{"pageNumber":"92","pageRowStart":"2275","pageSize":"25","recordCount":36989,"records":[{"id":70043057,"text":"ofr20131006 - 2013 - A preliminary deposit model for lithium brines","interactions":[],"lastModifiedDate":"2016-08-31T12:38:24","indexId":"ofr20131006","displayToPublicDate":"2013-02-01T00:00:00","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":"2013-1006","title":"A preliminary deposit model for lithium brines","docAbstract":"<p>This report is part of an effort by the U.S. Geological Survey to update existing mineral deposit models and to develop new ones. The global transition away from hydrocarbons toward energy alternatives increases demand for many scarce metals. Among these is lithium, a key component of lithium-ion batteries for electric and hybrid vehicles. Lithium brine deposits account for about three-fourths of the world&rsquo;s lithium production. Updating an earlier deposit model, we emphasize geologic information that might directly or indirectly help in exploration for lithium brine deposits, or for assessing regions for mineral resource potential. Special attention is given to the best-known deposit in the world&mdash;Clayton Valley, Nevada, and to the giant Salar de Atacama, Chile.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131006","usgsCitation":"Bradley, D., Munk, L., Jochens, H., Hynek, S., and Labay, K., 2013, A preliminary deposit model for lithium brines: U.S. Geological Survey Open-File Report 2013-1006, iii, 6 p., https://doi.org/10.3133/ofr20131006.","productDescription":"iii, 6 p.","numberOfPages":"9","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":266894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1006.gif"},{"id":266892,"type":{"id":15,"text":"Index 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,{"id":70043058,"text":"ofr20131008 - 2013 - A preliminary deposit model for lithium-cesium-tantalum (LCT) pegmatites","interactions":[],"lastModifiedDate":"2016-12-21T09:41:03","indexId":"ofr20131008","displayToPublicDate":"2013-02-01T00:00:00","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":"2013-1008","title":"A preliminary deposit model for lithium-cesium-tantalum (LCT) pegmatites","docAbstract":"This report is part of an effort by the U.S. Geological Survey to update existing mineral deposit models and to develop new ones. We emphasize practical aspects of pegmatite geology that might directly or indirectly help in exploration for lithium-cesium-tantalum (LCT) pegmatites, or for assessing regions for pegmatite-related mineral resource potential. These deposits are an important link in the world’s supply chain of rare and strategic elements, accounting for about one-third of world lithium production, most of the tantalum, and all of the cesium.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131008","usgsCitation":"Bradley, D., and McCauley, A., 2013, A preliminary deposit model for lithium-cesium-tantalum (LCT) pegmatites (Version 1.0: February 1, 2013; Version 1.1: December 20, 2016): U.S. Geological Survey Open-File Report 2013-1008, iii, 7 p., https://doi.org/10.3133/ofr20131008.","productDescription":"iii, 7 p.","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":266897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1008/images/coverthb.jpg"},{"id":266895,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1008/"},{"id":266896,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1008/OF13-1008.pdf"},{"id":332288,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2013/1008/versionHist.txt","text":"Version History","size":"1.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2013-1008 Version History"}],"edition":"Version 1.0: February 1, 2013; Version 1.1: December 20, 2016","revisedDate":"2016-12-20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510ce3ede4b0ae2ee50d95e7","contributors":{"authors":[{"text":"Bradley, Dwight","contributorId":32641,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","affiliations":[],"preferred":false,"id":472880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCauley, Andrew","contributorId":48846,"corporation":false,"usgs":true,"family":"McCauley","given":"Andrew","affiliations":[],"preferred":false,"id":472881,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043046,"text":"ofr20101083K - 2013 - Seismicity of the Earth 1900–2010 Middle East and vicinity","interactions":[],"lastModifiedDate":"2014-01-30T13:53:25","indexId":"ofr20101083K","displayToPublicDate":"2013-01-31T00:00:00","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":"2010-1083","chapter":"K","title":"Seismicity of the Earth 1900–2010 Middle East and vicinity","docAbstract":"No fewer than four major tectonic plates (Arabia, Eurasia, India, and Africa) and one smaller tectonic block (Anatolia) are responsible for seismicity and tectonics in the Middle East and surrounding region. Geologic development of the region is a consequence of a number of first-order plate tectonic processes that include subduction, large-scale transform faulting, compressional mountain building, and crustal extension.  In the east, tectonics are dominated by the collision of the India plate with Eurasia, driving the uplift of the Himalaya, Karakorum, Pamir and Hindu Kush mountain ranges. Beneath the Pamir‒Hindu Kush Mountains of northern Afghanistan, earthquakes occur to depths as great as 200 km as a result of remnant lithospheric subduction. Along the western margin of the India plate, relative motions between India and Eurasia are accommodated by strike-slip, reverse, and oblique-slip faulting, resulting in the complex Sulaiman Range fold and thrust belt, and the major translational Chaman Fault in Afghanistan.  Off the south coasts of Pakistan and Iran, the Makran trench is the surface expression of active subduction of the Arabia plate beneath Eurasia. Northwest of this subduction zone, collision between the two plates forms the approximately 1,500-km-long fold and thrust belts of the Zagros Mountains, which cross the whole of western Iran and extend into northeastern Iraq.  Tectonics in the eastern Mediterranean region are dominated by complex interactions between the Africa, Arabia, and Eurasia plates, and the Anatolia block. Dominant structures in this region include: the Red Sea Rift, the spreading center between the Africa and Arabia plates; the Dead Sea Transform, a major strike-slip fault, also accommodating Africa-Arabia relative motions; the North Anatolia Fault, a right-lateral strike-slip structure in northern Turkey accommodating much of the translational motion of the Anatolia block westwards with respect to Eurasia and Africa; and the Cyprian Arc, a convergent boundary between the Africa plate to the south, and Anatolia Block to the north.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101083K","usgsCitation":"Jenkins, J., Turner, B., Turner, R., Hayes, G., Davies, S., Dart, R.L., Tarr, A.C., Villaseñor, A., and Benz, H.M., 2013, Seismicity of the Earth 1900–2010 Middle East and vicinity (Originally posted January 31, 2013; Revised January 28, 2014): U.S. Geological Survey Open-File Report 2010-1083, Map: 1 Sheet: 37 x 24 inches, https://doi.org/10.3133/ofr20101083K.","productDescription":"Map: 1 Sheet: 37 x 24 inches","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":266873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1083_k.jpg"},{"id":266871,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1083/k/"},{"id":266872,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1083/k/OF2010-1083-K.pdf"}],"otherGeospatial":"Middle East","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 72.0,16.0 ], [ 72.0,46.0 ], [ 84.0,46.0 ], [ 84.0,16.0 ], [ 72.0,16.0 ] ] ] } } ] }","edition":"Originally posted January 31, 2013; Revised January 28, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510b9280e4b0947afa3c8550","contributors":{"authors":[{"text":"Jenkins, Jennifer","contributorId":68186,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jennifer","affiliations":[],"preferred":false,"id":472837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Bethan","contributorId":97786,"corporation":false,"usgs":true,"family":"Turner","given":"Bethan","email":"","affiliations":[],"preferred":false,"id":472839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Rebecca","contributorId":38032,"corporation":false,"usgs":true,"family":"Turner","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":472836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":472835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davies, Sian","contributorId":87828,"corporation":false,"usgs":true,"family":"Davies","given":"Sian","affiliations":[],"preferred":false,"id":472838,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dart, Richard L. dart@usgs.gov","contributorId":1209,"corporation":false,"usgs":true,"family":"Dart","given":"Richard","email":"dart@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":472833,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tarr, Arthur C. atarr@usgs.gov","contributorId":1925,"corporation":false,"usgs":true,"family":"Tarr","given":"Arthur","email":"atarr@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":472834,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Villaseñor, Antonio","contributorId":100969,"corporation":false,"usgs":true,"family":"Villaseñor","given":"Antonio","affiliations":[],"preferred":false,"id":472840,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":472832,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70043042,"text":"ofr20131011 - 2013 - Digital data from the Great Sand Dunes airborne gravity gradient survey, south-central Colorado","interactions":[],"lastModifiedDate":"2013-01-31T15:23:16","indexId":"ofr20131011","displayToPublicDate":"2013-01-31T00:00:00","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":"2013-1011","title":"Digital data from the Great Sand Dunes airborne gravity gradient survey, south-central Colorado","docAbstract":"This report contains digital data and supporting explanatory files describing data types, data formats, and survey procedures for a high-resolution airborne gravity gradient (AGG) survey at Great Sand Dunes National Park, Alamosa and Saguache Counties, south-central Colorado. In the San Luis Valley, the Great Sand Dunes survey covers a large part of Great Sand Dunes National Park and Preserve. The data described were collected from a high-resolution AGG survey flown in February 2012, by Fugro Airborne Surveys Corp., on contract to the U.S. Geological Survey. Scientific objectives of the AGG survey are to investigate