{"pageNumber":"955","pageRowStart":"23850","pageSize":"25","recordCount":68937,"records":[{"id":79634,"text":"sir20065324 - 2007 - Water-Level Changes in the High Plains Aquifer, Predevelopment to 2005 and 2003 to 2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:18","indexId":"sir20065324","displayToPublicDate":"2007-02-15T00:00:00","publicationYear":"2007","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":"2006-5324","title":"Water-Level Changes in the High Plains Aquifer, Predevelopment to 2005 and 2003 to 2005","docAbstract":"The High Plains aquifer underlies 111.4 million acres (174,000 square miles) in parts of eight States-Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. Water-level declines began in parts of the High Plains aquifer soon after the beginning of extensive ground-water irrigation. This report presents water-level changes in the High Plains aquifer from the time prior to substantial ground-water irrigation development (about 1950) to 2005 and from 2003 to 2005. \r\n\r\nWater-level changes from predevelopment to 2005 ranged between a rise of 84 feet and a decline of 277 feet. Area-weighted, average water-level change in the aquifer was a decline of 12.8 feet from predevelopment to 2005, a decline of 0.8 foot from 2003 to 2004, and a decline of 0.2 foot from 2004 to 2005. Total water in storage in the aquifer in 2005 was about 2,925 million acre-feet, which was a decline of about 253 million acre-feet (or 9 percent) since predevelopment. ","language":"ENGLISH","doi":"10.3133/sir20065324","usgsCitation":"McGuire, V., 2007, Water-Level Changes in the High Plains Aquifer, Predevelopment to 2005 and 2003 to 2005: U.S. Geological Survey Scientific Investigations Report 2006-5324, iv, 7 p., https://doi.org/10.3133/sir20065324.","productDescription":"iv, 7 p.","numberOfPages":"11","temporalStart":"1950-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":125053,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5324.jpg"},{"id":9264,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5324/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f2e4b07f02db5eef08","contributors":{"authors":[{"text":"McGuire, V. L. 0000-0002-3962-4158","orcid":"https://orcid.org/0000-0002-3962-4158","contributorId":94702,"corporation":false,"usgs":true,"family":"McGuire","given":"V. L.","affiliations":[],"preferred":false,"id":290440,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79631,"text":"ofr20071022 - 2007 - Compositional Data for Bengal Delta Sediment Collected from a Borehole at Rajoir, Bangladesh","interactions":[],"lastModifiedDate":"2012-02-02T00:14:12","indexId":"ofr20071022","displayToPublicDate":"2007-02-13T00:00:00","publicationYear":"2007","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":"2007-1022","title":"Compositional Data for Bengal Delta Sediment Collected from a Borehole at Rajoir, Bangladesh","docAbstract":"Processes active within sediment of the Bengal basin have attracted world concern because of the locally high content of arsenic dissolved in ground water drawn from that sediment. Sediment samples were collected from a borehole in the town of Rajoir, Rajoir upazila, Madaripur district, Bangladesh, to investigate the processes contributing to arsenic contamination. The samples were mineralogically and chemically analyzed to determine compositional variations related to the arsenic content of the sediment. Mineralogy of the sediment was determined using powder X-ray diffraction. Bulk chemical composition was measured by Combustion; Inductively Coupled Plasma Atomic Emission Spectroscopy; Energy Dispersive X-ray Fluorescence; and Hydride Generation Atomic Absorption Spectrophotometry. Sediment was treated with 0.5 N HCl and resulting solutions were analyzed, primarily to evaluate the abundance and oxidation state of acid-soluble iron. Acid-volatile sulfide, acid-soluble sulfate, and reducible sulfide were also measured on a few samples. Sediment sampled at Rajoir is typically unlithified, gray, micaceous, feldspathic arenaceous sand with a few silt and clay layers. Arsenic content of the sediment ranges from 0.6 to 21 ppm with a median of 1.2 ppm.\r\n","language":"ENGLISH","doi":"10.3133/ofr20071022","collaboration":"In cooperation with the Geological Survey of Bangladesh and Bangladesh Water Development Board","usgsCitation":"Breit, G.N., Yount, J., Uddin, N., Muneem, A.A., Lowers, H., Berry, C.J., and Whitney, J.W., 2007, Compositional Data for Bengal Delta Sediment Collected from a Borehole at Rajoir, Bangladesh: U.S. Geological Survey Open-File Report 2007-1022, vi, 40 p., https://doi.org/10.3133/ofr20071022.","productDescription":"vi, 40 p.","numberOfPages":"46","onlineOnly":"Y","costCenters":[],"links":[{"id":190643,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9260,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1022/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a7fdc","contributors":{"authors":[{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":290428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yount, James C.","contributorId":39341,"corporation":false,"usgs":true,"family":"Yount","given":"James C.","affiliations":[],"preferred":false,"id":290429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uddin, Nehal","contributorId":60721,"corporation":false,"usgs":true,"family":"Uddin","given":"Nehal","email":"","affiliations":[],"preferred":false,"id":290431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muneem, Ad. Atual","contributorId":49873,"corporation":false,"usgs":true,"family":"Muneem","given":"Ad.","email":"","middleInitial":"Atual","affiliations":[],"preferred":false,"id":290430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":710,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":290425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berry, Cyrus J. cjberry@usgs.gov","contributorId":946,"corporation":false,"usgs":true,"family":"Berry","given":"Cyrus","email":"cjberry@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":290427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whitney, John W. 0000-0003-3824-3692 jwhitney@usgs.gov","orcid":"https://orcid.org/0000-0003-3824-3692","contributorId":804,"corporation":false,"usgs":true,"family":"Whitney","given":"John","email":"jwhitney@usgs.gov","middleInitial":"W.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":290426,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":79629,"text":"ofr20061395 - 2007 - Peak stages from backwater conditions at streamflow-gaging stations in and near South Dakota through water year 2001","interactions":[],"lastModifiedDate":"2017-10-14T14:18:45","indexId":"ofr20061395","displayToPublicDate":"2007-02-13T00:00:00","publicationYear":"2007","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":"2006-1395","title":"Peak stages from backwater conditions at streamflow-gaging stations in and near South Dakota through water year 2001","docAbstract":"Stream stages associated with the annual peak discharge are presented for 182 streamflow-gaging stations in and near South Dakota. The peak stage at a station can occur as the result of the annual maximum discharge, but also as the result of backwater conditions. Backwater, often caused by ice, can produce a peak stage higher than the stage coincident with annual maximum discharge. The U.S. Geological Survey has cooperated with the South Dakota Department of Transportation to prepare this report, which provides a summary of peak-stage data through water year 2001 for gaging stations in and near South Dakota where annual peak stages resulting from backwater conditions have exceeded stages associated with annual peak discharge by as much as several feet. Where applicable, data summaries include the flood stage that is assigned by the National Weather Service.\r\n\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061395","collaboration":"Prepared in cooperation with the South Dakota Department of Transportation","usgsCitation":"Thompson, R.F., 2007, Peak stages from backwater conditions at streamflow-gaging stations in and near South Dakota through water year 2001: U.S. Geological Survey Open-File Report 2006-1395, iv, 55 p., https://doi.org/10.3133/ofr20061395.","productDescription":"iv, 55 p.","numberOfPages":"59","onlineOnly":"Y","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":192105,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9258,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1395/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Dakota","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db688a31","contributors":{"authors":[{"text":"Thompson, Ryan F. 0000-0002-4544-6108 rcthomps@usgs.gov","orcid":"https://orcid.org/0000-0002-4544-6108","contributorId":2702,"corporation":false,"usgs":true,"family":"Thompson","given":"Ryan","email":"rcthomps@usgs.gov","middleInitial":"F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290419,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79624,"text":"tm4E1 - 2007 - Guidelines for preparation of State water-use estimates for 2005","interactions":[],"lastModifiedDate":"2012-02-02T00:14:22","indexId":"tm4E1","displayToPublicDate":"2007-02-10T00:00:00","publicationYear":"2007","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":"4-E1","title":"Guidelines for preparation of State water-use estimates for 2005","docAbstract":"The U.S. Geological Survey (USGS) has estimated the use of water in the United States at 5-year intervals since 1950. This report describes the water-use categories and data elements required for the 2005 national water-use compilation conducted as part of the USGS National Water Use Information Program. The report identifies sources of water-use information, provides standard methods and techniques for estimating water use at the county level, and outlines steps for preparing documentation for the United States, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands.\r\n\r\nAs part of this USGS program to document water use on a national scale for the year 2005, estimates of water withdrawals for the categories of public supply, self-supplied domestic, industrial, irrigation, and thermoelectric power at the county level are prepared for each State using the guidelines in this report. Estimates of water withdrawals for aquaculture, livestock, and mining are prepared for each State using a county-based national model, although study chiefs in each State have the option of producing independent county estimates of water withdrawals for these categories. Estimates of deliveries of water from public supplies for domestic use by county also will be prepared for each State for 2005. As a result, domestic water use can be determined for each State by combining self-supplied domestic withdrawals and publicly supplied domestic deliveries. Fresh ground-water and surfacewater estimates will be prepared for all categories of use; and saline ground-water and surface-water estimates by county will be prepared for the categories of public supply, industrial, and thermoelectric power. Power production for thermoelectric power will be compiled for 2005. If data are available, reclaimed wastewater use will be compiled for the industrial and irrigation categories.\r\n\r\nOptional water-use categories are commercial, hydroelectric power, and wastewater treatment. Optional data elements are public-supply deliveries to commercial, industrial, and thermoelectric-power users; consumptive use; irrigation conveyance loss; and number of facilities. Aggregation of water-use data by eight-digit hydrologic cataloging unit and by principal aquifer also is optional.\r\n\r\nWater-use data compiled by the States will be stored in the USGS Aggregate Water-Use Data System (AWUDS). This database is a comprehensive aggregated database designed to store both mandatory and optional data elements. AWUDS contains several routines that can be used for quality assurance and quality control of the data, and produces tables of wateruse data compiled for 1985, 1990, 1995, and 2000.\r\n","language":"ENGLISH","doi":"10.3133/tm4E1","collaboration":"Book 4, Chapter E1","usgsCitation":"Hutson, S.S., 2007, Guidelines for preparation of State water-use estimates for 2005: U.S. Geological Survey Techniques and Methods 4-E1, viii, 28 p., https://doi.org/10.3133/tm4E1.","productDescription":"viii, 28 p.","numberOfPages":"36","onlineOnly":"Y","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":194445,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9252,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/2007/tm4e1/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a088","contributors":{"authors":[{"text":"Hutson, Susan S. sshutson@usgs.gov","contributorId":2040,"corporation":false,"usgs":true,"family":"Hutson","given":"Susan","email":"sshutson@usgs.gov","middleInitial":"S.