006-1284","title":"Physical and Chemical Water-Quality Data from Automatic Profiling Systems, Boulder Basin, Lake Mead, Arizona and Nevada, Water Years 2001-04","docAbstract":"Water-quality profile data were collected in Las Vegas Bay and near Sentinel Island in Lake Mead, Arizona and Nevada, from October 2000 to September 2004. The majority of the profiles were completed with automatic variable-buoyancy systems equipped with multiparameter water-quality sondes. Profile data near Sentinel Island were collected in August 2004 with an automatic variable-depth-winch system also equipped with a multiparameter water-quality sonde. Physical and chemical water properties collected and recorded by the profiling systems, including depth, water temperature, specific conductance, pH, dissolved-oxygen concentration, and turbidity are listed in tables and selected water-quality profile data are shown in graphs.","language":"ENGLISH","doi":"10.3133/ofr20061284","collaboration":"Prepared in cooperation with the Southern Nevada Water Authority and the Bureau of Reclamation","usgsCitation":"Rowland, R.C., Westenburg, C.L., Veley, R.J., and Nylund, W.E., 2006, Physical and Chemical Water-Quality Data from Automatic Profiling Systems, Boulder Basin, Lake Mead, Arizona and Nevada, Water Years 2001-04: U.S. Geological Survey Open-File Report 2006-1284, vi, 17 p., https://doi.org/10.3133/ofr20061284.","productDescription":"vi, 17 p.","numberOfPages":"23","temporalStart":"2000-10-01","temporalEnd":"2004-09-30","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":194613,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9049,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1284/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685cc1","contributors":{"authors":[{"text":"Rowland, Ryan C. rrowland@usgs.gov","contributorId":3606,"corporation":false,"usgs":true,"family":"Rowland","given":"Ryan","email":"rrowland@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":290051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westenburg, Craig L.","contributorId":63831,"corporation":false,"usgs":true,"family":"Westenburg","given":"Craig","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":290054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Veley, Ronald J. rjveley@usgs.gov","contributorId":4013,"corporation":false,"usgs":true,"family":"Veley","given":"Ronald","email":"rjveley@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":290052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nylund, Walter E.","contributorId":12913,"corporation":false,"usgs":true,"family":"Nylund","given":"Walter","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":290053,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79493,"text":"sir20065247 - 2006 - Influence of In-Well Convection on Well Sampling","interactions":[],"lastModifiedDate":"2012-02-02T00:14:23","indexId":"sir20065247","displayToPublicDate":"2006-12-19T00:00:00","publicationYear":"2006","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":"2006-5247","title":"Influence of In-Well Convection on Well Sampling","docAbstract":"Convective transport of dissolved oxygen (DO) from shallow to deeper parts of wells was observed as the shallow water in wells in South Carolina became cooler than the deeper water in the wells due to seasonal changes. Wells having a relatively small depth to water were more susceptible to thermally induced convection than wells where the depth to water was greater because the shallower water levels were more influenced by air temperature. The potential for convective transport of DO to maintain oxygenated conditions in a well was diminished as ground-water exchange through the well screen increased and as oxygen demand increased. Convective flow did not transport oxygen to the screened interval when the screened interval was deeper than the range of the convective cell. \r\n\r\nThe convective movement of water in wells has potential implications for passive, or no-purge, and low-flow sampling approaches. Transport of DO to the screened interval can adversely affect the ability of passive samplers to produce accurate concentrations of oxygen-sensitive solutes, such as iron. Other potential consequences include mixing the screened-interval water with casing water and potentially allowing volatilization loss at the water surface. A field test of diffusion samplers in a convecting well during the winter, however, showed good agreement of chlorinated solvent concentrations with pumped samples, indicating that there was no negative impact of the convection on the utility of the samplers to collect volatile organic compound concentrations in that well. In the cases of low-flow sampling, convective circulation can cause the pumped sample to be a mixture of casing water and aquifer water. This can substantially increase the equilibration time of oxygen as an indicator parameter and can give false indications of the redox state. \r\n\r\nData from this investigation show that simple in-well devices can effectively mitigate convective transport of oxygen. The devices can range from inflatable packers to simple baffle systems.\r\n","language":"ENGLISH","doi":"10.3133/sir20065247","usgsCitation":"Vroblesky, D.A., Casey, C.C., and Lowery, M.A., 2006, Influence of In-Well Convection on Well Sampling: U.S. Geological Survey Scientific Investigations Report 2006-5247, vi, 13 p., https://doi.org/10.3133/sir20065247.","productDescription":"vi, 13 p.","numberOfPages":"19","onlineOnly":"Y","costCenters":[],"links":[{"id":195424,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9046,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5247/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e478ee4b07f02db489ec6","contributors":{"authors":[{"text":"Vroblesky, Don A. vroblesk@usgs.gov","contributorId":413,"corporation":false,"usgs":true,"family":"Vroblesky","given":"Don","email":"vroblesk@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":290048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casey, Clifton C.","contributorId":15140,"corporation":false,"usgs":true,"family":"Casey","given":"Clifton","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":290049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowery, Mark A.","contributorId":77872,"corporation":false,"usgs":true,"family":"Lowery","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":290050,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79470,"text":"cir1304 - 2006 - USGS Information Technology Strategic Plan: Fiscal Years 2007-2011","interactions":[],"lastModifiedDate":"2012-02-02T00:14:10","indexId":"cir1304","displayToPublicDate":"2006-12-16T00:00:00","publicationYear":"2006","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":"1304","title":"USGS Information Technology Strategic Plan: Fiscal Years 2007-2011","docAbstract":"Introduction: The acquisition, management, communication, and long-term stewardship of natural science data, information, and knowledge are fundamental mission responsibilities of the U.S. Geological Survey (USGS). USGS scientists collect, maintain, and exchange raw scientific data and interpret and analyze it to produce a wide variety of science-based products. Managers throughout the Bureau access, summarize, and analyze administrative or business-related information to budget, plan, evaluate, and report on programs and projects. Information professionals manage the extensive and growing stores of irreplaceable scientific information and knowledge in numerous databases, archives, libraries, and other digital and nondigital holdings. Information is the primary currency of the USGS, and it flows to scientists, managers, partners, and a wide base of customers, including local, State, and Federal agencies, private sector organizations, and individual citizens.\r\n\r\nSupporting these information flows is an infrastructure of computer systems, telecommunications equipment, software applications, digital and nondigital data stores and archives, technical expertise, and information policies and procedures. This infrastructure has evolved over many years and consists of tools and technologies acquired or built to address the specific requirements of particular projects or programs. Developed independently, the elements of this infrastructure were typically not designed to facilitate the exchange of data and information across programs or disciplines, to allow for sharing of information resources or expertise, or to be combined into a Bureauwide and broader information infrastructure. The challenge to the Bureau is to wisely and effectively use its information resources to create a more Integrated Information Environment that can reduce costs, enhance the discovery and delivery of scientific products, and improve support for science.\r\n\r\nThis Information Technology Strategic Plan for the USGS outlines key information technology (IT) strategic goals and objectives that will support the Bureau's science mission, while also aligning with the Department of the Interior (DOI) IT Strategic Plan and the DOI Government Performance and Results Act (GPRA) Strategic Plan.\r\n","language":"ENGLISH","doi":"10.3133/cir1304","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2006, USGS Information Technology Strategic Plan: Fiscal Years 2007-2011: U.S. Geological Survey Circular 1304, iv, 19 p., https://doi.org/10.3133/cir1304.","productDescription":"iv, 19 p.","numberOfPages":"23","onlineOnly":"Y","temporalStart":"2006-10-01","temporalEnd":"2011-09-30","costCenters":[{"id":319,"text":"Geospatial Information Office","active":false,"usgs":true}],"links":[{"id":192012,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9018,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/2006/1304/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db697ee6","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534831,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79469,"text":"ofr20061330 - 2006 - Digital data set of orchards where arsenical pesticides were likely used in Clark and Frederick Counties, Virginia, and Berkeley and Jefferson Counties, West Virginia","interactions":[],"lastModifiedDate":"2022-06-29T21:10:49.074963","indexId":"ofr20061330","displayToPublicDate":"2006-12-16T00:00:00","publicationYear":"2006","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":"2006-1330","title":"Digital data set of orchards where arsenical pesticides were likely used in Clark and Frederick Counties, Virginia, and Berkeley and Jefferson Counties, West Virginia","docAbstract":"<p>This data set shows orchard locations in Clarke and Frederick Counties, Virginia, and Berkeley and Jefferson Counties, West Virginia where arsenical pesticides have likely been used. The orchard locations (fig. 1) were compiled from aerial photos and topographic maps for the time period of extensive use of arsenical pesticides between the 1920s and 1960s. An orchard's presence in this data set does not necessarily indicate the use of arsenical pesticides on that site or that elevated arsenic and metal concentrations are present. Arsenical pesticides may have been used on part, or none, of the land; furthermore, the land may have been remediated and may no longer contain elevated arsenic and metal concentrations in the soil.