{"pageNumber":"1798","pageRowStart":"44925","pageSize":"25","recordCount":184617,"records":[{"id":70036700,"text":"70036700 - 2011 - Regional spectral analysis of three moderate earthquakes in Northeastern North America","interactions":[],"lastModifiedDate":"2012-12-18T10:20:08","indexId":"70036700","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Regional spectral analysis of three moderate earthquakes in Northeastern North America","docAbstract":"We analyze Fourier spectra obtained from the horizontal components of broadband and accelerogram data from the 1997 Cap-Rouge, the 2002 Ausable Forks, and the 2005 Rivière-du-Loup earthquakes, recorded by Canadian and American stations sited on rock at hypocentral distances from 23 to 602 km. We check the recorded spectra closely for anomalies that might result from site resonance or source effects. We use Beresnev and Atkinson’s (1997) near-surface velocity structures and Boore and Joyner’s (1997) quarter-wave method to estimate site response at hard- and soft-rock sites. We revise the Street <i>et al.</i> (1975) model for geometrical spreading, adopting a crossover distance of r<sub>o</sub>=50 km instead of 100 km. We obtain an average attenuation of <i>Q</i>=410±25f<sup>0.50±0.03</sup> for <i>S+L<sub>g</sub></i>+surface waves with ray paths in the Appalachian and southeastern Grenville Provinces. We correct the recorded spectra for attenuation and site response to estimate source spectral shape and radiated energy for these three earthquakes and the 1988 <b>M</b> 5.8 Saguenay earthquake. The Brune stress drops range from 130 to 419 bars, and the apparent stresses range from 39 to 63 bars. The corrected source spectral shapes of these earthquakes are somewhat variable for frequencies from 0.2 to 2 Hz, falling slightly below the fitted Brune spectra.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120100225","issn":"00371106","usgsCitation":"Boatwright, J., and Seekins, L.C., 2011, Regional spectral analysis of three moderate earthquakes in Northeastern North America: Bulletin of the Seismological Society of America, v. 101, no. 4, p. 1769-1782, https://doi.org/10.1785/0120100225.","productDescription":"14 p.","startPage":"1769","endPage":"1782","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":217532,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120100225"},{"id":245485,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States;Canada","volume":"101","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-08-01","publicationStatus":"PW","scienceBaseUri":"50d20c9de4b08b071e771bbf","contributors":{"authors":[{"text":"Boatwright, John 0000-0002-6931-5241 boat@usgs.gov","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":1938,"corporation":false,"usgs":true,"family":"Boatwright","given":"John","email":"boat@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":457426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seekins, Linda C.","contributorId":14811,"corporation":false,"usgs":true,"family":"Seekins","given":"Linda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":457427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036727,"text":"70036727 - 2011 - Spread of plague among black-tailed prairie dogs is associated with colony spatial characteristics","interactions":[],"lastModifiedDate":"2020-12-28T12:40:59.621458","indexId":"70036727","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Spread of plague among black-tailed prairie dogs is associated with colony spatial characteristics","docAbstract":"<p><span>Sylvatic plague (</span><i>Yersinia pestis</i><span>) is an exotic pathogen that is highly virulent in black‐tailed prairie dogs (</span><i>Cynomys ludovicianus</i><span>) and causes widespread colony losses and individual mortality rates &gt;95%. We investigated colony spatial characteristics that may influence inter‐colony transmission of plague at 3 prairie dog colony complexes in the Great Plains. The 4 spatial characteristics we considered include: colony size, Euclidean distance to nearest neighboring colony, colony proximity index, and distance to nearest drainage (dispersal) corridor. We used multi‐state mark–recapture models to determine the relationship between these colony characteristics and probability of plague transmission among prairie dog colonies. Annual mapping of colonies and mark–recapture analyses of disease dynamics in natural colonies led to 4 main results: 1) plague outbreaks exhibited high spatial and temporal variation, 2) the site of initiation of epizootic plague may have substantially influenced the subsequent inter‐colony spread of plague, 3) the long‐term effect of plague on individual colonies differed among sites because of how individuals and colonies were distributed, and 4) colony spatial characteristics were related to the probability of infection at all sites although the relative importance and direction of relationships varied among sites. Our findings suggest that conventional prairie dog conservation management strategies, including promoting large, highly connected colonies, may need to be altered in the presence of plague.</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.40","issn":"0022541X","usgsCitation":"Johnson, T.L., Cully, J., Collinge, S., Ray, C., Frey, C., and Sandercock, B.K., 2011, Spread of plague among black-tailed prairie dogs is associated with colony spatial characteristics: Journal of Wildlife Management, v. 75, no. 2, p. 357-368, https://doi.org/10.1002/jwmg.40.","productDescription":"12 p.","startPage":"357","endPage":"368","costCenters":[],"links":[{"id":245429,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217478,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.40"}],"country":"United States","state":"Colorado, Oklahoma, Texas, Kansas, New Mexico","otherGeospatial":"Cimarron National Grassland, Carizo Unit of the Comanche National Grassland, Kiowa‐Rita Blanca National Grasslands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.84277343749999,\n              35.85343961959182\n            ],\n            [\n              -100.0634765625,\n              35.85343961959182\n            ],\n            [\n              -100.0634765625,\n              37.64903402157866\n            ],\n            [\n              -103.84277343749999,\n              37.64903402157866\n            ],\n            [\n              -103.84277343749999,\n              35.85343961959182\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-29","publicationStatus":"PW","scienceBaseUri":"505b960de4b08c986b31b27f","contributors":{"authors":[{"text":"Johnson, T. L.","contributorId":91062,"corporation":false,"usgs":true,"family":"Johnson","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":457541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cully, J.F. Jr.","contributorId":51041,"corporation":false,"usgs":true,"family":"Cully","given":"J.F.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":457538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collinge, S.K.","contributorId":58832,"corporation":false,"usgs":true,"family":"Collinge","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":457539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, C.","contributorId":40758,"corporation":false,"usgs":true,"family":"Ray","given":"C.","email":"","affiliations":[],"preferred":false,"id":457537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frey, C.M.","contributorId":22995,"corporation":false,"usgs":true,"family":"Frey","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":457536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandercock, B. K.","contributorId":61382,"corporation":false,"usgs":false,"family":"Sandercock","given":"B.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":457540,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036726,"text":"70036726 - 2011 - USGS 1-min Dst index","interactions":[],"lastModifiedDate":"2020-12-23T18:02:00.467371","indexId":"70036726","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2187,"text":"Journal of Atmospheric and Solar-Terrestrial Physics","active":true,"publicationSubtype":{"id":10}},"title":"USGS 1-min Dst index","docAbstract":"<p>W<span>e produce a 1-min time resolution storm-time disturbance index, the USGS Dst, called&nbsp;</span><i>Dst</i><sup>8507-4<i>SM</i></sup><span>. This index is based on minute resolution horizontal magnetic field intensity from low-latitude observatories in Honolulu, Kakioka, San Juan and Hermanus, for the years 1985–2007. The method used to produce the index uses a combination of time- and frequency-domain techniques, which more clearly identifies and excises solar-quiet variation from the horizontal intensity time series of an individual station than the strictly time-domain method used in the Kyoto Dst index. The USGS 1-min Dst is compared against the Kyoto Dst, Kyoto Sym-H, and the USGS 1-h Dst (</span><i>Dst</i><sup>5807-4<i>SH</i></sup><span>). In a time series comparison, Sym-H is found to produce more extreme values during both sudden impulses and main phase maximum deviation, possibly due to the latitude of its contributing observatories. Both Kyoto indices are shown to have a peak in their distributions below zero, while the USGS indices have a peak near zero. The USGS 1-min Dst is shown to have the higher time resolution benefits of Sym-H, while using the more typical low-latitude observatories of Kyoto Dst.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jastp.2010.02.013","issn":"13646826","usgsCitation":"Gannon, J., and Love, J.J., 2011, USGS 1-min Dst index: Journal of Atmospheric and Solar-Terrestrial Physics, v. 73, no. 2-3, p. 323-334, https://doi.org/10.1016/j.jastp.2010.02.013.","productDescription":"12 p.","startPage":"323","endPage":"334","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":245402,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217452,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jastp.2010.02.013"}],"volume":"73","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbb85e4b08c986b328697","contributors":{"authors":[{"text":"Gannon, J.L.","contributorId":78275,"corporation":false,"usgs":true,"family":"Gannon","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":457535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":457534,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036764,"text":"70036764 - 2011 - Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M3)","interactions":[],"lastModifiedDate":"2017-06-30T09:52:16","indexId":"70036764","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M<sup>3</sup>)","title":"Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M3)","docAbstract":"<p><span>Soils within the impact crater Goldschmidt have been identified as spectrally distinct from the local highland material. High spatial and spectral resolution data from the Moon Mineralogy Mapper (M</span><sup>3</sup><span>) on the Chandrayaan-1 orbiter are used to examine the character of Goldschmidt crater in detail. Spectral parameters applied to a north polar mosaic of M</span><sup>3</sup><span><span>&nbsp;</span>data are used to discern large-scale compositional trends at the northern high latitudes, and spectra from three widely separated regions are compared to spectra from Goldschmidt. The results highlight the compositional diversity of the lunar nearside, in particular, where feldspathic soils with a low-Ca pyroxene component are pervasive, but exclusively feldspathic regions and small areas of basaltic composition are also observed. Additionally, we find that the relative strengths of the diagnostic OH/H</span><sub>2</sub><span>O absorption feature near 3000 nm are correlated with the mineralogy of the host material. On both global and local scales, the strongest hydrous absorptions occur on the more feldspathic surfaces. Thus, M</span><sup>3</sup><span><span>&nbsp;</span>data suggest that while the feldspathic soils within Goldschmidt crater are enhanced in OH/H</span><sub>2</sub><span>O compared to the relatively mafic nearside polar highlands, their hydration signatures are similar to those observed in the feldspathic highlands on the farside.