{"pageNumber":"1953","pageRowStart":"48800","pageSize":"25","recordCount":184617,"records":[{"id":70037138,"text":"70037138 - 2010 - A new look at photometry of the Moon","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037138","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"A new look at photometry of the Moon","docAbstract":"We use ROLO photometry (Kieffer, H.H., Stone, T.C. [2005]. Astron. J. 129, 2887-2901) to characterize the before and after full Moon radiance variation for a typical highlands site and a typical mare site. Focusing on the phase angle range 45??. <. ??<. 50??, we test two different physical models, macroscopic roughness and multiple scattering between regolith particles, for their ability to quantitatively reproduce the measured radiance difference. Our method for estimating the rms slope angle is unique and model-independent in the sense that the measured radiance factor I/. F at small incidence angles (high Sun) is used as an estimate of I/. F for zero roughness regolith. The roughness is determined from the change in I/. F at larger incidence angles. We determine the roughness for 23 wavelengths from 350 to 939. nm. There is no significant wavelength dependence. The average rms slope angle is 22.2?? ?? 1.3?? for the mare site and 34.1?? ?? 2.6?? for the highland site. These large slopes, which are similar to previous \"photometric roughness\" estimates, require that sub-mm scale \"micro-topography\" dominates roughness measurements based on photometry, consistent with the conclusions of Helfenstein and Shepard (Helfenstein, P., Shepard, M.K. [1999]. Icarus 141, 107-131). We then tested an alternative and very different model for the before and after full Moon I/. F variation: multiple scattering within a flat layer of realistic regolith particles. This model consists of a log normal size distribution of spheres that match the measured distribution of particles in a typical mature lunar soil 72141,1 (McKay, D.S., Fruland, R.M., Heiken, G.H. [1974]. Proc. Lunar Sci. Conf. 5, Geochim. Cosmochim. Acta 1 (5), 887-906). The model particles have a complex index of refraction 1.65-0.003. i, where 1.65 is typical of impact-generated lunar glasses. Of the four model parameters, three were fixed at values determined from Apollo lunar soils: the mean radius and width of the log normal size distribution and the real part of the refraction index. We used FORTRAN programs from Mishchenko et al. (Mishchenko, M.I., Dlugach, J.M., Yanovitskij, E.G., Zakharova, N.T. [1999]. J. Quant. Spectrosc. Radiat. Trans. 63, 409-432; Mishchenko, M.I., Travis, L.D., Lacis, A.A. [2002]. Scattering, Absorption and Emission of Light by Small Particles. Cambridge Univ. Press, New York. <. http://www.giss.nasa.gov/staff/mmishchenko/books.html>) to calculate the scattering matrix and solve the radiative transfer equation for I/. F. The mean single scattering albedo is ??=0.808, the asymmetry parameter is ???cos. ?????=0.77 and the phase function is very strongly peaked in both the forward and backward scattering directions. The fit to the observations for the highland site is excellent and multiply scattered photons contribute 80% of I/. F. We conclude that either model, roughness or multiple scattering, can match the observations, but that the strongly anisotropic phase functions of realistic particles require rigorous calculation of many orders of scattering or spurious photometric roughness estimates are guaranteed. Our multiple scattering calculation is the first to combine: (1) a regolith model matched to the measured particle size distribution and index of refraction of the lunar soil, (2) a rigorous calculation of the particle phase function and solution of the radiative transfer equation, and (3) application to lunar photometry with absolute radiance calibration. ?? 2010 Elsevier Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.icarus.2010.03.025","issn":"00191035","usgsCitation":"Goguen, J., Stone, T., Kieffer, H.H., and Buratti, B.J., 2010, A new look at photometry of the Moon: Icarus, v. 208, no. 2, p. 548-557, https://doi.org/10.1016/j.icarus.2010.03.025.","startPage":"548","endPage":"557","numberOfPages":"10","costCenters":[],"links":[{"id":217425,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2010.03.025"},{"id":245371,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"208","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e4a5e4b0c8380cd467d2","contributors":{"authors":[{"text":"Goguen, J.D.","contributorId":33950,"corporation":false,"usgs":true,"family":"Goguen","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":459556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, T.C.","contributorId":74874,"corporation":false,"usgs":true,"family":"Stone","given":"T.C.","email":"","affiliations":[],"preferred":false,"id":459559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kieffer, H. H.","contributorId":40725,"corporation":false,"usgs":false,"family":"Kieffer","given":"H.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":459557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":459558,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037143,"text":"70037143 - 2010 - Sediment discharges during storm flow from proximal urban and rural karst springs, central Kentucky, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037143","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Sediment discharges during storm flow from proximal urban and rural karst springs, central Kentucky, USA","docAbstract":"Since the mid-1990s, various studies have addressed the timing of sediment transport to karst springs during storm flow or the composition and provenance of sediment discharged from springs. However, relatively few studies have focused on the flow thresholds at which sediment is mobilized or total sediment yields across various time scales. We examined each of these topics for a mainly urban spring (Blue Hole) and a rural spring (SP-2) in the Inner Bluegrass region of central Kentucky (USA). Suspended sediment consisted mostly of quartz silt and sand, with lesser amounts of calcite and organic matter. Total suspended sediment (TSS) values measured during storm flow were greater at SP-2 than at Blue Hole. By aggregating data from four storms during 2 years, we found that median suspended-sediment size jumped as Q exceeded ???0.5 m<sup>3</sup>/s for both springs. At Blue Hole, TSS tended to vary with Q and capacity approached 1 g/L, but no systematic relationship between TSS and Q was evident at SP-2. Sediment fluxes from the Blue Hole basin were ???2 orders of magnitude greater for storms in March (2002 and 2004) than September (2002 and 2003). In contrast, sediment fluxes from the SP-2 basin were of similar magnitude in September 2003 and March 2004. The overall range of area-normalized fluxes for both springs, 9.16 ?? 10<sup>-3</sup>-4.45 ?? 10<sup>2</sup> kg/(ha h), overlaps values reported for farm plots and a stream in the Inner Bluegrass region and for other spring basins in the eastern USA and western Europe. Sediment compositions, sizes, and responses to storms in the basins may differ because of land use (e.g., the extent of impervious cover in the Blue Hole basin), basin size (larger for Blue Hole), conduit architecture, which appears to be more complex in the Blue Hole basin, and the impoundment of SP-2, which may have promoted decadal-scale storage of sediment upgradient. ?? 2009 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2009.12.043","issn":"00221694","usgsCitation":"Reed, T., Todd, M.J., Fryar, A., Fogle, A., and Taraba, J., 2010, Sediment discharges during storm flow from proximal urban and rural karst springs, central Kentucky, USA: Journal of Hydrology, v. 383, no. 3-4, p. 280-290, https://doi.org/10.1016/j.jhydrol.2009.12.043.","startPage":"280","endPage":"290","numberOfPages":"11","costCenters":[],"links":[{"id":217048,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2009.12.043"},{"id":244959,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"383","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8984e4b08c986b316e00","contributors":{"authors":[{"text":"Reed, T.M.","contributorId":95840,"corporation":false,"usgs":true,"family":"Reed","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":459590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, McFarland J.","contributorId":6340,"corporation":false,"usgs":true,"family":"Todd","given":"McFarland","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":459587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fryar, A.E.","contributorId":59928,"corporation":false,"usgs":true,"family":"Fryar","given":"A.E.","affiliations":[],"preferred":false,"id":459589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fogle, A.W.","contributorId":96051,"corporation":false,"usgs":true,"family":"Fogle","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":459591,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taraba, J.L.","contributorId":51062,"corporation":false,"usgs":true,"family":"Taraba","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":459588,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046763,"text":"dds49126 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: STATSGO Soil Characteristics","interactions":[],"lastModifiedDate":"2013-11-25T16:06:02","indexId":"dds49126","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-26","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: STATSGO Soil Characteristics","docAbstract":"This tabular data set represents estimated soil variables compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The variables included are cation exchange capacity, percent calcium carbonate, slope, water-table depth, soil thickness, hydrologic soil group, soil erodibility (k-factor), permeability, average water capacity, bulk density, percent organic material, percent clay, percent sand, and percent silt. The source data set is the State Soil ( STATSGO ) Geographic Database (Wolock, 1997). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49126","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: STATSGO Soil Characteristics: U.S. Geological Survey Data Series 491-26, Dataset, https://doi.org/10.3133/dds49126.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274427,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_statsgo.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f663e4b09630fbdc527d","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480184,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043468,"text":"70043468 - 2010 - A review of the genus Agapetus Curtis (Trichoptera: Glossosomatidae) in eastern and central North America, with description of 12 new species","interactions":[],"lastModifiedDate":"2016-08-24T12:10:35","indexId":"70043468","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2005,"text":"Insecta Mundi","active":true,"publicationSubtype":{"id":10}},"title":"A review of the genus Agapetus Curtis (Trichoptera: Glossosomatidae) in eastern and central North America, with description of 12 new species","docAbstract":"<p>Twenty-nine species of caddisflies in the genus <i>Agapetus Curtis</i> in eastern and central North America are reviewed. Twelve are described as new species: <i>Agapetus aphallus</i> (known only from females); <i>Agapetus baueri</i>, <i>Agapetus flinti</i>, <i>Agapetus harrisi</i>, <i>Agapetus hesperus</i>, <i>Agapetus ibis</i>, <i>Agapetus kirchneri</i>, <i>Agapetus meridionalis</i>, <i>Agapetus pegram</i>, <i>Agapetus ruiteri</i>, A<i>gapetus stylifer</i>, and <i>Agapetus tricornutus</i>. <i>Agapetus rossi</i> Denning 1941 is recognized as a junior subjective synonym of <i>Agapetus walkeri</i> (Betten and Mosely 1940), new synonym. A key to males is provided, and species&rsquo; distributions are mapped.