{"pageNumber":"630","pageRowStart":"15725","pageSize":"25","recordCount":46677,"records":[{"id":70044427,"text":"70044427 - 2012 - Stable isotopes to detect food-conditioned bears and to evaluate human-bear management","interactions":[],"lastModifiedDate":"2013-05-07T10:49:35","indexId":"70044427","displayToPublicDate":"2012-05-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Stable isotopes to detect food-conditioned bears and to evaluate human-bear management","docAbstract":"We used genetic and stable isotope analysis of hair from free-ranging black bears (Ursus americanus) in Yosemite National Park, California, USA to: 1) identify bears that consume human food, 2) estimate the diets of these bears, and 3) evaluate the Yosemite human–bear management program. Specifically, we analyzed the isotopic composition of hair from bears known a priori to be food-conditioned or non-food-conditioned and used these data to predict whether bears with an unknown management status were food-conditioned (FC) or non-food-conditioned (NFC). We used a stable isotope mixing model to estimate the proportional contribution of natural foods (plants and animals) versus human food in the diets of FC bears. We then used results from both analyses to evaluate proactive (population-level) and reactive (individual-level) human–bear management, and discussed new metrics to evaluate the overall human–bear management program in Yosemite. Our results indicated that 19 out of 145 (13%) unknown bears sampled from 2005 to 2007 were food-conditioned. The proportion of human food in the diets of known FC bears likely declined from 2001–2003 to 2005–2007, suggesting proactive management was successful in reducing the amount of human food available to bears. In contrast, reactive management was not successful in changing the management status of known FC bears to NFC bears, or in reducing the contribution of human food to the diets of FC bears. Nine known FC bears were recaptured on 14 occasions from 2001 to 2007; all bears were classified as FC during subsequent recaptures, and human–bear management did not reduce the amount of human food in the diets of FC bears. Based on our results, we suggest Yosemite continue implementing proactive human–bear management, reevaluate reactive management, and consider removing problem bears (those involved in repeated bear incidents) from the population.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.318","usgsCitation":"Hopkins, J.B., Koch, P.L., Schwartz, C.C., Ferguson, J.M., Greenleaf, S.S., and Kalinowski, S.T., 2012, Stable isotopes to detect food-conditioned bears and to evaluate human-bear management: Journal of Wildlife Management, v. 76, no. 4, p. 703-713, https://doi.org/10.1002/jwmg.318.","productDescription":"11 p.","startPage":"703","endPage":"713","numberOfPages":"11","ipdsId":"IP-028784","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":271941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271934,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.318"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.88,37.49 ], [ -119.88,38.18 ], [ -119.19,38.18 ], [ -119.19,37.49 ], [ -119.88,37.49 ] ] ] } } ] }","volume":"76","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-01-12","publicationStatus":"PW","scienceBaseUri":"518a227ae4b061e1bd5334c0","contributors":{"authors":[{"text":"Hopkins, John B. III","contributorId":42112,"corporation":false,"usgs":true,"family":"Hopkins","given":"John","suffix":"III","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":475576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Paul L.","contributorId":6742,"corporation":false,"usgs":true,"family":"Koch","given":"Paul","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":475573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, Charles C.","contributorId":55950,"corporation":false,"usgs":true,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":475577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferguson, Jake M.","contributorId":17895,"corporation":false,"usgs":true,"family":"Ferguson","given":"Jake","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greenleaf, Schuyler S.","contributorId":16729,"corporation":false,"usgs":true,"family":"Greenleaf","given":"Schuyler","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":475574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalinowski, Steven T.","contributorId":78465,"corporation":false,"usgs":true,"family":"Kalinowski","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":475578,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038372,"text":"ds643 - 2012 - National wildlife refuge visitor survey 2010/2011: Individual refuge results","interactions":[],"lastModifiedDate":"2012-05-17T01:01:41","indexId":"ds643","displayToPublicDate":"2012-05-16T00:00:00","publicationYear":"2012","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":"643","title":"National wildlife refuge visitor survey 2010/2011: Individual refuge results","docAbstract":"The National Wildlife Refuge System (Refuge System), established in 1903 and managed by the U.S. Fish and Wildlife Service (Service), is the leading network of protected lands and waters in the world dedicated to the conservation of fish, wildlife and their habitats. There are 556 national wildlife refuges and 38 wetland management districts nationwide, encompassing more than 150 million acres. The Refuge System attracts more than 45 million visitors annually, including 25 million people per year to observe and photograph wildlife, over 9 million to hunt and fish, and more than 10 million to participate in educational and interpretation programs. Understanding visitors and characterizing their experiences on national wildlife refuges are critical elements of managing these lands and meeting the goals of the Refuge System. The Service collaborated with the U.S. Geological Survey to conduct a national survey of visitors regarding their experiences on national wildlife refuges. The survey was conducted to better understand visitor needs and experiences and to design programs and facilities that respond to those needs. The survey results will inform Service performance planning, budget, and communications goals. Results will also inform Comprehensive Conservation Plan (CCPs), Visitor Services, and Transportation Planning processes. This data series consists of 53 separate data files. Each file describes the results of the survey for an individual refuge and contains the following information: * Introduction: An overview of the Refuge System and the goals of the national surveying effort. * Methods: The procedures for the national surveying effort, including selecting refuges, developing the survey instrument, contacting visitors, and guidance for interpreting the results. * Refuge Description: A brief description of the refuge location, acreage, purpose, recreational activities, and visitation statistics, including a map (where available) and refuge website link. * Sampling at This Refuge: The sampling periods, locations, and response rate for the refuge. * Selected Survey Results: Key findings for the refuge, including: - Visitor and Trip Characteristics - Visitor Spending in the Local Communities - Visitors Opinions about This Refuge - Visitor Opinions about National Wildlife Refuge System Topics * Conclusion * References * Survey Frequencies (Appendix A): The survey instrument with the frequency results for this refuge. * Visitor Comments (Appendix B): The verbatim responses to the open-ended survey questions for this refuge. Combined results for the 53 participating refuges are available at http://pubs.usgs.gov/ds/685/ as part of USGS Data Series 685.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds643","usgsCitation":"Sexton, N.R., Dietsch, A.M., Don Carlos, A.W., Koontz, L.M., Solomon, A.N., and Miller, H.M., 2012, National wildlife refuge visitor survey 2010/2011: Individual refuge results: U.S. Geological Survey Data Series 643, HTML Document; PDF Downloads of Visitor Survey Results for 53 National Wildlife Refuges, https://doi.org/10.3133/ds643.","productDescription":"HTML Document; PDF Downloads of Visitor Survey Results for 53 National Wildlife Refuges","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2010-07-01","temporalEnd":"2011-11-30","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":256854,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_643.png"},{"id":256851,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/643/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6293e4b0c8380cd71fc2","contributors":{"authors":[{"text":"Sexton, Natalie R.","contributorId":82750,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietsch, Alia M.","contributorId":66399,"corporation":false,"usgs":true,"family":"Dietsch","given":"Alia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Don Carlos, Andrew W.","contributorId":89755,"corporation":false,"usgs":true,"family":"Don Carlos","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":464009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koontz, Lynne M.","contributorId":26167,"corporation":false,"usgs":true,"family":"Koontz","given":"Lynne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solomon, Adam N.","contributorId":18212,"corporation":false,"usgs":true,"family":"Solomon","given":"Adam","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":464004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":29544,"corporation":false,"usgs":true,"family":"Miller","given":"Holly","email":"millerh@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":464006,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038371,"text":"ofr20121011 - 2012 - Logs and data from trenches across and near the Green Valley Fault at the Mason Road site, Fairfield, Solano County, California, 2006-2009","interactions":[],"lastModifiedDate":"2012-05-17T01:01:41","indexId":"ofr20121011","displayToPublicDate":"2012-05-15T20:35:00","publicationYear":"2012","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":"2012-1011","title":"Logs and data from trenches across and near the Green Valley Fault at the Mason Road site, Fairfield, Solano County, California, 2006-2009","docAbstract":"The primary purpose of this report is to provide drafted field logs of exploratory trenches excavated across the Green Valley Fault in 2007 and 2009 that show evidence for four surface rupturing earthquakes in the past one thousand years. The site location and site detail are shown on sheet 1. The trench logs are shown on sheets 1, 2, and 3. We also provide radiocarbon laboratory dates used for chronological modeling of the earthquake history. Sheets 4 and 5 show additional data obtained in 2006–2009 to document data obtained in our studies of the long-term geologic slip rate on the Green Valley Fault. However, that effort ultimately did not prove feasible and no slip rate estimate resulted.