{"pageNumber":"184","pageRowStart":"4575","pageSize":"25","recordCount":36989,"records":[{"id":79375,"text":"ofr20061346 - 2006 - Swath bathymetric survey of Englebright Lake, Yuba-Nevada Counties, California","interactions":[],"lastModifiedDate":"2014-10-09T15:41:14","indexId":"ofr20061346","displayToPublicDate":"2006-11-17T00:00:00","publicationYear":"2006","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":"2006-1346","title":"Swath bathymetric survey of Englebright Lake, Yuba-Nevada Counties, California","docAbstract":"<p>In March, 2004, the USGS conducted a swath bathymetric survey of Englebright Lake, a 9-mile long reservoir located in the Sierra Nevada foothills of northern California on the Yuba River. This survey was follow-on to an earlier bathymetric survey and sediment thickness analysis done by the USGS in 2001 (Childs and others, 2003). The primary purpose of these studies is to assess the quantity and nature of the sediment that has accumulated since the dam was completed in 1940. The specific purpose of the swath bathymetry was to map in high detail the prograding delta that is being formed as the lake fills in with sediment. In the event of another large flood such as occurred on January 1, 1997, the survey could be repeated to determine the effect of such an event on the sediment volume and distribution.</p>\n<br>\n<p>This study was conducted under the auspices of the Upper Yuba River Studies Program (UYRSP) . The UYRSP is funded by the CALFED Bay-Delta Program, whose mission is to \"develop and implement a long-term comprehensive plan that will restore ecological health and improve water management for beneficial uses of the San Francisco Bay-Delta System\".</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061346","usgsCitation":"Childs, J.R., and Stevenson, A.J., 2006, Swath bathymetric survey of Englebright Lake, Yuba-Nevada Counties, California: U.S. Geological Survey Open-File Report 2006-1346, HTML Document, https://doi.org/10.3133/ofr20061346.","productDescription":"HTML Document","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":194577,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20061346.PNG"},{"id":8876,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1346/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"Nevada County, Yuba County","otherGeospatial":"Englebright Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.27121,39.24487 ], [ -121.27121,39.29387 ], [ -121.21188,39.29387 ], [ -121.21188,39.24487 ], [ -121.27121,39.24487 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db687e8d","contributors":{"authors":[{"text":"Childs, Jonathan R. jchilds@usgs.gov","contributorId":3155,"corporation":false,"usgs":true,"family":"Childs","given":"Jonathan","email":"jchilds@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevenson, Andrew J.","contributorId":18830,"corporation":false,"usgs":true,"family":"Stevenson","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":289730,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79390,"text":"ofr20051429 - 2006 - South Carolina Coastal Erosion Study: Data report for observations, October 2003 - April 2004","interactions":[],"lastModifiedDate":"2025-05-09T01:20:48.580388","indexId":"ofr20051429","displayToPublicDate":"2006-11-17T00:00:00","publicationYear":"2006","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":"2005-1429","displayTitle":"South Carolina Coastal Erosion Study Data Report for Observations, October 2003 - April 2004","title":"South Carolina Coastal Erosion Study: Data report for observations, October 2003 - April 2004","docAbstract":"Oceanographic observations have been made at nine locations in Long Bay, South Carolina from October 2003 through April 2004. These sites are centered around a shore-oblique sand feature that is approximately 10 km long, 2 km wide, and in excess of 3 m thick. The observations were collected through a collaborative effort with the U.S. Geological Survey, the University of South Carolina, and Georgia Institute of Technology Savannah Campus as part of a larger study to understand the physical processes that control the transport of sediments in Long Bay.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20051429","usgsCitation":"South Carolina Coastal Erosion Study: Data report for observations, October 2003 - April 2004; 2006; OFR; 2005-1429; Sullivan, Charlene M.; Warner, John C.; Martini, Marinna A.; Voulgaris, George; Work, Paul A.; Haas, Kevin A.; Hanes, Daniel","productDescription":"HTML Document","temporalStart":"2003-10-01","temporalEnd":"2004-04-30","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":403099,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78444.htm","linkFileType":{"id":5,"text":"html"}},{"id":8890,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1429/"},{"id":192776,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2005/1429/coverthb.jpg"}],"country":"United States","state":"South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.3267822265625,\n              33.293803558346596\n            ],\n            [\n              -78.7115478515625,\n              33.293803558346596\n            ],\n            [\n              -78.7115478515625,\n              34.00258128543371\n            ],\n            [\n              -79.3267822265625,\n              34.00258128543371\n            ],\n            [\n              -79.3267822265625,\n              33.293803558346596\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishedDate":"2006-11-17","noUsgsAuthors":false,"publicationDate":"2006-11-17","publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e74d3","contributors":{"authors":[{"text":"Sullivan, Charlene M.","contributorId":16104,"corporation":false,"usgs":true,"family":"Sullivan","given":"Charlene","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":289763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":289764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Work, Paul 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":5576,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","affiliations":[],"preferred":false,"id":289762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haas, Kevin A.","contributorId":78027,"corporation":false,"usgs":true,"family":"Haas","given":"Kevin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289766,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanes, Daniel","contributorId":73691,"corporation":false,"usgs":true,"family":"Hanes","given":"Daniel","affiliations":[],"preferred":false,"id":289765,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":79330,"text":"ofr20061121 - 2006 - Surface-Water Quantity and Quality of the Upper Milwaukee River, Cedar Creek, and Root River Basins, Wisconsin, 2004","interactions":[],"lastModifiedDate":"2012-02-02T00:14:20","indexId":"ofr20061121","displayToPublicDate":"2006-11-16T00:00:00","publicationYear":"2006","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":"2006-1121","title":"Surface-Water Quantity and Quality of the Upper Milwaukee River, Cedar Creek, and Root River Basins, Wisconsin, 2004","docAbstract":"The U.S. Geological Survey, in cooperation with the Southeastern Wisconsin Regional Planning Commission (SEWRPC), collected discharge and water-quality data at nine sites in previously monitored areas of the upper Milwaukee River, Cedar Creek, and Root River Basins, in Wisconsin from May 1 through November 15, 2004. The data were collected for calibration of hydrological models that will be used to simulate how various management strategies will affect the water quality of streams. The data also will support SEWRPC and Milwaukee Metropolitan Sewerage District (MMSD) managers in development of the SEWRPC Regional Water Quality Management Plan and the MMSD 2020 Facilities Plan. These management plans will provide a scientific basis for future management decisions regarding development and maintenance of public and private waste-disposal systems.\r\n\r\nIn May 2004, parts of the study area received over 13 inches of precipitation (3.06 inches is normal). In June 2004, most of the study area received between 7 and 11 inches of rainfall (3.56 inches is normal). This excessive rainfall caused flooding throughout the study area and resultant high discharges were measured at all nine monitoring sites. For example, the mean daily discharge recorded at the Cedar Creek site on May 27, 2004, was 2,120 cubic feet per second. This discharge ranked ninth of the largest 10 mean daily discharges in the 75-year record, and was the highest discharge recorded since March 30, 1960. Discharge records from continuous monitoring on the Root River Canal near Franklin since October 1, 1963, indicated that the discharge recorded on May 23, 2004, ranked second highest on record, and was the highest discharge recorded since March 4, 1974.\r\n\r\nWater-quality samples were taken during two base-flow events and six storm events at each of the nine sites. Analysis of water-quality data indicated that most concentrations of dissolved oxygen, biological oxygen demand, fecal coliform bacteria, chloride, suspended solids, nitrate plus nitrite nitrogen, ammonia nitrogen, Kjeldahl nitrogen, total phosphorus, dissolved orthophosphorus, total copper, particulate mercury, dissolved mercury, particulate methylmercury, dissolved methylmercury, and total zinc were below U.S. Environmental Protection Agency (USEPA) and State of Wisconsin water-quality standards at all sites, with the exception of dissolved oxygen at the Kewaskum, Farmington, Root River Canal, Root River Racine, and Root River Mouth sites. Each of these sites had from several days to several weeks of daily average dissolved oxygen concentrations below the 5 milligrams per liter State of Wisconsin standard for aquatic life. The lowest dissolved oxygen concentrations were measured at the heavily urbanized Root River Mouth site in downtown Racine, Wisconsin, where elevated concentrations of ammonia may have contributed to oxygen consumption during oxidation of ammonia to nitrate. Additionally, the maximum concentrations of copper in several Root River samples exceeded draft USEPA Ambient Water-Quality Criteria (U.S. Environmental Protection Agency, 2003) for acute toxicity to several species of aquatic organisms.\r\n\r\nSubstantial water-quality changes were not correlated with hydrologic changes at any of the nine sites. Base-flow water-quality was generally indistinguishable from that sampled during storm events. The sparsely developed upper Milwaukee River and Cedar Creek Basins had relatively low ranges of contamination for all laboratory-reported parameters. For all nine sites, the highest reported concentrations of chloride (216 mg/L), total phosphorus (0.627 mg/L), ortho-phosphorus (0.136 mg/L), nitrate plus nitrate (9.32 mg/L), and copper (38 ?g/L) were reported for samples collected at the Root River Canal site. The highest concentrations of fecal coliforms (3,600 colonies per 100 mL) and Escherichia coli (2,300 colonies per 100 mL) were reported in samples collected at Kewaskum. The highest concentrations of s","language":"ENGLISH","doi":"10.3133/ofr20061121","usgsCitation":"Hall, D.W., 2006, Surface-Water Quantity and Quality of the Upper Milwaukee River, Cedar Creek, and Root River Basins, Wisconsin, 2004: U.S. Geological Survey Open-File Report 2006-1121, viii, 52 p.; 28 figs.; 14 tables, https://doi.org/10.3133/ofr20061121.","productDescription":"viii, 52 p.; 28 figs.; 14 tables","numberOfPages":"60","temporalStart":"2004-05-01","temporalEnd":"2004-11-15","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":194891,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8819,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1121/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae5e4b07f02db68acf3","contributors":{"authors":[{"text":"Hall, David W.","contributorId":39362,"corporation":false,"usgs":true,"family":"Hall","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":289672,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79331,"text":"ofr20061021 - 2006 - Surface-Water Quality-Assurance Plan for the Tallahassee Office, U.S. Geological Survey","interactions":[],"lastModifiedDate":"2012-02-02T00:14:10","indexId":"ofr20061021","displayToPublicDate":"2006-11-16T00:00:00","publicationYear":"2006","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":"2006-1021","title":"Surface-Water Quality-Assurance Plan for the Tallahassee Office, U.S. Geological Survey","docAbstract":"This Tallahassee Office Surface-Water Quality-Assurance Plan documents the standards, policies, and procedures used by the Tallahassee Office for activities related to the collection, processing, storage, analysis, and publication of surface-water data. This plan serves as a guide to all Tallahassee Office personnel involved in surface-water data activities, and changes as the needs and requirements of the Tallahassee Office, Florida Integrated Science Center, and Water Discipline change. Reg-ular updates to this Plan represent an integral part of the quality-assurance process. In the Tallahassee Office, direct oversight and responsibility by the employee(s) assigned to a surface-water station, combined with team approaches in all work efforts, assure high-quality data, analyses, reviews, and reports for cooperating agencies and the public.","language":"ENGLISH","doi":"10.3133/ofr20061021","usgsCitation":"Tomlinson, S.A., 2006, Surface-Water Quality-Assurance Plan for the Tallahassee Office, U.S. Geological Survey: U.S. Geological Survey Open-File Report 2006-1021, v, 40 p., https://doi.org/10.3133/ofr20061021.","productDescription":"v, 40 p.","numberOfPages":"45","costCenters":[],"links":[{"id":192349,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8820,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1021/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae5e4b07f02db68a93a","contributors":{"authors":[{"text":"Tomlinson, Stewart A.","contributorId":76002,"corporation":false,"usgs":true,"family":"Tomlinson","given":"Stewart","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289673,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79320,"text":"ofr20061342 - 2006 - Response to memorandum by Rowley and Dixon regarding U.S. Geological Survey report titled \"Characterization of Surface-Water Resources in the Great Basin National Park Area and Their Susceptibility to Ground-Water Withdrawals in Adjacent Valleys, White Pine County, Nevada\"","interactions":[],"lastModifiedDate":"2012-02-02T00:13:57","indexId":"ofr20061342","displayToPublicDate":"2006-11-16T00:00:00","publicationYear":"2006","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":"2006-1342","title":"Response to memorandum by Rowley and Dixon regarding U.S. Geological Survey report titled \"Characterization of Surface-Water Resources in the Great Basin National Park Area and Their Susceptibility to Ground-Water Withdrawals in Adjacent Valleys, White Pine County, Nevada\"","docAbstract":"Applications pending for permanent permits to pump large quantities of ground water in Spring and Snake Valleys adjacent to Great Basin National Park (the Park) prompted the National Park Service to request a study by the U.S. Geological Survey to evaluate the susceptibility of the Park's surface-water resources to pumping. The result of this study was published as U.S. Geological Survey Scientific Investigations Report 2006-5099 'Characterization of Surface-Water Resources in the Great Basin National Park Area and Their Susceptibility to Ground-Water Withdrawals in Adjacent Valleys, White Pine County, Nevada,' by P.E. Elliott, D.A. Beck, and D.E. Prudic. That report identified areas within the Park where surface-water resources are susceptible to ground-water pumping; results from the study showed that three streams and several springs near the eastern edge of the Park were susceptible. However, most of the Park's surface-water resources likely would not be affected by pumping because of either low-permeability rocks or because ground water is sufficiently deep as to not be directly in contact with the streambeds.