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010JE003702","issn":"01480227","usgsCitation":"Cheek, L., Pieters, C., Boardman, J., Clark, R.N., Combe, J.#., Head, J., Isaacson, P., McCord, T.B., Moriarty, D., Nettles, J., Petro, N., Sunshine, J., and Taylor, L., 2011, Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M3): Journal of Geophysical Research E: Planets, v. 116, no. 2, https://doi.org/10.1029/2010JE003702.","ipdsId":"IP-024464","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475407,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003702","text":"Publisher Index Page"},{"id":217510,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JE003702"},{"id":245461,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-04","publicationStatus":"PW","scienceBaseUri":"505a29a7e4b0c8380cd5ab0e","contributors":{"authors":[{"text":"Cheek, L.C.","contributorId":45934,"corporation":false,"usgs":true,"family":"Cheek","given":"L.C.","email":"","affiliations":[],"preferred":false,"id":457712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pieters, C.M.","contributorId":48733,"corporation":false,"usgs":true,"family":"Pieters","given":"C.M.","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":457713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boardman, J.W.","contributorId":106301,"corporation":false,"usgs":true,"family":"Boardman","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":457719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":457707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Combe, J. #NAME?","contributorId":37982,"corporation":false,"usgs":false,"family":"Combe","given":"J.","email":"","middleInitial":"#NAME?","affiliations":[],"preferred":false,"id":457711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Head, J.W.","contributorId":67982,"corporation":false,"usgs":true,"family":"Head","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":457715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Isaacson, P.J.","contributorId":63236,"corporation":false,"usgs":true,"family":"Isaacson","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":457714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCord, T. B.","contributorId":69695,"corporation":false,"usgs":false,"family":"McCord","given":"T.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":457716,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moriarty, D.","contributorId":82953,"corporation":false,"usgs":true,"family":"Moriarty","given":"D.","email":"","affiliations":[],"preferred":false,"id":457718,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nettles, J.W.","contributorId":26165,"corporation":false,"usgs":true,"family":"Nettles","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":457710,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Petro, N.E.","contributorId":18999,"corporation":false,"usgs":true,"family":"Petro","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":457709,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sunshine, J.M.","contributorId":74591,"corporation":false,"usgs":true,"family":"Sunshine","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":457717,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Taylor, L.A.","contributorId":14160,"corporation":false,"usgs":true,"family":"Taylor","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":457708,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70036787,"text":"70036787 - 2011 - An occurrence of the protocetid whale \"Eocetus\" wardii in the middle Eocene Piney Point Formation of Virginia","interactions":[],"lastModifiedDate":"2020-03-27T06:33:01","indexId":"70036787","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2412,"text":"Journal of Paleontology","active":true,"publicationSubtype":{"id":10}},"title":"An occurrence of the protocetid whale \"Eocetus\" wardii in the middle Eocene Piney Point Formation of Virginia","docAbstract":"Two protocetid whale vertebrae, here referred to “Eocetus” wardii, have been recovered from the riverbed of the Pamunkey River in east-central Virginia. Neither bone was found in situ, but both were found with lumps of lithified matrix cemented to their surfaces. Most of this matrix was removed and processed for microfossils. Specimens of dinoflagellates were successfully recovered and this flora clearly demonstrates that both vertebrae came from the middle Eocene Piney Point Formation, which crops out above and below river level in the area where the bones were discovered. These vertebrae are the oldest whale remains reported from Virginia and are as old as any cetacean remains known from the western hemisphere.","language":"English","publisher":"The Paleontological Society","doi":"10.1666/10-083.1","issn":"00223360","usgsCitation":"Weems, R.E., Edwards, L.E., Osborne, J.E., and Alford, A., 2011, An occurrence of the protocetid whale \"Eocetus\" wardii in the middle Eocene Piney Point Formation of Virginia: Journal of Paleontology, v. 85, no. 2, p. 271-278, https://doi.org/10.1666/10-083.1.","productDescription":"8 p.","startPage":"271","endPage":"278","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":245406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.68,36.54 ], [ -83.68,39.47 ], [ -75.24,39.47 ], [ -75.24,36.54 ], [ -83.68,36.54 ] ] ] } } ] }","volume":"85","issue":"2","noUsgsAuthors":false,"publicationDate":"2015-07-14","publicationStatus":"PW","scienceBaseUri":"5059ea97e4b0c8380cd4897b","contributors":{"authors":[{"text":"Weems, Robert E. 0000-0002-1907-7804 rweems@usgs.gov","orcid":"https://orcid.org/0000-0002-1907-7804","contributorId":2663,"corporation":false,"usgs":true,"family":"Weems","given":"Robert","email":"rweems@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":785627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":457852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osborne, Jason E.","contributorId":171937,"corporation":false,"usgs":false,"family":"Osborne","given":"Jason","email":"","middleInitial":"E.","affiliations":[{"id":26968,"text":"Paleo Quest","active":true,"usgs":false}],"preferred":false,"id":457850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alford, A.A.","contributorId":30073,"corporation":false,"usgs":true,"family":"Alford","given":"A.A.","email":"","affiliations":[],"preferred":false,"id":457851,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036762,"text":"70036762 - 2011 - Antibiotic use during the intracoelomic implantation of electronic tags into fish","interactions":[],"lastModifiedDate":"2020-12-21T20:15:33.162792","indexId":"70036762","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Antibiotic use during the intracoelomic implantation of electronic tags into fish","docAbstract":"<p><span>The use of antibiotics, in particular, the use of a single dose of antibiotics during electronic tag implantation is of unproven value, and carries with it the potential for the development of antibiotic resistance in bacteria and the alteration of the immune response of the fish. Antibiotic use during electronic tag implantation must conform to relevant drug laws and regulations in the country where work is being done, including the requirements for withdrawal times before human consumption is a possibility. Currently, the choice of antibiotics (most often tetracycline or oxytetracycline) and the use of a single dose of the drug are decisions made without knowledge of the basic need for antibiotic usage and of the bacteria involved in infections that occur following electronic tag implantation. Correct perioperative use of an antibiotic is to apply the drug to the animal before surgery begins, to assure serum and tissue levels of the drug are adequate before the incision is made. However, the most common perioperative application of antibiotics during implantation of an electronic tag is to delay the administration of the drug, injecting it into the coelom after the electronic tag is inserted, just prior to closure of the incision. There is little empirical evidence that the present application of antibiotics in fish being implanted with electronic tags is of value. Improvements should first be made to surgical techniques, especially the use of aseptic techniques and sterilized instruments and electronic tags, before resorting to antibiotics.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s11160-010-9190-6","issn":"09603166","usgsCitation":"Mulcahy, D., 2011, Antibiotic use during the intracoelomic implantation of electronic tags into fish: Reviews in Fish Biology and Fisheries, v. 21, no. 1, p. 83-96, https://doi.org/10.1007/s11160-010-9190-6.","productDescription":"14 p.","startPage":"83","endPage":"96","costCenters":[],"links":[{"id":245432,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217481,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11160-010-9190-6"}],"volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-16","publicationStatus":"PW","scienceBaseUri":"5059ec5de4b0c8380cd49222","contributors":{"authors":[{"text":"Mulcahy, D.M.","contributorId":43302,"corporation":false,"usgs":true,"family":"Mulcahy","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":457702,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036930,"text":"70036930 - 2011 - Mapping the Philippines' mangrove forests using Landsat imagery","interactions":[],"lastModifiedDate":"2017-04-06T13:28:33","indexId":"70036930","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"Mapping the Philippines' mangrove forests using Landsat imagery","docAbstract":"<p><span>Current, accurate, and reliable information on the areal extent and spatial distribution of mangrove forests in the Philippines is limited. Previous estimates of mangrove extent do not illustrate the spatial distribution for the entire country. This study, part of a global assessment of mangrove dynamics, mapped the spatial distribution and areal extent of the Philippines’ mangroves circa 2000. We used publicly available Landsat data acquired primarily from the Global Land Survey to map the total extent and spatial distribution. ISODATA clustering, an unsupervised classification technique, was applied to 61 Landsat images. Statistical analysis indicates the total area of mangrove forest cover was approximately 256,185 hectares circa 2000 with overall classification accuracy of 96.6% and a kappa coefficient of 0.926. These results differ substantially from most recent estimates of mangrove area in the Philippines. The results