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290408,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79621,"text":"ds242 - 2007 - Archive of digital chirp seismic reflection data collected during USGS cruise 05SCC01 offshore of Port Fourchon and Timbalier Bay, Louisiana, August 2005","interactions":[],"lastModifiedDate":"2014-08-27T10:46:52","indexId":"ds242","displayToPublicDate":"2007-02-10T00:00:00","publicationYear":"2007","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":"242","title":"Archive of digital chirp seismic reflection data collected during USGS cruise 05SCC01 offshore of Port Fourchon and Timbalier Bay, Louisiana, August 2005","docAbstract":"<p>In August of 2005, the U.S. Geological Survey conducted geophysical surveys offshore of Port Fourchon and Timbalier Bay, Louisiana, and in nearby waterbodies. This report serves as an archive of unprocessed digital chirp seismic reflection data, trackline maps, navigation files, GIS information, Field Activity Collection System (FACS) logs, observer's logbook, and formal FGDC metadata. Filtered and gained digital images of the seismic profiles are also provided. \nThe 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/ds242","usgsCitation":"Harrison, A.S., Dadisman, S.V., Flocks, J.G., Wiese, D.S., and Calderon, K., 2007, Archive of digital chirp seismic reflection data collected during USGS cruise 05SCC01 offshore of Port Fourchon and Timbalier Bay, Louisiana, August 2005: U.S. Geological Survey Data Series 242, HTML Document, https://doi.org/10.3133/ds242.","productDescription":"HTML Document","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":192668,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds242.PNG"},{"id":9248,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2007/242/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Port Fourchon;Timbalier Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.418,29.0222 ], [ -90.418,29.1144 ], [ -89.956,29.1144 ], [ -89.956,29.0222 ], [ -90.418,29.0222 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699cc9","contributors":{"authors":[{"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":290402,"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":290400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":290399,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":290401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calderon, Karynna","contributorId":92739,"corporation":false,"usgs":true,"family":"Calderon","given":"Karynna","email":"","affiliations":[],"preferred":false,"id":290403,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":79618,"text":"ofr20071029 - 2007 - Landsat ETM+ False-Color Image Mosaics of Afghanistan","interactions":[],"lastModifiedDate":"2012-02-02T00:14:19","indexId":"ofr20071029","displayToPublicDate":"2007-02-08T00:00:00","publicationYear":"2007","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":"2007-1029","title":"Landsat ETM+ False-Color Image Mosaics of Afghanistan","docAbstract":"In 2005, the U.S. Agency for International Development and the U.S. Trade and Development Agency contracted with the U.S. Geological Survey to perform assessments of the natural resources within Afghanistan. The assessments concentrate on the resources that are related to the economic development of that country. Therefore, assessments were initiated in oil and gas, coal, mineral resources, water resources, and earthquake hazards. All of these assessments require geologic, structural, and topographic information throughout the country at a finer scale and better accuracy than that provided by the existing maps, which were published in the 1970's by the Russians and Germans. The very rugged terrain in Afghanistan, the large scale of these assessments, and the terrorist threat in Afghanistan indicated that the best approach to provide the preliminary assessments was to use remotely sensed, satellite image data, although this may also apply to subsequent phases of the assessments. Therefore, the first step in the assessment process was to produce satellite image mosaics of Afghanistan that would be useful for these assessments. This report discusses the production of the Landsat false-color image database produced for these assessments, which was produced from the calibrated Landsat ETM+ image mosaics described by Davis (2006).","language":"ENGLISH","doi":"10.3133/ofr20071029","usgsCitation":"Davis, P.A., 2007, Landsat ETM+ False-Color Image Mosaics of Afghanistan (Version 1.0): U.S. Geological Survey Open-File Report 2007-1029, 22 p., https://doi.org/10.3133/ofr20071029.","productDescription":"22 p.","numberOfPages":"22","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":194640,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9243,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1029/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adee4","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":290390,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79617,"text":"sir20065318 - 2007 - A Deep Percolation Model for Estimating Ground-Water Recharge: Documentation of Modules for the Modular Modeling System of the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2012-03-08T17:16:20","indexId":"sir20065318","displayToPublicDate":"2007-02-07T00:00:00","publicationYear":"2007","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":"2006-5318","title":"A Deep Percolation Model for Estimating Ground-Water Recharge: Documentation of Modules for the Modular Modeling System of the U.S. Geological Survey","docAbstract":"A daily water-budget model for estimating ground-water recharge, the Deep Percolation Model, was modularized for inclusion into the U.S. Geological Survey's Modular Modeling System. The model was modularized in order to facilitate estimation of ground-water recharge under a large range in climatic, landscape, and land-use and land-cover conditions. The model can be applied to areas as large as regions or as small as a field plot.\r\n\r\nAn overview of the Modular Modeling System and the Deep Percolation Model is presented. Data requirements, parameters, and variables for the model are described. The modules that compose the Deep Percolation Model are documented.\r\n\r\n","language":"ENGLISH","doi":"10.3133/sir20065318","collaboration":"Prepared in cooperation with the Bureau of Reclamation, Yakama Nation, and Washington State Department of Ecology","usgsCitation":"Vaccaro, J.J., 2007, A Deep Percolation Model for Estimating Ground-Water Recharge: Documentation of Modules for the Modular Modeling System of the U.S. Geological Survey: U.S. Geological Survey Scientific Investigations Report 2006-5318, iv, 30 p., https://doi.org/10.3133/sir20065318.","productDescription":"iv, 30 p.","numberOfPages":"34","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":191982,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9240,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5318/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4952e4b0b290850ef0d1","contributors":{"authors":[{"text":"Vaccaro, J. J.","contributorId":48173,"corporation":false,"usgs":true,"family":"Vaccaro","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":290389,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79616,"text":"ofr20071011 - 2007 - Circulation and physical processes within the San Gabriel River Estuary during summer 2005","interactions":[],"lastModifiedDate":"2014-09-11T13:58:43","indexId":"ofr20071011","displayToPublicDate":"2007-02-07T00:00:00","publicationYear":"2007","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":"2007-1011","title":"Circulation and physical processes within the San Gabriel River Estuary during summer 2005","docAbstract":"<p>The Southern California Coastal Water Research Project (SCCWRP) is developing a hydrodynamic model of the SGR estuary, which is part of the comprehensive water-quality model of the SGR estuary and watershed investigated by SCCWRP and other local agencies. The hydrodynamic model will help understanding of 1) the exchange processes between the estuary and coastal ocean; 2) the circulation patterns in the estuary; 3) upstream natural runoff and the cooling discharge from PGS.</p>\n<br>\n<p>Like all models, the SGR hydrodynamic model is only useful after it is fully calibrated and validated. In May 2005, SCCWRP requested the assistance of the U.S. geological Survey (USGS) Coastal and Marine Geology team (CMG) in collecting data on the hydrodynamic conditions in the estuary during the summer dry season. The summer was chosen for field data collection as this was assumed to be the season with the greatest potential for chronic degraded water quality due to low river flow and high thermal stratification within the estuary (due to both higher average air temperature and PGS output). Water quality can be degraded in winter as well, when higher river discharge events bring large volumes of water from the Los Angeles basin into the estuary. The objectives of this project were to 1) collect hydrodynamic data along the SGR estuary; 2) study exchange processes within the estuary through analysis of the hydrodynamic data; and 3) provide field data for model calibration and validation. As the data only exist for the summer season, the results herein only apply to summer conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071011","usgsCitation":"Rosenberger, K., Xu, J., Stein, E.D., Noble, M.A., and Gartner, A.L., 2007, Circulation and physical processes within the San Gabriel River Estuary during summer 2005 (Version 1.0): U.S. Geological Survey Open-File Report 2007-1011, Report: 48 p.; Appendix: 66 p., https://doi.org/10.3133/ofr20071011.","productDescription":"Report: 48 p.; Appendix: 66 p.","temporalStart":"2005-05-01","temporalEnd":"2005-10-31","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":190748,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20071011.PNG"},{"id":9239,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1011/","linkFileType":{"id":5,"text":"html"}},{"id":293761,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2007/1011/of2007-1011Appendices.pdf"},{"id":293760,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1011/of2007-1011.pdf"}],"country":"United States","state":"California","otherGeospatial":"San Gabriel River Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.25,33.666667 ], [ -118.25,33.75 ], [ -118.0,33.75 ], [ -118.0,33.666667 ], [ -118.25,33.666667 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abce4b07f02db672cb4","contributors":{"authors":[{"text":"Rosenberger, Kurt J.","contributorId":12934,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt J.","affiliations":[],"preferred":false,"id":290386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, Jingping jpx@usgs.gov","contributorId":2574,"corporation":false,"usgs":true,"family":"Xu","given":"Jingping","email":"jpx@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":290385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stein, Eric D.","contributorId":20023,"corporation":false,"usgs":true,"family":"Stein","given":"Eric","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":290387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noble, Marlene A. mnoble@usgs.gov","contributorId":1429,"corporation":false,"usgs":true,"family":"Noble","given":"Marlene","email":"mnoble@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":290384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gartner, Anne L.","contributorId":32620,"corporation":false,"usgs":true,"family":"Gartner","given":"Anne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":290388,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":79614,"text":"ofr20061387 - 2007 - Status review of the Marbled Murrelet (Brachyramphus marmoratus) in Alaska and British Columbia","interactions":[],"lastModifiedDate":"2020-11-04T15:14:20.775367","indexId":"ofr20061387","displayToPublicDate":"2007-02-04T00:00:00","publicationYear":"2007","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":"2006-1387","displayTitle":"Status review of the Marbled Murrelet (<i>Brachyramphus marmoratus</i>) in Alaska and British Columbia","title":"Status review of the Marbled Murrelet (Brachyramphus marmoratus) in Alaska and British Columbia","docAbstract":"<p><span>The Marbled Murrelet (</span><i>Brachyramphus marmoratus</i><span>) is a small, diving seabird inhabiting inshore waters of the Northeastern Pacific Ocean. This species feeds on small, schooling fishes