the subsurface structural framework that may influence groundwater hydrology and seismic hazards, and to investigate AGG methods and resolution using different flight specifications. Funding was provided by an airborne geophysics training program of the U.S. Department of Defense's Task Force for Business & Stability Operations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131011","usgsCitation":"Drenth, B., Abraham, J., Grauch, V.J., Labson, V., and Hodges, G., 2013, Digital data from the Great Sand Dunes airborne gravity gradient survey, south-central Colorado: U.S. Geological Survey Open-File Report 2013-1011, Report: iii, 5 p.; Appendix; Downloads Directory, https://doi.org/10.3133/ofr20131011.","productDescription":"Report: iii, 5 p.; Appendix; Downloads Directory","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":266868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1011.gif"},{"id":266864,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1011/"},{"id":266865,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1011/OF13-1011.pdf"},{"id":266866,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1011/downloads/Appendix.pdf"},{"id":266867,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1011/downloads/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.75,37.50 ], [ -105.75,38.00 ], [ -105.30,38.00 ], [ -105.30,37.50 ], [ -105.75,37.50 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510b925fe4b0947afa3c853b","contributors":{"authors":[{"text":"Drenth, B. J.","contributorId":49885,"corporation":false,"usgs":true,"family":"Drenth","given":"B. J.","affiliations":[],"preferred":false,"id":472827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abraham, J.D.","contributorId":20686,"corporation":false,"usgs":true,"family":"Abraham","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":472825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grauch, V. J. S. 0000-0002-0761-3489","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":34125,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"","middleInitial":"J. S.","affiliations":[],"preferred":false,"id":472826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labson, V.F.","contributorId":20506,"corporation":false,"usgs":true,"family":"Labson","given":"V.F.","email":"","affiliations":[],"preferred":false,"id":472824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodges, G.","contributorId":93354,"corporation":false,"usgs":true,"family":"Hodges","given":"G.","email":"","affiliations":[],"preferred":false,"id":472828,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043039,"text":"ofr20131001 - 2013 - Variability of oil and gas well productivities for continuous (unconventional) petroleum accumulations","interactions":[],"lastModifiedDate":"2013-01-31T13:23:59","indexId":"ofr20131001","displayToPublicDate":"2013-01-31T00:00:00","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":"2013-1001","title":"Variability of oil and gas well productivities for continuous (unconventional) petroleum accumulations","docAbstract":"Over the last decade, oil and gas well productivities were estimated using decline-curve analysis for thousands of wells as part of U.S. Geological Survey (USGS) studies of continuous (unconventional) oil and gas resources in the United States. The estimated ultimate recoveries (EURs) of these wells show great variability that was analyzed at three scales: within an assessment unit (AU), among AUs of similar reservoir type, and among groups of AUs with different reservoir types. Within a particular oil or gas AU (such as the Barnett Shale), EURs vary by about two orders of magnitude between the most productive wells and the least productive ones (excluding those that are dry and abandoned). The distributions of EURs are highly skewed, with most of the wells in the lower part of the range. Continuous AUs were divided into four categories based on reservoir type and major commodity (oil or gas): coalbed gas, shale gas, other low-permeability gas AUs (such as tight sands), and low-permeability oil AUs. Within each of these categories, there is great variability from AU to AU, as shown by plots of multiple EUR distributions. Comparing the means of each distribution within a category shows that the means themselves have a skewed distribution, with a range of approximately one to two orders of magnitude. A comparison of the three gas categories (coalbed gas, shale gas, and other low-permeability gas AUs) shows large overlap in the ranges of EUR distributions. Generally, coalbed gas AUs have lower EUR distributions, shale gas AUs have intermediate sizes, and the other low-permeability gas AUs have higher EUR distributions. The plot of EUR distributions for each category shows the range of variation among developed AUs in an appropriate context for viewing the historical development within a particular AU. The Barnett Shale is used as an example to demonstrate that dividing wells into groups by time allows one to see the changes in EUR distribution. Subdivision into groups can also be done by vertical versus horizontal wells, by length of horizontal completion, by distance to closest previously drilled well, by thickness of reservoir interval, or by any other variable for which one has or can calculate values for each well. The resulting plots show how one can subdivide the total range of productivity in shale-gas wells into smaller subsets that are more appropriate for use as analogs.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131001","collaboration":"<a href=\"http://store.usgs.gov/\" target=\"_blank\">Order a Plotter Print from the USGS Store</a>. From this link, you can search for and order a Print-on-Demand quadrangle(s).","usgsCitation":"Charpentier, R., and Cook, T.A., 2013, Variability of oil and gas well productivities for continuous (unconventional) petroleum accumulations: U.S. Geological Survey Open-File Report 2013-1001, 3 Sheets: 72 x 36, https://doi.org/10.3133/ofr20131001.","productDescription":"3 Sheets: 72 x 36","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":266853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1001.jpg"},{"id":266845,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1001/"},{"id":266847,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1001/OF13-1001_sheet1-508.pdf"},{"id":266849,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1001/OF13-1001_sheet2-508.pdf"},{"id":266850,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1001/OF13-1001_sheet3-508.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.9 ], [ 173.0,71.83 ], [ -66.95,71.83 ], [ -66.95,16.9 ], [ 173.0,16.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510b9281e4b0947afa3c8554","contributors":{"authors":[{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":472822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":472823,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043030,"text":"ofr20131019 - 2013 - Initial results from a reconnaissance of cyanobacteria and associated toxins in Illinois, August--October 2012","interactions":[],"lastModifiedDate":"2013-01-31T09:59:23","indexId":"ofr20131019","displayToPublicDate":"2013-01-31T00:00:00","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":"2013-1019","title":"Initial results from a reconnaissance of cyanobacteria and associated toxins in Illinois, August--October 2012","docAbstract":"Ten lakes and two rivers in Illinois were sampled in August–October 2012 to determine the concentrations and spatial distribution of cyanobacteria and associated cyanotoxins throughout the State. The reconnaissance was a collaborative effort of the U.S. Geological Survey and the Illinois Environmental Protection Agency. Sample results indicated that concentrations of both total cyanobacterial cells and microcystin were commonly at levels likely to result in adverse human health effects, according to World Health Organization guidance values. Concentrations generally decreased from August to October following precipitation events and lower temperatures.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131019","usgsCitation":"Terrio, P.J., Ostrodka, L.M., Loftin, K.A., Good, G., and Holland, T., 2013, Initial results from a reconnaissance of cyanobacteria and associated toxins in Illinois, August--October 2012: U.S. Geological Survey Open-File Report 2013-1019, 4 p., https://doi.org/10.3133/ofr20131019.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-08-01","temporalEnd":"2012-10-31","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":266789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1019.gif"},{"id":266787,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1019/"},{"id":266788,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1019/pdf/ofr2013-1019.pdf"}],"country":"United States","state":"Illinois","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.51,36.97 ], [ -91.51,42.51 ], [ -87.5,42.51 ], [ -87.5,36.97 ], [ -91.51,36.97 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510b927de4b0947afa3c8544","contributors":{"authors":[{"text":"Terrio, Paul J. 0000-0002-1515-9570 pjterrio@usgs.gov","orcid":"https://orcid.org/0000-0002-1515-9570","contributorId":3313,"corporation":false,"usgs":true,"family":"Terrio","given":"Paul","email":"pjterrio@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostrodka, Lenna M.","contributorId":6350,"corporation":false,"usgs":true,"family":"Ostrodka","given":"Lenna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":472801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Good, Gregg","contributorId":65356,"corporation":false,"usgs":true,"family":"Good","given":"Gregg","email":"","affiliations":[],"preferred":false,"id":472805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holland, Teri","contributorId":38448,"corporation":false,"usgs":true,"family":"Holland","given":"Teri","email":"","affiliations":[],"preferred":false,"id":472804,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043011,"text":"ofr20131007 - 2013 - Bedrock and surficial geologic map of the Satan Butte and Greasewood 7.5’ quadrangles, Navajo and Apache Counties, northern Arizona","interactions":[],"lastModifiedDate":"2023-06-05T15:53:46.651701","indexId":"ofr20131007","displayToPublicDate":"2013-01-30T00:00:00","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":"2013-1007","title":"Bedrock and surficial geologic map of the Satan Butte and Greasewood 7.5’ quadrangles, Navajo and Apache Counties, northern Arizona","docAbstract":"The geologic map of the Satan Butte and Greasewood 7.5’ quadrangles is the