\r\n\r\nA memorandum sent by Peter D. Rowley and Gary L. Dixon, Consulting Geologists, to the Southern Nevada Water Authority (SNWA) on June 29, 2006 was critical of the report. The memorandum by Rowley and Dixon was made available to the National Park Service, the U.S. Geological Survey, and the public during the Nevada State Engineer's 'Evidentiary Exchange' process for the recent hearing on applications for ground-water permits by SNWA in Spring Valley adjacent to Great Basin National Park. The U.S. Geological Survey was asked by the National Park Service to assess the validity of the concerns and comments contained in the Rowley and Dixon memorandum.\r\n\r\nAn Administrative Letter Report responding to Rowley and Dixon's concerns and comments was released to the National Park Service on October 30, 2006. The National Park Service subsequently requested that the contents with three minor changes to the Administrative Letter Report be released to the public. The first paragraph was revised to better explain how the memorandum was brought to the attention of the National Park Service and the U.S. Geological Survey and the purpose of the Administrative Letter Report. The second and third changes were minor word changes to the end of the first sentence at the top of page 11 and in the Summary statement, respectively. The Administrative Letter Report with these minor changes is reproduced herein.\r\n\r\nLastly, the National Park Service asked me to explain the difference between potentially and likely susceptible areas used in the report. Admittedly, the report did not clearly explain their usage. Potentially susceptible areas were used in the report to identify areas where (1) ground water interacts with water in the creeks but the connection between permeable rocks in the mountains with the basin fill is uncertain or where (2) ground-water interaction with water in the creeks is less certain but permeable rocks are connected with basin fill. Likely susceptible areas were used to identify areas in the mountains and valleys where ground-water interacts with water in the creeks or discharges as springs and permeable rocks are connected with basin fill. Likely susceptible areas are, therefore, more vulnerable to ground-water pumping.\r\n","language":"ENGLISH","doi":"10.3133/ofr20061342","usgsCitation":"Prudic, D.E., 2006, Response to memorandum by Rowley and Dixon regarding U.S. Geological Survey report titled \"Characterization of Surface-Water Resources in the Great Basin National Park Area and Their Susceptibility to Ground-Water Withdrawals in Adjacent Valleys, White Pine County, Nevada\": U.S. Geological Survey Open-File Report 2006-1342, 15 p., https://doi.org/10.3133/ofr20061342.","productDescription":"15 p.","numberOfPages":"15","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":191673,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8805,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1342/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db6975ae","contributors":{"authors":[{"text":"Prudic, David E. deprudic@usgs.gov","contributorId":3430,"corporation":false,"usgs":true,"family":"Prudic","given":"David","email":"deprudic@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289651,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79316,"text":"ofr20061215 - 2006 - Magnetotelluric Data, Rainier Mesa/Shoshone Mountain, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:14:20","indexId":"ofr20061215","displayToPublicDate":"2006-11-15T00:00:00","publicationYear":"2006","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":"2006-1215","title":"Magnetotelluric Data, Rainier Mesa/Shoshone Mountain, Nevada Test Site, Nevada","docAbstract":"Introduction: \r\nThe United States Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) at their Nevada Site Office (NSO) are addressing ground-water contamination resulting from historical underground nuclear testing through the Environmental Management (EM) program and, in particular, the Underground Test Area (UGTA) project.\r\n\r\nDuring 2005, the U.S. Geological Survey (USGS), in cooperation with the DOE and NNSA-NSO, collected and processed data from twenty-six magnetotelluric (MT) and audio-magnetotelluric (AMT) sites at the Nevada Test Site. The 2005 data stations were located on and near Rainier Mesa and Shoshone Mountain to assist in characterizing the pre-Tertiary geology in those areas. These new stations extend the area of the hydrogeologic study previously conducted in Yucca Flat. The MT data presented in this report will help refine what is known about the character, thickness, and lateral extent of pre Tertiary confining units. Subsequent interpretation will include a three dimensional (3 D) character analysis and a two-dimensional (2 D) resistivity model. The purpose of this report is to release the MT sounding data. No interpretation of the data is included here. \r\n","language":"ENGLISH","doi":"10.3133/ofr20061215","usgsCitation":"Williams, J.M., Sampson, J.A., Rodriguez, B.D., and Asch, T., 2006, Magnetotelluric Data, Rainier Mesa/Shoshone Mountain, Nevada Test Site, Nevada (Version 1.0): U.S. Geological Survey Open-File Report 2006-1215, iii, 243 p., https://doi.org/10.3133/ofr20061215.","productDescription":"iii, 243 p.","numberOfPages":"246","onlineOnly":"Y","costCenters":[],"links":[{"id":194890,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8799,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1215/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6493bf","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":289639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sampson, Jay A.","contributorId":13939,"corporation":false,"usgs":true,"family":"Sampson","given":"Jay","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":289638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":289641,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79315,"text":"ofr20061250 - 2006 - A USGS Zonal Table for the Upper Cretaceous Middle Cenomanian--Maastrichtian of the Western Interior of the United States Based on Ammonites, Inoceramids, and Radiometric Ages","interactions":[],"lastModifiedDate":"2012-02-02T00:14:15","indexId":"ofr20061250","displayToPublicDate":"2006-11-15T00:00:00","publicationYear":"2006","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":"2006-1250","title":"A USGS Zonal Table for the Upper Cretaceous Middle Cenomanian--Maastrichtian of the Western Interior of the United States Based on Ammonites, Inoceramids, and Radiometric Ages","docAbstract":"From the Introduction: \r\nThis provisional table is based mainly on the molluscan fossil record of the central and northern parts of the Western Interior of the United States. Some of the ammonite zones are known in Europe, such as Watinoceras devonense, Collignoniceras woollgari, Prionocyclus germari, Scaphites hippocrepis, Didymoceras stevensoni, and Didymoceras cheyennense, whereas more than one-half of the inoceramid zones are known also in Europe. A few of the ammonite zones are known from only a few localities, but the diagnostic species may occur in abundance. Among these are the zones of Acanthoceras granerosense, A. bellense, Dunveganoceras problematicum, Burroceras clydense, Watinoceras devonense, Collignoniceras praecox, and Scaphites mariasensis. All fossils listed in the table are in the national collection housed in Building 810 at the Federal Center, Denver, Colorado\r\n","language":"ENGLISH","doi":"10.3133/ofr20061250","usgsCitation":"Cobban, W., Walaszczyk, I., Obradovich, J.D., and McKinney, K.C., 2006, A USGS Zonal Table for the Upper Cretaceous Middle Cenomanian--Maastrichtian of the Western Interior of the United States Based on Ammonites, Inoceramids, and Radiometric Ages (Version 1.0): U.S. Geological Survey Open-File Report 2006-1250, ii, 45 p., https://doi.org/10.3133/ofr20061250.","productDescription":"ii, 45 p.","numberOfPages":"47","onlineOnly":"Y","costCenters":[],"links":[{"id":190631,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8798,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1250/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd496de4b0b290850ef292","contributors":{"authors":[{"text":"Cobban, William A.","contributorId":99529,"corporation":false,"usgs":true,"family":"Cobban","given":"William A.","affiliations":[],"preferred":false,"id":289637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walaszczyk, Ireneusz","contributorId":49055,"corporation":false,"usgs":true,"family":"Walaszczyk","given":"Ireneusz","email":"","affiliations":[],"preferred":false,"id":289635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obradovich, John D.","contributorId":84361,"corporation":false,"usgs":true,"family":"Obradovich","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":289636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKinney, Kevin C. kcmckinney@usgs.gov","contributorId":3406,"corporation":false,"usgs":true,"family":"McKinney","given":"Kevin","email":"kcmckinney@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":289634,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79317,"text":"ofr20061328 - 2006 - Reserve Growth in Oil Fields of West Siberian Basin, Russia","interactions":[],"lastModifiedDate":"2018-08-28T16:20:39","indexId":"ofr20061328","displayToPublicDate":"2006-11-15T00:00:00","publicationYear":"2006","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":"2006-1328","title":"Reserve Growth in Oil Fields of West Siberian Basin, Russia","docAbstract":"Although reserve (or field) growth has proven to be an important factor contributing to new reserves in mature petroleum basins, it is still a poorly understood phenomenon. Limited studies show that the magnitude of reserve growth is controlled by several major factors, including (1) the reserve booking and reporting requirements in each country, (2) improvements in reservoir characterization and simulation, (3) application of enhanced oil recovery techniques, and (4) the discovery of new and extensions of known pools in discovered fields. Various combinations of these factors can affect the estimates of proven reserves in particular fields and may dictate repeated estimations of reserves during a field's life. This study explores the reserve growth in the 42 largest oil fields in the West Siberian Basin, which contain about 55 percent of the basin's total oil reserves.\r\n\r\nThe West Siberian Basin occupies a vast swampy plain between the Ural Mountains and the Yenisey River, and extends offshore into the Kara Sea; it is the richest petroleum province in Russia. About 600 oil and gas fields with original reserves of 144 billion barrels of oil (BBO) and more than 1,200 trillion cubic feet of gas (TCFG) have been discovered. The principal oil reserves and most of the oil fields are in the southern half of the basin, whereas the northern half contains mainly gas reserves.\r\n\r\nSedimentary strata in the basin consist of Upper Triassic through Tertiary clastic rocks. Most oil is produced from Neocomian (Lower Cretaceous) marine to deltaic sandstone reservoirs, although substantial oil reserves are also in the marine Upper Jurassic and continental to paralic Lower to Middle Jurassic sequences. The majority of oil fields are in structural traps, which are gentle, platform-type anticlines with closures ranging from several tens of meters to as much as 150 meters (490 feet). Fields producing from stratigraphic traps are generally smaller except for the giant Talin field which contains oil in Jurassic river-valley sandstones. Principal source rocks are organic-rich marine shales of the Volgian (uppermost Jurassic) Bazhenov Formation, which is 30-50 m (98- 164 feet) thick. Bazhenov-derived oils are mostly of medium gravity, and contain 0.8-1.3 percent sulfur and 2-5 percent paraffin. Oils in the Lower to Middle Jurassic clastics were sourced from lacustrine and estuarine shales of the Toarcian Togur Bed. These oils are medium to low gravity, with low sulfur (less than 0.25 percent) and high paraffin (commonly to 10 percent) contents.\r\n\r\nAmong the 42 fields analyzed for reserve growth, 30 fields are located in the Middle Ob region, which includes the Samotlor field with reserves of more than 25 BBO and the Fedorov field with reserves of about 5 BBO. Data used in the study include year of discovery, year of first production, annual and cumulative production, and remaining reserves reported by Russian reserve categories (A+B+C1 and C2) in January of each year. Correlation of these Russian resource categories to U.S. categories of the Society of Petroleum Engineers classification is complex and somewhat uncertain.