{"pageNumber":"152","pageRowStart":"3775","pageSize":"25","recordCount":10951,"records":[{"id":70046702,"text":"ds774 - 2013 - National assessment of geologic carbon dioxide storage resources: data","interactions":[],"lastModifiedDate":"2013-10-30T13:32:13","indexId":"ds774","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"774","title":"National assessment of geologic carbon dioxide storage resources: data","docAbstract":"In 2012, the U.S. Geological Survey (USGS) completed the national assessment of geologic carbon dioxide storage resources. Its data and results are reported in three publications: the assessment data publication (this report), the assessment results publication (U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013a, USGS Circular 1386), and the assessment summary publication (U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013b, USGS Fact Sheet 2013–3020). This data publication supports the results publication and contains (1) individual storage assessment unit (SAU) input data forms with all input parameters and details on the allocation of the SAU surface land area by State and general land-ownership category; (2) figures representing the distribution of all storage classes for each SAU; (3) a table containing most input data and assessment result values for each SAU; and (4) a pairwise correlation matrix specifying geological and methodological dependencies between SAUs that are needed for aggregation of results.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds774","usgsCitation":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013, National assessment of geologic carbon dioxide storage resources: data (Version 1: Originally posted June 2013; Version 1.1: September 2013): U.S. Geological Survey Data Series 774, Report: viii, 13 p.; 2 Appendices; 2 Tables, https://doi.org/10.3133/ds774.","productDescription":"Report: viii, 13 p.; 2 Appendices; 2 Tables","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":274233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds774.gif"},{"id":278266,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/774/pdf/DS774_508.pdf"},{"id":278267,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/774/pdf/Appendix_1.pdf"},{"id":278268,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/774/pdf/Appendix_2.pdf"},{"id":278269,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/774/tables/Table_1.xlsx"},{"id":278270,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/774/tables/Table_2.xlsx"},{"id":274230,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/774/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","edition":"Version 1: Originally posted June 2013; Version 1.1: September 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff56e4b052f2a453987f","contributors":{"authors":[{"text":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","contributorId":128059,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","id":535563,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046700,"text":"cir1386 - 2013 - National assessment of geologic carbon dioxide storage resources: results","interactions":[],"lastModifiedDate":"2017-08-29T16:18:28","indexId":"cir1386","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1386","title":"National assessment of geologic carbon dioxide storage resources: results","docAbstract":"In 2012, the U.S. Geological Survey (USGS) completed an assessment of the technically accessible storage resources (<i>TA<sub>SR</sub></i>) for carbon dioxide (CO<sub>2</sub>) in geologic formations underlying the onshore and State waters area of the United States. The formations assessed are at least 3,000 feet (914 meters) below the ground surface. The <i>TA<sub>SR</sub></i> is an estimate of the CO<sub>2</sub> storage resource that may be available for CO<sub>2</sub> injection and storage that is based on present-day geologic and hydrologic knowledge of the subsurface and current engineering practices. Individual storage assessment units (SAUs) for 36 basins were defined on the basis of geologic and hydrologic characteristics outlined in the assessment methodology of Brennan and others (2010, USGS Open-File Report 2010–1127) and the subsequent methodology modification and implementation documentation of Blondes, Brennan, and others (2013, USGS Open-File Report 2013–1055). The mean national <i>TA<sub>SR</sub></i> is approximately 3,000 metric gigatons (Gt). The estimate of the <i>TA<sub>SR</sub></i> includes buoyant trapping storage resources (<i>B<sub>SR</sub></i>), where CO<sub>2</sub> can be trapped in structural or stratigraphic closures, and residual trapping storage resources, where CO<sub>2</sub> can be held in place by capillary pore pressures in areas outside of buoyant traps. The mean total national <i>B<sub>SR</sub></i> is 44 Gt. The residual storage resource consists of three injectivity classes based on reservoir permeability: residual trapping class 1 storage resource (<i>R1<sub>SR</sub></i>) represents storage in rocks with permeability greater than 1 darcy (D); residual trapping class 2 storage resource (<i>R2<sub>SR</sub></i>) represents storage in rocks with moderate permeability, defined as permeability between 1 millidarcy (mD) and 1 D; and residual trapping class 3 storage resource (<i>R3<sub>SR</sub></i>) represents storage in rocks with low permeability, defined as permeability less than 1 mD. The mean national storage resources for rocks in residual trapping classes 1, 2, and 3 are 140 Gt, 2,700 Gt, and 130 Gt, respectively. The known recovery replacement storage resource (<i>KRR<sub>SR</sub></i>) is a conservative estimate that represents only the amount of CO<sub>2</sub> at subsurface conditions that could replace the volume of known hydrocarbon production. The mean national <i>KRR<sub>SR</sub></i>, determined from production volumes rather than the geologic model of buoyant and residual traps that make up <i>TA<sub>SR</sub></i>, is 13 Gt. The estimated storage resources are dominated by residual trapping class 2, which accounts for 89 percent of the total resources. The Coastal Plains Region of the United States contains the largest storage resource of any region. Within the Coastal Plains Region, the resources from the U.S. Gulf Coast area represent 59 percent of the national CO<sub>2</sub> storage capacity.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1386","usgsCitation":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013, National assessment of geologic carbon dioxide storage resources: results (Version 1: Originally posted June 2013; Version 1.1: September 2013): U.S. Geological Survey Circular 1386, ix, 41 p., https://doi.org/10.3133/cir1386.","productDescription":"ix, 41 p.","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science 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,{"id":70046701,"text":"fs20133020 - 2013 - National assessment of geologic carbon dioxide storage resources: summary","interactions":[],"lastModifiedDate":"2013-10-30T13:31:42","indexId":"fs20133020","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3020","title":"National assessment of geologic carbon dioxide storage resources: summary","docAbstract":"The U.S. Geological Survey (USGS) recently completed an evaluation of the technically accessible storage resource (<i>TA<sub>SR</sub></i>) for carbon dioxide (CO<sub>2</sub>) for 36 sedimentary basins in the onshore areas and State waters of the United States. The <i>TA<sub>SR</sub></i> is an estimate of the geologic storage resource that may be available for CO<sub>2</sub> injection and storage and is based on current geologic and hydrologic knowledge of the subsurface and current engineering practices. By using a geology-based probabilistic assessment methodology, the USGS assessment team members obtained a mean estimate of approximately 3,000 metric gigatons (Gt) of subsurface CO<sub>2</sub> storage capacity that is technically accessible below onshore areas and State waters; this amount is more than 500 times the 2011 annual U.S. energy-related CO<sub>2</sub> emissions of 5.5 Gt (U.S. Energy Information Administration, 2012, http://www.eia.gov/environment/emissions/carbon/).\n<br/>\nIn 2007, the Energy Independence and Security Act (Public Law 110–140) directed the U.S. Geological Survey to conduct a national assessment of geologic storage resources for CO<sub>2</sub> in consultation with the U.S. Environmental Protection Agency, the U.S. Department of Energy, and State geological surveys. The USGS developed a methodology to estimate storage resource potential in geologic formations in the United States (Burruss and others, 2009, USGS Open-File Report (OFR) 2009–1035; Brennan and others, 2010, USGS OFR 2010–1127; Blondes, Brennan, and others, 2013, USGS OFR 2013–1055). In 2012, the USGS completed the assessment, and the results are summarized in this Fact Sheet and are provided in more detail in companion reports (U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013a,b; see related reports at right).\n<br/>\nThe goal of this project was to conduct an initial assessment of storage capacity on a regional basis, and results are not intended for use in the evaluation of specific sites for potential CO<sub>2</sub> storage. The national assessment was a geology-based examination of all sedimentary basins in the onshore and State waters area of the United States that contain storage assessment units (SAUs) that could be defined according to geologic and hydrologic characteristics. Although geologic storage of CO<sub>2</sub> may be possible in some areas not assessed by the USGS, the SAUs identified in this assessment represent those areas within sedimentary basins that met the assessment criteria. A geologic description of each SAU was prepared; descriptions for SAUs in several basins are in Warwick and Corum (2012, USGS OFR 2012–1024).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133020","usgsCitation":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013, National assessment of geologic carbon dioxide storage resources: summary (Version 1: Originally posted June 2013; Version 1.1: September 2013): U.S. Geological Survey Fact Sheet 2013-3020, 6 p., https://doi.org/10.3133/fs20133020.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":274232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133020.gif"},{"id":278344,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3020/pdf/fs2013-3020_508.pdf"},{"id":274231,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3020/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","edition":"Version 1: Originally posted June 2013; Version 1.1: September 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff57e4b052f2a4539887","contributors":{"authors":[{"text":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","contributorId":128059,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","id":535562,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046371,"text":"70046371 - 2013 - Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging","interactions":[],"lastModifiedDate":"2018-06-16T17:48:39","indexId":"70046371","displayToPublicDate":"2013-07-31T21:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging","docAbstract":"During Arctic summers, sea ice provides resting habitat for Pacific walruses as it drifts over foraging areas in the eastern Chukchi Sea. Climate-driven reductions in sea ice have recently created ice-free conditions in the Chukchi Sea by late summer causing walruses to rest at coastal haulouts along the Chukotka and Alaska coasts, which provides an opportunity to study walruses at relatively accessible locations. Walrus age can be determined from the ratio of tusk length to snout dimensions. We evaluated use of images obtained from a gyro-stabilized video system mounted on a helicopter flying at high altitudes (to avoid disturbance) to classify the sex and age of walruses hauled out on Alaska beaches in 2010–2011. We were able to classify 95% of randomly selected individuals to either an 8- or 3-category age class, and we found measurement-based age classifications were more repeatable than visual classifications when using images presenting the correct head profile. Herd density at coastal haulouts averaged 0.88 walruses/m<sup>2</sup> (std. err. = 0.02), herd size ranged from 8,300 to 19,400 (CV 0.03–0.06) and we documented ~30,000 animals along ~1 km of beach in 2011. Within the herds, dependent walruses (0–2 yr-olds) tended to be located closer to water, and this tendency became more pronounced as the herd spent more time on the beach. Therefore, unbiased estimation of herd age-ratios will require a sampling design that allows for spatial and temporal structuring. In addition, randomly sampling walruses available at the edge of the herd for other purposes (e.g., tagging, biopsying) will not sample walruses with an age structure representative of the herd. Sea ice losses are projected to continue, and population age structure data collected with aerial videography at coastal haulouts may provide demographic information vital to ongoing efforts to understand effects of climate change on this species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0069806","usgsCitation":"Monson, D., Udevitz, M.S., and Jay, C.V., 2013, Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging: PLoS ONE, v. 8, no. 7, https://doi.org/10.1371/journal.pone.0069806.","ipdsId":"IP-045689","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0069806","text":"Publisher Index Page"},{"id":277155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277133,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0069806"}],"country":"United States","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"52206d61e4b0645fc25e8c2d","contributors":{"authors":[{"text":"Monson, Daniel H. 