{"pageNumber":"1731","pageRowStart":"43250","pageSize":"25","recordCount":184617,"records":[{"id":70134741,"text":"70134741 - 2011 - Quantifying Lateral Migration of Sequestered Carbon Dioxide Based on Rock Properties and Permeability Classifications","interactions":[],"lastModifiedDate":"2017-06-06T11:16:58","indexId":"70134741","displayToPublicDate":"2011-10-26T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Quantifying Lateral Migration of Sequestered Carbon Dioxide Based on Rock Properties and Permeability Classifications","docAbstract":"<p>No abstract available.</p>","conferenceTitle":"10th Annual Conference on Carbon Capture and Sequestration","conferenceDate":"May 2-5, 2011","conferenceLocation":"Pittsburgh, PA","language":"English","publisher":"Annual Conference on Carbon Capture and Sequestration","usgsCitation":"Burke, L.A., 2011, Quantifying Lateral Migration of Sequestered Carbon Dioxide Based on Rock Properties and Permeability Classifications, 10th Annual Conference on Carbon Capture and Sequestration, Pittsburgh, PA, May 2-5, 2011, 15 p.","productDescription":"15 p.","ipdsId":"IP-028709","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":342147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5937bf32e4b0f6c2d0d9c7bc","contributors":{"authors":[{"text":"Burke, Lauri A. 0000-0002-2035-8048 lburke@usgs.gov","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":3859,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","email":"lburke@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":526358,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005821,"text":"sir20115113 - 2011 - Using host-associated genetic markers to investigate sources of fecal contamination in two Vermont streams","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"sir20115113","displayToPublicDate":"2011-10-26T00:00:00","publicationYear":"2011","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":"2011-5113","title":"Using host-associated genetic markers to investigate sources of fecal contamination in two Vermont streams","docAbstract":"The use of host-associated Bacteroidales-based 16S ribosomal ribonucleic acid genetic markers was investigated as a tool for providing information to managers on sources of bacterial impairment in Vermont streams. The study was conducted during 2009 in two watersheds on the U.S. Environmental Protection Agency's 303(d) List of Impaired Waters, the Huntington and the Mettawee Rivers. Streamwater samples collected during high-flow and base-flow conditions were analyzed for concentrations of Escherichia coli (E. coli) and Bacteroidales genetic markers (General AllBac, Human qHF183 and BacHum, Ruminant BoBac, and Canid BacCan) to identify humans, ruminants, and canids as likely or unlikely major sources of fecal contamination. Fecal reference samples from each of the potential source groups, as well as from common species of wildlife, were collected during the same season and from the same watersheds as water samples. The results were combined with data from other states to assess marker cross reaction and to relate marker results to E. coli, the regulated water-quality parameter, with a higher degree of statistical significance. Results from samples from the Huntington River collected under different flow conditions on three dates indicated that humans were unlikely to be a major source of fecal contamination, except for a single positive result at one station that indicated the potential for human sources. Ruminants (deer, moose, cow, or sheep) were potential sources of fecal contamination at all six stations on the Huntington River during one high-flow event and at all but two stations during the other high-flow event. Canids were potential sources of fecal contamination at some stations during two high-flow events, with genetic-marker concentrations in samples from two of the six stations showing consistent positive results for canids for both storm dates. A base-flow sample showed no evidence of major fecal contamination in the Huntington River from humans, ruminants, or canids. Results from samples from the Mettawee River watershed collected during high-flow conditions (12 storm samples on 2 dates at 6 stations) indicated that there was no evidence of fecal contamination from humans in seven samples and possible evidence in five samples. Results for humans were positive for only one station during both storm events. For two of the five samples with evidence for human fecal contamination, results for two different human genetic markers agreed, but results from three samples were inconsistent. In samples from five of the six Mettawee stations, ruminants were a potential source of fecal contamination on at least one of the three sampled dates, including three positive results for the base-flow sample. Yet samples from all of the stations that showed positive results for ruminants did so for only one or two of the three sampled dates. Samples from only one of the six stations gave consistent results, which were negative for ruminants for all three dates. In the Mettawee River base-flow sample, humans were an unlikely source of major fecal contamination. Factors that may influence results and conclusions include the timing of sample collection relative to the storm event; variability of E. coli and Bacteroidales concentrations in fecal reference samples and in water; sampling and analytical errors; the potential cross reactivity of host-associated genetic markers; and different persistence and survival rates of E. coli bacteria and Bacteroidales genetic markers on land, in water, and by season. These factors interfere with the ability to directly relate Bacteroidales concentrations to E. coli concentrations in river samples. It must be recognized that while use of Bacteroidales genetic markers as a source tracking tool coupled with the interpretive approach described in this report cannot be used quantitatively to pinpoint sources, it can be used to exclude potential sources as major contributors to fecal contamination.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115113","collaboration":"Prepared in cooperation with the Vermont Department of Environmental Conservation","usgsCitation":"Medalie, L., Matthews, L., and Stelzer, E.A., 2011, Using host-associated genetic markers to investigate sources of fecal contamination in two Vermont streams: U.S. Geological Survey Scientific Investigations Report 2011-5113, vii, 30 p., https://doi.org/10.3133/sir20115113.","productDescription":"vii, 30 p.","startPage":"i","endPage":"30","numberOfPages":"37","additionalOnlineFiles":"N","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":94438,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5113/","linkFileType":{"id":5,"text":"html"}},{"id":116473,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5113.gif"}],"scale":"24000","datum":"NAD1983","country":"United States;Canada","state":"Vermont","otherGeospatial":"Huntington River;Mettawee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.5,42.5 ], [ -74.5,45.5 ], [ -71.5,45.5 ], [ -71.5,42.5 ], [ -74.5,42.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a15e4b07f02db60301e","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matthews, Leslie J.","contributorId":61945,"corporation":false,"usgs":true,"family":"Matthews","given":"Leslie J.","affiliations":[],"preferred":false,"id":353309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353307,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70154944,"text":"70154944 - 2011 - Catfish science: Status and trends in the 21st century","interactions":[],"lastModifiedDate":"2017-06-05T10:24:59","indexId":"70154944","displayToPublicDate":"2011-10-25T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Catfish science: Status and trends in the 21st century","docAbstract":"<p>Catfish science, the study of the fish order Siluriformes, is a diverse and expanding field in terms of advances and breadth of topics. We compiled literature from primary fisheries journals as an index of interest and advances in catfish science to examine temporal trends in the field. The number of catfish scientific publications varied over the past century with strong peaks during 1975–1979 and 2005–2010, which may be the result of interactive scientific and societal influences. Catfish biology was the predominant publication topic until the late 1990s, when ecology, techniques, and management publications became more prevalent. Articles on catfish ecology were most numerous in both the first and second international catfish symposia, but publications on techniques and conservation were more numerous in the second catfish symposium than the first. We summarize the state of knowledge, recent advances, and areas for future attention among topics in catfish science, including sampling and aging techniques, population dynamics, ecology, fisheries management, species diversity, nonnative catfish, and human dimensions, with an emphasis on the gains in this second symposium. Areas that we expect to be pursued in the future are development of new techniques and validation of existing methods; expansion of research to less-studied catfish species; broadening temporal, spatial, and organizational scales; interdisciplinary approaches; and research on societal views and constituent demands. Meeting these challenges will require scientists to span beyond their professional comfort zones to effectively reach higher standards. We look forward to the coming decade and the many advances in the conservation, ecology, and management of catfish that will be shared.</p>","conferenceTitle":"American Fisheries Society 141st Annual Meeting","conferenceDate":"September 4-8, 2011","conferenceLocation":"Seattle, WA","language":"English","publisher":"American Fisheries Society","usgsCitation":"Kwak, T.J., Porath, M.T., Michaletz, P.H., and Travnichek, V.H., 2011, Catfish science: Status and trends in the 21st century, American Fisheries Society 141st Annual Meeting, v. 77, Seattle, WA, September 4-8, 2011, p. 755-780.","productDescription":"26 p.","startPage":"755","endPage":"780","ipdsId":"IP-031546","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":342077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59366dade4b0f6c2d0d7d64a","contributors":{"authors":[{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Porath, Mark T.","contributorId":28846,"corporation":false,"usgs":true,"family":"Porath","given":"Mark","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":697042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michaletz, Paul H.","contributorId":111870,"corporation":false,"usgs":true,"family":"Michaletz","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":697043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Travnichek, Vincent H.","contributorId":111523,"corporation":false,"usgs":true,"family":"Travnichek","given":"Vincent","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":697044,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005807,"text":"ofr20111264 - 2011 - Audiomagnetotelluric data, Taos Plateau Volcanic Field, New Mexico","interactions":[],"lastModifiedDate":"2012-02-10T00:12:00","indexId":"ofr20111264","displayToPublicDate":"2011-10-24T00:00:00","publicationYear":"2011","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":"2011-1264","title":"Audiomagnetotelluric data, Taos Plateau Volcanic Field, New Mexico","docAbstract":"The U.S. Geological Survey is conducting a series of multidisciplinary studies of the San Luis Basin as part of the Geologic framework of the Rio Grande Basins project. Detailed geologic mapping, high-resolution airborne magnetic surveys, gravity surveys, audiomagnetotelluric surveys, and hydrologic and lithologic data are being used to better understand the aquifers. This report describes a regional east-west audiomagnetotelluric sounding profile acquired in late July 2009 across the Taos Plateau Volcanic Field. No interpretation of the data is included.