</p>","language":"ENGLISH","doi":"10.3133/ofr20061330","usgsCitation":"Reed, B.W., Larkins, P., and Robinson, G.R., 2006, Digital data set of orchards where arsenical pesticides were likely used in Clark and Frederick Counties, Virginia, and Berkeley and Jefferson Counties, West Virginia: U.S. Geological Survey Open-File Report 2006-1330, HTML Document, https://doi.org/10.3133/ofr20061330.","productDescription":"HTML Document","onlineOnly":"Y","temporalStart":"1943-01-01","temporalEnd":"1972-12-31","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":195518,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402721,"rank":3,"type":{"id":36,"text":"NGMDB 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Bradley W.","contributorId":15300,"corporation":false,"usgs":true,"family":"Reed","given":"Bradley","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":289995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larkins, Peter","contributorId":40691,"corporation":false,"usgs":true,"family":"Larkins","given":"Peter","email":"","affiliations":[],"preferred":false,"id":289996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Gilpin R. Jr. grobinso@usgs.gov","contributorId":3083,"corporation":false,"usgs":true,"family":"Robinson","given":"Gilpin","suffix":"Jr.","email":"grobinso@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":289994,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79490,"text":"ds229 - 2006 - Water Quality and Algal Data for the North Umpqua River Basin, Oregon, 2005","interactions":[],"lastModifiedDate":"2024-06-17T18:36:30.413963","indexId":"ds229","displayToPublicDate":"2006-12-16T00:00:00","publicationYear":"2006","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":"229","title":"Water Quality and Algal Data for the North Umpqua River Basin, Oregon, 2005","docAbstract":"The upper North Umpqua River Basin has experienced a variety of water-quality problems since at least the early 1990's. Several reaches of the North Umpqua River are listed as water-quality limited under section 303(d) of the Clean Water Act. Diamond Lake, a eutrophic lake that is an important source of water and nutrients to the upper North Umpqua River, is also listed as a water-quality limited waterbody (pH, nuisance algae). A draft Total Maximum Daily Load (TMDL) was proposed for various parameters and is expected to be adopted in full in 2006.\r\n\r\nDiamond Lake has supported potentially toxic blue-green algae blooms since 2001 that have resulted in closures to recreational water contact and impacts to the local economy. Increased populations of the invasive tui chub fish are reportedly responsible, because they feed on zooplankton that would otherwise control the algal blooms. The Final Environmental Impact Statement (FEIS) for the Diamond Lake Restoration Project advocates reduced fish biomass in Diamond Lake in 2006 as the preferred alternative. A restoration project scheduled to reduce fish biomass for the lake includes a significant water-level drawdown that began in January 2006. After the drawdown of Diamond Lake, the fish toxicant rotenone was applied to eradicate the tui chub. The lake will be refilled and restocked with game fish in 2007.\r\n\r\nWinter exports of nutrients from Diamond Lake during the restoration project could affect the summer trophic status of the North Umpqua River if retention and recycling in Lemolo Lake are significant. The FEIS includes comprehensive monitoring to assess the water quality of the restored Diamond Lake and the effects of that restoration downstream. One component of the monitoring is the collection of baseline data, in order to observe changes in the river's water quality and algal conditions resulting from the restoration of Diamond Lake. During July 2005, the USGS, in cooperation with Douglas County, performed a synoptic survey of water quality and algal conditions, the results of which can be used for comparison with post-restoration conditions in the river as well as with those documented in an earlier study in 1995. This report presents data from that survey.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds229","usgsCitation":"Tanner, D.Q., Arnsberg, A.J., Anderson, C., and Carpenter, K., 2006, Water Quality and Algal Data for the North Umpqua River Basin, Oregon, 2005: U.S. Geological Survey Data Series 229, Report: v, 11 p.; 14 Tables, https://doi.org/10.3133/ds229.","productDescription":"Report: v, 11 p.; 14 Tables","numberOfPages":"16","onlineOnly":"Y","temporalStart":"2005-07-01","temporalEnd":"2005-07-31","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":430317,"rank":17,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table14.pdf","text":"Table 14","linkFileType":{"id":1,"text":"pdf"}},{"id":430316,"rank":16,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table13.pdf","text":"Table 13","linkFileType":{"id":1,"text":"pdf"}},{"id":430315,"rank":15,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table12.pdf","text":"Table 12","linkFileType":{"id":1,"text":"pdf"}},{"id":430314,"rank":14,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table11.pdf","text":"Table 11","linkFileType":{"id":1,"text":"pdf"}},{"id":430313,"rank":13,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table10.pdf","text":"Table 10","linkFileType":{"id":1,"text":"pdf"}},{"id":430312,"rank":12,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table9.pdf","text":"Table 9","linkFileType":{"id":1,"text":"pdf"}},{"id":430310,"rank":11,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table8.pdf","text":"Table 8","linkFileType":{"id":1,"text":"pdf"}},{"id":430303,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table1.pdf","text":"Table 1","linkFileType":{"id":1,"text":"pdf"}},{"id":430302,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/ds229.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":430309,"rank":10,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table7.pdf","text":"Table 7","linkFileType":{"id":1,"text":"pdf"}},{"id":430308,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table6.pdf","text":"Table 6","linkFileType":{"id":1,"text":"pdf"}},{"id":430307,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table5.pdf","text":"Table 5","linkFileType":{"id":1,"text":"pdf"}},{"id":430306,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table4.pdf","text":"Table 4","linkFileType":{"id":1,"text":"pdf"}},{"id":430305,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table3.pdf","text":"Table 3","linkFileType":{"id":1,"text":"pdf"}},{"id":430304,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/2006/229/pdf/table2.pdf","text":"Table 2","linkFileType":{"id":1,"text":"pdf"}},{"id":9034,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/229/","linkFileType":{"id":5,"text":"html"}},{"id":192582,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"North Umpqua River Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67afd6","contributors":{"authors":[{"text":"Tanner, Dwight Q.","contributorId":93452,"corporation":false,"usgs":true,"family":"Tanner","given":"Dwight","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":290044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnsberg, Andrew J.","contributorId":57932,"corporation":false,"usgs":true,"family":"Arnsberg","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":290043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":1151,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey W.","email":"chauncey@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":290041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carpenter, Kurt D. kdcar@usgs.gov","contributorId":1372,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt D.","email":"kdcar@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":290042,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79489,"text":"tm11C1 - 2006 - Geographic Information System Software to Enhance Field-Data Collection and Management of Land Cover Trends Information","interactions":[],"lastModifiedDate":"2012-02-02T00:14:22","indexId":"tm11C1","displayToPublicDate":"2006-12-16T00:00:00","publicationYear":"2006","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":"11-C1","title":"Geographic Information System Software to Enhance Field-Data Collection and Management of Land Cover Trends Information","language":"ENGLISH","doi":"10.3133/tm11C1","usgsCitation":"Wood, N., Sleeter, B., and Ng, P., 2006, Geographic Information System Software to Enhance Field-Data Collection and Management of Land Cover Trends Information: U.S. Geological Survey Techniques and Methods 11-C1, iii, 24 p., https://doi.org/10.3133/tm11C1.","productDescription":"iii, 24 p.","numberOfPages":"27","costCenters":[{"id":293,"text":"Geographic Analysis and Monitoring Program","active":false,"usgs":true}],"links":[{"id":194658,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9033,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/2006/tm11c1/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1de4b07f02db6a995f","contributors":{"authors":[{"text":"Wood, Nathan 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":71151,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":290040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin","contributorId":48927,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","affiliations":[],"preferred":false,"id":290039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ng, Peter 0000-0001-8509-5544 png@usgs.gov","orcid":"https://orcid.org/0000-0001-8509-5544","contributorId":3317,"corporation":false,"usgs":true,"family":"Ng","given":"Peter","email":"png@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":290038,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79468,"text":"fs20063134 - 2006 - Digital data set of orchards where arsenical pesticides were likely used in Clark and Frederick Counties, Virginia, and Berkeley and Jefferson Counties, West Virginia","interactions":[],"lastModifiedDate":"2022-06-29T21:14:56.337746","indexId":"fs20063134","displayToPublicDate":"2006-12-16T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-3134","title":"Digital data set of orchards where arsenical pesticides were likely used in Clark and Frederick Counties, Virginia, and Berkeley and Jefferson Counties, West Virginia","docAbstract":"This Fact Sheet provides information on a digital data set that identifies orchard areas under cultivation between the 1920s and 1960s in Clarke and Frederick Counties, Virginia and Berkeley and Jefferson Counties, West Virginia. 