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":140480,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel H.","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":479564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":479562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":479563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047326,"text":"fs20133055 - 2013 - Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries","interactions":[],"lastModifiedDate":"2024-03-04T18:00:14.444595","indexId":"fs20133055","displayToPublicDate":"2013-07-31T15:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3055","title":"Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries","docAbstract":"Yellow perch live in creeks, rivers, ponds, lakes, and estuaries across the central and eastern United States and Canada. In Chesapeake Bay, they tolerate salinities up to one-third that of seawater. The adults reside in the brackish waters of the bay’s tributaries and migrate upstream to spawn. Yellow perch are eagerly sought by recreational fishermen for their excellent taste and, because their late winter spawning runs are the earliest of the year, they are regarded as a harbinger of spring. Yellow perch also support a small but valuable, tightly regulated commercial fishery in the part of Chesapeake Bay that lies in Maryland.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133055","usgsCitation":"Blazer, V., Pinkney, A., and Uphoff, J.H., 2013, Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries: U.S. Geological Survey Fact Sheet 2013-3055, 2 p., https://doi.org/10.3133/fs20133055.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":275652,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133055.jpg"},{"id":275651,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3055/pdf/fs2013-3055.pdf"},{"id":275650,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3055/"}],"country":"United States","state":"Maryl","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.6224,37.3195 ], [ -77.6224,39.7196 ], [ -74.7564,39.7196 ], [ -74.7564,37.3195 ], [ -77.6224,37.3195 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c80e4b076c3a8d82627","contributors":{"authors":[{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":481713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinkney, A.E.","contributorId":87501,"corporation":false,"usgs":true,"family":"Pinkney","given":"A.E.","affiliations":[],"preferred":false,"id":481715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uphoff, James H.","contributorId":74656,"corporation":false,"usgs":true,"family":"Uphoff","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":481714,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047311,"text":"sir20135072 - 2013 - Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008","interactions":[],"lastModifiedDate":"2013-07-31T09:00:08","indexId":"sir20135072","displayToPublicDate":"2013-07-31T08:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5072","title":"Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008","docAbstract":"Groundwater quality and aquifer lithologies in the Piedmont and Blue Ridge Physiographic Provinces in the eastern United States vary widely as a result of complex geologic history. Bedrock composition (mineralogy) and geochemical conditions in the aquifer directly affect the occurrence (presence in rock and groundwater) and distribution (concentration and mobility) of potential naturally occurring contaminants, such as arsenic and radionuclides, in drinking water. To evaluate potential relations between aquifer lithology and the spatial distribution of naturally occurring contaminants, the crystalline-rock aquifers of the Piedmont and Blue Ridge Physiographic Provinces and the siliciclastic-rock aquifers of the Early Mesozoic basin of the Piedmont Physiographic Province were divided into 14 lithologic groups, each having from 1 to 16 lithochemical subgroups, based on primary rock type, mineralogy, and weathering potential. Groundwater-quality data collected by the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program from 1994 through 2008 from 346 wells and springs in various hydrogeologic and land-use settings from Georgia through New Jersey were compiled and analyzed for this study. Analyses for most constituents were for filtered samples, and, thus, the compiled data consist largely of dissolved concentrations. Concentrations were compared to criteria for protection of human health, such as U.S. Environmental Protection Agency (USEPA) drinking water maximum contaminant levels and secondary maximum contaminant levels or health-based screening levels developed by the USGS NAWQA Program in cooperation with the USEPA, the New Jersey Department of Environmental Protection, and Oregon Health & Science University. Correlations among constituent concentrations, pH, and oxidation-reduction (redox) conditions were used to infer geochemical controls on constituent mobility within the aquifers.\n\nOf the 23 trace-element constituents evaluated, arsenic, manganese, and zinc were detected in one or more water samples at concentrations greater than established human health-based criteria. Arsenic concentrations typically were less than 1 microgram per liter (µg/L) in most groundwater samples; however, concentrations of arsenic greater than 1 µg/L frequently were detected in groundwater from clastic lacustrine sedimentary rocks of the Early Mesozoic basin aquifers and from metamorphosed clastic sedimentary rocks of the Piedmont and Blue Ridge crystalline rock aquifers. Groundwater from these rock units had elevated pH compared to other rock units evaluated in this study. Of the nine samples for which arsenic concentration was greater than 10 µg/L, six were classified as oxic and three as anoxic, and seven had pH of 7.2 or greater. Manganese concentrations typically were less than 10 µg/L in most samples; however, 8.3 percent of samples from the Piedmont and Blue Ridge crystalline-rock aquifers and 3.0 percent of samples from the Early Mesozoic basin siliciclastic rock aquifers had manganese concentrations greater than the 300-µg/L health-based screening level. The positive correlation of manganese with iron and ammonia and the negative correlation of manganese with dissolved oxygen and nitrate are consistent with the reductive dissolution of manganese oxides in the aquifer. Zinc concentrations typically were less than 10 µg/L in the groundwater samples considered in the study, but 0.4 percent and 5.5 percent of the samples had concentrations greater than the health-based screening level of 2,000 µg/L and one-tenth of the health-based screening level, respectively. The mean rank concentration of zinc in groundwater from the quartz-rich sedimentary rock lithologic group was greater than that for other lithologic groups even after eliminating samples collected from wells constructed with galvanized casing.\n\nApproximately 90 percent of 275 groundwater samples had radon-222 concentrations that were greater than the proposed alternative maximum contaminant level of 300 picocuries per liter. In contrast, only 2.0 percent of 98 samples had combined radium (radium-226 plus radium-228) concentrations greater than the maximum contaminant level of 5.0 picocuries per liter, and 0.6 percent of 310 samples had uranium concentrations greater than the maximum contaminant level of 30 µg/L. Radon concentrations were highest in the Piedmont and Blue Ridge crystalline-rock aquifers, especially in granite, and elevated median concentrations were noted in the Piedmont Early Mesozoic basin aquifers, but without the extreme maximum concentrations found in the crystalline rocks (granites). Although the siliciclastic lithologies had a greater frequency of elevated uranium concentrations, radon and radium were commonly detected in water from both siliciclastic and crystalline lithologies. Uranium concentrations in groundwater from clastic sedimentary and clastic lacustrine/evaporite sedimentary lithologic groups within the Early Mesozoic basin aquifers, which had median concentrations of 3.6 and 3.1 µg/L, respectively, generally were higher than concentrations for other siliciclastic lithologic groups, which had median concentrations less than 1 µg/L. Although 89 percent of the 260 samples from crystalline-rock aquifers had uranium concentrations less than 1 µg/L, 0.8 percent had uranium concentrations greater than the 30-µg/L maximum contaminant level, and 6.5 percent had concentrations greater than 3 µg/L.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135072","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Chapman, M.J., Cravotta, C.A., Szabo, Z., and Lindsay, B.D., 2013, Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008: U.S. Geological Survey Scientific Investigations Report 2013-5072, xi, 74 p.; Tables, https://doi.org/10.3133/sir20135072.","productDescription":"xi, 74 p.; Tables","numberOfPages":"90","onlineOnly":"Y","temporalStart":"1994-01-01","temporalEnd":"2008-01-01","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":275610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135072.bmp"},{"id":275608,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5072/"},{"id":275609,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5072/pdf/sir2013-5072.pdf"},{"id":275607,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5072/table/Chapman_PIED6_Tables.xlsx"}],"country":"United States","state":"Alabama;Delaware;Georgia;Maryl;New Jersey;North Carolina;Pennsylvania;Virginia;West Virginia","otherGeospatial":"Piedmont And Blue Ridge Physiographic Provinces","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.0,32.0 ], [ -86.0,44.0 ], [ -70.0,44.0 ], [ -70.0,32.0 ], [ -86.0,32.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c7fe4b076c3a8d8261b","contributors":{"authors":[{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":481692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":2240,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":481693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsay, Bruce D.","contributorId":102360,"corporation":false,"usgs":true,"family":"Lindsay","given":"Bruce","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":481694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047304,"text":"70047304 - 2013 - Variations of iron flux and organic carbon remineralization in a subterranean estuary caused by interannual variations in recharge","interactions":[],"lastModifiedDate":"2025-05-13T18:13:21.234825","indexId":"70047304","displayToPublicDate":"2013-07-30T16:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Variations of iron flux and organic carbon remineralization in a subterranean estuary caused by interannual variations in recharge","docAbstract":"We determine the inter-annual variations in diagenetic reaction rates of sedimentary iron (Fe ) in an east Florida subterranean estuary and evaluate the connection between metal fluxes and recharge to the coastal aquifer.  Over the three-year study period (from 2004 to 2007), the amount of Fe-oxides reduced at the study site decreased from 192 g/yr to 153 g/yr and associated organic carbon (OC) remineralization decreased from 48 g/yr to 38 g/yr.  These reductions occurred although the Fe-oxide reduction rates remained constant around 1 mg/cm<sup>2</sup>/yr.  These results suggest that changes in flow rates of submarine groundwater discharge (SGD) related to changes in precipitation may be important to fluxes of the diagenetic reaction products.  Rainfall at a weather station approximately 5 km from the field area decreased from 12.6 cm/month to 8.4 cm/month from 2004 to 2007.  Monthly potential evapotranspiration (PET) calculated from Thornthwaite’s method indicated potential evapotranspiration cycled from about 3 cm/month in the winter to about 15 cm/month in the summer so that net annual recharge to the aquifer decreased from 40 cm in 2004 to -10 cm in 2007.  Simultaneously, with the decrease in recharge of groundwater, freshwater SGD decreased by around 20% and caused the originally 25 m wide freshwater seepage face to decrease in width by about 5 m.  The smaller seepage face reduced the area under which Fe-oxides were undergoing reductive dissolution.  Consequently, the observed decrease in Fe flux is controlled by hydrology of the subterranean estuary.  These results point out the need to better understand linkages between temporal variations in diagenetic reactions and changes in flow within subterranean estuaries in order to accurately constrain their contribution to oceanic fluxes of solutes from subterranean estuaries.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2012.10.055","usgsCitation":"Roy, M., Martin, J., Cable, J.E., and Smith, C.G., 2013, Variations of iron flux and organic carbon remineralization in a subterranean estuary caused by interannual variations in recharge: Geochimica et Cosmochimica Acta, v. 103, p. 301-315, https://doi.org/10.1016/j.gca.2012.10.055.","productDescription":"15 p.","startPage":"301","endPage":"315","numberOfPages":"15","ipdsId":"IP-032648","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275600,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2012.10.055"},{"id":275601,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Indian River Lagoon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.643947,28.05794 ], [ -80.643947,28.164889 ], [ -80.559226,28.164889 ], [ -80.559226,28.05794 ], [ -80.643947,28.05794 ] ] ] } } ] }","volume":"103","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d25be4b0cecbe8fa983c","contributors":{"authors":[{"text":"Roy, Moutusi","contributorId":27998,"corporation":false,"usgs":true,"family":"Roy","given":"Moutusi","email":"","affiliations":[],"preferred":false,"id":481672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Jonathan B.","contributorId":68450,"corporation":false,"usgs":true,"family":"Martin","given":"Jonathan B.","affiliations":[],"preferred":false,"id":481673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cable, Jaye E.","contributorId":83658,"corporation":false,"usgs":true,"family":"Cable","given":"Jaye","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481671,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047285,"text":"gq1767 - 2013 - Geologic map of the Valley Mountain 15’ quadrangle, San Bernardino and Riverside Counties, California","interactions":[],"lastModifiedDate":"2022-04-15T21:30:34.768076","indexId":"gq1767","displayToPublicDate":"2013-07-29T20:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":316,"text":"Geologic Quadrangle","code":"GQ","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1767","title":"Geologic map of the Valley Mountain 15’ quadrangle, San Bernardino and Riverside Counties, California","docAbstract":"The Valley Mountain 15’ quadrangle straddles the Pinto Mountain Fault, which bounds the eastern Transverse Ranges in the south against the Mojave Desert province in the north. The Pinto Mountains, part of the eastern Transverse Ranges in the south part of the quadrangle expose a series of Paleoproterozoic gneisses and granite and the Proterozoic quartzite of Pinto Mountain. Early Triassic quartz monzonite intruded the gneisses and was ductiley deformed prior to voluminous Jurassic intrusion of diorite, granodiorite, quartz monzonite, and granite plutons. The Jurassic rocks include part of the Bullion Mountains Intrusive Suite, which crops out prominently at Valley Mountain and in the Bullion Mountains, as well as in the Pinto Mountains. Jurassic plutons in the southwest part of the quadrangle are deeply denuded from midcrustal emplacement levels in contrast to supracrustal Jurassic limestone and volcanic rocks exposed in the northeast. Dikes inferred to be part of the Jurassic Independence Dike Swarm intrude the Jurassic plutons and Proterozoic rocks. Late Cretaceous intrusion of the Cadiz Valley Batholith in the northeast caused contact metamorphism of adjacent Jurassic plutonic rocks.