</p>","language":"English","publisher":"Center for Systematic Entomology","usgsCitation":"Etnier, D.A., Parker, C.R., Baxter, J.T., and Long, T.M., 2010, A review of the genus Agapetus Curtis (Trichoptera: Glossosomatidae) in eastern and central North America, with description of 12 new species: Insecta Mundi, v. 149, 78 p.","productDescription":"78 p.","numberOfPages":"80","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025162","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":271671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271669,"type":{"id":15,"text":"Index Page"},"url":"https://journals.fcla.edu/mundi/article/view/76210"}],"country":"Canada, United States","state":"Alabama, Arkansas, Connecticut, Georgia, Idaho, Illinois, Indiana, Kentucky, Maine, Massachusetts, Minnesota, Mississippi, 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,{"id":70042397,"text":"70042397 - 2010 - Agriculture and food availability -- remote sensing of agriculture for food security monitoring in the developing world","interactions":[],"lastModifiedDate":"2013-01-14T09:46:19","indexId":"70042397","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1440,"text":"Earthzine","active":true,"publicationSubtype":{"id":10}},"title":"Agriculture and food availability -- remote sensing of agriculture for food security monitoring in the developing world","docAbstract":"For one-sixth of the world’s population - roughly 1 billion children, women and men - growing, buying or receiving adequate, affordable food to eat is a daily uncertainty. The World Monetary Fund reports that food prices worldwide increased 43 percent in 2007-2008, and unpredictable growing conditions make subsistence farming, on which many depend, a risky business. Scientists with the U.S. Geological Survey (USGS) are part of a network of both private and government institutions that monitor food security in many of the poorest nations in the world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthzine","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"Washington, D.C","usgsCitation":"Budde, M.E., Rowland, J., and Funk, C.C., 2010, Agriculture and food availability -- remote sensing of agriculture for food security monitoring in the developing world: Earthzine.","ipdsId":"IP-017441","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":265614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265613,"type":{"id":11,"text":"Document"},"url":"https://www.earthzine.org/2010/02/08/agriculture-and-food-availabilityremote-sensing-of-agriculture-for-food-security-monitoring-in-the-developing-world/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f536f5e4b0114312ab01d6","contributors":{"authors":[{"text":"Budde, Michael E. 0000-0002-9098-2751 mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":3007,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":471463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":3108,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":471464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":471462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037613,"text":"70037613 - 2010 - Preemption games: theory and experiment","interactions":[],"lastModifiedDate":"2019-02-07T12:24:41","indexId":"70037613","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":712,"text":"American Economic Review","active":true,"publicationSubtype":{"id":10}},"title":"Preemption games: theory and experiment","docAbstract":"El Mut&uacute;n, perhaps the world's largest remaining iron ore deposit, was opened to private investors in the 1980s but, due to the high cost of developing the remote Bolivian site, there were no takers for two decades. In late 2005, spurred by rising commodity prices, the Brazilian company EBX finally seized the opportunity, preempting rivals based in China and India. Numerous similar examples can be found in the annals of mining and oil companies (Raymond F. Mikesell et al. 1971).","language":"English","publisher":"American Economic Association","publisherLocation":"Nashville, TN","doi":"10.1257/aer.100.4.1778","issn":"00028282","usgsCitation":"Anderson, S.T., Friedman, D., and Oprea, R., 2010, Preemption games: theory and experiment: American Economic Review, v. 100, no. 4, p. 1778-1803, https://doi.org/10.1257/aer.100.4.1778.","productDescription":"26 p.","startPage":"1778","endPage":"1803","ipdsId":"IP-013930","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":475902,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.aeaweb.org/articles.php?doi=10.1257/aer.100.4.1778","text":"External Repository"},{"id":246084,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218102,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1257/aer.100.4.1778"}],"volume":"100","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a820ae4b0c8380cd7b886","contributors":{"authors":[{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":461920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Daniel","contributorId":69435,"corporation":false,"usgs":true,"family":"Friedman","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":461922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oprea, Ryan","contributorId":54085,"corporation":false,"usgs":true,"family":"Oprea","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":461921,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037123,"text":"70037123 - 2010 - Diurnal variation in invertebrate catch rates by sticky traps: Potential for biased indices of piping plover forage","interactions":[],"lastModifiedDate":"2017-08-31T10:41:35","indexId":"70037123","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Diurnal variation in invertebrate catch rates by sticky traps: Potential for biased indices of piping plover forage","docAbstract":"<p>Measuring abundance of invertebrate forage for piping plovers (Charadrius melodus; hereafter plovers), a federally listed species in the USA, is an important component of research and monitoring targeted toward species recovery. Sticky traps are commonly used to passively sample invertebrates, but catch rates may vary diurnally or in response to weather. We examined diurnal variation in catch rates of invertebrates using an experiment on reservoir shoreline and riverine sandbar habitats of the Upper Missouri River in 2006 and 2008. Highest catch rates of large invertebrates (&gt;3 mm) on dry sand habitats occurred during 08:00-11:00 Central Daylight Time (CDT) on the reservoir and 08:00-14:00 CDT on the river. On wet sand habitats, catch rates were lowest during 17:00-20:00 on both the reservoir and the river. Catch rates decreased 24% for every 10 kph increase in wind. Sticky traps deployed continuously for 12 h or more had lower catch rates than four consecutive-composited 3-hour deployments, suggesting that trap effectiveness declined for &gt;3-hour deployments. Thus, if sticky traps are used to index plover forage abundance without controlling for time of day and wind speed, data may be highly variable or estimates could be biased.&nbsp;</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s13157-010-0066-2","issn":"02775212","usgsCitation":"Anteau, M., and Sherfy, M., 2010, Diurnal variation in invertebrate catch rates by sticky traps: Potential for biased indices of piping plover forage: Wetlands, v. 30, no. 4, p. 757-762, https://doi.org/10.1007/s13157-010-0066-2.","productDescription":"6 p.","startPage":"757","endPage":"762","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":245115,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217192,"rank":9999,"type":{"id":10,"text":"Digital Object 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]\n}","volume":"30","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-05-19","publicationStatus":"PW","scienceBaseUri":"505a0343e4b0c8380cd503c5","contributors":{"authors":[{"text":"Anteau, M.J.","contributorId":12807,"corporation":false,"usgs":true,"family":"Anteau","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":459492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherfy, M. H. 0000-0003-3016-4105","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":42561,"corporation":false,"usgs":true,"family":"Sherfy","given":"M. H.","affiliations":[],"preferred":false,"id":459493,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037124,"text":"70037124 - 2010 - A simplified In Situ cosmogenic 14C extraction system","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037124","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3225,"text":"Radiocarbon","active":true,"publicationSubtype":{"id":10}},"title":"A simplified In Situ cosmogenic 14C extraction system","docAbstract":"We describe the design, construction, and testing of a new, simplified in situ radiocarbon extraction system at the University of Arizona. Blank levels for the new system are low ((234 ?? 11) ?? 103 atoms (1 ??; n = 7)) and stable. The precision of a given measurement depends on the concentration of 14C, but is typically &lt;5% for concentrations of 100 ?? 103 atoms g-1 or more. The new system is relatively small and easy to construct, costs significantly less than the original in situ 14C extraction system at Arizona, and lends itself to future automation. ?? 2010 by the Arizona Board of Regents on behalf of the University of Arizona.