result of a cooperative effort of the U.S. Geological Survey (USGS) and the Navajo Nation to provide regional geologic information for management and planning officials. This map provides geologic information useful for range management, plant and animal studies, flood control, water resource investigations, and natural hazards associated with sand-dune mobility. The map provides connectivity to the regional geologic framework of the Grand Canyon area of northern Arizona. The map area encompasses approximately 314 km<sup>2</sup> (123 mi<sup>2</sup>) within Navajo and Apache Counties of northern Arizona and is bounded by lat 35°37'30\" to 35°30' N., long 109°45' to 110° W. The quadrangles lie within the southern Colorado Plateau geologic province and within the northeastern portion of the Hopi Buttes (Tsézhin Bií). Large ephemeral drainages, Pueblo Colorado Wash and Steamboat Wash, originate north of the map area on the Defiance Plateau and Balakai Mesa respectively. Elevations range from 1,930 m (6,330 ft) at the top of Satan Butte to about 1,787 m (5,860 ft) at Pueblo Colorado Wash where it exits the southwest corner of the Greasewood quadrangle. The only settlement within the map area is Greasewood, Arizona, on the north side of Pueblo Colorado Wash. Navajo Highway 15 crosses both quadrangles and joins State Highway 264 northwest of Ganado. Unimproved dirt roads provide access to remote parts of the Navajo Reservation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131007","collaboration":"Prepared in cooperation with the Navajo Nation","usgsCitation":"Amoroso, L., Priest, S.S., and Hiza-Redsteer, M., 2013, Bedrock and surficial geologic map of the Satan Butte and Greasewood 7.5’ quadrangles, Navajo and Apache Counties, northern Arizona: U.S. Geological Survey Open-File Report 2013-1007, 1 Sheet: 42.07 x 45.07; Pamphlet: iii, 24 p.; Readme; Metadata; GIS Database; Shapefiles, https://doi.org/10.3133/ofr20131007.","productDescription":"1 Sheet: 42.07 x 45.07; Pamphlet: iii, 24 p.; Readme; Metadata; GIS Database; Shapefiles","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":266763,"rank":8,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1007.png"},{"id":266759,"rank":7,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2013/1007/of2013-1007_readme.txt"},{"id":417739,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98121.htm","linkFileType":{"id":5,"text":"html"}},{"id":266757,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1007/of2013-1007_map.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":266756,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1007/","linkFileType":{"id":5,"text":"html"}},{"id":266762,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1007/sbgw_shape.zip"},{"id":266761,"rank":2,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2013/1007/sbgw_db.zip"},{"id":266760,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2013/1007/of2013-1007_metadata.txt"},{"id":266758,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1007/of2013-1007_pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona","county":"Apache County, Navajo County","otherGeospatial":"Satan Butte and Greasewood 7.5’ quadrangles,","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110,\n              35.5\n            ],\n            [\n              -110,\n              35.625\n            ],\n            [\n              -109.75,\n              35.625\n            ],\n            [\n              -109.75,\n              35.5\n            ],\n            [\n              -110,\n              35.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510a40ece4b0de10a2aaab75","contributors":{"authors":[{"text":"Amoroso, Lee lamoroso@usgs.gov","contributorId":3069,"corporation":false,"usgs":true,"family":"Amoroso","given":"Lee","email":"lamoroso@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":472780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Priest, Susan S. spriest@usgs.gov","contributorId":30204,"corporation":false,"usgs":true,"family":"Priest","given":"Susan","email":"spriest@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":472781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hiza-Redsteer, Margaret","contributorId":77020,"corporation":false,"usgs":true,"family":"Hiza-Redsteer","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":472782,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042960,"text":"ofr20131009 - 2013 - Water-quality and flow data, Chulitna River basin, Southwest Alaska, October 2009-June 2012","interactions":[],"lastModifiedDate":"2013-01-29T13:39:59","indexId":"ofr20131009","displayToPublicDate":"2013-01-29T00:00:00","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":"2013-1009","title":"Water-quality and flow data, Chulitna River basin, Southwest Alaska, October 2009-June 2012","docAbstract":"The Chulitna River basin in southwest Alaska drains an area of about 1,160 square miles, with the lower 158 square miles of the basin in Lake Clark National Park and Preserve. Water from this basin influences Lake Clark ecosystems that support salmon that, in part, sustain the Bristol Bay fishery. An area of about 391 square miles in the upper part of the Chulitna River basin has been staked for mining development (1,670 claims), and a proposed large scale copper-gold-molybdenum mine (Pebble Mine) lies adjacent to the Chulitna River drainage. The U.S. Geological Survey in cooperation with the National Park Service conducted a water-quality assessment of the Chulitna River from October 2009 to June 2012. Discrete water-quality samples and continuous-records of dissolved oxygen, pH, specific conductance, turbidity, water-stage, and water temperature data were collected from the Chulitna River. In addition, four miscellaneous sites were visited five times during 2010–12 to measure flow and water-quality parameters.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131009","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Brabets, T.P., 2013, Water-quality and flow data, Chulitna River basin, Southwest Alaska, October 2009-June 2012: U.S. Geological Survey Open-File Report 2013-1009, vi, 30 p., https://doi.org/10.3133/ofr20131009.","productDescription":"vi, 30 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":266716,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1009/pdf/ofr20131009.pdf"},{"id":266717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1009.jpg"},{"id":266715,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1009/"}],"scale":"63360","projection":"Albers Equal-Area Conic projection","country":"United States","state":"Alaska","otherGeospatial":"Chulitna River;Lake Clark National Park And Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.25,59.5 ], [ -155.25,61.5 ], [ -152.75,61.5 ], [ -152.75,59.5 ], [ -155.25,59.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5108ef78e4b0d965cd9f22d8","contributors":{"authors":[{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":472667,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042985,"text":"ofr20131021 - 2013 - Groundwater quality in the Mohawk River Basin, New York, 2011","interactions":[],"lastModifiedDate":"2013-01-29T18:11:14","indexId":"ofr20131021","displayToPublicDate":"2013-01-29T00:00:00","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":"2013-1021","title":"Groundwater quality in the Mohawk River Basin, New York, 2011","docAbstract":"Water samples were collected from 21 production and domestic wells in the Mohawk River Basin in New York in July 2011 to characterize groundwater quality in the basin. The samples were collected and processed using standard U.S. Geological Survey procedures and were analyzed for 148 physiochemical properties and constituents, including dissolved gases, major ions, nutrients, trace elements, pesticides, volatile organic compounds (VOCs), radionuclides, and indicator bacteria. The Mohawk River Basin covers 3,500 square miles in New York and is underlain by shale, sandstone, carbonate, and crystalline bedrock. The bedrock is overlain by till in much of the basin, but surficial deposits of saturated sand and gravel are present in some areas. Nine of the wells sampled in the Mohawk River Basin are completed in sand and gravel deposits, and 12 are completed in bedrock. Groundwater in the Mohawk River Basin was typically neutral or slightly basic; the water typically was very hard. Bicarbonate, chloride, calcium, and sodium were the major ions with the greatest median concentrations; the dominant nutrient was nitrate. Methane was detected in 15 samples. Strontium, iron, barium, boron, and manganese were the trace elements with the highest median concentrations. Four pesticides, all herbicides or their degradates, were detected in four samples at trace levels; three VOCs, including chloroform and two solvents, were detected in four samples. The greatest radon-222 activity, 2,300 picocuries per liter, was measured in a sample from a bedrock well, but the median radon activity was higher in samples from sand and gravel wells than in samples from bedrock wells. Coliform bacteria were detected in five samples with a maximum of 92 colony-forming units per 100 milliliters. Water quality in the Mohawk River Basin is generally good, but concentrations of some constituents equaled or exceeded current or proposed Federal or New York State drinking-water standards. The standards exceeded are color (1 sample), pH (1 sample), sodium (9 samples), chloride (1 sample), sulfate (2 samples), dissolved solids (7 samples), aluminum (3 samples), iron (8 samples), manganese (6 samples), radon-222 (10 samples), and bacteria (5 samples). Fecal coliform bacteria and Escherichia coli (E. coli) were each detected in one sample. Concentrations of fluoride, nitrate, nitrite, antimony, arsenic, barium, beryllium, cadmium, chromium, copper, lead, mercury, selenium, silver, thallium, zinc, and uranium, and gross alpha activities, did not exceed existing drinking-water standards in any of the samples collected. Methane concentrations in two samples were greater than 28 milligrams per liter, and the maximum measured concentration was 44.3 milligrams per liter.