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121011","usgsCitation":"Lienkaemper, J.J., Sickler, R.R., Mahan, S., Brown, J., Reidy, L.M., and Kimball, M.A., 2012, Logs and data from trenches across and near the Green Valley Fault at the Mason Road site, Fairfield, Solano County, California, 2006-2009: U.S. Geological Survey Open-File Report 2012-1011, Pamphlet: iii, 5 p.; Sheet 1: 36.00 x 24.00 inches; Sheet 2: 36.00 x 18.00 inches; Sheet 3: 24.00 x 15.00 inches; Sheet 4: 24.00 x 20.00 inches; Sheet 5: 17.00 x 11.00 inches, https://doi.org/10.3133/ofr20121011.","productDescription":"Pamphlet: iii, 5 p.; Sheet 1: 36.00 x 24.00 inches; Sheet 2: 36.00 x 18.00 inches; Sheet 3: 24.00 x 15.00 inches; Sheet 4: 24.00 x 20.00 inches; Sheet 5: 17.00 x 11.00 inches","onlineOnly":"Y","temporalStart":"2006-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":379,"text":"Menlo Park Science Center","active":false,"usgs":true}],"links":[{"id":256853,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1011.gif"},{"id":256850,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1011/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"Solano","city":"Fairfield","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a494fe4b0c8380cd684de","contributors":{"authors":[{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":463999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sickler, Robert R. 0000-0002-9141-625X rsickler@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-625X","contributorId":3235,"corporation":false,"usgs":true,"family":"Sickler","given":"Robert","email":"rsickler@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":464000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":463998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Johnathan","contributorId":56082,"corporation":false,"usgs":true,"family":"Brown","given":"Johnathan","email":"","affiliations":[],"preferred":false,"id":464001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reidy, Liam M.","contributorId":105372,"corporation":false,"usgs":true,"family":"Reidy","given":"Liam","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kimball, Mindy A.","contributorId":72241,"corporation":false,"usgs":true,"family":"Kimball","given":"Mindy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464002,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038369,"text":"ds685 - 2012 - National wildlife refuge visitor survey results: 2010/2011","interactions":[],"lastModifiedDate":"2012-10-22T17:16:26","indexId":"ds685","displayToPublicDate":"2012-05-15T00:00:00","publicationYear":"2012","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":"685","title":"National wildlife refuge visitor survey results: 2010/2011","docAbstract":"The U.S. Fish and Wildlife Service (Service) collaborated with the U.S. Geological Survey to conduct a national survey of visitors regarding their experiences on national wildlife refuges. The survey was conducted to better understand visitor needs and experiences and to design programs and facilities that respond to those needs. The survey results will inform Service performance planning, budget, and communications goals. Results will also inform Comprehensive Conservation Plan (CCPs), Visitor Services, and Transportation Planning processes. The survey was conducted on 53 refuges across the National Wildlife Refuge System (Refuge System) to better understand visitor needs and experiences and to design programs and facilities that respond to those needs. A total of 14,832 visitors agreed to participate in the survey between July 2010 and November 2011. In all, 10,233 visitors completed the survey for a 71% response rate. This report provides a summary of visitor and trip characteristics; visitor opinions about refuges and their offerings; and visitor opinions about alternative transportation and climate change, two Refuge System topics of interest. The Refuge System, established in 1903 and managed by the Service, is the leading network of protected lands and waters in the world dedicated to the conservation of fish, wildlife and their habitats. There are 556 National Wildlife Refuges and 38 wetland management districts nationwide, encompassing more than 150 million acres. The Refuge System attracts more than 45 million visitors annually, including 25 million people per year to observe and photograph wildlife, over 9 million to hunt and fish, and more than 10 million to participate in educational and interpretation programs. Understanding visitors and characterizing their experiences on national wildlife refuges are critical elements of managing these lands and meeting the goals of the Refuge System. These combined results are based on surveying at 53 participating refuges during 2010/2011 and contain the following information: * Synopsis: Brief summary of the survey results. * Introduction: An overview of the Refuge System and the goals of the national surveying effort. * Methods: The procedures for the national surveying effort, including selecting refuges, developing the survey instrument, contacting visitors, and guidance for interpreting the results. * Survey Results: Key findings from the survey, including:  - Visitor and trip characteristics - Visitors opinions about refuges - Visitor opinions about alternative transportation - Visitor opinions about climate change * Conclusion * References Individual results for each of the 53 participating refuges are available at http://pubs.usgs.gov/ds/643/ as part of USGS Data Series 643.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds685","usgsCitation":"Sexton, N.R., Dietsch, A.M., Don Carolos, A.W., Miller, H.M., Koontz, L.M., and Solomon, A.N., 2012, National wildlife refuge visitor survey results: 2010/2011: U.S. Geological Survey Data Series 685, iv, 22 p., https://doi.org/10.3133/ds685.","productDescription":"iv, 22 p.","startPage":"i","endPage":"22","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":256848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_685.png"},{"id":256847,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/685/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6294e4b0c8380cd71fc8","contributors":{"authors":[{"text":"Sexton, Natalie R.","contributorId":82750,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":463992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietsch, Alia M.","contributorId":66399,"corporation":false,"usgs":true,"family":"Dietsch","given":"Alia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Don Carolos, Andrew W.","contributorId":9099,"corporation":false,"usgs":true,"family":"Don Carolos","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":463987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":29544,"corporation":false,"usgs":true,"family":"Miller","given":"Holly","email":"millerh@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":463990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koontz, Lynne M.","contributorId":26167,"corporation":false,"usgs":true,"family":"Koontz","given":"Lynne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463989,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solomon, Adam N.","contributorId":18212,"corporation":false,"usgs":true,"family":"Solomon","given":"Adam","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":463988,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038364,"text":"sir20115228 - 2012 - Evaluation of geophysical techniques for the detection of paleochannels in the Oakland area of eastern Nebraska as part of the Eastern Nebraska Water Resource Assessment","interactions":[],"lastModifiedDate":"2012-05-15T01:01:40","indexId":"sir20115228","displayToPublicDate":"2012-05-14T15:35:00","publicationYear":"2012","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":"2011-5228","title":"Evaluation of geophysical techniques for the detection of paleochannels in the Oakland area of eastern Nebraska as part of the Eastern Nebraska Water Resource Assessment","docAbstract":"<p>Over the winter and spring of 2009, the U.S. Geological Survey conducted a general assessment of the capabilities of several geophysical tools to delineate buried paleochannel aquifers in the glacial terrain of eastern Nebraska. Mapping these paleochannels is an important objective for the Eastern Nebraska Water Resources Assessment group. Previous attempts at mapping these channels included a helicopter electromagnetic survey flown over an area near the town of Oakland, Nebraska, in March 2007. This survey had limited success in imaging the paleochannels due to the restricted depth of investigation of the system in the clay-rich till overburden. The purpose of this study was to investigate whether other airborne electromagnetic or surface geophysical techniques, including audio-magnetotelluric, time-domain electromagnetic, gravity, and magnetic methods, could be used to image the paleochannels in the clay-rich tills of eastern Nebraska. This report releases the results of testing the ability of selected geophysical techniques to map aquifers in glacial deposits near the town of Oakland, Nebraska.</p>\n<p>Surface audio-magnetotelluric and time-domain electromagnetic methods achieved sufficient depth of penetration and indicated that the paleochannel was much more complex than the original geological model. Simulated and observed gravity anomalies indicate that imaging sand and gravel aquifers near Oakland, Nebraska, would be difficult due to the complex basement density contrasts. Interpretation of the magnetic data indicates no magnetic sources from geologic units above the bedrock surface. Based upon the analysis and interpretation of the four methods evaluated, we suggest a large-scale survey using a high-powered time-domain airborne system. This is the most efficient and cost-effective path forward for the Eastern Nebraska Water Assessment group to map paleochannels that lie beneath thick clay-rich glacial tills.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115228","collaboration":"Prepared in cooperation with the Eastern Nebraska Water Resource Assessment","usgsCitation":"Abraham, J., Bedrosian, P.A., Asch, T., Ball, L.B., Cannia, J.C., Phillips, J.D., and Lackey, S., 2012, Evaluation of geophysical techniques for the detection of paleochannels in the Oakland area of eastern Nebraska as part of the Eastern Nebraska Water Resource Assessment: U.S. Geological Survey Scientific Investigations Report 2011-5228, viii, 40 p., https://doi.org/10.3133/sir20115228.","productDescription":"viii, 40 p.","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":254769,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5228.gif"},{"id":254766,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5228/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","city":"Oakland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,40 ], [ -98,43 ], [ -95,43 ], [ -95,40 ], [ -98,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c7de4b0c8380cd52b86","contributors":{"authors":[{"text":"Abraham, Jared D.","contributorId":42630,"corporation":false,"usgs":true,"family":"Abraham","given":"Jared D.","affiliations":[],"preferred":false,"id":463971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":463969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":463974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":463970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cannia, James C.","contributorId":94356,"corporation":false,"usgs":true,"family":"Cannia","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":463975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, Jeffery D.","contributorId":63489,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":463973,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lackey, Susan","contributorId":44397,"corporation":false,"usgs":true,"family":"Lackey","given":"Susan","email":"","affiliations":[],"preferred":false,"id":463972,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70038363,"text":"sir20115229 - 2012 - Water-quality assessment of the Cambrian-Ordovician aquifer system in the northern Midwest, United States","interactions":[],"lastModifiedDate":"2012-05-15T01:01:40","indexId":"sir20115229","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","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":"2011-5229","title":"Water-quality assessment of the Cambrian-Ordovician aquifer system in the northern Midwest, United States","docAbstract":"This report provides a regional assessment of groundwater quality of the Cambrian-Ordovician aquifer system, based primarily on raw water samples collected by the NAWQA Program during 1995 through 2007. The NAWQA Program has published findings in local study-unit reports encompassing parts of the Cambrian-Ordovician aquifer system. Data collected from the aquifer system were used in national synthesis reports