\n\nThe Tertiary period saw emplacement of basanitoid basalt at about 23 Ma and deposition of Miocene and (or) Pliocene ridge-capping gravels. An undated east-dipping low-angle normal fault zone in the Pinto Mountains drops hanging-wall rocks eastward and may account for part of the contrast in uplift history across the quadrangle. The eastern Transverse Ranges are commonly interpreted as severely rotated clockwise tectonically in the Neogene relative to the Mojave Desert, but similar orientations of Jurassic dike swarms suggest that any differential rotation between the two provinces is small in this quadrangle. The late Cenozoic Pinto Mountain Fault and other strike-slip faults cut Quaternary deposits in the quadrangle, with two northwest-striking faults cutting Holocene deposits.\n\nGeographic Information System and metadata on most geologic features are available on the Geologic map of the Sheep Hole Mountains 30’ by 60’ quadrangle, U.S. Geological Survey map MF–2234, scale 1:100,000, available at http://pubs.usgs.gov/mf/2002/2344/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gq1767","usgsCitation":"Howard, K.A., Bacheller, J., Fitzgibbon, T.T., Powell, R.E., and Allen, C., 2013, Geologic map of the Valley Mountain 15’ quadrangle, San Bernardino and Riverside Counties, California: U.S. Geological Survey Geologic Quadrangle 1767, Report: ii, 17 p.; 1 Sheet: 33.60 × 35.24 inches, https://doi.org/10.3133/gq1767.","productDescription":"Report: ii, 17 p.; 1 Sheet: 33.60 × 35.24 inches","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":275541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gq1767.png"},{"id":398880,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98762.htm"},{"id":275539,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/gq/1767/gq1767_sheet.pdf"},{"id":275538,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gq/1767/"},{"id":275540,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gq/1767/gq1767_pamphlet.pdf"}],"scale":"62500","country":"United States","state":"California","county":"Riverside County, San Bernardino County","otherGeospatial":"Valley Mountain 15' quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.0,34.0 ], [ -116.0,34.25 ], [ -115.75,34.25 ], [ -115.75,34.0 ], [ -116.0,34.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d5e4b02e26443a9321","contributors":{"authors":[{"text":"Howard, Keith A. 0000-0002-6462-2947 khoward@usgs.gov","orcid":"https://orcid.org/0000-0002-6462-2947","contributorId":3439,"corporation":false,"usgs":true,"family":"Howard","given":"Keith","email":"khoward@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":481611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bacheller, John","contributorId":41314,"corporation":false,"usgs":true,"family":"Bacheller","given":"John","email":"","affiliations":[],"preferred":false,"id":481613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzgibbon, Todd T.","contributorId":81126,"corporation":false,"usgs":true,"family":"Fitzgibbon","given":"Todd","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":481614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Robert E. 0000-0001-7682-1655 rpowell@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-1655","contributorId":4210,"corporation":false,"usgs":true,"family":"Powell","given":"Robert","email":"rpowell@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":481612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Charlotte M.","contributorId":107297,"corporation":false,"usgs":true,"family":"Allen","given":"Charlotte M.","affiliations":[],"preferred":false,"id":481615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047270,"text":"70047270 - 2013 - The role of vermetid gastropods in the development of the Florida Middle Ground, northeast Gulf of Mexico","interactions":[],"lastModifiedDate":"2013-07-29T13:53:24","indexId":"70047270","displayToPublicDate":"2013-07-29T13:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"The role of vermetid gastropods in the development of the Florida Middle Ground, northeast Gulf of Mexico","docAbstract":"The Florida Middle Ground is a complex of north to northwest trending ridges that lie approximately 180 km northwest of Tampa Bay, Florida. The irregular ridges appear on the otherwise gently sloping West Florida shelf and exhibit between 10-15 m of relief. Modern studies interpret the ridges as remnants of a Holocene coral-reef buildup that today provide a hard substrate for growth of a variety of benthic organisms including hydrocorals, scleractinians, alcyonarians, and algae. Recent rotary coring reveals that the core of the eastern ridge of the Florida Middle Ground complex consists of unconsolidated marine calcareous muddy sand that is capped by a boundstone composed primarily of the sessile vermetid gastropod <i>Petaloconchus</i> sp., and overlays a weathered, fossiliferous limestone. Accelerator Mass Spectrometry radiocarbon ages (uncalibrated) on the 3.6-m thick vermetid worm rock indicate that it developed during a sea-level stillstand in the early Holocene (8,225 &plusmn;30-8,910 &plusmn; 25 yr B.P.). Our observations suggest that the Florida Middle Ground is a remnant of a series of shore parallel bars that formed in the early Holocene and were capped by a 3.6-m thick unit of vermetid gastropods. During a rapid sea-level rise that began ~8,000 yr B.P. the vermetids growth ceased and the worm rock preserved the ridges structure. Diver observations document that the edges of the ridges are currently being eroded and undermined by biological activity and current action, leading to calving of large capstone blocks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Journal of Coastal Research","doi":"10.2112/SI63-005.1","usgsCitation":"Reich, C.D., Poore, R.Z., and Hickey, T.D., 2013, The role of vermetid gastropods in the development of the Florida Middle Ground, northeast Gulf of Mexico: Journal of Coastal Research, p. 46-57, https://doi.org/10.2112/SI63-005.1.","productDescription":"12 p.","startPage":"46","endPage":"57","numberOfPages":"12","ipdsId":"IP-037412","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275510,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-005.1"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Middle Ground","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.9077,27.3348 ], [ -84.9077,29.539 ], [ -82.6125,29.539 ], [ -82.6125,27.3348 ], [ -84.9077,27.3348 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d7e4b02e26443a933d","contributors":{"authors":[{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":481575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickey, Todd D.","contributorId":34255,"corporation":false,"usgs":true,"family":"Hickey","given":"Todd","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":481577,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047264,"text":"sir20135041 - 2013 - Hydrogeology, groundwater seepage, nitrate distribution, and flux at the Raleigh hydrologic research station, Wake County, North Carolina, 2005-2007","interactions":[],"lastModifiedDate":"2017-02-07T10:21:11","indexId":"sir20135041","displayToPublicDate":"2013-07-29T09:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5041","title":"Hydrogeology, groundwater seepage, nitrate distribution, and flux at the Raleigh hydrologic research station, Wake County, North Carolina, 2005-2007","docAbstract":"rom 2005 to 2007, the U.S. Geological Survey and the North Carolina Department of Environment and Natural Resources, Division of Water Quality, conducted a study to describe the geologic framework, measure groundwater quality, characterize the groundwater-flow system, and describe the groundwater/surface-water interaction at the 60-acre Raleigh hydrogeologic research station (RHRS) located at the Neuse River Waste Water Treatment Plant in eastern Wake County, North Carolina. Previous studies have shown that the local groundwater quality of the surficial and bedrock aquifers at the RHRS had been affected by high levels of nutrients. Geologic, hydrologic, and water-quality data were collected from 3 coreholes, 12 wells, and 4 piezometers at 3 well clusters, as well as from 2 surface-water sites, 2 multiport piezometers, and 80 discrete locations in the streambed of the Neuse River. Data collected were used to evaluate the three primary zones of the Piedmont aquifer (regolith, transition zone, and fractured bedrock) and characterize the interaction of groundwater and surface water as a mechanism of nutrient transport to the Neuse River. A conceptual hydrogeologic cross section across the RHRS was constructed using new and existing data. Two previously unmapped north striking, nearly vertical diabase dikes intrude the granite beneath the site. Groundwater within the diabase dike appeared to be hydraulically isolated from the surrounding granite bedrock and regolith. A correlation exists between foliation and fracture orientation, with most fractures striking parallel to foliation. Flowmeter logging in two of the bedrock wells indicated that not all of the water-bearing fractures labeled as water bearing were hydraulically active, even when stressed by pumping. Groundwater levels measured in wells at the RHRS displayed climatic and seasonal trends, with elevated groundwater levels occurring during the late spring and declining to a low in the late fall. Vertical gradients in the groundwater discharge area near the Neuse River were complex and were affected by fluctuations in river stage, with the exception of a well completed in a diabase dike. Water-quality data from the wells and surface-water sites at the RHRS were collected continuously as well as during periodic sampling events. Surface-water samples collected from a tributary were most similar in chemical composition to groundwater found in the regolith and transition zone. Nitrate (measured as nitrite plus nitrate, as nitrogen) concentrations in the sampled wells and tributary ranged from about 5 to more than 120 milligrams per liter as nitrogen. Waterborne continuous resistivity profiling conducted on the Neuse River in the area of the RHRS measured areas of low apparent resistivity that likely represent groundwater contaminated by high concentrations of nitrate. These areas were located on either side of a diabase dike and at the outfall of two unnamed tributaries. The diabase dike preferentially directed the discharge of groundwater to the Neuse River and may isolate groundwater movement laterally. Discrete temperature measurements made within the pore water beneath the Neuse River revealed seeps of colder groundwater discharging into warmer surface water near a diabase dike. Water-quality samples collected from the pore water beneath the Neuse River indicated that nitrate was present at concentrations as high as 80 milligrams per liter as nitrogen on the RHRS side of the river. The highest concentrations of nitrate were located within pore water collected from an area near a diabase dike that was identified as a suspected seepage area. Hydraulic head was measured and pore water samples were collected from two 140-centimeter-deep (55.1-inch-deep) multiport piezometers that were installed in bed sediments on opposite sides of a diabase dike. The concentration of nitrate in pore water at a suspected seepage area ranged from 42 to 82 milligrams per liter as nitrogen with a median concentration of 79 milligrams per liter as nitrogen. On the opposite side of the dike, concentrations of nitrate in pore water samples ranged from 3 to 91 milligrams per liter as nitrogen with a median concentration of 52 milligrams per liter. At one of the multiport piezometers the vertical gradient of hydraulic head between the Neuse River and the groundwater was too small to measure. At the multiport piezometer located in the suspected seepage area, an upward gradient of about 0.1 was present and explains the occurrence of higher concentrations of nitrate near the sediment/water interface. Horizontal seepage flux from the surficial aquifer to the edge of the Neuse River was estimated for 2006. Along a 130-foot flow path, the estimated seepage flux ranged from –0.52 to 0.2 foot per day with a median of 0.09 foot per day. The estimated advective horizontal mass flux of nitrate along a 300-foot reach of the Neuse River ranged from –10.9 to 5 pounds per day with a median of 2.2 pounds per day. The total horizontal mass flux of nitrate from the surficial aquifer to the Neuse River along the 130-foot flow path was estimated to be about 750 pounds for all of 2006. Seepage meters were