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131021","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Nystrom, E.A., and Scott, T., 2013, Groundwater quality in the Mohawk River Basin, New York, 2011: U.S. Geological Survey Open-File Report 2013-1021, vi, 43 p., https://doi.org/10.3133/ofr20131021.","productDescription":"vi, 43 p.","startPage":"i","endPage":"43","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":266730,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1021/"},{"id":266732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1021.gif"},{"id":266731,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1021/pdf/OFR2013-1021_nystrom_508.pdf"}],"country":"United States","state":"New York","otherGeospatial":"Mohawk River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.76,40.48 ], [ -79.76,45.02 ], [ -71.86,45.02 ], [ -71.86,40.48 ], [ -79.76,40.48 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5108ef6ee4b0d965cd9f22b0","contributors":{"authors":[{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472739,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042953,"text":"ofr20131015 - 2013 - Obtaining and processing Daymet data using Python and ArcGIS","interactions":[],"lastModifiedDate":"2013-01-31T09:36:13","indexId":"ofr20131015","displayToPublicDate":"2013-01-29T00:00:00","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":"2013-1015","title":"Obtaining and processing Daymet data using Python and ArcGIS","docAbstract":"This set of scripts was developed to automate the process of downloading and mosaicking daily Daymet data to a user defined extent using ArcGIS and Python programming language. The three steps are downloading the needed Daymet tiles for the study area extent, converting the netcdf file to a tif raster format, and mosaicking those rasters to one file. The set of scripts is intended for all levels of experience with Python programming language and requires no scripting by the user.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131015","usgsCitation":"Bohms, S., 2013, Obtaining and processing Daymet data using Python and ArcGIS: U.S. Geological Survey Open-File Report 2013-1015, Report: iv, 2 p.; Downloads Directory, https://doi.org/10.3133/ofr20131015.","productDescription":"Report: iv, 2 p.; Downloads Directory","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":266711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1015.gif"},{"id":266786,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1015/downloads/"},{"id":266709,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1015/"},{"id":266710,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1015/ofr13_1015.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5108ef75e4b0d965cd9f22c8","contributors":{"authors":[{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":472662,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042867,"text":"ofr20131026 - 2013 - Abstracts for the October 2012 meeting on Volcanism in the American Southwest, Flagstaff, Arizona","interactions":[],"lastModifiedDate":"2013-01-29T16:29:22","indexId":"ofr20131026","displayToPublicDate":"2013-01-25T00:00:00","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":"2013-1026","title":"Abstracts for the October 2012 meeting on Volcanism in the American Southwest, Flagstaff, Arizona","docAbstract":"Though volcanic eruptions are comparatively rare in the American Southwest, the States of Arizona, Colorado, New Mexico, Nevada, and Utah host Holocene volcanic eruption deposits and are vulnerable to future volcanic activity. Compared with other parts of the western United States, comparatively little research has been focused on this area, and eruption probabilities are poorly constrained. Monitoring infrastructure consists of a variety of local seismic networks, and ”backbone“ geodetic networks with little integration. Emergency response planning for volcanic unrest has received little attention by either Federal or State agencies. On October 18–20, 2012, 90 people met at the U.S. Geological Survey campus in Flagstaff, Arizona, providing an opportunity for volcanologists, land managers, and emergency responders to meet, converse, and begin to plan protocols for any future activity. Geologists contributed data on recent findings of eruptive ages, eruption probabilities, and hazards extents (plume heights, ash dispersal). Geophysicists discussed evidence for magma intrusions from seismic, geodetic, and other geophysical techniques. Network operators publicized their recent work and the relevance of their equipment to volcanic regions. Land managers and emergency responders shared their experiences with emergency planning for earthquakes. The meeting was organized out of the recognition that little attention had been paid to planning for or mitigation of volcanic hazards in the American Southwest. Moreover, few geological meetings have hosted a session specifically devoted to this topic. This volume represents one official outcome of the meeting—a collection of abstracts related to talks and poster presentations shared during the first two days of the meeting. In addition, this report includes the meeting agenda as a record of the proceedings. One additional intended outcome will be greater discussion and coordination among emergency responders, geologists, geophysicists, and land managers regarding geologic hazards in the Southwest.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131026","usgsCitation":"Lowenstern, J.B., 2013, Abstracts for the October 2012 meeting on Volcanism in the American Southwest, Flagstaff, Arizona: U.S. Geological Survey Open-File Report 2013-1026, vii, 39 p., https://doi.org/10.3133/ofr20131026.","productDescription":"vii, 39 p.","startPage":"i","endPage":"39","numberOfPages":"49","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":619,"text":"Volcano Science Center-Menlo Park","active":false,"usgs":true}],"links":[{"id":266544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1026.gif"},{"id":266542,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1026/of2013-1026.pdf"},{"id":266543,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1026/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5104fae2e4b091226576e996","contributors":{"authors":[{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":472445,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042806,"text":"ofr20121170 - 2013 - Quaternary geologic map of the Shelby 1° x 2° quadrangle, Montana","interactions":[],"lastModifiedDate":"2013-01-24T11:41:10","indexId":"ofr20121170","displayToPublicDate":"2013-01-24T00:00:00","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":"2012-1170","title":"Quaternary geologic map of the Shelby 1° x 2° quadrangle, Montana","docAbstract":"The Shelby quadrangle encompasses approximately 16,084 km<sup>2</sup> (6,210 mi<sup>2</sup>). The northern boundary is the Montana/Saskatchewan (U.S./Canada) boundary. The quadrangle is in the Northern Plains physiographic province and it includes the Sweet Grass Hills. The primary river is the Marias River. The ancestral Missouri River was diverted south of the Bearpaw Mountains by a Laurentide ice sheet. The fill in the buried ancestral valleys of the Missouri River and Marias River in the southeast quarter of the quadrangle contains a complex stratigraphy of fluvial, glaciofluvial, ice-contact, glacial, lacustrine, and eolian deposits. The map units are surficial deposits and materials, not landforms. Deposits that comprise some constructional landforms (for example, ground-moraine deposits, end-moraine deposits, stagnation-moraine deposits, all composed of till) are distinguished for purposes of reconstruction of glacial history. Surficial deposits and materials are assigned to 21 map units on the basis of genesis, age, lithology or composition, texture or particle size, and other physical, chemical, and engineering characteristics. It is not a map of soils that are recognized in pedology or agronomy. Rather, it is a generalized map of soils recognized in engineering geology, or of substrata or parent materials in which pedologic or agronomic soils are formed. Glaciotectonic (ice-thrust) structures and deposits are mapped separately, represented by a symbol. On the glaciated plains, the surficial deposits are glacial, ice-contact, glaciofluvial, alluvial, lacustrine, eolian, colluvial, and mass-movement deposits. In the Sweet Grass Hills, beyond the limit of Quaternary glaciation they are fluvial, colluvial, and mass-movement deposits. Till of late Wisconsin age is represented by three map units. Tills of Illinoian and pre-Illinoian glaciations are not mapped, but are widespread in the subsurface. Linear ice-molded landforms (primarily drumlins) indicate directions of ice flow during late Wisconsin glaciation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121170","collaboration":"Prepared in cooperation with the Montana Bureau of Mines and Geology","usgsCitation":"Fullerton, D.S., Colton, R.B., and Bush, C.A., 2013, Quaternary geologic map of the Shelby 1° x 2° quadrangle, Montana: U.S. Geological Survey Open-File Report 2012-1170, Map: 1 Sheet: 47.74 x 36.22 inches; Downloads Directory, https://doi.org/10.3133/ofr20121170.","productDescription":"Map: 1 Sheet: 47.74 x 36.22 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":266408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1170.jpg"},{"id":266406,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1170/OFR12_1170_map.pdf"},{"id":266407,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1170/downloads/"},{"id":266405,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1170/"}],"scale":"250000","projection":"Transverse Mercator","datum":"North American Datum 1927","country":"United States","state":"Montana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0,48.0 ], [ -112.0,49.0 ], [ -110.0,49.0 ], [ -110.0,48.0 ], [ -112.0,48.