and zooplankton, and nests primarily on the moss-covered branches of large, old-growth conifers, and also, in some parts of its range, on the ground. We reviewed existing information on this species to evaluate its current status in the northern part of its range—Alaska (U.S.) and British Columbia (Canada). Within the southern part of its range (Washington, Oregon, and California, U.S.), the Marbled Murrelet was listed as a threatened species under the Endangered Species Act (ESA) in 1993, and the U.S. Fish and Wildlife Service (USFWS) needed information on the species throughout its range for ESA deliberations. We compiled published information on the conservation status, population biology, foraging ecology, population genetics, population status and trends, demography, marine and nesting habitat characteristics, threats, and ongoing conservation efforts for Marbled Murrelets in Alaska and British Columbia. We conducted a new genetic study using samples from a segment of the range that had not been included in previous studies (Washington, Oregon) and additional nuclear intron and microsatellite markers. We also analyzed available at-sea survey data from several locations for trend. To understand the reasonableness of the empirical trend data, we developed demographic models incorporating stochasticity to discern what population trends were possible by chance. The genetic studies substantially confirmed previous findings on population structure in the Marbled Murrelet. Our present work finds three populations: (1) one comprising birds in the central and western Aleutian Islands; (2) one comprising birds in central California; and (3)&nbsp;one comprising birds within the center of the range from the eastern Aleutians to northern California. Our knowledge of genetic structure within this central population is limited and it requires additional study. Compiling available abundance information, we estimated that in the recent past, Marbled Murrelets in Alaska numbered on the order of 1 million birds. We were unable to generate a similar estimate for historical population size in British Columbia. Using trend information from at-sea surveys spanning a wide geographic range in Alaska, murrelet numbers declined significantly at five of eight trend sites at annual rates of -5.4 to -12.7 percent since the early 1990s. Applying these rates of decline to the historical population estimate, the current murrelet population in Alaska is projected to be on the order of 270,000 birds. This represents an overall population decline of about 70 percent during the past 25 years. In British Columbia, available trend data indicate that murrelet populations there have experienced similar declines. We updated a recent (2002) population estimate for British Columbia, concluding that there are now between 54,000 and 92,000 murrelets in British Columbia. The rates of decline we observed are within, but at the high end of, a range of rates expected by chance. Given that declines were estimated for sites over essentially the entire northern range of the species, there is cause for concern about the species’ status. In their marine habitats, Marbled Murrelets overlap with salmon (Oncorhynchus sp.) gillnetting operations in British Columbia and in Alaska (especially in Prince William Sound and Southeast Alaska), and annual bycatch mortality is likely in the low thousands per year, although bycatch rates are difficult to measure. The species’ inshore distribution coincides with high levels of vessel traffic and makes them especially vulnerable to both chronic oil pollution and to catastrophic spills (e.g., the 1989&nbsp;</span><i>Exxon Valdez</i><span>&nbsp;oil spill [EVOS] in south-central Alaska, which is estimated to have killed 12,000 to 15,000 murrelets). In their forested nesting habitats, Marbled Murrelets have lost about 15 percent of their suitable nesting habitat in Southeast Alaska, and 33 to 49 percent in British Columbia, from industrial-scale logging within the past half century. Increased predation also may be a threat to murrelet populations, related to fragmentation and edge effects from logging and development, and recent population increases observed for some important murrelet predators, including Bald Eagles (</span><i>Haliaeetus leucocephalus</i><span>), Common Ravens (</span><i>Corvus corax</i><span>), and Steller’s Jays (</span><i>Cyanocitta stelleri</i><span>). Nesting habitat losses cannot explain the declines observed in areas where industrial logging has not occurred on a large scale (e.g., Prince William Sound) or at all (Glacier Bay). The apparent change in population size and rates of decline reported for the Marbled Murrelet are large, and we therefore considered alternative explanations and precedents for changes of similar magnitude in other marine wildlife populations in the Northeastern Pacific Ocean. The declines are likely real, and related to combined and cumulative effects from climate-related changes in the marine ecosystem (most likely the 1977 regime shift) and human activities (logging, gillnet bycatch, oil pollution). Much uncertainty about the decline could be alleviated by continuing to repeat boat surveys in Prince William Sound and lower Cook Inlet, and by repeating the boat survey of Southeast Alaska that was conducted in 1994. This survey used a statistically sound design and covered the region that has been and likely remains the center of the species’ abundance. Important questions remain to be addressed about methods for measuring population status and change, adult mortality (major sources, density dependence, seasonal concordance), and the movements of wintering populations.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061387","usgsCitation":"Piatt, J.F., Kuletz, K., Burger, A., Hatch, S.A., Friesen, V.L., Birt, T., Arimitsu, M.L., Drew, G., Harding, A., and Bixler, K., 2007, Status review of the Marbled Murrelet (Brachyramphus marmoratus) in Alaska and British Columbia: U.S. Geological Survey Open-File Report 2006-1387, xiv, 258 p., https://doi.org/10.3133/ofr20061387.","productDescription":"xiv, 258 p.","numberOfPages":"274","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":194850,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9237,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1387/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","state":"Alaska, British Columbia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.98046874999999,\n              48.3416461723746\n            ],\n            [\n              -122.607421875,\n              49.095452162534826\n            ],\n            [\n              -128.583984375,\n              55.178867663281984\n            ],\n            [\n              -135.703125,\n              59.5343180010956\n            ],\n          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WTEB","active":true,"usgs":true}],"preferred":true,"id":290380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuletz, K.J.","contributorId":98002,"corporation":false,"usgs":true,"family":"Kuletz","given":"K.J.","affiliations":[],"preferred":false,"id":290382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burger, A.E.","contributorId":56605,"corporation":false,"usgs":true,"family":"Burger","given":"A.E.","email":"","affiliations":[],"preferred":false,"id":290375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Scott A. 0000-0002-0064-8187 shatch@usgs.gov","orcid":"https://orcid.org/0000-0002-0064-8187","contributorId":2625,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","email":"shatch@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":290376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Friesen, Vicki L.","contributorId":59407,"corporation":false,"usgs":false,"family":"Friesen","given":"Vicki","email":"","middleInitial":"L.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":290377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Birt, T.P.","contributorId":82411,"corporation":false,"usgs":true,"family":"Birt","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":290379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":290373,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Drew, G.S.","contributorId":95415,"corporation":false,"usgs":true,"family":"Drew","given":"G.S.","email":"","affiliations":[],"preferred":false,"id":290381,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Harding, A.M.A.","contributorId":29088,"corporation":false,"usgs":true,"family":"Harding","given":"A.M.A.","email":"","affiliations":[],"preferred":false,"id":290374,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bixler, K.S.","contributorId":72889,"corporation":false,"usgs":true,"family":"Bixler","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":290378,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":79611,"text":"tm4A6 - 2007 - The National Streamflow Statistics Program: A Computer Program for Estimating Streamflow Statistics for Ungaged Sites","interactions":[],"lastModifiedDate":"2023-03-10T13:02:12.06327","indexId":"tm4A6","displayToPublicDate":"2007-02-04T00:00:00","publicationYear":"2007","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":"4-A6","title":"The National Streamflow Statistics Program: A Computer Program for Estimating Streamflow Statistics for Ungaged Sites","docAbstract":"The National Streamflow Statistics (NSS) Program is a computer program that should be useful to engineers, hydrologists, and others for planning, management, and design applications. NSS compiles all current U.S. Geological Survey (USGS) regional regression equations for estimating streamflow statistics at ungaged sites in an easy-to-use interface that operates on computers with Microsoft Windows operating systems. NSS expands on the functionality of the USGS National Flood Frequency Program, and replaces it.\r\n\r\nThe regression equations included in NSS are used to transfer streamflow statistics from gaged to ungaged sites through the use of watershed and climatic characteristics as explanatory or predictor variables. Generally, the equations were developed on a statewide or metropolitan-area basis as part of cooperative study programs. Equations are available for estimating rural and urban flood-frequency statistics, such as the 1 00-year flood, for every state, for Puerto Rico, and for the island of Tutuila, American Samoa. Equations are available for estimating other statistics, such as the mean annual flow, monthly mean flows, flow-duration percentiles, and low-flow frequencies (such as the 7-day, 0-year low flow) for less than half of the states. All equations available for estimating streamflow statistics other than flood-frequency statistics assume rural (non-regulated, non-urbanized) conditions.\r\n\r\nThe NSS output provides indicators of the accuracy of the estimated streamflow statistics. The indicators may include any combination of the standard error of estimate, the standard error of prediction, the equivalent years of record, or 90 percent prediction intervals, depending on what was provided by the authors of the equations.\r\n\r\nThe program includes several other features that can be used only for flood-frequency estimation. These include the ability to generate flood-frequency plots, and plots of typical flood hydrographs for selected recurrence intervals, estimates of the probable maximum flood, extrapolation of the 500-year flood when an equation for estimating it is not available, and weighting techniques to improve flood-frequency estimates for gaging stations and ungaged sites on gaged streams.\r\n\r\nThis report describes the regionalization techniques used to develop the equations in NSS and provides guidance on the applicability and limitations of the techniques. The report also includes a users manual and a summary of equations available for estimating basin lagtime, which is needed by the program to generate flood hydrographs. The NSS software and accompanying database, and the documentation for the regression equations included in NSS, are available on the Web at http://water.usgs.gov/software/.