deployed on the bed of the Neuse River in the areas of the multiport piezometers on either side of the diabase dike to estimate rates of vertical groundwater discharge and flux of nitrate. The average estimated daily seepage flux differed by two orders of magnitude between seepage areas. The potential vertical flux of nitrate from groundwater to the Neuse River was estimated at an average of 2.5 grams per day near one of the multiport piezometers and an average of 784 grams per day at the other. These approximations suggest that under some hydrologic conditions there is the potential for substantial quantities of nitrate to discharge from the groundwater to the Neuse River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135041","collaboration":"Prepared In Cooperation With The North Carolina Department Of Environment And Natural Resources Division Of Water Quality","usgsCitation":"McSwain, K., Bolich, R.E., and Chapman, M.J., 2013, Hydrogeology, groundwater seepage, nitrate distribution, and flux at the Raleigh hydrologic research station, Wake County, North Carolina, 2005-2007: U.S. Geological Survey Scientific Investigations Report 2013-5041, viii, 54 p., https://doi.org/10.3133/sir20135041.","productDescription":"viii, 54 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":275495,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5041/"},{"id":275496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135041.gif"},{"id":275494,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5041/pdf/sir2013-5041.pdf"}],"country":"United States","state":"North Carolina","otherGeospatial":"Neuse River Waste Water Treatment Plant","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.32,33.84 ], [ -84.32,36.59 ], [ -78.04,36.59 ], [ -78.04,33.84 ], [ -84.32,33.84 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d6e4b02e26443a9325","contributors":{"authors":[{"text":"McSwain, Kristen Bukowski","contributorId":104458,"corporation":false,"usgs":true,"family":"McSwain","given":"Kristen Bukowski","affiliations":[],"preferred":false,"id":481565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolich, Richard E.","contributorId":89615,"corporation":false,"usgs":true,"family":"Bolich","given":"Richard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70118399,"text":"70118399 - 2013 - Pb-Sr-Nd isotopes in surficial materials at the Pebble Porphyry Cu-Au-Mo Deposit, Southwestern Alaska: can the mineralizing fingerprint be detected through cover?","interactions":[],"lastModifiedDate":"2018-10-15T08:55:16","indexId":"70118399","displayToPublicDate":"2013-07-28T16:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pb-Sr-Nd isotopes in surficial materials at the Pebble Porphyry Cu-Au-Mo Deposit, Southwestern Alaska: can the mineralizing fingerprint be detected through cover?","docAbstract":"The Cretaceous Pebble porphyry Cu-Au-Mo deposit is covered by tundra and glacigenic sediments. Pb-Sr-Nd measurements were done on sediments and soils to establish baseline conditions prior to the onset of mining operations and contribute to the development of exploration methods for concealed base metal deposits of this type. Pebble rocks have a moderate range for <sup>206</sup>Pb/<sup>204</sup>Pb = 18.574 to 18.874, <sup>207</sup>Pb/<sup>204</sup>Pb = 15.484 to 15.526, and <sup>208,</sup>Pb/<sup>204</sup>Pb = 38.053 to 38.266. Mineralized granodiorite shows a modest spread in <sup>87</sup>Sr/<sup>86</sup>Sr (0.704354–0.707621) and <sup>143</sup>Nd/<sup>144</sup>Nd (0.512639–0.512750). Age-corrected (89 Ma) values for the granodiorite yield relatively unradiogenic Pb (e.g., <sup>207</sup>Pb/<sup>204</sup>Pb <15.52), low values of <sup>87</sup>Sr/<sup>86</sup>Sr, and positive values of ɛNd (1.00–4.52) that attest to a major contribution of mantle-derived source rocks. Pond sediments and soils have similar Pb isotope signatures and <sup>87</sup>Sr/<sup>86</sup>Sr and <sup>143</sup>Nd/<sup>144</sup>Nd values that resemble the mineralized granodiorites. Glacial events have obscured the recognition of isotope signatures of mineralized rocks in the sediments and soils. Baseline radiogenic isotope compositions, prior to the onset of mining operations, reflect natural erosion, transport and deposition of heterogeneous till sheets that included debris from barren rocks, mineralized granodiorite and sulfides from the Pebble deposit, and other country rocks that pre- and postdate the mineralization events. Isotopic variations suggest that natural weathering of the deposit is generally reflected in these surficial materials. The isotope data provide geochemical constraints to glimpse through the extensive cover and together with other geochemical observations provide a vector to concealed mineralized rocks genetically linked with the Pebble deposit.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Economic Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.108.3.543","usgsCitation":"Ayuso, R.A., Kelley, K., Eppinger, R.G., and Forni, F., 2013, Pb-Sr-Nd isotopes in surficial materials at the Pebble Porphyry Cu-Au-Mo Deposit, Southwestern Alaska: can the mineralizing fingerprint be detected through cover?: Economic Geology, v. 108, no. 3, p. 543-563, https://doi.org/10.2113/econgeo.108.3.543.","productDescription":"21 p.","startPage":"543","endPage":"563","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":291231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291230,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/econgeo.108.3.543"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.333333,59.866667 ], [ -155.333333,59.95 ], [ -155.233333,59.95 ], [ -155.233333,59.866667 ], [ -155.333333,59.866667 ] ] ] } } ] }","volume":"108","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-07","publicationStatus":"PW","scienceBaseUri":"57f7f286e4b0bc0bec0a0422","contributors":{"authors":[{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":496883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelley, Karen D. 0000-0002-3232-5809","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":57817,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen D.","affiliations":[],"preferred":false,"id":496885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eppinger, Robert G. eppinger@usgs.gov","contributorId":849,"corporation":false,"usgs":true,"family":"Eppinger","given":"Robert","email":"eppinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":496882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forni, Francesca","contributorId":27371,"corporation":false,"usgs":true,"family":"Forni","given":"Francesca","email":"","affiliations":[],"preferred":false,"id":496884,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70118268,"text":"70118268 - 2013 - Atmospheric mercury and fine particulate matter in coastal New England: implications for mercury and trace element sources in the northeastern United States","interactions":[],"lastModifiedDate":"2017-11-05T11:52:18","indexId":"70118268","displayToPublicDate":"2013-07-28T10:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric mercury and fine particulate matter in coastal New England: implications for mercury and trace element sources in the northeastern United States","docAbstract":"Intensive sampling of ambient atmospheric fine particulate matter was conducted at Woods Hole, Massachusetts over a four-month period from 3 April to 29 July, 2008, in conjunction with year-long deployment of the USGS Mobile Mercury Lab. Results were obtained for trace elements in fine particulate matter concurrently with determination of ambient atmospheric mercury speciation and concentrations of ancillary gasses (SO<sub>2</sub>, NO<sub>x</sub>, and O<sub>3</sub>). For particulate matter, trace element enrichment factors greater than 10 relative to crustal background values were found for As, Bi, Cd, Cu, Hg, Pb, Sb, V, and Zn, indicating contribution of these elements by anthropogenic sources. For other elements, enrichments are consistent with natural marine (Na, Ca, Mg, Sr) or crustal (Ba, Ce, Co, Cs, Fe, Ga, La, Rb, Sc, Th, Ti, U, Y) sources, respectively. Positive matrix factorization was used together with concentration weighted air-mass back trajectories to better define element sources and their locations. Our analysis, based on events exhibiting the 10% highest PM<sub>2.5</sub> contributions for each source category, identifies coal-fired power stations concentrated in the U.S. Ohio Valley, metal smelting in eastern Canada, and marine and crustal sources showing surprisingly similar back trajectories, at times each sampling Atlantic coastal airsheds. This pattern is consistent with contribution of Saharan dust by a summer maximum at the latitude of Florida and northward transport up the Atlantic Coast by clockwise circulation of the summer Bermuda High. Results for mercury speciation show diurnal production of RGM by photochemical oxidation of Hg° in a marine environment, and periodic traverse of the study area by correlated RGM-SO<sub>2</sub>(NO<sub>x</sub>) plumes, indicative of coal combustion sources.","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2013.07.031","usgsCitation":"Kolker, A., Engle, M.A., Peucker-Ehrenbrink, B., Geboy, N., Krabbenhotft, D.P., Bothner, M., and Tate, M., 2013, Atmospheric mercury and fine particulate matter in coastal New England: implications for mercury and trace element sources in the northeastern United States: Atmospheric Environment, v. 79, p. 760-768, https://doi.org/10.1016/j.atmosenv.2013.07.031.","startPage":"760","endPage":"768","costCenters":[],"links":[{"id":473644,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.atmosenv.2013.07.031","text":"External Repository"},{"id":291128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291127,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.atmosenv.2013.07.031"}],"country":"United States","state":"Massachusetts","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.697498,41.513339 ], [ -70.697498,41.546624 ], [ -70.639856,41.546624 ], [ -70.639856,41.513339 ], [ -70.697498,41.513339 ] ] ] } } ] }","volume":"79","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f286e4b0bc0bec0a0432","contributors":{"authors":[{"text":"Kolker, Allan 0000-0002-5768-4533 akolker@usgs.gov","orcid":"https://orcid.org/0000-0002-5768-4533","contributorId":643,"corporation":false,"usgs":true,"family":"Kolker","given":"Allan","email":"akolker@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":496657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":496656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peucker-Ehrenbrink, Bernhard 0000-0002-3819-992X","orcid":"https://orcid.org/0000-0002-3819-992X","contributorId":78657,"corporation":false,"usgs":true,"family":"Peucker-Ehrenbrink","given":"Bernhard","email":"","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":496662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geboy, Nicholas J. ngeboy@usgs.gov","contributorId":3860,"corporation":false,"usgs":true,"family":"Geboy","given":"Nicholas J.","email":"ngeboy@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":496659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krabbenhotft, David P.","contributorId":19887,"corporation":false,"usgs":true,"family":"Krabbenhotft","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":496661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":496660,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496658,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047261,"text":"ofr20131150 - 2013 - Abundance, distribution, and population trends of the iconic Hawaiian Honeycreeper, the ʻIʻiwi (Vestiaria coccinea) throughout the Hawaiian Islands","interactions":[],"lastModifiedDate":"2013-07-27T11:27:51","indexId":"ofr20131150","displayToPublicDate":"2013-07-27T11:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1150","title":"Abundance, distribution, and population trends of the iconic Hawaiian Honeycreeper, the ʻIʻiwi (Vestiaria coccinea) throughout the Hawaiian Islands","docAbstract":"Naturalists in the 1800s described the ʻIʻiwi (Vestiaria coccinea) as one of the most abundant forest birds, detected in forested areas from sea level to tree line across all the major Hawaiian Islands. However, in the late 1800s, ʻIʻiwi began to disappear from low elevation forests, and by the mid-1900s, the species was largely absent from low- and mid-elevation areas. Today, ʻIʻiwi are restricted to high-elevation forests on the islands of Hawaiʻi, east Maui, and Kauaʻi, with a few birds apparently persisting on Oʻahu, Molokaʻi, and west Maui. ʻIʻiwi are highly vulnerable to introduced disease, and the prevalence of avian malaria in low and mid-elevations is believed to be the cause of ʻIʻiwi being restricted to high elevations where temperatures are too cold for the development of the disease and its mosquito vector. With global warming, it is feared that the disease will move quickly into the high-elevation forests where the last ʻIʻiwi reside, threatening their viability. The U.S. Fish and Wildlife Service was petitioned to list the ʻIʻiwi as an Endangered Species in 2010, and this report provides a comprehensive review of the abundance, distribution, and trends using historical survey data as well as the most recently available survey information (up to 2012). We estimate the total population size of ‘I‘iwi at 550,972–659,864 (mean = 605,418) individuals. Of these, 90 percent are on the island of Hawaiʻi, followed by east Maui (about 10 percent), with less than 1 percent on Kauaʻi. ʻIʻiwi population trends vary across the islands. ʻIʻiwi population in Kauaʻi has experienced sharp declines, with a projected trend of 92 percent decline over a 25 year period based on the 2000–2012 surveys. On East Maui, the northeastern region has experienced declines (34 percent over a 25 year period), while the southeastern region has been stable to moderately increasing. On the island of Hawaiʻi, population trends are mixed. On the windward side, populations are largely declining, although the northern section (Hakalau Forest) has stable populations. On the leeward side, results suggest a strongly increasing population, with estimates of as much as a 147 percent increase over a 25 year period from the Puʻu Waʻawaʻa region. However, it is unclear how much these results from the leeward side of Hawaiʻi show a population trend contrary to population trends in all other areas or are an artifact of a sparsely sampled area. Trends by elevation suggest a large decrease in numbers of ʻIʻiwi at elevations below 1,200 meters on Kauaʻi and northeast Maui. Low elevation ʻIʻiwi populations also appear to have decreased in other regions, although low-elevation areas are not surveyed as often as other areas because of their lack of native forest birds. An exception to this pattern was the lower portions of the Hakalau Forest National Wildlife Refuge Kona Unit in the central leeward part of the island of Hawaiʻi, where populations appeared stable at the lower elevations. Based on the most recent surveys (up to 2012), approximately 50 percent of ʻIʻiwi live in a narrow, 500-meter band at elevations of 1,200–1,700 meters, suggesting that ʻIʻiwi are vulnerable to future shifts in climate.