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51026627e4b0d4f5ea817c4a","contributors":{"authors":[{"text":"Fullerton, David S. fullerton@usgs.gov","contributorId":448,"corporation":false,"usgs":true,"family":"Fullerton","given":"David","email":"fullerton@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":472307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colton, Roger B.","contributorId":17967,"corporation":false,"usgs":true,"family":"Colton","given":"Roger","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":472309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bush, Charles A. cbush@usgs.gov","contributorId":1258,"corporation":false,"usgs":true,"family":"Bush","given":"Charles","email":"cbush@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":472308,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042825,"text":"ofr20131010 - 2013 - Development of a database-driven system for simulating water temperature in the lower Yakima River main stem, Washington, for various climate scenarios","interactions":[],"lastModifiedDate":"2013-01-24T15:54:30","indexId":"ofr20131010","displayToPublicDate":"2013-01-24T00:00:00","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":"2013-1010","title":"Development of a database-driven system for simulating water temperature in the lower Yakima River main stem, Washington, for various climate scenarios","docAbstract":"A model for simulating daily maximum and mean water temperatures was developed by linking two existing models: one developed by the U.S. Geological Survey and one developed by the Bureau of Reclamation. The study area included the lower Yakima River main stem between the Roza Dam and West Richland, Washington. To automate execution of the labor-intensive models, a database-driven model automation program was developed to decrease operation costs, to reduce user error, and to provide the capability to perform simulations quickly for multiple management and climate change scenarios. Microsoft© SQL Server 2008 R2 Integration Services packages were developed to (1) integrate climate, flow, and stream geometry data from diverse sources (such as weather stations, a hydrologic model, and field measurements) into a single relational database; (2) programmatically generate heavily formatted model input files; (3) iteratively run water temperature simulations; (4) process simulation results for export to other models; and (5) create a database-driven infrastructure that facilitated experimentation with a variety of scenarios, node permutations, weather data, and hydrologic conditions while minimizing costs of running the model with various model configurations. As a proof-of-concept exercise, water temperatures were simulated for a \"Current Conditions\" scenario, where local weather data from 1980 through 2005 were used as input, and for \"Plus 1\" and \"Plus 2\" climate warming scenarios, where the average annual air temperatures used in the Current Conditions scenario were increased by 1degree Celsius (°C) and by 2°C, respectively. Average monthly mean daily water temperatures simulated for the Current Conditions scenario were compared to measured values at the Bureau of Reclamation Hydromet gage at Kiona, Washington, for 2002-05. Differences ranged between 1.9° and 1.1°C for February, March, May, and June, and were less than 0.8°C for the remaining months of the year. The difference between current conditions and measured monthly values for the two warmest months (July and August) were 0.5°C and 0.2°C, respectively. The model predicted that water temperature generally becomes less sensitive to air temperature increases as the distance from the mouth of the river decreases. As a consequence, the difference between climate warming scenarios also decreased. The pattern of decreasing sensitivity is most pronounced from August to October. Interactive graphing tools were developed to explore the relative sensitivity of average monthly and mean daily water temperature to increases in air temperature for model output locations along the lower Yakima River main stem.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131010","usgsCitation":"Voss, F., and Maule, A., 2013, Development of a database-driven system for simulating water temperature in the lower Yakima River main stem, Washington, for various climate scenarios: U.S. Geological Survey Open-File Report 2013-1010, iv, 20 p., https://doi.org/10.3133/ofr20131010.","productDescription":"iv, 20 p.","numberOfPages":"28","onlineOnly":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":266437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1010.jpg"},{"id":266435,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1010/"},{"id":266436,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1010/pdf/ofr20131010.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.67,46.00 ], [ -120.67,47.00 ], [ -119.00,47.00 ], [ -119.00,46.00 ], [ -120.67,46.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5102660ee4b0d4f5ea817bcb","contributors":{"authors":[{"text":"Voss, Frank","contributorId":71848,"corporation":false,"usgs":true,"family":"Voss","given":"Frank","affiliations":[],"preferred":false,"id":472340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maule, Alec","contributorId":50614,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","affiliations":[],"preferred":false,"id":472339,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042781,"text":"ofr20121268 - 2013 - Concentrations of elements in fish fillets, fish muscle plugs, and crayfish from the 2011 Missouri Department of Conservation general contaminant monitoring program","interactions":[],"lastModifiedDate":"2013-01-23T14:34:33","indexId":"ofr20121268","displayToPublicDate":"2013-01-23T00:00:00","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":"2012-1268","title":"Concentrations of elements in fish fillets, fish muscle plugs, and crayfish from the 2011 Missouri Department of Conservation general contaminant monitoring program","docAbstract":"This report presents the results of a contaminant monitoring survey conducted annually by the Missouri Department of Conservation to examine the levels of selected elemental contaminants in fish fillets, fish muscle plugs, and crayfish. Fillet samples of yellow bullhead (<i>Ameiurus natalis</i>), golden redhorse (<i>Moxostoma erythrurum</i>), longear sunfish (<i>Lepomis megalotis</i>), and channel catfish (<i>Ictalurus punctatus</i>) were collected from six sites as part of the Missouri Department of Conservation’s Fish Contaminant Monitoring Program. Fish dorsal muscle plugs were collected from largemouth bass (<i>Micropterus salmoides</i>) at eight of the sites, and crayfish from two sites. Following preparation and analysis of the samples, highlights of the data were as follows: cadmium and lead residues were most elevated in crayfish tissue samples from the Big River at Cherokee Landing, with 1 to 8 micrograms per gram dry weight and 22 to 45 micrograms per gram dry weight, respectively. Some dorsal muscle plugs from largemouth bass collected from Clearwater Lake, Lake St. Louis, Noblett Lake, Hazel Creek Lake, and Harrison County Lake contained mercury residues (1.7 to 4.7 micrograms per gram dry weight) that exceeded the U.S. Environmental Protection Agency Water Quality Criterion of 1.5 micrograms per gram dry weight of fish tissue (equivalent to 0.30 micrograms per gram wet weight).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121268","collaboration":"Prepared in collaboration with the Missouri Department of Conservation","usgsCitation":"May, T.W., Walther, M., Brumbaugh, W.G., and McKee, M., 2013, Concentrations of elements in fish fillets, fish muscle plugs, and crayfish from the 2011 Missouri Department of Conservation general contaminant monitoring program: U.S. Geological Survey Open-File Report 2012-1268, iv, 12 p., https://doi.org/10.3133/ofr20121268.","productDescription":"iv, 12 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":266316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1268.gif"},{"id":266314,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1268/"},{"id":266315,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1268/of12-1268.pdf"}],"country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.78,36.0 ], [ -95.78,40.6 ], [ -89.0,40.6 ], [ -89.0,36.0 ], [ -95.78,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51010683e4b033b1feeb2bcd","contributors":{"authors":[{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":472249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walther, Michael J. mwalther@usgs.gov","contributorId":2852,"corporation":false,"usgs":true,"family":"Walther","given":"Michael J.","email":"mwalther@usgs.gov","affiliations":[],"preferred":true,"id":472250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":472248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKee, Michael J.","contributorId":59527,"corporation":false,"usgs":true,"family":"McKee","given":"Michael J.","affiliations":[],"preferred":false,"id":472251,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042728,"text":"ofr20121103 - 2013 - Sea-floor character and geology off the entrance to the Connecticut River, northeastern Long Island Sound","interactions":[],"lastModifiedDate":"2025-04-10T15:34:37.436641","indexId":"ofr20121103","displayToPublicDate":"2013-01-22T00:00:00","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":"2012-1103","title":"Sea-floor character and geology off the entrance to the Connecticut River, northeastern Long Island Sound","docAbstract":"Datasets of gridded multibeam bathymetry and sidescan-sonar backscatter, together covering approximately 29.1 square kilometers, were used to interpret character and geology of the sea floor off the entrance to the Connecticut River in northeastern Long Island Sound. Although originally collected for charting purposes during National Oceanic and Atmospheric Administration hydrographic survey H12013, these acoustic data, sidescan-sonar imagery, and the sea-floor sampling and photography stations subsequently occupied to verify the acoustic data (1) show the composition and terrain of the seabed, (2) provide information on sediment transport and benthic habitat, and (3) are part of an expanding series of studies that provide a fundamental framework for research and resource management (for example, cables, pipelines, and dredging) activities in this major east coast estuary.