\r\n\r\nReserve growth in oil fields of West Siberia was calculated using a newly developed Group Growth method, which requires that the total reserve (proven reserve plus cumulative production) of individual fields with an equal length of reserve record be added together starting with discovery year or the first production year. Then the annual growth factor (AGF), which is the ratio of total reserves of two consecutive years, is calculated for all years. Once AGFs have been calculated, the cumulative growth factor (CGF) is calculated by multiplying the AGFs of all the previous years. The CGF data are used to develop reserve growth models.\r\n\r\nThe West Siberian oil fields show a 13-fold reserve growth 20 years after the discovery year and only about a 2-fold growth after the first production year. This difference is attributed to extensive exploration and field delineation activities between the discovery and the first production years. Because of uncertainty in the length of evaluation time and in reported reserves during this initial period, reserve growth based on the first production year is more reliable for model development. However, reserve growth models based both on discovery year and first production year show rapid growth in the first few years and slower growth in the following years. In contrast, the reserve growth patterns for the conterminous United States and offshore Gulf of Mexico show a steady reserve increase throughout the productive lives of the fields. The different reserve booking requirements and the lack of capital investment for improved reservoir management and production technologies in West Siberian fields relative to U.S. fields are the probable causes for the difference in growth patterns.\r\n\r\nReserve growth models based on the first production year predict that the reserve growth potential in the 42 largest oil fields of West Siberia over a five-year period (1998-2003) ranges from 270-330 million barrels or 0.34-0.42 percent per year. For a similar five-year period (1996-2001), models for the conterminous United States predict a growth of 0.54-0.75 percent per year.\r\n\r\nThis abstract presents the contents of a poster prepared for the AAPG Hedberg Research Conference on Understanding World Oil Resources, November 12-17, 2006 - Colorado Springs, Colorado. A paper 'Reserve Growth in Oil Fields of West Siberian Basin, Russia' was published in Natural Resources Research, v. 12, no. 2, June, 2003.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061328","usgsCitation":"Verma, M., and Ulmishek, G.F., 2006, Reserve Growth in Oil Fields of West Siberian Basin, Russia (Version 1.0): U.S. Geological Survey Open-File Report 2006-1328, 96.0 x 42.0 inches, https://doi.org/10.3133/ofr20061328.","productDescription":"96.0 x 42.0 inches","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":192544,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8800,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1328/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":356881,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1328/pdf/of06-1328poster.pdf","text":"Poster","size":"11 MB"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db61126f","contributors":{"authors":[{"text":"Verma, Mahendra K. mverma@usgs.gov","contributorId":1027,"corporation":false,"usgs":true,"family":"Verma","given":"Mahendra K.","email":"mverma@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":289642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ulmishek, Gregory F.","contributorId":48971,"corporation":false,"usgs":true,"family":"Ulmishek","given":"Gregory","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":289643,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79319,"text":"ofr20061309 - 2006 - Sources of High-Chloride Water to Wells, Eastern San Joaquin Ground-Water Subbasin, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:41","indexId":"ofr20061309","displayToPublicDate":"2006-11-15T00:00:00","publicationYear":"2006","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":"2006-1309","title":"Sources of High-Chloride Water to Wells, Eastern San Joaquin Ground-Water Subbasin, California","docAbstract":"As a result of pumping and subsequent declines in water levels, chloride concentrations have increased in water from wells in the Eastern San Joaquin Ground-Water Subbasin, about 80 miles east of San Francisco (Montgomery Watson, Inc., 2000). Water from a number of public-supply, agricultural, and domestic wells in the western part of the subbasin adjacent to the San Joaquin Delta exceeds the U.S. Environmental Protection Agency Secondary Maximum Contaminant Level (SMCL) for chloride of 250 milligrams per liter (mg/L) (fig. 1) (link to animation showing chloride concentrations in water from wells, 1984 to 2004). Some of these wells have been removed from service. High-chloride water from delta surface water, delta sediments, saline aquifers that underlie freshwater aquifers, and irrigation return are possible sources of high-chloride water to wells (fig. 2). It is possible that different sources contribute high-chloride water to wells in different parts of the subbasin or even to different depths within the same well.\r\n","language":"ENGLISH","doi":"10.3133/ofr20061309","usgsCitation":"Izbicki, J., Metzger, L.F., McPherson, K.R., Everett, R., and Bennett, G.L., 2006, Sources of High-Chloride Water to Wells, Eastern San Joaquin Ground-Water Subbasin, California: U.S. Geological Survey Open-File Report 2006-1309, 8 p., animation files, https://doi.org/10.3133/ofr20061309.","productDescription":"8 p., animation files","numberOfPages":"8","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":8804,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1309/","linkFileType":{"id":5,"text":"html"}},{"id":190659,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,37 ], [ -121,38 ], [ -121,38 ], [ -121,37 ], [ -121,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e7697","contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":289648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metzger, Loren F. 0000-0003-2454-2966 lmetzger@usgs.gov","orcid":"https://orcid.org/0000-0003-2454-2966","contributorId":1378,"corporation":false,"usgs":true,"family":"Metzger","given":"Loren","email":"lmetzger@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":289650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPherson, Kelly R. 0000-0002-2340-4142 krmcpher@usgs.gov","orcid":"https://orcid.org/0000-0002-2340-4142","contributorId":1376,"corporation":false,"usgs":true,"family":"McPherson","given":"Kelly","email":"krmcpher@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":289646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, George L. V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289647,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":79312,"text":"ofr20051298 - 2006 - Spatial and Temporal Migration Patterns of Neotropical Migrants in the Southwest Revealed by Stable Isotopes","interactions":[],"lastModifiedDate":"2017-11-25T13:43:47","indexId":"ofr20051298","displayToPublicDate":"2006-11-02T00:00:00","publicationYear":"2006","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":"2005-1298","title":"Spatial and Temporal Migration Patterns of Neotropical Migrants in the Southwest Revealed by Stable Isotopes","docAbstract":"Executive Summary\r\n\r\nWe used stable hydrogen isotopes (?D) to investigate both temporal and spatial patterns during spring migration for three warbler species, Wilson's Warbler (Wilsonia pusilla), MacGillivray's Warbler (Oporornis tolmiei), and Nashville Warbler (Vermivora ruficapilla), across multiple migration routes in southwest North America. A strong correlation between stable hydrogen isotope values of feathers and the local precipitation at sites where feathers where collected across the breeding range for all three species reaffirmed that stable hydrogen isotopes were a good predictor of breeding locations. For the Wilson's Warbler, we found a significant negative relationship between the date when warblers passed through the sampling station and ?D values of their feathers, indicating that warblers who bred the previous season at southern latitudes migrated through the migration stations earlier than did warblers that had previously bred at more northern latitudes. This pattern was consistent across their southwestern migration route (5 sites sampled) and was consistent between years. Comparing ?D values between migration stations also showed a shift towards more negative ?D values from the western to the eastern migration stations sampled in this study, which corresponded to different geographical regions of the Wilson's Warblers' western breeding range. For MacGillivray's Warbler we found the same temporal pattern as Wilson's Warbler, with warblers that bred the previous season at southern latitudes migrating through the migration stations earlier than warblers that had previously bred at more northern latitudes. This pattern was consistent at the Lower Colorado River and Arivaca Creek, the two sites where sample sizes were adequate to test these hypotheses. Comparison of the ?D between the two sites indicated that the majority of warblers migrating through these stations were breeding within a geographically limited area of MacGillivray's Warblers' overall breeding range. This is in contrast to the larger range of ?D values for Wilson's Warblers at these two sites, which corresponded to a broader area across their breeding range. Feathers were also collected across MacGillivray's Warblers' wintering range, and stable hydrogen isotope analysis indicated a significant positive relationship with wintering latitude. Because the ?D value of MacGillivray's Warblers' feathers reflects the ?D value of their breeding locations, with more negative values representing more northerly breeding latitudes, this positive relationship between feather ?D and wintering latitude indicated that warblers wintering at more southern latitudes bred at more northern latitudes. This supports a leapfrog migration system for MacGillivray's Warblers and is the first documentation of such a pattern. We did not find a temporal pattern to the spring migration of Nashville Warblers. This lack of temporal pattern could be due to the reduced size of the breeding and wintering ranges of Nashville Warblers, both of which could decrease the advantages of a temporal migration pattern. A small population of Nashville Warblers also breeds on the California coast and the sporadic nature of migration for Nashville Warblers in the southwest suggests that in some years more Nashville Warblers may winter along the California coast. The information in this study has increased our understanding of both spatial and temporal patterns of migration for three neotropical migrant birds and has important implications for understanding the ecology and evolution of migrants and factors influencing overall population dynamics.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20051298","collaboration":"Prepared in cooperation with the University of Arizona, School of Natural Resources","usgsCitation":"Paxton, K.L., and van Riper, C., 2006, Spatial and Temporal Migration Patterns of Neotropical Migrants in the Southwest Revealed by Stable Isotopes (Version 1.0): U.S. Geological Survey Open-File Report 2005-1298, x, 36 p., https://doi.org/10.3133/ofr20051298.","productDescription":"x, 36 p.","numberOfPages":"44","onlineOnly":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":194595,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10313,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1298/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db698691","contributors":{"authors":[{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":289629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":289630,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79311,"text":"ofr20061233 - 2006 - Inventory of amphibians and reptiles at Death Valley National Park","interactions":[],"lastModifiedDate":"2012-02-02T00:13:57","indexId":"ofr20061233","displayToPublicDate":"2006-11-02T00:00:00","publicationYear":"2006","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":"2006-1233","title":"Inventory of amphibians and reptiles at Death Valley National Park","docAbstract":"As part of the National Park Service Inventory and\r\nMonitoring Program in the Mojave Network, we conducted an\r\ninventory of amphibians and reptiles at Death Valley National\r\nPark in 2002-04. Objectives for this inventory were to: 1)\r\nInventory and document the occurrence of reptile and amphibian\r\nspecies occurring at DEVA, primarily within priority\r\nsampling areas, with the goal of documenting at least 90%\r\nof the species present; 2) document (through collection or\r\nmuseum specimen and literature review) one voucher specimen\r\nfor each species identified; 3) provide a GIS-referenced\r\nlist of sensitive species that are federally or state listed, rare,\r\nor worthy of special consideration that occur within priority\r\nsampling locations; 4) describe park-wide distribution of\r\nfederally- or state-listed, rare, or special concern species; 5)\r\nenter all species data into the National Park Service NPSpecies\r\ndatabase; and 6) provide all deliverables as outlined in the\r\nMojave Network Biological Inventory Study Plan. Methods\r\nincluded daytime and nighttime visual encounter surveys, road\r\ndriving, and pitfall trapping. Survey effort was concentrated\r\nin predetermined priority sampling areas, as well as in areas\r\nwith a high potential for detecting undocumented species. We\r\nrecorded 37 species during our surveys, including two species\r\nnew to the park. During literature review and museum specimen\r\ndatabase searches, we recorded three additional species\r\nfrom DEVA, elevating the documented species list to 40 (four\r\namphibians and 36 reptiles). Based on our surveys, as well\r\nas literature and museum specimen review, we estimate an\r\noverall inventory completeness of 92% for Death Valley and\r\nan inventory completeness of 73% for amphibians and 95%\r\nfor reptiles.