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Radiocarbon","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"00338222","usgsCitation":"Pigati, J., Lifton, N., Jull, A.T., and Quade, J., 2010, A simplified In Situ cosmogenic 14C extraction system: Radiocarbon, v. 52, no. 3, p. 1236-1243.","startPage":"1236","endPage":"1243","numberOfPages":"8","costCenters":[],"links":[{"id":245116,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e593e4b0c8380cd46e3e","contributors":{"authors":[{"text":"Pigati, J.S.","contributorId":80486,"corporation":false,"usgs":true,"family":"Pigati","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":459497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lifton, N.A.","contributorId":9090,"corporation":false,"usgs":true,"family":"Lifton","given":"N.A.","email":"","affiliations":[],"preferred":false,"id":459494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jull, A.J. Timothy","contributorId":53629,"corporation":false,"usgs":true,"family":"Jull","given":"A.J.","email":"","middleInitial":"Timothy","affiliations":[],"preferred":false,"id":459496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quade, Jay","contributorId":22108,"corporation":false,"usgs":false,"family":"Quade","given":"Jay","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":459495,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037634,"text":"70037634 - 2010 - Using multiple chemical indicators to characterize and determine the age of groundwater from selected vents of the silver springs group, Central Florida, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:06","indexId":"70037634","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Using multiple chemical indicators to characterize and determine the age of groundwater from selected vents of the silver springs group, Central Florida, USA","docAbstract":"The Silver Springs Group, Florida (USA), forms the headwaters of the Silver River and supports a diverse ecosystem. The 30 headwater springs divide into five subgroups based on chemistry. Five selected spring vents were sampled in 2007 to better understand the contaminant sources and groundwater flow system. Elevated nitrate-N concentrations (&gt;0.8mg/L) in the five spring vents likely originate from inorganic (fertilizers) and organic sources, based on nitrogen and oxygen isotope ratios of nitrate. Evidence for denitrification in the Lost River Boil spring includes enriched ??15N and ??18O, excess N2 gas, and low dissolved O2 concentrations (&lt;0.5mg/L). Multiple age-tracer data (SF6, 3H, tritiogenic 3He) for the two uppermost springs (Mammoth East and Mammoth West) indicate a binary mixture dominated by recent recharge water (mean age 6-7 years, and 87-97% young water). Tracer data for the three downstream spring vents (Lost River Boil, Catfish Hotel-1, and Catfish Conventional Hall-1) indicate exponential mixtures with mean ages of 26-35 years. Contamination from non-atmospheric sources of CFCs and SF5CF3 precluded their use as age tracers here. Variations in chemistry were consistent with mean groundwater age, as nitrate-N and dissolved O2 concentrations were higher in younger waters, and the Ca/Mg ratio decreased with increasing mean age. ?? 2010 Springer-Verlag (outside the USA).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10040-010-0669-y","issn":"14312174","usgsCitation":"Knowles, L., Katz, B., and Toth, D.J., 2010, Using multiple chemical indicators to characterize and determine the age of groundwater from selected vents of the silver springs group, Central Florida, USA: Hydrogeology Journal, v. 18, no. 8, p. 1825-1838, https://doi.org/10.1007/s10040-010-0669-y.","startPage":"1825","endPage":"1838","numberOfPages":"14","costCenters":[],"links":[{"id":218038,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-010-0669-y"},{"id":246015,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-11-16","publicationStatus":"PW","scienceBaseUri":"505bc078e4b08c986b32a146","contributors":{"authors":[{"text":"Knowles, L. Jr.","contributorId":72630,"corporation":false,"usgs":true,"family":"Knowles","given":"L.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":462018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katz, B. G.","contributorId":82702,"corporation":false,"usgs":true,"family":"Katz","given":"B. G.","affiliations":[],"preferred":false,"id":462019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, D. J.","contributorId":46563,"corporation":false,"usgs":true,"family":"Toth","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":462017,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037629,"text":"70037629 - 2010 - Precise estimation of repeating earthquake moment: Example from parkfield, california","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70037629","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Precise estimation of repeating earthquake moment: Example from parkfield, california","docAbstract":"We offer a new method for estimating the relative size of repeating earthquakes using the singular value decomposition (SVD). This method takes advantage of the highly coherent waveforms of repeating earthquakes and arrives at far more precise and accurate descriptions of earthquake size than standard catalog techniques allow. We demonstrate that uncertainty in relative moment estimates is reduced from ??75% for standard coda-duration techniques employed by the network to an uncertainty of ??6.6% when the SVD method is used. This implies that a single-station estimate of moment using the SVD method has far less uncertainty than the whole-network estimates of moment based on coda duration. The SVD method offers a significant improvement in our ability to describe the size of repeating earthquakes and thus an opportunity to better understand how they accommodate slip as a function of time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120100007","issn":"00371106","usgsCitation":"Rubinstein, J., and Ellsworth, W., 2010, Precise estimation of repeating earthquake moment: Example from parkfield, california: Bulletin of the Seismological Society of America, v. 100, no. 5 A, p. 1952-1961, https://doi.org/10.1785/0120100007.","startPage":"1952","endPage":"1961","numberOfPages":"10","costCenters":[],"links":[{"id":217994,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120100007"},{"id":245969,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"5 A","noUsgsAuthors":false,"publicationDate":"2010-09-20","publicationStatus":"PW","scienceBaseUri":"505a8139e4b0c8380cd7b407","contributors":{"authors":[{"text":"Rubinstein, J.L.","contributorId":68105,"corporation":false,"usgs":true,"family":"Rubinstein","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":461995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellsworth, W.L.","contributorId":48541,"corporation":false,"usgs":true,"family":"Ellsworth","given":"W.L.","email":"","affiliations":[],"preferred":false,"id":461994,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037670,"text":"70037670 - 2010 - Transmission and reassortment of avian influenza viruses at the Asian-North American interface","interactions":[],"lastModifiedDate":"2019-12-10T10:30:27","indexId":"70037670","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3696,"text":"Virology","active":true,"publicationSubtype":{"id":10}},"title":"Transmission and reassortment of avian influenza viruses at the Asian-North American interface","docAbstract":"<p>Twenty avian influenza viruses were isolated from seven wild migratory bird species sampled at St. Lawrence Island, Alaska. We tested predictions based on previous phylogenetic analyses of avian influenza viruses that support spatially dependent trans-hemispheric gene flow and frequent interspecies transmission at a location situated at the Asian&ndash;North American interface. Through the application of phylogenetic and genotypic approaches, our data support functional dilution by distance of trans-hemispheric reassortants and interspecific virus transmission. Our study confirms infection of divergent avian taxa with nearly identical avian influenza strains in the wild. Findings also suggest that H16N3 viruses may contain gene segments with unique phylogenetic positions and that further investigation of how host specificity may impact transmission of H13 and H16 viruses is warranted.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.virol.2010.07.031","issn":"00426822","usgsCitation":"Ramey, A.M., Pearce, J.M., Ely, C.R., Guy, L.M., Irons, D.B., Derksen, D.V., and Ip, S., 2010, Transmission and reassortment of avian influenza viruses at the Asian-North American interface: Virology, v. 406, no. 2, p. 352-359, https://doi.org/10.1016/j.virol.2010.07.031.","productDescription":"8 p.","startPage":"352","endPage":"359","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":475871,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.virol.2010.07.031","text":"Publisher Index Page"},{"id":246033,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218053,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.virol.2010.07.031"}],"country":"United States","state":"Alaska","otherGeospatial":"St Lawrence Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -171.7822265625,\n              63.704722429433225\n            ],\n            [\n              -171.38671874999997,\n              63.213829705155625\n            ],\n            [\n              -169.013671875,\n              62.75472592723178\n            ],\n            [\n              -168.22265625,\n              63.27318217465046\n            ],\n            [\n              -170.595703125,\n              63.78248603116502\n            ],\n            [\n              -171.7822265625,\n              63.704722429433225\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"406","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb725e4b08c986b3270a8","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":462206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":462202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":462204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guy, Lisa M. Sheffield","contributorId":14234,"corporation":false,"usgs":true,"family":"Guy","given":"Lisa","email":"","middleInitial":"M. Sheffield","affiliations":[],"preferred":false,"id":462205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irons, David B.","contributorId":63658,"corporation":false,"usgs":true,"family":"Irons","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":462207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Derksen, Dirk V. dderksen@usgs.gov","contributorId":2269,"corporation":false,"usgs":true,"family":"Derksen","given":"Dirk","email":"dderksen@usgs.gov","middleInitial":"V.