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111264","usgsCitation":"Ailes, C.E., and Rodriguez, B.D., 2011, Audiomagnetotelluric data, Taos Plateau Volcanic Field, New Mexico: U.S. Geological Survey Open-File Report 2011-1264, iv, 8 p.; Appendix, https://doi.org/10.3133/ofr20111264.","productDescription":"iv, 8 p.; Appendix","startPage":"i","endPage":"65","numberOfPages":"69","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-07-01","temporalEnd":"2009-07-31","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":438824,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72F7MQ7","text":"USGS data release","linkHelpText":"Audiomagnetotelluric sounding data, stations 1-9, Taos Plateau Volcanic Field, New Mexico, 2009"},{"id":94434,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1264/","linkFileType":{"id":5,"text":"html"}},{"id":116355,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1264.png"}],"country":"United States","state":"New Mexico","otherGeospatial":"Taos Plateau Volcanic Field","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106,36.6175 ], [ -106,36.8675 ], [ -105.5,36.8675 ], [ -105.5,36.6175 ], [ -106,36.6175 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db668132","contributors":{"authors":[{"text":"Ailes, Chad E. cailes@usgs.gov","contributorId":3995,"corporation":false,"usgs":true,"family":"Ailes","given":"Chad","email":"cailes@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":353285,"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":353284,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005806,"text":"sir20115157 - 2011 - Streamflow, groundwater hydrology, and water quality in the upper Coleto Creek watershed in southeast Texas, 2009&ndash;10","interactions":[],"lastModifiedDate":"2016-08-11T15:19:59","indexId":"sir20115157","displayToPublicDate":"2011-10-24T00:00:00","publicationYear":"2011","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":"2011-5157","title":"Streamflow, groundwater hydrology, and water quality in the upper Coleto Creek watershed in southeast Texas, 2009&ndash;10","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Goliad County Groundwater Conservation District, Victoria County Groundwater Conservation District, Pecan Valley Groundwater Conservation District, Guadalupe-Blanco River Authority, and San Antonio River Authority, did a study to examine the hydrology and stream-aquifer interactions in the upper Coleto Creek watershed. Findings of the study will enhance the scientific understanding of the study-area hydrology and be used to support water-management decisions to help ensure protection of the Evangeline aquifer and surface-water resources in the study area. This report describes the results of streamflow measurements, groundwater-level measurements, and water quality (from both surface-water and groundwater sites) collected from three sampling events (July&ndash;August 2009, January 2010, and June 2010) designed to characterize groundwater (from the Evangeline aquifer) and surface water, and the interaction between them, in the upper Coleto Creek watershed upstream from Coleto Creek Reservoir in southeast Texas. This report also provides a baseline level of water quality for the upper Coleto Creek watershed. Three surface-water gain-loss surveys&mdash;July 29&ndash;30, 2009, January 11&ndash;13, 2010, and June 21&ndash;22, 2010&mdash;were done under differing hydrologic conditions to determine the locations and amounts of streamflow recharging or discharging from the Evangeline aquifer. During periods when flow in the reaches of the upper Coleto Creek watershed was common (such as June 2010, when 12 of 25 reaches were flowing) or probable (such as January 2010, when 22 of 25 reaches were flowing), most of the reaches appeared to be gaining (86 percent in January 2010 and 92 percent in June 2010); however, during drought conditions (July 2009), streamflow was negligible in the entire upper Coleto Creek watershed; streamflow was observed in only two reaches during this period, one that receives inflow directly from Audilet Spring and another reach immediately downstream from Audilet Spring. Water levels in the aquifer at this time declined to the point that the aquifer could no longer provide sufficient water to the streams to sustain flow. Groundwater-level altitudes were measured at as many as 33 different wells in the upper Coleto Creek watershed during three different survey events: August 4&ndash;7 and 12, 2009; January 12&ndash;14 and 22, 2010; and June 21&ndash;24, 2010. These data were used in conjunction with groundwater-level altitudes from three continuously monitored wells to generate potentiometric surface maps for each of the three sampling events to help characterize the groundwater hydrology of the Evangeline aquifer. The altitudes of potentiometric surface contours from all three sampling events are highest in the northeast part of the study area and lowest in the southwest part of the study area. Groundwater flow direction shifts from southeast to east across the watershed, roughly coinciding with the general flow direction of the main stem of Coleto Creek. Groundwater-level altitudes increased an average of 2.35 inches between the first and third sampling events as drought conditions in summer 2009 were followed by consistent rains the subsequent fall and winter, an indication that the aquifer responds relatively quickly to both the absence and relative abundance of precipitation. A total of 44 water-quality samples were collected at 21 different sites over the course of the three sampling events (August 4&ndash;7, 2009, January 12&ndash;14, 2010, and June 21&ndash;24, 2010). In most cases, samples from each site were analyzed for the following constituents: dissolved solids, major ions, alkalinity, nutrients, trace elements, and stable isotopes (hydrogen, oxygen, and strontium). Major-ion compositions were relatively consistent among most of the samples from the upper Coleto Creek watershed (generally calcium bicarbonate waters, with chloride often making a major contribution). Of the 23 trace elements that were analyzed in water samples as part of this study, only arsenic (in two samples) and manganese (in seven samples) had concentrations that exceeded public drinking-water standards or guidelines. At 3 of the 19 sites sampled&mdash;State wells 79-06-411, 79-14-204, and Audilet Spring&mdash;nitrate concentrations exceeded the threshold (2.0 milligrams per liter) associated with anthropogenic contributions. The majority of the water samples (36 out of 44) that were analyzed for stable isotopes of hydrogen and oxygen during the three sampling events plotted in a relatively tight cluster centered near the global meteoric water line. The eight remaining samples, which include the four surface-water samples collected in June 2010, the sample collected from Coleto Creek Reservoir in January 2010, and all three samples collected at State well 79-15-904, deviate from the global meteoric water line in a way that indicates evaporative losses. The isotopic signatures of the three samples collected at State well 79-15-904, when taken in conjunction with its proximity to Coleto Creek Reservoir, indicate that there is likely a hydraulic connection between the two. When all of the sites are examined as a whole, there is a general pattern in strontium concentrations across the entire watershed that indicates that both the surface-water and groundwater samples derive from a single source (the Evangeline aquifer) with relatively uniform water-rock interactions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115157","collaboration":"In cooperation with the Goliad County Groundwater Conservation District, the Victoria County Groundwater Conservation District, the Pecan Valley Groundwater Conservation District, the Guadalupe-Blanco River Authority, and the San Antonio River Authority","usgsCitation":"Braun, C.L., and Lambert, R.B., 2011, Streamflow, groundwater hydrology, and water quality in the upper Coleto Creek watershed in southeast Texas, 2009&ndash;10: U.S. Geological Survey Scientific Investigations Report 2011-5157, vi, 46 p.; Appendices, https://doi.org/10.3133/sir20115157.","productDescription":"vi, 46 p.; Appendices","startPage":"i","endPage":"53","numberOfPages":"59","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-07-01","temporalEnd":"2010-06-30","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116354,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5157.jpg"},{"id":94433,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5157/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 14","datum":"NAD83","country":"United States","state":"Texas","otherGeospatial":"Upper Coleto Creek Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.7,28.666666666666668 ], [ -97.7,29.116666666666667 ], [ -97,29.116666666666667 ], [ -97,28.666666666666668 ], [ -97.7,28.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4cbd","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambert, Rebecca B. 0000-0002-0611-1591 blambert@usgs.gov","orcid":"https://orcid.org/0000-0002-0611-1591","contributorId":1135,"corporation":false,"usgs":true,"family":"Lambert","given":"Rebecca","email":"blambert@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005808,"text":"fs20113103 - 2011 - Volunteer map data collection at the USGS","interactions":[],"lastModifiedDate":"2012-02-02T00:15:57","indexId":"fs20113103","displayToPublicDate":"2011-10-24T00:00:00","publicationYear":"2011","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":"2011-3103","title":"Volunteer map data collection at the USGS","docAbstract":"Since 1994, citizen volunteers have helped the U.S. Geological Survey (USGS) improve its topographic maps. Through the Earth Science Corps program, citizens were able to \"adopt a quad\" and collect new information and update existing map features. Until its conclusion in 2001, as many as 300 volunteers annotated paper maps which were incorporated into the USGS topographic-map revision process.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113103","usgsCitation":"Eric, B.W., Poore, B.S., Caro, H.K., and Matthews, G.D., 2011, Volunteer map data collection at the USGS: U.S. Geological Survey Fact Sheet 2011-3103, 2 p., https://doi.org/10.3133/fs20113103.","productDescription":"2 p.","startPage":"1","endPage":"2","numberOfPages":"2","costCenters":[{"id":425,"text":"National Geospatial Technical Operations Center","active":false,"usgs":true}],"links":[{"id":116506,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3103.gif"},{"id":94435,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3103/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49a1e4b07f02db5be0dd","contributors":{"authors":[{"text":"Eric, B. Wolf","contributorId":30347,"corporation":false,"usgs":true,"family":"Eric","given":"B.","email":"","middleInitial":"Wolf","affiliations":[],"preferred":false,"id":353288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poore, Barbara S. bspoore@usgs.gov","contributorId":2541,"corporation":false,"usgs":true,"family":"Poore","given":"Barbara","email":"bspoore@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":353286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caro, Holly K.","contributorId":59548,"corporation":false,"usgs":true,"family":"Caro","given":"Holly","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":353289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matthews, Greg D. 0000-0002-5287-3888 gdmatthews@usgs.gov","orcid":"https://orcid.org/0000-0002-5287-3888","contributorId":4922,"corporation":false,"usgs":true,"family":"Matthews","given":"Greg","email":"gdmatthews@usgs.gov","middleInitial":"D.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":353287,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70129410,"text":"70129410 - 2011 - Results and evaluation of a survey to estimate Pacific walrus population size, 2006","interactions":[],"lastModifiedDate":"2018-06-16T17:51:24","indexId":"70129410","displayToPublicDate":"2011-10-22T09:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Results and evaluation of a survey to estimate Pacific walrus population size, 2006","docAbstract":"In spring 2006, we conducted a collaborative U.S.-Russia survey to estimate abundance of the Pacific walrus (<i>Odobenus rosmarus divergens</i>).  The Bering Sea was partitioned into survey blocks, and a systematic random sample of transects within a subset of the blocks was surveyed with airborne thermal scanners using standard strip-transect methodology.  