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121103","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Energy and Environmental Protection. This report is available online and in DVD-ROM format, please see the <a href=\"http://pubs.usgs.gov/of/2012/1103/title_page.html\" target=\"_blank\">Title Page</a> for ordering information.","usgsCitation":"Poppe, L., McMullen, K.Y., Ackerman, S.D., Guberski, M.R., and Wood, D.A., 2013, Sea-floor character and geology off the entrance to the Connecticut River, northeastern Long Island Sound: U.S. Geological Survey Open-File Report 2012-1103, HTML Document; DVD-ROM, https://doi.org/10.3133/ofr20121103.","productDescription":"HTML Document; DVD-ROM","additionalOnlineFiles":"Y","temporalStart":"2009-01-01","temporalEnd":"2010-04-30","ipdsId":"IP-038026","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":266222,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1103/title_page.html"},{"id":266221,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1103/"},{"id":266223,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1103.jpg"}],"country":"United States","state":"Connecticut","otherGeospatial":"Long Island Sound","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-72.23953373392226, 41.257477963929766], [-72.2616062176059, 41.2505197132595], [-72.30125969120047, 41.242135591550266], [-72.30264278610832, 41.243105183856805], [-72.34099871705746, 41.23306705174212], [-72.34175442870804, 41.23685986870588], [-72.34318029974708, 41.237116525492915], [-72.34169739386641, 41.239241073341134], [-72.34179720483922, 41.26279646290539], [-72.3349672825625, 41.26291053258846], [-72.32448713042584, 41.25769184458568], [-72.31994200353903, 41.26233174313049], [-72.31992434310104, 41.26748757862366], [-72.31606023258531, 41.26815773801188], [-72.30677651279814, 41.274008517806045], [-72.2963380065483, 41.27672584324256], [-72.28628804529103, 41.2755722674148], [-72.2809552876052, 41.278766218542195], [-72.27057494644123, 41.281689254172086], [-72.25999498333181, 41.28070540315524], [-72.25751396772392, 41.282544776795525], [-72.25856911229289, 41.28355714523316], [-72.25407761852, 41.28528244919021], [-72.25305099137188, 41.28867602226312], [-72.24609274070156, 41.295163735490576], [-72.24294156570545, 41.295349098725694], [-72.24115922690669, 41.293424172823116], [-72.24289878957427, 41.28589557373709], [-72.24135884885214, 41.282416448401946], [-72.2428560134431, 41.281732030303196], [-72.2403892565456, 41.28057707476166], [-72.23986168426114, 41.27337642601468], [-72.2415584707976, 41.272535162101576], [-72.2387922809819, 41.27160834592631], [-72.24091682883005, 41.270496166515876], [-72.24120200303781, 41.26750183733393], [-72.23930559455596, 41.2665750211587], [-72.23953373392226, 41.257477963929766]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-72.34318029974708, 41.23306705174212, -72.2387922809819, 41.295349098725694], \"type\": \"Feature\", \"id\": \"3091977\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50fee5fae4b0fcbbbbab75f5","contributors":{"authors":[{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":2149,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":472120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMullen, Katherine Y. kmcmullen@usgs.gov","contributorId":24036,"corporation":false,"usgs":true,"family":"McMullen","given":"Katherine","email":"kmcmullen@usgs.gov","middleInitial":"Y.","affiliations":[],"preferred":false,"id":472123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":472121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guberski, Megan R.","contributorId":101541,"corporation":false,"usgs":true,"family":"Guberski","given":"Megan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":472124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, Douglas A.","contributorId":23415,"corporation":false,"usgs":true,"family":"Wood","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":472122,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70055864,"text":"ofr20131139 - 2013 - Hydrothermal alteration maps of the central and southern Basin and Range province of the United States compiled from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data","interactions":[],"lastModifiedDate":"2014-04-08T15:31:01","indexId":"ofr20131139","displayToPublicDate":"2013-01-21T11:54:00","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":"2013-1139","title":"Hydrothermal alteration maps of the central and southern Basin and Range province of the United States compiled from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data","docAbstract":"Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operator algorithms were used to map hydrothermally altered rocks in the central and southern parts of the Basin and Range province of the United States. The hydrothermally altered rocks mapped in this study include (1) hydrothermal silica-rich rocks (hydrous quartz, chalcedony, opal, and amorphous silica), (2) propylitic rocks (calcite-dolomite and epidote-chlorite mapped as separate mineral groups), (3) argillic rocks (alunite-pyrophyllite-kaolinite), and (4) phyllic rocks (sericite-muscovite). A series of hydrothermal alteration maps, which identify the potential locations of hydrothermal silica-rich, propylitic, argillic, and phyllic rocks on Landsat Thematic Mapper (TM) band 7 orthorectified images, and geographic information systems shape files of hydrothermal alteration units are provided in this study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131139","usgsCitation":"Mars, J.L., 2013, Hydrothermal alteration maps of the central and southern Basin and Range province of the United States compiled from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data (Originally posted November 21, 2013; Revised April 8, 2014): U.S. Geological Survey Open-File Report 2013-1139, Report: iv, 6 p.; 13 Maps: 52.00 x 52.00 inches; Downloads Directory, https://doi.org/10.3133/ofr20131139.","productDescription":"Report: iv, 6 p.; 13 Maps: 52.00 x 52.00 inches; Downloads Directory","numberOfPages":"11","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042460","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":279387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131139.jpg"},{"id":279069,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1139/"},{"id":279370,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3d.pdf"},{"id":279371,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3e.pdf"},{"id":279368,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3b.pdf"},{"id":279369,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3c.pdf"},{"id":279372,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3f.pdf"},{"id":279385,"type":{"id":23,"text":"Spatial Data"},"url":"https://mrdata.usgs.gov/surficial-mineralogy/ofr-2013-1139/"},{"id":279360,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2c.pdf"},{"id":279342,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1139/of2013-1139.pdf"},{"id":279358,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2a.pdf"},{"id":279356,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate1.pdf"},{"id":279359,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2b.pdf"},{"id":279367,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate3a.pdf"},{"id":279362,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2d.pdf"},{"id":279363,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2e.pdf"},{"id":279365,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1139/plates/of2013-1139_plate2f.pdf"}],"projection":"Universal Transverse Mercator projection, zone 11N","datum":"1927 North American Datum","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ] ] ] } } ] }","edition":"Originally posted November 21, 2013; Revised April 8, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528f53ffe4b0660d392bedf5","contributors":{"authors":[{"text":"Mars, John L. jmars@usgs.gov","contributorId":3428,"corporation":false,"usgs":true,"family":"Mars","given":"John","email":"jmars@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":486267,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042723,"text":"ofr20131022 - 2013 - Information to support to monitoring and habitat restoration on Ash Meadows National Wildlife Refuge","interactions":[],"lastModifiedDate":"2013-01-19T11:57:31","indexId":"ofr20131022","displayToPublicDate":"2013-01-19T00:00:00","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":"2013-1022","title":"Information to support to monitoring and habitat restoration on Ash Meadows National Wildlife Refuge","docAbstract":"The Ash Meadows National Wildlife Refuge staff focuses on improving habitat for the highest incidence of endemic species for an area of its size in the continental United States. Attempts are being made to restore habitat to some semblance of its pre-anthropogenic undisturbed condition, and to provide habitat conditions to which native plant and animal species have evolved. Unfortunately, restoring the Ash Meadows’ Oases to its pre-anthropogenic undisturbed condition is almost impossible. First, there are constraints on water manipulation because there are private holdings within the refuge boundary; second, there has been at least one species extinction—the Ash Meadows pool fish (<i>Empetrichthys merriami</i>). It is also quite possible that thermal endemic invertebrate species were lost before ever being described. Perhaps the primary obstacle to restoring Ash Meadows to its pre-anthropogenic undisturbed conditions is the presence of invasive species. However, invasive species, such as red swamp crayfish (<i>Procambarus clarki</i>) and western mosquitofish (<i>Gambusia affinis</i>), are a primary driving force in restoring Ash Meadows’ spring systems, because under certain habitat conditions they can all but replace native species. Returning Ash Meadows’ physical landscape to some semblance of its pre-anthropogenic undisturbed condition through natural processes may take decades. Meanwhile, the natural dissolution of concrete and earthen irrigation channels threatens to allow cattail marshes to flourish instead of spring-brooks immediately downstream of spring discharge. This successional stage favors non-native crayfish and mosquitofish over the native Amargosa pupfish (<i>Cyprinodon nevadensis</i>). Thus, restoration is needed to control non-natives and to promote native species, and without such intervention the probability of native fish reduction or loss, is anticipated. The four studies in this report are intended to provide information for restoring native fish habitat and for monitoring native fish populations in relation to restoration efforts on the Ash Meadows National Wildlife Refuge. There are no precise records on conditions of each of the spring systems prior to anthropogenic alteration; however, fostering conditions that favor native over non-natives will be key to habitat restoration. Information regarding native species carbon source is needed to create habitat that favors native species, thus habitat restoration fostering food stuff consumed by native species should be considered in restoration efforts. In compiling data for the first part of this report, we tracked carbon source for native and non-native species at four stations along the Jackrabbit Spring system. Thus, we were able to contrast carbon source in warm- and cool-water habitats. Habitat in Jackrabbit Spring was improved for native fishes in 2007. The second paper in this report focuses on native fish populations in Jackrabbit Spring system pre- and post-restoration. Much of the Ash Meadows Oases is marsh habitat where non-native red swamp crayfish and western mosquitofish are often abundant, to the detriment of non-natives. Because marsh habitat is broadly represented in the Ash Meadows landscape, establishing marsh habitat most conducive to the native fishes is important to the restoration effort, and the third paper addresses marsh habitat type with the relative abundance of fishes and crayfish. There are previous years of monitoring Ash Meadows’ native fish populations, but not all monitoring occurred at the same time of year. Desert-fish populations sometimes undergo seasonal fluctuation, so it might not be valid to compare population trends using difference seasons. For report four, we tracked a closed population of Amargosa pupfish (<i>Cyprinodon nevadensis</i>) year round to track seasonal trends. Knowledge of seasonal trends is important in tracking changes of populations pre- and post-restoration.