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm4A6","collaboration":"Chapter 6 of\r\nBook 4, Hydrologic Analysis and Interpretation\r\nSection A, Statistical Analysis","usgsCitation":"Ries, K.G., With sections by Atkins, J.B., Hummel, P., Gray, M., Dusenbury, R., Jennings, M., Kirby, W., Riggs, H.C., Sauer, V., and Thomas, W., 2007, The National Streamflow Statistics Program: A Computer Program for Estimating Streamflow Statistics for Ungaged Sites: U.S. Geological Survey Techniques and Methods 4-A6, vi, 37 p., https://doi.org/10.3133/tm4A6.","productDescription":"vi, 37 p.","numberOfPages":"43","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":124332,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_4_a6.gif"},{"id":9234,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/2006/tm4a6/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b054","contributors":{"authors":[{"text":"Ries, Kernell G. III kries@usgs.gov","contributorId":30312,"corporation":false,"usgs":true,"family":"Ries","given":"Kernell","suffix":"III","email":"kries@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":false,"id":290358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"With sections by Atkins, J. B.","contributorId":58368,"corporation":false,"usgs":true,"family":"With sections by Atkins","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":290362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hummel, P.R.","contributorId":73642,"corporation":false,"usgs":true,"family":"Hummel","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":290364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Matthew J.","contributorId":101343,"corporation":false,"usgs":true,"family":"Gray","given":"Matthew J.","affiliations":[],"preferred":false,"id":290366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dusenbury, R.","contributorId":33011,"corporation":false,"usgs":true,"family":"Dusenbury","given":"R.","email":"","affiliations":[],"preferred":false,"id":290360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jennings, M.E.","contributorId":76775,"corporation":false,"usgs":true,"family":"Jennings","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":290365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirby, W.H.","contributorId":65468,"corporation":false,"usgs":true,"family":"Kirby","given":"W.H.","email":"","affiliations":[],"preferred":false,"id":290363,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Riggs, H. C.","contributorId":17210,"corporation":false,"usgs":true,"family":"Riggs","given":"H.","email":"","middleInitial":"C.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":290357,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sauer, V.B.","contributorId":39380,"corporation":false,"usgs":true,"family":"Sauer","given":"V.B.","email":"","affiliations":[],"preferred":false,"id":290361,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thomas, W.O. Jr.","contributorId":32133,"corporation":false,"usgs":true,"family":"Thomas","given":"W.O.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":290359,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":79609,"text":"ofr20061376 - 2007 - Reconnaissance of arsenic concentrations in ground water from bedrock and unconsolidated aquifers in eight northern-tier counties of Pennsylvania","interactions":[],"lastModifiedDate":"2017-07-06T17:36:07","indexId":"ofr20061376","displayToPublicDate":"2007-02-03T00:00:00","publicationYear":"2007","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":"2006-1376","title":"Reconnaissance of arsenic concentrations in ground water from bedrock and unconsolidated aquifers in eight northern-tier counties of Pennsylvania","docAbstract":"<p>Samples of ground water for analysis of total-arsenic concentrations were collected in eight counties--Potter, Tioga, Bradford, Susquehanna, Wayne, Pike, Sullivan, and Wyoming--and from eight bedrock formations (bedrock aquifers) and overlying glacial aquifers in the north-central and northeastern parts of Pennsylvania in July 2005 and from March through June 2006. The samples were collected from a total of 143 domestic wells, 2 stock wells, 4 non-community wells, 2 community water-system wells, and 3 domestic springs by well or spring owners using sampling kits provided by the U.S. Geological Survey (USGS). An additional 15 domestic wells were sampled by the USGS for analysis of total arsenic. These 15 samples were collected using the same methods and sampling kits provided to the homeowners. <br></p><p>Samples were analyzed for total arsenic by the Pennsylvania Department of Environmental Protection Laboratory using a minimum reporting level of 4.0 µg/L (micrograms per liter). Arsenic was detected in water from 18 domestic wells in four counties--Bradford (3 wells), Sullivan (1 well), Tioga (13 wells), and Wayne (1 well). The median concentration of total arsenic was less than 4.0 µg/L, and the maximum concentration was 188 µg/L. Water from 10 wells had concentrations of total arsenic greater than the U.S. Environmental Protection Agency Maximum Contaminant Level of 10 µg/L. <br></p><p>Detectable concentrations of total arsenic were measured in water from wells that ranged in depth from 29 to 400 feet, and that were completed in three aquifers--Lock Haven Formation, Catskill Formation, and unconsolidated glacial sediments; no springs had detectable concentrations of total arsenic. Water samples representing the Lock Haven Formation were collected from 60 wells; water from 12 of these wells had detectable concentrations of total arsenic. Water samples representing the Catskill Formation were collected from 57 wells; water from 4 wells had detectable concentrations of total arsenic. Water samples representing the unconsolidated glacial sediments were collected from 17 wells; 2 wells had water with detectable concentrations of total arsenic. <br></p><p>Contingency tables tested for significant differences in total arsenic between aquifers, topographic settings, and well depths. Concentrations of total arsenic were significantly greater (95-percent confidence level) in the Lock Haven Formation than in the other bedrock units. Concentrations of total arsenic also varied significantly by topographic setting. Wells completed in the Lock Haven Formation and located in valleys had significantly greater concentrations of total arsenic than similar wells located on hilltops or slopes. Concentrations of total arsenic did not vary significantly by topographic setting in the Catskill Formation. Concentrations of total arsenic did not vary significantly by well depth for any aquifer. <br></p><p>Iron staining, hydrogen-sulfide odor, or both were common complaints of well owners. Iron staining was a complaint of 44 well owners. Hydrogen-sulfide odor was a complaint of 35 well owners. Fourteen well owners complained of both iron staining and hydrogen sulfide. No correlation to the presence of arsenic in the wells sampled was found with iron staining, hydrogen-sulfide odor, or both. <br></p><p>Water from 8 of the 10 wells that contained concentrations of total arsenic greater than 10 µg/L were sampled by USGS personnel for the determination of concentrations of dissolved arsenic (minimum reporting level 0.3 µg/L) and arsenic species {arsenite [As (III)], arsenate [As (V)], monomethylarsonate (MMA), and dimethylarsinate (DMA)} at the USGS National Water Quality Laboratory. Analytical results from these samples showed a median concentration of 38.7 µg/L dissolved arsenic in water and a maximum of 178 µg/L. As (III) was the most common arsenic species present in the water for seven of the eight wells and was found in water characteristic of reducing environments [pH 8.2 to 9.1, dissolved oxygen 0.06 to 0.29 milligrams per liter (mg/L), and oxidation reduction potential -63 to -203 millivolts (mv)]. As (V) was the dominant arsenic species in water characteristic of an oxidizing environment (pH 4.8, dissolved oxygen 2.15 mg/L, oxidation reduction potential 265 mv). The arsenic species MMA and DMA were detected in the water from two wells. The arsenic species MMA was detected at an estimated concentration of 0.9 µg/L in water from one well; the concentration was less than 1.2 µg/L in water from seven wells. The arsenic species DMA was detected at concentrations of 1.0 and 1.5 µg/L in water from two wells; the concentration was less than 0.6 µg/L in water from six wells. Both wells that contained detectable concentrations of MMA and DMA produced water that was characteristic of reducing environments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061376","collaboration":"In cooperation with the Pennsylvania Department of Health and the Pennsylvania Department of Environmental Protection","usgsCitation":"Low, D.J., and Galeone, D.G., 2007, Reconnaissance of arsenic concentrations in ground water from bedrock and unconsolidated aquifers in eight northern-tier counties of Pennsylvania: U.S. Geological Survey Open-File Report 2006-1376, iv, 35 p., https://doi.org/10.3133/ofr20061376.","productDescription":"iv, 35 p.","numberOfPages":"39","onlineOnly":"Y","temporalStart":"2005-07-01","temporalEnd":"2006-06-30","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":9232,"rank":100,"type":{"id":15,"text":"Index 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Dennis J. djlow@usgs.gov","contributorId":3450,"corporation":false,"usgs":true,"family":"Low","given":"Dennis","email":"djlow@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galeone, Daniel G. 0000-0002-8007-9278 dgaleone@usgs.gov","orcid":"https://orcid.org/0000-0002-8007-9278","contributorId":2301,"corporation":false,"usgs":true,"family":"Galeone","given":"Daniel","email":"dgaleone@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290352,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70074747,"text":"ofr20071047SRP026 - 2007 - Extensive debris flow deposits on the eastern Wilkes Land margin: a key to changing glacial regimes","interactions":[],"lastModifiedDate":"2014-02-03T13:26:19","indexId":"ofr20071047SRP026","displayToPublicDate":"2007-02-01T13:19:00","publicationYear":"2007","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":"2007-1047-SRP-026","title":"Extensive debris flow deposits on the eastern Wilkes Land margin: a key to changing glacial regimes","docAbstract":"Glacial sequences deposited on the base-of-slope and upper continental rise off the eastern Wilkes\nLand margin show that depositional systems vary with time. During the early Oligocene to middle-late\nMiocene times glacial sequences are dominated by extensive glacigenic debris flow deposits (GDFs) that\nhave lens or wedge shaped external geometries and internal chaotic seismic facies. Minimum runout\ndistances are between 15 and 50 km with lateral extent between 5 and 13 km. Thicknesses vary between 170\nand 380 m. We suggest that large volumes of melt-water production by a dynamic East Antarctic Ice Sheet\n(EAIS) define this glacial regime, which led to high sediment discharge onto the continental shelf and caused\nextensive sediment failures on the continental slope and rise. In contrast, during the Late Miocene-Pliocene\ntransition there was an evolution to a more persistent cold-based EAIS characterized by decrease rates of\nglacial erosion and decrease production of melt-water resulting in mixed turbidite and debris flow deposition.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Antarctica: A Keystone in a Changing World--Online Proceedings for the Tenth International Symposium on Antarctic Earth Sciences. Santa Barbara, California, U.S.A.