Counts of walruses in photographed groups were used to model the relation between thermal signatures and the number of walruses in groups, which was used to estimate the number of walruses in groups that were detected by the scanner but not photographed.  We also modeled the probability of thermally detecting various-sized walrus groups to estimate the number of walruses in groups undetected by the scanner.  We used data from radio-tagged walruses to adjust on-ice estimates to account for walruses in the water during the survey.  The estimated area of available habitat averaged 668,000 km<sup>2</sup> and the area of surveyed blocks was 318,204 km<sup>2</sup>.  The number of Pacific walruses within the surveyed area was estimated at 129,000 with 95% confidence limits of 55,000 to 507,000 individuals.  This value can be used by managers as a minimum estimate of the total population size.","language":"English","publisher":"Society for Marine Mammalogy","doi":"10.1111/j.1748-7692.2010.00419.x","usgsCitation":"Speckman, S.G., Chernook, V.I., Burn, D., Udevitz, M.S., Kochnev, A.A., Vasilev, A., Jay, C.V., Lisovsky, A., Fischbach, A.S., and Benter, R., 2011, Results and evaluation of a survey to estimate Pacific walrus population size, 2006: Marine Mammal Science, v. 27, no. 3, p. 514-553, https://doi.org/10.1111/j.1748-7692.2010.00419.x.","productDescription":"40 p.","startPage":"514","endPage":"553","ipdsId":"IP-017489","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":295601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","otherGeospatial":"Bering Sea","volume":"27","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-09-30","publicationStatus":"PW","scienceBaseUri":"5448c71fe4b0f888a81b87b0","contributors":{"authors":[{"text":"Speckman, Suzann G.","contributorId":83044,"corporation":false,"usgs":true,"family":"Speckman","given":"Suzann","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":503696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chernook, Vladimir I.","contributorId":56988,"corporation":false,"usgs":true,"family":"Chernook","given":"Vladimir","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":503694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burn, Douglas M.","contributorId":65022,"corporation":false,"usgs":true,"family":"Burn","given":"Douglas M.","affiliations":[],"preferred":false,"id":503695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":503688,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kochnev, Anatoly A.","contributorId":50096,"corporation":false,"usgs":true,"family":"Kochnev","given":"Anatoly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":503693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vasilev, Alexander","contributorId":19891,"corporation":false,"usgs":true,"family":"Vasilev","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":503690,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":503689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lisovsky, Alexander","contributorId":47313,"corporation":false,"usgs":true,"family":"Lisovsky","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":503692,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":503687,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Benter, R. Bradley","contributorId":21482,"corporation":false,"usgs":true,"family":"Benter","given":"R. Bradley","affiliations":[],"preferred":false,"id":503691,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70032387,"text":"70032387 - 2011 - Global climate change implications for coastal and offshore oil and gas development","interactions":[],"lastModifiedDate":"2021-02-04T19:36:55.173941","indexId":"70032387","displayToPublicDate":"2011-10-22T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1510,"text":"Energy Policy","active":true,"publicationSubtype":{"id":10}},"title":"Global climate change implications for coastal and offshore oil and gas development","docAbstract":"<p><span>The discussion and debate about climate change and oil and gas resource development has generally focused on how fossil fuel use affects the Earth's climate. This paper explores how the changing climate is likely to affect oil and gas operations in low-lying coastal areas and the outer continental shelf. Oil and gas production in these regions comprises a large sector of the economies of many energy producing nations. Six key climate change drivers in coastal and marine regions are characterized with respect to oil and gas development: changes in carbon dioxide levels and ocean acidity, air and water temperature, precipitation patterns, the rate of sea level rise, storm intensity, and wave regime. These key drivers have the potential to independently and cumulatively affect coastal and offshore oil and gas exploration, production, and transportation, and several impacts of climate change have already been observed in North America.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.enpol.2011.09.016","usgsCitation":"Burkett, V.R., 2011, Global climate change implications for coastal and offshore oil and gas development: Energy Policy, v. 39, no. 12, p. 7719-7725, https://doi.org/10.1016/j.enpol.2011.09.016.","productDescription":"7 p.","startPage":"7719","endPage":"7725","numberOfPages":"7","ipdsId":"IP-024410","costCenters":[],"links":[{"id":241439,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a293fe4b0c8380cd5a7b5","contributors":{"authors":[{"text":"Burkett, Virginia R. 0000-0003-4746-2862","orcid":"https://orcid.org/0000-0003-4746-2862","contributorId":80229,"corporation":false,"usgs":true,"family":"Burkett","given":"Virginia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":435912,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005793,"text":"fs20113104 - 2011 - Application of the SPARROW watershed model to describe nutrient sources and transport in the Missouri River Basin","interactions":[],"lastModifiedDate":"2012-03-02T17:16:08","indexId":"fs20113104","displayToPublicDate":"2011-10-21T00:00:00","publicationYear":"2011","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":"2011-3104","title":"Application of the SPARROW watershed model to describe nutrient sources and transport in the Missouri River Basin","docAbstract":"Spatially Referenced Regression On Watershed attributes (SPARROW) models were developed to provide spatially explicit information on local and regional total nitrogen and total phosphorus sources and transport in the Missouri River Basin. Model results provide estimates of the relative contributions from various nutrient sources and delivery factors. The models also describe instream decay and reservoir and lake attenuation of nutrients. Results aid in the prioritization of nutrient-reduction strategies by identifying major sources and delivery factors contributing to instream nutrient loads and stream reaches carrying the largest nutrient loads in the Missouri River Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113104","usgsCitation":"Brown, J., 2011, Application of the SPARROW watershed model to describe nutrient sources and transport in the Missouri River Basin: U.S. Geological Survey Fact Sheet 2011-3104, 4 p., https://doi.org/10.3133/fs20113104.","productDescription":"4 p.","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3104.gif"},{"id":94429,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3104/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Missouri River Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a69d","contributors":{"authors":[{"text":"Brown, Juliane B.","contributorId":74040,"corporation":false,"usgs":true,"family":"Brown","given":"Juliane B.","affiliations":[],"preferred":false,"id":353244,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005794,"text":"fs20113113 - 2011 - In-place oil shale resources underlying Federal lands in the Green River and Washakie Basins, southwestern Wyoming","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"fs20113113","displayToPublicDate":"2011-10-21T00:00:00","publicationYear":"2011","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":"2011-3113","title":"In-place oil shale resources underlying Federal lands in the Green River and Washakie Basins, southwestern Wyoming","docAbstract":"Using a geologic-based assessment methodology, the U.S. Geological Survey estimated an in-place oil shale resource of 906 billion barrels under Federal mineral rights, or 62 percent of the total oil shale in place, in the Green River and Washakie Basins, Wyoming. More than 67 percent of the total oil shale in-place resource, or 969 billion barrels, is under Federal surface management.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113113","collaboration":"Oil Shale Assessment Project","usgsCitation":"Mercier, T.J., Johnson, R.C., and Brownfield, M.E., 2011, In-place oil shale resources underlying Federal lands in the Green River and Washakie Basins, southwestern Wyoming: U.S. Geological Survey Fact Sheet 2011-3113, 2 p., https://doi.org/10.3133/fs20113113.","productDescription":"2 p.","startPage":"1","endPage":"2","numberOfPages":"2","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":116504,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3113.gif"},{"id":94430,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3113/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","otherGeospatial":"Green River Basin;Washakie Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,41 ], [ -111,43 ], [ -107.41666666666667,43 ], [ -107.41666666666667,41 ], [ -111,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a91e4b07f02db656b07","contributors":{"authors":[{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Ronald C. 0000-0002-6197-5165 rcjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-6197-5165","contributorId":1550,"corporation":false,"usgs":true,"family":"Johnson","given":"Ronald","email":"rcjohnson@usgs.gov","middleInitial":"C.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353245,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005796,"text":"sir20115158 - 2011 - Geophysical bed sediment characterization of the Androscoggin River from the former Chlor-Alkali Facility Superfund Site, Berlin, New Hampshire, to the state border with Maine, August 2009","interactions":[],"lastModifiedDate":"2019-07-19T09:08:37","indexId":"sir20115158","displayToPublicDate":"2011-10-21T00:00:00","publicationYear":"2011","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":"2011-5158","title":"Geophysical bed sediment characterization of the Androscoggin River from the former Chlor-Alkali Facility Superfund Site, Berlin, New Hampshire, to the state border with Maine, August 2009","docAbstract":"The former Chlor-Alkali Facility in Berlin, New Hampshire, was listed on the U.S. Environmental Protection Agency National Priorities List in 2005 as a Superfund site. The Chlor-Alkali Facility lies on the east bank of the Androscoggin River. Elemental mercury currently discharges from that bank into the Androscoggin River. The nature, extent, and the speciation of mercury and the production of methyl mercury contamination in the adjacent Androscoggin River is the subject of continuing investigations. The U.S. Geological Survey, in cooperation with Region I of the U.S. Environmental Protection Agency, used geophysical methods to determine the distribution, thickness, and physical properties of sediments in the Androscoggin River channel at a small area of an upstream reference reach and downstream from the site to the New Hampshire&ndash;Maine State border. Separate reaches of the Androscoggin River in the study area were surveyed with surface geophysical methods including ground-penetrating radar and step-frequency electromagnetics. Results were processed to assess sediment characteristics including grain size, electrical conductivity, and pore-water specific conductance. Specific conductance measured during surface- and pore-water sampling was used to help interpret the results of the geophysical surveys. The electrical resistivity of sediment samples was measured in the laboratory with intact pore water for comparison with survey results. In some instances, anthropogenic features and land uses, such as roads and power lines affected the detection of riverbed properties using geophysical methods; when this occurred, the data were removed. Through combining results, detailed