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Bradley W.","contributorId":15300,"corporation":false,"usgs":true,"family":"Reed","given":"Bradley","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":289992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larkins, Peter","contributorId":40691,"corporation":false,"usgs":true,"family":"Larkins","given":"Peter","email":"","affiliations":[],"preferred":false,"id":289993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Gilpin R. 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,{"id":79476,"text":"ds221 - 2006 - Land-Cover and Imperviousness Data for Regional Areas near Denver, Colorado; Dallas-Fort Worth, Texas; and Milwaukee-Green Bay, Wisconsin - 2001","interactions":[],"lastModifiedDate":"2012-02-02T00:14:09","indexId":"ds221","displayToPublicDate":"2006-12-15T00:00:00","publicationYear":"2006","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":"221","title":"Land-Cover and Imperviousness Data for Regional Areas near Denver, Colorado; Dallas-Fort Worth, Texas; and Milwaukee-Green Bay, Wisconsin - 2001","docAbstract":"This report describes the processing and results of land-cover and impervious surface derivation for parts of three metropolitan areas being studied as part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment (NAWQA) Program Effects of Urbanization on Stream Ecosystems (EUSE). The data were derived primarily from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) satellite imagery from the period 1999-2002, and are provided as 30-meter resolution raster datasets. Data were produced to a standard consistent with data being produced as part of the USGS National Land Cover Database 2001 (NLCD01) Program, and were derived in cooperation with, and assistance from, NLCD01 personnel. The data were intended as surrogates for NLCD01 data because of the EUSE Program's time-critical need for updated land-cover for parts of the United States that would not be available in time from the NLCD01 Program. Six datasets are described in this report: separate land-cover (15-class categorical data) and imperviousness (0-100 percent continuous data) raster datasets for parts of the general Denver, Colorado area (South Platte River Basin), Dallas-Fort Worth, Texas area (Trinity River Basin), and Milwaukee-Green Bay, Wisconsin area (Western Lake Michigan Drainages).","language":"ENGLISH","doi":"10.3133/ds221","usgsCitation":"Falcone, J.A., and Pearson, D., 2006, Land-Cover and Imperviousness Data for Regional Areas near Denver, Colorado; Dallas-Fort Worth, Texas; and Milwaukee-Green Bay, Wisconsin - 2001: U.S. Geological Survey Data Series 221, vi, 17 p.; data files, https://doi.org/10.3133/ds221.","productDescription":"vi, 17 p.; data files","numberOfPages":"23","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":192510,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9020,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/221/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf44","contributors":{"authors":[{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":614,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":290005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearson, Daniel K. dpearson@usgs.gov","contributorId":1525,"corporation":false,"usgs":true,"family":"Pearson","given":"Daniel K.","email":"dpearson@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":290006,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79487,"text":"ofr20061272 - 2006 - Preliminary integrated geologic map databases for the United States: Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, Rhode Island and Vermont","interactions":[],"lastModifiedDate":"2021-09-09T21:04:09.713268","indexId":"ofr20061272","displayToPublicDate":"2006-12-15T00:00:00","publicationYear":"2006","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":"2006-1272","title":"Preliminary integrated geologic map databases for the United States: Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, Rhode Island and Vermont","docAbstract":"The rapid growth in the use of Geographic Information Systems (GIS) has highlighted the need for regional and national scale digital geologic maps that have standardized information about geologic age and lithology. Such maps can be conveniently used to generate derivative maps for manifold special purposes such as mineral-resource assessment, metallogenic studies, tectonic studies, and environmental research. Although two digital geologic maps (Schruben and others, 1994; Reed and Bush, 2004) of the United States currently exist, their scales (1:2,500,000 and 1:5,000,000) are too general for many regional applications. Most states have digital geologic maps at scales of about 1:500,000, but the databases are not comparably structured and, thus, it is difficult to use the digital database for more than one state at a time. This report describes the result for a seven state region of an effort by the U.S. Geological Survey to produce a series of integrated and standardized state geologic map databases that cover the entire United States.\r\nIn 1997, the United States Geological Survey's Mineral Resources Program initiated the National Surveys and Analysis (NSA) Project to develop national digital databases. One primary activity of this project was to compile a national digital geologic map database, utilizing state geologic maps, to support studies in the range of 1:250,000- to 1:1,000,000-scale. To accomplish this, state databases were prepared using a common standard for the database structure, fields, attribution, and data dictionaries. For Alaska and Hawaii new state maps are being prepared and the preliminary work for Alaska is being released as a series of 1:250,000 scale quadrangle reports.\r\nThis document provides background information and documentation for the integrated geologic map databases of this report. This report is one of a series of such reports releasing preliminary standardized geologic map databases for the United States. The data products of the project consist of two main parts, the spatial databases and a set of supplemental tables relating to geologic map units. The datasets serve as a data resource to generate a variety of stratigraphic, age, and lithologic maps.\r\nThis documentation is divided into four main sections: (1) description of the set of data files provided in this report, (2) specifications of the spatial databases, (3) specifications of the supplemental tables, and (4) an appendix containing the data dictionaries used to populate some fields of the spatial database and supplemental tables.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061272","usgsCitation":"Nicholson, S.W., Dicken, C.L., Horton, J.D., Foose, M.P., Mueller, J.A., and Hon, R., 2006, Preliminary integrated geologic map databases for the United States: Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, Rhode Island and Vermont (Version 1.1, Updated Dec 2007): U.S. Geological Survey Open-File Report 2006-1272, HTML Document, https://doi.org/10.3133/ofr20061272.","productDescription":"HTML 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,{"id":79486,"text":"ofr20061156 - 2006 - Alaska resource data file: Point Lay quadrangle, Alaska","interactions":[],"lastModifiedDate":"2025-05-21T18:06:06.719994","indexId":"ofr20061156","displayToPublicDate":"2006-12-15T00:00:00","publicationYear":"2006","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":"2006-1156","title":"Alaska resource data file: Point Lay quadrangle, Alaska","docAbstract":"This report gives descriptions of the mineral occurrences in the Point Lay 1:250,000-scale quadrangle, Alaska. The data presented here are maintained as part of a statewide database on mines, prospects and mineral occurrences throughout Alaska.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061156","usgsCitation":"Grybeck, D.J., 2006, Alaska resource data file: Point Lay quadrangle, Alaska (Version 1.0): U.S. Geological Survey Open-File Report 2006-1156, 4 p., https://doi.org/10.3133/ofr20061156.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":486309,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1156/of2006-1156.pdf","text":"Report","size":"95.7 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2006-1156"},{"id":484080,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78839.htm","linkFileType":{"id":5,"text":"html"}},{"id":9071,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1156/","linkFileType":{"id":5,"text":"html"}},{"id":192423,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":484081,"rank":4,"type":{"id":18,"text":"Project Site"},"url":"https://doi.org/10.5066/P96MMRFD","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Point Lay quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -165,69 ], [ -165,70 ], [ -162,70 ], [ -162,69 ], [ -165,69 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688ea4","contributors":{"authors":[{"text":"Grybeck, Donald J.","contributorId":20013,"corporation":false,"usgs":true,"family":"Grybeck","given":"Donald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":290023,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79471,"text":"sir20065280 - 2006 - Ground-water hydrology and water quality of the Southern High Plains Aquifer, Cannon Air Force Base, Curry County, New Mexico, 1994-2005","interactions":[],"lastModifiedDate":"2017-09-19T16:33:18","indexId":"sir20065280","displayToPublicDate":"2006-12-15T00:00:00","publicationYear":"2006","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":"2006-5280","title":"Ground-water hydrology and water quality of the Southern High Plains Aquifer, Cannon Air Force Base, Curry County, New Mexico, 1994-2005","docAbstract":"<p><span>In cooperation with the U.S. Air Force, the U.S. Geological Survey has collected hydrologic data about the Southern High Plains aquifer at Cannon Air Force Base in east-central New Mexico since 1994. Under the guidance of the State of New Mexico, ground-water quality of the aquifer has been analyzed as part of annual monitoring at regulated sites at the base. This report provides a summary and interpretation of all available hydrologic data collected by the U.S. Geological Survey for Cannon Air Force Base environmental managers for the regulated sites of Landfill 5 and the Sewage Lagoons between 1994 and 2005.