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131150","collaboration":"Prepared in cooperation with Hawai‘i Cooperative Studies Unit, University of Hawaiʻi Hilo","usgsCitation":"Paxton, E.H., Gorresen, P.M., and Camp, R., 2013, Abundance, distribution, and population trends of the iconic Hawaiian Honeycreeper, the ʻIʻiwi (Vestiaria coccinea) throughout the Hawaiian Islands: U.S. Geological Survey Open-File Report 2013-1150, iv, 59 p., https://doi.org/10.3133/ofr20131150.","productDescription":"iv, 59 p.","numberOfPages":"63","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":275486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131150.jpg"},{"id":275484,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1150/"},{"id":275485,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1150/pdf/ofr20131150.pdf"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.31,18.91 ], [ -178.31,28.4 ], [ -154.81,28.4 ], [ -154.81,18.91 ], [ -178.31,18.91 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f4ddd1e4b0838938b2802b","contributors":{"authors":[{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":481552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorresen, P. Marcos mgorresen@usgs.gov","contributorId":37020,"corporation":false,"usgs":true,"family":"Gorresen","given":"P.","email":"mgorresen@usgs.gov","middleInitial":"Marcos","affiliations":[],"preferred":false,"id":481554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":481553,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047260,"text":"ofr20131129 - 2013 - Analytical approaches used in stream benthic macroinvertebrate biomonitoring programs of State agencies in the United States","interactions":[],"lastModifiedDate":"2013-07-27T11:15:32","indexId":"ofr20131129","displayToPublicDate":"2013-07-27T11:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1129","title":"Analytical approaches used in stream benthic macroinvertebrate biomonitoring programs of State agencies in the United States","docAbstract":"Biomonitoring programs based on benthic macroinvertebrates are well-established worldwide. Their value, however, depends on the appropriateness of the analytical techniques used. All United States State, benthic macroinvertebrate biomonitoring programs were surveyed regarding the purposes of their programs, quality-assurance and quality-control procedures used, habitat and water-chemistry data collected, treatment of macroinvertebrate data prior to analysis, statistical methods used, and data-storage considerations. State regulatory mandates (59 percent of programs), biotic index development (17 percent), and Federal requirements (15 percent) were the most frequently reported purposes of State programs, with the specific tasks of satisfying the requirements for 305b/303d reports (89 percent), establishment and monitoring of total maximum daily loads, and developing biocriteria being the purposes most often mentioned. Most states establish reference sites (81 percent), but classify them using State-specific methods. The most often used technique for determining the appropriateness of a reference site was Best Professional Judgment (86 percent of these states). Macroinvertebrate samples are almost always collected by using a D-frame net, and duplicate samples are collected from approximately 10 percent of sites for quality assurance and quality control purposes. Most programs have macroinvertebrate samples processed by contractors (53 percent) and have identifications confirmed by a second taxonomist (85 percent). All States collect habitat data, with most using the Rapid Bioassessment Protocol visual-assessment approach, which requires ~1 h/site. Dissolved oxygen, pH, and conductivity are measured in more than 90 percent of programs. Wide variation exists in which taxa are excluded from analyses and the level of taxonomic resolution used. Species traits, such as functional feeding groups, are commonly used (96 percent), as are tolerance values for organic pollution (87 percent). Less often used are tolerance values for metals (28 percent). Benthic data are infrequently modified (34 percent) prior to analysis. Fixed-count subsampling is used widely (83 percent), with the number of organisms sorted ranging from 100 to 600 specimens. Most programs include a step during sample processing to acquire rare taxa (79 percent). Programs calculate from 2 to more than100 different metrics (mean 20), and most formulate a multimetric index (87 percent). Eleven of the 112 metrics reported represent 50 percent of all metrics considered to be useful, and most of these are based on richness or percent composition. Biotic indices and tolerance metrics are most oftenused in the eastern U.S., and functional and habitat-type metrics are most often used in the western U.S. Sixty-nine percent of programs analyze their data in-house, typically performing correlations and regressions, and few use any form of data transformation (34 percent). Fifty-one percent of the programs use multivariate analyses, typically non-metric multi-dimensional scaling. All programs have electronic data storage. Most programs use the Integrated Taxonomic Information System (75 percent) for nomenclature and to update historical data (78 percent). State procedures represent a diversity of biomonitoring approaches which likely compromises comparability among programs. A national-state consensus is needed for: (1) developing methods for the identification of reference conditions and reference sites, (2) standardization in determining and reporting species richness, (3) testing and documenting both the theoretical and mechanistic basis of often-used metrics, (4) development of properly replicated point-source study designs, and (5) curation of benthic macroinvertebrate data, including reference and voucher collections, for successful evaluation of future environmental changes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131129","usgsCitation":"Carter, J.L., and Resh, V.H., 2013, Analytical approaches used in stream benthic macroinvertebrate biomonitoring programs of State agencies in the United States: U.S. Geological Survey Open-File Report 2013-1129, vi, 50 p., https://doi.org/10.3133/ofr20131129.","productDescription":"vi, 50 p.","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":275483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131129.png"},{"id":275481,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1129/"},{"id":275482,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1129/pdf/ofr20131129.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f4ddd9e4b0838938b2802f","contributors":{"authors":[{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":481550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Resh, Vincent H.","contributorId":12169,"corporation":false,"usgs":true,"family":"Resh","given":"Vincent","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":481551,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047222,"text":"70047222 - 2013 - Susceptibility of eastern U.S. habitats to invasion of Celastrus orbiculatus (oriental bittersweet) following fire","interactions":[],"lastModifiedDate":"2013-07-26T15:44:09","indexId":"70047222","displayToPublicDate":"2013-07-26T15:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Susceptibility of eastern U.S. habitats to invasion of Celastrus orbiculatus (oriental bittersweet) following fire","docAbstract":"Fire effects on invasive species are an important land management issue in areas subjected to prescribed fires as well as wildfires. These effects on invasive species can be manifested across life stages. The liana <i>Celastrus orbiculatus</i> (oriental bittersweet) is a widespread invader of eastern US habitats including those where fire management is in practice. This study examined if prescribed fire makes these habitats more susceptible to invasion of <i>C. orbiculatus</i> by seed at Indiana Dunes National Lakeshore. Four treatments (control, litter removed, high and low intensity fire) were applied in six habitat types (sand savanna/woodland, sand prairie, moraine prairie, sand oak forest, beech-maple forest, and oak-hickory forest) and germinating seedlings were tracked over two growing seasons. Treatment did not have a significant effect on the germination, survival, or biomass of <i>C. orbiculatus</i>. However, habitat type did influence these responses mostly in the first growing season. Moraine prairie, beech-maple forest, and oak-hickory forests had the greatest peak percentage of germinants. Moraine prairie had significantly greater survival than oak forest and savanna habitats. Control plots with intact litter, and the moraine prairie habitat had the tallest seedlings at germination, while tallest final heights and greatest aboveground biomass were highest in oak forest. Thus, fire and litter removal did not increase the susceptibility of these habitats to germination and survival of <i>C. orbiculatus</i>. These results indicate that most eastern US habitats are vulnerable to invasion by this species via seed regardless of the level or type of disturbance to the litter layer.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2013.03.019","usgsCitation":"Leicht-Young, S.A., Pavlovic, N.B., and Grundel, R., 2013, Susceptibility of eastern U.S. habitats to invasion of Celastrus orbiculatus (oriental bittersweet) following fire: Forest Ecology and Management, v. 302, p. 85-96, https://doi.org/10.1016/j.foreco.2013.03.019.","productDescription":"12 p.","startPage":"85","endPage":"96","numberOfPages":"12","ipdsId":"IP-044634","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":275476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275475,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2013.03.019"}],"country":"United States","state":"Indiana","otherGeospatial":"Indiana Dunes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.222797,41.609748 ], [ -87.222797,41.68438 ], [ -87.009077,41.68438 ], [ -87.009077,41.609748 ], [ -87.222797,41.609748 ] ] ] } } ] }","volume":"302","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f38c5ee4b0a32220222f3f","chorus":{"doi":"10.1016/j.foreco.2013.03.019","url":"http://dx.doi.org/10.1016/j.foreco.2013.03.019","publisher":"Elsevier BV","authors":"Leicht-Young Stacey A., Pavlovic Noel B., Grundel Ralph","journalName":"Forest Ecology and Management","publicationDate":"8/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Leicht-Young, Stacey A.","contributorId":80506,"corporation":false,"usgs":false,"family":"Leicht-Young","given":"Stacey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":481453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":481451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":481452,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046824,"text":"70046824 - 2013 - TerraSAR-X interferometry reveals small-scale deformation associated with the summit eruption of Kilauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2018-10-30T08:58:34","indexId":"70046824","displayToPublicDate":"2013-07-26T15:17:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"TerraSAR-X interferometry reveals small-scale deformation associated with the summit eruption of Kilauea Volcano, Hawai‘i","docAbstract":"On 19 March 2008, a small explosive eruption at the summit of Kīlauea Volcano, Hawai‘i, heralded the formation of a new vent along the east wall of Halema‘uma‘u Crater. In the ensuing years, the vent widened due to collapses of the unstable rim and conduit wall; some collapses impacted an actively circulating lava pond and resulted in small explosive events. We used synthetic aperture radar data collected by the TerraSAR-X satellite, a joint venture between the German Aerospace Center (DLR) and EADS Astrium, to identify and analyze small-scale surface deformation around the new vent during 2008-2012. Lidar data were used to construct a digital elevation model to correct for topographic phase, allowing us to generate differential interferograms with a spatial resolution of about 3 m in Kīlauea's summit area. These interferograms reveal subsidence within about 100 m of the rim of the vent. Small baseline subset time series analysis suggests that the subsidence rate is not constant and, over time, may provide an indication of vent stability and potential for rim and wall collapse -- information with obvious hazard implications. The deformation is not currently detectable by other space- or ground-based techniques.