--August 26 to September 1, 2007","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071047SRP026","usgsCitation":"Escutia, C., Donda, F., Lobo, F., and Tanahashi, M., 2007, Extensive debris flow deposits on the eastern Wilkes Land margin: a key to changing glacial regimes: U.S. Geological Survey Open-File Report 2007-1047-SRP-026, 4 p., https://doi.org/10.3133/ofr20071047SRP026.","productDescription":"4 p.","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":281894,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1047/srp/srp026/of2007-1047srp026.pdf"},{"id":281896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20071047SRP026.JPG"}],"otherGeospatial":"Antarctica","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 180.0,-90.0 ], [ 180.0,-60.0 ], [ -180.0,-60.0 ], [ -180.0,-90.0 ], [ 180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd58dae4b0b290850f85c5","contributors":{"authors":[{"text":"Escutia, C.","contributorId":88514,"corporation":false,"usgs":true,"family":"Escutia","given":"C.","affiliations":[],"preferred":false,"id":489791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donda, F.","contributorId":40792,"corporation":false,"usgs":true,"family":"Donda","given":"F.","email":"","affiliations":[],"preferred":false,"id":489790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lobo, F.J.","contributorId":36848,"corporation":false,"usgs":true,"family":"Lobo","given":"F.J.","email":"","affiliations":[],"preferred":false,"id":489789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tanahashi, M.","contributorId":7174,"corporation":false,"usgs":true,"family":"Tanahashi","given":"M.","affiliations":[],"preferred":false,"id":489788,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189158,"text":"70189158 - 2007 - Model calibration and issues related to validation, sensitivity analysis, post-audit, uncertainty evaluation and assessment of prediction data needs","interactions":[],"lastModifiedDate":"2018-04-02T15:35:06","indexId":"70189158","displayToPublicDate":"2007-01-31T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Model calibration and issues related to validation, sensitivity analysis, post-audit, uncertainty evaluation and assessment of prediction data needs","docAbstract":"<p><span>When simulating natural and engineered groundwater flow and transport systems, one objective is to produce a model that accurately represents important aspects of the true system. However, using direct measurements of system characteristics, such as hydraulic conductivity, to construct a model often produces simulated values that poorly match observations of the system state, such as hydraulic heads, flows and concentrations (for example,&nbsp;</span><span class=\"CitationRef\"><a href=\"https://link.springer.com/chapter/10.1007%2F978-1-4020-5729-8_9#CR10\" data-mce-href=\"https://link.springer.com/chapter/10.1007%2F978-1-4020-5729-8_9#CR10\">Barth et al., 2001</a></span><span>). This occurs because of inaccuracies in the direct measurements and because the measurements commonly characterize system properties at different scales from that of the model aspect to which they are applied. In these circumstances, the conservation of mass equations represented by flow and transport models can be used to test the applicability of the direct measurements, such as by comparing model simulated values to the system state observations. This comparison leads to calibrating the model, by adjusting the model construction and the system properties as represented by model parameter values, so that the model produces simulated values that reasonably match the observations.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Groundwater: Resource Evaluation, Augmentation, Contamination, Restoration, Modeling and Management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English ","publisher":"Springer Netherlands","doi":"10.1007/978-1-4020-5729-8_9","usgsCitation":"Tiedeman, C.R., and Hill, M.C., 2007, Model calibration and issues related to validation, sensitivity analysis, post-audit, uncertainty evaluation and assessment of prediction data needs, chap. <i>of</i> Groundwater: Resource Evaluation, Augmentation, Contamination, Restoration, Modeling and Management, p. 237-282, https://doi.org/10.1007/978-1-4020-5729-8_9.","productDescription":"46 p. ","startPage":"237","endPage":"282","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":343284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595ca915e4b0d1f9f054ca18","contributors":{"authors":[{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":703267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703268,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70171373,"text":"70171373 - 2007 - Growth rates of young-of-year shovelnose sturgeon in the Upper Missouri River","interactions":[],"lastModifiedDate":"2017-08-31T09:30:58","indexId":"70171373","displayToPublicDate":"2007-01-31T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Growth rates of young-of-year shovelnose sturgeon in the Upper Missouri River","docAbstract":"<p><span>Information on growth during the larval and young-of-year life stages in natural river environments is generally lacking for most sturgeon species. In this study, methods for estimating ages and quantifying growth were developed for field-sampled larval and young-of-year shovelnose sturgeon&nbsp;<i>Scaphirhynchus platorynchus</i><span><span>&nbsp;</span>in the upper Missouri River. First, growth was assessed by partitioning samples of young-of-year shovelnose sturgeon into cohorts, and regressing weekly increases in cohort mean length on sampling date. This method quantified relative growth because ages of the cohorts were unknown. Cohort increases in mean length among sampling dates were positively related (P&nbsp;&lt;&nbsp;0.05,<span>&nbsp;</span></span><i>r</i><sup>2</sup><span>&nbsp;&gt;&nbsp;0.59 for all cohorts) to sampling date, and yielded growth rate estimates of 0.80–2.95&nbsp;mm&nbsp;day</span><sup>−1</sup><span><span>&nbsp;</span>(2003) and 0.44–2.28&nbsp;mm&nbsp;day</span><sup>−1</sup><span><span>&nbsp;</span>(2004). Highest growth rates occurred in the largest (and earliest spawned) cohorts. Second, a method was developed to estimate cohort hatch dates, thus age on date of sampling could be determined. This method included quantification of post-hatch length increases as a function of water temperature (growth capacity; mm per thermal unit, mm&nbsp;TU</span><sup>−1</sup><span>), and summation of mean daily water temperatures to achieve the required number of thermal units that corresponded to post-hatch lengths of shovelnose sturgeon on sampling dates. For six of seven cohorts of shovelnose sturgeon analyzed, linear growth models (</span><i>r</i><sup>2</sup><span>&nbsp;≥&nbsp;0.65, P&nbsp;&lt;&nbsp;0.0001) or Gompertz growth models (</span><i>r</i><sup>2</sup><span>&nbsp;≥&nbsp;0.83, P&nbsp;&lt;&nbsp;0.0001) quantified length-at-age from hatch through 55&nbsp;days post-hatch (98–100&nbsp;mm). Comparisons of length-at-age derived from the growth models indicated that length-at-age was greater for the earlier-hatched cohorts than later-hatched cohorts. Estimated hatch dates for different cohorts were corroborated based on the dates that newly-hatched larval shovelnose sturgeon were sampled in the drift. These results provide the first quantification of growth dynamics for field-sampled age-0 shovelnose sturgeon in a natural river environment, and provide an accurate method for estimating age of wild-caught individuals. Methods of age determination used in this study have applications to sturgeons in other regions, but require additional testing and validation.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1439-0426.2006.00821.x","usgsCitation":"Braaten, P., and Fuller, D., 2007, Growth rates of young-of-year shovelnose sturgeon in the Upper Missouri River: Journal of Applied Ichthyology, v. 23, no. 4, p. 506-515, https://doi.org/10.1111/j.1439-0426.2006.00821.x.","productDescription":"10 p.","startPage":"506","endPage":"515","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":476921,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2006.00821.x","text":"Publisher Index Page"},{"id":321844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.03640747070312,\n              48.0165684107673\n            ],\n            [\n              -104.03366088867188,\n              47.97153658265933\n            ],\n            [\n              -103.89907836914062,\n              47.94118687759183\n            ],\n            [\n              -103.72604370117186,\n              48.005543841616216\n            ],\n            [\n              -103.67385864257812,\n              48.085418575511994\n            ],\n            [\n              -103.72467041015625,\n              48.11935075227587\n            ],\n            [\n              -103.75900268554688,\n              48.090922612296744\n            ],\n            [\n              -103.74252319335938,\n              48.057889555610984\n            ],\n            [\n              -103.7933349609375,\n              48.066149807925314\n            ],\n            [\n              -103.81942749023436,\n              48.04411952285125\n            ],\n            [\n              -103.81668090820312,\n              48.00646264573117\n            ],\n            [\n              -103.89083862304688,\n              47.983487632528984\n            ],\n            [\n              -103.96087646484375,\n              47.99727386804474\n            ],\n            [\n              -104.01031494140625,\n              48.001868461482424\n            ],\n            [\n              -104.03640747070312,\n              48.0165684107673\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57496fafe4b07e28b665cc67","contributors":{"authors":[{"text":"Braaten, P. J. pbraaten@usgs.gov","contributorId":2724,"corporation":false,"usgs":true,"family":"Braaten","given":"P. J.","email":"pbraaten@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":630767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, D.B.","contributorId":74116,"corporation":false,"usgs":false,"family":"Fuller","given":"D.B.","email":"","affiliations":[{"id":5099,"text":"Montana Department of Fish, Wildlife, and Parks","active":true,"usgs":false}],"preferred":false,"id":630768,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79606,"text":"fs20073001 - 2007 - Investigating the Environmental Effects of Agriculture Practices on Natural Resources: Scientific Contributions of the U.S. Geological Survey to Enhance the Management of Agricultural Landscapes","interactions":[],"lastModifiedDate":"2012-02-02T00:14:10","indexId":"fs20073001","displayToPublicDate":"2007-01-31T00:00:00","publicationYear":"2007","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":"2007-3001","title":"Investigating the Environmental Effects of Agriculture Practices on Natural Resources: Scientific Contributions of the U.S. Geological Survey to Enhance the Management of Agricultural Landscapes","docAbstract":"The U.S. Geological Survey (USGS) enhances and protects the quality of life in the United States by advancing scientific knowledge to facilitate effective management of hydrologic, biologic, and geologic resources. Results of selected USGS research and monitoring projects in agricultural landscapes are presented in this Fact Sheet. Significant environmental and social issues associated with agricultural production include changes in the hydrologic cycle; introduction of toxic chemicals, nutrients, and pathogens; reduction and alteration of wildlife habitats; and invasive species. Understanding environmental consequences of agricultural production is critical to minimize unintended environmental consequences. The preservation and enhancement of our natural resources can be achieved by measuring the success of improved management practices and by adjusting conservation policies as needed to ensure long-term protection. ","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20073001","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Investigating the Environmental Effects of Agriculture Practices on Natural Resources: Scientific Contributions of the U.S. Geological Survey to Enhance the Management of Agricultural Landscapes (Version 1.0): U.S. Geological Survey Fact Sheet 2007-3001, 6 p., https://doi.org/10.3133/fs20073001.","productDescription":"6 p.","numberOfPages":"6","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":9229,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3001/","linkFileType":{"id":5,"text":"html"}},{"id":125004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3001.jpg"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48b2e4b07f02db530e08","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":534838,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79605,"text":"sir20065138 - 2007 - Ground-Water Quality of the Northern High Plains Aquifer, 1997, 2002-04","interactions":[],"lastModifiedDate":"2012-02-02T00:14:10","indexId":"sir20065138","displayToPublicDate":"2007-01-31T00:00:00","publicationYear":"2007","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":"2006-5138","title":"Ground-Water Quality of the Northern High Plains Aquifer, 1997, 2002-04","docAbstract":"An assessment of ground-water quality in the northern High Plains aquifer was completed during 1997 and 2002-04. Ground-water samples were collected at 192 low-capacity, primarily domestic wells in four major hydrogeologic units of the northern High Plains aquifer-Ogallala Formation, Eastern Nebraska, Sand Hills, and Platte River Valley. Each well was sampled once, and water samples were analyzed for physical properties and concentrations of nitrogen and phosphorus compounds, pesticides and pesticide degradates, dissolved solids, major ions, trace elements, dissolved organic carbon (DOC), radon, and volatile organic compounds (VOCs). Tritium and microbiology were analyzed at selected sites. The results of this assessment were used to determine the current water-quality conditions in this subregion of the High Plains aquifer and to relate ground-water quality to natural and human factors affecting water quality.