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065280","isbn":"9781411312210","collaboration":"Prepared in cooperation with the U.S. Air Force, Cannon Air Force Base","usgsCitation":"Langman, J.B., Falk, S.E., Gebhardt, F., and Blanchard, P.J., 2006, Ground-water hydrology and water quality of the Southern High Plains Aquifer, Cannon Air Force Base, Curry County, New Mexico, 1994-2005 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2006-5280, v, 61 p., https://doi.org/10.3133/sir20065280.","productDescription":"v, 61 p.","numberOfPages":"66","temporalStart":"1994-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":194638,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9019,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5280/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","county":"Curry County","otherGeospatial":"Cannon Air Force Base, Southern High Plains Aquifer","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d5ce","contributors":{"authors":[{"text":"Langman, Jeff B.","contributorId":22036,"corporation":false,"usgs":true,"family":"Langman","given":"Jeff","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":289999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falk, Sarah E. sefalk@usgs.gov","contributorId":1056,"corporation":false,"usgs":true,"family":"Falk","given":"Sarah","email":"sefalk@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":289998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gebhardt, Fredrick E.","contributorId":65538,"corporation":false,"usgs":true,"family":"Gebhardt","given":"Fredrick E.","affiliations":[],"preferred":false,"id":290001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blanchard, Paul J.","contributorId":24388,"corporation":false,"usgs":true,"family":"Blanchard","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":290000,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79472,"text":"ds234 - 2006 - Nevada Magnetic and Gravity Maps and Data: A Website for the Distribution of Data","interactions":[],"lastModifiedDate":"2012-02-02T00:14:00","indexId":"ds234","displayToPublicDate":"2006-12-15T00:00:00","publicationYear":"2006","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":"234","title":"Nevada Magnetic and Gravity Maps and Data: A Website for the Distribution of Data","language":"ENGLISH","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds234","usgsCitation":"Kucks, R.P., Hill, P.L., and Ponce, D.A., 2006, Nevada Magnetic and Gravity Maps and Data: A Website for the Distribution of Data (Version 1.0): U.S. Geological Survey Data Series 234, maps, surveys, and dataset, https://doi.org/10.3133/ds234.","productDescription":"maps, surveys, and dataset","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":213,"text":"Crustal Imaging and Characterization Team","active":false,"usgs":true}],"links":[{"id":193157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":115724,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/234/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697a3b","contributors":{"authors":[{"text":"Kucks, Robert P.","contributorId":11648,"corporation":false,"usgs":true,"family":"Kucks","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":290004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Patricia L. pathill@usgs.gov","contributorId":1327,"corporation":false,"usgs":true,"family":"Hill","given":"Patricia","email":"pathill@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":290003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":290002,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79467,"text":"ofr20061361 - 2006 - Aqueous geochemical data from the analysis of stream-water samples collected in June and July 2005 — Taylor Mountains 1:250,000 scale quadrangle, Alaska","interactions":[],"lastModifiedDate":"2022-06-16T19:03:22.335279","indexId":"ofr20061361","displayToPublicDate":"2006-12-14T00:00:00","publicationYear":"2006","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":"2006-1361","title":"Aqueous geochemical data from the analysis of stream-water samples collected in June and July 2005 — Taylor Mountains 1:250,000 scale quadrangle, Alaska","docAbstract":"<p><span>We report on the chemical analysis of water samples collected from the Taylor Mountains 1:250,000-scale quadrangle. Parameters for which data are reported include pH, conductivity, water temperature, major cation and anion concentrations, trace-element concentrations, and dissolved organic-carbon concentrations. Samples were collected as part of a multiyear U.S. Geological Survey project \"Geologic and Mineral Deposit Data for Alaskan Economic Development.\" Data presented here are from samples collected in June and July of 2005. The data are being released at this time with minimal interpretation. This is the second release of aqueous geochemical data from this project; 2004 aqueous geochemical data were published previously (</span><a href=\"http://pubs.usgs.gov/of/2006/1175/\" data-mce-href=\"http://pubs.usgs.gov/of/2006/1175/\">Wang and others, 2006</a><span>). The data in this report augment but do not duplicate or supersede the previous data release. Site selection was based on a regional sampling strategy that focused on first- and second-order drainages. Water sample site selection was based on landscape parameters that included physiography, wetland extent, lithological changes, and a cursory field review of mineralogy from pan concentrates. Stream water in the Taylor Mountians quadrangle is dominated by bicarbonate (HCO</span><sup>3-</sup><span>), though in a few samples more than 50 percent of the anionic charge can be attributed to sulfate (SO</span><sub>4</sub><sup>2-</sup><span>). The major-cation chemistry ranges from Ca</span><sup>2+</sup><span>/Mg</span><sup>2+</sup><span>&nbsp;dominated to a mix of Ca</span><sup>2+</sup><span>/Mg</span><sup>2+</sup><span>/Na</span><sup>+</sup><span>+K</span><sup>+</sup><span>. In general, good agreement was found between the major cations and anions in the duplicate samples. Many trace elements in these samples were at or near the analytical method detection limit, but good agreement was found between duplicate samples for elements with detectable concentrations. With the exception of a total mercury concentration of 0.33 ng/L detected in a field blank, field blank major-ion and trace-elements concentrations were below detection.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061361","usgsCitation":"Wang, B., Mueller, S., Stetson, S., Bailey, E., and Lee, G., 2006, Aqueous geochemical data from the analysis of stream-water samples collected in June and July 2005 — Taylor Mountains 1:250,000 scale quadrangle, Alaska (Version 1.0): U.S. Geological Survey Open-File Report 2006-1361, Report: 5 p.; 2 Tables; 2 Appendixes, https://doi.org/10.3133/ofr20061361.","productDescription":"Report: 5 p.; 2 Tables; 2 Appendixes","numberOfPages":"7","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2005-06-01","temporalEnd":"2005-07-31","costCenters":[{"id":386,"text":"Mineral Resources - Alaska","active":false,"usgs":true}],"links":[{"id":194892,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402293,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78740.htm","linkFileType":{"id":5,"text":"html"}},{"id":9006,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1361/","linkFileType":{"id":5,"text":"html"}},{"id":9012,"rank":1000,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2006/1306/","linkFileType":{"id":5,"text":"html"}},{"id":9011,"rank":1000,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2006/1070/","linkFileType":{"id":5,"text":"html"}},{"id":9010,"rank":1000,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2006/1175/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Taylor Mountains quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -159,60 ], [ -159,61 ], [ -156,61 ], [ -156,60 ], [ -159,60 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db67a01b","contributors":{"authors":[{"text":"Wang, Bronwen 0000-0003-1044-2227 bwang@usgs.gov","orcid":"https://orcid.org/0000-0003-1044-2227","contributorId":2351,"corporation":false,"usgs":true,"family":"Wang","given":"Bronwen","email":"bwang@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":289987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, Seth","contributorId":65441,"corporation":false,"usgs":true,"family":"Mueller","given":"Seth","affiliations":[],"preferred":false,"id":289989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stetson, Sarah sstetson@usgs.gov","contributorId":1394,"corporation":false,"usgs":true,"family":"Stetson","given":"Sarah","email":"sstetson@usgs.gov","affiliations":[],"preferred":true,"id":289986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Elizabeth","contributorId":61011,"corporation":false,"usgs":true,"family":"Bailey","given":"Elizabeth","affiliations":[],"preferred":false,"id":289988,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Greg","contributorId":68272,"corporation":false,"usgs":true,"family":"Lee","given":"Greg","affiliations":[],"preferred":false,"id":289990,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":79466,"text":"ofr20061306 - 2006 - Major- and Trace-Element Concentrations in Rock Samples Collected in 2005 from the Taylor Mountains 1:250,000-scale Quadrangle, Alaska","interactions":[],"lastModifiedDate":"2012-02-10T00:11:38","indexId":"ofr20061306","displayToPublicDate":"2006-12-14T00:00:00","publicationYear":"2006","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":"2006-1306","title":"Major- and Trace-Element