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/grl.50286","usgsCitation":"Richter, N., Poland, M., and Lundgren, P.R., 2013, TerraSAR-X interferometry reveals small-scale deformation associated with the summit eruption of Kilauea Volcano, Hawai‘i: Geophysical Research Letters, v. 40, no. 7, p. 1279-1283, https://doi.org/10.1002/grl.50286.","productDescription":"5 p.","startPage":"1279","endPage":"1283","numberOfPages":"5","ipdsId":"IP-042377","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":275474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275473,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/grl.50286"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.5,19.166667 ], [ -155.5,19.5 ], [ -154.833333,19.5 ], [ -154.833333,19.166667 ], [ -155.5,19.166667 ] ] ] } } ] }","volume":"40","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-04-12","publicationStatus":"PW","scienceBaseUri":"51f38c5fe4b0a32220222f47","contributors":{"authors":[{"text":"Richter, Nichole","contributorId":40495,"corporation":false,"usgs":true,"family":"Richter","given":"Nichole","email":"","affiliations":[],"preferred":false,"id":480370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":480369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lundgren, Paul R.","contributorId":68199,"corporation":false,"usgs":true,"family":"Lundgren","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480371,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047226,"text":"70047226 - 2013 - Evaluation of the rhenium-osmium geochronometer in the Phosphoria petroleum system, Bighorn Basin of Wyoming and Montana, USA","interactions":[],"lastModifiedDate":"2019-09-19T08:26:42","indexId":"70047226","displayToPublicDate":"2013-07-26T08:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the rhenium-osmium geochronometer in the Phosphoria petroleum system, Bighorn Basin of Wyoming and Montana, USA","docAbstract":"Rhenium-osmium (Re-Os) geochronometry is applied to crude oils derived from the Permian Phosphoria Formation of the Bighorn Basin in Wyoming and Montana to determine whether the radiogenic age reflects the timing of petroleum generation, timing of migration, age of the source rock, or the timing of thermochemical sulfate reduction (TSR). The oils selected for this study are interpreted to be derived from the Meade Peak Phosphatic Shale and Retort Phosphatic Shale Members of the Phosphoria Formation based on oil-oil and oil-source rock correlations utilizing bulk properties, elemental composition, &delta;<sup>13</sup>C and &delta;<sup>34</sup>S values, and biomarker distributions. The &delta;<sup>34</sup>S values of the oils range from -6.2‰ to +5.7‰, with oils heavier than -2‰ interpreted to be indicative of TSR. The Re and Os isotope data of the Phosphoria oils plot in two general trends: (1) the main trend (n = 15 oils) yielding a Triassic age (239 &plusmn; 43 Ma) with an initial <sup>187</sup>Os/<sup>188</sup>Os value of 0.85 &plusmn; 0.42 and a mean square weighted deviation (MSWD) of 1596, and (2) the Torchlight trend (n = 4 oils) yielding a Miocene age (9.24 &plusmn; 0.39 Ma) with an initial 187Os/188Os value of 1.88 &plusmn; 0.01 and a MSWD of 0.05. The scatter (high MSWD) in the main-trend regression is due, in part, to TSR in reservoirs along the eastern margin of the basin. Excluding oils that have experienced TSR, the regression is significantly improved, yielding an age of 211 &plusmn; 21 Ma with a MSWD of 148. This revised age is consistent with some studies that have proposed Late Triassic as the beginning of Phosphoria oil generation and migration, and does not seem to reflect the source rock age (Permian) or the timing of re-migration (Late Cretaceous to Eocene) associated with the Laramide orogeny. The low precision of the revised regression (&plusmn;21 Ma) is not unexpected for this oil family given the long duration of generation from a large geographic area of mature Phosphoria source rock, and the possible range in the initial <sup>187</sup>Os/<sup>188</sup>Os values of the Meade Peak and Retort source units. Effects of re-migration may have contributed to the scatter, but thermal cracking and biodegradation likely have had minimal or no effect on the main-trend regression. The four Phosphoria-sourced oils from Torchlight and Lamb fields yield a precise Miocene age Re-Os isochron that may reflect the end of TSR in the reservoir due to cooling below a threshold temperature in the last 10 m.y. from uplift and erosion of overlying rocks.\n\nThe mechanism for the formation of a Re-Os isotopic relationship in a family of crude oils may involve multiple steps in the petroleum generation process. Bitumen generation from the source rock kerogen may provide a reset of the isotopic chronometer, and incremental expulsion of oil over the duration of the oil window may provide some of the variation seen in <sup>187</sup>Re/<sup>188</sup>Os values from an oil family.","language":"English","publisher":"Geochimica Cosmochimica Acta","doi":"10.1016/j.gca.2013.04.021","usgsCitation":"Lillis, P.G., and Selby, D., 2013, Evaluation of the rhenium-osmium geochronometer in the Phosphoria petroleum system, Bighorn Basin of Wyoming and Montana, USA: Geochimica et Cosmochimica Acta, v. 118, p. 312-330, https://doi.org/10.1016/j.gca.2013.04.021.","productDescription":"19 p.","startPage":"312","endPage":"330","numberOfPages":"19","ipdsId":"IP-040413","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":473648,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2013.04.021","text":"Publisher Index Page"},{"id":275422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275412,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2013.04.021"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Bighorn Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.9988,43.8562 ], [ -109.9988,44.9262 ], [ -106.7276,44.9262 ], [ -106.7276,43.8562 ], [ -109.9988,43.8562 ] ] ] } } ] }","volume":"118","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f38c5be4b0a32220222f17","chorus":{"doi":"10.1016/j.gca.2013.04.021","url":"http://dx.doi.org/10.1016/j.gca.2013.04.021","publisher":"Elsevier BV","authors":"Lillis Paul G., Selby David","journalName":"Geochimica et Cosmochimica Acta","publicationDate":"10/2013","auditedOn":"11/1/2014","publiclyAccessibleDate":"7/22/2013"},"contributors":{"authors":[{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":481458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":481459,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70118105,"text":"70118105 - 2013 - Evidence for deposition of 10 million tonnes of impact spherules across four continents 12,800 y ago","interactions":[],"lastModifiedDate":"2014-07-25T15:29:11","indexId":"70118105","displayToPublicDate":"2013-07-25T15:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for deposition of 10 million tonnes of impact spherules across four continents 12,800 y ago","docAbstract":"Airbursts/impacts by a fragmented comet or asteroid have been proposed at the Younger Dryas onset (12.80 ± 0.15 ka) based on identification of an assemblage of impact-related proxies, including microspherules, nanodiamonds, and iridium. Distributed across four continents at the Younger Dryas boundary (YDB), spherule peaks have been independently confirmed in eight studies, but unconfirmed in two others, resulting in continued dispute about their occurrence, distribution, and origin. To further address this dispute and better identify YDB spherules, we present results from one of the largest spherule investigations ever undertaken regarding spherule geochemistry, morphologies, origins, and processes of formation. We investigated 18 sites across North America, Europe, and the Middle East, performing nearly 700 analyses on spherules using energy dispersive X-ray spectroscopy for geochemical analyses and scanning electron microscopy for surface microstructural characterization. Twelve locations rank among the world’s premier end-Pleistocene archaeological sites, where the YDB marks a hiatus in human occupation or major changes in site use. Our results are consistent with melting of sediments to temperatures >2,200 °C by the thermal radiation and air shocks produced by passage of an extraterrestrial object through the atmosphere; they are inconsistent with volcanic, cosmic, anthropogenic, lightning, or authigenic sources. We also produced spherules from wood in the laboratory at >1,730 °C, indicating that impact-related incineration of biomass may have contributed to spherule production. At 12.8 ka, an estimated 10 million tonnes of spherules were distributed across ∼50 million square kilometers, similar to well-known impact strewnfields and consistent with a major cosmic impact event.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences of the United States of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","usgsCitation":"Wittke, J.H., Weaver, J., Bunch, T.E., Kennett, J.P., Kennett, D.J., Moore, A., Hillman, G.C., Tankersly, K.B., Goodyear, A.C., Moore, C.R., Daniel, I.R., Ray, J.H., Lopinot, N.H., Ferraro, D., Israde-Alcantara, I., Bischoff, J.L., DeCarli, P.S., Hermes, R.E., Kloosterman, J.B., Revay, Z., Howard, G.A., Kimbel, D.R., Kletetschka, G., Nabelek, L., Lipo, C.P., Sakai, S., West, A., and Firestone, R., 2013, Evidence for deposition of 10 million tonnes of impact spherules across four continents 12,800 y ago: Proceedings of the National Academy of Sciences of the United States of America, v. 110, no. 23, p. E2088-E2097.","productDescription":"10 p.","startPage":"E2088","endPage":"E2097","costCenters":[],"links":[{"id":291039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europe;Middle East;North America","volume":"110","issue":"23","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f29ae4b0bc0bec0a0494","contributors":{"authors":[{"text":"Wittke, James H.","contributorId":73928,"corporation":false,"usgs":true,"family":"Wittke","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":496344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weaver, James C.","contributorId":14308,"corporation":false,"usgs":true,"family":"Weaver","given":"James C.","affiliations":[],"preferred":false,"id":496328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunch, Ted E.","contributorId":101197,"corporation":false,"usgs":true,"family":"Bunch","given":"Ted","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennett, James P.","contributorId":52499,"corporation":false,"usgs":true,"family":"Kennett","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":496336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennett, Douglas J.","contributorId":106024,"corporation":false,"usgs":true,"family":"Kennett","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":496351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, Andrew","contributorId":101573,"corporation":false,"usgs":true,"family":"Moore","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":496350,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hillman, Gordon C.","contributorId":56164,"corporation":false,"usgs":true,"family":"Hillman","given":"Gordon","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":496338,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tankersly, Kenneth B.","contributorId":18284,"corporation":false,"usgs":true,"family":"Tankersly","given":"Kenneth","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":496330,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Goodyear, Albert C.","contributorId":13906,"corporation":false,"usgs":true,"family":"Goodyear","given":"Albert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":496327,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moore, Christopher R.","contributorId":26988,"corporation":false,"usgs":true,"family":"Moore","given":"Christopher","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":496331,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Daniel, I. Randolph Jr.","contributorId":91421,"corporation":false,"usgs":true,"family":"Daniel","given":"I.","suffix":"Jr.","email":"","middleInitial":"Randolph","affiliations":[],"preferred":false,"id":496348,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ray, Jack H.","contributorId":48884,"corporation":false,"usgs":true,"family":"Ray","given":"Jack","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":496334,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lopinot, Neal H.","contributorId":90654,"corporation":false,"usgs":true,"family":"Lopinot","given":"Neal","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":496347,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ferraro, David","contributorId":48885,"corporation":false,"usgs":true,"family":"Ferraro","given":"David","email":"","affiliations":[],"preferred":false,"id":496335,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Israde-Alcantara, Isabel","contributorId":82231,"corporation":false,"usgs":true,"family":"Israde-Alcantara","given":"Isabel","email":"","affiliations":[],"preferred":false,"id":496346,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bischoff, James L. jbischoff@usgs.gov","contributorId":1389,"corporation":false,"usgs":true,"family":"Bischoff","given":"James","email":"jbischoff@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":496324,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"DeCarli, Paul S.","contributorId":48111,"corporation":false,"usgs":true,"family":"DeCarli","given":"Paul","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":496333,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Hermes, Robert E.","contributorId":71901,"corporation":false,"usgs":true,"family":"Hermes","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496343,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Kloosterman, Johan B.","contributorId":37662,"corporation":false,"usgs":true,"family":"Kloosterman","given":"Johan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":496332,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Revay, Zsolt","contributorId":7202,"corporation":false,"usgs":true,"family":"Revay","given":"Zsolt","email":"","affiliations":[],"preferred":false,"id":496325,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Howard, George A.","contributorId":70302,"corporation":false,"usgs":true,"family":"Howard","given":"George","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496341,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Kimbel, David