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131022","usgsCitation":"Scoppettone, G.G., 2013, Information to support to monitoring and habitat restoration on Ash Meadows National Wildlife Refuge: U.S. Geological Survey Open-File Report 2013-1022, viii, 56 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20131022.","productDescription":"viii, 56 p.; col. ill.; maps (col.)","startPage":"i","endPage":"56","numberOfPages":"68","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":266019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1022.jpg"},{"id":266017,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1022/pdf/ofr20131022.pdf"},{"id":266018,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1022/"}],"country":"United States","state":"Nevada","otherGeospatial":"Ash Meadows National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.324209,36.410509 ], [ -116.324209,36.430513 ], [ -116.304201,36.430513 ], [ -116.304201,36.410509 ], [ -116.324209,36.410509 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50fbc063e4b09c29612f80b0","contributors":{"authors":[{"text":"Scoppettone, G. Gary","contributorId":61137,"corporation":false,"usgs":true,"family":"Scoppettone","given":"G.","email":"","middleInitial":"Gary","affiliations":[],"preferred":false,"id":472118,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042680,"text":"ofr20131016 - 2013 - Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California","interactions":[],"lastModifiedDate":"2013-01-17T11:03:32","indexId":"ofr20131016","displayToPublicDate":"2013-01-17T00:00:00","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":"2013-1016","title":"Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California","docAbstract":"The Merced River in the popular and picturesque eastern-most part of Yosemite Valley in Yosemite National Park, California, USA, has been extensively altered since the park was first conceived in 1864. Historical human trampling of streambanks has been suggested as the cause of substantial increases in stream width, and the construction of undersized stone bridges in the 1920s has been suggested as the major factor leading to an increase in overbank flooding due to deposition of bars and islands between the bridges. In response, the National Park Service at Yosemite National Park (YNP) requested a study of the hydraulic and geomorphic conditions affecting the most-heavily influenced part of the river, a 2.4-km reach in eastern Yosemite Valley extending from above the Tenaya Creek and Merced River confluence to below Housekeeping Bridge. As part of the study, present-day conditions were compared to historical conditions and several possible planning scenarios were investigated, including the removal of an elevated road berm and the removal of three undersized historic stone bridges identified by YNP as potential problems: Sugar Pine, Ahwahnee and Stoneman Bridges. This Open-File Report will be superseded at a later date by a Scientific Investigations Report. A two-dimensional hydrodynamic model, the USGS FaSTMECH (Flow and Sediment Transport with Morphological Evolution of Channels) model, within the USGS International River Interface Cooperative (iRIC) model framework, was used to compare the scenarios over a range of discharges with annual exceedance probabilities of 50-, 20-, 10-, and 5- percent. A variety of topographic and hydraulic data sources were used to create the input conditions to the hydrodynamic model, including aerial LiDAR (Light Detection And Ranging), ground-based LiDAR, total station survey data, and grain size data from pebble counts. A digitized version of a historical topographic map created by the USGS in 1919, combined with estimates of grain size, was used to simulate historical conditions, and the planning scenarios were developed by altering the present-day topography. Roughness was estimated independently of measured water-surface elevations by using the mapped grain-size data and the Keulegan relation of grain size to drag coefficient. The FaSTMECH hydrodynamic model was evaluated against measured water levels by using a 130.9 m<sup>3</sup> s<sup>-1</sup> flow (approximately a 33-percent annual exceedance probability flood) with 36 water-surface elevations measured by YNP personnel on June 8, 2010. This evaluation run had a root mean square error of 0.21 m between the simulated- and observed water-surface elevations (less than 10 percent of depth), though the observed water-surface elevations had relatively high variation due to the strong diurnal stage changes over the course of the 4.4-hour collection period, during which discharge varied by about 15 percent. There are presently no velocity data with which to test the model. A geomorphic assessment was performed that consisted of an estimate of the magnitude and frequency of bedload and suspended-sediment transport at “Tenaya Bar”, an important gravel-cobble bar located near the upstream end of the study site that determines the amount of flow across the floodplain at the Sugar Pine – Ahwahnee bend. An analysis of select repeat cross-sections collected by YNP since the late 1980s was done to investigate changes in channel cross-sectional area near the Tenaya Bar site. The results of the FaSTMECH models indicate that the maximum velocities in the present-day channel within the study reach are associated with Stoneman and Sugar Pine Bridges, at close to 3.0 m s<sup>-1</sup> for the 5-percent annual exceedance probability flood. The modeled maximum velocities at Ahwahnee Bridge are comparatively low, at between 1.5 and 2.0 m s<sup>-1</sup>, most likely due to the bridge's orientation parallel to down-valley floodplain flows. The results of the FaSTMECH models for the bridge removal scenarios indicate a reduction in average velocity at the bridge sites for the range of flows by approximately 23-38 percent (Sugar Pine Bridge), 32-42 percent (Ahwahnee Bridge), and 33-39 percent (Stoneman Bridge), though a side channel of concern to YNP management did not appear to be substantially affected by the removal scenarios. In comparison to the historical data, the FaSTMECH results suggest that flows for present-day conditions do not inundate the floodplain until between the 50- and 20-percent annual exceedance probability flood, whereas historically, a large portion of the floodplain was inundated during the 50-percent annual exceedance probability flood. Modeled maximum velocities in the present-day channel commonly exceed 2.0 m s<sup>-1</sup>, whereas with the historical scenario, modeled maximum in-channel velocities rarely exceeded 2.0 m s<sup>-1</sup>. The geomorphic analysis of the magnitude-frequency of bedload and suspended-sediment transport suggests that at the important Tenaya Bar site, the majority of bed sediment is mobile during most snowmelt-dominated floods. In contrast to sediment transport capacity, the analysis of repeat cross-sections suggests that bedload sediment supply into the eastern Yosemite Valley may be quite different between rain-on-snow floods and snowmelt-dominated floods, potentially with most sediment supply occurring during rain-on-snow floods, such as the 1997 flood. In contrast, the magnitude-frequency analysis of bedload and suspended-sediment transport suggests that long-term bedload sediment transport is likely dominated by snowmelt floods, and suspended-sediment transport is relatively low compared to bedload transport. Obtaining measured velocity data throughout the study reach would aid in model calibration, and thus would improve confidence in model results. Improved confidence in the model velocity results would allow additional substantial analyses of reach-scale effects of the planning scenarios and would enable the development of geomorphic models to evaluate the long-term geomorphic responses of the site. In addition, the collection of watershed sediment-supply data, about which little is presently known, would give planners helpful tools to plan restoration scenarios for this nationally important river.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131016","usgsCitation":"Minear, J., and Wright, S., 2013, Hydraulic and Geomorphic Assessment of the Merced River and Historic Bridges in Eastern Yosemite Valley, Yosemite National Park, California: Sacramento, California: U.S. Geological Survey Open-File Report 2013-1016, ix, 79 p., https://doi.org/10.3133/ofr20131016.","productDescription":"ix, 79 p.","numberOfPages":"88","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1016.jpg"},{"id":265802,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1016/"},{"id":265803,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1016/pdf/ofr2013-1016.pdf"}],"country":"United States","state":"California","otherGeospatial":"Illilouette Creek;Tenaya Creek;Upper Merced;Yosemite Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.7,37.639 ], [ -119.7,37.816 ], [ -119.35,37.816 ], [ -119.35,37.639 ], [ -119.7,37.639 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6de4b0727905955f14","contributors":{"authors":[{"text":"Minear, J. Toby","contributorId":9938,"corporation":false,"usgs":true,"family":"Minear","given":"J. Toby","affiliations":[],"preferred":false,"id":472044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472043,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042412,"text":"ofr20061210 - 2013 - Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003","interactions":[],"lastModifiedDate":"2017-11-18T12:01:51","indexId":"ofr20061210","displayToPublicDate":"2013-01-07T00:00:00","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":"2006-1210","title":"Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003","docAbstract":"In 2002 and 2003, the U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises that mapped for the first time the morphology of the entire tectonic plate boundary stretching from the Dominican Republic in the west to the Lesser Antilles in the east, a distance of approximately 700 kilometers (430 miles). Observations from these three exploration cruises, coupled with computer modeling and published Global Positioning System (GPS) results and earthquake focal mechanisms, have provided new information that is changing the evaluation of the seismic and tsunami hazard from this plate boundary. The observations collected during these cruises also contributed to the basic understanding of the mechanisms that govern plate tectonics, in this case, the creation of the island of Puerto Rico and the deep trench north of it. Results of the sea floor mapping have been an important component of the study of tsunami and earthquake hazards to the northeastern Caribbean and the U.S. Atlantic coast off the United States.