Concentrations in Rock Samples Collected in 2005 from the Taylor Mountains 1:250,000-scale Quadrangle, Alaska","docAbstract":"The data consist of major- and minor-element concentrations for rock samples collected during 2005 by the U.S. Geological Survey. Samples were analyzed by fire assay (Au, Pd, Pt), cold vapor atomic absorption spectroscopy (Hg), and the inductively coupled plasma mass spectrometry (ICPMS) 10 and 42 element methods. For details of sample preparation and analytical techniques see USGS Open File Report 02-0223 (Analytical methods for chemical analysis of geologic and other materials, U.S. Geological Survey), available at <http://pubs.usgs.gov/of/2002/ofr-02-0223/>. ","language":"ENGLISH","doi":"10.3133/ofr20061306","collaboration":"This is one of four chem-data reports on the Taylor Mountains quads: \r\nhttp://pubs.usgs.gov/of/2006/1361/\r\nhttp://pubs.usgs.gov/of/2006/1175/\r\nhttp://pubs.usgs.gov/of/2006/1070/","usgsCitation":"Klimasauskas, E.P., Miller, M.L., Bradley, D., Bundtzen, T.K., and Hudson, T.L., 2006, Major- and Trace-Element Concentrations in Rock Samples Collected in 2005 from the Taylor Mountains 1:250,000-scale Quadrangle, Alaska (Version 1.0): U.S. Geological Survey Open-File Report 2006-1306, iii, 6 p., https://doi.org/10.3133/ofr20061306.","productDescription":"iii, 6 p.","numberOfPages":"9","onlineOnly":"Y","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":386,"text":"Mineral Resources - Alaska","active":false,"usgs":true}],"links":[{"id":191998,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9002,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1306/","linkFileType":{"id":5,"text":"html"}},{"id":9003,"rank":1000,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2006/1361/","linkFileType":{"id":5,"text":"html"}},{"id":9004,"rank":1000,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2006/1175/","linkFileType":{"id":5,"text":"html"}},{"id":9005,"rank":1000,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2006/1070/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -159,60 ], [ -159,61 ], [ -156,61 ], [ -156,60 ], [ -159,60 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6496c6","contributors":{"authors":[{"text":"Klimasauskas, Edward P.","contributorId":80366,"corporation":false,"usgs":true,"family":"Klimasauskas","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":289985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Marti L. 0000-0003-0285-4942 mlmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-0285-4942","contributorId":561,"corporation":false,"usgs":true,"family":"Miller","given":"Marti","email":"mlmiller@usgs.gov","middleInitial":"L.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":289981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Dwight 0000-0001-9116-5289 bradleyorchard2@gmail.com","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":2358,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","email":"bradleyorchard2@gmail.com","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":289982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bundtzen, Tom K.","contributorId":57163,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Tom","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":289984,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Travis L.","contributorId":28288,"corporation":false,"usgs":true,"family":"Hudson","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":289983,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":79462,"text":"fs20063141 - 2006 - A Century of Retreat at Portage Glacier, South-Central Alaska","interactions":[],"lastModifiedDate":"2016-06-07T11:50:10","indexId":"fs20063141","displayToPublicDate":"2006-12-13T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-3141","title":"A Century of Retreat at Portage Glacier, South-Central Alaska","docAbstract":"<p>Introduction: The Portage Glacier, in south-central Alaska, is viewed by thousands of visitors annually who come to the U.S. Forest Service Begich, Boggs Visitor Center located on the road system between Anchorage and Whittier, Alaska. During the past century, the terminus of the glacier has retreated nearly 5 kilometers to its present location (fig. 1). Like other glaciers that terminate in water, such as Columbia Glacier near Valdez or Mendenhall Glacier near Juneau, Portage Glacier has experienced accelerated retreats in recent decades that likely were initially triggered by climate change begun at the end of the Little Ice Age in the mid-1800s and subsequently controlled in recent history primarily by calving of the glacier terminus. Photographic records of the terminus covering 1914 until present day track the patterns of retreat. These data, coupled with USGS climate information collected from the southern end of the ice field, provide insight to the patterns of retreat that might be observed in the future.</p>","language":"English","doi":"10.3133/fs20063141","usgsCitation":"Kennedy, B., Trabant, D.C., and Mayo, L.R., 2006, A Century of Retreat at Portage Glacier, South-Central Alaska: U.S. Geological Survey Fact Sheet 2006-3141, 2 p., https://doi.org/10.3133/fs20063141.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":125092,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2006_3141.jpg"},{"id":8999,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2006/3141/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd494de4b0b290850ef094","contributors":{"authors":[{"text":"Kennedy, Ben W.","contributorId":104519,"corporation":false,"usgs":true,"family":"Kennedy","given":"Ben W.","affiliations":[],"preferred":false,"id":289973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trabant, Dennis C.","contributorId":13965,"corporation":false,"usgs":true,"family":"Trabant","given":"Dennis","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":289971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayo, Lawrence R.","contributorId":98344,"corporation":false,"usgs":true,"family":"Mayo","given":"Lawrence","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":289972,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79461,"text":"ofr20061248 - 2006 - Watershed Data Management (WDM) Database for Salt Creek Streamflow Simulation, DuPage County, Illinois","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"ofr20061248","displayToPublicDate":"2006-12-13T00:00:00","publicationYear":"2006","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":"2006-1248","title":"Watershed Data Management (WDM) Database for Salt Creek Streamflow Simulation, DuPage County, Illinois","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with DuPage County Department of Engineering, Stormwater Management Division, maintains a database of hourly meteorologic and hydrologic data for use in a near real-time streamflow simulation system, which assists in the management and operation of reservoirs and other flood-control structures in the Salt Creek watershed in DuPage County, Illinois. The majority of the precipitation data are collected from a tipping-bucket rain-gage network located in and near DuPage County. The other meteorologic data (wind speed, solar radiation, air temperature, and dewpoint temperature) are collected at Argonne National Laboratory in Argonne, Illinois. Potential evapotranspiration is computed from the meteorologic data. The hydrologic data (discharge and stage) are collected at USGS streamflow-gaging stations in DuPage County. These data are stored in a Watershed Data Management (WDM) database. \r\n\r\nThis report describes a version of the WDM database that was quality-assured and quality-controlled annually to ensure the datasets were complete and accurate. This version of the WDM database contains data from January 1, 1997, through September 30, 2004, and is named SEP04.WDM. This report provides a record of time periods of poor data for each precipitation dataset and describes methods used to estimate the data for the periods when data were missing, flawed, or snowfall-affected. The precipitation dataset data-filling process was changed in 2001, and both processes are described. The other meteorologic and hydrologic datasets in the database are fully described in the annual U.S. Geological Survey Water Data Report for Illinois and, therefore, are described in less detail than the precipitation datasets in this report. ","language":"ENGLISH","doi":"10.3133/ofr20061248","usgsCitation":"Murphy, E., and Ishii, A., 2006, Watershed Data Management (WDM) Database for Salt Creek Streamflow Simulation, DuPage County, Illinois: U.S. Geological Survey Open-File Report 2006-1248, iv, 34 p., https://doi.org/10.3133/ofr20061248.","productDescription":"iv, 34 p.","numberOfPages":"38","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":195483,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8998,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1248/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db696132","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":289970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ishii, Audrey L. alishii@usgs.gov","contributorId":1818,"corporation":false,"usgs":true,"family":"Ishii","given":"Audrey L.","email":"alishii@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":289969,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79460,"text":"ofr20061300 - 2006 - Water-Quality Data for Selected National Park Units within the Southern Colorado Plateau Network, Arizona, Utah, Colorado, and New Mexico, Water Years 2005 and 2006","interactions":[],"lastModifiedDate":"2012-02-10T00:11:41","indexId":"ofr20061300","displayToPublicDate":"2006-12-13T00:00:00","publicationYear":"2006","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":"2006-1300","title":"Water-Quality Data for Selected National Park Units within the Southern Colorado Plateau Network, Arizona, Utah, Colorado, and New Mexico, Water Years 2005 and 2006","docAbstract":"The National Park Service initiated a Level 1 Water-Quality Inventory program to provide water-quality data to park managers so informed natural resource management decisions could be made. Level 1 water-quality data were collected by the U.S. Geological Survey Arizona Water Science Center at 57 sites in 13 National Park units located in the Southern Colorado Plateau Inventory and Monitoring network in water years 2005 and 2006. These data describe the current water-quality at selected sites within the park units and provide information for monitoring future trends. Water samples were collected three times at each type of site including wells, springs, seeps, tinajas, rivers, a lake, and an irrigation ditch. Field measurements were taken at each site and they included pH, specific conductance, temperature, barometric pressure, dissolved oxygen, alkalinity, turbidity, and discharge rates where applicable. Water samples collected were sent to the U.S. Geological Survey National Water Quality Laboratory and analyzed for major ions, trace elements, and nutrients. The National Water Quality Laboratory also analyzed selected samples for mercury and petroleum hydrocarbons. Additional samples at selected sites were collected and analyzed for cyanide, radiochemistry, and suspended sediment by U.S. Geological Survey contract labs. Fecal-indicator bacteria (Escherichia coli) were sampled for at selected sites as another indicator of water quality. Quality control for this study was achieved through proper training of field personnel, use of standard U.S. Geological Survey field and laboratory protocols, collection of sample blanks and replicates, and a thorough review of the water-quality analyses.