of this study may assist the decision making processes for rehabilitation and conservation efforts that are currently needed to protect and restore the Philippines’ degraded mangrove forests. </span></p>","language":"English","publisher":"MDPI","doi":"10.3390/s110302972","issn":"14248220","usgsCitation":"Long, J., and Giri, C., 2011, Mapping the Philippines' mangrove forests using Landsat imagery: Sensors, v. 11, no. 3, p. 2972-2981, https://doi.org/10.3390/s110302972.","productDescription":"10 p.","startPage":"2972","endPage":"2981","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475281,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s110302972","text":"Publisher Index Page"},{"id":245806,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217834,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/s110302972"}],"volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-07","publicationStatus":"PW","scienceBaseUri":"505a507be4b0c8380cd6b6fa","contributors":{"authors":[{"text":"Long, Jordan 0000-0002-4814-464X jlong@usgs.gov","orcid":"https://orcid.org/0000-0002-4814-464X","contributorId":3609,"corporation":false,"usgs":true,"family":"Long","given":"Jordan","email":"jlong@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":458517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":189128,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":458518,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036785,"text":"70036785 - 2011 - Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","interactions":[],"lastModifiedDate":"2018-02-21T10:49:44","indexId":"70036785","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","docAbstract":"Recent flood events in the Prairie Pothole Region of North America have stimulated interest in modeling water storage capacities of wetlands and their surrounding catchments to facilitate flood mitigation efforts. Accurate estimates of basin storage capacities have been hampered by a lack of high-resolution elevation data. In this paper, we developed a 0.5 m bare-earth model from Light Detection And Ranging (LiDAR) data and, in combination with National Wetlands Inventory data, delineated wetland catchments and their spilling points within a 196 km2 study area. We then calculated the maximum water storage capacity of individual basins and modeled the connectivity among these basins. When compared to field survey results, catchment and spilling point delineations from the LiDAR bare-earth model captured subtle landscape features very well. Of the 11 modeled spilling points, 10 matched field survey spilling points. The comparison between observed and modeled maximum water storage had an R<sup>2</sup> of 0.87 with mean absolute error of 5564 m<sup>3</sup>. Since maximum water storage capacity of basins does not translate into floodwater regulation capability, we further developed a Basin Floodwater Regulation Index. Based upon this index, the absolute and relative water that could be held by wetlands over a landscape could be modeled. This conceptual model of floodwater downstream contribution was demonstrated with water level data from 17 May 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhydrol.2011.05.040","issn":"00221694","usgsCitation":"Huang, S., Young, C., Feng, M., Heidemann, H.K., Cushing, M., Mushet, D., and Liu, S., 2011, Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands: Journal of Hydrology, v. 405, no. 3-4, p. 417-426, https://doi.org/10.1016/j.jhydrol.2011.05.040.","productDescription":"10 p.","startPage":"417","endPage":"426","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245856,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217883,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.05.040"}],"country":"United States;Canada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,40.38 ], [ -120.0,60.0 ], [ -90.14,60.0 ], [ -90.14,40.38 ], [ -120.0,40.38 ] ] ] } } ] }","volume":"405","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fe90e4b0c8380cd4edca","contributors":{"authors":[{"text":"Huang, S.","contributorId":18168,"corporation":false,"usgs":true,"family":"Huang","given":"S.","affiliations":[],"preferred":false,"id":457836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":457838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":457837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heidemann, Hans Karl 0000-0003-4306-359X kheidemann@usgs.gov","orcid":"https://orcid.org/0000-0003-4306-359X","contributorId":3755,"corporation":false,"usgs":true,"family":"Heidemann","given":"Hans","email":"kheidemann@usgs.gov","middleInitial":"Karl","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":457842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cushing, Matthew 0000-0001-5209-6006","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":66101,"corporation":false,"usgs":true,"family":"Cushing","given":"Matthew","affiliations":[],"preferred":false,"id":457840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":457839,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":457841,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70036784,"text":"70036784 - 2011 - Horizontal movements of Atlantic blue marlin (Makaira nigricans) in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-12-22T13:13:02.380849","indexId":"70036784","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Horizontal movements of Atlantic blue marlin (Makaira nigricans) in the Gulf of Mexico","docAbstract":"<p><span>We examined movements of Atlantic blue marlin (</span><i>Makaira nigricans</i><span>) from the Gulf of Mexico based upon 42 pop-up archival transmitting (PAT) tags. Long deployments (including one 334-day track) revealed diverse movement patterns within the Gulf of Mexico. North–south seasonal changes in blue marlin distribution showed strong correspondence with established seasonal patterns of sea surface temperature and primary production. During the summer spawning season, blue marlin utilized outer shelf and shelf edge waters in the northern Gulf of Mexico, and longer duration tracks indicated overwintering habitats in the Bay of Campeche. Egress occurred throughout the year and was difficult to determine because some tracks ended in the Straits of Florida (</span><i>n</i><span>&nbsp;=&nbsp;3) while other tracks recorded movement through it or the Yucatan Channel (</span><i>n</i><span>&nbsp;=&nbsp;4). Our results indicate that Atlantic blue marlin have a more restricted geographic range of habitats than previously recognized and that the Gulf of Mexico provides spatially dynamic suitable habitat that is utilized year-round through seasonal movements.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00227-010-1593-3","issn":"00253162","usgsCitation":"Kraus, R.T., Wells, R., and Rooker, J., 2011, Horizontal movements of Atlantic blue marlin (Makaira nigricans) in the Gulf of Mexico: Marine Biology, v. 158, no. 3, p. 699-713, https://doi.org/10.1007/s00227-010-1593-3.","productDescription":"15 p.","startPage":"699","endPage":"713","costCenters":[],"links":[{"id":245827,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.533203125,\n              19.80805412808859\n            ],\n            [\n              -77.080078125,\n              23.079731762449878\n            ],\n            [\n              -81.73828125,\n              25.799891182088334\n            ],\n            [\n              -84.111328125,\n              29.458731185355344\n            ],\n            [\n              -86.923828125,\n              30.14512718337613\n            ],\n            [\n              -90,\n              29.305561325527698\n            ],\n            [\n              -94.833984375,\n              29.38217507514529\n            ],\n            [\n              -97.119140625,\n              26.980828590472107\n            ],\n            [\n              -97.294921875,\n              23.644524198573688\n            ],\n            [\n              -95.712890625,\n              19.80805412808859\n            ],\n            [\n              -92.8125,\n              19.89072302399691\n            ],\n            [\n              -89.82421875,\n              22.268764039073968\n            ],\n            [\n              -86.396484375,\n              21.94304553343818\n            ],\n            [\n              -87.36328125,\n              17.811456088564483\n            ],\n            [\n              -87.890625,\n              16.130262012034756\n            ],\n            [\n              -74.267578125,\n              16.29905101458183\n            ],\n            [\n              -66.97265625,\n              16.804541076383455\n            ],\n            [\n              -64.599609375,\n              16.804541076383455\n            ],\n            [\n              -64.423828125,\n              19.394067895396613\n            ],\n            [\n              -66.533203125,\n              19.80805412808859\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"158","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-01-12","publicationStatus":"PW","scienceBaseUri":"505a321ee4b0c8380cd5e531","contributors":{"authors":[{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":457834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wells, R.J.D.","contributorId":105568,"corporation":false,"usgs":true,"family":"Wells","given":"R.J.D.","email":"","affiliations":[],"preferred":false,"id":457835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rooker, J.R.","contributorId":13072,"corporation":false,"usgs":true,"family":"Rooker","given":"J.R.","affiliations":[],"preferred":false,"id":457833,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036959,"text":"70036959 - 2011 - Cytochrome P4501A biomarker indication of the timeline of chronic exposure of Barrow’s goldeneyes to residual Exxon Valdez oil","interactions":[],"lastModifiedDate":"2018-03-29T11:00:40","indexId":"70036959","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cytochrome P4501A biomarker indication of the timeline of chronic exposure of Barrow’s goldeneyes to residual <i>Exxon Valdez</i> oil","title":"Cytochrome P4501A biomarker indication of the timeline of chronic exposure of Barrow’s goldeneyes to residual Exxon Valdez oil","docAbstract":"<p><span>We examined hepatic EROD activity, as an indicator of CYP1A induction, in Barrow’s goldeneyes captured in areas oiled during the 1989&nbsp;</span><i>Exxon Valdez</i><span><span>&nbsp;</span>spill and those from nearby unoiled areas. We found that average EROD activity differed between areas during 2005, although the magnitude of the difference was reduced relative to a previous study from 1996/1997, and we found that areas did not differ by 2009. Similarly, we found that the proportion of individuals captured from oiled areas with elevated EROD activity (⩾2 times unoiled average) declined from 41% in winter 1996/1997 to 10% in 2005 and 15% in 2009. This work adds to a body of literature describing the timelines over which vertebrates were exposed to residual<span>&nbsp;</span></span><i>Exxon Valdez</i><span><span>&nbsp;</span>oil and indicates that, for Barrow’s goldeneyes in Prince William Sound, exposure persisted for many years with evidence of substantially reduced exposure by 2 decades after the spill.