on selected topics such as specific water-quality constituent classes, well type, or aquifer material; however, a synthesis of groundwater quality at the principal aquifer scale has not been completed and is therefore the major purpose of this report. Water samples collected by the NAWQA Program were analyzed for various classes of characteristics including physical properties, major ions, trace elements, nutrients and dissolved organic carbon, radionuclides (tritium, radon, and radium), pesticides, and volatile organic compounds. Subsequent sections of this report provide discussions on these classes of characteristics. The assessment objectives of this report are to (1) summarize constituent concentrations and compare them to human-health benchmarks and non-health guidelines; (2) determine the geographic distribution of constituent concentrations and relate them to various factors such as confining conditions, well type, land use, and groundwater age; and (3) evaluate near-decadal-scale changes in nitrate concentrations and pesticide detections. The most recent sample collected from each well by the NAWQA Program was used for most analyses. Near-decadal-scale changes in nitrate concentrations and pesticide detections were evaluated for selected well networks by using the most recent sample from each well and comparing it to the results from a sample collected 7 or 11 years earlier. Because some of the NAWQA well networks provide a limited areal coverage of the aquifer system, data for raw water samples from other USGS sources and state agencies were included to expand the data coverage into areas between the NAWQA well networks and into northeastern Missouri. Many of the maps in this report that show concentrations of selected constituents include data from other sources to expand on the geographic area covered by the NAWQA data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115229","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Wilson, J.T., 2012, Water-quality assessment of the Cambrian-Ordovician aquifer system in the northern Midwest, United States: U.S. Geological Survey Scientific Investigations Report 2011-5229, xvi, 129 p.; Appendices; Maps ; PDF Download of Appendix 1; PDF Download of Appendix 3, https://doi.org/10.3133/sir20115229.","productDescription":"xvi, 129 p.; Appendices; Maps ; PDF Download of Appendix 1; PDF Download of Appendix 3","startPage":"i","endPage":"154","numberOfPages":"170","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":254770,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5229.gif"},{"id":254764,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5229/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Midwest;Cambrian-ordovician Aquifer System","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcdafe4b08c986b32e0a6","contributors":{"authors":[{"text":"Wilson, John T. 0000-0001-6752-4069 jtwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-6752-4069","contributorId":1954,"corporation":false,"usgs":true,"family":"Wilson","given":"John","email":"jtwilson@usgs.gov","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":463968,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038357,"text":"ds652 - 2012 - Archive of digital boomer seismic reflection data collected offshore east-central Florida during USGS cruises 96FGS01 and 97FGS01 in November of 1996 and May of 1997","interactions":[],"lastModifiedDate":"2012-05-15T01:01:40","indexId":"ds652","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","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":"652","title":"Archive of digital boomer seismic reflection data collected offshore east-central Florida during USGS cruises 96FGS01 and 97FGS01 in November of 1996 and May of 1997","docAbstract":"This Digital Versatile Disc (DVD) publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds652","usgsCitation":"Subino, J.A., Forde, A.S., Dadisman, S.V., Wiese, D.S., and Calderon, K., 2012, Archive of digital boomer seismic reflection data collected offshore east-central Florida during USGS cruises 96FGS01 and 97FGS01 in November of 1996 and May of 1997: U.S. Geological Survey Data Series 652, HTML Document; DVD, https://doi.org/10.3133/ds652.","productDescription":"HTML Document; DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":254759,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_652.bmp"},{"id":254757,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/652/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed48e4b0c8380cd496fc","contributors":{"authors":[{"text":"Subino, Janice A.","contributorId":50386,"corporation":false,"usgs":true,"family":"Subino","given":"Janice","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":463950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463951,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calderon, Karynna","contributorId":92739,"corporation":false,"usgs":true,"family":"Calderon","given":"Karynna","email":"","affiliations":[],"preferred":false,"id":463953,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038358,"text":"ds653 - 2012 - Archive of digital boomer seismic reflection data collected offshore northeast Florida during USGS cruise 02FGS01, October 2002","interactions":[],"lastModifiedDate":"2012-05-15T01:01:40","indexId":"ds653","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","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":"653","title":"Archive of digital boomer seismic reflection data collected offshore northeast Florida during USGS cruise 02FGS01, October 2002","docAbstract":"This Digital Versatile Disc (DVD) publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds653","usgsCitation":"Subino, J.A., Forde, A.S., Dadisman, S.V., Wiese, D.S., and Calderon, K., 2012, Archive of digital boomer seismic reflection data collected offshore northeast Florida during USGS cruise 02FGS01, October 2002: U.S. Geological Survey Data Series 653, HTML Document; DVD, https://doi.org/10.3133/ds653.","productDescription":"HTML Document; DVD","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2002-10-01","temporalEnd":"2002-10-31","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":254760,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_653.bmp"},{"id":254758,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/653/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed48e4b0c8380cd496ff","contributors":{"authors":[{"text":"Subino, Janice A.","contributorId":50386,"corporation":false,"usgs":true,"family":"Subino","given":"Janice","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":463955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calderon, Karynna","contributorId":92739,"corporation":false,"usgs":true,"family":"Calderon","given":"Karynna","email":"","affiliations":[],"preferred":false,"id":463958,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038362,"text":"ofr20121084 - 2012 - National assessment of hurricane-induced coastal erosion hazards--Gulf of Mexico","interactions":[],"lastModifiedDate":"2017-07-05T10:51:06","indexId":"ofr20121084","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","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":"2012-1084","title":"National assessment of hurricane-induced coastal erosion hazards--Gulf of Mexico","docAbstract":"Sandy beaches provide a natural barrier between the ocean and inland communities, ecosystems, and resources. However, these dynamic environments move and change in response to winds, waves, and currents. During a hurricane, these changes can be large and sometimes catastrophic. High waves and storm surge act together to erode beaches and inundate low-lying lands, putting inland communities at risk. A decade of USGS research on storm-driven coastal change hazards has provided the data and modeling capabilities to identify areas of our coastline that are likely to experience extreme and potentially hazardous erosion during a hurricane. This report defines hurricane-induced coastal erosion hazards for sandy beaches along the U.S. Gulf of Mexico coastline. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. As new beach morphology observations and storm predictions become available, this analysis will be updated to describe how coastal vulnerability to storms will vary in the future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121084","usgsCitation":"Stockdon, H.F., Doran, K., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A., 2012, National assessment of hurricane-induced coastal erosion hazards--Gulf of Mexico: U.S. Geological Survey Open-File Report 2012-1084, vii, 49 p.; Tables; Spatial Datasets; Metadata, https://doi.org/10.3133/ofr20121084.","productDescription":"vii, 49 p.; Tables; Spatial Datasets; Metadata","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438815,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N01XLQ","text":"USGS data release","linkHelpText":"National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico"},{"id":438814,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99ILAB9","text":"USGS data release","linkHelpText":"National Assessment of Hurricane-Induced Coastal Erosion Hazards"},{"id":438813,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GF0S0Z","text":"USGS data release","linkHelpText":"Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines"},{"id":343302,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1084/pdf/ofr2012-1084.pdf","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":254768,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1084.jpg"},{"id":254763,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1084/","linkFileType":{"id":5,"text":"html"}},{"id":343303,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://olga.er.usgs.gov/data/NACCH/GOM_erosion_hazards.zip","text":"Gulf of Mexico Coastal Erosion Hazards Dataset","size":"325 KB","linkFileType":{"id":6,"text":"zip"}},{"id":343304,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7QC01KZ","text":"National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico Update"}],"otherGeospatial":"Gulf Of Mexico","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a625de4b0c8380cd71e98","contributors":{"authors":[{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, Kara S. 0000-0001-8050-5727 kdoran@usgs.gov","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":2496,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","email":"kdoran@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":463963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sopkin, Kristin L. ksopkin@usgs.gov","contributorId":4437,"corporation":false,"usgs":true,"family":"Sopkin","given":"Kristin","email":"ksopkin@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":463966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":463965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sallenger, Asbury H. Jr.","contributorId":27458,"corporation":false,"usgs":true,"family":"Sallenger","given":"Asbury H.","suffix":"Jr.","affiliations":[],"preferred":false,"id":463967,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70007255,"text":"70007255 - 2012 - Limitations and potential of satellite imagery to monitor environmental response to coastal flooding","interactions":[],"lastModifiedDate":"2017-04-06T14:37:14","indexId":"70007255","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Limitations and potential of satellite imagery to monitor environmental response to coastal flooding","docAbstract":"Storm-surge flooding and marsh response throughout the coastal wetlands of Louisiana were mapped using several types of remote sensing data collected before and after Hurricanes Gustav and Ike in 2008. These included synthetic aperture radar (SAR) data obtained from the (1) C-band advance SAR (ASAR) aboard the Environmental Satellite, (2) phased-array type L-band SAR (PALSAR) aboard the Advanced Land Observing