\r\n\r\nMeasured field pH ranged from 6.0 to 8.8, within normal range for springs and rivers, at most sites. Concentrations of dissolved solids ranged from 48 to 8,680 mg/L and the majority of samples had concentrations of dissolved solids below 900 mg/L. Trace-element concentrations at most sites were at or near the laboratory reporting levels. The highest overall trace-element concentrations were found at U.S. Highway 160 Spring near Park Entrance to Mesa Verde National Park. Concentrations of uranium in samples at all sites ranged from below the detection limit to 55.7 ?g/L. Water samples from selected sites were analyzed for total petroleum hydrocarbons and concentrations of total petroleum hydrocarbons were at or above the laboratory detection limit in samples at six National Park units. Ten sites were sampled for Escherichia coli and positive counts were found at 9 out of the ten sites, the highest colony counts were found at Chinle Creek at Chinle, AZ in Canyon de Chelly National Monument. Measured concentrations of dissolved ammonia, nitrite, and nitrate were at or near laboratory reporting levels at most sites; nitrate concentrations ranged from below the reporting limit (0.047 mg/L) to 9.77 mg/L. Samples that were analyzed for mercury had concentrations below or at the laboratory reporting level. Concentrations of cyanide were less than the laboratory reporting level for all samples except two, Spruce Tree House Spring in Mesa Verde National Park and Pine Tree Canyon Tinaja in Canyon de Chelly National Monument, which had average concentrations of .042 and .011 ?g/L respectively. Gross alpha/beta radioactivity counts were below the U.S. Environmental Protection Agency maximum contaminant level except for samples from Casa Chiquita Well \u0013 Middle at Chaco Culture National Historical Park which averaged 35 pCi/L. Suspended-sediment concentrations were variable and ranged from 10 to 150,000 mg/L.\r\n","language":"ENGLISH","doi":"10.3133/ofr20061300","collaboration":"Prepared in cooperation with the NATIONAL PARK SERVICE","usgsCitation":"Macy, J.P., and Monroe, S.A., 2006, Water-Quality Data for Selected National Park Units within the Southern Colorado Plateau Network, Arizona, Utah, Colorado, and New Mexico, Water Years 2005 and 2006: U.S. Geological Survey Open-File Report 2006-1300, vi, 84 p., https://doi.org/10.3133/ofr20061300.","productDescription":"vi, 84 p.","numberOfPages":"90","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":8997,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1300/","linkFileType":{"id":5,"text":"html"}},{"id":190658,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,34.5 ], [ -114,38.5 ], [ -106,38.5 ], [ -106,34.5 ], [ -114,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e479de4b07f02db49208c","contributors":{"authors":[{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monroe, Stephen A.","contributorId":103313,"corporation":false,"usgs":true,"family":"Monroe","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289968,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79463,"text":"sir20065274 - 2006 - Development of a Precipitation-Runoff Model to Simulate Unregulated Streamflow in the Salmon Creek Basin, Okanogan County, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:21","indexId":"sir20065274","displayToPublicDate":"2006-12-13T00:00:00","publicationYear":"2006","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":"2006-5274","title":"Development of a Precipitation-Runoff Model to Simulate Unregulated Streamflow in the Salmon Creek Basin, Okanogan County, Washington","docAbstract":"Surface water has been diverted from the Salmon Creek Basin for irrigation purposes since the early 1900s, when the Bureau of Reclamation built the Okanogan Project. Spring snowmelt runoff is stored in two reservoirs, Conconully Reservoir and Salmon Lake Reservoir, and gradually released during the growing season. As a result of the out-of-basin streamflow diversions, the lower 4.3 miles of Salmon Creek typically has been a dry creek bed for almost 100 years, except during the spring snowmelt season during years of high runoff. To continue meeting the water needs of irrigators but also leave water in lower Salmon Creek for fish passage and to help restore the natural ecosystem, changes are being considered in how the Okanogan Project is operated.\r\n\r\nThis report documents development of a precipitation-runoff model for the Salmon Creek Basin that can be used to simulate daily unregulated streamflows. The precipitation-runoff model is a component of a Decision Support System (DSS) that includes a water-operations model the Bureau of Reclamation plans to develop to study the water resources of the Salmon Creek Basin. The DSS will be similar to the DSS that the Bureau of Reclamation and the U.S. Geological Survey developed previously for the Yakima River Basin in central southern Washington.\r\n\r\nThe precipitation-runoff model was calibrated for water years 1950-89 and tested for water years 1990-96. The model was used to simulate daily streamflows that were aggregated on a monthly basis and calibrated against historical monthly streamflows for Salmon Creek at Conconully Dam. Additional calibration data were provided by the snowpack water-equivalent record for a SNOTEL station in the basin. Model input time series of daily precipitation and minimum and maximum air temperatures were based on data from climate stations in the study area. Historical records of unregulated streamflow for Salmon Creek at Conconully Dam do not exist for water years 1950-96. Instead, estimates of historical monthly mean unregulated streamflow based on reservoir outflows and storage changes were used as a surrogate for the missing data and to calibrate and test the model. The estimated unregulated streamflows were corrected for evaporative losses from Conconully Reservoir (about 1 ft3/s) and ground-water losses from the basin (about 2 ft3/s). The total of the corrections was about 9 percent of the mean uncorrected streamflow of 32.2 ft3/s (23,300 acre-ft/yr) for water years 1949-96. For the calibration period, the basinwide mean annual evapotranspiration was simulated to be 19.1 inches, or about 83 percent of the mean annual precipitation of 23.1 inches.\r\n\r\nModel calibration and testing indicated that the daily streamflows simulated using the precipitation-runoff model should be used only to analyze historical and forecasted annual mean and April-July mean streamflows for Salmon Creek at Conconully Dam. Because of the paucity of model input data and uncertainty in the estimated unregulated streamflows, the model is not adequately calibrated and tested to estimate monthly mean streamflows for individual months, such as during low-flow periods, or for shorter periods such as during peak flows. No data were available to test the accuracy of simulated streamflows for lower Salmon Creek. As a result, simulated streamflows for lower Salmon Creek should be used with caution.\r\n\r\nFor the calibration period (water years 1950-89), both the simulated mean annual streamflow and the simulated mean April-July streamflow compared well with the estimated uncorrected unregulated streamflow (UUS) and corrected unregulated streamflow (CUS). The simulated mean annual streamflow exceeded UUS by 5.9 percent and was less than CUS by 2.7 percent. Similarly, the simulated mean April-July streamflow exceeded UUS by 1.8 percent and was less than CUS by 3.1 percent. However, streamflow was significantly undersimulated during the low-flow, baseflow-dominated months of November through F","language":"ENGLISH","doi":"10.3133/sir20065274","usgsCitation":"van Heeswijk, M., 2006, Development of a Precipitation-Runoff Model to Simulate Unregulated Streamflow in the Salmon Creek Basin, Okanogan County, Washington: U.S. Geological Survey Scientific Investigations Report 2006-5274, vi, 36 p.; 16 figs.; 6 tables, https://doi.org/10.3133/sir20065274.","productDescription":"vi, 36 p.; 16 figs.; 6 tables","numberOfPages":"42","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":190675,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9000,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5274/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db666edf","contributors":{"authors":[{"text":"van Heeswijk, Marijke heeswijk@usgs.gov","contributorId":1537,"corporation":false,"usgs":true,"family":"van Heeswijk","given":"Marijke","email":"heeswijk@usgs.gov","affiliations":[],"preferred":true,"id":289974,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79449,"text":"fs20063142 - 2006 - The National Volcano Early Warning System (NVEWS)","interactions":[],"lastModifiedDate":"2016-08-29T16:21:05","indexId":"fs20063142","displayToPublicDate":"2006-12-12T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-3142","title":"The National Volcano Early Warning System (NVEWS)","docAbstract":"<p class=\"abstract\">The National Volcano Early Warning System (NVEWS) is a proposed national-scale effort by the U.S. Geological Survey (USGS) Volcano Hazards Program and its affiliated partners in the Consortium of U.S. Volcano Observatories (CUSVO) (<a href=\"http://www.cusvo.org/\" target=\"_blank\">http://www.cusvo.org</a>) to ensure that volcanoes are monitored at a level commensurate with the threats they pose. Roughly half of the Nation&rsquo;s 169 young volcanoes are dangerous because of the manner in which they erupt and the communities and infrastructure within their destructive reach. Most U.S. volcanoes are located on sparsely populated Federal lands, but it is the threat to communities and infrastructure downstream and downwind, including to military and commercial aviation, that drives the need to properly monitor volcanic activity and provide forecasts and notifications of expected hazards.