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2010.11.015","usgsCitation":"Esler, D., Ballachey, B.E., Trust, K.A., Iverson, S.A., Reed, J.A., Miles, A.K., Henderson, J.D., Woodin, B.R., Stegeman, J.J., McAdie, M., Mulcahy, D.M., and Wilson, B.W., 2011, Cytochrome P4501A biomarker indication of the timeline of chronic exposure of Barrow’s goldeneyes to residual Exxon Valdez oil: Marine Pollution Bulletin, v. 62, no. 3, p. 609-614, https://doi.org/10.1016/j.marpolbul.2010.11.015.","productDescription":"6 p.","startPage":"609","endPage":"614","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":475288,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/4529","text":"External Repository"},{"id":245838,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"62","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fd2ce4b0c8380cd4e693","contributors":{"authors":[{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":458670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":458673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trust, Kimberly A.","contributorId":42503,"corporation":false,"usgs":false,"family":"Trust","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":458681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iverson, Samuel A.","contributorId":52308,"corporation":false,"usgs":false,"family":"Iverson","given":"Samuel","email":"","middleInitial":"A.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":458671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, John A. 0000-0002-3239-6906 jareed@usgs.gov","orcid":"https://orcid.org/0000-0002-3239-6906","contributorId":127683,"corporation":false,"usgs":true,"family":"Reed","given":"John","email":"jareed@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":458675,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":458678,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Henderson, John D.","contributorId":94632,"corporation":false,"usgs":false,"family":"Henderson","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":458677,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Woodin, Bruce R.","contributorId":96632,"corporation":false,"usgs":false,"family":"Woodin","given":"Bruce","email":"","middleInitial":"R.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":458679,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stegeman, John J.","contributorId":55102,"corporation":false,"usgs":false,"family":"Stegeman","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":458676,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McAdie, Malcolm","contributorId":14757,"corporation":false,"usgs":false,"family":"McAdie","given":"Malcolm","email":"","affiliations":[],"preferred":false,"id":458680,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":458674,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilson, Barry W.","contributorId":59395,"corporation":false,"usgs":false,"family":"Wilson","given":"Barry","email":"","middleInitial":"W.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":458672,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70036864,"text":"70036864 - 2011 - Co-occurrence patterns of trees along macro-climatic gradients and their potential influence on the present and future distribution of Fagus sylvatica L.","interactions":[],"lastModifiedDate":"2020-12-18T18:15:21.920437","indexId":"70036864","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Co-occurrence patterns of trees along macro-climatic gradients and their potential influence on the present and future distribution of Fagus sylvatica L.","docAbstract":"<p><span>During recent and future climate change, shifts in large-scale species ranges are expected due to the hypothesized major role of climatic factors in regulating species distributions. The stress-gradient hypothesis suggests that biotic interactions may act as major constraints on species distributions under more favourable growing conditions, while climatic constraints may dominate under unfavourable conditions. We tested this hypothesis for one focal tree species having three major competitors using broad-scale environmental data. We evaluated the variation of species co-occurrence patterns in climate space and estimated the influence of these patterns on the distribution of the focal species for current and projected future climates. Location: Europe. Methods: We used ICP Forest Level 1 data as well as climatic, topographic and edaphic variables. First, correlations between the relative abundance of European beech (Fagus sylvatica) and three major competitor species (Picea abies, Pinus sylvestris and Quercus robur) were analysed in environmental space, and then projected to geographic space. Second, a sensitivity analysis was performed using generalized additive models (GAM) to evaluate where and how much the predicted F. sylvatica distribution varied under current and future climates if potential competitor species were included or excluded. We evaluated if these areas coincide with current species co-occurrence patterns. Results: Correlation analyses supported the stress-gradient hypothesis: towards favourable growing conditions of F. sylvatica, its abundance was strongly linked to the abundance of its competitors, while this link weakened towards unfavourable growing conditions, with stronger correlations in the south and at low elevations than in the north and at high elevations. The sensitivity analysis showed a potential spatial segregation of species with changing climate and a pronounced shift of zones where co-occurrence patterns may play a major role. Main conclusions: Our Results: demonstrate the importance of species co-occurrence patterns for calibrating improved species distribution models for use in projections of climate effects. The correlation approach is able to localize European areas where inclusion of biotic predictors is effective. The climateinduced spatial segregation of the major tree species could have ecological and economic consequences.</span></p>","language":"English","publisher":"Blackwell Publishing","doi":"10.1111/j.1365-2699.2010.02405.x","issn":"03050270","usgsCitation":"Meier, E., Edwards, T.C., Kienast, F., Dobbertin, M., and Zimmermann, N., 2011, Co-occurrence patterns of trees along macro-climatic gradients and their potential influence on the present and future distribution of Fagus sylvatica L.: Journal of Biogeography, v. 38, no. 2, p. 371-382, https://doi.org/10.1111/j.1365-2699.2010.02405.x.","productDescription":"12 p.","startPage":"371","endPage":"382","ipdsId":"IP-024915","costCenters":[],"links":[{"id":488972,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/3436519","text":"External Repository"},{"id":245710,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217747,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2699.2010.02405.x"}],"otherGeospatial":"Europe","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -10.1953125,\n              36.31512514748051\n            ],\n            [\n              0.703125,\n              37.16031654673677\n            ],\n            [\n              5.712890625,\n              38.06539235133249\n            ],\n            [\n              9.404296875,\n              38.34165619279595\n            ],\n            [\n              14.677734375000002,\n              35.02999636902566\n            ],\n            [\n              29.091796875,\n              34.66935854524543\n            ],\n            [\n              29.443359375,\n              36.527294814546245\n            ],\n            [\n              26.279296875,\n              40.245991504199026\n            ],\n            [\n              32.16796875,\n              45.9511496866914\n            ],\n            [\n              40.25390625,\n              47.57652571374621\n            ],\n            [\n              40.25390625,\n              49.724479188712984\n            ],\n            [\n              33.57421875,\n              52.482780222078226\n            ],\n            [\n              29.970703124999996,\n              51.998410382390325\n            ],\n            [\n              32.431640625,\n              53.64463782485651\n            ],\n            [\n              30.673828125,\n              55.727110085045986\n            ],\n            [\n              28.652343749999996,\n              56.70450561416937\n            ],\n            [\n              30.937499999999996,\n              60.58696734225869\n            ],\n            [\n              30.937499999999996,\n              64.62387720204688\n            ],\n            [\n              29.53125,\n              69.41124235697256\n            ],\n            [\n              31.289062500000004,\n              71.85622888185527\n            ],\n            [\n              21.09375,\n              71.63599288330609\n            ],\n            [\n              8.0859375,\n              67.06743335108298\n            ],\n            [\n              -12.65625,\n              60.75915950226991\n            ],\n            [\n              -13.7109375,\n              54.36775852406841\n            ],\n            [\n              -10.1953125,\n              36.31512514748051\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-10-29","publicationStatus":"PW","scienceBaseUri":"5059f67ae4b0c8380cd4c7b7","contributors":{"authors":[{"text":"Meier, E.S.","contributorId":102713,"corporation":false,"usgs":true,"family":"Meier","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":458190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":2061,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas","suffix":"Jr.","email":"tce@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":false,"id":458188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kienast, Felix","contributorId":9508,"corporation":false,"usgs":true,"family":"Kienast","given":"Felix","email":"","affiliations":[],"preferred":false,"id":458186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobbertin, M.","contributorId":98601,"corporation":false,"usgs":true,"family":"Dobbertin","given":"M.","email":"","affiliations":[],"preferred":false,"id":458189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmermann, N.E.","contributorId":24547,"corporation":false,"usgs":true,"family":"Zimmermann","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":458187,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70154899,"text":"70154899 - 2011 - Age estimation of a large bighead carp from Grand Lake, Oklahoma","interactions":[],"lastModifiedDate":"2019-12-12T06:41:05","indexId":"70154899","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3894,"text":"Proceedings of the Oklahoma Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Age estimation of a large bighead carp from Grand Lake, Oklahoma","docAbstract":"<p>On April 23, 2011, a 1356-mm total length (TL), 39.8 kg bighead carp (<i>Hypophthalmichthys nobilis</i>) was brought to the Oklahoma Department of Wildlife Conservation. This specimen is the largest bighead carp recorded from Oklahoma, and it is near the maximum size reported from the United States. This specimen was estimated to be nine years old based on estimates from three different structures (pectoral fin ray, branchiostegal ray, and otolith). The age, together with past Oklahoma records of the species, indicates that there has been multiple introductions or undocumented reproduction of bighead carp in the Grand Lake basin.