Satellite, and (3) optical data obtained from Thematic Mapper (TM) sensor aboard the Land Satellite (Landsat). In estuarine marshes, L-band SAR and C-band ASAR provided accurate flood extent information when depths averaged at least 80 cm, but only L-band SAR provided consistent subcanopy detection when depths averaged 50 cm or less. Low performance of inundation mapping based on C-band ASAR was attributed to an apparent inundation detection limit (>30 cm deep) in tall Spartina alterniflora marshes, a possible canopy collapse of shoreline fresh marsh exposed to repeated storm-surge inundations, wind-roughened water surfaces where water levels reached marsh canopy heights, and relatively high backscatter in the near-range portion of the SAR imagery. A TM-based vegetation index of live biomass indicated that the severity of marsh dieback was linked to differences in dominant species. The severest impacts were not necessarily caused by longer inundation but rather could be caused by repeated exposure of the palustrine marsh to elevated salinity floodwaters. Differential impacts occurred in estuarine marshes. The more brackish marshes on average suffered higher impacts than the more saline marshes, particularly the nearshore coastal marshes occupied by S. alterniflora.","language":"English","publisher":"Coastal Education and Research Foundation","publisherLocation":"West Palm Beach, FL","doi":"10.2112/JCOASTRES-D-11-00052.1","usgsCitation":"Ramsey, E., Werle, D., Suzuoki, Y., Rangoonwala, A., and Lu, Z., 2012, Limitations and potential of satellite imagery to monitor environmental response to coastal flooding: Journal of Coastal Research, v. 28, no. 2, p. 457-476, https://doi.org/10.2112/JCOASTRES-D-11-00052.1.","productDescription":"20 p.","startPage":"457","endPage":"476","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":254772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254765,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/JCOASTRES-D-11-00052.1","linkFileType":{"id":5,"text":"html"}}],"volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4788e4b0c8380cd678b3","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":356189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werle, Dirk","contributorId":82167,"corporation":false,"usgs":true,"family":"Werle","given":"Dirk","email":"","affiliations":[],"preferred":false,"id":356190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suzuoki, Yukihiro","contributorId":25283,"corporation":false,"usgs":true,"family":"Suzuoki","given":"Yukihiro","email":"","affiliations":[],"preferred":false,"id":356188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":356187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":356186,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037955,"text":"70037955 - 2012 - Applications of fluorescence spectroscopy for predicting percent wastewater in an urban stream","interactions":[],"lastModifiedDate":"2012-05-12T01:01:38","indexId":"70037955","displayToPublicDate":"2012-05-11T11:04:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Applications of fluorescence spectroscopy for predicting percent wastewater in an urban stream","docAbstract":"Dissolved organic carbon (DOC) is a significant organic carbon reservoir in many ecosystems, and its characteristics and sources determine many aspects of ecosystem health and water quality. Fluorescence spectroscopy methods can quantify and characterize the subset of the DOC pool that can absorb and re-emit electromagnetic energy as fluorescence and thus provide a rapid technique for environmental monitoring of DOC in lakes and rivers. Using high resolution fluorescence techniques, we characterized DOC in the Tualatin River watershed near Portland, Oregon, and identified fluorescence parameters associated with effluent from two wastewater treatment plants and samples from sites within and outside the urban region. Using a variety of statistical approaches, we developed and validated a multivariate linear regression model to predict the amount of wastewater in the river as a function of the relative abundance of specific fluorescence excitation/emission pairs. The model was tested with independent data and predicts the percentage of wastewater in a sample within 80% confidence. Model results can be used to develop in situ instrumentation, inform monitoring programs, and develop additional water quality indicators for aquatic systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es2041114","usgsCitation":"Goldman, J.H., Rounds, S.A., and Needoba, J.A., 2012, Applications of fluorescence spectroscopy for predicting percent wastewater in an urban stream: Environmental Science & Technology, v. 46, no. 8, p. 4374-4381, https://doi.org/10.1021/es2041114.","productDescription":"8 p.","startPage":"4374","endPage":"4381","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":254746,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254738,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es2041114","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Tualatin River","volume":"46","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-04-03","publicationStatus":"PW","scienceBaseUri":"5059ecc7e4b0c8380cd4949b","contributors":{"authors":[{"text":"Goldman, Jami H. 0000-0001-5466-912X jgoldman@usgs.gov","orcid":"https://orcid.org/0000-0001-5466-912X","contributorId":4848,"corporation":false,"usgs":true,"family":"Goldman","given":"Jami","email":"jgoldman@usgs.gov","middleInitial":"H.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Needoba, Joseph A.","contributorId":92089,"corporation":false,"usgs":true,"family":"Needoba","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463145,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038355,"text":"ofr20121081 - 2012 - Evidence for mid-Holocene shift in depositional style in Mobile Bay, Alabama","interactions":[],"lastModifiedDate":"2012-05-12T01:01:38","indexId":"ofr20121081","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","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":"2012-1081","title":"Evidence for mid-Holocene shift in depositional style in Mobile Bay, Alabama","docAbstract":"The Holocene stratigraphy of Mobile Bay, Alabama, was mapped using a combination of high-resolution seismic data and sediment cores to refine changes in the bay's evolution during this time. The base of the Holocene-era stratigraphy is an erosional surface formed during the last glacial maximum. Overlying Holocene deposits are primarily estuarine mud that has a finely laminated weak acoustic signature. One exception is a thin unit, R1, with varying reflection amplitude that can be traced throughout the southern part of the bay. The continuity of the unit throughout the southern part of the bay suggests a baywide change in sedimentation that was perhaps driven by rapid retreat of the bay-head delta in response to a sudden rise in sea level or an abrupt change in accommodation space due to basin geometry. Along the southern edge of the bay, the R1 unit increases in thickness and reflector amplitude towards Morgan Peninsula. The peninsula itself underwent a period of erosion and narrowing between 4,300 to 3,000 years before present, and the variation in reflector amplitude and the geometry of this part of the R1 unit appear to reflect a period of increased overwashing of the peninsula during this period. Average estuarine sedimentation rates decreased after the formation of the R1 unit, and the decrease coincides with a decline in the rate of sea-level rise. A similar change in depositional style at approximately the same time in neighboring Apalachicola Bay suggests a change that affected the northeastern Gulf of Mexico region and not just Mobile Bay.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121081","usgsCitation":"Twichell, D., Kelso, K., and Pendleton, E., 2012, Evidence for mid-Holocene shift in depositional style in Mobile Bay, Alabama: U.S. Geological Survey Open-File Report 2012-1081, iv, 8 p.; Figures, https://doi.org/10.3133/ofr20121081.","productDescription":"iv, 8 p.; Figures","startPage":"i","endPage":"18","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":254733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1081.gif"},{"id":254731,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1081/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d4ae4b0c8380cd52f1a","contributors":{"authors":[{"text":"Twichell, David","contributorId":15871,"corporation":false,"usgs":true,"family":"Twichell","given":"David","affiliations":[],"preferred":false,"id":463947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelso, Kyle","contributorId":68017,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","affiliations":[],"preferred":false,"id":463948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pendleton, Elizabeth A. ependleton@usgs.gov","contributorId":2863,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth A.","email":"ependleton@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":463946,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038353,"text":"sir20125025 - 2012 - Mapping surface disturbance of energy-related infrastructure in southwest Wyoming--An assessment of methods","interactions":[],"lastModifiedDate":"2017-12-27T15:03:56","indexId":"sir20125025","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","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":"2012-5025","title":"Mapping surface disturbance of energy-related infrastructure in southwest Wyoming--An assessment of methods","docAbstract":"We evaluated how well three leading information-extraction software programs (eCognition, Feature Analyst, Feature Extraction) and manual hand digitization interpreted information from remotely sensed imagery of a visually complex gas field in Wyoming. Specifically, we compared how each mapped the area of and classified the disturbance features present on each of three remotely sensed images, including 30-meter-resolution Landsat, 10-meter-resolution SPOT (Satellite Pour l'Observation de la Terre), and 0.6-meter resolution pan-sharpened QuickBird scenes. Feature Extraction mapped the spatial area of disturbance features most accurately on the Landsat and QuickBird imagery, while hand digitization was most accurate on the SPOT imagery. Footprint non-overlap error was smallest on the Feature Analyst map of the Landsat imagery, the hand digitization map of the SPOT imagery, and the Feature Extraction map of the QuickBird imagery. When evaluating feature classification success against a set of ground-truthed control points, Feature Analyst, Feature Extraction, and hand digitization classified features with similar success on the QuickBird and SPOT imagery, while eCognition classified features poorly relative to the other methods. All maps derived from Landsat imagery classified disturbance features poorly. Using the hand digitized QuickBird data as a reference and making pixel-by-pixel comparisons, Feature Extraction classified features best overall on the QuickBird imagery, and Feature Analyst classified features best overall on the SPOT and Landsat imagery. Based on the entire suite of tasks we evaluated, Feature Extraction performed best overall on the Landsat and QuickBird imagery, while hand digitization performed best overall on the SPOT imagery, and eCognition performed worst overall on all three images. Error rates for both area measurements and feature classification were prohibitively high on Landsat imagery, while QuickBird was time and cost prohibitive for mapping large spatial extents. The SPOT imagery produced map products that were far more accurate than Landsat and did so at a far lower cost than QuickBird imagery. Consideration of degree of map accuracy required, costs associated with image acquisition, software, operator and computation time, and tradeoffs in the form of spatial extent versus resolution should all be considered when evaluating which combination of imagery and information-extraction method might best serve any given land use mapping project. When resources permit, attaining imagery that supports the highest classification and measurement accuracy possible is recommended.