</p>\n<p class=\"abstract\">Waiting until unrest escalates at a volcano then reacting to improve sparse monitoring arrays results in the loss of precious time and data as scientists, civil authorities, citizens, and businesses play \"catch up\" with a dangerous force of nature. NVEWS is a proposal to address monitoring needs at potentially dangerous volcanoes that have inadequate ground-based monitoring or none at all and to move beyond a reactive approach to mitigating volcanic risk. The most hazardous volcanoes would be properly monitored well in advance of the onset of activity, making it possible for scientists to improve the timeliness and accuracy of hazard forecasts and for citizens to take proper and timely action to reduce risk.</p>\n<p class=\"abstract\">The first step in developing NVEWS was a systematic assessment of (1) threats posed by U.S. volcanoes to human life and enterprise, (2) current monitoring capabilities at each volcano, and (3) improvements necessary to fill the worst monitoring gaps. The NVEWS assessment, published in 2005 (<a href=\"http://pubs.usgs.gov/of/2005/1164/\" target=\"_blank\">http://pubs.usgs.gov/of/2005/1164/</a>), shows that a few volcanoes are relatively well monitored with telemetered instrument arrays of various types. Many other volcanoes are monitored primarily by a network of sparsely distributed seismic instruments that lack the sensitivity to detect the subtle earthquakes that commonly characterize the earliest stages of unrest. Some hazardous volcanoes have no ground-based monitoring whatsoever.</p>\n<p class=\"abstract\">The overall result of the NVEWS assessment is the identification of 57 priority volcanoes that are undermonitored for the threats posed and thus targets for improved monitoring networks.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20063142","usgsCitation":"Ewert, J., Guffanti, M., Cervelli, P., and Quick, J., 2006, The National Volcano Early Warning System (NVEWS): U.S. Geological Survey Fact Sheet 2006-3142, 2 p., https://doi.org/10.3133/fs20063142.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":120978,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2006_3142.jpg"},{"id":8990,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2006/3142/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b057","contributors":{"authors":[{"text":"Ewert, John","contributorId":79963,"corporation":false,"usgs":true,"family":"Ewert","given":"John","affiliations":[],"preferred":false,"id":289942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guffanti, Marianne","contributorId":68257,"corporation":false,"usgs":true,"family":"Guffanti","given":"Marianne","affiliations":[],"preferred":false,"id":289941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cervelli, Peter","contributorId":17318,"corporation":false,"usgs":true,"family":"Cervelli","given":"Peter","affiliations":[],"preferred":false,"id":289939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quick, James","contributorId":52670,"corporation":false,"usgs":true,"family":"Quick","given":"James","affiliations":[],"preferred":false,"id":289940,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79456,"text":"sim2920 - 2006 - Geologic Map of the Mylitta Fluctus Quadrangle (V-61), Venus","interactions":[],"lastModifiedDate":"2016-12-28T14:18:39","indexId":"sim2920","displayToPublicDate":"2006-12-12T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2920","title":"Geologic Map of the Mylitta Fluctus Quadrangle (V-61), Venus","docAbstract":"INTRODUCTION\r\n\r\nThe Magellan Mission\r\n\r\nThe Magellan spacecraft orbited Venus from August 10, 1990, until it plunged into the Venusian atmosphere on October 12, 1994. Magellan Mission objectives included: (1) improving knowledge of the geological processes, surface properties, and geologic history of Venus by analysis of surface radar characteristics, topography, and morphology, and (2) improving the knowledge of the geophysics of Venus by analysis of Venusian gravity.\r\n\r\nThe Magellan spacecraft carried a 12.6-cm radar system to map the surface of Venus. The transmitter and receiver systems were used to collect three data sets: (1) synthetic aperture radar (SAR) images of the surface, (2) passive microwave thermal emission observations, and (3) measurements of the backscattered power at small angles of incidence, which were processed to yield altimetric data. Radar imaging, altimetric, and radiometric mapping of the Venusian surface was done in mission cycles 1, 2, and 3 from September 1990 until September 1992. Ninety-eight percent of the surface was mapped with radar resolution on the order of 120 meters. The SAR observations were projected to a 75-m nominal horizontal resolution, and these full-resolution data compose the image base used in geologic mapping. The primary polarization mode was horizontal-transmit, horizontal-receive (HH), but additional data for selected areas were collected for the vertical polarization sense. Incidence angles varied between about 20? and 45?.\r\n\r\nHigh resolution Doppler tracking of the spacecraft took place from September 1992 through October 1994 (mission cycles 4, 5, 6). Approximately 950 orbits of high-resolution gravity observations were obtained between September 1992 and May 1993 while Magellan was in an elliptical orbit with a periapsis near 175 km and an apoapsis near 8,000 km. An additional 1,500 orbits were obtained following orbit-circularization in mid-1993. These data exist as a 75? by 75? harmonic field.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sim2920","isbn":"1411310500","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Ivanov, M.A., and Head, J.W., 2006, Geologic Map of the Mylitta Fluctus Quadrangle (V-61), Venus (Version 1.0): U.S. Geological Survey Scientific Investigations Map 2920, Map: 42 x 46 inches; Pamphlet: 17 p., https://doi.org/10.3133/sim2920.","productDescription":"Map: 42 x 46 inches; Pamphlet: 17 p.","additionalOnlineFiles":"Y","temporalStart":"1992-09-01","temporalEnd":"1993-05-31","costCenters":[{"id":130,"text":"Astrogeology Research Center","active":false,"usgs":true}],"links":[{"id":194409,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9350,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2006/2920/","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","projection":"Planetary","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae069","contributors":{"authors":[{"text":"Ivanov, Mikhail A.","contributorId":25245,"corporation":false,"usgs":true,"family":"Ivanov","given":"Mikhail","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Head, James W. III","contributorId":102954,"corporation":false,"usgs":true,"family":"Head","given":"James","suffix":"III","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":289958,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79452,"text":"sir20065031 - 2006 - A revised logistic regression equation and an automated procedure for mapping the probability of a stream flowing perennially in Massachusetts","interactions":[],"lastModifiedDate":"2014-01-23T15:13:43","indexId":"sir20065031","displayToPublicDate":"2006-12-12T00:00:00","publicationYear":"2006","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":"2006-5031","title":"A revised logistic regression equation and an automated procedure for mapping the probability of a stream flowing perennially in Massachusetts","docAbstract":"A revised logistic regression equation and an automated procedure were developed for mapping the probability of a stream flowing perennially in Massachusetts. The equation provides city and town conservation commissions and the Massachusetts Department of Environmental Protection a method for assessing whether streams are intermittent or perennial at a specific site in Massachusetts by estimating the probability of a stream flowing perennially at that site. This information could assist the environmental agencies who administer the Commonwealth of Massachusetts Rivers Protection Act of 1996, which establishes a 200-foot-wide protected riverfront area extending from the mean annual high-water line along each side of a perennial stream, with exceptions for some urban areas. The equation was developed by relating the observed intermittent or perennial status of a stream site to selected basin characteristics of naturally flowing streams (defined as having no regulation by dams, surface-water withdrawals, ground-water withdrawals, diversion, wastewater discharge, and so forth) in Massachusetts. This revised equation differs from the equation developed in a previous U.S. Geological Survey study in that it is solely based on visual observations of the intermittent or perennial status of stream sites across Massachusetts and on the evaluation of several additional basin and land-use characteristics as potential explanatory variables in the logistic regression analysis. The revised equation estimated more accurately the intermittent or perennial status of the observed stream sites than the equation from the previous study.\n\nStream sites used in the analysis were identified as intermittent or perennial based on visual observation during low-flow periods from late July through early September 2001. The database of intermittent and perennial streams included a total of 351 naturally flowing (no regulation) sites, of which 85 were observed to be intermittent and 266 perennial. Stream sites included in the database had drainage areas that ranged from 0.04 to 10.96 square miles. Of the 66 stream sites with drainage areas greater than 2.00 square miles, 2 sites were intermittent and 64 sites were perennial. Thus, stream sites with drainage areas greater than 2.00 square miles were assumed to flow perennially, and the database used to develop the logistic regression equation included only those stream sites with drainage areas less than 2.00 square miles. The database for the equation included 285 stream sites that had drainage areas less than 2.00 square miles, of which 83 sites were intermittent and 202 sites were perennial.