\r\n\r\nWater-quality analyses indicated that water samples rarely exceeded established U.S. Environmental Protection Agency public drinking-water standards for those constituents sampled; 13 of the constituents measured or analyzed exceeded their respective standards in at least one sample. The constituents that most often failed to meet drinking-water standards were dissolved solids (13 percent of samples exceeded the U.S. Environmental Protection Agency Secondary Drinking-Water Regulation) and arsenic (8 percent of samples exceeded the U.S. Environmental Protection Agency Maximum Contaminant Level). Nitrate, uranium, iron, and manganese concentrations were larger than drinking-water standards in 6 percent of the samples.\r\n\r\nGround-water chemistry varied among hydrogeologic units. Wells sampled in the Platte River Valley and Eastern Nebraska units exceeded water-quality standards more often than the Ogallala Formation and Sand Hills units. Thirty-one percent of the samples collected in the Platte River Valley unit had nitrate concentrations greater than the standard, 22 percent exceeded the manganese standard, 19 percent exceeded the sulfate standard, 26 percent exceeded the uranium standard, and 38 percent exceeded the dissolved-solids standard. In addition, 78 percent of samples had at least one detectable pesticide and 22 percent of samples had at least one detectable VOC. In the Eastern Nebraska unit, 30 percent of the samples collected had dissolved-solids concentrations larger than the standard, 23 percent exceeded the iron standard, 13 percent exceeded the manganese standard, 10 percent exceeded the arsenic standard, 7 percent exceeded the sulfate standard, 7 percent exceeded the uranium standard, and 7 percent exceeded the selenium standard. No samples exceeded the nitrate standard. Thirty percent of samples had at least one detectable pesticide compound and 10 percent of samples had at least one detectable VOC. In contrast, the Sand Hills and Ogallala Formation units had fewer detections of anthropogenic compounds and drinking-water exceedances. In the Sand Hills unit, 15 percent of the samples exceeded the arsenic standard, 4 percent exceeded the nitrate standard, 4 percent exceeded the uranium standard, 4 percent exceeded the iron standard, and 4 percent exceeded the dissolved-solids standard. Fifteen percent of samples had at least one pesticide compound detected and 4 percent had at least one VOC detected. In the Ogallala Formation unit, 6 percent of water samples exceeded the arsenic standard, 4 percent exceeded the dissolved-solids standard, 3 percent exceeded the nitrate standard, 2 percent exceeded the manganese standard, 1 percent exceeded the iron standard, 1 percent exceeded the sulfate standard, and 1 percent exceeded the uranium standard. Eight percent of samples collected in the Ogallala Formation unit had at least one pesticide detected and 6 percent had at least one VOC detected. Differences in ground-water chemistry among the hydrogeologic units were attributed to variable depth to water, depth of the well screen below the water table, reduction-oxidation conditions, ground-water residence time, interactions with surface water, composition of aquifer sediments, extent of cropland, extent of irrigated land, and fertilizer application rates.","language":"ENGLISH","doi":"10.3133/sir20065138","usgsCitation":"Stanton, J.S., and Qi, S.L., 2007, Ground-Water Quality of the Northern High Plains Aquifer, 1997, 2002-04: U.S. Geological Survey Scientific Investigations Report 2006-5138, viii, 60 p.; CD-ROM; data files, https://doi.org/10.3133/sir20065138.","productDescription":"viii, 60 p.; CD-ROM; data files","numberOfPages":"68","additionalOnlineFiles":"Y","temporalStart":"1997-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":192014,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9228,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5138/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d513","contributors":{"authors":[{"text":"Stanton, Jennifer S. 0000-0002-2520-753X jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290345,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79601,"text":"fs20073006 - 2007 - Regional Water-Resources Studies in Nevada","interactions":[],"lastModifiedDate":"2012-03-08T17:16:24","indexId":"fs20073006","displayToPublicDate":"2007-01-30T00:00:00","publicationYear":"2007","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":"2007-3006","title":"Regional Water-Resources Studies in Nevada","docAbstract":"Introduction: Water-resources information for the State of Nevada should be readily accessible to community planners and the general public in a user-friendly web environment and should be actively managed and maintained with accurate historic and current hydrologic data. The USGS, in cooperation with State of Nevada and local government agencies, has established a data framework that provides critical hydrologic information to meet the challenges of water resources planning for Nevada.\r\n\r\n","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20073006","usgsCitation":"Bauer, E.M., and Watermolen, S.C., 2007, Regional Water-Resources Studies in Nevada: U.S. Geological Survey Fact Sheet 2007-3006, 2 p., https://doi.org/10.3133/fs20073006.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":121350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3006.jpg"},{"id":9222,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3006/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629c7f","contributors":{"authors":[{"text":"Bauer, Eva M.","contributorId":60737,"corporation":false,"usgs":true,"family":"Bauer","given":"Eva","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":290337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watermolen, Shannon C. scwaterm@usgs.gov","contributorId":3239,"corporation":false,"usgs":true,"family":"Watermolen","given":"Shannon","email":"scwaterm@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":290336,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79599,"text":"ofr20061368 - 2007 - U.S. Geological Survey Georgia Water Science Center and City of Brunswick–Glynn County Cooperative Water Program— Summary of activities, July 2005 through June 2006","interactions":[],"lastModifiedDate":"2021-09-29T20:47:02.580711","indexId":"ofr20061368","displayToPublicDate":"2007-01-29T00:00:00","publicationYear":"2007","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":"2006-1368","title":"U.S. Geological Survey Georgia Water Science Center and City of Brunswick–Glynn County Cooperative Water Program— Summary of activities, July 2005 through June 2006","docAbstract":"Since 1959, the U.S. Geological Survey has conducted a cooperative water resources program (CWP) with the City of Brunswick and Glynn County in the Brunswick, Georgia, area. Since the late 1950s, the salinity of ground water in the Upper Floridan aquifer near downtown Brunswick, Georgia, has been increasing, and its occurrence has been detected across an area of increasing size. Pumping of the Upper Floridan aquifer near downtown Brunswick has lowered water levels in the aquifer and resulted in an upward hydraulic gradient between the highly saline parts of the Lower Floridan aquifer and the normally fresh Upper Floridan aquifer. Saltwater likely enters the Upper Floridan aquifer through localized, vertically oriented conduits of relatively high permeability and moves laterally in response to the distribution of stresses within the aquifer.\r\n\r\nThe Brunswick-Glynn County CWP for fiscal year 2006 includes the operation and maintenance of 12 continuous water-level recorders. In addition, water-level data were collected from 52 wells and water from 70 wells was analyzed for chloride concentration during June 2005. Geophysical logs were obtained from one well to assess whether the cause of elevated chloride concentration could be due to leaky well casing. A summary of the Georgia Department of Natural Resources, Environmental Protection Division (GaEPD) Georgia Coastal Sound Science Initiative (CSSI) activities that directly benefit the CWP-Brunswick-Glynn County is included in this report. The GaEPD CSSI is a program of scientific and feasibility studies to support development of a final strategy to protect the Upper Floridan aquifer from saltwater contamination. These data presented in this report are needed by State and local authorities to manage water resources effectively in the coastal area of Georgia.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061368","usgsCitation":"Cherry, G.S., 2007, U.S. Geological Survey Georgia Water Science Center and City of Brunswick–Glynn County Cooperative Water Program— Summary of activities, July 2005 through June 2006: U.S. Geological Survey Open-File Report 2006-1368, v, 58 p., https://doi.org/10.3133/ofr20061368.","productDescription":"v, 58 p.","numberOfPages":"70","onlineOnly":"Y","temporalStart":"2005-07-01","temporalEnd":"2006-06-30","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":389994,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_80641.htm"},{"id":192638,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9220,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1368/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","county":"Glynn County","city":"Brunswick","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.551513671875,\n              31.103509440594742\n            ],\n            [\n              -81.42105102539061,\n              31.103509440594742\n            ],\n            [\n              -81.42105102539061,\n              31.22219703210317\n            ],\n            [\n              -81.551513671875,\n              31.22219703210317\n            ],\n            [\n              -81.551513671875,\n              31.103509440594742\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e4e4b07f02db5e60b1","contributors":{"authors":[{"text":"Cherry, Gregory S. 0000-0002-5567-1587 gccherry@usgs.gov","orcid":"https://orcid.org/0000-0002-5567-1587","contributorId":1567,"corporation":false,"usgs":true,"family":"Cherry","given":"Gregory","email":"gccherry@usgs.gov","middleInitial":"S.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290331,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79600,"text":"sir20065316 - 2007 - Geostatistical Modeling of Sediment Abundance in a Heterogeneous Basalt Aquifer at the Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:19","indexId":"sir20065316","displayToPublicDate":"2007-01-29T00:00:00","publicationYear":"2007","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":"2006-5316","title":"Geostatistical Modeling of Sediment Abundance in a Heterogeneous Basalt Aquifer at the Idaho National Laboratory, Idaho","docAbstract":"The spatial distribution of sediment in the eastern Snake River Plain aquifer was evaluated and modeled to improve the parameterization of hydraulic conductivity (K) for a subregional-scale ground-water flow model being developed by the U.S. Geological Survey. The aquifer is hosted within a layered series of permeable basalts within which intercalated beds of fine-grained sediment constitute local confining units. These sediments have K values as much as six orders of magnitude lower than the most permeable basalt, and previous flow-model calibrations have shown that hydraulic conductivity is sensitive to the proportion of intercalated sediment.\r\n\r\nStratigraphic data in the form of sediment thicknesses from 333 boreholes in and around the Idaho National Laboratory were evaluated as grouped subsets of lithologic units (composite units) corresponding to their relative time-stratigraphic position. The results indicate that median sediment abundances of the stratigraphic units below the water table are statistically invariant (stationary) in a spatial sense and provide evidence of stationarity across geologic time, as well. Based on these results, the borehole data were kriged as two-dimensional spatial data sets representing the sediment content of the layers that discretize the ground-water flow model in the uppermost 300 feet of the aquifer.\r\n\r\nMultiple indicator kriging (mIK) was used to model the geographic distribution of median sediment abundance within each layer by defining the local cumulative frequency distribution (CFD) of sediment via indicator variograms defined at multiple thresholds. The mIK approach is superior to ordinary kriging because it provides a statistically best estimate of sediment abundance (the local median) drawn from the distribution of local borehole data, independent of any assumption of normality. A methodology is proposed for delineating and constraining the assignment of hydraulic conductivity zones for parameter estimation, based on the locally estimated CFDs and relative kriging uncertainty. A kriging-based methodology improves the spatial resolution of hydraulic property zones that can be considered during parameter estimation and should improve calibration performance and sensitivity by more accurately reflecting the nuances of sediment distribution within the aquifer.