{"pageNumber":"706","pageRowStart":"17625","pageSize":"25","recordCount":46666,"records":[{"id":9000583,"text":"ds565 - 2010 - EAARL coastal topography and imagery-Fire Island National Seashore, New York, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ds565","displayToPublicDate":"2011-02-07T00:00:00","publicationYear":"2010","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":"565","title":"EAARL coastal topography and imagery-Fire Island National Seashore, New York, 2009","docAbstract":"These remotely sensed, geographically referenced color-infrared (CIR) imagery and elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the Fire Island National Seashore in New York, acquired on July 9 and August 3, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral CIR camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument was deployed on a Pilatus PC-6. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. For more information about similar projects, please visit the Decision Support for Coastal Science and Management website.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds565","usgsCitation":"Vivekanandan, S., Klipp, E., Nayegandhi, A., Bonisteel-Cormier, J., Brock, J.C., Wright, C.W., Nagle, D., Fredericks, X., and Stevens, S., 2010, EAARL coastal topography and imagery-Fire Island National Seashore, New York, 2009: U.S. Geological Survey Data Series 565, HTML Page; 1 DVD, https://doi.org/10.3133/ds565.","productDescription":"HTML Page; 1 DVD","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126200,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_565.bmp"},{"id":19204,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/565/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.3,40.583333333333336 ], [ -73.3,40.833333333333336 ], [ -72.75,40.833333333333336 ], [ -72.75,40.583333333333336 ], [ -73.3,40.583333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c34d","contributors":{"authors":[{"text":"Vivekanandan, Saisudha","contributorId":84325,"corporation":false,"usgs":true,"family":"Vivekanandan","given":"Saisudha","email":"","affiliations":[],"preferred":false,"id":344320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klipp, E.S.","contributorId":100340,"corporation":false,"usgs":true,"family":"Klipp","given":"E.S.","affiliations":[],"preferred":false,"id":344321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, J. C.","contributorId":36095,"corporation":false,"usgs":true,"family":"Brock","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":344316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":344319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":344318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":344315,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":344322,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":9000586,"text":"ds566 - 2010 - Remotely sensed imagery revealing the effects of hurricanes Gustav and Ike on coastal Louisiana","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ds566","displayToPublicDate":"2011-02-07T00:00:00","publicationYear":"2010","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":"566","title":"Remotely sensed imagery revealing the effects of hurricanes Gustav and Ike on coastal Louisiana","docAbstract":"Hurricane Gustav, a category 2 storm with 170 kilometers per hour (km/h) winds, approached the Louisiana coast from the south-southeast, making landfall near Cocodrie, La., on September 1, 2008 (Beven and Kimberlain, 2009); Hurricane Ike, a category 2 storm with 175 km/h winds, approached the Texas coast from the southeast, paralleling offshore of the Louisiana coast, before making landfall along the north end of Galveston Island, Tex., on September 13, 2008 (Berg, 2009). Hurricane Ike's large wind field elevated water levels, increasing coastal flooding well before making landfall (Berg, 2009). An initial land area change assessment, based on comparison of Landsat Thematic Mapper (TM) satellite imagery, acquired before 2006 and after the 2008 landfalls of Hurricanes Gustav and Ike and classified to identify land and water, reported that the water area increased by 323 square kilometers (km2) in coastal Louisiana as a result of the storms (Barras, 2009). The land area decrease of 195 km2 was less than the 513 km2 decrease reported between 2004 and 2006 (Barras and others, 2008) after the landfalls of Hurricane Katrina, a strong category 3 storm that made landfall near Buras, La., on August 29, 2005, and Hurricane Rita, a category 3 storm that made landfall just west of Johnsons Bayou, La., on September 29, 2005. The 2004 to 2006 land area decrease is 49 km2 less than the 562 km2 initial change estimate based on satellite imagery obtained two months after the 2005 storms (Barras, 2007a). The comparison area used to identify the 2004 to 2006 land area change matches the extent of historical land and water data used to quantify coastal land loss from 1956 to 2006 (Barras and others, 2008) and is 3,841 km2 less than the 33,457.7 km2 used for Barras (2006) and Barras (2009). The greater comparison area used for the 2006 to 2008 period (Barras, 2009) resulted in a 2004 to 2006 loss estimate of 525.8 km2, 13.0 km2 greater than the 512.8 km2 estimate reported in Barras (2008).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds566","usgsCitation":"Barras, J., Brock, J., Morton, R., and Travers, L.J., 2010, Remotely sensed imagery revealing the effects of hurricanes Gustav and Ike on coastal Louisiana: U.S. Geological Survey Data Series 566, HTML Page; CD-ROM, https://doi.org/10.3133/ds566.","productDescription":"HTML Page; CD-ROM","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126205,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_566.bmp"},{"id":19207,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/566/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.5,28 ], [ -94.5,31 ], [ -88.75,31 ], [ -88.75,28 ], [ -94.5,28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4f1b","contributors":{"authors":[{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":344335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":344334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Robert A.","contributorId":88333,"corporation":false,"usgs":true,"family":"Morton","given":"Robert A.","affiliations":[],"preferred":false,"id":344337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Travers, Laurinda J. ltravers@usgs.gov","contributorId":3002,"corporation":false,"usgs":true,"family":"Travers","given":"Laurinda","email":"ltravers@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":344336,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":9000585,"text":"ofr20101021 - 2010 - Microbial and geochemical investigations of dissolved organic carbon and microbial ecology of native waters from the Biscayne and Upper Floridan Aquifers","interactions":[],"lastModifiedDate":"2019-08-08T11:01:13","indexId":"ofr20101021","displayToPublicDate":"2011-02-07T00:00:00","publicationYear":"2010","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":"2010-1021","title":"Microbial and geochemical investigations of dissolved organic carbon and microbial ecology of native waters from the Biscayne and Upper Floridan Aquifers","docAbstract":"Groundwater resources in the United States are under ever-increasing demands for potable, irrigation, and recreational uses. Additionally, aquifer systems are being used or targeted for use as storage areas for treated surface waters and (or) groundwaters via injection (for example, aquifer storage and recovery). To date, the influence that the nutrients, including carbon, in the injected water have on native microbial communities and the biogeochemistry in the subsurface zones used for storage of the injectate has not been determined. In this report, we describe a series of experiments that establishes a baseline dataset for the quantity and quality of organic and inorganic carbon and nutrients in the Biscayne Aquifer (BA) and Upper Floridan Aquifer (UFA) in south Florida. The most significant differences between the BA (26 meters below surface) and UFA (366 meters below surface) are the average specific conductance (0.552 and 6.12 microsiemens per centimeter, respectively), dissolved oxygen (1.6 and 0 milligrams per liter, respectively), and oxidation-reduction potential (40.3 and -358 millivolts, respectively). The dissolved organic carbon from the BA is characterized by carbon originating from terrestrial sources and microbial activities, while the UFA has a distinctive microbial signature. Acetate and lactate are the dominant carbon constituents in both aquifers. Additionally, components of the dissolved organic carbon from the UFA have a total trihalomethane-formation potential that is approximately threefold greater than the maximum contaminat level of 80 micrograms per liter established by the U.S. Environmental Protection Agency. The average native bacterial abundances in the aquifers are similar with 4.69x10^4 cells per milliliter in the BA and 1.33x10^4 cells per milliliter in the UFA. The average bacteriophage abundances are also similar with 1.15x10^5 virus-like particles in the BA and 1.92x10^5 virus-like particles in the UFA. Interestingly, ciliated protozoa are present in both aquifers. The average abundance of ciliates in the BA (2.97x10^3 ciliates per milliliter) is approximately twentyfold greater than abundances in the UFA (1.39x10^2 ciliates per milliliter). Collectively, these data indicate that microbial processes are the dominant contributor to the cycling of carbon and inorganic carbon in the BA and may be the only carbon cycling process in the UFA, as this aquifer has not had a terrestrial influx of carbon for more than 15,000 years. The rates of carbon, in the form of acetate, utilization by the native microbial communities are significantly different between the two aquifers. Based on data from 14C-acetate-utilization experiments, the microbial communities in the BA turn over the native acetate in 2.5 years, whereas communities in the UFA turn over native acetate in 6.8 years. These data support the hypothesis derived from the microbial-abundance data, in that the carbon for bacterial maintainence and growth is recycled from bacterial biomass released during cell lysis, especially in the UFA. An in situ diffusion chamber was designed to retain bacterial cells within the chamber while allowing native water constituents to move through the chamber. A series of 1-week deployments of chambers filled with fluorescent beads, inactivated native bacteria and laboratory grown and viable bacteria into the UFA, permitted by the State of Florida Environmental Protection Agency, was successfully completed. This was the first time this type of deployment into an aquifer system that is used for potable water supply has been permitted within the United States. This technology will allow, for the first time, in situ studies on the survival of microbial indicators of fecal pollution and true pathogens in groundwater systems.