\r\nKey Words: Amphibians, reptiles, Death Valley National\r\nPark, Inyo County, San Bernardino County, Esmeralda\r\nCounty, Nye County, California, Nevada, Mojave Desert,\r\nGreat Basin Desert, inventory, NPSpecies.","language":"ENGLISH","doi":"10.3133/ofr20061233","usgsCitation":"Persons, T.B., and Nowak, E., 2006, Inventory of amphibians and reptiles at Death Valley National Park: U.S. Geological Survey Open-File Report 2006-1233, iv, 32 p. : col. ill., col. maps ; 28 cm., https://doi.org/10.3133/ofr20061233.","productDescription":"iv, 32 p. : col. ill., col. maps ; 28 cm.","numberOfPages":"36","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":8795,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://sbsc.wr.usgs.gov/files/pdfs/ofr_2006-1233.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":191619,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48ece4b07f02db55633e","contributors":{"authors":[{"text":"Persons, Trevor B.","contributorId":96354,"corporation":false,"usgs":true,"family":"Persons","given":"Trevor","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":289628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowak, Erika M.","contributorId":14062,"corporation":false,"usgs":true,"family":"Nowak","given":"Erika M.","affiliations":[],"preferred":false,"id":289627,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79310,"text":"ofr20061183 - 2006 - Using packrat middens to assess how grazing influences vegetation change in Glen Canyon National Recreation Area, Utah","interactions":[],"lastModifiedDate":"2024-12-17T14:20:32.324373","indexId":"ofr20061183","displayToPublicDate":"2006-11-02T00:00:00","publicationYear":"2006","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":"2006-1183","title":"Using packrat middens to assess how grazing influences vegetation change in Glen Canyon National Recreation Area, Utah","docAbstract":"The fossil and sub-fossil plant macrofossils and pollen\r\ngrains found in packrat middens can serve as important proxies\r\nfor climate and vegetation change in the arid Southwestern\r\nUnited States. A new application for packrat midden research\r\nis in understanding post-settlement vegetation changes caused\r\nby the grazing of domesticated animals. This work examines\r\na series of 27 middens from Glen Canyon National Recreation\r\nArea (GLCA), spanning from 995 yr BP to the present, which\r\ndetail vegetation during the periods just prior to, and following,\r\nthe introduction of domesticated grazers. By comparing\r\nmiddens deposited before and after the start of grazing by\r\ndomesticated sheep and cattle, the effect on the native plant\r\ncommunities through time can be determined. This analysis of\r\nchange through time is augmented by measurements of change\r\nthrough space by contrasting contemporaneous middens from\r\nnearby similar grazed and ungrazed sites. These comparisons\r\nare only made possible by the presence of inaccessible\r\nungrazed areas surrounded by steep cliffs.\r\nMultivariate ordinations of the plant assemblages from\r\npackrat middens demonstrated that even though all middens\r\nwere selected from similar geologic substrates, soils, and\r\nvegetation type, their primary variability was site-to-site. This\r\nsuggests that selecting comparable grazed versus ungrazed\r\nstudy treatments would be difficult, and that two similar sites\r\nseveral kilometers apart should not be assumed to have been\r\nthe same prior to grazing without pre-grazing data. But, the\r\nchanges through time on grazed areas, as well as the differences\r\nbetween grazed and ungrazed areas in the diversity of\r\ncertain taxonomic groups, both suggest that grazing by domesticated\r\nungulates has had a noticeable effect on the vegetation.\r\nThe changes seen through time suggested that grazing lowered\r\nthe number of taxa recorded and lessened the pre-existing\r\ndifferences within sites, homogenizing the resultant plant\r\nassociations.\r\nLate Holocene pre-settlement middens, and modern\r\nmiddens from ungrazed areas, contained more native grasses, skunkbush sumac (Rhus trilobata), blackbrush (Coleogyne\r\nramosissima), winterfat (Krascheninnikovia lanata), Utah serviceberry\r\n(Amelanchier utahensis), and roundleaf buffaloberry\r\n(Shepherdia rotundifolia) than modern middens from grazed\r\nareas. Pollen data supported the macrofossil data, recording\r\ndecreases in pollen of the goosefoot family (Chenopodiaceae),\r\ngrass family (Poaceae), and globemallow (Sphaeralcea spp.)\r\nfrom pre- to post-settlement.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061183","usgsCitation":"Fisher, J.F., Cole, K.L., and Anderson, R.S., 2006, Using packrat middens to assess how grazing influences vegetation change in Glen Canyon National Recreation Area, Utah: U.S. Geological Survey Open-File Report 2006-1183, vi, 55 p., https://doi.org/10.3133/ofr20061183.","productDescription":"vi, 55 p.","numberOfPages":"61","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":194750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8794,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1183/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Utah","otherGeospatial":"Glen Canyon National Recreation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.31204963537535,\n              37.7008801723826\n            ],\n            [\n              -111.31204963537535,\n              37.12695480528001\n            ],\n            [\n              -110.52613833423678,\n              37.12695480528001\n            ],\n            [\n              -110.52613833423678,\n              37.7008801723826\n            ],\n            [\n              -111.31204963537535,\n              37.7008801723826\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602e8b","contributors":{"authors":[{"text":"Fisher, Jessica F.","contributorId":84464,"corporation":false,"usgs":true,"family":"Fisher","given":"Jessica","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":289626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, Kenneth L.","contributorId":48533,"corporation":false,"usgs":true,"family":"Cole","given":"Kenneth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":289625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, R. Scott","contributorId":47041,"corporation":false,"usgs":true,"family":"Anderson","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":289624,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79286,"text":"ofr20061293 - 2006 - Reconnaissance investigation of Caribbean extreme wave deposits — Preliminary observations, interpretations, and research directions","interactions":[],"lastModifiedDate":"2022-09-01T21:11:32.69718","indexId":"ofr20061293","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1293","title":"Reconnaissance investigation of Caribbean extreme wave deposits — Preliminary observations, interpretations, and research directions","docAbstract":"<p>&nbsp;This report presents an overview of preliminary geological investigations and recommended future research activities in the Caribbean region pertaining to coastal hazards with an emphasis on establishing tsunami risk for U.S. territories. Fieldwork was conducted in March 2006 on the islands of Bonaire, Puerto Rico, and Guadeloupe to evaluate the stratigraphic records of extreme wave deposits as possible indicators of paleotsunami recurrence. Morphological, sedimentological, and stratigraphic evidence indicate that shore-parallel coral rubble deposits composed of coarse clasts and sand that are 10s of meters wide and several meters thick are depositional complexes that have accumulated for a few centuries or millennia, and are not entirely the result of one or a few tsunamis as previously reported. The origins of boulder fields on elevated rock platforms of the Caribbean islands are more complicated than the origins of ridge complexes because boulder fields can be constructed by either storm waves or tsunamis. What is needed now for more conclusive interpretations is a systematic sedimentological approach to deposit analysis and a set of criteria for distinguishing between coarse clast storm and tsunami deposits. Assembling more field data from other Caribbean islands, analyzing stratigraphic deposits on Puerto Rico and Bonaire, and investigating boulder field deposits resulting from a historical tsunami can accomplish this. Also needed are improved sediment transport models for coarse clasts that can be used to estimate the competence and capacity of tsunamis and storms waves and to determine whether a deposit likely was created by a tsunami or extreme storm. Improved models may also be useful for reconstructing the magnitude of extreme wave events.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061293","usgsCitation":"Morton, R., Richmond, B.M., Jaffe, B.E., and Gelfenbaum, G., 2006, Reconnaissance investigation of Caribbean extreme wave deposits — Preliminary observations, interpretations, and research directions (Version 1.0): U.S. Geological Survey Open-File Report 2006-1293, ii, 41 p., https://doi.org/10.3133/ofr20061293.","productDescription":"ii, 41 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":324711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20061293.GIF"},{"id":406100,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78258.htm","linkFileType":{"id":5,"text":"html"}},{"id":8770,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1293/of2006-1293.pdf","text":"Report (low-resolution)","linkFileType":{"id":1,"text":"pdf"},"description":"low-resolution"},{"id":8769,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1293/of2006-1293-prn.pdf","text":"Report (high-resolution)","linkFileType":{"id":1,"text":"pdf"}}],"country":"Bonaire, Guadaloupe, United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -65.62408447265625,\n              18.393623895475336\n            ],\n            [\n              -65.63369750976561,\n              18.379288856877636\n            ],\n            [\n              -65.64605712890625,\n              18.38841129210483\n            ],\n            [\n              -65.6597900390625,\n              18.370165939044668\n            ],\n            [\n              -65.6817626953125,\n              18.376682358161855\n            ],\n            [\n              -65.70098876953125,\n              18.376682358161855\n            ],\n            [\n              -65.71334838867188,\n              18.393623895475336\n            ],\n            [\n              -65.72708129882811,\n              18.404048629104647\n            ],\n            [\n              -65.74081420898438,\n              18.391017613499066\n            ],\n            [\n              -65.75042724609374,\n              18.401442504848276\n            ],\n            [\n              -65.76416015625,\n              18.411866765202845\n            ],\n            [\n              -65.78750610351562,\n              18.427501971948608\n            ],\n            [\n              -65.79986572265625,\n              18.420987475159116\n            ],\n            [\n              -65.819091796875,\n              18.43141055157181\n            ],\n            [\n              -65.85479736328125,\n              18.43922744422912\n            ],\n            [\n              -65.87539672851561,\n              18.44443850847538\n            ],\n            [\n              -65.89324951171875,\n              18.45486016273484\n            ],\n            [\n              -65.91110229492188,\n              18.466583767647275\n            ],\n            [\n              -65.93307495117188,\n              18.4574654774732\n            ],\n            [\n              -65.97015380859375,\n              18.465281184428164\n            ],\n            [\n              -65.994873046875,\n              18.47179400162541\n            ],\n            [\n              -66.01272583007812,\n              18.46267598832466\n            ],\n            [\n              -66.03057861328125,\n              18.460070752671413\n            ],\n            [\n              -66.08139038085938,\n              18.474399059267128\n            ],\n            [\n              -66.12945556640625,\n              18.47570157324906\n            ],\n            [\n              -66.27090454101562,\n              18.487423753810972\n            ],\n            [\n              -66.412353515625,\n              18.499145132570302\n            ],\n            [\n              -66.43844604492188,\n              18.49393572991536\n            ],\n            [\n              -66.4508056640625,\n              18.47960905583197\n            ],\n            [\n              -66.4617919921875,\n              18.47960905583197\n            ],\n            [\n              -66.49337768554688,\n              18.483516449357992\n            ],\n            [\n              -66.55792236328125,\n              18.496540451048787\n            ],\n            [\n              -66.57302856445312,\n              18.492633354495656\n            ],\n            [\n              -66.60049438476562,\n              18.499145132570302\n            ],\n            [\n              -66.62933349609375,\n              18.503052080569763\n            ],\n            [\n              -66.66366577148438,\n              18.49393572991536\n            ],\n            [\n              -66.7034912109375,\n              18.487423753810972\n            ],\n            [\n              -66.73919677734375,\n              18.487423753810972\n            ],\n            [\n              -66.80374145507812,\n              18.504354376758428\n            ],\n            [\n              -66.88613891601562,\n              18.500447458475094\n            ],\n            [\n              -66.91909790039062,\n              18.497842796761336\n            ],\n            [\n              -66.96441650390625,\n              18.497842796761336\n            ],\n            [\n              -66.9891357421875,\n              18.509563462441516\n            ],\n            [\n              -67.01385498046875,\n              18.516074596589366\n            ],\n            [\n              -67.03720092773438,\n              18.5186789808691\n            ],\n            [\n              -67.06192016601562,\n              18.521283325496288\n            ],\n            [\n              -67.1044921875,\n              18.525189768078107\n            ],\n            [\n              -67.15255737304688,\n              18.514772389581292\n            ],\n            [\n              -67.18276977539062,\n              18.48481889407345\n            ],\n            [\n              -67.17727661132811,\n              18.46267598832466\n            ],\n            [\n              -67.16766357421875,\n              18.43922744422912\n            ],\n            [\n              -67.16629028320312,\n              18.42229039425597\n            ],\n            [\n              -67.21435546875,\n              18.40013942793085\n            ],\n            [\n              -67.24731445312499,\n              18.381895316197046\n            ],\n            [\n              -67.27340698242188,\n              18.375379094031814\n            ],\n            [\n              -67.269287109375,\n              18.346704792867193\n            ],\n            [\n              -67.25830078125,\n              18.325847765727083\n            ],\n            [\n              -67.24868774414062,\n              18.294557510034192\n            ],\n            [\n              -67.236328125,\n              18.28934191783107\n            ],\n            [\n              -67.21435546875,\n              18.288037995259646\n            ],\n            [\n              -67.203369140625,\n              18.282822206909543\n            ],\n            [\n              -67.181396484375,\n              18.22674258246203\n            ],\n            [\n              -67.16217041015625,\n              18.199348284607833\n            ],\n            [\n              -67.19100952148438,\n              18.177168793544702\n            ],\n            [\n              -67.19100952148438,\n              18.156291402835436\n            ],\n            [\n              -67.20062255859374,\n              18.105392315190315\n            ],\n            [\n              -67.21023559570312,\n              18.058395415674948\n            ],\n            [\n              -67.21298217773438,\n              18.025751281356246\n            ],\n            [\n              -67.18826293945312,\n              18.020527657852337\n            ],\n            [\n              -67.2088623046875,\n              18.007467921353\n            ],\n            [\n              -67.23220825195312,\n              17.98787650233009\n            ],\n            [\n              -67.21847534179688,\n              17.949993592489363\n            ],\n            [\n              -67.18414306640625,\n              17.921249418623304\n            ],\n            [\n              -67.16766357421875,\n              17.94607420730905\n            ],\n            [\n              -67.1319580078125,\n              17.936928637549443\n            ],\n            [\n              -67.07839965820312,\n              17.93823517645296\n            ],\n            [\n              -67.06878662109375,\n              17.959138486783935\n            ],\n            [\n              -67.03994750976562,\n              17.959138486783935\n            ],\n            [\n              -67.00424194335938,\n              17.95783210227242\n            ],\n            [\n              -66.97952270507812,\n              17.942154735291453\n            ],\n            [\n              -66.94656372070312,\n              17.92386271817638\n            ],\n            [\n              -66.91085815429688,\n              17.92386271817638\n            ],\n            [\n              -66.84494018554688,\n              17.94476772628429\n            ],\n            [\n              -66.78863525390625,\n              17.953912890815953\n            ],\n            [\n              -66.75430297851562,\n              17.973508079068797\n            ],\n            [\n              -66.67190551757812,\n              17.96305758238804\n            ],\n            [\n              -66.63894653320311,\n              17.969589215256942\n            ],\n            [\n              -66.60736083984375,\n              17.956525708106852\n            ],\n            [\n              -66.56204223632812,\n              17.955219304287816\n            ],\n            [\n              -66.50299072265625,\n              17.977426855928485\n            ],\n            [\n              -66.46865844726562,\n              17.983957957423037\n            ],\n            [\n              -66.41372680664062,\n              17.943461235611558\n            ],\n            [\n              -66.38763427734375,\n              17.926475979176438\n            ],\n            [\n              -66.33956909179688,\n              17.947380678685217\n            ],\n            [\n              -66.33407592773438,\n              17.959138486783935\n            ],\n            [\n              -66.30523681640625,\n              17.922556073218654\n            ],\n            [\n              -66.25717163085936,\n              17.904262032135396\n            ],\n            [\n              -66.16653442382812,\n              17.906875582164254\n            ],\n            [\n              -66.10885620117186,\n              17.93170238549813\n            ],\n            [\n              -66.08413696289062,\n              17.94868714041219\n            ],\n            [\n              -66.02783203125,\n              17.936928637549443\n            ],\n            [\n              -66.016845703125,\n              17.96305758238804\n            ],\n            [\n              -65.97427368164062,\n              17.95130003491612\n            ],\n            [\n              -65.89599609375,\n              17.97612060663762\n            ],\n            [\n              -65.85479736328125,\n              17.993101093517527\n            ],\n            [\n              -65.841064453125,\n              18.010079946089405\n            ],\n            [\n              -65.82321166992188,\n              18.027057163019663\n            ],\n            [\n              -65.8245849609375,\n              18.03880966203679\n            ],\n            [\n              -65.81771850585938,\n              18.053172761371034\n            ],\n            [\n              -65.80123901367188,\n              18.053172761371034\n            ],\n            [\n              -65.76828002929688,\n              18.105392315190315\n            ],\n            [\n              -65.7586669921875,\n              18.136716583015705\n            ],\n            [\n              -65.67901611328125,\n              18.16542556842076\n            ],\n            [\n              -65.57876586914061,\n              18.220220521532895\n            ],\n            [\n              -65.56915283203125,\n              18.256740912815104\n            ],\n            [\n              -65.54580688476562,\n              18.320633115866578\n            ],\n            [\n              -65.54306030273438,\n              18.367559302479307\n            ],\n            [\n              -65.57464599609375,\n              18.398836341154734\n            ],\n            [\n              -65.62408447265625,\n              18.393623895475336\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -61.568756103515625,\n              16.21863054208692\n            ],\n            [\n              -61.54266357421875,\n              16.03393499909524\n            ],\n            [\n              -61.66351318359374,\n              15.93624091410389\n            ],\n            [\n              -61.71157836914062,\n              15.930958794732728\n            ],\n            [\n              -61.76239013671875,\n              16.01809595866491\n            ],\n            [\n              -61.78298950195313,\n              16.05373203008907\n            ],\n            [\n              -61.791229248046875,\n              16.14741123415351\n            ],\n            [\n              -61.80633544921876,\n              16.221267800508993\n            ],\n            [\n              -61.8255615234375,\n              16.259504076471277\n            ],\n            [\n              -61.81182861328124,\n              16.34517902215026\n            ],\n            [\n              -61.76788330078125,\n              16.375485785675092\n            ],\n            [\n              -61.689605712890625,\n              16.354403317877185\n            ],\n            [\n              -61.58798217773438,\n              16.31223155482864\n            ],\n            [\n              -61.55502319335937,\n              16.3082774858912\n            ],\n            [\n              -61.55364990234374,\n              16.337272136282255\n            ],\n            [\n              -61.52481079101562,\n              16.363627177831876\n            ],\n            [\n              -61.53854370117187,\n              16.399200837347127\n            ],\n            [\n              -61.54815673828124,\n              16.455841761873106\n            ],\n            [\n              -61.53030395507812,\n              16.501932636066762\n            ],\n            [\n              -61.47674560546874,\n              16.524315671474778\n            ],\n            [\n              -61.43142700195312,\n              16.500615906214104\n            ],\n            [\n              -61.39160156249999,\n              16.45189060541708\n            ],\n            [\n              -61.38336181640624,\n              16.397883410219315\n            ],\n            [\n              -61.36962890625001,\n              16.34781457966891\n            ],\n            [\n              -61.30096435546875,\n              16.343861230057346\n            ],\n            [\n              -61.252899169921875,\n              16.3082774858912\n            ],\n            [\n              -61.21856689453124,\n              16.277960306212524\n            ],\n            [\n              -61.15676879882812,\n              16.252912145507434\n            ],\n            [\n              -61.178741455078125,\n              16.23313502630596\n            ],\n            [\n              -61.27349853515624,\n              16.23972762034491\n            ],\n            [\n              -61.34628295898438,\n              16.221267800508993\n            ],\n            [\n              -61.40533447265625,\n              16.197531203968456\n            ],\n            [\n              -61.46987915039062,\n              16.181705218921927\n            ],\n            [\n              -61.522064208984375,\n              16.18961837008834\n            ],\n            [\n              -61.568756103515625,\n              16.21863054208692\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.19557189941406,\n              12.226615269200776\n            ],\n            [\n              -68.22372436523438,\n              12.231312722758418\n            ],\n            [\n              -68.24363708496094,\n              12.231312722758418\n            ],\n            [\n              -68.26698303222656,\n              12.241378413502902\n            ],\n            [\n              -68.31161499023438,\n              12.264192558370494\n            ],\n            [\n              -68.33770751953125,\n              12.279624536925517\n            ],\n            [\n              -68.34800720214844,\n              12.293713814258815\n            ],\n            [\n              -68.35212707519531,\n              12.309144061253155\n            ],\n            [\n              -68.37684631347656,\n              12.31652342415263\n            ],\n            [\n              -68.39607238769531,\n              12.31652342415263\n            ],\n            [\n              -68.42079162597656,\n              12.297739183436013\n            ],\n            [\n              -68.42353820800781,\n              12.279624536925517\n            ],\n            [\n              -68.42422485351561,\n              12.246075604574798\n            ],\n            [\n              -68.4173583984375,\n              12.215206820314405\n            ],\n            [\n              -68.38645935058594,\n              12.20715350145174\n            ],\n            [\n              -68.34251403808594,\n              12.202455619013143\n            ],\n            [\n              -68.31024169921875,\n              12.189032638856906\n            ],\n            [\n              -68.28964233398438,\n              12.166212013959457\n            ],\n            [\n              -68.28483581542969,\n              12.142046863383278\n            ],\n            [\n              -68.29444885253906,\n              12.12526421833159\n            ],\n            [\n              -68.30680847167969,\n              12.11385141631145\n            ],\n            [\n              -68.29719543457031,\n              12.093038580274138\n            ],\n            [\n              -68.29376220703125,\n              12.070209736214085\n            ],\n            [\n              -68.28895568847656,\n              12.046707423730512\n            ],\n            [\n              -68.2635498046875,\n              12.025217794520252\n            ],\n            [\n              -68.24363708496094,\n              12.018501933126633\n            ],\n            [\n              -68.22441101074219,\n              12.028575662342247\n            ],\n            [\n              -68.22029113769531,\n              12.06752386190144\n            ],\n            [\n              -68.22921752929688,\n              12.094381392802772\n            ],\n            [\n              -68.21136474609375,\n              12.103109509834647\n            ],\n            [\n              -68.19351196289062,\n              12.120564888387038\n            ],\n            [\n              -68.18801879882812,\n              12.136005232925378\n            ],\n            [\n              -68.19351196289062,\n              12.149430892248045\n            ],\n            [\n              -68.1983184814453,\n              12.171581749195848\n            ],\n            [\n              -68.19969177246094,\n              12.187690303467848\n            ],\n            [\n              -68.19145202636719,\n              12.203126750176555\n            ],\n            [\n              -68.19557189941406,\n              12.226615269200776\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a74e4b07f02db64472a","contributors":{"authors":[{"text":"Morton, Robert A.","contributorId":88333,"corporation":false,"usgs":true,"family":"Morton","given":"Robert A.","affiliations":[],"preferred":false,"id":289592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":289591,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79288,"text":"ofr20061176 - 2006 - Geophysical Investigations of the Smoke Creek Desert and their Geologic Implications, Northwest Nevada and Northeast California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"ofr20061176","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1176","title":"Geophysical Investigations of the Smoke Creek Desert and their Geologic Implications, Northwest Nevada and Northeast California","docAbstract":"The Smoke Creek Desert is a large basin about 100 km (60 mi) north of Reno near the California-Nevada border, situated along the northernmost parts of the Walker Lane Belt, a physiographic region defined by diverse topographic expression consisting of northweststriking topographic features and strike-slip faulting. Because geologic and geophysical framework studies play an important role in understanding the hydrogeology of the Smoke Creek Desert, a geophysical effort was undertaken to help determine basin geometry, infer structural features, and estimate depth to basement. \r\n\r\nIn the northernmost parts of the Smoke Creek Desert basin, along Squaw Creek Valley, geophysical data indicate that the basin is shallow and that granitic rocks are buried at shallow depths throughout the valley. These granitic rocks are faulted and fractured and presumably permeable, and thus may influence ground-water resources in this area. \r\n\r\nThe Smoke Creek Desert basin itself is composed of three large oval sub-basins, all of which reach depths to basement of up to about 2 km (1.2 mi). In the central and southern parts of the Smoke Creek Desert basin, magnetic anomalies form three separate and narrow EW-striking features. These features consist of high-amplitude short-wavelength magnetic anomalies and probably reflect Tertiary basalt buried at shallow depth. In the central part of the Smoke Creek Desert basin a prominent EW-striking gravity and magnetic prominence extends from the western margin of the basin to the central part of the basin. Along this ridge, probably composed of Tertiary basalt, overlying unconsolidated basin-fill deposits are relatively thin (< 400 m). \r\n\r\nThe central part of the Smoke Creek Desert basin is also characterized by the Mid-valley fault, a continuous geologic and geophysical feature striking NS and at least 18-km long, possibly connecting with faults mapped in the Terraced Hills and continuing southward to Pyramid Lake. The Mid-valley fault may represent a lateral (east-west) barrier to ground-water flow. In addition, the Mid-valley fault may also be a conduit for along-strike (north-south) ground-water flow, channeling flow to the southernmost parts of the basin and the discharge areas north of Sand Pass. ","language":"ENGLISH","doi":"10.3133/ofr20061176","usgsCitation":"Ponce, D.A., Glen, J., and Tilden, J.E., 2006, Geophysical Investigations of the Smoke Creek Desert and their Geologic Implications, Northwest Nevada and Northeast California (Version 1.0): U.S. Geological Survey Open-File Report 2006-1176, ii, 25 p.; Excel file, https://doi.org/10.3133/ofr20061176.","productDescription":"ii, 25 p.; Excel file","costCenters":[{"id":314,"text":"Geophysics Unit of Menlo Park, CA (GUMP)","active":false,"usgs":true}],"links":[{"id":191152,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8776,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1176/","linkFileType":{"id":5,"text":"html"}},{"id":8777,"rank":9999,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2006/1176/version_history.txt","linkFileType":{"id":2,"text":"txt"}},{"id":8778,"rank":1000,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2006/1197/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.5,40 ], [ -120.5,41 ], [ -119.25,41 ], [ -119.25,40 ], [ -120.5,40 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c490","contributors":{"authors":[{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":289596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M. G.","contributorId":45756,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan M. G.","affiliations":[],"preferred":false,"id":289598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tilden, Janet E. 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":20423,"corporation":false,"usgs":true,"family":"Tilden","given":"Janet","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":289597,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79256,"text":"ofr20061299 - 2006 - Inversion of Gravity Data to Define the Pre-Cenozoic Surface and Regional Structures Possibly Influencing Groundwater Flow in the Rainier Mesa Region, Nye County, Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:41","indexId":"ofr20061299","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1299","title":"Inversion of Gravity Data to Define the Pre-Cenozoic Surface and Regional Structures Possibly Influencing Groundwater Flow in the Rainier Mesa Region, Nye County, Nevada","docAbstract":"A three-dimensional inversion of gravity data from the Rainier Mesa area and surrounding regions reveals a topographically complex pre-Cenozoic basement surface. This model of the depth to pre-Cenozoic basement rocks is intended for use in a 3D hydrogeologic model being constructed for the Rainier Mesa area. Prior to this study, our knowledge of the depth to pre-Cenozoic basement rocks was based on a regional model, applicable to general studies of the greater Nevada Test Site area but inappropriate for higher resolution modeling of ground-water flow across the Rainier Mesa area. The new model incorporates several changes that lead to significant improvements over the previous regional view. First, the addition of constraining wells, encountering old volcanic rocks lying above but near pre-Cenozoic basement, prevents modeled basement from being too shallow. Second, an extensive literature and well data search has led to an increased understanding of the change of rock density with depth in the vicinity of Rainier Mesa. The third, and most important change, relates to the application of several depth-density relationships in the study area instead of a single generalized relationship, thereby improving the overall model fit. In general, the pre-Cenozoic basement surface deepens in the western part of the study area, delineating collapses within the Silent Canyon and Timber Mountain caldera complexes, and shallows in the east in the Eleana Range and Yucca Flat regions, where basement crops out. In the Rainier Mesa study area, basement is generally shallow (< 1 km). The new model identifies previously unrecognized structures within the pre-Cenozoic basement that may influence ground-water flow, such as a shallow basement ridge related to an inferred fault extending northward from Rainier Mesa into Kawich Valley. ","language":"ENGLISH","doi":"10.3133/ofr20061299","usgsCitation":"Hildenbrand, T.G., Phelps, G., and Mankinen, E.A., 2006, Inversion of Gravity Data to Define the Pre-Cenozoic Surface and Regional Structures Possibly Influencing Groundwater Flow in the Rainier Mesa Region, Nye County, Nevada (Version 1.0): U.S. Geological Survey Open-File Report 2006-1299, 28 p., https://doi.org/10.3133/ofr20061299.","productDescription":"28 p.","numberOfPages":"28","costCenters":[{"id":314,"text":"Geophysics Unit of Menlo Park, CA (GUMP)","active":false,"usgs":true}],"links":[{"id":190630,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8730,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1299/","linkFileType":{"id":5,"text":"html"}},{"id":8733,"rank":9999,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2006/1299/version_history.txt","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.5,36.5 ], [ -116.5,37.5 ], [ -116,37.5 ], [ -116,36.5 ], [ -116.5,36.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48eae4b07f02db55519b","contributors":{"authors":[{"text":"Hildenbrand, Thomas G.","contributorId":61787,"corporation":false,"usgs":true,"family":"Hildenbrand","given":"Thomas","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":289500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phelps, Geoffrey A.","contributorId":17262,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey A.","affiliations":[],"preferred":false,"id":289499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mankinen, Edward A. 0000-0001-7496-2681 emank@usgs.gov","orcid":"https://orcid.org/0000-0001-7496-2681","contributorId":1054,"corporation":false,"usgs":true,"family":"Mankinen","given":"Edward","email":"emank@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":289498,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79254,"text":"ofr20061329 - 2006 - Preliminary geologic map of the White Sulphur Springs 30' x 60' Quadrangle, Montana","interactions":[],"lastModifiedDate":"2020-06-25T15:45:18.068126","indexId":"ofr20061329","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1329","displayTitle":"Preliminary Geologic Map of the White Sulphur Springs 30' x 60' Quadrangle, Montana","title":"Preliminary geologic map of the White Sulphur Springs 30' x 60' Quadrangle, Montana","docAbstract":"The geologic map of the White Sulphur Springs quadrangle, scale 1:100,000, was made as part of the Montana Investigations Project to provide new information on the stratigraphy, structure, and geologic history of the geologically complex area in west-central Montana.  The quadrangle encompasses about 4,235 km2 (1,635 mi2), across part of the Smith River basin, the west end of the Little Belt Mountains, the Castle Mountains, and the upper parts of the basins of the North Forks of the Smith and Musselshell Rivers and the Judith River.  Geologically the quadrangle extends across the eastern part of the Helena structural salient in the Rocky Mountain thrust belt, a segment of the Lewis and Clark tectonic zone, west end of the ancestral central Montana uplift, and the southwest edge of the Judith basin.\r\n\r\nRocks and sediments in the White Sulphur Springs quadrangle are assigned to 88 map units on the basis of rock or sediment type and age.  The oldest rock exposed is Neoarchean diorite that is infolded with Paleoproterozoic metamorphic rocks including gneiss, diorite, granite, amphibolite, schist, and mixed metamorphic rock types.  A thick succession of the Mesoproterozoic Belt Supergroup unconformably overlies the metamorphic rocks and, in turn, is overlain unconformably by Phanerozoic sedimentary and volcanic rocks.  Across most of the quadrangle, the pre-Tertiary stratigraphic succession is intruded by Eocene dikes, sills, and plutons.  The central part of the Little Belt Mountains is generally underlain by laccoliths and sheet-like bodies of quartz monzonite or dacite.  Oligocene andesitic basalt flows in the western and southern part of the quadrangle document both the configuration of the late Eocene erosional surfaces and the extent of extensional faulting younger than early Oligocene in the area.\r\n\r\nPliocene, Miocene, and Oligocene strata, mapped as 11 units, consist generally of interbedded sand, gravel, and tuffaceous sedimentary rock.  Quaternary and Quaternary-Tertiary sediments rest across the older Cenozoic deposits and across all older rocks.  The Quaternary and Quaternary-Tertiary deposits generally are gravels that mantle broad erosional surfaces on the flanks of the mountains, gravels in stream channels, and colluvium and landslide deposits on hill sides.  Glacial deposits, representing at least two stages of glaciation, are present in the northern part of the Little Belt Mountains.\r\n\r\nThe geologic structure of much of the northwest part of the quadrangle is a broad uplift, in the core of which the Paleoproterozoic and Neoarchean metamorphic rocks are exposed.  Down plunge to the east, the succession of Phanerozoic sedimentary rocks define an east-trending arch, cored locally by Mesoproterozoic strata of the Belt Supergroup.  The north flank of the arch dips steeply north as a monocline.  Stratigraphic relations among Mississippian, Pennsylvanian, and Jurassic strata document the recurrent uplift and erosion on that north flank.  The broader arch of the Little Belt Mountains reflects the west plunge of the ancestral Central Montana uplift.\r\n\r\nThe eastern extension of the Lewis and Clark tectonic zone is exposed in the southern half of the quadrangle where the Volcano Valley fault zone curves from west to southeast as a reverse fault along which the latest movement is up on the south side.  The fault zone ends in an anticline in the south-central margin of the quadrangle.  Stratigraphic overlap of Phanerozoic strata over the truncated edges of Mesoproterozoic units documents that the area of the eastern terminus of the fault zone was tectonically recurrently active.\r\n\r\nNortheast trending strike-slip faults displace Mesoproterozoic rocks in the northwest and south-central parts of the quadrangle.  Several of those faults are overlain unconformably by the Middle Cambrian Flathead Sandstone.  Other north-east and west-trending faults across the central part of the quadrangle are intruded by middle Eocene plutons.  