\r\n\r\n","language":"ENGLISH","doi":"10.3133/sir20065316","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Welhan, J.A., Farabaugh, R.L., Merrick, M.J., and Anderson, S.R., 2007, Geostatistical Modeling of Sediment Abundance in a Heterogeneous Basalt Aquifer at the Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2006-5316, vi, 32 p., https://doi.org/10.3133/sir20065316.","productDescription":"vi, 32 p.","numberOfPages":"38","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":192529,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9221,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5316/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b3a0","contributors":{"authors":[{"text":"Welhan, John A.","contributorId":12128,"corporation":false,"usgs":true,"family":"Welhan","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":290333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farabaugh, Renee L.","contributorId":92361,"corporation":false,"usgs":true,"family":"Farabaugh","given":"Renee","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":290335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merrick, Melissa J.","contributorId":80368,"corporation":false,"usgs":true,"family":"Merrick","given":"Melissa","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":290334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Steven R.","contributorId":6532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":290332,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217665,"text":"70217665 - 2007 - First Record of Corisella inscripta (Uhler) (Heteroptera: Corixidae) from North Dakota","interactions":[],"lastModifiedDate":"2021-01-28T00:07:56.50596","indexId":"70217665","displayToPublicDate":"2007-01-27T14:23:25","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3111,"text":"Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"First Record of <i>Corisella inscripta</i> (Uhler) (Heteroptera: Corixidae) from North Dakota","title":"First Record of Corisella inscripta (Uhler) (Heteroptera: Corixidae) from North Dakota","docAbstract":"<p><i>Corisella inscripta</i><span>&nbsp;is a water boatman species that was reported in H. B. Hungerford's (1948) seminal monograph as occurring throughout Mexico and nine western states of the United States. Subsequently, additional records of&nbsp;</span><i>C. inscripta</i><span>&nbsp;have been reported for British Columbia in Canada (Maw et al. 2000) and for Montana (Roemhild 1976), Arkansas (Cochran and Harp 1990), Missouri (Polhemus et al. 1988), Ohio (Chordas and Armitage 1998), and Michigan (Chordas et al. 2002) in the United States. There have been no published records of</span><i><span>&nbsp;</span>C. inscripta</i><span>&nbsp;from North Dakota (Fig. I). We collected one male C. inscripta at the Cottonwood Lake Study Area in western Stutsman County, North Dakota in September 2005 and a second individual there in September 2006.</span></p>","language":"English","publisher":"The Great Plains Natural Science Society","usgsCitation":"Hanson, B.A., Mushet, D.M., Euliss, N., and Chordas, S.W., 2007, First Record of Corisella inscripta (Uhler) (Heteroptera: Corixidae) from North Dakota: Prairie Naturalist, v. 39, no. 2, p. 107-110.","productDescription":"4 p.","startPage":"107","endPage":"110","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":382726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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Dakota\",\"nation\":\"USA  \"}}]}","volume":"39","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hanson, Bruce A.","contributorId":193072,"corporation":false,"usgs":false,"family":"Hanson","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":809198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":809199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, Ned ceuliss@usgs.gov","contributorId":192021,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","email":"ceuliss@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":809200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chordas, Stephen W. III","contributorId":87089,"corporation":false,"usgs":true,"family":"Chordas","given":"Stephen","suffix":"III","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":809201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79597,"text":"ofr20061378 - 2007 - Type region of the Ione Formation (Eocene), central California: Stratigraphy, paleogeography, and relation to auriferous gravels","interactions":[],"lastModifiedDate":"2022-06-29T19:11:23.630294","indexId":"ofr20061378","displayToPublicDate":"2007-01-26T00:00:00","publicationYear":"2007","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":"2006-1378","title":"Type region of the Ione Formation (Eocene), central California: Stratigraphy, paleogeography, and relation to auriferous gravels","docAbstract":"The middle Eocene Ione Formation extends over 200 miles (320 km) along the western edge of the Sierra Nevada. Our study was concentrated in the type region, 30 miles (48 km) along strike. There a bedrock ridge forms the seaward western side of the Ione depositional tract, defining a subbasin margin. The eastern limit of the type Ione is locally defined by high-angle faults. \r\n\r\nIone sediments were spread over Upper Mesozoic metamorphic and plutonic bedrock, fed by gold-bearing streams dissecting the western slope of the ancestral Sierra Nevada. By middle Eocene time, a tropical or subtropical climate prevailed, leading to deep chemical weathering (including laterization) and a distinctively mature mineral assemblage was fed to and generated within Ione deposits. The Ione is noted for its abundant kaolinitic clay, some of it coarsely crystalline; the clay is present as both detrital grains and authigenic cement. Quartz is abundant, mostly as angular grains. Heavy mineral fractions are dominated by altered ilmenite and zircon. Distribution of feldspar is irregular, both stratigraphically and areally. \r\n\r\nNon-marine facies are most voluminous, and include conglomerates, especially at the base and along the eastern margins of the formation where they pass into Sierran auriferous gravels. Clays, grading into lignites, and gritty sands are also common facies. Both braided and meandering fluvial facies have been recognized. \r\n\r\nShallow marine waters flooded the basin probably twice. Tongues of sediment exhibiting a variety of estuarine to marine indicators are underlain and overlain by fluvial deposits. Marine body fossils are found at only a few localities, but burrows identified as Ophiomorpha and cf. Thalassinoides are abundant in many places. Other clues to marginal marine deposition are the occurrence of glauconite in one bed, typical relations of lagoonal to beach (locally heavy-mineral-rich) lithofacies, closed-basin three-dimensional morphology of basinal facies, and high sulfur content of some marginal coals. \r\n\r\nThe Ione has been said to be deltaic; however the two transgressional-regressional cycles we propose imply that only the regressional parts were deltaic. At other times, much of the type Ione would better be termed an intertidal estuary. Because the lower marine sequence was deposited against a paleobasin margin on the west, deltaic morphology was constrained, but apparently progradation was from north to south despite drainage into the basin from the east. Relations to the south are unclear due to the Stockton arch. The eastern margin of the type-Ione basin, and to some extent even its marine facies, are poorly constrained. A surface on Sierran bedrock to the east may have been stripped of some Ione basinal facies, leaving only coeval entrenched fluvial channel deposits.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061378","usgsCitation":"Creely, S., and Force, E.R., 2007, Type region of the Ione Formation (Eocene), central California: Stratigraphy, paleogeography, and relation to auriferous gravels (Version 1.0): U.S. Geological Survey Open-File Report 2006-1378, 65 p., https://doi.org/10.3133/ofr20061378.","productDescription":"65 p.","numberOfPages":"65","costCenters":[{"id":658,"text":"Western Mineral Resources","active":false,"usgs":true}],"links":[{"id":191981,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402711,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_80590.htm","linkFileType":{"id":5,"text":"html"}},{"id":9218,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1378/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.1494,\n              38.1917\n            ],\n            [\n              -120.8281,\n              38.1917\n            ],\n            [\n              -120.8281,\n              38.6033\n            ],\n            [\n              -121.1494,\n              38.6033\n            ],\n            [\n              -121.1494,\n              38.1917\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a48e4b07f02db6234a9","contributors":{"authors":[{"text":"Creely, Scott","contributorId":16044,"corporation":false,"usgs":true,"family":"Creely","given":"Scott","email":"","affiliations":[],"preferred":false,"id":290325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Force, Eric R.","contributorId":32916,"corporation":false,"usgs":true,"family":"Force","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":290326,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70068817,"text":"ofr20071047SRP010 - 2007 - Holocene oceanographic and climatic variability of the Vega Drift deduced through foraminiferal interpretation","interactions":[],"lastModifiedDate":"2014-01-13T13:42:59","indexId":"ofr20071047SRP010","displayToPublicDate":"2007-01-23T13:34:00","publicationYear":"2007","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":"2007-1047-SRP-010","title":"Holocene oceanographic and climatic variability of the Vega Drift deduced through foraminiferal interpretation","docAbstract":"A sediment sequence recovered from the Vega Drift, Antarctica was analyzed for benthic foraminifera to \ndetermine Holocene oceanographic and climatic variability of the northern Antarctic Peninsula margin. Core \nNBP0003-JPC38, collected during cruise 00-03 of the R.V. Nathaniel B. Palmer recovered 20.53 meters of Holocene \nglacio-marine sediments. Samples were collected every 4 cm for foraminiferal analyses. The data were analyzed using \nprincipal component and cluster analyses. Results of these analyses show significant stratigraphic changes in the \nbenthic foraminiferal record of the Vega Drift. \nThree assemblages characterize the core, including the Miliammina arenacea, Textulariawiesneri, and Stainforthia\nfusiformis assemblages. Most agglutinated forms tend to decrease downcore, and comparisons to modern analogues \nimply post-depositional disintegration, while calcareous taxa indicate non-corrosive bottom waters. The lower to \nmiddle Holocene Vega Drift sediments are characterized by the calcareous S. fusiformis assemblage and glacial plume \nsediments. This assemblage is characterized by calcareous forms including Globocassidulina biora, G. subglobosa, and \nNonionella iridea. The planktic species Neogloboquadrina pachyderma is associated with the S. fusiformis assemblage. \nThe S. fusiformis assemblage is faunally similar to assemblages described in fjords of the western Antarctic Peninsula \nand indicates non-corrosive bottom water. Sediments of the mid to upper Holocene interval are characterized by the T. \nwiesneri and M. arenacea assemblages and indicate the presence of Hyper Saline Shelf Water. These assemblages are \nsimilar to modern assemblages directly to the south in the Prince Gustav Channel. The upper Holocene is marked by \nseveral small intervals with taxonomic characteristics similar to the S. fusiformis assemblage, indicating periodic \nintroduction of non-corrosive bottom water to the Vega Drift","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Antarctica: A Keystone in a Changing World--Online Proceedings for the Tenth International Symposium on Antarctic Earth Sciences. Santa Barbara, California, U.S.A.