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101021","usgsCitation":"Lisle, J.T., Harvey, R.W., Aiken, G.R., and Metge, D.W., 2010, Microbial and geochemical investigations of dissolved organic carbon and microbial ecology of native waters from the Biscayne and Upper Floridan Aquifers: U.S. Geological Survey Open-File Report 2010-1021, vii, 33 p., https://doi.org/10.3133/ofr20101021.","productDescription":"vii, 33 p.","additionalOnlineFiles":"N","costCenters":[{"id":278,"text":"Florida Integrated Science Center-Ft. Lauderdale","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":126212,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1021.bmp"},{"id":19206,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1021/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","county":"Dade","city":"Miami","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a57e4b07f02db62df2a","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Ron W.","contributorId":100885,"corporation":false,"usgs":true,"family":"Harvey","given":"Ron","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":344333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":344330,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":9000584,"text":"ds564 - 2010 - EAARL coastal topography-Cape Hatteras National Seashore, North Carolina, post-Nor'Ida, 2009: first surface","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ds564","displayToPublicDate":"2011-02-07T00:00:00","publicationYear":"2010","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":"564","title":"EAARL coastal topography-Cape Hatteras National Seashore, North Carolina, post-Nor'Ida, 2009: first surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the National Park Service Southeast Coast Network's Cape Hatteras National Seashore in North Carolina, acquired post-Nor'Ida (November 2009 nor'easter) on November 27 and 29 and December 1, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color-infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine aircraft, but the instrument was deployed on a Pilatus PC-6. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. For more information about similar projects, please visit the Decision Support for Coastal Science and Management website.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds564","usgsCitation":"Bonisteel-Cormier, J., Nayegandhi, A., Brock, J.C., Wright, C.W., Nagle, D., Fredericks, X., and Stevens, S., 2010, EAARL coastal topography-Cape Hatteras National Seashore, North Carolina, post-Nor'Ida, 2009: first surface: U.S. Geological Survey Data Series 564, HTML Page; DVD, https://doi.org/10.3133/ds564.","productDescription":"HTML Page; DVD","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126204,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_564.bmp"},{"id":19205,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/564/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,34.06666666666667 ], [ -76,36 ], [ -75.46666666666667,36 ], [ -75.46666666666667,34.06666666666667 ], [ -76,34.06666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c334","contributors":{"authors":[{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, J. C.","contributorId":36095,"corporation":false,"usgs":true,"family":"Brock","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":344325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":344328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":344327,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":344324,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":344329,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":99027,"text":"sir20105139 - 2010 - Trends in pesticide concentrations in urban streams in the United States, 1992-2008","interactions":[],"lastModifiedDate":"2017-10-14T11:47:15","indexId":"sir20105139","displayToPublicDate":"2011-02-05T00:00:00","publicationYear":"2010","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":"2010-5139","title":"Trends in pesticide concentrations in urban streams in the United States, 1992-2008","docAbstract":"Pesticide concentration trends in streams dominated by urban land use were assessed using data from 27 urban streams sampled as part of the U.S. Geological Survey National Water-Quality Assessment Program. The sites were divided into four regions, Northeast, South, Midwest, and West, to examine possible regional patterns. Three partially overlapping 9-year periods (1992-2000, 1996-2004, and 2000-2008) were examined for eight herbicides and one degradation product (simazine, prometon, atrazine, deethylatrazine, metolachlor, trifluralin, pendimethalin, tebuthiuron, and Dacthal), and five insecticides and two degradation products (chlorpyrifos, malathion, diazinon, fipronil, fipronil sulfide, desulfinylfipronil, and carbaryl). The data were analyzed for trends in concentration using a parametric regression model with seasonality, flow-related variability, and trend, called SEAWAVE-Q. The SEAWAVE-Q model also was used to generate estimated daily concentration percentiles for each analysis period to provide a summary of concentration magnitudes.\r\n\r\nFor herbicides, the largest 90th percentiles of estimated concentrations for simazine were in the South, prometon at some sites in all of the regions, atrazine and deethylatrazine in the South and Midwest, metolachlor in the Midwest and a few sites in the South, pendimethalin at scattered sites in all of the regions, and tebuthiuron in the South and a few sites in the Midwest and West. For insecticides, the largest 90th percentiles of estimated concentrations for diazinon and carbaryl were distributed among various sites in all regions (especially during 1996-2004), and fipronil at isolated sites in all of the regions during 2000-2008.\r\n\r\nTrend analysis results for the herbicides indicated many significant trends, both upward and downward, with varying patterns depending on period, region, and herbicide. Overall, deethylatrazine showed the most consistent pattern of upward trends, especially in the Northeast (2000-2008), South (1996-2004 and 2000-2008), and Midwest (1996-2004 and 2000-2008). Other herbicides showed less consistent upward trends, including simazine in the South (1996-2004), prometon in the Midwest (2000-2008), and atrazine in the South (1996-2004). The most consistent downward trends were for simazine in the Northeast and Midwest (1996-2004), prometon in the Northeast and Midwest (1996-2004) and West (1996-2004 and 2000-2008), and tebuthiuron in the South (1996-2004 and 2000-2008) and West (2000-2008).\r\n\r\nStrong similarity existed between the trends for atrazine and deethylatrazine during 1996-2004. During 2000-2008, however, there were mixed upward and downward trends in atrazine and predominantly upward trends in deethylatrazine. Ten sites with a downward trend in atrazine were paired with an upward trend in deethylatrazine and for three of these sites (1 in the South and 2 in the Midwest) both opposing trends were significant. Opposing trends showing a decrease in atrazine and an increase in deethylatrazine may indicate that decreases in atrazine from surface runoff are being offset in some cases by increases in deethylatrazine from groundwater for the latter analysis period.\r\n\r\nTrend results for insecticides indicated widespread significant downward trends for chlorpyrifos (especially 1996-2004), diazinon (1996-2004 and 2000-2008), and malathion (especially 1996-2004); widespread significant upward trends for fipronil and its degradation products (2000-2008); and mostly nonsignificant trends for carbaryl (1996-2004 and 2000-2008). The downward trends for chlorpyrifos and diazinon were consistent with the regulatory phaseout of residential uses of these insecticides and the upward trends for fipronil and its degradation products were consistent with its introduction in 1996 and subsequent increasing use as a possible substitute for chlorpyrifos and diazinon. The downward trends in malathion may be caused by voluntary substitution of pyrethroids or fipronil for malathio","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105139","usgsCitation":"Ryberg, K.R., Vecchia, A.V., Martin, J.D., and Gilliom, R.J., 2010, Trends in pesticide concentrations in urban streams in the United States, 1992-2008: U.S. Geological Survey Scientific Investigations Report 2010-5139, viii, 42 p., https://doi.org/10.3133/sir20105139.","productDescription":"viii, 42 p.","additionalOnlineFiles":"Y","temporalStart":"1992-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":126227,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5139.jpg"},{"id":14467,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5139/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","publicComments":"National Water-Quality Assessment Program","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ce4b07f02db6264fe","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":307314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Jeffrey D. 0000-0003-1994-5285 jdmartin@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-5285","contributorId":1066,"corporation":false,"usgs":true,"family":"Martin","given":"Jeffrey","email":"jdmartin@usgs.gov","middleInitial":"D.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":307312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":307311,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":9000577,"text":"ds560 - 2010 - EAARL Coastal Topography-Eastern Louisiana Barrier Islands, Post-Hurricane Gustav, 2008: First Surface","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ds560","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"560","title":"EAARL Coastal Topography-Eastern Louisiana Barrier Islands, Post-Hurricane Gustav, 2008: First Surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA. This project provides highly detailed and accurate datasets of a portion of the eastern Louisiana barrier islands, acquired post-Hurricane Gustav (September 2008 hurricane) on September 6 and 7, 2008. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. For more information about similar projects, please visit the Decision Support for Coastal Science and Management website.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds560","usgsCitation":"Bonisteel-Cormier, J., Nayegandhi, A., Wright, C.W., Sallenger, A., Brock, J.C., Nagle, D., Vivekanandan, S., and Fredericks, X., 2010, EAARL Coastal Topography-Eastern Louisiana Barrier Islands, Post-Hurricane Gustav, 2008: First Surface: U.S. Geological Survey Data Series 560, 1 DVD; HTML Page; Home; Purpose; Metadata; Collaborators; Acronyms, https://doi.org/10.3133/ds560.","productDescription":"1 DVD; HTML Page; Home; Purpose; Metadata; Collaborators; Acronyms","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126218,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_560.jpg"},{"id":19199,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/560/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.93333333333334,29.166666666666668 ], [ -90.93333333333334,29.333333333333332 ], [ -89.43333333333334,29.333333333333332 ], [ -89.43333333333334,29.166666666666668 ], [ -90.93333333333334,29.166666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62efbf","contributors":{"authors":[{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. 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C.","contributorId":36095,"corporation":false,"usgs":true,"family":"Brock","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":344278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":344280,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vivekanandan, Saisudha","contributorId":84325,"corporation":false,"usgs":true,"family":"Vivekanandan","given":"Saisudha","email":"","affiliations":[],"preferred":false,"id":344283,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":344277,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":9000576,"text":"ds559 - 2010 - EAARL Coastal Topography and Imagery-Assateague Island National Seashore, Maryland and Virginia, Post-Nor'Ida, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:08","indexId":"ds559","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"559","title":"EAARL Coastal Topography and Imagery-Assateague Island National Seashore, Maryland and Virginia, Post-Nor'Ida, 2009","docAbstract":"These remotely sensed, geographically referenced color-infrared (CIR) imagery and elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the Assateague Island National Seashore in Maryland and Virginia, acquired post-Nor'Ida (November 2009 nor'easter) on November 28 and 30, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar(EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color-infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine aircraft, but the instrument was deployed on a Pilatus PC-6. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. For more information about similar projects, please visit the Decision Support for Coastal Science and Management website.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds559","usgsCitation":"Bonisteel-Cormier, J., Nayegandhi, A., Brock, J.C., Wright, C.W., Nagle, D., Klipp, E., Vivekanandan, S., Fredericks, X., and Stevens, S., 2010, EAARL Coastal Topography and Imagery-Assateague Island National Seashore, Maryland and Virginia, Post-Nor'Ida, 2009: U.S. Geological Survey Data Series 559, 1 DVD; HTML Page; Home; Purpose; Metadata; Collaborators; Acronyms, https://doi.org/10.3133/ds559.","productDescription":"1 DVD; HTML Page; Home; Purpose; Metadata; Collaborators; Acronyms","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126228,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_559.jpg"},{"id":19198,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/559/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.41666666666667,37.86666666666667 ], [ -75.41666666666667,38.333333333333336 ], [ -75.05,38.333333333333336 ], [ -75.05,37.86666666666667 ], [ -75.41666666666667,37.86666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a59e4b07f02db62f687","contributors":{"authors":[{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, J. 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,{"id":9000580,"text":"ds556 - 2010 - EAARL Coastal Topography-Mississippi and Alabama Barrier Islands, Post-Hurricane Gustav, 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:10:07","indexId":"ds556","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"556","title":"EAARL Coastal Topography-Mississippi and Alabama Barrier Islands, Post-Hurricane Gustav, 2008","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA. This project provides highly detailed and accurate datasets of a portion of the Mississippi and Alabama barrier islands, acquired post-Hurricane Gustav (September 2008 hurricane) on September 8, 2008. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. 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,{"id":9000575,"text":"ds562 - 2010 - EAARL Coastal Topography-Maryland and Delaware, Post-Nor'Ida, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:08","indexId":"ds562","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"562","title":"EAARL Coastal Topography-Maryland and Delaware, Post-Nor'Ida, 2009","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL. This project provides highly detailed and accurate datasets of a portion of the eastern Maryland and Delaware coastline beachface, acquired post-Nor'Ida (November 2009 nor'easter) on November 28 and 30, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color-infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine aircraft, but the instrument was deployed on a Pilatus PC-6. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. 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,{"id":9000579,"text":"ds558 - 2010 - EAARL Coastal Topography-Fire Island National Seashore, New York, Post-Nor'Ida, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ds558","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"558","title":"EAARL Coastal Topography-Fire Island National Seashore, New York, Post-Nor'Ida, 2009","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the Fire Island National Seashore in New York, acquired post-Nor'Ida (November 2009 nor'easter) on December 4, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. 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,{"id":9000574,"text":"ds561 - 2010 - EAARL Coastal Topography-Eastern Florida, Post-Hurricane Jeanne, 2004: First Surface","interactions":[],"lastModifiedDate":"2012-02-10T00:10:07","indexId":"ds561","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"561","title":"EAARL Coastal Topography-Eastern Florida, Post-Hurricane Jeanne, 2004: First Surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA. This project provides highly detailed and accurate datasets of a portion of the eastern Florida coastline beachface, acquired post-Hurricane Jeanne (September 2004 hurricane) on October 1, 2004. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. 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,{"id":99019,"text":"ofr20101272 - 2010 - Shenandoah National Park Phenology Project-Weather data collection, description, and processing","interactions":[],"lastModifiedDate":"2012-02-02T00:04:40","indexId":"ofr20101272","displayToPublicDate":"2011-02-02T00:00:00","publicationYear":"2010","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":"2010-1272","title":"Shenandoah National Park Phenology Project-Weather data collection, description, and processing","docAbstract":"The weather data described in this document are being collected as part of a U.S. Geological Survey (USGS) study of changes in Shenandoah National Park (SNP) landscape phenology (Jones and Osbourne, 2008). Phenology is the study of the timing of biological events, such as annual plant flowering and seasonal bird migration. These events are partially driven by changes in temperature and precipitation; therefore, phenology studies how these events may reflect changes in climate. Landscape phenology is the study of changes in biological events over broad areas and assemblages of vegetation. To study climate-change relations over broad areas (at landscape scale), the timing and amount of annual tree leaf emergence, maximum foliage, and leaf fall for forested areas are of interest. To better link vegetation changes with climate, weather data are necessary. This report documents weather-station data collection and processing procedures used in the Shenandoah National Park Phenology Project.