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061210","usgsCitation":"ten Brink, U., Danforth, W.W., and Polloni, C.F., 2013, Final report and archive of the swath bathymetry and ancillary data collected in the Puerto Rico Trench region in 2002 and 2003: U.S. Geological Survey Open-File Report 2006-1210, HTML Document, https://doi.org/10.3133/ofr20061210.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":265368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2006_1210.jpg"},{"id":265366,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1210/"},{"id":265367,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1210/title_page.html"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.25,17.88 ], [ -70.25,22.03 ], [ -59.4,22.03 ], [ -59.4,17.88 ], [ -70.25,17.88 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebee63e4b07f1501afcfac","contributors":{"authors":[{"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":471490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":471489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polloni, Christopher F.","contributorId":93087,"corporation":false,"usgs":true,"family":"Polloni","given":"Christopher","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":471491,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042371,"text":"ofr20121271 - 2013 - An automated digital imaging system for environmental monitoring applications","interactions":[],"lastModifiedDate":"2013-01-04T14:48:12","indexId":"ofr20121271","displayToPublicDate":"2013-01-04T00:00:00","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":"2012-1271","title":"An automated digital imaging system for environmental monitoring applications","docAbstract":"Recent improvements in the affordability and availability of high-resolution digital cameras, data loggers, embedded computers, and radio/cellular modems have advanced the development of sophisticated automated systems for remote imaging. Researchers have successfully placed and operated automated digital cameras in remote locations and in extremes of temperature and humidity, ranging from the islands of the South Pacific to the Mojave Desert and the Grand Canyon. With the integration of environmental sensors, these automated systems are able to respond to local conditions and modify their imaging regimes as needed. In this report we describe in detail the design of one type of automated imaging system developed by our group. It is easily replicated, low-cost, highly robust, and is a stand-alone automated camera designed to be placed in remote locations, without wireless connectivity.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121271","usgsCitation":"Bogle, R., Velasco, M., and Vogel, J., 2013, An automated digital imaging system for environmental monitoring applications: U.S. Geological Survey Open-File Report 2012-1271, vi, 18 p., https://doi.org/10.3133/ofr20121271.","productDescription":"vi, 18 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1271.gif"},{"id":265278,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1271/"},{"id":265279,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1271/of2012-1271.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e7f9e2e4b033ce2d2433e5","contributors":{"authors":[{"text":"Bogle, Rian rbogle@usgs.gov","contributorId":81378,"corporation":false,"usgs":true,"family":"Bogle","given":"Rian","email":"rbogle@usgs.gov","affiliations":[],"preferred":false,"id":471399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velasco, Miguel","contributorId":50214,"corporation":false,"usgs":true,"family":"Velasco","given":"Miguel","affiliations":[],"preferred":false,"id":471398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogel, John","contributorId":99825,"corporation":false,"usgs":true,"family":"Vogel","given":"John","affiliations":[],"preferred":false,"id":471400,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048976,"text":"ofr20121238 - 2012 - Water-quality and lake-stage data for Wisconsin lakes, water years 2008−2011","interactions":[],"lastModifiedDate":"2018-02-06T12:26:19","indexId":"ofr20121238","displayToPublicDate":"2016-09-30T14:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1238","title":"Water-quality and lake-stage data for Wisconsin lakes, water years 2008−2011","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with local and other agencies, collects data at selected lakes throughout Wisconsin. These data, accumulated over many years, provide a data base for developing an improved understanding of the water quality of lakes. To make these data available to interested parties outside the USGS, the data are published annually in this report series.</p><p>The purpose of this report is to provide information about the chemical and physical characteristics of Wisconsin lakes during water years 2008–2011. A water year is the 12-month period from October 1 through September 30. It is designated by the calendar year in which it ends. Thus, the period October 1, 2007 through September 30, 2008 is called \"water year 2008.\" Data that have been collected at specific lakes, and information to aid in the interpretation of those data, are presented in this report for water years from 2008–2011. Data collected include measurements of in-lake water quality and lake stage. Time series of Secchi depths, surface total phosphorus and chlorophyll <i>a </i>concentrations collected during non-frozen periods are included for all lakes. Graphs of vertical profiles of temperature, dissolved oxygen, pH, and specific conductance are included for sites where these parameters were measured. Descriptive information for each lake includes: location of the lake, area of the lake’s watershed, period for which data are available, revisions to previously published records, and pertinent remarks. Additional data, such as streamflow and water quality in tributary and outlet streams of some of the lakes, are available via the \"USGS Annual Water Data Report\" Web site: <a href=\"http://wdr.water.usgs.gov/\" data-mce-href=\"http://wdr.water.usgs.gov/\">http://wdr.water.usgs.gov/</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121238","collaboration":"Prepared in cooperation with the State of Wisconsin and with other agencies","usgsCitation":"Manteufel, S.B., Olson, D.L., Robertson, D.M., and Goddard, G.L., 2012, Water-quality and lake-stage data for Wisconsin lakes, water years 2008–2011: U.S. Geological Survey Open-File Report 2012–1238, 554 p., https://dx.doi.org/10.3133/ofr20121238.","productDescription":"558 p.","numberOfPages":"558","onlineOnly":"Y","ipdsId":"IP-042122","costCenters":[{"id":677,"text":"Wisconsin Water Science 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 \"}}]}","publicComments":"Previous citation: Manteufel, S.B., Olson, D.L., Robertson, D.M., and Goddard, G.L., 2012, Water-quality and lake-stage data for Wisconsin lakes, water years 2008–2011: U.S. Geological Survey Open-File Report 2012–1238, 554 p., http://wi.water.usgs.gov/pdf/USGS-OFR-2012-1238.pdf.<br>  <p>This report has previously been available from http://wi.water.usgs.gov/pdf/USGS-OFR-2012-1238.pdf. The report that had been available on that Web site had a different cover, title page, and information page.</p>","contact":"<p><a href=\"mailto\" data-mce-href=\"mailto\">Director</a>, Wisconsin Water Science Center<br> U.S. Geological Survey<br> 8505 Research Way<br> Middleton, WI 53562<br> <a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\">https://www.usgs.gov/centers/wisconsin-water-science-center</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Water Year 2008<br></li><li>Water Year 2009<br></li><li>Water Year 2010<br></li><li>Water Year 2011</li></ul>","publishedDate":"2016-09-30","noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"57f7f3a1e4b0bc0bec0a0ab6","contributors":{"authors":[{"text":"Manteufel, S. 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PRISM-II work resumed in 2011, and was completed in 2013 with the delivery of over 40 separate written reports and plates, an access file containing the Mauritanian National Mineral Deposits Database, and an interactive GIS containing all of the multi-disciplinary data and interpretive areas of mineral resource potential in Mauritania.</p>\n<p>This report contains the USGS results of the PRISM-II Mauritania Minerals Project and is presented in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania. The Report is composed of separate chapters consisting of multidisciplinary interpretive reports with accompanying plates on the geology, structure, geochronology, geophysics, hydrogeology, geochemistry, remote sensing (Landsat TM and ASTER), and SRTM and ASTER digital elevation models of Mauritania. The syntheses of these multidisciplinary data formed the basis for additional chapters containing interpretive reports on 12 different commodities and deposit types known to occur in Mauritania, accompanied by countrywide mineral resource potential maps of each commodity/deposit type. The commodities and deposit types represented include: (1) Ni, Cu, PGE, and Cr deposits hosted in ultramafic rocks; (2) orogenic, Carlin-like, and epithermal gold deposits; (3) polymetallic Pb-Zn-Cu vein deposits; (4) sediment-hosted Pb-Zn-Ag deposits of the SEDEX and Mississippi Valley-type; (5) sediment-hosted copper deposits; ( 6) volcanogenic massive sulfide deposits; (7) iron oxide copper-gold deposits; (8) uranium deposits; (9) Algoma-, Superior-, and oolitic-type iron deposits; (10) shoreline Ti-Zr placer deposits; (11) incompatible element deposits hosted in pegmatites, alkaline rocks, and carbonatites, and; (12) industrial mineral deposits. 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