--August 26 to September 1, 2007","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071047SRP010","usgsCitation":"Szymcek, P., Ishman, S.E., Domack, E.W., and Leventer, A., 2007, Holocene oceanographic and climatic variability of the Vega Drift deduced through foraminiferal interpretation: U.S. Geological Survey Open-File Report 2007-1047-SRP-010, Text: 4 p.; Plate: 36 p., https://doi.org/10.3133/ofr20071047SRP010.","productDescription":"Text: 4 p.; Plate: 36 p.","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":280898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20071047SRP010.JPG"},{"id":280896,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1047/srp/srp010/of2007-1047srp010_text.pdf"},{"id":280897,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2007/1047/srp/srp010/of2007-1047srp010_plate1.pdf"}],"otherGeospatial":"Antarctica","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,-60.0 ], [ 180.0,-60.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd60b2e4b0b290850fd180","contributors":{"authors":[{"text":"Szymcek, Phillip","contributorId":53693,"corporation":false,"usgs":true,"family":"Szymcek","given":"Phillip","email":"","affiliations":[],"preferred":false,"id":488147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ishman, Scott E.","contributorId":102468,"corporation":false,"usgs":true,"family":"Ishman","given":"Scott","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":488149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domack, Eugene W.","contributorId":27783,"corporation":false,"usgs":true,"family":"Domack","given":"Eugene","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":488146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leventer, Amy","contributorId":80580,"corporation":false,"usgs":true,"family":"Leventer","given":"Amy","email":"","affiliations":[],"preferred":false,"id":488148,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79587,"text":"ofr20061390 - 2007 - Geologic Characterization of Young Alluvial Basin-Fill Deposits from Drill Hole Data in Yucca Flat, Nye County, Nevada","interactions":[{"subject":{"id":79587,"text":"ofr20061390 - 2007 - Geologic Characterization of Young Alluvial Basin-Fill Deposits from Drill Hole Data in Yucca Flat, Nye County, Nevada","indexId":"ofr20061390","publicationYear":"2007","noYear":false,"title":"Geologic Characterization of Young Alluvial Basin-Fill Deposits from Drill Hole Data in Yucca Flat, Nye County, Nevada"},"predicate":"SUPERSEDED_BY","object":{"id":80141,"text":"sir20075062 - 2007 - Geologic Characterization of Young Alluvial Basin-Fill Deposits from Drill-Hole Data in Yucca Flat, Nye County, Nevada","indexId":"sir20075062","publicationYear":"2007","noYear":false,"title":"Geologic Characterization of Young Alluvial Basin-Fill Deposits from Drill-Hole Data in Yucca Flat, Nye County, Nevada"},"id":1}],"supersededBy":{"id":80141,"text":"sir20075062 - 2007 - Geologic Characterization of Young Alluvial Basin-Fill Deposits from Drill-Hole Data in Yucca Flat, Nye County, Nevada","indexId":"sir20075062","publicationYear":"2007","noYear":false,"title":"Geologic Characterization of Young Alluvial Basin-Fill Deposits from Drill-Hole Data in Yucca Flat, Nye County, Nevada"},"lastModifiedDate":"2012-02-02T00:14:12","indexId":"ofr20061390","displayToPublicDate":"2007-01-20T00:00:00","publicationYear":"2007","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":"2006-1390","title":"Geologic Characterization of Young Alluvial Basin-Fill Deposits from Drill Hole Data in Yucca Flat, Nye County, Nevada","docAbstract":"Yucca Flat is a topographic and structural basin in the northeastern part of the Nevada Test Site (NTS) in Nye County, Nevada, that has been the site of numerous underground nuclear tests; many of these tests occurred within the young alluvial basin-fill deposits. The migration of radionuclides to the Paleozoic carbonate aquifer involves passage through this thick, heterogeneous section of Tertiary and Quaternary rock. An understanding of the lateral and vertical changes in the material properties of young alluvial basin-fill deposits will aid in the further development of the hydrogeologic framework and the delineation of hydrostratigraphic units and hydraulic properties required for simulating ground-water flow in the Yucca Flat area. This report by the U.S. Geological Survey, in cooperation with the U.S. Department of Energy, presents data and interpretation regarding the three-dimensional variability of the shallow alluvial aquifers in areas of testing at Yucca Flat, data that are potentially useful in the understanding of the subsurface flow system. This report includes a summary and interpretation of alluvial basin-fill stratigraphy in the Yucca Flat area based on drill hole data from 285 selected drill holes. Spatial variations in lithology and grain size of the Neogene basin-fill sediments can be established when data from numerous drill holes are considered together. Lithologic variations are related to different depositional environments within the basin including alluvial fan, channel, basin axis, and playa deposits.\r\n","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20061390","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office under Interagency Agreement DE-AI52-01NV13944","usgsCitation":"Sweetkind, D., and Drake, R.M., 2007, Geologic Characterization of Young Alluvial Basin-Fill Deposits from Drill Hole Data in Yucca Flat, Nye County, Nevada (Superseded by SIR 2007-5062): U.S. Geological Survey Open-File Report 2006-1390, iv, 17 p., https://doi.org/10.3133/ofr20061390.","productDescription":"iv, 17 p.","numberOfPages":"21","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190899,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9206,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1390/","linkFileType":{"id":5,"text":"html"}}],"edition":"Superseded by SIR 2007-5062","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a870d","contributors":{"authors":[{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":290303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, Ronald M. II 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":1353,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald","suffix":"II","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":290302,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79578,"text":"gip41 - 2007 - Protecting Your Family From Earthquakes-The Seven Steps to Earthquake Safety (in Spanish and English)","interactions":[],"lastModifiedDate":"2019-07-10T14:45:32","indexId":"gip41","displayToPublicDate":"2007-01-19T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"41","title":"Protecting Your Family From Earthquakes-The Seven Steps to Earthquake Safety (in Spanish and English)","docAbstract":"This book is provided here to share an important message on emergency preparedness. Historically, we have suffered earthquakes here in the San Francisco Bay Area that have caused severe hardship for residents and incredible damage to our cities. It is likely we will experience a severe earthquake within the next 30 years. \r\n\r\nMany of us come from other countries where we have experienced earth- quakes, so we believe that we understand them. However, the way we prepare for earthquakes in our home country may be different from the way it is necessary to prepare for earthquakes here. \r\n\r\nVery f w people die from collapsing buildings in the Bay Area because most structures are built to stand up to the shaking. But it is quite possible that your family will be without medical care or grocery stores and separated from one another for several days to weeks. It will ultimately be up to you to keep your family safe until help arrives, so we are asking you to join us in learning to take care of your family before, during, and after an earthquake. \r\n\r\nThe first step is to read this book. Everyone in your family, children and adults, can learn how to prepare for an earthquake. Then take advantage of the American Red Cross Earthquake Preparedness training courses offered in your community. These preparedness courses are free, and also offered in Spanish and available to everyone in the community regardless of family history, leg al status, gender, or age. We encourage you to take one of these free training workshops. Look on the back cover for more information. \r\n\r\nRemember that an earthquake can occur without warning, and the only way that we can reduce the harm caused by earthquakes is to be prepared. Get Prepared! \r\n\r\n","language":"English, Spanish","publisher":"U.S. Geological Survey","doi":"10.3133/gip41","usgsCitation":"American Red Cross, Asian Pacific Fund, California Earthquake Authority, Governor’s Office of Emergency Services, New America Media, U.S. Department of Homeland Security Federal Emergency Management Agency, and Water Resources Division, U.S. Geological Survey, 2007, Protecting Your Family From Earthquakes-The Seven Steps to Earthquake Safety (in Spanish and English) (Version 1.0): U.S. Geological Survey General Information Product 41, 24 p., https://doi.org/10.3133/gip41.","productDescription":"24 p.","numberOfPages":"24","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":649,"text":"Western Earthquake Hazards Program","active":false,"usgs":true}],"links":[{"id":124951,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_41.jpg"},{"id":9197,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/2007/41/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a91e4b07f02db656d0f","contributors":{"authors":[{"text":"American Red Cross","contributorId":206874,"corporation":true,"usgs":false,"organization":"American Red Cross","id":290275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asian Pacific Fund","contributorId":206875,"corporation":true,"usgs":false,"organization":"Asian Pacific Fund","id":742004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"California Earthquake Authority","contributorId":206876,"corporation":true,"usgs":false,"organization":"California Earthquake Authority","id":742005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Governor’s Office of Emergency Services","contributorId":206877,"corporation":true,"usgs":false,"organization":"Governor’s Office of Emergency Services","id":742006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"New America Media","contributorId":206878,"corporation":true,"usgs":false,"organization":"New America Media","id":742007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"U.S. Department of Homeland Security Federal Emergency Management Agency","contributorId":206879,"corporation":true,"usgs":false,"organization":"U.S. Department of Homeland Security Federal Emergency Management Agency","id":742008,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":742009,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":79576,"text":"fs20063147 - 2007 - Harmful algal blooms","interactions":[],"lastModifiedDate":"2020-03-18T06:45:21","indexId":"fs20063147","displayToPublicDate":"2007-01-19T00:00:00","publicationYear":"2007","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":"2006-3147","displayTitle":"Harmful Algal Blooms","title":"Harmful algal blooms","docAbstract":"What are Harmful Algal Blooms (HABs)?\r\nFreshwater and marine harmful algal blooms (HABs) can occur anytime water use is impaired due to excessive accumulations of algae. HAB occurrence is affected by a complex set of physical, chemical, biological, hydrological, and meteorological conditions making it difficult to isolate specific causative environmental factors. Potential impairments include reduction in water quality, accumulation of malodorous scums in beach areas, algal production of toxins potent enough to poison both aquatic and terrestrial organisms, and algal production of taste-and-odor compounds that cause unpalatable drinking water and fish. HABs are a global problem, and toxic freshwater and (or) marine algae have been implicated in human and animal illness and death in over 45 countries worldwide and in at least 27 U.S. States (Yoo and others, 1995; Chorus and Bartram, 1999; Huisman and others, 2005).\r\n\r\n","language":"English","publisher":"U.S. Geological Society","doi":"10.3133/fs20063147","usgsCitation":"Graham, J.L., 2007, Harmful algal blooms: U.S. Geological Survey Fact Sheet 2006-3147, 2 p., https://doi.org/10.3133/fs20063147.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":120843,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2006_3147.jpg"},{"id":9195,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2006/3147/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,5.555555555555556E-4 ], [ -0.01611111111111111,0.001388888888888889 ], [ -65,0.001388888888888889 ], [ -65,5.555555555555556E-4 ], [ -0.01611111111111111,5.555555555555556E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db698617","contributors":{"authors":[{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290273,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}