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101272","collaboration":"Eastern Geographic Science Center","usgsCitation":"Jones, J., Aiello, D., and Osborne, J.D., 2010, Shenandoah National Park Phenology Project-Weather data collection, description, and processing: U.S. Geological Survey Open-File Report 2010-1272, iii, 17 p. , https://doi.org/10.3133/ofr20101272.","productDescription":"iii, 17 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":123862,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1272.bmp"},{"id":14455,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1272/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fae4b07f02db5f4010","contributors":{"authors":[{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":307279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiello, Danielle P.","contributorId":107243,"corporation":false,"usgs":true,"family":"Aiello","given":"Danielle P.","affiliations":[],"preferred":false,"id":307281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osborne, Jesse D.","contributorId":90264,"corporation":false,"usgs":true,"family":"Osborne","given":"Jesse","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":307280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":9000571,"text":"ofr20101264 - 2010 - A Servicewide Benthic Mapping Program for National Parks","interactions":[],"lastModifiedDate":"2023-05-19T13:39:53.612492","indexId":"ofr20101264","displayToPublicDate":"2011-01-26T00:00:00","publicationYear":"2010","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":"2010-1264","title":"A Servicewide Benthic Mapping Program for National Parks","docAbstract":"In 2007, the National Park Service (NPS) Inventory and Monitoring Program directed the initiation of a benthic habitat mapping program in ocean and coastal parks in alignment with the NPS Ocean Park Stewardship 2007-2008 Action Plan. With 74 ocean and Great Lakes parks stretching over more than 5,000 miles of coastline across 26 States and territories, this Servicewide Benthic Mapping Program (SBMP) is essential. This program will deliver benthic habitat maps and their associated inventory reports to NPS managers in a consistent, servicewide format to support informed management and protection of 3 million acres of submerged National Park System natural and cultural resources. The NPS and the U.S. Geological Survey (USGS) convened a workshop June 3-5, 2008, in Lakewood, Colo., to discuss the goals and develop the design of the NPS SBMP with an assembly of experts (Moses and others, 2010) who identified park needs and suggested best practices for inventory and mapping of bathymetry, benthic cover, geology, geomorphology, and some water-column properties. The recommended SBMP protocols include servicewide standards (such as gap analysis, minimum accuracy, final products) as well as standards that can be adapted to fit network and park unit needs (for example, minimum mapping unit, mapping priorities). SBMP Mapping Process. The SBMP calls for a multi-step mapping process for each park, beginning with a gap assessment and data mining to determine data resources and needs. An interagency announcement of intent to acquire new data will provide opportunities to leverage partnerships. Prior to new data acquisition, all involved parties should be included in a scoping meeting held at network scale. Data collection will be followed by processing and interpretation, and finally expert review and publication. After publication, all digital materials will be archived in a common format. SBMP Classification Scheme. The SBMP will map using the Coastal and Marine Ecological Classification Standard (CMECS) that is being modified to include all NPS needs, such as lacustrine ecosystems and submerged cultural resources. CMECS Version III (Madden and others, 2010) includes components for water column, biotic cover, surface geology, sub-benthic, and geoform. SBMP Data Archiving. The SBMP calls for the storage of all raw data and final products in common-use data formats. The concept of 'collect once, use often' is essential to efficient use of mapping resources. Data should also be shared with other agencies and the public through various digital clearing houses, such as Geospatial One-Stop (http://gos2.geodata.gov/wps/portal/gos). To be most useful for managing submerged resources, the SBMP advocates the inventory and mapping of the five components of marine ecosystems: surface geology, biotic cover, geoform, sub-benthic, and water column. A complete benthic inventory of a park would include maps of bathymetry and the five components of CMECS. The completion of mapping for any set of components, such as bathymetry and surface geology, or a particular theme (for example, submerged aquatic vegetation) should also include a printed report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101264","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Moses, C.S., Nayegandhi, A., Beavers, R., and Brock, J., 2010, A Servicewide Benthic Mapping Program for National Parks: U.S. Geological Survey Open-File Report 2010-1264, vi, 88 p., https://doi.org/10.3133/ofr20101264.","productDescription":"vi, 88 p.","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science 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,{"id":99007,"text":"fs20103121 - 2010 - Water-quality sampling by the U.S. Geological Survey-Standard protocols and procedures","interactions":[],"lastModifiedDate":"2012-02-02T00:15:49","indexId":"fs20103121","displayToPublicDate":"2011-01-22T00:00:00","publicationYear":"2010","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":"2010-3121","title":"Water-quality sampling by the U.S. Geological Survey-Standard protocols and procedures","docAbstract":"Thumbnail of and link to report PDF (1.0 MB)\r\n\r\nThe U.S. Geological Survey (USGS) develops the sampling procedures and collects the data necessary for the accurate assessment and wise management of our Nation's surface-water and groundwater resources. Federal and State agencies, water-resource regulators and managers, and many organizations and interested parties in the public and private sectors depend on the reliability, timeliness, and integrity of the data we collect and the scientific soundness and impartiality of our data assessments and analysis. The standard data-collection methods uniformly used by USGS water-quality personnel are peer reviewed, kept up-to-date, and published in the National Field Manual for the Collection of Water-Quality Data (http://pubs.water.usgs.gov/twri9A/). ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103121","usgsCitation":"Wilde, F.D., 2010, Water-quality sampling by the U.S. Geological Survey-Standard protocols and procedures: U.S. Geological Survey Fact Sheet 2010-3121, 2 p., https://doi.org/10.3133/fs20103121.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"links":[{"id":126028,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3121.gif"},{"id":14444,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3121/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67afa4","contributors":{"authors":[{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":92240,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska","email":"fwilde@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":307245,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99005,"text":"ofr20101119 - 2010 - The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101119","displayToPublicDate":"2011-01-19T00:00:00","publicationYear":"2010","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":"2010-1119","title":"The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts","docAbstract":"Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. The U.S. Geological Survey's National Assessment of Shoreline Change Project has compiled a comprehensive database of digital vector shorelines and shoreline-change rates for the New England and Mid-Atlantic Coasts. There is currently no widely accepted standard for analyzing shoreline change. Existing measurement and rate-calculation methods vary from study to study and preclude combining results into statewide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method that is consistent from coast to coast for measuring changes in shoreline position. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101119","usgsCitation":"Himmelstoss, E., Kratzmann, M.G., Hapke, C., Thieler, E.R., and List, J., 2010, The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts: U.S. Geological Survey Open-File Report 2010-1119, HTML Document; Geospatial Data, https://doi.org/10.3133/ofr20101119.","productDescription":"HTML Document; Geospatial Data","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126171,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1119.gif"},{"id":14442,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1119/","linkFileType":{"id":5,"text":"html"}}],"scale":"70000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78,36 ], [ -78,48 ], [ -68,48 ], [ -68,36 ], [ -78,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b493a","contributors":{"authors":[{"text":"Himmelstoss, Emily A.","contributorId":24736,"corporation":false,"usgs":true,"family":"Himmelstoss","given":"Emily A.","affiliations":[],"preferred":false,"id":307241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kratzmann, Meredith G. 0000-0002-2513-2144 mkratzmann@usgs.gov","orcid":"https://orcid.org/0000-0002-2513-2144","contributorId":4950,"corporation":false,"usgs":true,"family":"Kratzmann","given":"Meredith","email":"mkratzmann@usgs.gov","middleInitial":"G.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":307239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hapke, Cheryl","contributorId":89846,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","affiliations":[],"preferred":false,"id":307242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":307238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"List, Jeffrey","contributorId":7238,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey","affiliations":[],"preferred":false,"id":307240,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":99004,"text":"ds521 - 2010 - Time-lapse imagery of the breaching of Marmot Dam, Oregon, and subsequent erosion of sediment by the Sandy River– October 2007 to May 2008","interactions":[],"lastModifiedDate":"2021-12-09T22:53:57.542173","indexId":"ds521","displayToPublicDate":"2011-01-15T00:00:00","publicationYear":"2010","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":"521","title":"Time-lapse imagery of the breaching of Marmot Dam, Oregon, and subsequent erosion of sediment by the Sandy River– October 2007 to May 2008","docAbstract":"<p>In 2007, Marmot Dam on the Sandy River, Oregon, was removed and a temporary cofferdam standing in its place was breached, allowing the river to flow freely along its entire length. Time-lapse imagery obtained from a network of digital single-lens reflex cameras placed around the lower reach of the sediment-filled reservoir behind the dam details rapid erosion of sediment by the Sandy River after breaching of the cofferdam. Within hours of the breaching, the Sandy River eroded much of the nearly 15-m-thick frontal part of the sediment wedge impounded behind the former concrete dam; within 24-60 hours it eroded approximately 125,000 m<sup>3</sup> of sediment impounded in the lower 300-meter-reach of the reservoir. The imagery shows that the sediment eroded initially through vertical incision, but that lateral erosion rapidly became an important process.