riverbed sediment characterizations were made. Results from ground-penetrating radar surveys were used to image and measure the depth to the riverbed, depth to buried riverbeds, riverbed thickness and to interpret material-type variations in terms of relative grain size. Fifty two percent of the riverbed in the study area was covered with gravel and finer sediments. The electrically resistive river water and sediment in this study area were conducive to the penetration of the ground-penetrating radar and step-frequency electromagnetic signals and allowed for effective sediment characterization by geophysical methods. The reach between the former Chlor-Alkali Facility and the Riverside Dam, had small areas of fine sediment (estimated 11 percent of riverbed area), found on the upstream left bank and the downstream right bank, with an electromagnetic conductivity (31.4 millisiemens per meter (mS/m) maximum) that was higher than the upstream reference reach. The greatest electromagnetic conductivity (195 mS/m), pore-water specific conductance (324 mS/m) and lab measured sediment conductivity of (76.8 mS/m, measured with a direct-current resistivity test box) in the study were measured approximately 1 mile (mi) downstream of the site from a sandbar on the left bank. Reaches adjacent to and within 2 mi downstream from the site had elevated electromagnetic conductivity despite having lower estimated percentages of riverbed area covered in sediment (11, 25, and 61 percent, respectively) than the reference reach (97). Typically finer grained sediment with similar mineralogy will be more conductive. The Shelburne Reservoir is approximately 8 mi downstream from the site had the second greatest pore-water specific conductance measured, 45.8 mS/m. Many of the locations with the largest step-frequency electromagnetic values have not been sampled for pore water and sediment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115158","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Degnan, J.R., Teeple, A., Johnston, C.M., Marvin-DiPasquale, M.C., and Luce, D., 2011, Geophysical bed sediment characterization of the Androscoggin River from the former Chlor-Alkali Facility Superfund Site, Berlin, New Hampshire, to the state border with Maine, August 2009: U.S. Geological Survey Scientific Investigations Report 2011-5158, vii, 27 p., https://doi.org/10.3133/sir20115158.","productDescription":"vii, 27 p.","startPage":"i","endPage":"27","numberOfPages":"34","additionalOnlineFiles":"N","temporalStart":"2009-08-01","temporalEnd":"2009-08-31","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":116503,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5158.gif"},{"id":94431,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5158/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Hampshire","otherGeospatial":"Androscoggin River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.23416666666667,44.48416666666667 ], [ -71.23416666666667,44.350833333333334 ], [ -70.98333333333333,44.350833333333334 ], [ -70.98333333333333,44.48416666666667 ], [ -71.23416666666667,44.48416666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a824c","contributors":{"authors":[{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew   0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew  ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnston, Craig M. cmjohnst@usgs.gov","contributorId":1814,"corporation":false,"usgs":true,"family":"Johnston","given":"Craig","email":"cmjohnst@usgs.gov","middleInitial":"M.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":353250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luce, Darryl","contributorId":72520,"corporation":false,"usgs":true,"family":"Luce","given":"Darryl","email":"","affiliations":[],"preferred":false,"id":353252,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005798,"text":"ofr20111113 - 2011 - Summary of oceanographic and water&ndash;quality measurements in West Falmouth Harbor and Buzzards Bay, Massachusetts, 2009&ndash;2010","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ofr20111113","displayToPublicDate":"2011-10-21T00:00:00","publicationYear":"2011","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":"2011-1113","title":"Summary of oceanographic and water&ndash;quality measurements in West Falmouth Harbor and Buzzards Bay, Massachusetts, 2009&ndash;2010","docAbstract":"This data report presents oceanographic and water-quality observations made at six locations in West Falmouth Harbor and Buzzards Bay, Massachusetts, from August 2009 to September 2010. Both Buzzards Bay and West Falmouth Harbor are estuarine embayments; the input of freshwater on the eastern margin of Buzzards Bay adjacent to Cape Cod and West Falmouth Harbor is largely due to groundwater. In West Falmouth Harbor, the groundwater that seeps into the harbor is characterized by relatively high levels of nitrate. This high nitrate load has modified the ecology of the harbor (Howes and others, 2006) and may be a significant source of nitrate to Buzzards Bay during seasons with low biological nitrate uptake. The U.S. Geological Survey undertook these measurements to improve understanding of circulation, residence time, and water quality in the harbor and bay. We set up and monitored multiple sites in both Buzzards Bay and West Falmouth Harbor, measuring depth, water velocity,salinity, pH, dissolved oxygen, chlorophyll-a, and nitrate concentration. In this report we present the processed time-series data at these locations and provide access to the data and metadata. The results will be used to understand circulation mechanisms and verify numerical models of hydrodynamics and biogeochemistry.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111113","usgsCitation":"Ganju, N., Dickhudt, P., Thomas, J., Borden, J., Sherwood, C.R., Montgomery, E., Twomey, E.R., and Martini, M.A., 2011, Summary of oceanographic and water&ndash;quality measurements in West Falmouth Harbor and Buzzards Bay, Massachusetts, 2009&ndash;2010: U.S. Geological Survey Open-File Report 2011-1113, HTML Document, https://doi.org/10.3133/ofr20111113.","productDescription":"HTML Document","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116505,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1113.gif"},{"id":94432,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1113/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","otherGeospatial":"West Falmouth Harbor;Buzzards Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.01666666666667,14.066666666666666 ], [ -71.01666666666667,41.13333333333333 ], [ -70.06666666666666,41.13333333333333 ], [ -70.06666666666666,14.066666666666666 ], [ -71.01666666666667,14.066666666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b02e4b07f02db698c5b","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":353260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickhudt, Patrick J.","contributorId":48302,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick J.","affiliations":[],"preferred":false,"id":353258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Jennifer A.","contributorId":16153,"corporation":false,"usgs":true,"family":"Thomas","given":"Jennifer A.","affiliations":[],"preferred":false,"id":353256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borden, Jonathan 0000-0001-6844-3340 jborden@usgs.gov","orcid":"https://orcid.org/0000-0001-6844-3340","contributorId":3098,"corporation":false,"usgs":true,"family":"Borden","given":"Jonathan","email":"jborden@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Montgomery, Ellyn T.","contributorId":78038,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","affiliations":[],"preferred":false,"id":353259,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Twomey, Erin R.","contributorId":44860,"corporation":false,"usgs":true,"family":"Twomey","given":"Erin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":353257,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353253,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70198344,"text":"70198344 - 2011 - The role of dyking and fault control in the rapid onset of eruption at Chaitén Volcano, Chile","interactions":[],"lastModifiedDate":"2019-12-22T14:12:56","indexId":"70198344","displayToPublicDate":"2011-10-20T08:45:26","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"The role of dyking and fault control in the rapid onset of eruption at Chaitén Volcano, Chile","docAbstract":"<p><span>Rhyolite is the most viscous of liquid magmas, so it was surprising that on 2 May 2008 at Chaitén Volcano, located in Chile’s southern Andean volcanic zone, rhyolitic magma migrated from more than 5 km depth in less than 4 hours </span><span>and erupted explosively with only two days of detected precursory seismic activity</span><sup></sup><span>. The last major rhyolite eruption before that at Chaitén was the largest volcanic eruption in the twentieth century, at Novarupta volcano, Alaska, in 1912. Because of the historically rare and explosive nature of rhyolite eruptions and because of the surprisingly short warning before the eruption of the Chaitén volcano, any information about the workings of the magmatic system at Chaitén, and rhyolitic systems in general, is important from both the scientific and hazard perspectives. Here we present surface deformation data related to the Chaitén eruption based on radar interferometry observations from the Japan Aerospace Exploration Agency (JAXA) DAICHI (ALOS) satellite. The data on this explosive rhyolite eruption indicate that the rapid ascent of rhyolite occurred through dyking and that melt segregation and magma storage were controlled by existing faults.</span></p>","language":"English","publisher":"Springer","doi":"10.1038/nature10541","usgsCitation":"Wicks, C., Carlos de la Llera, J., Lara, L.E., and Lowenstern, J.B., 2011, The role of dyking and fault control in the rapid onset of eruption at Chaitén Volcano, Chile: Nature, v. 478, p. 374-377, https://doi.org/10.1038/nature10541.","productDescription":"4 p.","startPage":"374","endPage":"377","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":356177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Chaitén Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.01513671875,\n              -43.20117168127244\n            ],\n            [\n              -71.773681640625,\n              -43.20117168127244\n            ],\n            [\n              -71.773681640625,\n              -42.191899024471915\n            ],\n            [\n              -73.01513671875,\n              -42.191899024471915\n            ],\n            [\n              -73.01513671875,\n              -43.20117168127244\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"478","noUsgsAuthors":false,"publicationDate":"2011-10-19","publicationStatus":"PW","scienceBaseUri":"5b98b33ae4b0702d0e8448a3","contributors":{"authors":[{"text":"Wicks, Charles W. Jr. cwicks@usgs.gov","contributorId":3476,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles W.","suffix":"Jr.","email":"cwicks@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":741158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlos de la Llera, J.","contributorId":94521,"corporation":false,"usgs":true,"family":"Carlos de la Llera","given":"J.","email":"","affiliations":[],"preferred":false,"id":741159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lara, Luis E.","contributorId":40500,"corporation":false,"usgs":true,"family":"Lara","given":"Luis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":741160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741161,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005547,"text":"ofr20111155 - 2011 - PRISM: Processing routines in IDL for spectroscopic measurements (installation manual and user's guide, version 1.0)","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"ofr20111155","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","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":"2011-1155","title":"PRISM: Processing routines in IDL for spectroscopic measurements (installation manual and user's guide, version 1.0)","docAbstract":"This report describes procedures for installing and using the U.S. Geological Survey Processing Routines in IDL for Spectroscopic Measurements (PRISM) software. PRISM provides a framework to conduct spectroscopic analysis of measurements made using laboratory, field, airborne, and space-based spectrometers. Using PRISM functions, the user can compare the spectra of materials of unknown composition with reference spectra of known materials. This spectroscopic analysis allows the composition of the material to be identified and characterized. Among its other functions, PRISM contains routines for the storage of spectra in database files, import/export of ENVI spectral libraries, importation of field spectra, correction of spectra to absolute reflectance, arithmetic operations on spectra, interactive continuum removal and comparison of spectral features, correction of imaging spectrometer data to ground-calibrated reflectance, and identification and mapping of materials using spectral feature-based analysis of reflectance data. This report provides step-by-step instructions for installing the PRISM software and running its functions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111155","usgsCitation":"Kokaly, R., 2011, PRISM: Processing routines in IDL for spectroscopic measurements (installation manual and user's guide, version 1.0): U.S. Geological Survey Open-File Report 2011-1155, xiv, 432 p.; PRISM Software; PRISM Support Files, https://doi.org/10.3133/ofr20111155.","productDescription":"xiv, 432 p.; PRISM Software; PRISM Support Files","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":116471,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1155.gif"},{"id":94210,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1155","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689ea7","contributors":{"authors":[{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":352764,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005745,"text":"sir20115147 - 2011 - Proceedings of the third USGS modeling conference, June 7-11, 2010, Broomfield, Colorado-Understanding and predicting for a changing world","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"sir20115147","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","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":"2011-5147","title":"Proceedings of the third USGS modeling conference, June 7-11, 2010, Broomfield, Colorado-Understanding and predicting for a changing world","docAbstract":"The Third USGS Modeling Conference was held June 7th-11, 2010, in Broomfield, Colorado. The conference focused on the development and application of analytical and theoretical models and data availability that support managing the Nation's resources and help protect lives and property. Participants at the conference included scientists and managers from Department of the Interior (DOI) Bureaus; national and international Federal, State, and local agencies; academic institutions; and nongovernmental organizations. The conference was organized according to DOI priorities and the strategic directions of the USGS Science Strategy; the following themes were emphasized: (1) Understanding Ecosystems and Restoring America's Treasured Landscapes; (2) Climate Change and Impact; (3) New Energy Frontier and Minerals for America; (4) A National Hazards, Risk, and Resilience Assessment Program; (5) Role of Environment and Wildlife in Human Health; (6) A Water Census of the United States; and (7) New Methods of Investigation and Discovery. The conference theme-\"Understanding and Predicting for a Changing World\"-focused on the following goals: advance development and application of models; provide tools that address management issues; present state-of-the-art models ranging from individual phenomena to integrated systems; and foster a working community among scientists and managers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115147","usgsCitation":"Brady, S.R., 2011, Proceedings of the third USGS modeling conference, June 7-11, 2010, Broomfield, Colorado-Understanding and predicting for a changing world: U.S. Geological Survey Scientific Investigations Report 2011-5147, x, 80 p.; Appendices, https://doi.org/10.3133/sir20115147.","productDescription":"x, 80 p.; Appendices","temporalStart":"2010-06-07","temporalEnd":"2010-06-11","costCenters":[{"id":261,"text":"Energy and Minerals and Environmental Health","active":false,"usgs":true}],"links":[{"id":116470,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5147.gif"},{"id":94427,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5147/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db660353","contributors":{"authors":[{"text":"Brady, Shailaja R. srbrady@usgs.gov","contributorId":1762,"corporation":false,"usgs":true,"family":"Brady","given":"Shailaja","email":"srbrady@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":353150,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70155351,"text":"70155351 - 2011 - Seasonal movements of non-native lake trout in a connected lake and river system","interactions":[],"lastModifiedDate":"2019-12-11T09:23:52","indexId":"70155351","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal movements of non-native lake trout in a connected lake and river system","docAbstract":"<p><span>Non-native lake trout,&nbsp;</span><i>Salvelinus namaycush</i><span>&nbsp;(Walbaum), threaten native salmonid populations in the western United States. Effective management of lake trout requires understanding movements within connected lake and river systems. This study determined the seasonal movements of subadult lake trout in the Flathead River upstream of Flathead Lake, Montana, USA using radio telemetry. The spatiotemporal distribution of lake trout in the river was related to water temperature. Lake trout were detected in the river primarily during autumn, winter and spring, when water temperatures were cool. By contrast, fewer were detected when temperatures were warmest during summer and during high spring flows. Downriver movements to Flathead Lake occurred throughout autumn and winter when water temperature decreased below 5&nbsp;&deg;C, and in late spring as water temperature rose towards 15&nbsp;&deg;C and river discharge declined following spring runoff. Upriver movements occurred primarily in October, which coincided with migrations of prey fishes. These results suggest that lake trout are capable of moving throughout connected river and lake systems (up to 230&nbsp;km) and that warm water temperatures function as an impediment to occupancy of the river during summer. Controlling source populations and maintaining natural water temperatures may be effective management strategies for reducing the spread of non-native lake trout.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2400.2011.00821.x","usgsCitation":"Muhlfeld, C.C., Giersch, J., and Marotz, B., 2011, Seasonal movements of non-native lake trout in a connected lake and river system: Fisheries Management and Ecology, v. 19, no. 3, p. 224-232, https://doi.org/10.1111/j.1365-2400.2011.00821.x.","productDescription":"8 p.","startPage":"224","endPage":"232","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028535","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":306865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":4022,"corporation":false,"usgs":true,"family":"Giersch","given":"J. Joseph","email":"jgiersch@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":565539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marotz, Brian","contributorId":145860,"corporation":false,"usgs":false,"family":"Marotz","given":"Brian","email":"","affiliations":[{"id":16269,"text":"Montana Fish, Wildlife & Parks, Kalispell, Montana 59901 USA","active":true,"usgs":false}],"preferred":false,"id":565540,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70005790,"text":"sir20115150 - 2011 - Quantifying viruses and bacteria in wastewater&mdash;Results, interpretation methods, and quality control","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"sir20115150","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","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":"2011-5150","title":"Quantifying viruses and bacteria in wastewater&mdash;Results, interpretation methods, and quality control","docAbstract":"Membrane bioreactors (MBR), used for wastewater treatment in Ohio and elsewhere in the United States, have pore sizes small enough to theoretically reduce concentrations of protozoa and bacteria, but not viruses. Sampling for viruses in wastewater is seldom done and not required. Instead, the bacterial indicators Escherichia coli (E. coli) and fecal coliforms are the required microbial measures of effluents for wastewater-discharge permits. Information is needed on the effectiveness of MBRs in removing human enteric viruses from wastewaters, particularly as compared to conventional wastewater treatment before and after disinfection.\r\nA total of 73 regular and 28 quality-control (QC) samples were collected at three MBR and two conventional wastewater plants in Ohio during 23 regular and 3 QC sampling trips in 2008-10. Samples were collected at various stages in the treatment processes and analyzed for bacterial indicators E. coli, fecal coliforms, and enterococci by membrane filtration; somatic and F-specific coliphage by the single agar layer (SAL) method; adenovirus, enterovirus, norovirus GI and GII, rotavirus, and hepatitis A virus by molecular methods; and viruses by cell culture. While addressing the main objective of the study-comparing removal of viruses and bacterial indicators in MBR and conventional plants-it was realized that work was needed to identify data analysis and quantification methods for interpreting enteric virus and QC data. Therefore, methods for quantifying viruses, qualifying results, and applying QC data to interpretations are described in this report.\r\nDuring each regular sampling trip, samples were collected (1) before conventional or MBR treatment (post-preliminary), (2) after secondary or MBR treatment (post-secondary or post-MBR), (3) after tertiary treatment (one conventional plant only), and (4) after disinfection (post-disinfection). Glass-wool fiber filtration was used to concentrate enteric viruses from large volumes, and small volume grab samples were collected for direct-plating analyses for bacterial indicators and coliphage. After filtration, the viruses were eluted from the filter and further concentrated. The final concentrated sample volume (FCSV) was used for enteric virus analysis by use of two methods-cell culture and a molecular method, polymerase chain reaction (PCR). Quantitative PCR (qPCR) for DNA viruses and quantitative reverse-transcriptase PCR (qRT-PCR) for RNA viruses were used in this study.\r\nTo support data interpretations, the assay limit of detection (ALOD) was set for each virus assay and used to determine sample reporting limits (SRLs). For qPCR and qRT-PCR the ALOD was an estimated value because it was not established according to established method detection limit procedures. The SRLs were different for each sample because effective sample volumes (the volume of the original sample that was actually used in each analysis) were different for each sample. Effective sample volumes were much less than the original sample volumes because of reductions from processing steps and (or) from when dilutions were made to minimize the effects from PCR-inhibiting substances. Codes were used to further qualify the virus data and indicate the level of uncertainty associated with each measurement.\r\nQuality-control samples were used to support data interpretations. Field and laboratory blanks for bacteria, coliphage, and enteric viruses were all below detection, indicating that it was unlikely that samples were contaminated from equipment or processing procedures. The absolute value log differences (AVLDs) between concurrent replicate pairs were calculated to identify the variability associated with each measurement. For bacterial indicators and coliphage, the AVLD results indicated that concentrations &#60;10 colony-forming units or plaque-forming units per 100 mL can differ between replicates by as much as 1 log, whereas higher concentrations can differ by as much as 0.3 log. The AVLD results for viruses indicated that differences between replicates can be as great as 1.2 log genomic copies per liter, regardless of the concentration of virus. Relatively large differences in molecular results for viruses between replicate pairs were likely due to lack of precision for samples with small effective volumes.