You","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061329","usgsCitation":"Reynolds, M.W., and Brandt, T.R., 2006, Preliminary geologic map of the White Sulphur Springs 30' x 60' Quadrangle, Montana (Version 1.1): U.S. Geological Survey Open-File Report 2006-1329, 1 Map: 69.69 x 29.45 inches; HTML Document, https://doi.org/10.3133/ofr20061329.","productDescription":"1 Map: 69.69 x 29.45 inches; HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":190597,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8728,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1329/","linkFileType":{"id":5,"text":"html"}},{"id":110682,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78152.htm","linkFileType":{"id":5,"text":"html"},"description":"78152"}],"scale":"1","country":"United States","state":"Montana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,46.5 ], [ -111,47 ], [ -110,47 ], [ -110,46.5 ], [ -111,46.5 ] ] ] } } ] }","edition":"Version 1.1","publicComments":"Version 1.1 is released to (a) revise on the basis of new fossil evidence the Cretaceous stratigraphy and nomenclature for strata the southeast part of the quadrangle, and (b) modify several line and polygon codes.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e530","contributors":{"authors":[{"text":"Reynolds, Mitchell W. 0000-0002-9966-3896 mwreynol@usgs.gov","orcid":"https://orcid.org/0000-0002-9966-3896","contributorId":4641,"corporation":false,"usgs":true,"family":"Reynolds","given":"Mitchell","email":"mwreynol@usgs.gov","middleInitial":"W.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":289492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Theodore R. 0000-0002-7862-9082 tbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-7862-9082","contributorId":1267,"corporation":false,"usgs":true,"family":"Brandt","given":"Theodore","email":"tbrandt@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":289491,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79284,"text":"ofr20061264 - 2006 - Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2005","interactions":[],"lastModifiedDate":"2022-12-08T23:16:11.872359","indexId":"ofr20061264","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1264","title":"Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2005","docAbstract":"<p>The Alaska Volcano Observatory (AVO), a cooperative program of the U.S. Geological Survey, the Geophysical Institute of the University of Alaska Fairbanks, and the Alaska Division of Geological and Geophysical Surveys, has maintained seismic monitoring networks at historically active volcanoes in Alaska since 1988 (Figure 1). The primary objectives of the seismic program are the real-time seismic monitoring of active, potentially hazardous, Alaskan volcanoes and the investigation of seismic processes associated with active volcanism. This catalog presents calculated earthquake hypocenters and seismic phase arrival data, and details changes in the seismic monitoring program for the period January 1 through December 31, 2005.</p><p>The AVO seismograph network was used to monitor the seismic activity at thirty-two volcanoes within Alaska in 2005 (Figure 1). The network was augmented by two new subnetworks to monitor the Semisopochnoi Island volcanoes and Little Sitkin Volcano. Seismicity at these volcanoes was still being studied at the end of 2005 and has not yet been added to the list of permanently monitored volcanoes in the AVO weekly update. Following an extended period of monitoring to determine the background seismicity at the Mount Peulik, Ukinrek Maars, and Korovin Volcano, formal monitoring of these volcanoes began in 2005. AVO located 9,012 earthquakes in 2005.</p><p>Monitoring highlights in 2005 include: (1) seismicity at Mount Spurr remaining above background, starting in February 2004, through the end of the year and into 2006; (2) an increase in seismicity at Augustine Volcano starting in May 2005, and continuing through the end of the year into 2006; (3) volcanic tremor and seismicity related to low-level strombolian activity at Mount Veniaminof in January to March and September; and (4) a seismic swarm at Tanaga Volcano in October and November.</p><p>This catalog includes: (1) descriptions and locations of seismic instrumentation deployed in the field in 2005; (2) a description of earthquake detection, recording, analysis, and data archival systems; (3) a description of seismic velocity models used for earthquake locations; (4) a summary of earthquakes located in 2005; and (5) an accompanying UNIX tar-file with a summary of earthquake origin times, hypocenters, magnitudes, phase arrival times, and location quality statistics; daily station usage statistics; and all HYPOELLIPSE files used to determine the earthquake locations in 2005.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061264","usgsCitation":"Dixon, J.P., Stihler, S.D., Power, J.A., Tytgat, G., Estes, S., and McNutt, S.R., 2006, Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2005 (Version 1.0): U.S. Geological Survey Open-File Report 2006-1264, HTML Document, https://doi.org/10.3133/ofr20061264.","productDescription":"HTML Document","additionalOnlineFiles":"Y","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":410202,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78271.htm","linkFileType":{"id":5,"text":"html"}},{"id":8766,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1264/","linkFileType":{"id":5,"text":"html"}},{"id":190862,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20061264.JPG"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -143.25,\n              50\n            ],\n            [\n              -143.25,\n              62.333\n            ],\n            [\n              -179.9,\n              62.333\n            ],\n            [\n              -179.9,\n              50\n            ],\n            [\n              -143.25,\n              50\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e5a27","contributors":{"authors":[{"text":"Dixon, James P. 0000-0002-8478-9971 jpdixon@usgs.gov","orcid":"https://orcid.org/0000-0002-8478-9971","contributorId":3163,"corporation":false,"usgs":true,"family":"Dixon","given":"James","email":"jpdixon@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":289578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stihler, Scott D.","contributorId":31373,"corporation":false,"usgs":true,"family":"Stihler","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":289579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Power, John A. 0000-0002-7233-4398 jpower@usgs.gov","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":2768,"corporation":false,"usgs":true,"family":"Power","given":"John","email":"jpower@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":289577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tytgat, Guy","contributorId":71152,"corporation":false,"usgs":true,"family":"Tytgat","given":"Guy","email":"","affiliations":[],"preferred":false,"id":289582,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Estes, Steve","contributorId":55881,"corporation":false,"usgs":true,"family":"Estes","given":"Steve","email":"","affiliations":[],"preferred":false,"id":289581,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McNutt, Stephen R.","contributorId":38133,"corporation":false,"usgs":true,"family":"McNutt","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":289580,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":79268,"text":"ofr20061251 - 2006 - The National Assessment of Shoreline Change: A GIS compilation of vector shorelines and associated shoreline change data for the sandy shorelines of the California coast","interactions":[],"lastModifiedDate":"2021-08-16T21:46:44.331249","indexId":"ofr20061251","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1251","title":"The National Assessment of Shoreline Change: A GIS compilation of vector shorelines and associated shoreline change data for the sandy shorelines of the California coast","docAbstract":"Introduction\r\n\r\nThe Coastal and Marine Geology Program of the U.S. Geological Survey has generated a comprehensive data clearinghouse of digital vector shorelines and shoreline change rates for the sandy shoreline along the California open coast. These data, which are presented herein, were compiled as part of the U.S. Geological Survey's National Assessment of Shoreline Change Project.\r\n\r\nBeach erosion is a chronic problem along many open-ocean shores of the United States. As coastal populations continue to grow and community infrastructures are threatened by erosion, there is increased demand for accurate information including rates and trends of shoreline migration. There is also a critical need for shoreline change data that is consistent from one coastal region to another. One purpose of this work is to develop standard, repeatable methods for mapping and analyzing shoreline movement so that periodic, systematic, and internally consistent updates of shorelines and shoreline change rates can be made at a National Scale.\r\n\r\nThis data compilation for open-ocean, sandy shorelines of the California coast is one in a series that already includes the Gulf of Mexico and the Southeast Atlantic Coast (Morton et al., 2004; Morton et al., 2005) and will eventually cover Washington, Oregon, and parts of Hawaii and Alaska. Short- and long-term shoreline change evaluations are determined by comparing the positions of three historical shorelines digitized from maps, with a modern shoreline derived from LIDAR (light detection and ranging) topographic surveys. Historical shorelines generally represent the following time-periods: 1850s-1880s, 1920s-1930s, and late 1940s-1970s. The most recent shoreline is from data collected between 1997 and 2002. Long-term rates of change are calculated by linear regression using all four shorelines. Short-term rates of change are end-point rate calculations using the two most recent shorelines. Please refer to our full report on shoreline change of the California coastline at http://pubs.usgs.gov/of/2006/1219/ for additional information regarding methods and results (Hapke et al., 2006).\r\n\r\nData in this report are organized into downloadable layers by region (Northern, Central and Southern California) and are provided as vector datasets with metadata. Vector shorelines may represent a compilation of data from one or more sources and these sources are included in the dataset metadata. This project employs the Environmental Systems Research Institute's (ESRI) ArcGIS as it's GIS mapping tool and contains several data layers (shapefiles) that are used to create a geographic view of the California Coast. These vector data form a basemap comprised of polygon and line themes that include a U.S. coastline (1:80,000), U.S. cities, and state boundaries.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061251","usgsCitation":"Hapke, C.J., and Reid, D., 2006, The National Assessment of Shoreline Change: A GIS compilation of vector shorelines and associated shoreline change data for the sandy shorelines of the California coast (Version 1.1, Revised 2007): U.S. Geological Survey Open-File Report 2006-1251, HTML Document, https://doi.org/10.3133/ofr20061251.","productDescription":"HTML Document","additionalOnlineFiles":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":192428,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":387953,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78137.htm"},{"id":8747,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1251/"},{"id":8748,"rank":1000,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2006/1219/"}],"scale":"80000","country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4111,32.5353 ], [ -124.4111,42 ], [ -117.1203,42 ], [ -117.1203,32.5353 ], [ -124.4111,32.5353 ] ] ] } } ] }","edition":"Version 1.1, Revised 2007","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b14e","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":289535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, David","contributorId":63888,"corporation":false,"usgs":true,"family":"Reid","given":"David","email":"","affiliations":[],"preferred":false,"id":289536,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79273,"text":"ofr20061247 - 2006 - High-resolution chirp seismic reflection data acquired from the Cap de Creus shelf and canyon area, Gulf of Lions, Spain in 2004","interactions":[],"lastModifiedDate":"2012-02-10T00:11:37","indexId":"ofr20061247","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1247","title":"High-resolution chirp seismic reflection data acquired from the Cap de Creus shelf and canyon area, Gulf of Lions, Spain in 2004","docAbstract":"Seismic reflection data were collected from the Cap de Creus shelf and canyon in the southwest portion of the Gulf of Lions in October 2004. The data were acquired using the U.S. Geological Survey`s (USGS) high-resolution Edgetech CHIRP 512i seismic reflection system aboard the R/V Oceanus. Data from the shipboard 3.5 kHz echosounder were also collected but are not presented here. The seismic reflection data were collected as part of EuroSTRATAFORM funded by the Office of Naval Research. \r\n\r\nIn October 2004, more than 200 km of high resolution seismic reflection data were collected in water depths ranging 30 m - 600 m. All data were recorded with a Delph Seismic PC-based digital recording system and processed with Delph Seismic software. Processed sections were georeferenced into tiff images for digital archive, processing and display. Penetration ranged 20-80 m. The data feature high quality vertical cross-section imagery of numerous sequences of Quaternary seismic stratigraphy. \r\n\r\nThe report includes trackline maps showing the location of the data, as well as both digital data files (SEG-Y) and images of all of the profiles. The data are of high quality and provide new information on the location and thickness of sediment deposits overlying a major erosion surface on the Cap de Creus shelf; they also provide new insight into sediment processes on the walls and in the channel of Cap de Creus Canyon. These data are under study by researchers at the US Geological Survey, the University of Barcelona, and Texas A and M University. Copies of the data are available to all researchers. \r\n","language":"ENGLISH","doi":"10.3133/ofr20061247","usgsCitation":"Grossman, E., Hart, P.E., Field, M.E., and Triezenberg, P., 2006, High-resolution chirp seismic reflection data acquired from the Cap de Creus shelf and canyon area, Gulf of Lions, Spain in 2004: U.S. Geological Survey Open-File Report 2006-1247, data and interactive map, https://doi.org/10.3133/ofr20061247.","productDescription":"data and interactive