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds521","usgsCitation":"Major, J.J., Spicer, K.R., and Collins, R.A., 2010, Time-lapse imagery of the breaching of Marmot Dam, Oregon, and subsequent erosion of sediment by the Sandy River– October 2007 to May 2008: U.S. Geological Survey Data Series 521, Report: iv, 5 p.; Movie File Folder, https://doi.org/10.3133/ds521.","productDescription":"Report: iv, 5 p.; Movie File Folder","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-10-01","temporalEnd":"2008-05-31","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":126074,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_521.bmp"},{"id":14441,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/521/","linkFileType":{"id":5,"text":"html"}},{"id":392714,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94811.htm"}],"country":"United States","state":"Oregon","otherGeospatial":"Marmot Dam, Sandy River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.13046073913574,\n              45.394592696926615\n            ],\n            [\n              -122.12222099304198,\n              45.394592696926615\n            ],\n            [\n              -122.12222099304198,\n              45.40025798537436\n            ],\n            [\n              -122.13046073913574,\n              45.40025798537436\n            ],\n            [\n              -122.13046073913574,\n              45.394592696926615\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b5a9","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":307235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":307236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Rebecca A.","contributorId":70420,"corporation":false,"usgs":true,"family":"Collins","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":307237,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":99002,"text":"sir20095179 - 2010 - Hydrostratigraphy, soil/sediment chemistry, and water quality, Potomac-Raritan-Magothy aquifer system, Puchack Well Field Superfund site and vicinity, Pennsauken Township, Camden County, New Jersey, 1997-2001","interactions":[],"lastModifiedDate":"2012-03-08T17:16:14","indexId":"sir20095179","displayToPublicDate":"2011-01-15T00:00:00","publicationYear":"2010","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":"2009-5179","title":"Hydrostratigraphy, soil/sediment chemistry, and water quality, Potomac-Raritan-Magothy aquifer system, Puchack Well Field Superfund site and vicinity, Pennsauken Township, Camden County, New Jersey, 1997-2001","docAbstract":"Drinking-water supplies from the Potomac-Raritan-Magothy aquifer system at the Puchack well field in Pennsauken Township, Camden County, New Jersey, have been contaminated by hexavalent chromium-the most toxic and mobile form-at concentrations exceeding the New Jersey maximum contaminant level of 100 micrograms per liter. Also, scattered but widespread instances of volatile organic compounds (primarily trichloroethylene) at concentrations that exceed their respective maximum contaminant levels in the area's ground water have been reported. Because inorganic and organic contaminants are present in the ground water underlying the Puchack well field, no water from there has been withdrawn for public supply since 1998, when the U.S. Environmental Protection Agency (USEPA) added the area that contains the Puchack well field to the National Priorities List.\r\n\r\nAs part of the USEPA's investigation of the Puchack Well Field Superfund site, the U.S. Geological Survey (USGS) conducted a study during 1997-2001 to (1) refine previous interpretations of the hydrostratigraphic framework, hydraulic gradients, and local directions of ground-water flow; (2) describe the chemistry of soils and saturated aquifer sediments; and (3) document the quality of ground water in the Potomac-Raritan-Magothy aquifer system in the area.\r\n\r\nThe four major water-bearing units of the Potomac-Raritan-Magothy aquifer system-the Upper aquifer (mostly unsaturated in the study area), the Middle aquifer, the Intermediate Sand (a local but important unit), and the Lower aquifer-are separated by confining units. The confining units contain areas of cut and fill, resulting in permeable zones that permit water to pass through them. Pumping from the Puchack well field during the past 3 decades resulted in downward hydraulic gradients that moved contaminants into the Lower aquifer, in which the production wells are finished, and caused ground water to flow northeast, locally. A comparison of current (1997-2001) water levels near the site of the former pumping center with data from previous investigations indicates that, since pumping at the Puchack well field ceased, the dominant local ground-water flow direction is to the southeast, aligned with regional flow.\r\n\r\nChromium concentrations were highest (8,010 micrograms per liter in 2000-01) in water from the Middle aquifer immediately downgradient from a possible source; the extent of this chromium plume is unknown but appears to be small. A second, unrelated, localized chromium plume also was identified in the Middle aquifer. The Intermediate Sand was found to contain an areally extensive plume of chromium-contaminated water, with concentrations up to 6,310 micrograms per liter in 2000-01, and another plume of about the same size, with concentrations up to 4,810 micrograms per liter in 2000-01, was identified in the Lower aquifer. The previous USGS investigation indicated the approximate extent of the combined plumes; the current delineation indicates that their locations have shifted slightly to the southeast since 1998.\r\n\r\nConcentrations of chromium in ground water decreased at some well locations by as much as 60 percent between sampling rounds in 1997-98 and 1999-2001. The decrease in chromium concentration at a given well could be the result of the chemical reduction of hexavalent chromium and precipitation of the resulting trivalent chromium, the sorption of hexavalent chromium to aquifer materials, or the physical movement of the plumes. Available data indicate that all three processes likely have affected concentrations. The distribution of hexavalent and total chromium in the soils and sediments of a possible source area indicates that some hexavalent chromium has undergone chemical reduction in the soils, but the degree to which this process takes place in the aquifer currently is not known. Nor is it known whether contaminated soils continue to contribute chromium to the aquifer system.\r\n\r\nContamination by vola","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095179","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Barringer, J., Walker, R.L., Jacobsen, E., and Jankowski, P., 2010, Hydrostratigraphy, soil/sediment chemistry, and water quality, Potomac-Raritan-Magothy aquifer system, Puchack Well Field Superfund site and vicinity, Pennsauken Township, Camden County, New Jersey, 1997-2001: U.S. Geological Survey Scientific Investigations Report 2009-5179, xvi, 123 p.; Appendices; Plate 1: 36 inches x 48 inches; Plate 2: 36 inches x 48 inches; Plate 3: 36 inches x 48 inches;, https://doi.org/10.3133/sir20095179.","productDescription":"xvi, 123 p.; Appendices; Plate 1: 36 inches x 48 inches; Plate 2: 36 inches x 48 inches; Plate 3: 36 inches x 48 inches;","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1997-01-01","temporalEnd":"2001-12-31","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":14439,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5179/","linkFileType":{"id":5,"text":"html"}},{"id":126073,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5179.bmp"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.11666666666666,39.884166666666665 ], [ -75.11666666666666,40.016666666666666 ], [ -74.91666666666667,40.016666666666666 ], [ -74.91666666666667,39.884166666666665 ], [ -75.11666666666666,39.884166666666665 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e8c5","contributors":{"authors":[{"text":"Barringer, Julia L.","contributorId":59419,"corporation":false,"usgs":true,"family":"Barringer","given":"Julia L.","affiliations":[],"preferred":false,"id":307230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Richard L.","contributorId":38961,"corporation":false,"usgs":true,"family":"Walker","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":307228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobsen, Eric jacobsen@usgs.gov","contributorId":3864,"corporation":false,"usgs":true,"family":"Jacobsen","given":"Eric","email":"jacobsen@usgs.gov","affiliations":[],"preferred":true,"id":307227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jankowski, Pamela","contributorId":50128,"corporation":false,"usgs":true,"family":"Jankowski","given":"Pamela","email":"","affiliations":[],"preferred":false,"id":307229,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98996,"text":"ofr20101294 - 2010 - Assessment of coal geology, resources, and reserves in the northern Wyoming Powder River Basin","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20101294","displayToPublicDate":"2011-01-13T00:00:00","publicationYear":"2010","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":"2010-1294","title":"Assessment of coal geology, resources, and reserves in the northern Wyoming Powder River Basin","docAbstract":"The abundance of new borehole data from recent coal bed natural gas development in the Powder River Basin was utilized by the U.S. Geological Survey for the most comprehensive evaluation to date of coal resources and reserves in the Northern Wyoming Powder River Basin assessment area. It is the second area within the Powder River Basin to be assessed as part of a regional coal assessment program; the first was an evaluation of coal resources and reserves in the Gillette coal field, adjacent to and south of the Northern Wyoming Powder River Basin assessment area. There are no active coal mines in the Northern Wyoming Powder River Basin assessment area at present. However, more than 100 million short tons of coal were produced from the Sheridan coal field between the years 1887 and 2000, which represents most of the coal production within the northwestern part of the Northern Wyoming Powder River Basin assessment area.\r\n\r\nA total of 33 coal beds were identified during the present study, 24 of which were modeled and evaluated to determine in-place coal resources. Given current technology, economic factors, and restrictions to mining, seven of the beds were evaluated for potential reserves. The restrictions included railroads, a Federal interstate highway, urban areas, and alluvial valley floors. Other restrictions, such as depth, thickness of coal beds, mined-out areas, and areas of burned coal, were also considered.