\r\nConcentrations of E. coli, fecal coliforms, enterococci, and somatic and F-specific coliphage in post-secondary and post-tertiary samples in conventional plants were higher than those in post-MBR samples. In post-MBR and post-secondary samples, concentrations of somatic coliphage were higher than F-specific coliphage. In post-disinfection samples from two MBR plants (the third MBR plant had operational issues) and the ultraviolet conventional plant, concentrations for all bacterial indicators and coliphage were near or below detection; from the chlorine conventional plant, concentrations in post-disinfection samples were in the single or double digits. All of the plants met the National Pollutant Discharge Elimination System required effluent limits established for fecal coliforms.\r\nNorovirus GII and hepatitis A virus were not detected in any samples, and rotavirus was detected in one sample but could not be quantified. Adenovirus was found in 100 percent, enterovirus in over one-half, and norovirus GI in about one-half of post-preliminary wastewater samples. Adenovirus and enterovirus were detected throughout the treatment processes, and norovirus GI was detected less often than the other two enteric viruses. Culturable viruses were detected in post-preliminary samples and in only two post-treatment samples from the plant with operational issues.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115150","collaboration":"Prepared in cooperation with Ohio Water Development Authority and City of Delphos, Ohio","usgsCitation":"Francy, D.S., Stelzer, E.A., Bushon, R.N., Brady, A., Mailot, B.E., Spencer, S., Borchardt, M., Elber, A.G., Riddell, K.R., and Gellner, T.M., 2011, Quantifying viruses and bacteria in wastewater&mdash;Results, interpretation methods, and quality control: U.S. Geological Survey Scientific Investigations Report 2011-5150, viii, 44 p., https://doi.org/10.3133/sir20115150.","productDescription":"viii, 44 p.","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":116502,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5150.jpg"},{"id":94428,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5150/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64b05f","contributors":{"authors":[{"text":"Francy, Donna S. 0000-0001-9229-3557 dsfrancy@usgs.gov","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":1853,"corporation":false,"usgs":true,"family":"Francy","given":"Donna","email":"dsfrancy@usgs.gov","middleInitial":"S.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bushon, Rebecca N. rnbushon@usgs.gov","contributorId":2304,"corporation":false,"usgs":true,"family":"Bushon","given":"Rebecca","email":"rnbushon@usgs.gov","middleInitial":"N.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Amie M. G.","contributorId":29774,"corporation":false,"usgs":true,"family":"Brady","given":"Amie M. G.","affiliations":[],"preferred":false,"id":353234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mailot, Brian E. bemailot@usgs.gov","contributorId":2569,"corporation":false,"usgs":true,"family":"Mailot","given":"Brian","email":"bemailot@usgs.gov","middleInitial":"E.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353232,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spencer, Susan K.","contributorId":39511,"corporation":false,"usgs":true,"family":"Spencer","given":"Susan K.","affiliations":[],"preferred":false,"id":353236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borchardt, Mark A.","contributorId":106255,"corporation":false,"usgs":true,"family":"Borchardt","given":"Mark A.","affiliations":[],"preferred":false,"id":353238,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Elber, Ashley G.","contributorId":38704,"corporation":false,"usgs":true,"family":"Elber","given":"Ashley","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":353235,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Riddell, Kimberly R.","contributorId":66836,"corporation":false,"usgs":true,"family":"Riddell","given":"Kimberly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":353237,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gellner, Terry M.","contributorId":29563,"corporation":false,"usgs":true,"family":"Gellner","given":"Terry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":353233,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70156802,"text":"70156802 - 2011 - Developing a regional canopy fuels assessment strategy using multi-scale lidar","interactions":[],"lastModifiedDate":"2017-04-25T16:30:43","indexId":"70156802","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Developing a regional canopy fuels assessment strategy using multi-scale lidar","docAbstract":"<p><span>Accurate assessments of canopy fuels are needed by fire scientists to understand fire behavior and to predict future fire occurrence. A key descriptor for canopy fuels is canopy bulk density (CBD). CBD is closely linked to the structure of the canopy; therefore, lidar measurements are particularly well suited to assessments of CBD. LANDFIRE scientists are exploring methods to integrate airborne and spaceborne lidar datasets into a national mapping effort. In this study, airborne lidar, spaceborne lidar, and field data are used to map CBD in the Yukon Flats Ecoregion, with the airborne lidar serving as a bridge between the field data and the spaceborne observations. The field-based CBD was positively correlated with airborne lidar observations (R2=0.78). Mapped values of CBD using the airborne lidar dataset were significantly correlated with spaceborne lidar observations when analyzed by forest type (R2=0.62, evergreen and R2=0.71, mixed). Though continued research is necessary to validate these results, they do support the feasibility of airborne and, most importantly, spaceborne lidar data for canopy fuels assessment.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of SilviLaser 2011, 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems, University of Tasmania, Australia, 16-20 October 2011","conferenceTitle":"SilviLaser 2011: 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems","conferenceDate":"October 16-20, 2011","conferenceLocation":"Hobart, Australia","language":"English","publisher":"Conference Secretariat","usgsCitation":"Peterson, B.E., and Nelson, K., 2011, Developing a regional canopy fuels assessment strategy using multi-scale lidar, <i>in</i> Proceedings of SilviLaser 2011, 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems, University of Tasmania, Australia, 16-20 October 2011, Hobart, Australia, October 16-20, 2011, p. 1-8.","productDescription":"8 p.","startPage":"1","endPage":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032199","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307673,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cabdirect.org/abstracts/20123184013.html;jsessionid=2A9EBB7BD755B5E2B3826298C971B69B;jsessionid=DEFDDB98C3791DFED8A609AC28CBDF1B"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon flats eco-region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -144.0966796875,\n              67.35678538806071\n            ],\n            [\n              -149.996337890625,\n              66.58321725728175\n            ],\n            [\n              -148.88671874999997,\n              65.49474141843486\n            ],\n            [\n              -142.88818359375,\n              66.31986144668052\n            ],\n            [\n              -144.0966796875,\n              67.35678538806071\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f63be4b0bc0bec0a1b3c","contributors":{"authors":[{"text":"Peterson, Birgit E. 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":3599,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":570597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":570598,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005785,"text":"70005785 - 2011 - Comment on \"Changes in climatic water balance drive downhill shifts in plant species' optimum elevations\"","interactions":[],"lastModifiedDate":"2021-05-21T16:20:06.945407","indexId":"70005785","displayToPublicDate":"2011-10-19T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Comment on \"Changes in climatic water balance drive downhill shifts in plant species' optimum elevations\"","docAbstract":"<p><span>Crimmins&nbsp;</span><i>et al</i><span>. (Reports, 21 January 2011, p. 324) attributed an apparent downward elevational shift of California plant species to a precipitation-induced decline in climatic water deficit. We show that the authors miscalculated deficit, that the apparent decline in species’ elevations is likely a consequence of geographic biases, and that unlike temperature changes, precipitation changes should not be expected to cause coordinated directional shifts in species’ elevations.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"Washington, D.C.","doi":"10.1126/science.1205740","usgsCitation":"Stephenson, N.L., and Das, A., 2011, Comment on \"Changes in climatic water balance drive downhill shifts in plant species' optimum elevations\": Science, v. 334, no. 6053, https://doi.org/10.1126/science.1205740.","productDescription":"1 p.","startPage":"177","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204245,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"334","issue":"6053","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae6bc","contributors":{"authors":[{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":353211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research 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,{"id":70005780,"text":"ds637 - 2011 - Alaska Geochemical Database (AGDB)-Geochemical data for rock, sediment, soil, mineral, and concentrate sample media","interactions":[],"lastModifiedDate":"2018-08-19T21:35:00","indexId":"ds637","displayToPublicDate":"2011-10-19T00:00:00","publicationYear":"2011","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":"637","title":"Alaska Geochemical Database (AGDB)-Geochemical data for rock, sediment, soil, mineral, and concentrate sample media","docAbstract":"The Alaska Geochemical Database (AGDB) was created and designed to compile and integrate geochemical data from Alaska in order to facilitate geologic mapping, petrologic studies, mineral resource assessments, definition of geochemical baseline values and statistics, environmental impact assessments, and studies in medical geology. This Microsoft Access database serves as a data archive in support of present and future Alaskan geologic and geochemical projects, and contains data tables describing historical and new quantitative and qualitative geochemical analyses. The analytical results were determined by 85 laboratory and field analytical methods on 264,095 rock, sediment, soil, mineral and heavy-mineral concentrate samples. Most samples were collected by U.S. Geological Survey (USGS) personnel and analyzed in USGS laboratories or, under contracts, in commercial analytical laboratories. These data represent analyses of samples collected as part of various USGS programs and projects from 1962 to 2009. In addition, mineralogical data from 18,138 nonmagnetic heavy mineral concentrate samples are included in this database. The AGDB includes historical geochemical data originally archived in the USGS Rock Analysis Storage System (RASS) database, used from the mid-1960s through the late 1980s and the USGS PLUTO database used from the mid-1970s through the mid-1990s. All of these data are currently maintained in the Oracle-based National Geochemical Database (NGDB). Retrievals from the NGDB were used to generate most of the AGDB data set. These data were checked for accuracy regarding sample location, sample media type, and analytical methods used. This arduous process of reviewing, verifying and, where necessary, editing all USGS geochemical data resulted in a significantly improved Alaska geochemical dataset. USGS data that were not previously in the NGDB because the data predate the earliest USGS geochemical databases, or were once excluded for programmatic reasons, are included here in the AGDB and will be added to the NGDB. The AGDB data provided here are the most accurate and complete to date, and should be useful for a wide variety of geochemical studies. The AGDB data provided in the linked database may be updated or changed periodically. The data on the DVD and in the data downloads provided with this report are current as of date of publication.