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125025","usgsCitation":"Germaine, S., O’Donnell, M.S., Aldridge, C.L., Baer, L., Fancher, T.S., McBeth, J., McDougal, R., Waltermire, R., Bowen, Z.H., Diffendorfer, J., Garman, S., and Hanson, L., 2012, Mapping surface disturbance of energy-related infrastructure in southwest Wyoming--An assessment of methods: U.S. Geological Survey Scientific Investigations Report 2012-5025, iv, 42 p., https://doi.org/10.3133/sir20125025.","productDescription":"iv, 42 p.","startPage":"i","endPage":"42","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":254735,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5025.png"},{"id":254729,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5025/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5077e4b0c8380cd6b6dd","contributors":{"authors":[{"text":"Germaine, Stephen S.","contributorId":40305,"corporation":false,"usgs":true,"family":"Germaine","given":"Stephen S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":463939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":3351,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":463935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":463940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baer, Lori","contributorId":69028,"corporation":false,"usgs":true,"family":"Baer","given":"Lori","affiliations":[],"preferred":false,"id":463942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fancher, Tammy S. 0000-0002-1318-3614 fanchert@usgs.gov","orcid":"https://orcid.org/0000-0002-1318-3614","contributorId":3788,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy","email":"fanchert@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":463936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McBeth, Jamie","contributorId":79770,"corporation":false,"usgs":true,"family":"McBeth","given":"Jamie","affiliations":[],"preferred":false,"id":463943,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDougal, Robert R.","contributorId":53418,"corporation":false,"usgs":true,"family":"McDougal","given":"Robert R.","affiliations":[],"preferred":false,"id":463941,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waltermire, Robert","contributorId":18644,"corporation":false,"usgs":true,"family":"Waltermire","given":"Robert","affiliations":[],"preferred":false,"id":463937,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":463933,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Diffendorfer, James","contributorId":35610,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","affiliations":[],"preferred":false,"id":463938,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Garman, Steven","contributorId":105981,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","affiliations":[],"preferred":false,"id":463944,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hanson, Leanne hansonl@usgs.gov","contributorId":3231,"corporation":false,"usgs":true,"family":"Hanson","given":"Leanne","email":"hansonl@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":463934,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70038352,"text":"ofr20121042 - 2012 - Sediment characteristics of the Yellowstone River in the vicinity of a proposed bypass chute near Glendive, Montana, 2011","interactions":[],"lastModifiedDate":"2017-10-14T11:30:15","indexId":"ofr20121042","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","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":"2012-1042","title":"Sediment characteristics of the Yellowstone River in the vicinity of a proposed bypass chute near Glendive, Montana, 2011","docAbstract":"In 2011, sediment data were collected by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers on the Yellowstone River at the location of a proposed bypass chute. The sediment data were collected to provide an understanding of the sediment dynamics of the given reach of the Yellowstone River. Suspended-sediment concentrations collected at the three sites generally decreased with decreasing streamflow. In general, the highest suspendedsediment concentrations were found near the channel bed and towards the center of the channel with lower suspendedsediment concentrations near the channel banks and water surface. Suspended sediment was the primary component of the total sediment load for all three sampling locations on the Yellowstone River and contributed at least 98 percent of the total sediment load at each of the three sites. The amount of bedload measured at the three sites was a smaller load in comparison with the suspended-sediment load.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121042","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Hanson, B.R., 2012, Sediment characteristics of the Yellowstone River in the vicinity of a proposed bypass chute near Glendive, Montana, 2011: U.S. Geological Survey Open-File Report 2012-1042, v, 19 p., https://doi.org/10.3133/ofr20121042.","productDescription":"v, 19 p.","startPage":"i","endPage":"19","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":254734,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1042.gif"},{"id":254728,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1042/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","city":"Glendive","otherGeospatial":"Yellowstone River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8960e4b08c986b316db7","contributors":{"authors":[{"text":"Hanson, Brent R. brhanson@usgs.gov","contributorId":4836,"corporation":false,"usgs":true,"family":"Hanson","given":"Brent","email":"brhanson@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":463932,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70009639,"text":"70009639 - 2012 - Evidence for population bottlenecks and subtle genetic structure in the yellow rail","interactions":[],"lastModifiedDate":"2012-05-12T01:01:38","indexId":"70009639","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for population bottlenecks and subtle genetic structure in the yellow rail","docAbstract":"The Yellow Rail (Coturnicops noveboracencis) is among the most enigmatic and least studied North American birds. Nesting exclusively in marshes and wetlands, it breeds largely east of the Rocky Mountains in the northern United States and Canada, but there is an isolated population in southern Oregon once believed extirpated. The degree of connectivity of the Oregon population with the main population is unknown. We used mitochondrial DNA sequences (mtDNA) and six microsatellite loci to characterize the Yellow Rail's genetic structure and diversity patterns in six areas. Our mtDNA-based analyses of genetic structure identified significant population differentiation, but pairwise comparison of regions identified no clear geographic trends. In contrast, microsatellites suggested subtle genetic structure differentiating the Oregon population from those in the five regions sampled in the Yellow Rail's main breeding range. The genetic diversity of the Oregon population was also the lowest of the six regions sampled, and Oregon was one of three regions that demonstrated evidence of recent population bottlenecks. Factors that produced population reductions may include loss of wetlands to development and agricultural conversion, drought, and wildfire. At this time, we are unable to determine if the high percentage (50%) of populations having experienced bottlenecks is representative of the Yellow Rail's entire range. Further genetic data from additional breeding populations will be required for this issue to be addressed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","publisherLocation":"Waco, TX","doi":"10.1525/cond.2012.110055","usgsCitation":"Popper, K.J., Miller, L.F., Green, M., Haig, S.M., and Mullins, T.D., 2012, Evidence for population bottlenecks and subtle genetic structure in the yellow rail: The Condor, v. 114, no. 1, p. 100-112, https://doi.org/10.1525/cond.2012.110055.","productDescription":"13 p.","startPage":"100","endPage":"112","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":474508,"rank":10001,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2012.110055","text":"Publisher Index Page"},{"id":438817,"rank":10000,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KBUXFT","text":"USGS data release","linkHelpText":"Nuclear microsatellite genotypes of six populations of yellow rail (Coturnicops noveboracensis) sampled 2005-2008"},{"id":254744,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2012.110055","linkFileType":{"id":5,"text":"html"}},{"id":254750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"114","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d4de4b0c8380cd52f2d","contributors":{"authors":[{"text":"Popper, Kenneth J.","contributorId":56114,"corporation":false,"usgs":true,"family":"Popper","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":356803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Leonard F.","contributorId":15898,"corporation":false,"usgs":true,"family":"Miller","given":"Leonard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":356802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Michael","contributorId":71066,"corporation":false,"usgs":true,"family":"Green","given":"Michael","affiliations":[],"preferred":false,"id":356804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":356800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mullins, Thomas D. 0000-0001-8948-9604 tom_mullins@usgs.gov","orcid":"https://orcid.org/0000-0001-8948-9604","contributorId":3615,"corporation":false,"usgs":true,"family":"Mullins","given":"Thomas","email":"tom_mullins@usgs.gov","middleInitial":"D.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":356801,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003968,"text":"70003968 - 2012 - A global earthquake discrimination scheme to optimize ground-motion prediction equation selection","interactions":[],"lastModifiedDate":"2012-05-12T01:01:38","indexId":"70003968","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A global earthquake discrimination scheme to optimize ground-motion prediction equation selection","docAbstract":"We present a new automatic earthquake discrimination procedure to determine in near-real time the tectonic regime and seismotectonic domain of an earthquake, its most likely source type, and the corresponding ground-motion prediction equation (GMPE) class to be used in the U.S. Geological Survey (USGS) Global ShakeMap system. This method makes use of the Flinn&ndash;Engdahl regionalization scheme, seismotectonic information (plate boundaries, global geology, seismicity catalogs, and regional and local studies), and the source parameters available from the USGS National Earthquake Information Center in the minutes following an earthquake to give the best estimation of the setting and mechanism of the event. Depending on the tectonic setting, additional criteria based on hypocentral depth, style of faulting, and regional seismicity may be applied. For subduction zones, these criteria include the use of focal mechanism information and detailed interface models to discriminate among outer-rise, upper-plate, interface, and intraslab seismicity. The scheme is validated against a large database of recent historical earthquakes. Though developed to assess GMPE selection in Global ShakeMap operations, we anticipate a variety of uses for this strategy, from real-time processing systems to any analysis involving tectonic classification of sources from seismic catalogs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"Albany, CA","doi":"10.1785/0120110124","usgsCitation":"Garcia, D., Wald, D.J., and