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":462203,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":462201,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70037628,"text":"70037628 - 2010 - Comment on \"near-surface location, geometry, and velocities of the santa monica fault zone, Los Angeles, California\" by R. D. catchings, G. gandhok, M. R. goldman, D. okaya, M. J. rymer and G. W. bawden","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70037628","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Comment on \"near-surface location, geometry, and velocities of the santa monica fault zone, Los Angeles, California\" by R. D. catchings, G. gandhok, M. R. goldman, D. okaya, M. J. rymer and G. W. bawden","docAbstract":"[No abstract available]","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120090142","issn":"00371106","usgsCitation":"Pratt, T.L., and Dolan, J., 2010, Comment on \"near-surface location, geometry, and velocities of the santa monica fault zone, Los Angeles, California\" by R. D. catchings, G. gandhok, M. R. goldman, D. okaya, M. J. rymer and G. W. bawden: Bulletin of the Seismological Society of America, v. 100, no. 5 A, p. 2329-2337, https://doi.org/10.1785/0120090142.","startPage":"2329","endPage":"2337","numberOfPages":"9","costCenters":[],"links":[{"id":217993,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090142"},{"id":245968,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"5 A","noUsgsAuthors":false,"publicationDate":"2010-09-20","publicationStatus":"PW","scienceBaseUri":"5059f7ebe4b0c8380cd4cda0","contributors":{"authors":[{"text":"Pratt, T. L.","contributorId":53072,"corporation":false,"usgs":true,"family":"Pratt","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":461992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dolan, J.F.","contributorId":64813,"corporation":false,"usgs":true,"family":"Dolan","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":461993,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190407,"text":"70190407 - 2010 - High resolution near-bed observations in winter near Cape Hatteras, North Carolina","interactions":[],"lastModifiedDate":"2017-08-30T14:02:00","indexId":"70190407","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5480,"text":"Oceans Conference Record","printIssn":"0197-7385","active":true,"publicationSubtype":{"id":19}},"title":"High resolution near-bed observations in winter near Cape Hatteras, North Carolina","docAbstract":"<p><span>The U.S. Geological Survey (USGS) Coastal and Marine Science Center in Woods Hole, Massachusetts, is leading an effort to understand the regional sediment dynamics along the coastline of North and South Carolina. As part of the Carolinas Coastal Change Processes Project, a geologic framework study in June of 2008 by the Woods Hole Coastal and Marine Science Center's Sea Floor Mapping Group focused on the seaward limit of Diamond Shoals and provided high resolution bathymetric data, surficial sediment characteristics, and subsurface geologic stratigraphy. These data also provided unprecedented guidance to identify deployment locations for tripods and moorings to investigate the processes that control sediment transport at Diamond Shoals. Equipment was deployed at three sites from early January, 2009 through early May, 2009: north and south of the shoals at 15 m depth, and at the tip at 24 m depth. Many strong storm systems were recorded during that time period. Mounted on the tripods were instruments to measure surface waves, pressure, current velocity, bottom turbulence, suspended-sediment profiles, and sea-floor sand-ripple bedforms. Many instruments were designed and programmed to sample in high resolution in time and space, as fast as 8 Hz hourly bursts and as small as 6 cm bin sizes in near bottom profiles. A second tripod at the north site also held a visual camera system and sonar imaging system which document seafloor bedforms. The region is known for its dynamics, and one of the tripods tipped over towards the end of the experiment. A preliminary look at the data suggests the region is characterized by high energy. Raw data from a burst recorded at the south site on Mar. 26</span><sup>th</sup><span><span>&nbsp;</span>show instantaneous flow speed at 150 cm/s at 0.5 m above the seabed. This paper reports preliminary highlights of the observations, based on raw data, and lessons learned from a deployment of large tripod systems in such a dynamic location.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"OCEANS 2009, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"OCEANS 2009, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges","conferenceDate":"Biloxi, MS","conferenceLocation":"October 26-29, 2009","language":"English","publisher":"IEEE","doi":"10.23919/OCEANS.2009.5422403","usgsCitation":"Martini, M.A., Armstrong, B., and Warner, J., 2010, High resolution near-bed observations in winter near Cape Hatteras, North Carolina, <i>in</i> OCEANS 2009, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, October 26-29, 2009, Biloxi, MS, 10 p., https://doi.org/10.23919/OCEANS.2009.5422403.","productDescription":"10 p.","ipdsId":"IP-015260","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":345361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Hatteras","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a7ced5e4b0fd9b77d092c7","contributors":{"authors":[{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":709075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Armstrong, Brandy N. barmstrong@usgs.gov","contributorId":5897,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy N.","email":"barmstrong@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":709076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":709077,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037672,"text":"70037672 - 2010 - Holocene variations in mineral and grain-size composition along the East Greenland glaciated margin (ca 67°–70°N): local versus long-distance sediment transport","interactions":[],"lastModifiedDate":"2015-03-23T11:30:04","indexId":"70037672","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Holocene variations in mineral and grain-size composition along the East Greenland glaciated margin (ca 67°–70°N): local versus long-distance sediment transport","docAbstract":"Quantitative X-Ray Diffraction (qXRD) analysis of the <2 mm sediment fraction from surface (sea floor) samples, and marine sediment cores that span the last 10-12 cal ka BP, are used to describe spatial and temporal variations in non-clay mineral compositions for an area between Kangerlussuaq Trough and Scoresby Sund (???67??-70??N), East Greenland. Bedrock consists primarily of an early Tertiary alkaline complex with high weight% of pyroxene and plagioclase. Farther inland and to the north, the bedrock is dominantly felsic with a high fraction of quartz and potassium feldspars. Principal Component (PC) analysis of the non-clay sediment compositions indicates the importance of quartz and pyroxene as compositional end members, with an abrupt shift from quartz and k-feldspar dominated sediments north of Scoresby Sund to sediments rich in pyroxene and plagioclase feldspars offshore from the early Tertiary basaltic outcrop. Coarse (<2 mm or <1 mm) ice-rafted sediments are largely absent from the trough sediments between ???8 and 5 cal ka BP, but then increase in the last 4 cal ka BP. Compositional unmixing of the sediments in Grivel Basin and Kangerlussuaq Trough indicate the dominance of local over long distance sediment sources, with pulses of sediment from tidewater glaciers in Kangerlussuaq and Nansen fjords reaching the inner shelf during the Neoglaciation. The change in IRD is more dramatic in the sediment grain-size proxies than in the quartz wt%. Forty to seventy percent of the variance in the quartz records from either side of Denmark Strait is explained by low frequency trends, but the data from the Grivel Basin, East Greenland, are distinctly different, with an approximate 2500 yr periodicity. ?? 2010 Elsevier Ltd.","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2010.06.001","issn":"02773791","usgsCitation":"Andrews, J.T., Jennings, A.E., Coleman, G.C., and Eberl, D.D., 2010, Holocene variations in mineral and grain-size composition along the East Greenland glaciated margin (ca 67°–70°N): local versus long-distance sediment transport: Quaternary Science Reviews, v. 29, no. 19-20, p. 2619-2632, https://doi.org/10.1016/j.quascirev.2010.06.001.","productDescription":"14 p.","startPage":"2619","endPage":"2632","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":246047,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218067,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quascirev.2010.06.001"}],"country":"Greenland","volume":"29","issue":"19-20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a31f9e4b0c8380cd5e3eb","contributors":{"authors":[{"text":"Andrews, John T.","contributorId":19886,"corporation":false,"usgs":true,"family":"Andrews","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":462214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennings, Anne E.","contributorId":38876,"corporation":false,"usgs":true,"family":"Jennings","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":462212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coleman, George C.","contributorId":76582,"corporation":false,"usgs":true,"family":"Coleman","given":"George","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":462213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberl, Dennis D.","contributorId":68388,"corporation":false,"usgs":true,"family":"Eberl","given":"Dennis","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":462211,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037668,"text":"70037668 - 2010 - Comparison of thiaminase activity in fish using the radiometric and 4-nitrothiophenol colorimetric methods","interactions":[],"lastModifiedDate":"2022-07-29T19:19:02.5516","indexId":"70037668","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of thiaminase activity in fish using the radiometric and 4-nitrothiophenol colorimetric methods","docAbstract":"<h1>Notice</h1><p><strong>This publication has been retracted. See the <a data-mce-href=\"https://doi.org/10.1016/j.jglr.2022.05.005\" href=\"https://doi.org/10.1016/j.jglr.2022.05.005\">retraction notice</a>.</strong></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jglr.2010.07.005","issn":"03801330","usgsCitation":"Honeyfield, D., Hanes, J., Brown, L., Kraft, C., and Begley, T., 2010, Comparison of thiaminase activity in fish using the radiometric and 4-nitrothiophenol colorimetric methods: Journal of Great Lakes Research, v. 36, no. 4, p. 641-645, https://doi.org/10.1016/j.jglr.2010.07.005.","productDescription":"5 p.","startPage":"641","endPage":"645","numberOfPages":"5","costCenters":[],"links":[{"id":475884,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6042866","text":"Publisher Index Page"},{"id":246017,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f8b1e4b0c8380cd4d22b","contributors":{"authors":[{"text":"Honeyfield, D. C. 0000-0003-3034-2047","orcid":"https://orcid.org/0000-0003-3034-2047","contributorId":73136,"corporation":false,"usgs":true,"family":"Honeyfield","given":"D. C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":462197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanes, J.W.","contributorId":62867,"corporation":false,"usgs":true,"family":"Hanes","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":462196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, L. 0000-0001-6702-4531","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":56995,"corporation":false,"usgs":true,"family":"Brown","given":"L.","affiliations":[],"preferred":false,"id":462195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraft, C.E.","contributorId":80610,"corporation":false,"usgs":true,"family":"Kraft","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":462198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Begley, T.P.","contributorId":17078,"corporation":false,"usgs":true,"family":"Begley","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":462194,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037702,"text":"70037702 - 2010 - Depositional setting, petrology and chemistry of Permian coals from the Paraná  Basin: 2. South Santa Catarina Coalfield, Brazil","interactions":[],"lastModifiedDate":"2019-11-12T14:56:05","indexId":"70037702","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Depositional setting, petrology and chemistry of Permian coals from the Paraná  Basin: 2. South Santa Catarina Coalfield, Brazil","docAbstract":"<p id=\"sp0175\">In Brazil economically important<span>&nbsp;</span><a title=\"Learn more about Coal Deposits from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/coal-deposits\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/coal-deposits\">coal deposits</a><span>&nbsp;occur in the southern part of the Paraná Basin, where&nbsp;<a title=\"Learn more about Coal Seam from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/coal-seam\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/coal-seam\">coal seams</a>&nbsp;occur in the&nbsp;<a title=\"Learn more about Permian from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/permian\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/permian\">Permian</a>&nbsp;Rio Bonito Formation, with major coal development in the states of Rio Grande de Sul and Santa Catarina. The current paper presents results on sequence stratigraphic interpretation of the coal-bearing&nbsp;<a title=\"Learn more about Strata from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/strata\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/strata\">strata</a>, and petrological and geochemical coal seam&nbsp;<a title=\"Learn more about Characterization from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/characterization\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/characterization\">characterization</a>&nbsp;from the South Santa Catarina Coalfield, Paraná Basin.