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds637","collaboration":"This publication will be available on DVD at the USGS Online Store.","usgsCitation":"Granitto, M., Bailey, E.A., Schmidt, J.M., Shew, N.B., Gamble, B.M., and Labay, K., 2011, Alaska Geochemical Database (AGDB)-Geochemical data for rock, sediment, soil, mineral, and concentrate sample media: U.S. Geological Survey Data Series 637, iv, 11 p.; Appendices; Metadata files; Data files Download, https://doi.org/10.3133/ds637.","productDescription":"iv, 11 p.; Appendices; Metadata files; Data files Download","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":116499,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_637.png"},{"id":94421,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/637/","linkFileType":{"id":5,"text":"html"}}],"state":"Alaska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db6886f5","contributors":{"authors":[{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Elizabeth A.","contributorId":104005,"corporation":false,"usgs":true,"family":"Bailey","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Jeanine M. jschmidt@usgs.gov","contributorId":3138,"corporation":false,"usgs":true,"family":"Schmidt","given":"Jeanine","email":"jschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":353192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shew, Nora B. 0000-0003-0025-7220 nshew@usgs.gov","orcid":"https://orcid.org/0000-0003-0025-7220","contributorId":3382,"corporation":false,"usgs":true,"family":"Shew","given":"Nora","email":"nshew@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":353193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gamble, Bruce M. bgamble@usgs.gov","contributorId":560,"corporation":false,"usgs":true,"family":"Gamble","given":"Bruce","email":"bgamble@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":353190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":353195,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70005776,"text":"ofr20111262 - 2011 - Location and age of foraminifer samples examined by Chevron Petroleum Company paleontologists from more than 2,500 oil test wells in California","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ofr20111262","displayToPublicDate":"2011-10-19T00:00:00","publicationYear":"2011","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":"2011-1262","title":"Location and age of foraminifer samples examined by Chevron Petroleum Company paleontologists from more than 2,500 oil test wells in California","docAbstract":"Chevron Petroleum Company in 2001 donated an estimated 50,000 foraminifer slides, 5,000 well logs, geologic and surface locality maps, and paleontologic reports to the California Academy of Sciences and Stanford University for safekeeping, because they stopped or cut back exploration for petroleum deposits in California. The material was loaned to Earl Brabb temporarily so that information useful to the U.S. Geological Survey could be extracted. Among the estimated 5,000 well logs, more than 2,500 were printed on fragile Ozalid paper that had deteriorated by turning brown and hardening so that they could be easily damaged. These 2,516 well logs were scanned to provide a digital copy of the information. The 2,516 wells extend over an area from Eureka in Humboldt County south to the Imperial Valley and from the Pacific Ocean east to the eastern side of the Great Valley and the Los Angeles Basin. The wells are located in 410 7.5-minute quadrangle maps in 42 counties. The digital information herein preserves the data, makes the logs easily distributed to others interested in subsurface geology, and makes previously proprietary information widely available to the public for the first time.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111262","usgsCitation":"Brabb, E.E., 2011, Location and age of foraminifer samples examined by Chevron Petroleum Company paleontologists from more than 2,500 oil test wells in California: U.S. Geological Survey Open-File Report 2011-1262, iii, 4 p.; Readme TXT; Data Set 1 folder; Data Set 2 folder, https://doi.org/10.3133/ofr20111262.","productDescription":"iii, 4 p.; Readme TXT; Data Set 1 folder; Data Set 2 folder","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":116501,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1262.gif"},{"id":94423,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1262/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,33 ], [ -125,42 ], [ -115,42 ], [ -115,33 ], [ -125,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a68e4b07f02db63b763","contributors":{"authors":[{"text":"Brabb, Earl E.","contributorId":48939,"corporation":false,"usgs":true,"family":"Brabb","given":"Earl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":353189,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70157550,"text":"70157550 - 2011 - Undiscovered hydrocarbon resources in the U.S. Gulf Coast Jurassic Norphlet and Smackover Formations","interactions":[],"lastModifiedDate":"2022-11-01T18:45:37.423097","indexId":"70157550","displayToPublicDate":"2011-10-19T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Undiscovered hydrocarbon resources in the U.S. Gulf Coast Jurassic Norphlet and Smackover Formations","docAbstract":"<p><span>The U.S. Geological Survey has completed assessments of undiscovered technically recoverable oil and gas resources in the Jurassic Norphlet and Smackover formations of the onshore coastal plain and State waters of the U.S. Gulf Coast. The Norphlet Formation consists of sandstones and interbedded shales and siltstones deposited during a marine transgression. Along its northeast margin, deposition of the Norphlet was in alluvial fans, fluvial systems, and dune and clastic sabkha environments. Mudstones of the underlying Smackover Formation act as source rocks for Norphlet reservoirs. The Norphlet was divided into the following three assessment units (AUs): the Norphlet Salt Basins and Updip AU, the Norphlet Mobile Bay Deep Gas AU, and the Norphlet South Texas Gas AU. The lower part of the Smackover consists primarily of dark carbonate mudstone and argillaceous limestone deposited in low-energy environments, and is one of the Gulf of Mexico Basin&rsquo;s major source rocks. The upper part of the Smackover is comprised primarily of grain-supported carbonates deposited in high-energy environments. The Smackover was divided into the following four AUs: the Smackover Updip and Peripheral Fault Zone AU, the Smackover Salt Basin AU, the Smackover South Texas AU, and the Smackover Downdip Continuous Gas AU. Although the Norphlet and Smackover formations have been the focus of extensive exploration and production, they probably still contain significant undiscovered oil and gas resources.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Gulf Coast Association of Geological Societies transactions","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Gulf Coast Association of Geological Societies 62nd Annual Convention","conferenceDate":"October 16-19, 2011","conferenceLocation":"Veracruz, Mexico","language":"English","publisher":"Gulf Coast Association of Geological Societies","usgsCitation":"Pearson, O.N., 2011, Undiscovered hydrocarbon resources in the U.S. Gulf Coast Jurassic Norphlet and Smackover Formations, <i>in</i> Gulf Coast Association of Geological Societies transactions, v. 62, Veracruz, Mexico, October 16-19, 2011, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030580","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":308622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf Coast, Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.58737950510604,\n              25.90948340994224\n            ],\n            [\n              -95.59397541354184,\n              26.056249409478767\n            ],\n            [\n              -95.46560970220244,\n              27.509451991606028\n            ],\n            [\n              -92.5842199345563,\n              28.652323528884025\n            ],\n            [\n              -87.37281329466619,\n              28.492136093615315\n            ],\n            [\n              -87.58172880649468,\n              30.76825352709257\n            ],\n            [\n              -90.53966968315467,\n              30.647884750107053\n            ],\n            [\n              -93.32868416662427,\n              30.407434361313832\n            ],\n            [\n              -95.06402121116918,\n              30.16096570069783\n            ],\n            [\n              -97.52539552934272,\n              28.538349042021295\n            ],\n            [\n              -98.139861872665,\n              27.25768447218131\n            ],\n            [\n              -97.58737950510604,\n              25.90948340994224\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56067041e4b058f706e51972","contributors":{"authors":[{"text":"Pearson, Ofori N. 0000-0002-9550-1128 opearson@usgs.gov","orcid":"https://orcid.org/0000-0002-9550-1128","contributorId":1680,"corporation":false,"usgs":true,"family":"Pearson","given":"Ofori","email":"opearson@usgs.gov","middleInitial":"N.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":573573,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005781,"text":"ofr20111271 - 2011 - Organic contaminants, trace and major elements, and nutrients in water and sediment sampled in response to the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ofr20111271","displayToPublicDate":"2011-10-19T00:00:00","publicationYear":"2011","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":"2011-1271","title":"Organic contaminants, trace and major elements, and nutrients in water and sediment sampled in response to the Deepwater Horizon oil spill","docAbstract":"Beach water and sediment samples were collected along the Gulf of Mexico coast to assess differences in contaminant concentrations before and after landfall of Macondo-1 well oil released into the Gulf of Mexico from the sinking of the British Petroleum Corporation's Deepwater Horizon drilling platform. Samples were collected at 70 coastal sites on the Gulf of Mexico between May 7 and July 7, 2010, to document baseline, \"pre-landfall\" conditions. A subset of these sites was resampled during October 4 to 14, 2010, after oil had made landfall on the Gulf of Mexico coast (\"post-landfall\") to determine if actionable concentrations of oil were present along shorelines.\nFew organic contaminants were detected in water; their detection frequencies were generally low and similar in pre-landfall and post-landfall samples. Only one organic contaminant, toluene, had significantly higher concentrations in post-landfall than pre-landfall water samples. No samples exceeded any human-health benchmarks, and only one sample exceeded an aquatic-life benchmark-the toxic-unit benchmark for polycyclic aromatic hydrocarbons (PAH) mixtures was exceeded in one post-landfall water sample from Louisiana. No exceedance was observed in the corresponding pre-landfall water sample at this site.\nIn sediment, several PAHs were detected at over 20 percent of sites. Concentrations of 3 parent PAHs and 17 alkylated PAH groups were significantly higher in post-landfall samples than pre-landfall samples. One pre-landfall sample from Texas exceeded the sediment toxic-unit benchmark for PAH mixtures; this site was not sampled during the post-landfall period, so no comparison between sampling periods could be made. Twenty-seven percent of sediment samples exceeded empirical sediment-quality benchmarks (upper screening values) for PAHs, indicating these samples are in the probable-effect range. A higher percentage of post-landfall samples exceeded upper screening-value benchmarks (37 percent) than did pre-landfall samples (22 percent), but there was no significant difference in the proportion of samples exceeding one or more benchmarks between paired pre-landfall and post-landfall samples. Seven sites had the largest concentration differences between post-landfall and pre-landfall samples for fifteen alkylated PAHs. Five of these seven sites (1 site in Louisiana, 1 in Mississippi, and 3 in Alabama) were identified on the basis of diagnostic geochemical biomarkers as containing Macondo-1 oil in post-landfall sediments and tarballs, as described in a companion report by Rosenbauer and others (2010).