Hearne, M., 2012, A global earthquake discrimination scheme to optimize ground-motion prediction equation selection: Bulletin of the Seismological Society of America, v. 102, no. 1, p. 185-203, https://doi.org/10.1785/0120110124.","productDescription":"19 p.","startPage":"185","endPage":"203","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":254745,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254742,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110124","linkFileType":{"id":5,"text":"html"}}],"volume":"102","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-02-15","publicationStatus":"PW","scienceBaseUri":"5059e409e4b0c8380cd46383","contributors":{"authors":[{"text":"Garcia, Daniel","contributorId":80559,"corporation":false,"usgs":true,"family":"Garcia","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":349781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":349780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hearne, Michael","contributorId":91377,"corporation":false,"usgs":true,"family":"Hearne","given":"Michael","affiliations":[],"preferred":false,"id":349782,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038345,"text":"ofr20121073 - 2012 - Winter ecology and habitat use of lesser prairie-chickens in west Texas, 2008-11","interactions":[],"lastModifiedDate":"2012-05-11T01:01:41","indexId":"ofr20121073","displayToPublicDate":"2012-05-10T00:00:00","publicationYear":"2012","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":"2012-1073","title":"Winter ecology and habitat use of lesser prairie-chickens in west Texas, 2008-11","docAbstract":"The lesser prairie-chicken (Tympanuchus pallidicinctus) has experienced declines in population and occupied range by more than 90 percent since the late 1800s. The lesser prairie-chicken has been listed as a candidate species for protection under the Endangered Species Act and is undergoing review for actual listing. Populations and distribution of lesser prairie-chickens in Texas are thought to be at or near all time lows. These factors have led to substantially increased concern for conservation of the species. It is apparent that sound management and conservation strategies for lesser prairie-chickens are necessary to ensure the long-term persistence of the species. To develop those strategies, basic ecological information is required. Currently, there is a paucity of data on the wintering ecology of the species. We examined home range, habitat use, and survival of lesser prairie-chickens during the winters of 2008&ndash;9, 2009&ndash;10, and 2010&ndash;11 in sand shinnery oak (Quercus havardii) landscapes in west Texas. We captured and radio-tagged 53 adult lesser prairie-chickens. We obtained sufficient locations to estimate winter home-range size for 23 individuals. Home-range size did not differ between years or by sex. Although female prairie-chickens had slightly larger home ranges (503.5 &plusmn; 34.9 ha) compared to males (489.1 &plusmn; 34.9 ha), the differences were not significant (<i>t</i><sub>2</sub> = 0.05, P = 0.96). During the nonbreeding season, we found that 97.2 percent of locations of male and female prairie-chickens alike were within 3.2 kilometers (km) of the lek of capture. Most locations (96.8%) were within 1.7 km of a known lek and almost all locations (99.9%) were within 3.2 km of an available water source. Habitat cover types were not used proportional to occurrence within the home ranges, grassland dominated areas with sand shinnery oak were used more than available, and sand sagebrush (Artemisia filifolia) areas dominated with grassland as well as sand sagebrush areas dominated with bare ground were both used less than available. Survival rates during the first 2 years (year 1: 0.846 &plusmn; 0.141; year 2: 0.827 &plusmn; 0.092) were among the highest ever reported for the species during the nonbreeding season. Survival was markedly decreased in year 3 (0.572 &plusmn; 0.136) and resulted in an overall nonbreeding season average of 0.721 (&plusmn; 0.0763). These are still among the highest survival rates reported for the species; it does not appear that winter season mortality is a strong limiting factor in lesser prairie-chicken persistence in the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121073","collaboration":"Prepared in cooperation with Texas Parks and Wildlife Department","usgsCitation":"Boal, C.W., and Pirius, N.E., 2012, Winter ecology and habitat use of lesser prairie-chickens in west Texas, 2008-11: U.S. Geological Survey Open-File Report 2012-1073, vi, 9 p., https://doi.org/10.3133/ofr20121073.","productDescription":"vi, 9 p.","startPage":"i","endPage":"9","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":203,"text":"Cooperative Research Unit Atlanta","active":false,"usgs":true}],"links":[{"id":254719,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1073.gif"},{"id":254715,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1073/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd148e4b08c986b32f336","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":463920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pirius, Nicholas E.","contributorId":57702,"corporation":false,"usgs":true,"family":"Pirius","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":463921,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038349,"text":"sir20125074 - 2012 - Development and implementation of a regression model for predicting recreational water quality in the Cuyahoga River, Cuyahoga Valley National Park, Ohio 2009-11","interactions":[],"lastModifiedDate":"2012-05-11T01:01:41","indexId":"sir20125074","displayToPublicDate":"2012-05-10T00:00:00","publicationYear":"2012","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":"2012-5074","title":"Development and implementation of a regression model for predicting recreational water quality in the Cuyahoga River, Cuyahoga Valley National Park, Ohio 2009-11","docAbstract":"The Cuyahoga River within Cuyahoga Valley National Park (CVNP) is at times impaired for recreational use due to elevated concentrations of Escherichia coli (E. coli), a fecal-indicator bacterium. During the recreational seasons of mid-May through September during 2009&ndash;11, samples were collected 4 days per week and analyzed for E. coli concentrations at two sites within CVNP. Other water-quality and environ-mental data, including turbidity, rainfall, and streamflow, were measured and (or) tabulated for analysis. Regression models developed to predict recreational water quality in the river were implemented during the recreational seasons of 2009&ndash;11 for one site within CVNP&ndash;Jaite. For the 2009 and 2010 seasons, the regression models were better at predicting exceedances of Ohio's single-sample standard for primary-contact recreation compared to the traditional method of using the previous day's E. coli concentration. During 2009, the regression model was based on data collected during 2005 through 2008, excluding available 2004 data. The resulting model for 2009 did not perform as well as expected (based on the calibration data set) and tended to overestimate concentrations (correct responses at 69 percent). During 2010, the regression model was based on data collected during 2004 through 2009, including all of the available data. The 2010 model performed well, correctly predicting 89 percent of the samples above or below the single-sample standard, even though the predictions tended to be lower than actual sample concentrations. During 2011, the regression model was based on data collected during 2004 through 2010 and tended to overestimate concentrations. The 2011 model did not perform as well as the traditional method or as expected, based on the calibration dataset (correct responses at 56 percent). At a second site&mdash;Lock 29, approximately 5 river miles upstream from Jaite, a regression model based on data collected at the site during the recreational seasons of 2008&ndash;10 also did not perform as well as the traditional method or as well as expected (correct responses at 60 percent). Above normal precipitation in the region and a delayed start to the 2011 sampling season (sampling began mid-June) may have affected how well the 2011 models performed. With these new data, however, updated regression models may be better able to predict recreational water quality conditions due to the increased amount of diverse water quality conditions included in the calibration data. Daily recreational water-quality predictions for Jaite were made available on the Ohio Nowcast Web site at www.ohionowcast.info. Other public outreach included signage at trailheads in the park, articles in the park's quarterly-published schedule of events and volunteer newsletters. A U.S. Geological Survey Fact Sheet was also published to bring attention to water-quality issues in the park.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125074","usgsCitation":"Brady, A., and Plona, M.B., 2012, Development and implementation of a regression model for predicting recreational water quality in the Cuyahoga River, Cuyahoga Valley National Park, Ohio 2009-11: U.S. Geological Survey Scientific Investigations Report 2012-5074, iv, 14 p., https://doi.org/10.3133/sir20125074.","productDescription":"iv, 14 p.","startPage":"i","endPage":"14","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-05-15","temporalEnd":"2011-09-30","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":254722,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5074.gif"},{"id":254718,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5074/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Ohio","otherGeospatial":"Cuyahoga River;Cuyahoga Valley National Park","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0024e4b0c8380cd4f5ed","contributors":{"authors":[{"text":"Brady, Amie M. G.","contributorId":29774,"corporation":false,"usgs":true,"family":"Brady","given":"Amie M. G.","affiliations":[],"preferred":false,"id":463927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plona, Meg B.","contributorId":46470,"corporation":false,"usgs":true,"family":"Plona","given":"Meg","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":463928,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038350,"text":"ds683 - 2012 - Energy map of southwestern Wyoming, Part A - Coal and wind","interactions":[],"lastModifiedDate":"2012-05-11T01:01:41","indexId":"ds683","displayToPublicDate":"2012-05-10T00:00:00","publicationYear":"2012","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":"683","title":"Energy map of southwestern Wyoming, Part A - Coal and wind","docAbstract":"To further advance the objectives of the Wyoming Landscape Conservation Initiative (WLCI) the U.S. Geological Survey (USGS) and the Wyoming State Geological Survey (WSGS) have compiled Part A of the Energy Map of Southwestern Wyoming. Focusing primarily on electrical power sources, Part A of the energy map is a compilation of both published and previously unpublished coal (including coalbed gas) and wind energy resources data, presented in a Geographic Information System (GIS) data package. Energy maps, data, documentation and spatial data processing capabilities are available in a geodatabase, published map file (pmf), ArcMap document (mxd), Adobe Acrobat PDF map (plate 1) and other digital formats that can be downloaded at the USGS website. Accompanying the map (plate 1) and the geospatial data are four additional plates that describe the geology, energy resources, and related infrastructure. These tabular plates include coal mine (plate 2), coal field (plate 3), coalbed gas assessment unit (plate 4), and wind farm (plate 5) information with hyperlinks to source publications and data on the internet. The plates can be printed and examined in hardcopy, or accessed digitally. The data represent