\n\nResults of the logistic regression analysis indicate that the probability of a stream flowing perennially at a specific site in Massachusetts can be estimated as a function of four explanatory variables: (1) drainage area (natural logarithm), (2) areal percentage of sand and gravel deposits, (3) areal percentage of forest land, and (4) region of the state (eastern region or western region). Although the equation provides an objective means of determining the probability of a stream flowing perennially at a specific site, the reliability of the equation is constrained by the data used in its development. The equation is not recommended for (1) losing stream reaches or (2) streams whose ground-water contributing areas do not coincide with their surface-water drainage areas, such as many streams draining the Southeast Coastal Region-the southern part of the South Coastal Basin, the eastern part of the Buzzards Bay Basin, and the entire area of the Cape Cod and the Islands Basins. If the equation were used on a regulated stream site, the estimated intermittent or perennial status would reflect the natural flow conditions for that site.\n\nAn automated mapping procedure was developed to determine the intermittent or perennial status of stream sites along reaches throughout a basin. The procedure delineates the drainage area boundaries, determines values for the four explanatory variables, and solves the equation for estimating the probability of a stream flowing perennially at two locations on a headwater (first-order) stream reach-one near its confluence or end point and one near its headwaters or start point. The automated procedure then determines the intermittent or perennial status of the reach on the basis of the calculated probability values and a probability cutpoint (a stream is considered to flow perennially at a cutpoint of 0.56 or greater for this study) for the two locations or continues to loop upstream or downstream between locations less than and greater than the cutpoint of 0.56 to determine the transition point from an intermittent to a perennial stream. If the first-order stream reach is determined to be intermittent, the procedure moves to the next downstream reach and repeats the same process. The automated procedure then moves to the next first-order stream and repeats the process until the entire basin is mapped.\n\nA map of the intermittent and perennial stream reaches in the Shawsheen River Basin is provided on a CD-ROM that accompanies this report. The CD-ROM also contains ArcReader 9.0, a freeware product, that allows a user to zoom in and out, set a scale, pan, turn on and off map layers (such as a USGS topographic map), and print a map of the stream site with a scale bar. Maps of the intermittent and perennial stream reaches in Massachusetts will provide city and town conservation commissions and the Massachusetts Department of Environmental Protection with an additional method for assessing the intermittent or perennial status of stream sites.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065031","collaboration":"In cooperation with the Massachusetts Department of Environmental Protection Bureau of Resource Protection Wetlands and Waterways Program","usgsCitation":"Bent, G.C., and Steeves, P.A., 2006, A revised logistic regression equation and an automated procedure for mapping the probability of a stream flowing perennially in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2006-5031, Report: vi, 107 p.; Appendix 2; Report Cover; Errata; CD-ROM, https://doi.org/10.3133/sir20065031.","productDescription":"Report: vi, 107 p.; Appendix 2; Report Cover; Errata; CD-ROM","numberOfPages":"113","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":194391,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20065031.GIF"},{"id":8993,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5031/","linkFileType":{"id":5,"text":"html"}},{"id":281430,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2006/5031/data/Shawsheen.zip"},{"id":281431,"type":{"id":12,"text":"Errata"},"url":"https://pubs.usgs.gov/sir/2006/5031/pdfs/per-int_errata2008.pdf"},{"id":281429,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2006/5031/pdfs/sir2006-5031_text-appendix1_508.pdf"},{"id":281432,"type":{"id":8,"text":"Cover"},"url":"https://pubs.usgs.gov/sir/2006/5031/pdfs/reportcoversir2006-5031.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b28e4b07f02db6b1500","contributors":{"authors":[{"text":"Bent, Gardner C. 0000-0002-5085-3146 gbent@usgs.gov","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":1864,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner","email":"gbent@usgs.gov","middleInitial":"C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steeves, Peter A. 0000-0001-7558-9719 psteeves@usgs.gov","orcid":"https://orcid.org/0000-0001-7558-9719","contributorId":1873,"corporation":false,"usgs":true,"family":"Steeves","given":"Peter","email":"psteeves@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289948,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79441,"text":"ds217 - 2006 - Archive of digital boomer seismic reflection data collected during USGS field activities 95LCA03 and 96LCA02 in the Peace River of West-Central Florida, 1995 and 1996","interactions":[],"lastModifiedDate":"2014-10-09T15:04:52","indexId":"ds217","displayToPublicDate":"2006-12-07T00:00:00","publicationYear":"2006","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":"217","title":"Archive of digital boomer seismic reflection data collected during USGS field activities 95LCA03 and 96LCA02 in the Peace River of West-Central Florida, 1995 and 1996","docAbstract":"<p>In October and November of 1995 and February of 1996, the U.S. Geological Survey, in cooperation with the Southwest Florida Water Management District, conducted geophysical surveys of the Peace River in west-central Florida from east of Bartow to west of Arcadia. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, GIS files, Field Activity Collection System (FACS) logs, observers' logbooks, and formal FGDC metadata. Filtered and gained digital images of the seismic profiles are also provided. Refer to the Acronyms page for expansion of acronyms and abbreviations used in this report.</p>\n<br>\n<p>The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds217","usgsCitation":"Calderon, K., Dadisman, S.V., Tihansky, A.B., Lewelling, B.R., Flocks, J.G., Wiese, D.S., Kindinger, J.L., and Harrison, A.S., 2006, Archive of digital boomer seismic reflection data collected during USGS field activities 95LCA03 and 96LCA02 in the Peace River of West-Central Florida, 1995 and 1996: U.S. Geological Survey Data Series 217, HTML Document, https://doi.org/10.3133/ds217.","productDescription":"HTML Document","additionalOnlineFiles":"Y","temporalStart":"1995-10-01","temporalEnd":"1996-02-28","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":194657,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds217.PNG"},{"id":8958,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/217/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Peace River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679d8b","contributors":{"authors":[{"text":"Calderon, Karynna","contributorId":92739,"corporation":false,"usgs":true,"family":"Calderon","given":"Karynna","email":"","affiliations":[],"preferred":false,"id":289922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":289917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tihansky, Ann B. tihansky@usgs.gov","contributorId":2477,"corporation":false,"usgs":true,"family":"Tihansky","given":"Ann","email":"tihansky@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":289919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewelling, Bill R.","contributorId":32464,"corporation":false,"usgs":true,"family":"Lewelling","given":"Bill","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":289920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289916,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289918,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":289915,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harrison, Arnell S. 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":35021,"corporation":false,"usgs":true,"family":"Harrison","given":"Arnell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":289921,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":79439,"text":"ofr20061327 - 2006 - Digital data from the Leadville/Buena Vista aeromagnetic survey covering parts of Chaffee, Eagle, Lake, Park, and Summit Counties, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:39","indexId":"ofr20061327","displayToPublicDate":"2006-12-07T00:00:00","publicationYear":"2006","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":"2006-1327","title":"Digital data from the Leadville/Buena Vista aeromagnetic survey covering parts of Chaffee, Eagle, Lake, Park, and Summit Counties, Colorado","language":"ENGLISH","doi":"10.3133/ofr20061327","usgsCitation":"Bankey, V., and Goldak Airborne Surveys, 2006, Digital data from the Leadville/Buena Vista aeromagnetic survey covering parts of Chaffee, Eagle, Lake, Park, and Summit Counties, Colorado: U.S. Geological Survey Open-File Report 2006-1327, ii, 3 p., https://doi.org/10.3133/ofr20061327.","productDescription":"ii, 3 p.","numberOfPages":"5","onlineOnly":"Y","temporalStart":"2002-01-01","temporalEnd":"2002-12-31","costCenters":[],"links":[{"id":192191,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8956,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1327/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.6,38.6 ], [ -106.6,39.8 ], [ -105.8,39.8 ], [ -105.8,38.6 ], [ -106.6,38.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d585","contributors":{"authors":[{"text":"Bankey, Viki viki@usgs.gov","contributorId":1238,"corporation":false,"usgs":true,"family":"Bankey","given":"Viki","email":"viki@usgs.gov","affiliations":[],"preferred":true,"id":289912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldak Airborne Surveys","contributorId":127961,"corporation":true,"usgs":false,"organization":"Goldak Airborne Surveys","id":534829,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}