R.","contributorId":17542,"corporation":false,"usgs":true,"family":"Kimbel","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":496329,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Kletetschka, Gunther","contributorId":9978,"corporation":false,"usgs":true,"family":"Kletetschka","given":"Gunther","affiliations":[],"preferred":false,"id":496326,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Nabelek, Ladislav","contributorId":58201,"corporation":false,"usgs":true,"family":"Nabelek","given":"Ladislav","email":"","affiliations":[],"preferred":false,"id":496339,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Lipo, Carl P.","contributorId":78257,"corporation":false,"usgs":true,"family":"Lipo","given":"Carl","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":496345,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Sakai, Sachiko","contributorId":71488,"corporation":false,"usgs":true,"family":"Sakai","given":"Sachiko","email":"","affiliations":[],"preferred":false,"id":496342,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"West, Allen","contributorId":58579,"corporation":false,"usgs":true,"family":"West","given":"Allen","affiliations":[],"preferred":false,"id":496340,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Firestone, Richard B.","contributorId":55750,"corporation":false,"usgs":true,"family":"Firestone","given":"Richard B.","affiliations":[],"preferred":false,"id":496337,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70118061,"text":"70118061 - 2013 - Dating North America's oldest petroglyphs, Winnemucca Lake subbasin, Nevada","interactions":[],"lastModifiedDate":"2014-07-25T12:36:51","indexId":"70118061","displayToPublicDate":"2013-07-25T11:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2182,"text":"Journal of Archaeological Science","active":true,"publicationSubtype":{"id":10}},"title":"Dating North America's oldest petroglyphs, Winnemucca Lake subbasin, Nevada","docAbstract":"On the west side of the Winnemucca Lake subbasin, Nevada, distinctive deeply carved meter-scale petroglyphs are closely spaced, forming panels on boulder-sized surfaces of a partially collapsed tufa mound. The large, complex motifs at this side are formed by deeply carved lines and cupules. A carbonate crust deposited between 10 200 and 9800 calibrated years B.P. (ka) coats petroglyphs at the base of the mound between elevations of 1202 and 1206 m. Petroglyphs above the carbonate crust are carved into a branching form of carbonate that dates to 14.8 ka. Radiocarbon dates on a multiple-layered algal tufa on the east side of the basin, which formed at an elevation of 1205 m, as well as a sediment-core-based total inorganic carbon record for the period 17.0–9.5 ka indicate that water level in the Winnemucca Lake subbasin was constrained by spill over the Emerson Pass Sill (1207 m) for most of the time between 12.9 ± 0.3 and ≥9.2 ka. These and other data indicate that the lake in the Winnemucca Lake subbasin fell beneath its spill point between 14.8 and 13.2 ka and also between 11.3 and 10.5 ka (or between 11.5 and 11.1 ka), exposing the base of the collapsed tufa mound to petroglyph carving. The tufa-based 14C record supports decreased lake levels between 14.8–13.2 ka and 11.3–10.5 ka. Native American artifacts found in the Lahontan Basin date to the latter time interval. This does not rule out the possibility that petroglyph carving occurred between 14.8 and 13.2 ka when Pyramid Lake was relatively shallow and Winnemucca Lake had desiccated.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Archaeological Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jas.2013.06.022","usgsCitation":"Benson, L.V., Hattori, E., Southon, J., and Aleck, B., 2013, Dating North America's oldest petroglyphs, Winnemucca Lake subbasin, Nevada: Journal of Archaeological Science, v. 40, no. 12, p. 4466-4476, https://doi.org/10.1016/j.jas.2013.06.022.","productDescription":"11 p.","startPage":"4466","endPage":"4476","costCenters":[],"links":[{"id":291003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291002,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jas.2013.06.022"}],"country":"United States","state":"Nevada","otherGeospatial":"Winnemucca Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.595742,39.985197 ], [ -119.595742,40.258229 ], [ -119.083505,40.258229 ], [ -119.083505,39.985197 ], [ -119.595742,39.985197 ] ] ] } } ] }","volume":"40","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f29ae4b0bc0bec0a049c","contributors":{"authors":[{"text":"Benson, Larry V. lbenson@usgs.gov","contributorId":1655,"corporation":false,"usgs":true,"family":"Benson","given":"Larry","email":"lbenson@usgs.gov","middleInitial":"V.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":496210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hattori, E.M.","contributorId":48371,"corporation":false,"usgs":true,"family":"Hattori","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":496211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Southon, J.","contributorId":88922,"corporation":false,"usgs":true,"family":"Southon","given":"J.","affiliations":[],"preferred":false,"id":496212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aleck, B.","contributorId":100298,"corporation":false,"usgs":true,"family":"Aleck","given":"B.","email":"","affiliations":[],"preferred":false,"id":496213,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047185,"text":"sim3100 - 2013 - Reconnaissance geologic map of the Kuskokwim Bay region, southwest Alaska","interactions":[],"lastModifiedDate":"2022-04-15T21:26:29.556909","indexId":"sim3100","displayToPublicDate":"2013-07-24T09:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3100","title":"Reconnaissance geologic map of the Kuskokwim Bay region, southwest Alaska","docAbstract":"The rocks of the map area range from Proterozoic age metamorphic rocks of the Kanektok metamorphic complex (Kilbuck terrane) to Quaternary age mafic volcanic rocks of Nunivak Island. The map area encompasses much of the type area of the Togiak-Tikchik Complex. The geologic maps used to construct this compilation were, for the most part, reconnaissance studies done in the time period from the 1950s to 1990s. Pioneering work in the map area by J.M. Hoare and W.L. Coonrad forms the basis for much of this map, either directly or as the stepping off point for later studies compiled here.\n\nPhysiographically, the map area ranges from glaciated mountains, as much as 1,500 m high, in the Ahklun Mountains to the coastal lowlands of northern Bristol Bay and the Kuskokwim River delta. The mountains and the finger lakes (drowned fiords) on the east have been strongly affected by Pleistocene and Holocene glaciation.\n\nWithin the map area are a number of major faults. The Togiak-Tikchik Fault and its extension to the northeast, the Holitna Fault, are considered extensions of the Denali fault system of central Alaska. Other sub-parallel faults include the Golden Gate, Sawpit, Goodnews, and East Kulukak Faults. Northwest-trending strike-slip faults crosscut and offset northeast-trending fault systems.\n\nRocks of the area are assigned to a number of distinctive lithologic packages. Most distinctive among these packages are the high-grade metamorphic rocks of the Kanektok metamorphic complex or Kilbuck terrane, composed of a high-grade metamorphic orthogneiss core surrounded by greenschist and amphibolite facies schist, gneiss, and rare marble and quartzite. These rocks have yielded radiometric ages strongly suggestive of a 2.05 Ga emplacement age. Poorly known Paleozoic rocks, including Ordovician to Devonian and Permian limestone, are found east of the Kanektok metamorphic complex. A Triassic(?) ophiolite complex is on the southeast side of Kuskokwim Bay; otherwise only minor Triassic rock units are known. The most widespread rocks of the area are Jurassic and Early Cretaceous(?) volcanic and volcaniclastic rocks. The Kuskokwim Group flysch is restricted largely to the northeast part of the map area. It consists primarily of shelf and minor nearshore facies rocks. Primarily exposed in the lowlands west of the Ahklun Mountains, extensive latest Tertiary and Quaternary alkalic basalt flows and lesser pyroclastic rocks form much of the bedrock of the remaining area. On Saint Matthew Island, Cretaceous volcanic and pyroclastic rocks occur that are not found elsewhere within the map area. The Kuskokwim Group and older rocks, including on Saint Matthew Island, but not the Kanektok metamorphic complex, are intruded by widely dispersed Late Cretaceous and (or) Early Tertiary granitic rocks. Much of the lowland area is mantled by unconsolidated deposits that include glacial, alluvial and fluvial, marine, estuarine, and eolian deposits. These formed during several episodes of Quaternary glaciation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3100","usgsCitation":"Wilson, F.H., Hults, C.P., Mohadjer, S., and Coonrad, W.L., 2013, Reconnaissance geologic map of the Kuskokwim Bay region, southwest Alaska: U.S. Geological Survey Scientific Investigations Map 3100, Pamphlet: i, 45 p.; 1 Sheet: 50.00 × 46.06 inches, https://doi.org/10.3133/sim3100.","productDescription":"Pamphlet: i, 45 p.; 1 Sheet: 50.00 × 46.06 inches","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":275334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3100.PNG"},{"id":398879,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98678.htm"},{"id":275333,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3100/sim3100_map.pdf"},{"id":275331,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3100/"},{"id":275332,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3100/sim3100_pamphlet.pdf"}],"scale":"500000","country":"United States","state":"Alaska","otherGeospatial":"Kuskokwim Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -173.1231,\n              56.5\n            ],\n            [\n              -158,\n              56.5\n            ],\n            [\n              -158,\n              61\n            ],\n            [\n              -173.1231,\n              61\n            ],\n            [\n              -173.1231,\n              56.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e95de4b04309f4e38cf7","contributors":{"authors":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":481300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hults, Chad P. chults@usgs.gov","contributorId":1930,"corporation":false,"usgs":true,"family":"Hults","given":"Chad","email":"chults@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":481303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mohadjer, Solmaz","contributorId":61518,"corporation":false,"usgs":true,"family":"Mohadjer","given":"Solmaz","email":"","affiliations":[],"preferred":false,"id":481302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coonrad, Warren L.","contributorId":47481,"corporation":false,"usgs":true,"family":"Coonrad","given":"Warren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":481301,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046061,"text":"70046061 - 2013 - Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States","interactions":[],"lastModifiedDate":"2013-07-23T09:48:25","indexId":"70046061","displayToPublicDate":"2013-07-23T09:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States","docAbstract":"An approach is presented in this study to aid water-resource managers in characterizing streamflow alteration at ungauged rivers. Such approaches can be used to take advantage of the substantial amounts of biological data collected at ungauged rivers to evaluate the potential ecological consequences of altered streamflows. National-scale random forest statistical models are developed to predict the likelihood that ungauged rivers have altered streamflows (relative to expected natural condition) for five hydrologic metrics (HMs) representing different aspects of the streamflow regime. The models use human disturbance variables, such as number of dams and road density, to predict the likelihood of streamflow alteration. For each HM, separate models are derived to predict the likelihood that the observed metric is greater than (‘inflated’) or less than (‘diminished’) natural conditions. The utility of these models is demonstrated by applying them to all river segments in the South Platte River in Colorado, USA, and for all 10-digit hydrologic units in the conterminous United States. In general, the models successfully predicted the likelihood of alteration to the five HMs at the national scale as well as in the South Platte River basin. However, the models predicting the likelihood of diminished HMs consistently outperformed models predicting inflated HMs, possibly because of fewer sites across the conterminous United States where HMs are inflated. The results of these analyses suggest that the primary predictors of altered streamflow regimes across the Nation are (i) the residence time of annual runoff held in storage in reservoirs, (ii) the degree of urbanization measured by road density and (iii) the extent of agricultural land cover in the river basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/rra.2565","usgsCitation":"Eng, K., Carlisle, D.M., Wolock, D.M., and Falcone, J.A., 2013, Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States: River Research and Applications, v. 29, no. 6, p. 781-791, https://doi.org/10.1002/rra.2565.","productDescription":"10 p.","startPage":"781","endPage":"791","numberOfPages":"10","ipdsId":"IP-034661","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":275268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275267,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.2565"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.14,25.89 ], [ -125.14,49.11 ], [ -66.95,49.11 ], [ -66.95,25.89 ], [ -125.14,25.89 ] ] ] } } ] }","volume":"29","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-03-09","publicationStatus":"PW","scienceBaseUri":"51ef97d8e4b0b09fbe58f161","contributors":{"authors":[{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":478791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":478788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":478789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":614,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":478790,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046978,"text":"70046978 - 2013 - Petroleum system analysis of the Hunton Group in West Edmond field, Oklahoma","interactions":[],"lastModifiedDate":"2020-10-15T16:06:09.072336","indexId":"70046978","displayToPublicDate":"2013-07-22T15:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":701,"text":"American Association of Petroleum Geologists Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Petroleum system analysis of the Hunton Group in West Edmond field, Oklahoma","docAbstract":"<p class=\"abstractnoin\">West Edmond field, located in central Oklahoma, is one of the largest oil accumulations in the Silurian–Devonian Hunton Group in this part of the Anadarko Basin. Production from all stratigraphic units in the field exceeds 170 million barrels of oil (MMBO) and 400 billion cubic feet of gas (BCFG), of which approximately 60 MMBO and 100 BCFG have been produced from the Hunton Group. Oil and gas are stratigraphically trapped to the east against the Nemaha uplift, to the north by a regional wedge-out of Hunton strata, and by intraformational diagenetic traps. Hunton Group reservoirs are the Bois d'Arc and Frisco Limestones, with lesser production from the Chimneyhill subgroup, Haragan Shale, and Henryhouse Formation.