\r\n\r\nThe total original coal resource in the Northern Wyoming Powder River Basin assessment area for all 24 coal beds assessed, with no restrictions applied, was calculated to be 285 billion short tons. Available coal resources, which are part of the original coal resource that is accessible for potential mine development after subtracting all restrictions, are about 263 billion short tons (92.3 percent of the original coal resource). Recoverable coal, which is that portion of available coal remaining after subtracting mining and processing losses, was determined for seven coal beds with a stripping ratio of 10:1 or less. After mining and processing losses were subtracted, a total of 50 billion short tons of recoverable coal was calculated.\r\n\r\nCoal reserves are the portion of the recoverable coal that can be mined, processed, and marketed at a profit at the time of the economic evaluation. With a discounted cash flow at 8 percent rate of return, the coal reserves estimate for the Northern Wyoming Powder River Basin assessment area is 1.5 billion short tons of coal (1 percent of the original resource total) for the seven coal beds evaluated.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101294","usgsCitation":"Scott, D.C., Haacke, J., Osmonson, L.M., Luppens, J.A., Pierce, P.E., and Rohrbacher, T.J., 2010, Assessment of coal geology, resources, and reserves in the northern Wyoming Powder River Basin: U.S. Geological Survey Open-File Report 2010-1294, ix, 136 p. , https://doi.org/10.3133/ofr20101294.","productDescription":"ix, 136 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":126135,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1294.bmp"},{"id":14433,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1294/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108,42.5 ], [ -108,46.5 ], [ -104,46.5 ], [ -104,42.5 ], [ -108,42.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4822e4b07f02db4e1fe1","contributors":{"authors":[{"text":"Scott, David C. 0000-0002-7925-7452 dscott@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-7452","contributorId":629,"corporation":false,"usgs":true,"family":"Scott","given":"David","email":"dscott@usgs.gov","middleInitial":"C.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":307169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haacke, Jon E.","contributorId":86054,"corporation":false,"usgs":true,"family":"Haacke","given":"Jon E.","affiliations":[],"preferred":false,"id":307173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osmonson, Lee M.","contributorId":33322,"corporation":false,"usgs":false,"family":"Osmonson","given":"Lee","email":"","middleInitial":"M.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":false,"id":307172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luppens, James A. 0000-0001-7607-8750 jluppens@usgs.gov","orcid":"https://orcid.org/0000-0001-7607-8750","contributorId":550,"corporation":false,"usgs":true,"family":"Luppens","given":"James","email":"jluppens@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pierce, Paul E. 0000-0001-9675-7320 ppierce@usgs.gov","orcid":"https://orcid.org/0000-0001-9675-7320","contributorId":3732,"corporation":false,"usgs":true,"family":"Pierce","given":"Paul","email":"ppierce@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":307170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rohrbacher, Timothy J.","contributorId":20355,"corporation":false,"usgs":true,"family":"Rohrbacher","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":307171,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98994,"text":"ofr20101310 - 2010 - Selected low-flow frequency statistics for continuous-record streamgage locations in Maryland, 2010","interactions":[],"lastModifiedDate":"2023-03-10T12:41:40.884303","indexId":"ofr20101310","displayToPublicDate":"2011-01-11T00:00:00","publicationYear":"2010","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":"2010-1310","title":"Selected low-flow frequency statistics for continuous-record streamgage locations in Maryland, 2010","docAbstract":"According to a 2008 report by the Governor's Advisory Committee on the Management and Protection of the State's Water Resources, Maryland's population grew by 35 percent between 1970 and 2000, and is expected to increase by an additional 27 percent between 2000 and 2030. Because domestic water demand generally increases in proportion to population growth, Maryland will be facing increased pressure on water resources over the next 20 years. Water-resources decisions should be based on sound, comprehensive, long-term data and low-flow frequency statistics from all available streamgage locations with unregulated streamflow and adequate record lengths. To provide the Maryland Department of the Environment with tools for making future water-resources decisions, the U.S. Geological Survey initiated a study in October 2009 to compute low-flow frequency statistics for selected streamgage locations in Maryland with 10 or more years of continuous streamflow records.\r\n\r\nThis report presents low-flow frequency statistics for 114 continuous-record streamgage locations in Maryland. The computed statistics presented for each streamgage location include the mean 7-, 14-, and 30-consecutive day minimum daily low-flow dischages for recurrence intervals of 2, 10, and 20 years, and are based on approved streamflow records that include a minimum of 10 complete climatic years of record as of June 2010. Descriptive information for each of these streamgage locations, including the station number, station name, latitude, longitude, county, physiographic province, and drainage area, also is presented. \r\n\r\nThe statistics are planned for incorporation into StreamStats, which is a U.S. Geological Survey Web application for obtaining stream information, and is being used by water-resource managers and decision makers in Maryland to address water-supply planning and management, water-use appropriation and permitting, wastewater and industrial discharge permitting, and setting minimum required streamflows to protect freshwater biota and ecosystems.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101310","collaboration":"Prepared in cooperation with the Maryland Department of the Environment","usgsCitation":"Doheny, E.J., and Banks, W.S., 2010, Selected low-flow frequency statistics for continuous-record streamgage locations in Maryland, 2010: U.S. Geological Survey Open-File Report 2010-1310, iv, 22 p., https://doi.org/10.3133/ofr20101310.","productDescription":"iv, 22 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":116253,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1310.bmp"},{"id":14427,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1310/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80,38 ], [ -80,40 ], [ -75,40 ], [ -75,38 ], [ -80,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a03e4b07f02db5f840c","contributors":{"authors":[{"text":"Doheny, Edward J. 0000-0002-6043-3241 ejdoheny@usgs.gov","orcid":"https://orcid.org/0000-0002-6043-3241","contributorId":4495,"corporation":false,"usgs":true,"family":"Doheny","given":"Edward","email":"ejdoheny@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":307164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banks, William S.L.","contributorId":35281,"corporation":false,"usgs":true,"family":"Banks","given":"William","email":"","middleInitial":"S.L.","affiliations":[],"preferred":false,"id":307165,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98993,"text":"ofr20101267 - 2010 - Water-quality, bed-sediment, and biological data (October 2008 through September 2009) and statistical summaries of long-term data for streams in the Clark Fork basin, Montana","interactions":[],"lastModifiedDate":"2019-08-08T11:11:37","indexId":"ofr20101267","displayToPublicDate":"2011-01-08T00:00:00","publicationYear":"2010","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":"2010-1267","title":"Water-quality, bed-sediment, and biological data (October 2008 through September 2009) and statistical summaries of long-term data for streams in the Clark Fork basin, Montana","docAbstract":"Water, bed sediment, and biota were sampled in streams from Butte to near Missoula, Montana, as part of a long-term monitoring program in the upper Clark Fork basin; additional water samples were collected in the Clark Fork basin from sites near Missoula downstream to near the confluence of the Clark Fork and Flathead River as part of a supplemental sampling program. The sampling programs were conducted by the U.S. Geological Survey in cooperation with the U.S. Environmental Protection Agency to characterize aquatic resources in the Clark Fork basin of western Montana, with emphasis on trace elements associated with historic mining and smelting activities. Sampling sites were located on the Clark Fork and selected tributaries. Water samples were collected periodically at 24 sites from October 2008 through September 2009. Bed-sediment and biota samples were collected once at 13 sites during August 2009.\r\nThis report presents the analytical results and quality-assurance data for water-quality, bed-sediment, and biota samples collected at all long-term and supplemental monitoring sites from October 2008 through September 2009. Water-quality data include concentrations of selected major ions, trace elements, and suspended sediment. Turbidity was analyzed for water samples collected at the four sites where seasonal daily values of turbidity were being determined as well as at Clark Fork above Missoula. Nutrients also were analyzed at all the supplemental water-quality sites, except for Clark Fork Bypass, near Bonner. Daily values of suspended-sediment concentration and suspended-sediment discharge were determined for four sites. Bed-sediment data include trace-element concentrations in the fine-grained fraction. Biological data include trace-element concentrations in whole-body tissue of aquatic benthic insects. Statistical summaries of long-term water-quality, bed-sediment, and biological data for sites in the upper Clark Fork basin are provided for the period of record since 1985.