</span></p><p id=\"sp0180\"><span>In terms of sequence stratigraphic interpretation the precursor&nbsp;<a title=\"Learn more about Mire from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/mire\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/mire\">mires</a>&nbsp;of the Santa Catarina coal seams formed in an estuarine-barrier shoreface&nbsp;</span><a title=\"Learn more about Depositional Environment from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/depositional-environment\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/depositional-environment\">depositional environment</a><span>, with major&nbsp;<a title=\"Learn more about Peat from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/peat\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/peat\">peat</a>&nbsp;accumulation in a high stand systems tract (Pre-Bonito and Bonito seams), a&nbsp;<a title=\"Learn more about Lowstand from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/lowstand\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/lowstand\">lowstand</a>&nbsp;systems tract (Ponta Alta seam, seam A, seam B) and a transgressive systems tract (Irapuá, Barro Branco and Treviso seams).</span></p><p id=\"sp0185\">Seam thicknesses range from 1.70 to 2.39&nbsp;<span>m, but high proportions of impure coal (coaly&nbsp;<a title=\"Learn more about Shale from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/shale\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/shale\">shale</a>&nbsp;and shaley coal), carbonaceous shale and partings reduce the net coal thickness significantly. Coal lithoypes are variable, with banded coal predominant in the Barro Branco seam, and banded dull and dull coal predominantly in Bonito and Irapuá seams, respectively. Results from petrographic analyses indicate a&nbsp;<a title=\"Learn more about Vitrinite Reflectance from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/vitrinite-reflectance\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/vitrinite-reflectance\">vitrinite reflectance</a>&nbsp;range from 0.76 to 1.63 %Rrandom (HVB A to LVB coal).&nbsp;<a title=\"Learn more about Maceral from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/maceral\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/maceral\">Maceral</a>&nbsp;group distribution varies significantly, with the Barro Branco seam having the highest&nbsp;<a title=\"Learn more about Vitrinite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/vitrinite\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/vitrinite\">vitrinite</a>&nbsp;content (mean 67.5 vol%), whereas the Irapuá seam has the highest&nbsp;<a title=\"Learn more about Inertinite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/inertinite\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/inertinite\">inertinite</a>&nbsp;content (33.8</span>&nbsp;<span>vol%).&nbsp;<a title=\"Learn more about Liptinite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/liptinite\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/liptinite\">Liptinite</a>&nbsp;mean values range from 7.8</span>&nbsp;vol% (Barro Branco seam) to 22.5&nbsp;vol% (Irapuá seam).</p><p id=\"sp0190\">Results from proximate analyses indicate for the three seams high ash yields (50.2 – 64.2&nbsp;wt.%). Considering the International Classification of in-Seam Coals, all samples are in fact classified as carbonaceous rocks (&gt;&nbsp;50&nbsp;<span>wt.% ash).&nbsp;<a title=\"Learn more about Sulphur Content from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/engineering/sulphur-content\" data-mce-href=\"https://www.sciencedirect.com/topics/engineering/sulphur-content\">Sulfur contents</a>&nbsp;range from 3.4 to 7.7 wt.%, of which the major part occurs as pyritic sulfur. Results of X-ray diffraction indicate the predominance of&nbsp;<a title=\"Learn more about Quartz from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/quartz\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/quartz\">quartz</a>&nbsp;and&nbsp;<a title=\"Learn more about Kaolinite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/kaolinite\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/kaolinite\">kaolinite</a>&nbsp;(also pyrite).&nbsp;<a title=\"Learn more about Gypsum from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/gypsum\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/gypsum\">Gypsum</a>,&nbsp;<a title=\"Learn more about Gibbsite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/gibbsite\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/gibbsite\">gibbsite</a>,&nbsp;<a title=\"Learn more about Jarosite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/jarosite\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/jarosite\">jarosite</a>&nbsp;and&nbsp;<a title=\"Learn more about Calcite from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/calcite\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/calcite\">calcite</a>&nbsp;were also identified in some samples.&nbsp;<a title=\"Learn more about Feldspar from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/feldspar\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/feldspar\">Feldspar</a>&nbsp;was noted but is rare. The major element distribution in the three seams (coal basis) is dominated by SiO</span><sub>2</sub><span>&nbsp;</span>(31.3&nbsp;wt.%, mean value), Al<sub>2</sub>O<sub>3</sub><span>&nbsp;</span>(14.5&nbsp;wt.%, mean value) and Fe<sub>2</sub>O<sub>3</sub><span>&nbsp;</span>(6.9 wt.%, mean value). Considering the concentrations of trace elements that are of potential environmental hazards the Barro Branco, Bonito and Irapuá seams (coal base) are significantly enriched in Co (15.7&nbsp;ppm), Cr (54.5&nbsp;ppm), Li (59.3&nbsp;ppm), Mn (150.4&nbsp;ppm), Pb (58.0&nbsp;ppm) and V (99.6&nbsp;ppm), when compared to average trace elements contents reported for U. S. coals.</p><p id=\"sp0195\">Hierarchical cluster analysis identified, based on similarity levels, three groups of major elements and seven groups of trace elements. Applying discriminant analyses using trace and major element distribution, it could be demonstrated that the three seams from Santa Catarina show distinct populations in the discriminant analyses plots, and also differ from the coals of Rio Grande do Sul analyzed in a previous study.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2010.08.008","issn":"01665162","usgsCitation":"Kalkreuth, W., Holz, M., Mexias, A., Balbinot, M., Levandowski, J., Willett, J., Finkelman, R., and Burger, H., 2010, Depositional setting, petrology and chemistry of Permian coals from the Paraná  Basin: 2. South Santa Catarina Coalfield, Brazil: International Journal of Coal Geology, v. 84, no. 3-4, p. 213-236, https://doi.org/10.1016/j.coal.2010.08.008.","productDescription":"24 p.","startPage":"213","endPage":"236","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":246049,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218069,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2010.08.008"}],"country":"Brazil","state":"Santa Catarina","otherGeospatial":"Parana Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -49.63623046875,\n              -29.382175075145277\n            ],\n            [\n              -48.62548828125,\n              -28.57487404744697\n            ],\n            [\n              -48.40576171875,\n              -27.955591004642528\n            ],\n            [\n              -48.44970703125,\n              -26.86328062676624\n            ],\n            [\n              -48.40576171875,\n              -26.07652055985696\n            ],\n            [\n              -49.130859375,\n              -25.997549919572098\n            ],\n            [\n              -49.50439453124999,\n              -26.15543796871355\n            ],\n            [\n              -50.009765625,\n              -25.997549919572098\n            ],\n            [\n              -51.15234375,\n              -26.431228064506424\n            ],\n            [\n              -51.30615234375,\n              -26.706359857633526\n            ],\n            [\n              -52.03125,\n              -26.56887654795064\n            ],\n            [\n              -52.91015625,\n              -26.431228064506424\n            ],\n            [\n              -53.63525390625,\n              -26.254009699865737\n            ],\n            [\n              -53.78906249999999,\n              -27.15692045688088\n            ],\n            [\n              -53.19580078125,\n              -27.078691552927534\n            ],\n            [\n              -52.2509765625,\n              -27.137368359795584\n            ],\n            [\n              -51.43798828124999,\n              -27.68352808378776\n            ],\n            [\n              -50.91064453125,\n              -28.052590823339845\n            ],\n            [\n              -50.537109375,\n              -28.22697003891834\n            ],\n            [\n              -50.0537109375,\n              -28.49766083296346\n            ],\n            [\n              -49.81201171875,\n              -28.55557604918596\n            ],\n            [\n              -49.63623046875,\n              -29.382175075145277\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fec9e4b0c8380cd4ef1a","contributors":{"authors":[{"text":"Kalkreuth, W.","contributorId":12255,"corporation":false,"usgs":true,"family":"Kalkreuth","given":"W.","email":"","affiliations":[],"preferred":false,"id":462382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holz, M.","contributorId":71376,"corporation":false,"usgs":true,"family":"Holz","given":"M.","email":"","affiliations":[],"preferred":false,"id":462387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mexias, A.","contributorId":78530,"corporation":false,"usgs":true,"family":"Mexias","given":"A.","email":"","affiliations":[],"preferred":false,"id":462388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balbinot, M.","contributorId":15870,"corporation":false,"usgs":true,"family":"Balbinot","given":"M.","email":"","affiliations":[],"preferred":false,"id":462383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levandowski, J.","contributorId":37995,"corporation":false,"usgs":true,"family":"Levandowski","given":"J.","email":"","affiliations":[],"preferred":false,"id":462384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Willett, J.","contributorId":54010,"corporation":false,"usgs":true,"family":"Willett","given":"J.","email":"","affiliations":[],"preferred":false,"id":462385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Finkelman, R.","contributorId":56812,"corporation":false,"usgs":true,"family":"Finkelman","given":"R.","affiliations":[],"preferred":false,"id":462386,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burger, H.","contributorId":86558,"corporation":false,"usgs":true,"family":"Burger","given":"H.","affiliations":[],"preferred":false,"id":462389,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70037673,"text":"70037673 - 2010 - Long generation time delays the genetic response to habitat fragmentation in the threatened florida sand skink","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"70037673","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Long generation time delays the genetic response to habitat fragmentation in the threatened florida sand skink","docAbstract":"A recent study showed that populations of the threatened Florida Sand Skink had limited loss of genetic diversity over the past 60 yr as a consequence of anthropogenic fragmentation. This study assumed that 60 yr represents 3037 generations for the Florida Sand Skink, but a new evaluation of markrecapture data shows that 60 yr represents only about 15 generations. This result suggests that too little time may have passed to observe the full genetic consequences of contemporary anthropogenic fragmentation in the Florida Sand Skink and reinforces similar results from other species. We suggest that snapshots of existing genetic variability in fragmented populations are limited in their ability to predict the evolutionary fate of a species unless life-history attributes of the organism are taken into account. Copyright 2010 Society for the Study of Amphibians and Reptiles.","largerWorkTitle":"Journal of Herpetology","language":"English","doi":"10.1670/09-089.1","issn":"00221511","usgsCitation":"McCoy, E., Richmond, J., Mushinsky, H., Britt, E., and Godley, J., 2010, Long generation time delays the genetic response to habitat fragmentation in the threatened florida sand skink, <i>in</i> Journal of Herpetology, v. 44, no. 4, p. 641-644, https://doi.org/10.1670/09-089.1.","startPage":"641","endPage":"644","numberOfPages":"4","costCenters":[],"links":[{"id":218068,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1670/09-089.1"},{"id":246048,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4962e4b0c8380cd68577","contributors":{"authors":[{"text":"McCoy, E.D.","contributorId":15022,"corporation":false,"usgs":true,"family":"McCoy","given":"E.D.","email":"","affiliations":[],"preferred":false,"id":462215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, J.Q.","contributorId":17080,"corporation":false,"usgs":true,"family":"Richmond","given":"J.Q.","email":"","affiliations":[],"preferred":false,"id":462217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushinsky, H.R.","contributorId":54416,"corporation":false,"usgs":true,"family":"Mushinsky","given":"H.R.","email":"","affiliations":[],"preferred":false,"id":462219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Britt, E.J.","contributorId":27728,"corporation":false,"usgs":true,"family":"Britt","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":462218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godley, J.S.","contributorId":15731,"corporation":false,"usgs":true,"family":"Godley","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":462216,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037675,"text":"70037675 - 2010 - Sediment contamination of residential streams in the metropolitan Kansas City area, USA: Part I. distribution of polycyclic aromatic hydrocarbon and pesticide-related compounds","interactions":[],"lastModifiedDate":"2018-10-22T10:21:14","indexId":"70037675","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Sediment contamination of residential streams in the metropolitan Kansas City area, USA: Part I. distribution of polycyclic aromatic hydrocarbon and pesticide-related compounds","docAbstract":"<p><span>This is the first part of a study that evaluates the influence of nonpoint-source contaminants on the sediment quality of five streams within the metropolitan Kansas City area, central United States. Surficial sediment was collected in 2003 from 29 sites along five streams with watersheds that extend from the core of the metropolitan area to its development fringe. Sediment was analyzed for 16 polycyclic aromatic hydrocarbons (PAHs), 3 common polychlorinated biphenyl mixtures (Aroclors), and 25 pesticide-related compounds of eight chemical classes. Multiple PAHs were detected at more than 50% of the sites, and concentrations of total PAHs ranged from 290 to 82,150&nbsp;μg/kg (dry weight). The concentration and frequency of detection of PAHs increased with increasing urbanization of the residential watersheds. Four- and five-ring PAH compounds predominated the PAH composition (73–100%), especially fluoranthene and pyrene. The PAH composition profiles along with the diagnostic isomer ratios [e.g., anthracene/(anthracene&nbsp;+&nbsp;phenanthrene), 0.16&nbsp;±&nbsp;0.03; fluoranthene/(fluoranthene&nbsp;+&nbsp;pyrene), 0.55&nbsp;±&nbsp;0.01)] indicate that pyrogenic sources (i.e., coal-tar-related operations or materials and traffic-related particles) may be common PAH contributors to these residential streams. Historical-use organochlorine insecticides and their degradates dominated the occurrences of pesticide-related compounds, with chlordane and dieldrin detected in over or nearly 50% of the samples. The occurrence of these historical organic compounds was associated with past urban applications, which may continue to be nonpoint sources replenishing local streams. Concentrations of low molecular weight (LMW; two or three rings) and high molecular weight (HMW; four to six rings) PAHs covaried along individual streams but showed dissimilar distribution patterns between the streams, while the historical pesticide-related compounds generally increased in concentration downstream. Correlations were noted between LMW and HMW PAHs for most of the streams and between historical-use organochlorine compounds and total organic carbon and clay content of sediments for one of the streams (Brush Creek). Stormwater runoff transport modes are proposed to describe how the two groups of contaminants migrated and distributed in the streambed.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-010-9497-2","issn":"00904341","usgsCitation":"Tao, J., Huggins, D., Welker, G., Dias, J., Ingersoll, C.G., and Murowchick, J., 2010, Sediment contamination of residential streams in the metropolitan Kansas City area, USA: Part I. distribution of polycyclic aromatic hydrocarbon and pesticide-related compounds: Archives of Environmental Contamination and Toxicology, v. 59, no. 3, p. 352-369, https://doi.org/10.1007/s00244-010-9497-2.","productDescription":"18 p.","startPage":"352","endPage":"369","numberOfPages":"18","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":218081,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-010-9497-2"},{"id":246062,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Missouri","city":"Kansas City","volume":"59","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-04-14","publicationStatus":"PW","scienceBaseUri":"505b8966e4b08c986b316dc6","contributors":{"authors":[{"text":"Tao, J.","contributorId":56485,"corporation":false,"usgs":true,"family":"Tao","given":"J.","email":"","affiliations":[],"preferred":false,"id":462235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huggins, D.","contributorId":29250,"corporation":false,"usgs":true,"family":"Huggins","given":"D.","email":"","affiliations":[],"preferred":false,"id":462232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welker, G.","contributorId":21390,"corporation":false,"usgs":true,"family":"Welker","given":"G.","email":"","affiliations":[],"preferred":false,"id":462231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dias, J.R.","contributorId":97748,"corporation":false,"usgs":true,"family":"Dias","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":462236,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":462234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murowchick, J.B.","contributorId":45058,"corporation":false,"usgs":true,"family":"Murowchick","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":462233,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037680,"text":"70037680 - 2010 - Urbanization in a great plains river: Effects on fishes and food webs","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"70037680","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Urbanization in a great plains river: Effects on fishes and food webs","docAbstract":"Spatial variation of habitat and food web structure of the fish community was investigated at three reaches in the Kansas River, USA to determine if ??13C variability and ??15N values differ longitudinally and are related to urbanization and instream habitat. Fish and macroinvertebrates were collected at three river reaches in the Kansas River classified as the less urbanized reach (no urban in riparian zone; 40% grass islands and sand bars, braided channel), intermediate (14% riparian zone as urban; 22% grass islands and sand bars) and urbanized (59% of riparian zone as urban; 6% grass islands and sand bars, highly channelized) reaches in June 2006. The less urbanized reach had higher variability in ??13C than the intermediate and urbanized reaches, suggesting fish from these reaches utilized a variety of carbon sources. The ??15N also indicated that omnivorous and detritivorous fish species tended to consume prey at higher trophic levels in the less urbanized reach. Channelization and reduction of habitat related to urbanization may be linked to homogenization of instream habitat, which was related to river food webs. ?? 