decades of research by the USGS, WSGS, BLM and others, and can facilitate landscape-level science assessments, and resource management decisionmaking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds683","usgsCitation":"Biewick, L., and Jones, N.R., 2012, Energy map of southwestern Wyoming, Part A - Coal and wind: U.S. Geological Survey Data Series 683, iv, 18 p.; 1 Table; Table 1: 48 inches x 33 inches; 5 Plates; Plate 1: 33 inches x 34 inches, Plate 2: 51 inches x 33 inches, Plate 3: 60 inches x 21 inches, Plate 4: 44 inches x 27 inches, Plate 5: 32 inches x 34 inches; Metadata; Datafiles, https://doi.org/10.3133/ds683.","productDescription":"iv, 18 p.; 1 Table; Table 1: 48 inches x 33 inches; 5 Plates; Plate 1: 33 inches x 34 inches, Plate 2: 51 inches x 33 inches, Plate 3: 60 inches x 21 inches, Plate 4: 44 inches x 27 inches, Plate 5: 32 inches x 34 inches; Metadata; Datafiles","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":254725,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_683.png"},{"id":254723,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/683/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","county":"Carbon;Fremont;Lincoln;Sublette;Sweetwater;Uinta","otherGeospatial":"Great Divide Basin;Green River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.05027777777778,40.984722222222224 ], [ -111.05027777777778,45 ], [ -104.05083333333333,45 ], [ -104.05083333333333,40.984722222222224 ], [ -111.05027777777778,40.984722222222224 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a094ae4b0c8380cd51e66","contributors":{"authors":[{"text":"Biewick, Laura","contributorId":83148,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura","affiliations":[],"preferred":false,"id":463930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Nicholas R.","contributorId":14233,"corporation":false,"usgs":true,"family":"Jones","given":"Nicholas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":463929,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038348,"text":"ofr20121075 - 2012 - Fecal-indicator bacteria concentrations in the Illinois River between Hennepin and Peoria, Illinois: 2007-08","interactions":[],"lastModifiedDate":"2012-05-17T01:01:41","indexId":"ofr20121075","displayToPublicDate":"2012-05-10T00:00:00","publicationYear":"2012","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":"2012-1075","title":"Fecal-indicator bacteria concentrations in the Illinois River between Hennepin and Peoria, Illinois: 2007-08","docAbstract":"The Illinois Environmental Protection Agency has designated portions of the Illinois River in Peoria, Woodford, and Tazewell Counties, Illinois, as impaired owing to the presence of fecal coliform bacteria. The U.S. Geological Survey, in cooperation with the Tri-County Regional Planning Commission, examined the water quality in the Illinois River and major tributaries within a 47-mile reach between Peoria and Hennepin, Ill., during water year 2008 (October 2007&ndash;September 2008). Investigations included synoptic (snapshot) sampling at multiple locations in a 1-day period: once in October 2007 during lower streamflow conditions, and again in June 2008 during higher streamflow conditions. Five locations in the study area were monitored for the entire year at monthly or more frequent intervals. Two indicator bacteria were analyzed in each water sample: fecal coliform and <i>Escherichia coli</i> (<i>E. coli</i>). Streamflow information from previously established monitoring locations in the study area was used in the analysis. Correlation analyses were used to characterize the relation between the two fecal-indicator bacteria and the relation of either indicator to streamflow. Concentrations of the two measured fecal-indicator bacteria correlated well for all samples analyzed (r = 0.94, p <0.001), indicating a strong linear correlation. Presence of one fecal-indicator bacteria generally indicates the presence of another at a similar magnitude and may support substitution of generalized data gaps for other analyses. Hydrologic conditions during the study period can be characterized as wetter than normal, with the mean annual flow in the Illinois River about 37-percent above the long-term average. However, for the Illinois River below Peoria Lake at Peoria, a statistically significant negative correlation coefficient indicates a weak inverse relation between values of streamflow and fecal-indicator bacteria (fecal coliform rho = -0.44, p = 0.0129; <i>E. coli</i>: rho = -0.43, p = 0.0157). The correlation between fecal indicators and streamflow in tributaries or in the Illinois River at Hennepin was found to be statistically significant, yet moderate in strength with coefficient values ranging from r = 0.4 to 0.6. Indirect observations from the June 2008 higher flow synoptic event may indicate continued effects from combined storm and sanitary sewers in the vicinity of the Illinois River near Peoria, Ill., contributing to observed single-sample exceedance of the State criterion for fecal coliform.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121075","collaboration":"Prepared in cooperation with the Tri-County Regional Planning Commission","usgsCitation":"Dupre, D.H., Hortness, J., Terrio, P.J., and Sharpe, J.B., 2012, Fecal-indicator bacteria concentrations in the Illinois River between Hennepin and Peoria, Illinois: 2007-08: U.S. Geological Survey Open-File Report 2012-1075, v, 32 p., https://doi.org/10.3133/ofr20121075.","productDescription":"v, 32 p.","startPage":"i","endPage":"32","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":254721,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1075.gif"},{"id":254717,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1075/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois","city":"Hennepin;Peoria","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0f4ae4b0c8380cd5385e","contributors":{"authors":[{"text":"Dupre, David H. dhdupre@usgs.gov","contributorId":2782,"corporation":false,"usgs":true,"family":"Dupre","given":"David","email":"dhdupre@usgs.gov","middleInitial":"H.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hortness, Jon 0000-0002-9809-2876 hortness@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-2876","contributorId":3601,"corporation":false,"usgs":true,"family":"Hortness","given":"Jon","email":"hortness@usgs.gov","affiliations":[],"preferred":true,"id":463926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terrio, Paul J. 0000-0002-1515-9570 pjterrio@usgs.gov","orcid":"https://orcid.org/0000-0002-1515-9570","contributorId":3313,"corporation":false,"usgs":true,"family":"Terrio","given":"Paul","email":"pjterrio@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463924,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038324,"text":"fs20123055 - 2012 - Landsat's international partners","interactions":[],"lastModifiedDate":"2012-10-25T17:16:18","indexId":"fs20123055","displayToPublicDate":"2012-05-08T00:00:00","publicationYear":"2012","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":"2012-3055","title":"Landsat's international partners","docAbstract":"Since the launch of the first Landsat satellite 40 years ago, International Cooperators (ICs) have formed a key strategic alliance with the U.S. Geological Survey (USGS) to not only engage in Landsat data downlink services but also to enable a foundation for scientific and technical collaboration.\r\nThe map below shows the locations of all ground stations operated by the United States and IC ground station network for the direct downlink and distribution of Landsat 5 (L5) and Landsat 7 (L7) image data. The circles show the approximate area over which each station has the capability for direct reception of Landsat data. The red circles show the components of the L5 ground station network, the green circles show components of the L7 station network, and the dashed circles show stations with dual (L5 and L7) status. The yellow circles show L5 short-term (\"campaign\") stations that contribute to the USGS Landsat archive. \r\nGround stations in South Dakota and Australia currently serve as the primary data capture facilities for the USGS Landsat Ground Network (LGN). The Landsat Ground Station (LGS) is located at the USGS Earth Resources Observation and Science (EROS) Center in Sioux Falls, South Dakota. The Alice Springs (ASN) ground station is located at the Geoscience Australia facility in Alice Springs, Australia. These sites receive the image data, via X-band Radio Frequency (RF) link, and the spacecraft housekeeping data, via S-band RF link. LGS also provides tracking services and a command link to the spacecrafts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123055","usgsCitation":"Byrnes, R.A., 2012, Landsat's international partners: U.S. Geological Survey Fact Sheet 2012-3055, 2 p., https://doi.org/10.3133/fs20123055.","productDescription":"2 p.","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":254710,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3055.gif"},{"id":262789,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3055/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Argentina;Australia;Brazil;Canada;China;Germany;Indonesia;Italy;Japan;Kenya;Mexico;Russia;South Africa;Thailand","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43efe4b0c8380cd666ec","contributors":{"authors":[{"text":"Byrnes, Raymond A. rbyrnes@usgs.gov","contributorId":4779,"corporation":false,"usgs":true,"family":"Byrnes","given":"Raymond","email":"rbyrnes@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":463883,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038321,"text":"ofr20111041 - 2012 - Continuous resistivity profiling data from Northport Harbor and Manhasset Bay, Long Island, New York","interactions":[],"lastModifiedDate":"2018-05-02T21:25:46","indexId":"ofr20111041","displayToPublicDate":"2012-05-08T00:00:00","publicationYear":"2012","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":"2011-1041","title":"Continuous resistivity profiling data from Northport Harbor and Manhasset Bay, Long Island, New York","docAbstract":"An investigation of coastal groundwater systems was performed along the North Shore of Long Island, New York, during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The embayments are bounded by steep moraines and are underlain by thick, fine-grained sediments deposited in proglacial lakes during the last ice age. Beach sand and gravel overlie the glacial deposits along the coast. The continuous resistivity profiling (CRP) surveys that were conducted indicate the existence of low-salinity groundwater in shore-parallel bands, typically 25 to 50 meters wide, along the shorelines of both bays. Piezometer sampling and seepage meter deployments in intertidal and subtidal areas of the two bays confirmed the presence and discharge of brackish and low-salinity groundwater. The large tidal ranges (up to 3 meters) and the steep onshore topography and hydraulic gradients are important variables controlling coastal groundwater discharge in these areas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111041","usgsCitation":"Cross, V., Bratton, J., Crusius, J., Kroeger, K., and Worley, C., 2012, Continuous resistivity profiling data from Northport Harbor and Manhasset Bay, Long Island, New York: U.S. Geological Survey Open-File Report 2011-1041, HTML Document, https://doi.org/10.3133/ofr20111041.","productDescription":"HTML Document","onlineOnly":"Y","temporalStart":"2008-05-01","temporalEnd":"2008-05-31","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":254709,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1041.gif"},{"id":254708,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1041/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Long Island;Northport Harbor;Northport Bay;Manhasset Bay;Long Island