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101267","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Dodge, K.A., Hornberger, M.I., and Dyke, J., 2010, Water-quality, bed-sediment, and biological data (October 2008 through September 2009) and statistical summaries of long-term data for streams in the Clark Fork basin, Montana: U.S. Geological Survey Open-File Report 2010-1267, vi, 17 p., https://doi.org/10.3133/ofr20101267.","productDescription":"vi, 17 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-10-01","temporalEnd":"2009-09-30","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":133868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14426,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1267/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.5,45.75 ], [ -115.5,47.75 ], [ -112.16666666666667,47.75 ], [ -112.16666666666667,45.75 ], [ -115.5,45.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db668280","contributors":{"authors":[{"text":"Dodge, Kent A. kdodge@usgs.gov","contributorId":1036,"corporation":false,"usgs":true,"family":"Dodge","given":"Kent","email":"kdodge@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":307163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dyke, Jessica jldyke@usgs.gov","contributorId":1035,"corporation":false,"usgs":true,"family":"Dyke","given":"Jessica","email":"jldyke@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":307161,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":9000559,"text":"ds568 - 2010 - Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort Sea and neighboring regions, Alaska, 1910–2010","interactions":[{"subject":{"id":9000559,"text":"ds568 - 2010 - Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort Sea and neighboring regions, Alaska, 1910–2010","indexId":"ds568","publicationYear":"2010","noYear":false,"displayTitle":"Catalogue of Polar Bear (<em>Ursus maritimus</em>) Maternal Den Locations in the Beaufort Sea and Neighboring Regions, Alaska, 1910–2010","title":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort Sea and neighboring regions, Alaska, 1910–2010"},"predicate":"SUPERSEDED_BY","object":{"id":70207463,"text":"ds1121 - 2020 - Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018","indexId":"ds1121","publicationYear":"2020","noYear":false,"title":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018"},"id":1}],"supersededBy":{"id":70207463,"text":"ds1121 - 2020 - Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018","indexId":"ds1121","publicationYear":"2020","noYear":false,"title":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018"},"lastModifiedDate":"2020-01-27T19:44:17","indexId":"ds568","displayToPublicDate":"2011-01-07T00:00:00","publicationYear":"2010","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":"568","displayTitle":"Catalogue of Polar Bear (<em>Ursus maritimus</em>) Maternal Den Locations in the Beaufort Sea and Neighboring Regions, Alaska, 1910–2010","title":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort Sea and neighboring regions, Alaska, 1910–2010","docAbstract":"<p>This report presents data on the approximate locations and methods of discovery of 392 polar bear (<i>Ursus maritimus</i>) maternal dens found in the Beaufort Sea and neighboring regions between 1910 and 2010 that are archived by the U.S. Geological Survey, Alaska Science Center, Anchorage, Alaska. A description of data collection methods, biases associated with collection method, primary time periods, and spatial resolution are provided. Polar bears in the Beaufort Sea and nearby regions den on both the sea ice and on land. Standardized VHF surveys and satellite radio telemetry data provide a general understanding of where polar bears have denned in this region over the past 3 decades. Den observations made during other research activities and anecdotal reports from other government agencies, coastal residents, and industry personnel also are reported. Data on past polar bear maternal den locations are provided to inform the public and to provide information for natural resource agencies in planning activities to avoid or minimize interference with polar bear maternity dens.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds568","usgsCitation":"Durner, G.M., Fischbach, A.S., Amstrup, S.C., and Douglas, D.C., 2010, Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort Sea and neighboring regions, Alaska, 1910–2010: U.S. Geological Survey Data Series 568, Report: iv, 14 p.; Appendix 1, https://doi.org/10.3133/ds568.","productDescription":"Report: iv, 14 p.; Appendix 1","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":137333,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds568.jpg"},{"id":287005,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/568/data/ds568_appendix1.xls","text":"Appendix 1","size":"77 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 568 Appendix 1"},{"id":19186,"rank":200,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/568/","linkFileType":{"id":5,"text":"html"}},{"id":287004,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/568/pdf/ds568.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 568"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": 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          66.12496236487968\n            ],\n            [\n              -172.265625,\n              63.58767529470318\n            ],\n            [\n              -169.8046875,\n              62.79493487887006\n            ],\n            [\n              -168.837890625,\n              63.27318217465046\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/science/regions/alaska-region\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/science/regions/alaska-region\">Regional Director, Alaska</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508-4560</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods of Discovery</li><li>Distribution of Den Locations</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendixes 1–2</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e6ff6","contributors":{"authors":[{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":344219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":344218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":344220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":344217,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98985,"text":"sir20105248 - 2010 - Effects of wastewater effluent discharge and treatment facility upgrades on environmental and biological conditions of the upper Blue River, Johnson County, Kansas and Jackson County, Missouri, January 2003 through March 2009","interactions":[],"lastModifiedDate":"2024-07-31T19:08:48.94521","indexId":"sir20105248","displayToPublicDate":"2011-01-06T00:00:00","publicationYear":"2010","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":"2010-5248","title":"Effects of wastewater effluent discharge and treatment facility upgrades on environmental and biological conditions of the upper Blue River, Johnson County, Kansas and Jackson County, Missouri, January 2003 through March 2009","docAbstract":"<p>The Johnson County Blue River Main Wastewater Treatment Facility discharges into the upper Blue River near the border between Johnson County, Kansas and Jackson County, Missouri. During 2005 through 2007 the wastewater treatment facility underwent upgrades to increase capacity and include biological nutrient removal. The effects of wastewater effluent on environmental and biological conditions of the upper Blue River were assessed by comparing an upstream site to two sites located downstream from the wastewater treatment facility. Environmental conditions were evaluated using previously and newly collected discrete and continuous data, and were compared with an assessment of biological community composition and ecosystem function along the upstream-downstream gradient. This evaluation is useful for understanding the potential effects of wastewater effluent on water quality, biological community structure, and ecosystem function. In addition, this information can be used to help achieve National Pollution Discharge Elimination System (NPDES) wastewater effluent permit requirements after additional studies are conducted.</p><p>The effects of wastewater effluent on the water-quality conditions of the upper Blue River were most evident during below-normal and normal streamflows (about 75 percent of the time), when wastewater effluent contributed more than 20 percent to total streamflow. The largest difference in water-quality conditions between the upstream and downstream sites was in nutrient concentrations. Total and inorganic nutrient concentrations at the downstream sites during below-normal and normal streamflows were 4 to 15 times larger than at the upstream site, even after upgrades to the wastewater treatment facility were completed. However, total nitrogen concentrations decreased in wastewater effluent and at the downstream site following wastewater treatment facility upgrades. Similar decreases in total phosphorus were not observed, likely because the biological phosphorus removal process was not optimized until after the study was completed.</p><p>Total nitrogen and phosphorus from the wastewater treatment facility contributed a relatively small percentage (14 to 15 percent) to the annual nutrient load in the upper Blue River, but contributed substantially (as much as 75 percent) to monthly loads during seasonal low-flows in winter and summer. During 2007 and 2008, annual discharge from the wastewater treatment facility was about one-half maximum capacity, and estimated potential maximum annual loads were 1.6 to 2.4 times greater than annual loads before capacity upgrades. Even when target nutrient concentrations are met, annual nutrient loads will increase when the wastewater treatment facility is operated at full capacity. Regardless of changes in annual nutrient loads, the reduction of nutrient concentrations in the Blue River Main wastewater effluent will help prevent further degradation of the upper Blue River.