</p>","language":"English","publisher":"Oklahoma Academy of Science","usgsCitation":"Long, J.M., and Nealis, A., 2011, Age estimation of a large bighead carp from Grand Lake, Oklahoma: Proceedings of the Oklahoma Academy of Science, v. 91, p. 15-18.","productDescription":"3 p.","startPage":"15","endPage":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030078","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":308159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Grand Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.0701904296875,\n              36.445589751779174\n            ],\n            [\n              -94.63623046875,\n              36.445589751779174\n            ],\n            [\n              -94.63623046875,\n              36.832370801556834\n            ],\n            [\n              -95.0701904296875,\n              36.832370801556834\n            ],\n            [\n              -95.0701904296875,\n              36.445589751779174\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fa92afe4b05d6c4e501a50","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nealis, Ashley","contributorId":147727,"corporation":false,"usgs":false,"family":"Nealis","given":"Ashley","email":"","affiliations":[],"preferred":false,"id":572460,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036697,"text":"70036697 - 2011 - Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization","interactions":[],"lastModifiedDate":"2017-11-20T13:26:04","indexId":"70036697","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization","docAbstract":"<p id=\"sp0065\">High-sulfidation copper–gold lode deposits such as Chinkuashih, Taiwan, Lepanto, Philippines, and Goldfield, Nevada, formed within 1500&nbsp;m of the paleosurface in volcanic terranes. All underwent an early stage of extensive advanced argillic silica–alunite alteration followed by an abrupt change to spatially much more restricted stages of fracture-controlled sulfide–sulfosalt mineral assemblages and gold–silver mineralization. The alteration as well as ore mineralization stages of these deposits were controlled by the dynamics and history of syn-hydrothermal faulting.</p><p id=\"sp0070\">At the Sulfate Stage, aggressive advanced argillic alteration and silicification were consequent on the<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>formation of acidic condensate from magmatic vapor as it expanded through secondary fracture networks alongside active faults. The reduction of permeability at this stage due to alteration decreased fluid flow to the surface, and progressively developed a barrier between magmatic-vapor expansion constrained by the active faults and peripheral hydrothermal activity dominated by hot-water flow. In conjunction with the increased rock strength resulting from alteration, subsequent fault-slip inversion in response to an increase in compressional stress generated new, highly permeable fractures localized by the embrittled, altered rock. The new fractures focused magmatic-vapor expansion with much lower heat loss so that condensation occurred. Sulfide Stage sulfosalt, sulfide, and gold–silver deposition then resulted from destabilization of vapor phase metal species due to vapor decompression through the new fracture array. The switch from sulfate to sulfide assemblages is, therefore, a logical consequence of changes in structural permeability due to the coupling of alteration and fracture dynamics rather than to changes in the chemistry of the fluid phase at its magmatic source.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2010.11.004","issn":"01691368","usgsCitation":"Berger, B.R., and Henley, R.W., 2011, Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization: Ore Geology Reviews, v. 39, no. 1-2, p. 75-90, https://doi.org/10.1016/j.oregeorev.2010.11.004.","productDescription":"16 p.","startPage":"75","endPage":"90","numberOfPages":"16","ipdsId":"IP-018409","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475301,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2010.11.004","text":"Publisher Index Page"},{"id":245428,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217477,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.oregeorev.2010.11.004"}],"volume":"39","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4b52e4b0c8380cd69466","contributors":{"authors":[{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":457416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henley, Richard W.","contributorId":107193,"corporation":false,"usgs":true,"family":"Henley","given":"Richard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":457415,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036702,"text":"70036702 - 2011 - Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches","interactions":[],"lastModifiedDate":"2012-12-30T20:38:21","indexId":"70036702","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches","docAbstract":"Efforts to improve public health protection in recreational swimming waters have focused on obtaining real-time estimates of water quality. Current monitoring techniques rely on the time-intensive culturing of fecal indicator bacteria (FIB) from water samples, but rapidly changing FIB concentrations result in management errors that lead to the public being exposed to high FIB concentrations (type II error) or beaches being closed despite acceptable water quality (type I error). Empirical predictive models may provide a rapid solution, but their effectiveness at improving health protection has not been adequately assessed. We sought to determine if emerging monitoring approaches could effectively reduce risk of illness exposure by minimizing management errors. We examined four monitoring approaches (inactive, current protocol, a single predictive model for all beaches, and individual models for each beach) with increasing refinement at 14 Chicago beaches using historical monitoring and hydrometeorological data and compared management outcomes using different standards for decision-making. Predictability (R<sup>2</sup>) of FIB concentration improved with model refinement at all beaches but one. Predictive models did not always reduce the number of management errors and therefore the overall illness burden. Use of a Chicago-specific single-sample standard-rather than the default 235 <i>E. coli</i> CFU/100 ml widely used-together with predictive modeling resulted in the greatest number of open beach days without any increase in public health risk. These results emphasize that emerging monitoring approaches such as empirical models are not equally applicable at all beaches, and combining monitoring approaches may expand beach access.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.watres.2010.12.010","issn":"00431354","usgsCitation":"Nevers, M.B., and Whitman, R.L., 2011, Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches: Water Research, v. 45, no. 4, p. 1659-1668, https://doi.org/10.1016/j.watres.2010.12.010.","productDescription":"10 p.","startPage":"1659","endPage":"1668","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":217564,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2010.12.010"},{"id":245517,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0861e4b0c8380cd51ac9","contributors":{"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":457433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":457432,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036871,"text":"70036871 - 2011 - The characteristics of gas hydrates recovered from the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope","interactions":[],"lastModifiedDate":"2020-12-18T17:01:48.091597","indexId":"70036871","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"The characteristics of gas hydrates recovered from the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope","docAbstract":"<p><span>Systematic analyses have been carried out on two gas hydrate-bearing sediment core samples, HYPV4, which was preserved by CH</span><sub>4</sub><span>&nbsp;gas pressurization, and HYLN7, which was preserved in liquid-nitrogen, recovered from the BPXA-DOE-USGS Mount Elbert Stratigraphic Test Well. Gas hydrate in the studied core samples was found by observation to have developed in sediment pores, and the distribution of hydrate saturation in the cores imply that gas hydrate had experienced stepwise dissociation before it was stabilized by either liquid nitrogen or pressurizing gas. The gas hydrates were determined to be structure Type I hydrate with hydration numbers of approximately 6.1 by instrumentation methods such as powder X-ray diffraction, Raman spectroscopy and solid state&nbsp;</span><sup>13</sup><span>C NMR. The hydrate gas composition was predominantly methane, and isotopic analysis showed that the methane was of thermogenic origin (mean&nbsp;</span><i>δ</i><sup>13</sup><span>C</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>−48.6‰ and&nbsp;</span><i>δ</i><sub>D</sub><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>−248‰ for sample HYLN7). Isotopic analysis of methane from sample HYPV4 revealed secondary hydrate formation from the pressurizing methane gas during storage.</span></p>","largerWorkTitle":"Marine and Petroleum Geology","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2010.01.002","issn":"02648172","usgsCitation":"Lu, H., Lorenson, T., Moudrakovski, I., Ripmeester, J., Collett, T.S., Hunter, R., and Ratcliffe, C., 2011, The characteristics of gas hydrates recovered from the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Marine and Petroleum Geology, v. 28, no. 2, p. 411-418, https://doi.org/10.1016/j.marpetgeo.2010.01.002.","productDescription":"8 p.","startPage":"411","endPage":"418","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488971,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2010.01.002","text":"Publisher Index Page"},{"id":245832,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217860,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2010.01.002"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.65234374999997,\n              70.61261423801925\n            ],\n            [\n              -157.5,\n              68.46379955520322\n            ],\n            [\n              -145.8984375,\n              68.39918004344189\n            ],\n            [\n              -140.9765625,\n              69.71810669906763\n            ],\n            [\n              -142.3828125,\n              72.23551372557404\n            ],\n            [\n              -156.4453125,\n              72.76406472320436\n            ],\n            [\n              -163.30078125,\n              72.1279362810559\n            ],\n            [\n              -163.65234374999997,\n              