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/rra.1326","issn":"15351459","usgsCitation":"Eitzmann, J., and Paukert, C., 2010, Urbanization in a great plains river: Effects on fishes and food webs: River Research and Applications, v. 26, no. 8, p. 948-959, https://doi.org/10.1002/rra.1326.","startPage":"948","endPage":"959","numberOfPages":"12","costCenters":[],"links":[{"id":218118,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1326"},{"id":246101,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"8","noUsgsAuthors":false,"publicationDate":"2009-11-18","publicationStatus":"PW","scienceBaseUri":"505bbe46e4b08c986b3294cc","contributors":{"authors":[{"text":"Eitzmann, J.L.","contributorId":13051,"corporation":false,"usgs":true,"family":"Eitzmann","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":462259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, C.P.","contributorId":10151,"corporation":false,"usgs":true,"family":"Paukert","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":462258,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037722,"text":"70037722 - 2010 - Land use and small mammal predation effects on shortgrass prairie birds","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"70037722","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Land use and small mammal predation effects on shortgrass prairie birds","docAbstract":"Grassland birds endemic to the central shortgrass prairie ecoregion of the United States have experienced steep and widespread declines over the last 3 decades, and factors influencing reproductive success have been implicated. Nest predation is the major cause of nest failure in passerines, and nesting success for some shortgrass prairie birds is exceptionally low. The 3 primary land uses in the central shortgrass prairie ecoregion are native shortgrass prairie rangeland (62), irrigated and nonirrigated cropland (29), and Conservation Reserve Program (CRP, 8). Because shortgrasscropland edges and CRP may alter the community of small mammal predators of grassland bird nests, I sampled multiple sites on and near the Pawnee National Grasslands in northeast Colorado, USA, to evaluate 1) whether small mammal species richness and densities were greater in CRP fields and shortgrass prairiecropland edges compared to shortgrass prairie habitats, and 2) whether daily survival probabilities of ground-nesting grassland bird nests were negatively correlated with densities of small mammals. Small mammal species richness and densities, estimated using trapping webs, were generally greater along edges and on CRP sites compared to shortgrass sites. Vegetation did not differ among edges and shortgrass sites but did differ among CRP and shortgrass sites. Daily survival probabilities of artificial nests at edge and CRP sites and natural nests at edge sites did not differ from shortgrass sites, and for natural nests small mammal densities did not affect nest survival. However, estimated daily survival probability of artificial nests was inversely proportional to thirteen-lined ground squirrel (Spermophilus tridecemlineatus) densities. In conclusion, these data suggest that although land-use patterns on the shortgrass prairie area in my study have substantial effects on the small mammal community, insufficient data existed to determine whether land-use patterns or small mammal density were affecting grassland bird nest survival. These findings will be useful to managers for predicting the effects of land-use changes in the shortgrass prairie on small mammal communities and avian nest success. ?? 2010 The Wildlife Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2009-396","issn":"0022541X","usgsCitation":"Stanley, T., 2010, Land use and small mammal predation effects on shortgrass prairie birds: Journal of Wildlife Management, v. 74, no. 8, p. 1825-1833, https://doi.org/10.2193/2009-396.","startPage":"1825","endPage":"1833","numberOfPages":"9","costCenters":[],"links":[{"id":217969,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2009-396"},{"id":245942,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"505a4382e4b0c8380cd663c0","contributors":{"authors":[{"text":"Stanley, T.R.","contributorId":61379,"corporation":false,"usgs":true,"family":"Stanley","given":"T.R.","affiliations":[],"preferred":false,"id":462493,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037710,"text":"70037710 - 2010 - Terrestrial reference standard sites for postlaunch sensor calibration","interactions":[],"lastModifiedDate":"2017-04-06T12:09:27","indexId":"70037710","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1175,"text":"Canadian Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial reference standard sites for postlaunch sensor calibration","docAbstract":"<p><span>In an era when the number of Earth observation satellites is rapidly growing and measurements from satellite sensors are used to address increasingly urgent global issues, often through synergistic and operational combinations of data from multiple sources, it is imperative that scientists and decision-makers are able to rely on the accuracy of Earth observation data products. The characterization and calibration of these sensors, particularly their relative biases, are vital to the success of the developing integrated Global Earth Observation System of Systems (GEOSS) for coordinated and sustained observations of the Earth. This can only reliably be achieved in the postlaunch environment through the careful use of observations by multiple sensor systems over common, well-characterized terrestrial targets (i.e., on or near the Earth's surface). Through greater access to and understanding of these vital reference standard sites and their use, the validity and utility of information gained from Earth remote sensing will continue to improve. This paper provides a brief overview of the use of reference standard sites for postlaunch sensor radiometric calibration from historical, current, and future perspectives. Emphasis is placed on optical sensors operating in the visible, near-infrared, and shortwave infrared spectral regions.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.5589/m10-079","issn":"07038992","usgsCitation":"Teillet, P., and Chander, G., 2010, Terrestrial reference standard sites for postlaunch sensor calibration: Canadian Journal of Remote Sensing, v. 36, no. 5, p. 437-450, https://doi.org/10.5589/m10-079.","productDescription":"14 p.","startPage":"437","endPage":"450","numberOfPages":"14","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":246103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218119,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5589/m10-079"}],"volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"505ba561e4b08c986b3209ea","contributors":{"authors":[{"text":"Teillet, P.M.","contributorId":23717,"corporation":false,"usgs":true,"family":"Teillet","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":462436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":462437,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037682,"text":"70037682 - 2010 - Carbon and hydrogen isotopic evidence for the origin of combustible gases in water-supply wells in north-central Pennsylvania","interactions":[],"lastModifiedDate":"2013-04-20T18:52:35","indexId":"70037682","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Carbon and hydrogen isotopic evidence for the origin of combustible gases in water-supply wells in north-central Pennsylvania","docAbstract":"The origin of the combustible gases in groundwater from glacial-outwash and fractured-bedrock aquifers was investigated in northern Tioga County, Pennsylvania. Thermogenic methane (CH<sub>4</sub>) and ethane (C<sub>2</sub>H<sub>6</sub>) and microbial CH<sub>4</sub> were found. Microbial CH<sub>4</sub> is from natural in situ processes in the shale bedrock and occurs chiefly in the bedrock aquifer. The δ<sup>13</sup>C values of CH<sub>4</sub> and C<sub>2</sub>H<sub>6</sub> for the majority of thermogenic gases from water wells either matched or were between values for the samples of non-native storage-field gas from injection wells and the samples of gas from storage-field observation wells. Traces of C<sub>2</sub>H<sub>6</sub> with microbial CH<sub>4</sub> and a range of C and H isotopic compositions of CH<sub>4</sub> indicate gases of different origins are mixing in sub-surface pathways; gas mixtures are present in groundwater. Pathways for gas migration and a specific source of the gases were not identified. Processes responsible for the presence of microbial gases in groundwater could be elucidated with further geochemical study.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apgeochem.2010.09.011","issn":"08832927","usgsCitation":"Revesz, K.M., Breen, K.J., Baldassare, A., and Burruss, R., 2010, Carbon and hydrogen isotopic evidence for the origin of combustible gases in water-supply wells in north-central Pennsylvania: Applied Geochemistry, v. 25, no. 12, p. 1845-1859, https://doi.org/10.1016/j.apgeochem.2010.09.011.","productDescription":"15 p.","startPage":"1845","endPage":"1859","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":245885,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217912,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2010.09.011"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.52,39.72 ], [ -80.52,42.27 ], [ -74.69,42.27 ], [ -74.69,39.72 ], [ -80.52,39.72 ] ] ] } } ] }","volume":"25","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f35ae4b0c8380cd4b73b","contributors":{"authors":[{"text":"Revesz, K. M.","contributorId":77396,"corporation":false,"usgs":true,"family":"Revesz","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":462264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breen, K. J.","contributorId":44176,"corporation":false,"usgs":true,"family":"Breen","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":462263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldassare, A.J.","contributorId":83768,"corporation":false,"usgs":true,"family":"Baldassare","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":462265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burruss, R.C. 0000-0001-6827-804X","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":99574,"corporation":false,"usgs":true,"family":"Burruss","given":"R.C.","affiliations":[],"preferred":false,"id":462266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037635,"text":"70037635 - 2010 - Determining sources of dissolved organic carbon and disinfection byproduct precursors to the McKenzie River, Oregon","interactions":[],"lastModifiedDate":"2018-01-23T11:45:13","indexId":"70037635","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Determining sources of dissolved organic carbon and disinfection byproduct precursors to the McKenzie River, Oregon","docAbstract":"This study was conducted to determine the main sources of dissolved organic carbon (DOC) and disinfection byproduct (DBP) precursors to the McKenzie River, Oregon (USA). Water samples collected from the mainstem, tributaries, and reservoir outflows were analyzed for DOC concentration and DBP formation potentials (trihalomethanes [THMFPs] and haloacetic acids [HAAFPs]). In addition, optical properties (absorbance and fluorescence) of dissolved organic matter (DOM) were measured to provide insight into DOM composition and assess whether optical properties are useful proxies for DOC and DBP precursor concentrations. Optical properties indicative of composition suggest that DOM in the McKenzie River mainstem was primarily allochthonous - derived from soils and plant material in the upstream watershed. Downstream tributaries had higher DOC concentrations than mainstem sites (1.6 ?? 