</p><p>The Blue River Main Wastewater Treatment Facility wastewater effluent caused changes in concentrations of several water-quality constituents that may affect biological community structure and function including larger concentrations of bioavailable nutrients (nitrate and orthophosphorus) and smaller turbidities. Streambed-sediment conditions were similar along the upstream-downstream gradient and measured constituents did not exceed probable effect concentrations. Habitat conditions declined along the upstream-downstream gradient, largely because of decreased canopy cover and riparian buffer width and increased riffle-substrate fouling. Algal biomass, primary production, and the abundance of nutrient-tolerant diatoms substantially increased downstream from the wastewater treatment facility. Likewise, the abundance of intolerant macroinvertebrate taxa and Kansas Department of Health and Environment aquatic-life-support scores, derived from macroinvertebrate data, significantly decreased downstream from the wastewater treatment facility. Ecosystem functional health, evaluated using a preliminary framework based on primary production and community respiration, downstream from the wastewater treatment facility was mildly impaired relative to the upstream site during summer 2008 but not during other times of the year.</p><p>Upgrades to the Blue River Main Wastewater Treatment Facility improved wastewater effluent quality, but the wastewater effluent discharge still had negative effects on the water quality and biological conditions at the downstream sites. Wastewater effluent discharge into the upper Blue River likely contributed to changes in measures of ecosystem structure (streamflow, water chemistry, algal biomass, algal periphyton and macroinvertebrate community composition) and primary production, a measure of ecosystem function, along the upstream-downstream gradient. Because the Blue River Main Wastewater Treatment Facility is located in a rapidly urbanizing area, urbanization effects also may play a role in the decline in environmental and biological conditions along the upstream-downstream gradient. Despite these differences in environmental and biological conditions, ecosystem functional health was not impaired downstream from the WWTF during most times of the year, indicating the declines in environmental and biological conditions along the upstream-downstream gradient were not substantial enough to cause persistent changes in ecosystem function.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105248","usgsCitation":"Graham, J.L., Stone, M.L., Rasmussen, T.J., and Poulton, B.C., 2010, Effects of wastewater effluent discharge and treatment facility upgrades on environmental and biological conditions of the upper Blue River, Johnson County, Kansas and Jackson County, Missouri, January 2003 through March 2009: U.S. Geological Survey Scientific Investigations Report 2010-5248, ix, 59 p., https://doi.org/10.3133/sir20105248.","productDescription":"ix, 59 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2003-01-01","temporalEnd":"2009-05-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":431731,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94726.htm","linkFileType":{"id":5,"text":"html"}},{"id":14419,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5248/","linkFileType":{"id":5,"text":"html"}},{"id":137666,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"2000000","projection":"Albers Conic Equal-Area projection","country":"United States","state":"Kansas, Missouri","county":"Jackson County, Johnson County","otherGeospatial":"Upper Blue River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.833,\n              38.7361\n            ],\n            [\n              -94.833,\n              39.1161\n            ],\n            [\n              -94.4353,\n              39.1161\n            ],\n            [\n              -94.4353,\n              38.7361\n            ],\n            [\n              -94.833,\n              38.7361\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f411","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":307145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":307148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":307147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":307146,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98982,"text":"ofr20101326 - 2010 - Strontium isotope detection of brine contamination in the East Poplar oil field, Montana","interactions":[],"lastModifiedDate":"2013-05-01T19:43:22","indexId":"ofr20101326","displayToPublicDate":"2011-01-06T00:00:00","publicationYear":"2010","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":"2010-1326","title":"Strontium isotope detection of brine contamination in the East Poplar oil field, Montana","docAbstract":"Brine contamination of groundwater in the East Poplar oil field was first documented in the mid-1980s by the U.S. Geological Survey by using hydrochemistry, with an emphasis on chloride (Cl) and total dissolved solids concentrations. Supply wells for the City of Poplar are located downgradient from the oil field, are completed in the same shallow aquifers that are documented as contaminated, and therefore are potentially at risk of being contaminated. In cooperation with the Office of Environmental Protection of the Fort Peck Tribes, groundwater samples were collected in 2009 and 2010 from supply wells, monitor wells, and the Poplar River for analyses of major and trace elements, including strontium (Sr) concentrations and isotopic compositions. The ratio of strontium-87 to strontium-86 (<sup>87</sup>Sr/<sup>86</sup>Sr) is used extensively as a natural tracer in groundwater to detect mixing among waters from different sources and to study the effects of water/rock interaction. On a plot of the reciprocal strontium concentration against the <sup>87</sup>Sr/<sup>86</sup>Sr ratio, mixtures of two end members will produce a linear array. Using this plotting method, data for samples from most of the wells, including the City of Poplar wells, define an array with reciprocal strontium values ranging from 0.08 to 4.15 and <sup>87</sup>Sr/<sup>86</sup>Sr ratios ranging from 0.70811 to 0.70828. This array is composed of a brine end member with an average <sup>87</sup>Sr/<sup>86</sup>Sr of 0.70822, strontium concentrations in excess of 12.5 milligrams per liter (mg/L), and chloride concentrations exceeding 8,000 mg/L mixing with uncontaminated water similar to that in USGS06-08 with 18.0 mg/L chloride, 0.24 mg/L strontium, and a <sup>87</sup>Sr/<sup>86</sup>Sr ratio of 0.70811. The position of samples from the City of Poplar public-water supply wells within this array indicates that brine contamination has reached all three wells. Outliers from this array are EPU-4G (groundwater from the Cretaceous Judith River Formation), brine samples from disposal wells (Huber 5-D and EPU 1-D), USGS92-11 (a well with water that was considerably contaminated in 1992 and becoming less saline with time), and PNR-27 (only slightly below the defined trend with an <sup>87</sup>Sr/<sup>86</sup>Sr ratio of 0.70793). Water samples from the City of Poplar wells are also enriched in anions and cations that are abundant in oil-field brine.","language":"ENGLISH","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101326","collaboration":"In cooperation with the Fort Peck Tribes Office of Environmental Protection","usgsCitation":"Peterman, Z., Thamke, J., Futa, K., and Oliver, T.A., 2010, Strontium isotope detection of brine contamination in the East Poplar oil field, Montana: U.S. Geological Survey Open-File Report 2010-1326, 20 p., https://doi.org/10.3133/ofr20101326.","productDescription":"20 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":14416,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1326/","linkFileType":{"id":5,"text":"html"}},{"id":115903,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1326.png"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a49b0","contributors":{"authors":[{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":620,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell E.","email":"peterman@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":307138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":307139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Futa, Kiyoto 0000-0001-8649-7510 kfuta@usgs.gov","orcid":"https://orcid.org/0000-0001-8649-7510","contributorId":619,"corporation":false,"usgs":true,"family":"Futa","given":"Kiyoto","email":"kfuta@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oliver, Thomas A. 0000-0002-6455-1114 taoliver@usgs.gov","orcid":"https://orcid.org/0000-0002-6455-1114","contributorId":2957,"corporation":false,"usgs":true,"family":"Oliver","given":"Thomas","email":"taoliver@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307140,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98980,"text":"ofr20101311 - 2010 - Audio-magnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona","interactions":[],"lastModifiedDate":"2012-02-02T00:04:45","indexId":"ofr20101311","displayToPublicDate":"2011-01-04T00:00:00","publicationYear":"2010","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":"2010-1311","title":"Audio-magnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona","docAbstract":"The Sunnyside porphyry copper system is part of the concealed San Rafael Valley porphyry system located in the Patagonia Mountains of Arizona. The U.S. Geological Survey is conducting a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project. To help characterize the size, resistivity, and skin depth of the polarizable mineral deposit concealed beneath thick overburden, a regional east-west audio-magnetotelluric sounding profile was acquired. The purpose of this report is to release the audio-magnetotelluric sounding data collected along that east-west profile. No interpretation of the data is included.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101311","usgsCitation":"Sampson, J.A., and Rodriguez, B.D., 2010, Audio-magnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona: U.S. Geological Survey Open-File Report 2010-1311, iii, 57 p. , https://doi.org/10.3133/ofr20101311.","productDescription":"iii, 57 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":116633,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1311.bmp"},{"id":14414,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1311/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db66818d","contributors":{"authors":[{"text":"Sampson, Jay A.","contributorId":13939,"corporation":false,"usgs":true,"family":"Sampson","given":"Jay","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":307135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":307134,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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