70.61261423801925\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baa1ee4b08c986b322723","contributors":{"authors":[{"text":"Lu, H.","contributorId":49936,"corporation":false,"usgs":true,"family":"Lu","given":"H.","email":"","affiliations":[],"preferred":false,"id":458214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":458211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moudrakovski, I.L.","contributorId":99406,"corporation":false,"usgs":true,"family":"Moudrakovski","given":"I.L.","email":"","affiliations":[],"preferred":false,"id":458217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ripmeester, J.A.","contributorId":85017,"corporation":false,"usgs":true,"family":"Ripmeester","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":458215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":458216,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, R.B.","contributorId":29538,"corporation":false,"usgs":true,"family":"Hunter","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":458212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ratcliffe, C.I.","contributorId":33559,"corporation":false,"usgs":true,"family":"Ratcliffe","given":"C.I.","email":"","affiliations":[],"preferred":false,"id":458213,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70036865,"text":"70036865 - 2011 - Documenting channel features associated with gas hydrates in the Krishna-Godavari Basin, offshore India","interactions":[],"lastModifiedDate":"2020-12-18T18:04:37.819215","indexId":"70036865","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Documenting channel features associated with gas hydrates in the Krishna-Godavari Basin, offshore India","docAbstract":"<p><span>During the India National Gas Hydrate Program (NGHP) Expedition 01 in 2006 significant sand and gas hydrate were recovered at Site NGHP-01-15 within the Krishna–Godavari Basin, East Coast off India. At the drill site NGHP-01-15, a 5–8</span><span>&nbsp;</span><span>m thick interval was found that is characterized by higher sand content than anywhere else at the site and within the KG Basin. Gas hydrate concentrations were determined to be 20–40% of the pore volume using wire-line electrical resistivity data as well as core-derived pore-fluid freshening trends. The gas hydrate-bearing interval was linked to a prominent seismic reflection observed in the 3D seismic data. This reflection event, mapped for about 1</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>&nbsp;south of the drill site, is bound by a fault at its northern limit that may act as migration conduit for free gas to enter the gas hydrate stability zone (GHSZ) and subsequently charge the sand-rich layer. On 3D and additional regional 2D seismic data a prominent channel system was imaged mainly by using the seismic instantaneous amplitude attribute. The channel can be clearly identified by changes in the seismic character of the channel fill (sand-rich) and pronounced levees (less sand content than in the fill, but higher than in surrounding mud-dominated sediments). The entire channel sequence (channel fill and levees) has been subsequently covered and back-filled with a more mud-prone sediment sequence. Where the levees intersect the base of the GHSZ, their reflection strengths are significantly increased to 5- to 6-times the surrounding reflection amplitudes. Using the 3D seismic data these high-amplitude reflection edges where linked to the gas hydrate-bearing layer at Site NGHP-01-15. Further south along the channel the same reflection elements representing the levees do not show similarly large reflection amplitudes. However, the channel system is still characterized by several high-amplitude reflection events (a few hundred meters wide and up to ~</span><span>&nbsp;</span><span>1</span><span>&nbsp;</span><span>km in extent) interpreted as gas hydrate-bearing sand intervals along the length of the channel.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2010.10.008","issn":"00253227","usgsCitation":"Riedel, M., Collett, T.S., and Shankar, U., 2011, Documenting channel features associated with gas hydrates in the Krishna-Godavari Basin, offshore India: Marine Geology, v. 279, no. 1-4, p. 1-11, https://doi.org/10.1016/j.margeo.2010.10.008.","productDescription":"11 p.","startPage":"1","endPage":"11","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":245739,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217773,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2010.10.008"}],"country":"India","otherGeospatial":"Krishna–Godavari Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              80.9912109375,\n              15.114552871944115\n            ],\n            [\n              81.82617187499999,\n              13.66733825965496\n            ],\n            [\n              84.990234375,\n              15.580710739162123\n            ],\n            [\n              83.671875,\n              16.804541076383455\n            ],\n            [\n              80.9912109375,\n              15.114552871944115\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"279","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0387e4b0c8380cd50506","contributors":{"authors":[{"text":"Riedel, M.","contributorId":65268,"corporation":false,"usgs":true,"family":"Riedel","given":"M.","email":"","affiliations":[],"preferred":false,"id":458191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":458193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shankar, Ude","contributorId":80033,"corporation":false,"usgs":false,"family":"Shankar","given":"Ude","email":"","affiliations":[],"preferred":false,"id":458192,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190460,"text":"70190460 - 2011 - Introduction: Tectonics, volcanism, and stratigraphy within the evolving transform margin north of San Francisco Bay, California","interactions":[],"lastModifiedDate":"2017-09-01T10:52:29","indexId":"70190460","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Introduction: Tectonics, volcanism, and stratigraphy within the evolving transform margin north of San Francisco Bay, California","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"The Geological Society of America","doi":"10.1130/GES00541.1","usgsCitation":"Langenheim, V., and Sweetkind, D.S., 2011, Introduction: Tectonics, volcanism, and stratigraphy within the evolving transform margin north of San Francisco Bay, California: Geosphere, v. 7, no. 3, p. 597-598, https://doi.org/10.1130/GES00541.1.","productDescription":"2 p.","startPage":"597","endPage":"598","ipdsId":"IP-015372","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":475431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00541.1","text":"Publisher Index Page"},{"id":345417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","volume":"7","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59aa71dde4b0e9bde130d010","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":709270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796 dsweetkind@usgs.gov","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":139913,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald","email":"dsweetkind@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":709269,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046457,"text":"70046457 - 2011 - Applications of selective ion exchange for perchlorate removal, recovery, and environmental forensics","interactions":[],"lastModifiedDate":"2017-06-05T13:07:10","indexId":"70046457","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Applications of selective ion exchange for perchlorate removal, recovery, and environmental forensics","docAbstract":"Perchlorate (ClO4-) is a widespread contaminant found in drinking water and groundwater that has caused far-reaching ramifications ranging from public health issues to potential liabilities arising from environmental clean-up requirements.\nThe chapter summarizes recent developments in highly selective and regenerable ion exchange technologies for removing ClO4- from contaminated water. The technologies rely on a unique, highly specific resin to trap ClO4-. The resin is then\nregenerated and ClO4- is either destroyed or recovered—leading to significant cost reduction and waste minimization. The ability to recover trace quantities of pure ClO4- from contaminated media also allows unambiguous identification of the\nsources of its contamination through stable isotope ratio analysis of chlorine and oxygen atoms. We provide detailed descriptions of the techniques for extracting, purifying, and crystallizing trade amounts of ClO4- and characterizing its isotopic\ncomposition for fingerprinting in the environment.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ion exchange and solvent extraction: A series of advances, Volume 20","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","isbn":"9781439855393","usgsCitation":"Gu, B., Bohlke, J., Sturchio, N.C., Hatzinger, P., Jackson, A., Beloso, A.D., Heraty, L.J., Bian, Y., Jiang, X., and Brown, G.M., 2011, Applications of selective ion exchange for perchlorate removal, recovery, and environmental forensics, chap. <i>of</i> Ion exchange and solvent extraction: A series of advances, Volume 20, p. 117-144.","productDescription":"28 p.","startPage":"117","endPage":"144","ipdsId":"IP-017595","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":342098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342097,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Ion-Exchange-and-Solvent-Extraction-A-Series-of-Advances-Volume-20/SenGupta/p/book/9781439855393"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59366dade4b0f6c2d0d7d64c","contributors":{"editors":[{"text":"SenGupta, Arup K.","contributorId":192624,"corporation":false,"usgs":false,"family":"SenGupta","given":"Arup","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":697102,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Gu, Baohua","contributorId":15504,"corporation":false,"usgs":true,"family":"Gu","given":"Baohua","affiliations":[],"preferred":false,"id":697092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":697093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":697094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatzinger, Paul B.","contributorId":43204,"corporation":false,"usgs":true,"family":"Hatzinger","given":"Paul B.","affiliations":[],"preferred":false,"id":697095,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Andrew","contributorId":176588,"corporation":false,"usgs":false,"family":"Jackson","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":697096,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beloso, Abelardo D. Jr.","contributorId":15016,"corporation":false,"usgs":true,"family":"Beloso","given":"Abelardo","suffix":"Jr.