</p><p>Hunton Group cores from three wells that were examined petrographically indicate that complex diagenetic relations influence permeability and reservoir quality. Greatest porosity and permeability are associated with secondary dissolution in packstones and grainstones, forming hydrocarbon reservoirs. The overlying Devonian–Mississippian Woodford Shale is the major petroleum source rock for the Hunton Group in the field, based on one-dimensional and four-dimensional petroleum system models that were calibrated to well temperature and Woodford Shale vitrinite reflectance data. The source rock is marginally mature to mature for oil generation in the area of the West Edmond field, and migration of Woodford oil and gas from deeper parts of the basin also contributed to hydrocarbon accumulation.</p>","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/12031212075","usgsCitation":"Gaswirth, S., and Higley, D.K., 2013, Petroleum system analysis of the Hunton Group in West Edmond field, Oklahoma: American Association of Petroleum Geologists Bulletin, v. 97, no. 7, p. 1163-1179, https://doi.org/10.1306/12031212075.","productDescription":"17 p.","startPage":"1163","endPage":"1179","ipdsId":"IP-033936","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":275244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"West Edmond Field","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.0025,33.6158 ], [ -103.0025,37.0023 ], [ -94.4307,37.0023 ], [ -94.4307,33.6158 ], [ -103.0025,33.6158 ] ] ] } } ] }","volume":"97","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee4659e4b00ffbed48f85d","contributors":{"authors":[{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":3109,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie B.","email":"sgaswirth@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":480787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480786,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046878,"text":"70046878 - 2013 - Seismic evidence for a slab tear at the Puerto Rico Trench","interactions":[],"lastModifiedDate":"2017-11-18T09:58:56","indexId":"70046878","displayToPublicDate":"2013-07-22T14:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Seismic evidence for a slab tear at the Puerto Rico Trench","docAbstract":"The fore-arc region of the northeast Caribbean plate north of Puerto Rico and the Virgin Islands has been the site of numerous seismic swarms since at least 1976. A 6 month deployment of five ocean bottom seismographs recorded two such tightly clustered swarms, along with additional events. Joint analyses of the ocean bottom seismographs and land-based seismic data reveal that the swarms are located at depths of 50–150 km. Focal mechanism solutions, found by jointly fitting P wave first-motion polarities and S/P amplitude ratios, indicate that the broadly distributed events outside the swarm generally have strike- and dip-slip mechanisms at depths of 50–100 km, while events at depths of 100–150 km have oblique mechanisms. A stress inversion reveals two distinct stress regimes: The slab segment east of 65°W longitude is dominated by trench-normal tensile stresses at shallower depths (50–100 km) and by trench-parallel tensile stresses at deeper depths (100–150 km), whereas the slab segment west of 65°W longitude has tensile stresses that are consistently trench normal throughout the depth range at which events were observed (50–100 km). The simple stress pattern in the western segment implies relatively straightforward subduction of an unimpeded slab, while the stress pattern observed in the eastern segment, shallow trench-normal tension and deeper trench-normal compression, is consistent with flexure of the slab due to rollback. These results support the hypothesis that the subducting North American plate is tearing at or near these swarms. The 35 year record of seismic swarms at this location and the recent increase in seismicity suggest that the tear is still propagating.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrb.50227","usgsCitation":"Meighan, H.E., Pulliam, J., ten Brink, U., and Lopez-Venegas, A.M., 2013, Seismic evidence for a slab tear at the Puerto Rico Trench: Journal of Geophysical Research B: Solid Earth, v. 118, no. 6, p. 2915-2923, https://doi.org/10.1002/jgrb.50227.","productDescription":"9 p.","startPage":"2915","endPage":"2923","ipdsId":"IP-045238","costCenters":[],"links":[{"id":473661,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50227","text":"Publisher Index Page"},{"id":275238,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50227"},{"id":275239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.9988,17.376 ], [ -67.9988,20.0042 ], [ -64.1962,20.0042 ], [ -64.1962,17.376 ], [ -67.9988,17.376 ] ] ] } } ] }","volume":"118","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-14","publicationStatus":"PW","scienceBaseUri":"51ee465be4b00ffbed48f87d","contributors":{"authors":[{"text":"Meighan, Hallie E.","contributorId":76208,"corporation":false,"usgs":true,"family":"Meighan","given":"Hallie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":480547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pulliam, Jay","contributorId":105621,"corporation":false,"usgs":true,"family":"Pulliam","given":"Jay","email":"","affiliations":[],"preferred":false,"id":480549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":480548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez-Venegas, Alberto M.","contributorId":32803,"corporation":false,"usgs":true,"family":"Lopez-Venegas","given":"Alberto","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480546,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046456,"text":"70046456 - 2013 - Partitioning of selected trace elements in coal combustion products from two coal-burning power plants in the United States","interactions":[],"lastModifiedDate":"2013-07-22T11:33:01","indexId":"70046456","displayToPublicDate":"2013-07-22T11:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Partitioning of selected trace elements in coal combustion products from two coal-burning power plants in the United States","docAbstract":"Samples of feed coal (FC), bottom ash (BA), economizer fly ash (EFA), and fly ash (FA) were collected from power plants in the Central Appalachian basin and Colorado Plateau to determine the partitioning of As, Cr, Hg, Pb, and Se in coal combustion products (CCPs). The Appalachian plant burns a high-sulfur (about 3.9 wt.%) bituminous coal from the Upper Pennsylvanian Pittsburgh coal bed and operates with electrostatic precipitators (ESPs), with flue gas temperatures of about 163 °C in the ESPs. At this plant, As, Pb, Hg, and Se have the greatest median concentrations in FA samples, compared to BA and EFA. A mass balance (not including the FGD process) suggests that the following percentages of trace elements are captured in FA: As (48%), Cr (58%), Pb (54%), Se (20%), and Hg (2%). The relatively high temperatures of the flue gas in the ESPs and low amounts of unburned C in FA (0.5% loss-on-ignition for FA) may have led to the low amount of Hg captured in FA.\n\nThe Colorado Plateau plant burns a blend of three low-S (about 0.74 wt.%) bituminous coals from the Upper Cretaceous Fruitland Formation and operates with fabric filters (FFs). Flue gas temperatures in the baghouses are about 104 °C. The elements As, Cr, Pb, Hg, and Se have the greatest median concentrations in the fine-grained fly ash product (FAP) produced by cyclone separators, compared to the other CCPs at this plant. The median concentration of Hg in FA (0.0983 ppm) at the Colorado Plateau plant is significantly higher than that for the Appalachian plant (0.0315 ppm); this higher concentration is related to the efficiency of FFs in Hg capture, the relatively low temperatures of flue gas in the baghouses (particularly in downstream compartments), and the amount of unburned C in FA (0.29% loss-on-ignition for FA).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Coal Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2012.08.010","usgsCitation":"Swanson, S.M., Engle, M.A., Ruppert, L.F., Affolter, R.H., and Jones, K.B., 2013, Partitioning of selected trace elements in coal combustion products from two coal-burning power plants in the United States: International Journal of Coal Geology, v. 113, p. 116-126, https://doi.org/10.1016/j.coal.2012.08.010.","productDescription":"11 p.","startPage":"116","endPage":"126","ipdsId":"IP-036330","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":275212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275211,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2012.08.010"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"113","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee4659e4b00ffbed48f859","chorus":{"doi":"10.1016/j.coal.2012.08.010","url":"http://dx.doi.org/10.1016/j.coal.2012.08.010","publisher":"Elsevier BV","authors":"Swanson Sharon M., Engle Mark A., Ruppert Leslie F., Affolter Ronald H., Jones Kevin B.","journalName":"International Journal of Coal Geology","publicationDate":"7/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Swanson, Sharon M. 0000-0002-4235-1736 smswanson@usgs.gov","orcid":"https://orcid.org/0000-0002-4235-1736","contributorId":590,"corporation":false,"usgs":true,"family":"Swanson","given":"Sharon","email":"smswanson@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Affolter, Ronald H. affolter@usgs.gov","contributorId":659,"corporation":false,"usgs":true,"family":"Affolter","given":"Ronald","email":"affolter@usgs.gov","middleInitial":"H.","affiliations":[{"id":165,"text":"Central Energy Resources Team","active":false,"usgs":true}],"preferred":false,"id":479672,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Kevin B. 0000-0002-6386-2623 kevinjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6386-2623","contributorId":565,"corporation":false,"usgs":true,"family":"Jones","given":"Kevin","email":"kevinjones@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479669,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047131,"text":"ds773 - 2013 - Archive of Digital boomer subbottom data collected during USGS cruises 99FGS01 and 99FGS02 offshore southeast and southwest Florida, July and November, 1999","interactions":[],"lastModifiedDate":"2013-07-22T10:29:03","indexId":"ds773","displayToPublicDate":"2013-07-22T10:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"773","title":"Archive of Digital boomer subbottom data collected during USGS cruises 99FGS01 and 99FGS02 offshore southeast and southwest Florida, July and November, 1999","docAbstract":"In July (19 - 26) and November (17 - 18) of 1999, the USGS, in cooperation with the Florida Geological Survey (FGS), conducted two geophysical surveys in: (1) the Atlantic Ocean offshore of Florida's east coast from Orchid to Jupiter, FL, and (2) the Gulf of Mexico offshore of Venice, FL. This report serves as an archive of unprocessed digital boomer subbottom data, trackline maps, navigation files, GIS files, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained (showing a relative increase in signal amplitude) digital images of the subbottom profiles are also provided.\n\nThe USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) assigns a unique identifier to each cruise or field activity. For example, identifiers 99FGS01 and 99FGS02 refer to field data collected in 1999 for cooperative work with the FGS. The numbers 01 and 02 indicate the data were collected during the first and second field activities for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity identification (ID).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds773","usgsCitation":"Forde, A.S., Dadisman, S.V., Wiese, D.S., and Phelps, D.C., 2013, Archive of Digital boomer subbottom data collected during USGS cruises 99FGS01 and 99FGS02 offshore southeast and southwest Florida, July and November, 1999: U.S. Geological Survey Data Series 773, HTML Document; 1 DVD, https://doi.org/10.3133/ds773.","productDescription":"HTML Document; 1 DVD","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1999-07-01","temporalEnd":"1999-11-30","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds773.PNG"},{"id":275202,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/773/"},{"id":275203,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/773/title.html"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.0,26.166667 ], [ -83.0,28.5 ], [ -79.833333,28.5 ], [ -79.833333,26.166667 ], [ -83.0,26.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee464ee4b00ffbed48f841","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":481144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phelps, Daniel C.","contributorId":88194,"corporation":false,"usgs":true,"family":"Phelps","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481146,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}