\nFor trace and major elements in water, analytical reporting levels for several elements were highly variable; after censoring to a common reporting threshold, concentrations were significantly different between pre-landfall and post-landfall samples for a few elements, all of which are elements in seawater. No human-health benchmarks were exceeded, although these were available for only two elements. Aquatic-life benchmarks for trace elements were exceeded in almost 50 percent of water samples. Post-landfall samples exceeded one or more acute benchmarks in 21 percent, and chronic benchmarks in 93 percent of samples, compared to 1 percent (acute) and 39 percent (chronic) for pre-landfall samples. The elements responsible for the most exceedances in post-landfall samples were boron (48 samples), copper (22), and manganese (12). Nickel and vanadium, which U.S. Environmental Protection Agency specifically identified as relevant to the oil spill, were responsible for exceedances in only one of the fifty-two post-landfall samples with exceedances. These results represent the minimum number of exceedances for several trace elements because a substantial number of samples could not be compared with benchmarks because the element was determined during only one sampling period (boron and vanadium) or the reporting level for the sample was higher than the applicable benchmark value (for example, cobalt, copper, lead, and nickel). The high and variable reporting levels for trace elements in water also precluded the statistical comparison between sampling periods of the proportion of samples exceeding benchmarks.\nFor trace elements in whole (unsieved) sediment, 47 percent of samples exceeded empirical upper screening-value benchmarks, indicating these samples are in the probable-effect range. However, there was no significant difference in the proportion of samples exceeding one or more benchmarks between paired pre-landfall post-landfall samples. Benchmark exceedance frequencies could be conservatively high, because they are based on measurements of total trace-element concentrations, including the sediment matrix. In fine sediment (the less than 63-micrometer sediment fraction), one or more trace or major elements were anthropogenically enriched relative to national baseline values for U.S. streams for almost all sediment samples (123 of 124). Sixteen percent of sediment samples exceeded upper screening-value benchmarks for, and were enriched in, one or more of the element(s) barium (in 14 samples), vanadium (5), aluminum (3), manganese (3), arsenic (2), chromium (2), and cobalt (1). These samples, collected from Louisiana and Texas, were evenly divided between the pre-landfall (9 samples) and post-landfall (10 samples) periods.\nConsidering all the information evaluated in this report, there were significant differences between pre-landfall and post-landfall samples for PAH concentrations in sediment. Pre-landfall and post-landfall samples did not differ significantly in concentrations or benchmark exceedances for most organics in water or trace elements in sediment. For trace elements in water, aquatic-life benchmarks were exceeded in almost 50 percent of samples, but the high and variable analytical reporting levels precluded statistical comparison of benchmark exceedances between sampling periods. Concentrations of several PAH compounds in sediment were significantly higher in post-landfall samples than pre-landfall samples, and five of seven sites with the largest differences in PAH concentrations also had diagnostic geochemical evidence of Deepwater Horizon Macondo-1 oil from Rosenbauer and others (2010).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111271","usgsCitation":"Nowell, L.H., Ludtke, A.S., Mueller, D.K., and Scott, J.C., 2011, Organic contaminants, trace and major elements, and nutrients in water and sediment sampled in response to the Deepwater Horizon oil spill: U.S. Geological Survey Open-File Report 2011-1271, viii, 126 p.; Appendices; Table 17; Table 20; Table 22; Table 25; Table 26; Table A-1; Table A-2; Table A-3; Table A-4; Table A-5; Table A-6; Part A-7; Figure B-1; Figure B-2; Figure B-3; Figure B-4; Figure B-5; Table C-1; Table C-2; Table C-3; Table C-4, https://doi.org/10.3133/ofr20111271.","productDescription":"viii, 126 p.; Appendices; Table 17; Table 20; Table 22; Table 25; Table 26; Table A-1; Table A-2; Table A-3; Table A-4; Table A-5; Table A-6; Part A-7; Figure B-1; Figure B-2; Figure B-3; Figure B-4; Figure B-5; Table C-1; Table C-2; Table C-3; Table C-4","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":116500,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1271.png"},{"id":94422,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1271/","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Deepwater Horizon Oil Spill","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae6e4b07f02db68baf3","contributors":{"authors":[{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":353196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ludtke, Amy S. asludtke@usgs.gov","contributorId":4735,"corporation":false,"usgs":true,"family":"Ludtke","given":"Amy","email":"asludtke@usgs.gov","middleInitial":"S.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":353198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, David K. mueller@usgs.gov","contributorId":1585,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"mueller@usgs.gov","middleInitial":"K.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":353197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Jonathon C. jcscott@usgs.gov","contributorId":5449,"corporation":false,"usgs":true,"family":"Scott","given":"Jonathon","email":"jcscott@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":353199,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005787,"text":"ofr20111231 - 2011 - Probabilistic seismic hazard assessment including site effects for Evansville, Indiana, and the surrounding region","interactions":[],"lastModifiedDate":"2012-02-10T00:12:00","indexId":"ofr20111231","displayToPublicDate":"2011-10-19T00:00:00","publicationYear":"2011","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":"2011-1231","title":"Probabilistic seismic hazard assessment including site effects for Evansville, Indiana, and the surrounding region","docAbstract":"We provide a probabilistic seismic hazard assessment for the Evansville, Indiana region incorporating information from new surficial geologic mapping efforts on the part of the U.S. Geological Survey (USGS) and the Kentucky and Indiana State Geological Surveys, as well as information on the thickness and properties of near surface soils and their associated uncertainties. The subsurface information has been compiled to determine bedrock elevation and reference depth-dependent shear-wave velocity models for the different soil types. The probabilistic seismic hazard calculation applied here follows the method used for the 2008 U.S. Geological Survey National Seismic Hazard Maps, with modifications to incorporate estimates of local site conditions and their uncertainties, in a completely probabilistic manner. The resulting analysis shows strong local variations of acceleration with 2 percent probability of exceedance in 50 years, particularly for 0.2-second (s) period spectral acceleration (SA), that are clearly correlated with variations in the thickness of unconsolidated soils above bedrock. These values are much greater than the USGS national seismic hazard map values, which assume B/C site conditions. When compared to the national maps with an assumed uniform site D class amplification factor applied, the high-resolution seismic hazard maps have higher amplitudes for peak ground acceleration and 0.2-s SA for most of the map region. However, deamplification relative to the D class national seismic hazard maps appears to play an important role within the limits of the ancient bedrock valley underlying Evansville where soils are thickest. For 1.0-s SA, the new high-resolution seismic hazard maps show levels consistent with D class site response within the limits of this ancient bedrock valley, but levels consistent with B/C site conditions outside.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111231","collaboration":"In collaboration with the Evansville Area Earthquake Hazards Mapping Project (EAEHMP)","usgsCitation":"Haase, J.S., Bowling, T., Nowack, R.L., Choi, Y.S., Cramer, C.H., Boyd, O.S., and Bauer, R., 2011, Probabilistic seismic hazard assessment including site effects for Evansville, Indiana, and the surrounding region: U.S. Geological Survey Open-File Report 2011-1231, iv, 29 p., https://doi.org/10.3133/ofr20111231.","productDescription":"iv, 29 p.","onlineOnly":"Y","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":116469,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1231.gif"},{"id":94426,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1231/","linkFileType":{"id":5,"text":"html"}}],"state":"Indiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.75,37.75 ], [ -87.75,38.13333333333333 ], [ -87.36749999999999,38.13333333333333 ], [ -87.36749999999999,37.75 ], [ -87.75,37.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db660c76","contributors":{"authors":[{"text":"Haase, Jennifer S.","contributorId":81238,"corporation":false,"usgs":true,"family":"Haase","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":353217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowling, Tim","contributorId":80002,"corporation":false,"usgs":true,"family":"Bowling","given":"Tim","affiliations":[],"preferred":false,"id":353216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowack, Robert L.","contributorId":100516,"corporation":false,"usgs":true,"family":"Nowack","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":353219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, Yoon S.","contributorId":41128,"corporation":false,"usgs":true,"family":"Choi","given":"Yoon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":353215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cramer, Chris H.","contributorId":32196,"corporation":false,"usgs":true,"family":"Cramer","given":"Chris","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":353214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boyd, Oliver S. olboyd@usgs.gov","contributorId":956,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":353213,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bauer, Robert A.","contributorId":92412,"corporation":false,"usgs":true,"family":"Bauer","given":"Robert A.","affiliations":[],"preferred":false,"id":353218,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70118818,"text":"70118818 - 2011 - Assessment of bats for white-nose syndrome at El Malpais National Monument and adjacent lands","interactions":[],"lastModifiedDate":"2014-07-30T13:58:09","indexId":"70118818","displayToPublicDate":"2011-10-18T13:55:59","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Assessment of bats for white-nose syndrome at El Malpais National Monument and adjacent lands","docAbstract":"No abstract available.","largerWorkTitle":"1st One Day Chapter Conference and Corridors Workshop","language":"English","publisher":"New Mexico Chapter of the Wildlife Society","publisherLocation":"Albuquerque, NM","usgsCitation":"Valdez, E., 2011, Assessment of bats for white-nose syndrome at El Malpais National Monument and adjacent lands, <i>in</i> 1st One Day Chapter Conference and Corridors Workshop.","costCenters":[],"links":[{"id":291423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f63be4b0bc0bec0a1b3e","contributors":{"authors":[{"text":"Valdez, Ernest","contributorId":36067,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","affiliations":[],"preferred":false,"id":497306,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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