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":697097,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heraty, Linnea J.","contributorId":192520,"corporation":false,"usgs":false,"family":"Heraty","given":"Linnea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":697098,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bian, Yongrong","contributorId":192621,"corporation":false,"usgs":false,"family":"Bian","given":"Yongrong","email":"","affiliations":[],"preferred":false,"id":697099,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jiang, Xin","contributorId":192622,"corporation":false,"usgs":false,"family":"Jiang","given":"Xin","email":"","affiliations":[],"preferred":false,"id":697100,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brown, Gilbert M.","contributorId":192623,"corporation":false,"usgs":false,"family":"Brown","given":"Gilbert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":697101,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70036814,"text":"70036814 - 2011 - Seasonal fecundity and source-sink status of shrub-nesting birds in a southwestern riparian corridor","interactions":[],"lastModifiedDate":"2020-12-18T19:26:08.610667","indexId":"70036814","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal fecundity and source-sink status of shrub-nesting birds in a southwestern riparian corridor","docAbstract":"<p><span>Saltcedar (</span><span class=\"genus-species\">Tamarix</span><span>&nbsp;spp.) has increasingly dominated riparian floodplains relative to native forests in the southwestern U.S., but little is known about its impacts on avian productivity or population status. We monitored 86 Arizona Bell's Vireo (</span><span class=\"genus-species\">Vireo bellii arizonae</span><span>), 147 Abert's Towhee (</span><span class=\"genus-species\">Melozone aberti</span><span>), and 154 Yellow-breasted Chat (</span><span class=\"genus-species\">Icteria virens</span><span>) nests to assess reproductive parameters in cottonwood-willow (</span><span class=\"genus-species\">Populus-Salix</span><span>), saltcedar, and mesquite (</span><span class=\"genus-species\">Prosopis</span><span>&nbsp;spp.) stands along the San Pedro River, Arizona during 1999–2001. We also assessed source-sink status for each species in each vegetation type using field data combined with data from the literature. There were no significant differences in reproductive parameters between vegetation types for Abert's Towhee or Yellow-breasted Chat, although seasonal fecundity was quite low across vegetation types for the latter (0.75 ± 0.14; mean ± SE). Bell's Vireo had extremely low seasonal fecundity in saltcedar (0.10 ± 0.09) and significantly fewer fledglings per nest in saltcedar (0.09 ± 0.09) compared with cottonwood (1.07 ± 0.32). Point estimates of&nbsp;</span><span class=\"genus-species\">λ</span><span>&nbsp;were substantially &lt;1 for all three focal species in all habitats indicating the entire study area may be performing as a sink; 90% CI of&nbsp;</span><span class=\"inline-formula\"><a rel=\"noopener\" href=\"https://bioone.org/ContentImages/Journals/wils/123/1/10-061.1/graphic/i1559-4491-123-1-48-e01.gif\" target=\"_blank\" data-mce-href=\"https://bioone.org/ContentImages/Journals/wils/123/1/10-061.1/graphic/i1559-4491-123-1-48-e01.gif\"><img src=\"https://bioone.org/ContentImages/Journals/wils/123/1/10-061.1/graphic/WebImages/i1559-4491-123-1-48-e01.gif\" alt=\"i1559-4491-123-1-48-e01.gif\" data-mce-src=\"https://bioone.org/ContentImages/Journals/wils/123/1/10-061.1/graphic/WebImages/i1559-4491-123-1-48-e01.gif\"></a></span><span>&nbsp;included 1 only for Abert's Towhee across vegetation types and Bell's Vireo in cottonwood vegetation. These results are surprising given the San Pedro is considered to be one of the best remaining occurrences of lowland native riparian vegetation in the southwestern United States.</span></p>","language":"English","publisher":"BioOne","doi":"10.1676/10-061.1","issn":"15594491","usgsCitation":"Brand, L.A., and Noon, B., 2011, Seasonal fecundity and source-sink status of shrub-nesting birds in a southwestern riparian corridor: Wilson Journal of Ornithology, v. 123, no. 1, p. 48-58, https://doi.org/10.1676/10-061.1.","productDescription":"11 p.","startPage":"48","endPage":"58","costCenters":[],"links":[{"id":245857,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217884,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/10-061.1"}],"country":"United States","state":"Arizona","otherGeospatial":"San Pedro River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.2093505859375,\n              31.339562861785012\n            ],\n            [\n              -110.0390625,\n              31.344254455668054\n            ],\n            [\n              -110.08850097656249,\n              31.732839253650067\n            ],\n            [\n              -110.19287109375,\n              31.956823015897207\n            ],\n            [\n              -110.27526855468749,\n              32.08722870829662\n            ],\n            [\n              -110.3466796875,\n              32.01273389791075\n            ],\n            [\n              -110.30136108398438,\n              31.85889704445453\n            ],\n            [\n              -110.2423095703125,\n              31.66740831708089\n            ],\n            [\n              -110.19287109375,\n              31.555133721172034\n            ],\n            [\n              -110.20523071289061,\n              31.436865467417928\n            ],\n            [\n              -110.2093505859375,\n              31.339562861785012\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b88a0e4b08c986b316a88","contributors":{"authors":[{"text":"Brand, L. Arriana arriana_brand@usgs.gov","contributorId":4406,"corporation":false,"usgs":true,"family":"Brand","given":"L.","email":"arriana_brand@usgs.gov","middleInitial":"Arriana","affiliations":[],"preferred":true,"id":457975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noon, B.R.","contributorId":24311,"corporation":false,"usgs":true,"family":"Noon","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":457974,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193196,"text":"70193196 - 2011 - Geology of the Montreal River Monocline (Field trip guidebook)","interactions":[],"lastModifiedDate":"2017-11-20T15:03:24","indexId":"70193196","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geology of the Montreal River Monocline (Field trip guidebook)","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings and Abstracts - Institute on Lake Superior Geology. Meeting 57","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Institute on Lake Superior Geology","usgsCitation":"Cannon, W.F., 2011, Geology of the Montreal River Monocline (Field trip guidebook), <i>in</i> Proceedings and Abstracts - Institute on Lake Superior Geology. Meeting 57.","ipdsId":"IP-027744","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6107fde4b06e28e9c25636","contributors":{"authors":[{"text":"Cannon, William F. 0000-0002-2699-8118 wcannon@usgs.gov","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":1883,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"wcannon@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718151,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042349,"text":"70042349 - 2011 - QuickBird satellite imagery as a tool for restoration and rehabilitation of Lake Sevan, Armenia","interactions":[],"lastModifiedDate":"2016-02-15T12:07:27","indexId":"70042349","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"QuickBird satellite imagery as a tool for restoration and rehabilitation of Lake Sevan, Armenia","docAbstract":"<div class=\"page\" title=\"Page 1\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p><span>Lake Sevan in Armenia is the largest freshwater lake in the Transcaucasus region and is one of the largest high-altitude freshwater lakes in Eurasia (Babayan et al., </span><span>2006</span><span>). Armenia is a small (29,743 km</span><sup><span>2</span></sup><span>), land- locked country that is comparatively poor in natural resources and nearly surrounded by borders that are blockaded by its neighbors (Babayan et al., </span><span>2006</span><span>; Rhoades, </span><span>2008 </span><span>and references therein; CIA, </span><span>2010</span><span>). Despite these obstacles, ecological research and environmental restoration efforts continue. For the most part, ecological research in Lake Sevan during the twentieth century was restricted to Soviet-era journals, or was otherwise unavailable to western scientists.&nbsp;</span></p>\n</div>\n</div>\n</div>","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10750-010-0513-3","usgsCitation":"Stapanian, M.A., 2011, QuickBird satellite imagery as a tool for restoration and rehabilitation of Lake Sevan, Armenia: Hydrobiologia, v. 661, no. 1, p. 81-83, https://doi.org/10.1007/s10750-010-0513-3.","productDescription":"3","startPage":"81","endPage":"83","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024646","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":269710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269707,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-010-0513-3"}],"country":"Armenia","otherGeospatial":"Lake Sevan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 44.9253,40.1544 ], [ 44.9253,40.6317 ], [ 45.6421,40.6317 ], [ 45.6421,40.1544 ], [ 44.9253,40.1544 ] ] ] } } ] }","volume":"661","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-10-16","publicationStatus":"PW","scienceBaseUri":"514988f4e4b0971933f636a9","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471358,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193760,"text":"70193760 - 2011 - Inversion of multi-frequency electromagnetic induction data for 3D characterization of hydraulic conductivity","interactions":[],"lastModifiedDate":"2020-01-28T15:25:52","indexId":"70193760","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Inversion of multi-frequency electromagnetic induction data for 3D characterization of hydraulic conductivity","docAbstract":"<p>Electromagnetic induction (EMI) instruments provide rapid, noninvasive, and spatially dense data for characterization of soil and groundwater properties. Data from multi-frequency EMI tools can be inverted to provide quantitative electrical conductivity estimates as a function of depth. In this study, multi-frequency EMI data collected across an abandoned uranium mill site near Naturita, Colorado, USA, are inverted to produce vertical distribution of electrical conductivity (<i>EC</i>) across the site. The relation between measured apparent electrical conductivity (<i>EC</i><sub><i>a</i></sub>) and hydraulic conductivity (<i>K</i>) is weak (correlation coefficient of 0.20), whereas the correlation between the depth dependent <i>EC</i> obtained from the inversions, and <i>K</i> is sufficiently strong to be used for hydrologic estimation (correlation coefficient of −&nbsp;0.62). Depth-specific <i>EC</i> values were correlated with co-located <i>K</i> measurements to develop a site-specific ln(<i>EC</i>)–ln(<i>K</i>) relation. This petrophysical relation was applied to produce a spatially detailed map of <i>K</i> across the study area. A synthetic example based on <i>EC</i><sub><i>a</i></sub> values at the site was used to assess model resolution and correlation loss given variations in depth and/or measurement error. Results from synthetic modeling indicate that optimum correlation with <i>K</i> occurs at ~&nbsp;0.5&nbsp;m followed by a gradual correlation loss of 90% at 2.3&nbsp;m. These results are consistent with an analysis of depth of investigation (DOI) given the range of frequencies, transmitter–receiver separation, and measurement errors for the field data. DOIs were estimated at 2.0&nbsp;±&nbsp;0.5&nbsp;m depending on the soil conductivities. A 4-layer model, with varying thicknesses, was used to invert the <i>EC</i><sub><i>a</i></sub> to maximize available information within the aquifer region for improved correlations with <i>K</i>. Results show improved correlation between <i>K</i> and the corresponding inverted <i>EC</i> at similar depths, underscoring the importance of inversion in using multi-frequency EMI data for hydrologic estimation.