Sound","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"MultiPolygon\", \"coordinates\": [[[[-73.72276875990264, 40.83728198245097], [-73.71287040622362, 40.83844247908911], [-73.70788709713008, 40.83287892167651], [-73.70426242133783, 40.838344584459485], [-73.70030973672738, 40.834756195650115], [-73.70521600985131, 40.82348449679067], [-73.70322936711489, 40.81482273445947], [-73.71089073548785, 40.806801879570386], [-73.7105494129471, 40.796026326961794], [-73.71928144042562, 40.819511211317604], [-73.73177967497593, 40.82652690919479], [-73.72751314321772, 40.83888619839205], [-73.72276875990264, 40.83728198245097]]], [[[-73.36273809459459, 40.89018145945954], [-73.36243633783776, 40.888026054054144], [-73.36385890540531, 40.89005213513512], [-73.36362764792995, 40.89527339297847], [-73.36105687837829, 40.89733740540543], [-73.36273809459459, 40.89018145945954]]], [[[-73.35330058687731, 40.89930892060271], [-73.35872904054054, 40.890784972973044], [-73.35890147297295, 40.90104470270284], [-73.36747998648644, 40.90755402702698], [-73.35877214864865, 40.911649297297295], [-73.35330058687731, 40.89930892060271]]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-73.73177967497593, 40.796026326961794, -73.35293106868511, 40.911821729729695], \"type\": \"Feature\", \"id\": \"3091946\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fa5fe4b0c8380cd4da90","contributors":{"authors":[{"text":"Cross, V.A.","contributorId":88687,"corporation":false,"usgs":true,"family":"Cross","given":"V.A.","email":"","affiliations":[],"preferred":false,"id":463877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bratton, J.F.","contributorId":94354,"corporation":false,"usgs":true,"family":"Bratton","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":463878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":463875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kroeger, K.D.","contributorId":26060,"corporation":false,"usgs":true,"family":"Kroeger","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":463874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Worley, C.R.","contributorId":43479,"corporation":false,"usgs":true,"family":"Worley","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":463876,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159021,"text":"70159021 - 2012 - Spectroscopic remote sensing for material identification, vegetation characterization, and mapping","interactions":[],"lastModifiedDate":"2021-10-27T16:51:18.36347","indexId":"70159021","displayToPublicDate":"2012-05-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Spectroscopic remote sensing for material identification, vegetation characterization, and mapping","docAbstract":"<p><span>Identifying materials by measuring and analyzing their reflectance spectra has been an important procedure in analytical chemistry for decades. Airborne and space-based imaging spectrometers allow materials to be mapped across the landscape. With many existing airborne sensors and new satellite-borne sensors planned for the future, robust methods are needed to fully exploit the information content of hyperspectral remote sensing data. A method of identifying and mapping materials using spectral feature analyses of reflectance data in an expert-system framework called MICA (Material Identification and Characterization Algorithm) is described. MICA is a module of the PRISM (Processing Routines in IDL for Spectroscopic Measurements) software, available to the public from the U.S. Geological Survey (USGS) at http://pubs.usgs.gov/of/2011/1155/. The core concepts of MICA include continuum removal and linear regression to compare key diagnostic absorption features in reference laboratory/field spectra and the spectra being analyzed. The reference spectra, diagnostic features, and threshold constraints are defined within a user-developed MICA command file (MCF). Building on several decades of experience in mineral mapping, a broadly-applicable MCF was developed to detect a set of minerals frequently occurring on the Earth's surface and applied to map minerals in the country-wide coverage of the 2007 Afghanistan HyMap data set. MICA has also been applied to detect sub-pixel oil contamination in marshes impacted by the Deepwater Horizon incident by discriminating the C-H absorption features in oil residues from background vegetation. These two recent examples demonstrate the utility of a spectroscopic approach to remote sensing for identifying and mapping the distributions of materials in imaging spectrometer data.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XVIII: 23-27 April 2012, Baltimore, Maryland, United States","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XVIII","conferenceDate":"April 23-27 2012","conferenceLocation":"Baltimore, Maryland","language":"English","publisher":"SPIE","doi":"10.1117/12.919121","usgsCitation":"Kokaly, R., 2012, Spectroscopic remote sensing for material identification, vegetation characterization, and mapping, <i>in</i> Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XVIII: 23-27 April 2012, Baltimore, Maryland, United States, v. 8390, Baltimore, Maryland, April 23-27 2012, 839014, https://doi.org/10.1117/12.919121.","productDescription":"839014","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037432","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":309852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8390","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561e2b39e4b0cdb063e59cee","contributors":{"editors":[{"text":"Lewis, Paul E.","contributorId":149198,"corporation":false,"usgs":false,"family":"Lewis","given":"Paul","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":577278,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Shen, Sylvia S.","contributorId":149199,"corporation":false,"usgs":false,"family":"Shen","given":"Sylvia","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":577279,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Kokaly, Raymond F. 0000-0003-0276-7101 raymond@usgs.gov","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":1785,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","email":"raymond@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":577280,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038318,"text":"ofr20121050 - 2012 - Trace-element analyses of core samples from the 1967-1988 drillings of Kilauea Iki lava lake, Hawaii","interactions":[],"lastModifiedDate":"2019-05-30T12:26:31","indexId":"ofr20121050","displayToPublicDate":"2012-05-07T15:04:00","publicationYear":"2012","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":"2012-1050","title":"Trace-element analyses of core samples from the 1967-1988 drillings of Kilauea Iki lava lake, Hawaii","docAbstract":"This report presents previously unpublished analyses of trace elements in drill core samples from Kilauea Iki lava lake and from the 1959 eruption that fed the lava lake. The two types of data presented were obtained by instrumental neutron-activation analysis (INAA) and energy-dispersive X-ray fluorescence analysis (EDXRF). The analyses were performed in U.S. Geological Survey (USGS) laboratories from 1989 to 1994. This report contains 93 INAA analyses on 84 samples and 68 EDXRF analyses on 68 samples. The purpose of the study was to document trace-element variation during chemical differentiation, especially during the closed-system differentiation of Kilauea Iki lava lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121050","usgsCitation":"Helz, R.T., 2012, Trace-element analyses of core samples from the 1967-1988 drillings of Kilauea Iki lava lake, Hawaii: U.S. Geological Survey Open-File Report 2012-1050, iv, 27 p.; Tables, https://doi.org/10.3133/ofr20121050.","productDescription":"iv, 27 p.; Tables","costCenters":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":254699,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1050.gif"},{"id":254696,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1050/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Iki Lava Lake","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb67ae4b08c986b326cb3","contributors":{"authors":[{"text":"Helz, Rosalind Tuthill 0000-0003-1550-0684","orcid":"https://orcid.org/0000-0003-1550-0684","contributorId":85587,"corporation":false,"usgs":true,"family":"Helz","given":"Rosalind","email":"","middleInitial":"Tuthill","affiliations":[],"preferred":false,"id":463857,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038317,"text":"sir20125089 - 2012 - Bathymetric and underwater video survey of Lower Granite Reservoir and vicinity, Washington and Idaho, 2009-10","interactions":[],"lastModifiedDate":"2012-05-08T01:01:39","indexId":"sir20125089","displayToPublicDate":"2012-05-07T14:26:00","publicationYear":"2012","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":"2012-5089","title":"Bathymetric and underwater video survey of Lower Granite Reservoir and vicinity, Washington and Idaho, 2009-10","docAbstract":"The U.S. Geological Survey conducted a bathymetric survey of the Lower Granite Reservoir, Washington, using a multibeam echosounder, and an underwater video mapping survey during autumn 2009 and winter 2010. The surveys were conducted as part of the U.S. Army Corps of Engineer's study on sediment deposition and control in the reservoir. The multibeam echosounder survey was performed in 1-mile increments between river mile (RM) 130 and 142 on the Snake River, and between RM 0 and 2 on the Clearwater River. The result of the survey is a digital elevation dataset in ASCII coordinate positioning data (easting, northing, and elevation) useful in rendering a 3&times;3-foot point grid showing bed elevation and reservoir geomorphology. The underwater video mapping survey was conducted from RM 107.73 to 141.78 on the Snake River and RM 0 to 1.66 on the Clearwater River, along 61 U.S. Army Corps of Engineers established cross sections, and dredge material deposit transects. More than 900 videos and 90 bank photographs were used to characterize the sediment facies and ground-truth the multibeam echosounder data. Combined, the surveys were used to create a surficial sediment facies map that displays type of substrate, level of embeddedness, and presence of silt.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125089","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Williams, M.L., Fosness, R.L., and Weakland, R.J., 2012, Bathymetric and underwater video survey of Lower Granite Reservoir and vicinity, Washington and Idaho, 2009-10: U.S. Geological Survey Scientific Investigations Report 2012-5089, iv, 10 p.; Appendices; Figure Downloads, https://doi.org/10.3133/sir20125089.","productDescription":"iv, 10 p.; Appendices; Figure Downloads","additionalOnlineFiles":"Y","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":254695,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5089/","linkFileType":{"id":5,"text":"html"}},{"id":254700,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5089.jpg"}],"country":"United States","state":"Washington;Idaho","otherGeospatial":"Lower Granite Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.51666666666667,46.36666666666667 ], [ -117.51666666666667,46.7 ], [ -116.9,46.7 ], [ -116.9,46.36666666666667 ], [ -117.51666666666667,46.36666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f000e4b0c8380cd4a563","contributors":{"authors":[{"text":"Williams, Marshall L. mlwilliams@usgs.gov","contributorId":1444,"corporation":false,"usgs":true,"family":"Williams","given":"Marshall","email":"mlwilliams@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weakland, Rhonda J. weakland@usgs.gov","contributorId":3541,"corporation":false,"usgs":true,"family":"Weakland","given":"Rhonda","email":"weakland@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":463856,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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