0.4 vs. 0.7 ?? 0.3 mg L-1) but comprised &lt;5% of mainstem flows and had minimal effect on overall DBP precursor loads. Water exiting two large upstream reservoirs also had higher DOC concentrations than the mainstem site upstream of the reservoirs, but optical data did not support in situ algal production as a source of the added DOC during the study. Results suggest that the first major rain event in the fall contributes DOM with high DBP precursor content. Although there was interference in the absorbance spectra in downstream tributary samples, fluorescence data were strongly correlated to DOC concentration (R 2 = 0.98), THMFP (R2 = 0.98), and HAAFP (R2 = 0.96). These results highlight the value of using optical measurements for identifying the concentration and sources of DBP precursors in watersheds, which will help drinking water utilities improve source water monitoring and management programs. Copyright ?? 2010 by the American Society of Agronomy.","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2010.0030","issn":"00472425","usgsCitation":"Kraus, T.E., Anderson, C., Morgenstern, K., Downing, B.D., Pellerin, B.A., and Bergamaschi, B., 2010, Determining sources of dissolved organic carbon and disinfection byproduct precursors to the McKenzie River, Oregon: Journal of Environmental Quality, v. 39, no. 6, p. 2100-2112, https://doi.org/10.2134/jeq2010.0030.","productDescription":"13 p.","startPage":"2100","endPage":"2112","numberOfPages":"13","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":246030,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218050,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2010.0030"}],"volume":"39","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fff4e4b0c8380cd4f4ca","contributors":{"authors":[{"text":"Kraus, Tamara E.C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":1452,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E.C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":462020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":1151,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey W.","email":"chauncey@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":462025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgenstern, Karl","contributorId":57716,"corporation":false,"usgs":true,"family":"Morgenstern","given":"Karl","email":"","affiliations":[],"preferred":false,"id":462021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":462024,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":1448,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","email":"bbergama@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":462022,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037714,"text":"70037714 - 2010 - Ecoregions and stream morphology in eastern Oklahoma","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"70037714","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Ecoregions and stream morphology in eastern Oklahoma","docAbstract":"Broad-scale variables (i.e., geology, topography, climate, land use, vegetation, and soils) influence channel morphology. How and to what extent the longitudinal pattern of channel morphology is influenced by broad-scale variables is important to fluvial geomorphologists and stream ecologists. In the last couple of decades, there has been an increase in the amount of interdisciplinary research between fluvial geomorphologists and stream ecologists. In a historical context, fluvial geomorphologists are more apt to use physiographic regions to distinguish broad-scale variables, while stream ecologists are more apt to use the concept of an ecosystem to address the broad-scale variables that influence stream habitat. For this reason, we designed a study using ecoregions, which uses physical and biological variables to understand how landscapes influence channel processes. Ecoregions are delineated by similarities in geology, climate, soils, land use, and potential natural vegetation. In the fluvial system, stream form and function are dictated by processes observed throughout the fluvial hierarchy. Recognizing that stream form and function should differ by ecoregion, a study was designed to evaluate how the characteristics of stream channels differed longitudinally among three ecoregions in eastern Oklahoma, USA: Boston Mountains, Ozark Highlands, and Ouachita Mountains. Channel morphology of 149 stream reaches was surveyed in 1st- through 4th-order streams, and effects of drainage area and ecoregion on channel morphology was evaluated using multiple regressions. Differences existed (?????0.05) among ecoregions for particle size, bankfull width, and width/depth ratio. No differences existed among ecoregions for gradient or sinuosity. Particle size was smallest in the Ozark Highlands and largest in the Ouachita Mountains. Bankfull width was larger in the Ozark Highlands than in the Boston Mountains and Ouachita Mountains in larger streams. Width/depth ratios of the Boston Mountains and Ozark Highlands were not statistically different. Significant differences existed, however, between the Boston Mountains and Ozark Highlands when compared individually to the Ouachita Mountains. We found that ecoregions afforded a good spatial structure that can help in understanding longitudinal trends in stream reach morphology surveyed at the reach scale. The hierarchy of the fluvial system begins within a broad, relatively homogenous setting that imparts control on processes that affect stream function. Ecoregions provide an adequate regional division to begin a large-scale geomorphic study of processes in stream channels. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.geomorph.2010.06.004","issn":"0169555X","usgsCitation":"Splinter, D.K., Dauwalter, D., Marston, R.A., and Fisher, W., 2010, Ecoregions and stream morphology in eastern Oklahoma: Geomorphology, v. 122, no. 1-2, p. 117-128, https://doi.org/10.1016/j.geomorph.2010.06.004.","startPage":"117","endPage":"128","numberOfPages":"12","costCenters":[],"links":[{"id":217928,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2010.06.004"},{"id":245901,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0595e4b0c8380cd50e6a","contributors":{"authors":[{"text":"Splinter, D. K.","contributorId":9083,"corporation":false,"usgs":false,"family":"Splinter","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":462461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dauwalter, D.C.","contributorId":91687,"corporation":false,"usgs":true,"family":"Dauwalter","given":"D.C.","affiliations":[],"preferred":false,"id":462464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marston, R. A.","contributorId":52422,"corporation":false,"usgs":false,"family":"Marston","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":462462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, W.L.","contributorId":87713,"corporation":false,"usgs":true,"family":"Fisher","given":"W.L.","email":"","affiliations":[],"preferred":false,"id":462463,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157251,"text":"70157251 - 2010 - The use of historical charts and photographs in ecosystem restoration: Examples from the Everglades Historical Air Photo Project","interactions":[],"lastModifiedDate":"2021-11-09T16:46:23.327537","indexId":"70157251","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The use of historical charts and photographs in ecosystem restoration: Examples from the Everglades Historical Air Photo Project","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landscapes through the lens: Aerial photographs and historic environment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxbow Books","publisherLocation":"Oxford, UK; Oakville, CT","usgsCitation":"Smith, T.J., Tiling-Range, G., Jones, J., Nelson, P., Foster, A., and Balentine, K., 2010, The use of historical charts and photographs in ecosystem restoration: Examples from the Everglades Historical Air Photo Project, chap. <i>of</i> Landscapes through the lens: Aerial photographs and historic environment, p. 179-191.","productDescription":"13 p.","startPage":"179","endPage":"191","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019931","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":308140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.815185546875,\n              25.08062377244484\n            ],\n            [\n              -79.85412597656249,\n              25.08062377244484\n            ],\n            [\n              -79.85412597656249,\n              26.60326288363106\n            ],\n            [\n              -81.815185546875,\n              26.60326288363106\n            ],\n            [\n              -81.815185546875,\n              25.08062377244484\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f94153e4b05d6c4e5013bd","contributors":{"editors":[{"text":"Cowley, David C.","contributorId":147719,"corporation":false,"usgs":false,"family":"Cowley","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":572430,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Abicht, Matthew J.","contributorId":147720,"corporation":false,"usgs":false,"family":"Abicht","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":572431,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Standring, Robin A.","contributorId":147721,"corporation":false,"usgs":false,"family":"Standring","given":"Robin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":572432,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":572424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiling-Range, Ginger","contributorId":11914,"corporation":false,"usgs":true,"family":"Tiling-Range","given":"Ginger","affiliations":[],"preferred":false,"id":572425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, John","contributorId":116672,"corporation":false,"usgs":true,"family":"Jones","given":"John","affiliations":[],"preferred":false,"id":572426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Paul panelson@usgs.gov","contributorId":4257,"corporation":false,"usgs":true,"family":"Nelson","given":"Paul","email":"panelson@usgs.gov","affiliations":[],"preferred":true,"id":572427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foster, Ann","contributorId":59119,"corporation":false,"usgs":true,"family":"Foster","given":"Ann","affiliations":[],"preferred":false,"id":572428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balentine, Karen kbalentine@usgs.gov","contributorId":3801,"corporation":false,"usgs":true,"family":"Balentine","given":"Karen","email":"kbalentine@usgs.gov","affiliations":[],"preferred":true,"id":572429,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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