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jappgeo.2011.02.004","usgsCitation":"Brosten, T.R., Day-Lewis, F.D., Schultz, G.M., Curtis, G.P., and Lane, J.W., 2011, Inversion of multi-frequency electromagnetic induction data for 3D characterization of hydraulic conductivity: Journal of Applied Geophysics, v. 73, no. 4, p. 323-335, https://doi.org/10.1016/j.jappgeo.2011.02.004.","productDescription":"23 p.","startPage":"323","endPage":"335","ipdsId":"IP-018972","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":348736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6107fbe4b06e28e9c25628","contributors":{"authors":[{"text":"Brosten, Troy R. tbrosten@usgs.gov","contributorId":138512,"corporation":false,"usgs":true,"family":"Brosten","given":"Troy","email":"tbrosten@usgs.gov","middleInitial":"R.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":720283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":720280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Gregory M.","contributorId":9582,"corporation":false,"usgs":false,"family":"Schultz","given":"Gregory","email":"","middleInitial":"M.","affiliations":[{"id":35646,"text":"Sky Research, Inc., Hanover, NH","active":true,"usgs":false}],"preferred":false,"id":720281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curtis, Gary P. 0000-0003-3975-8882 gpcurtis@usgs.gov","orcid":"https://orcid.org/0000-0003-3975-8882","contributorId":2346,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","middleInitial":"P.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":720282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":720284,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70192758,"text":"70192758 - 2011 - A review of Alabama lignite deposits","interactions":[],"lastModifiedDate":"2020-10-22T16:40:49.370935","indexId":"70192758","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5382,"text":"AAPG Studies in Geology","active":false,"publicationSubtype":{"id":24}},"chapter":"16","title":"A review of Alabama lignite deposits","docAbstract":"<p class=\"indent\">This review of Alabama lignite deposits is a part of the U.S. Geological Survey (USGS) National Coal Resource Assessment (NCRA) of the Gulf Coast region (see<span>&nbsp;</span>Ruppert et al., 2002;<span>&nbsp;</span>Dennen, 2009; and other chapters of this publication). Because lignite is not currently mined in Alabama, a detailed assessment of the state was not made, and only a review is presented in this chapter.</p><p class=\"indent\">Lignite beds are found in several stratigraphic horizons within the Paleocene Midway and Paleocene to Eocene Wilcox Groups in the Gulf Coastal Plain of Alabama (Figure 1). There are three main near-surface (less than 250 ft of overburden) lignite deposits in Alabama. In the Midway Group, the Oak Hill lignite deposit occurs in the upper part of the Oak Hill Member of the Naheola Formation (Figure 2). In the Wilcox Group, the Gravel Creek and the Tuscahoma lignite deposits occur in the Coal Bluff Marl Member of the Nanafalia Formation and the Tuscahoma Sand Member of the Tuscahoma Sand Formation, respectively (Figure 2). The Gravel Creek lignite occurs in central and eastern Alabama, and the Oak Hill and Tuscahoma Sand lignites occur in southwest Alabama. Eighty-five percent of this lignite may be recoverable by surface mining methods (Tolson, 1985). The total amount of lignite reported as a reserve by the state is over 4.7 billion short tons (Self et al., 1978).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Aubourg, C.E., 2011, A review of Alabama lignite deposits, chap. 16 <i>of</i> Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 307-312.","productDescription":"6 p.","startPage":"307","endPage":"312","ipdsId":"IP-020066","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350928,"rank":1,"type":{"id":15,"text":"Index 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 \"}}]}","volume":"62","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743588e4b0a9a2e9e25cc4","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726463,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Karlsen, Alexander K.","contributorId":44089,"corporation":false,"usgs":false,"family":"Karlsen","given":"Alexander K.","affiliations":[],"preferred":false,"id":726464,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Merrill, Matthew D. 0000-0003-3766-847X mmerrill@usgs.gov","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":2584,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","email":"mmerrill@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726465,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":726466,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Aubourg, Claire E.","contributorId":87192,"corporation":false,"usgs":true,"family":"Aubourg","given":"Claire","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716843,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189939,"text":"70189939 - 2011 - Mechanics of flow and sediment transport in delta distributary channels","interactions":[],"lastModifiedDate":"2018-04-04T11:34:11","indexId":"70189939","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mechanics of flow and sediment transport in delta distributary channels","docAbstract":"Predicting the planform and dimensions of a channel downstream from a confluence of two smaller channels with known sediment and water supplies is a fundamental, well-studied problem in geomorphology and engineering. An analogous but less well understood problem is found\nwell downstream of such confluences, where large river channels split into two or more distributary channels on a river delta. In this case, both the flow and sediment supplies in the downstream distributaries are set by the dynamics near the bifurcation of the upstream channel and by downstream\nboundary conditions. Over time, the pattern of erosion and deposition in the distributary channels gives rise to variations in the amount of water and sediment routed into them. In the simplest case, this results in channel switching on deltas, but in a more general sense these dynamics produce a rich suite of interesting morphologic change contributing both to the evolution of the channel distributary network and the overall evolution of the delta. As part of a study to develop a better understanding of these processes, we conducted a field study measuring the detailed morphology of the Hong-Luoc junction on the Red River downstream of Hanoi, Vietnam. This junction was selected for such a study because it has a 1,000-year history, modern observations suggest that it is currently switching (changing the proportion of sediment and streamflow provided to each of the distributary channels), and hydrologic configuration of the junction allows for the study of two bifurcations and one confluence in a single junction complex. In this paper, our morphologic observations are used in computational flow models to show how flow and sediment transport changes as a function of total discharge upstream of the junction. This is a key component of understanding how the junction attains stability over a range of flows or how imbalances in the distribution of flow and sediment transport lead to destabilization of the channel bifurcation.","conferenceTitle":"2011 EIT International Conference on Water Resources Engineering","language":"English","publisher":"Proceeding of the 2011 EIT International Conference on Water Resources Engineering","usgsCitation":"Nelson, J.M., Kinzel, P.J., Duc Toan, D., Shimizu, Y., and McDonald, R.R., 2011, Mechanics of flow and sediment transport in delta distributary channels, 2011 EIT International Conference on Water Resources Engineering, p. 8-14.","productDescription":"7 p.","startPage":"8","endPage":"14","ipdsId":"IP-030356","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":353146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afef572e4b0da30c1bfc90e","contributors":{"authors":[{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":706823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duc Toan, Duong","contributorId":195348,"corporation":false,"usgs":false,"family":"Duc Toan","given":"Duong","affiliations":[],"preferred":false,"id":706825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shimizu, Yasuyuki","contributorId":28875,"corporation":false,"usgs":false,"family":"Shimizu","given":"Yasuyuki","affiliations":[{"id":25249,"text":"Univ. of Hokkaido, Sapporo,Japan","active":true,"usgs":false}],"preferred":false,"id":706827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":732671,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192767,"text":"70192767 - 2011 - Coal resources for part of the Wilcox group (Paleocene through Eocene), central Texas","interactions":[],"lastModifiedDate":"2020-10-22T16:46:06.73634","indexId":"70192767","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5382,"text":"AAPG Studies in Geology","active":false,"publicationSubtype":{"id":24}},"chapter":"10","title":"Coal resources for part of the Wilcox group (Paleocene through Eocene), central Texas","docAbstract":"<p><span>The Wilcox Group of central Texas contains shallow (less than 500 ft) coal deposits that are mined for use in mine-mouth electric power generating plants. These coal deposits range in apparent rank from lignite to sub-bituminous (Pierce et al., 2011) and are similar in rank and composition to shallow coal deposits in the northeast and south Texas areas (Figure 1). The coal zones and associated strata in the central Texas assessment area generally dip to the southeast toward the Gulf of Mexico coastline and basin center. The central Texas resource assessment area includes parts of eight counties (Figure 2). The assessment area was selected to encompass current mining areas and areas with available subsurface stratigraphic data. The assessment area is roughly 160 miles long and 5 to 25 miles wide and generally follows the outcrop of the Paleocene to Eocene Wilcox Group in central Texas (Figures 1, 2). Approximately 1800 subsurface stratigraphic records from rotary and core drill holes were used to assess the resources of the central Texas assessment area. Of the 1800 drill holes, only 167 are public data points and are primarily located in the areas that have been permitted for surface mining (Figure 2; Appendix 1). The remaining 1632 drill holes, which are distributed throughout the assessment area, were provided to the U.S. Geological Survey (USGS) on a confidential basis by various coal companies for use in regional studies.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Warwick, P.D., Aubourg, C.E., Suitt, S.E., Podwysocki, S.M., and Schultz, A.C., 2011, Coal resources for part of the Wilcox group (Paleocene through Eocene), central Texas, chap. 10 <i>of</i> Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 192-259.","productDescription":"68 p.","startPage":"192","endPage":"259","ipdsId":"IP-020041","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350915,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/specpubs/discovery14/data/001/001001/192_aapg-sp0010192.htm"},{"id":350916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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