map","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":192579,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8753,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1247/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 3.1808,42.1763 ], [ 3.1808,42.4418 ], [ 3.4586,42.4418 ], [ 3.4586,42.1763 ], [ 3.1808,42.1763 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db6888d6","contributors":{"authors":[{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":2334,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[],"preferred":false,"id":289548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, Michael E. mfield@usgs.gov","contributorId":2101,"corporation":false,"usgs":true,"family":"Field","given":"Michael","email":"mfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Triezenberg, Peter 0000-0002-7736-9186 ptriezenberg@usgs.gov","orcid":"https://orcid.org/0000-0002-7736-9186","contributorId":2409,"corporation":false,"usgs":true,"family":"Triezenberg","given":"Peter","email":"ptriezenberg@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289549,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79277,"text":"ofr20061282 - 2006 - Field-based evaluation of two herbaceous plant community composition sampling methods for long-term monitoring in Northern Great Plains National Parks","interactions":[],"lastModifiedDate":"2017-09-05T15:43:17","indexId":"ofr20061282","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1282","title":"Field-based evaluation of two herbaceous plant community composition sampling methods for long-term monitoring in Northern Great Plains National Parks","docAbstract":"The Northern Great Plains Inventory & Monitoring (I&M) Network (Network) of the National Park Service (NPS) consists of 13 NPS units in North Dakota, South Dakota, Nebraska, and eastern Wyoming. The Network is in the planning phase of a long-term program to monitor the health of park ecosystems. Plant community composition is one of the 'Vital Signs,' or indicators, that will be monitored as part of this program for three main reasons. First, plant community composition is information-rich; a single sampling protocol can provide information on the diversity of native and non-native species, the abundance of individual dominant species, and the abundance of groups of plants. Second, plant community composition is of specific management concern. The abundance and diversity of exotic plants, both absolute and relative to native species, is one of the greatest management concerns in almost all Network parks (Symstad 2004). Finally, plant community composition reflects the effects of a variety of current or anticipated stressors on ecosystem health in the Network parks including invasive exotic plants, large ungulate grazing, lack of fire in a fire-adapted system, chemical exotic plant control, nitrogen deposition, increased atmospheric carbon dioxide concentrations, and climate change.\r\n\r\nBefore the Network begins its Vital Signs monitoring, a detailed plan describing specific protocols used for each of the Vital Signs must go through rigorous development and review. The pilot study on which we report here is one of the components of this protocol development. The goal of the work we report on here was to determine a specific method to use for monitoring plant community composition of the herb layer (< 2 m tall).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061282","usgsCitation":"Symstad, A., Wienk, C.L., and Thorstenson, A., 2006, Field-based evaluation of two herbaceous plant community composition sampling methods for long-term monitoring in Northern Great Plains National Parks (Version 1.0): U.S. Geological Survey Open-File Report 2006-1282, 99 p., https://doi.org/10.3133/ofr20061282.","productDescription":"99 p.","numberOfPages":"99","onlineOnly":"Y","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":345472,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1282/pdf/of06-1282.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":195392,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8758,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1282/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db6883ba","contributors":{"authors":[{"text":"Symstad, Amy J.","contributorId":11721,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy J.","affiliations":[],"preferred":false,"id":289556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wienk, Cody L.","contributorId":52291,"corporation":false,"usgs":true,"family":"Wienk","given":"Cody","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":289557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorstenson, Andy","contributorId":60735,"corporation":false,"usgs":true,"family":"Thorstenson","given":"Andy","email":"","affiliations":[],"preferred":false,"id":289558,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79279,"text":"ofr20061316 - 2006 - Siberian platform: Geology and natural bitumen resources","interactions":[],"lastModifiedDate":"2018-07-31T10:29:01","indexId":"ofr20061316","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1316","title":"Siberian platform: Geology and natural bitumen resources","docAbstract":"<p>The Siberian platform is located between the Yenisey River on the west and the Lena River on the south and east. The Siberian platform is vast in size and inhospitable in its climate. This report is concerned principally with the setting, formation, and potential volumes of natural bitumen. In this report the volumes of maltha and asphalt referred to in the Russian literature are combined to represent natural bitumen. The generation of hydrocarbons and formation of hydrocarbon accumulations are discussed. The sedimentary basins of the Platform are described in terms of the Klemme basin classification system and the conditions controlling formation of natural bitumen. Estimates of in-place bitumen resources are reviewed and evaluated. If the bitumen volume estimate is confined to parts of identified deposits where field observations have verified rock and bitumen grades values, the bitumen resource amounts to about 62 billion barrels of oil in-place. However, estimates of an order of magnitude larger can be obtained if additional speculative and unverified rock volumes and grade measures are included.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061316","usgsCitation":"Meyer, R.F., and Freeman, P., 2006, Siberian platform: Geology and natural bitumen resources: U.S. Geological Survey Open-File Report 2006-1316, i, 24 p., https://doi.org/10.3133/ofr20061316.","productDescription":"i, 24 p.","numberOfPages":"25","onlineOnly":"Y","costCenters":[],"links":[{"id":190805,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8760,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1316/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fae4b07f02db5f3e0e","contributors":{"authors":[{"text":"Meyer, Richard F.","contributorId":67963,"corporation":false,"usgs":true,"family":"Meyer","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":289567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Philip A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":193093,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","email":"pfreeman@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":289566,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79282,"text":"ofr20061232 - 2006 - Inventory of Amphibians and Reptiles at Manzanar National Historic Site, California","interactions":[],"lastModifiedDate":"2012-02-02T00:13:56","indexId":"ofr20061232","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1232","title":"Inventory of Amphibians and Reptiles at Manzanar National Historic Site, California","docAbstract":"We conducted a baseline inventory for amphibians and\r\nreptiles at Manzanar National Historic Site (MANZ), Inyo\r\nCounty, California, in 2002-3. Objectives for this inventory\r\nwere to: 1) inventory and document the occurrence of reptile\r\nand amphibian species at MANZ, with the goal of documenting\r\nat least 90% of the species present; 2) provide one voucher\r\nspecimen for each species identified; 3) provide a GIS-referenced\r\nlist of sensitive species that are known to be federally- or\r\nstate-listed, rare, or worthy of special consideration that occur\r\nat MANZ; 4) describe park-wide distribution of federally- or\r\nstate-listed, rare, or special concern species; 5) enter all species\r\ndata into the National Park Service NPSpecies database; and\r\n6) provide all deliverables as outlined in the Mojave Network\r\nBiological Inventory Study Plan. Survey methods included\r\ntime-area constrained searches, lizard line transects, general\r\nsurveys, nighttime road driving, and pitfall trapping. We documented\r\nthe occurrence of ten reptile species (seven lizards and\r\nthree snakes), but found no amphibians. Based on our findings,\r\nas well as literature review and searches for museum specimen\r\nrecords, we estimate inventory completeness for Manzanar to\r\nbe 50%. Although the distribution and relative abundance of\r\ncommon lizard species is now known well enough to begin\r\ndevelopment of a monitoring protocol for that group, additional\r\ninventory work is needed in order to establish a baseline of species\r\noccurrence of amphibians and snakes at Manzanar.\r\nKey Words: amphibians, reptiles, Manzanar National\r\nHistoric Site, Inyo County, California, Owens Valley, Mojave\r\nDesert, Great Basin Desert, inventory.","language":"ENGLISH","doi":"10.3133/ofr20061232","usgsCitation":"Persons, T.B., Nowak, E., and Hillard, S., 2006, Inventory of Amphibians and Reptiles at Manzanar National Historic Site, California: U.S. Geological Survey Open-File Report 2006-1232, iv, 27 p.; 4 figs.; 7 tables, https://doi.org/10.3133/ofr20061232.","productDescription":"iv, 27 p.; 4 figs.; 7 tables","numberOfPages":"31","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":191614,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8763,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://sbsc.wr.usgs.gov/files/pdfs/ofr_2006-1232.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688c81","contributors":{"authors":[{"text":"Persons, Trevor B.","contributorId":96354,"corporation":false,"usgs":true,"family":"Persons","given":"Trevor","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":289572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowak, Erika M.","contributorId":14062,"corporation":false,"usgs":true,"family":"Nowak","given":"Erika M.","affiliations":[],"preferred":false,"id":289570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hillard, Scott","contributorId":84017,"corporation":false,"usgs":true,"family":"Hillard","given":"Scott","email":"","affiliations":[],"preferred":false,"id":289571,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79283,"text":"ofr20061204 - 2006 - Aeromagnetic and Gravity Surveys in Afghanistan: A Web Site for Distribution of Data","interactions":[],"lastModifiedDate":"2023-07-13T11:02:12.648809","indexId":"ofr20061204","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1204","title":"Aeromagnetic and Gravity Surveys in Afghanistan: A Web Site for Distribution of Data","docAbstract":"Aeromagnetic data were digitized from aeromagnetic maps created from\r\n      aeromagnetic surveys flown in southeastern and southern Afghanistan\r\n      in 1966 by PRAKLA, Gesellschaft fur praktische Lagerstattenforschung\r\n      GmbH, Hannover, Germany, on behalf of the 'Bundesanstalt fur\r\n      Bodenforschung', Hannover, Germany.  The digitization was done along\r\n      contour lines, followed by interpolation of the data along the original\r\n      survey flight-lines.  Survey and map specifications can be found in two\r\n      project reports, 'prakla_report_1967.pdf' and 'bgr_report_1968.pdf',\r\n      made available in this open-file report.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061204","usgsCitation":"Sweeney, R.E., Kucks, R.P., Hill, P.L., and Finn, C.A., 2006, Aeromagnetic and Gravity Surveys in Afghanistan: A Web Site for Distribution of Data: U.S. Geological Survey Open-File Report 2006-1204, HTML Document; Metadata, https://doi.org/10.3133/ofr20061204.","productDescription":"HTML Document; Metadata","additionalOnlineFiles":"Y","temporalStart":"1911-01-01","temporalEnd":"1967-12-31","costCenters":[],"links":[{"id":192306,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8764,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1204/","linkFileType":{"id":5,"text":"html"}},{"id":8765,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2006/1204/Gravity/afghan_metadata.txt","linkFileType":{"id":2,"text":"txt"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.8,29.4 ], [ 60.8,38.1 ], [ 71.6,38.1 ], [ 71.6,29.4 ], [ 60.8,29.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b02e4b07f02db698a22","contributors":{"authors":[{"text":"Sweeney, Ronald E.","contributorId":89564,"corporation":false,"usgs":true,"family":"Sweeney","given":"Ronald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":289576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kucks, Robert P.","contributorId":11648,"corporation":false,"usgs":true,"family":"Kucks","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":289575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Patricia L. pathill@usgs.gov","contributorId":1327,"corporation":false,"usgs":true,"family":"Hill","given":"Patricia","email":"pathill@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":289574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Carol A. 0000-0002-6178-0405 cfinn@usgs.gov","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":1326,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","email":"cfinn@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":289573,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79259,"text":"ofr20061257 - 2006 - An Introduction to Using Surface Geophysics to Characterize Sand and Gravel Deposits","interactions":[],"lastModifiedDate":"2012-02-02T00:14:05","indexId":"ofr20061257","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1257","title":"An Introduction to Using Surface Geophysics to Characterize Sand and Gravel Deposits","docAbstract":"This report is an introduction to surface geophysical techniques that aggregate producers can use to characterize known deposits of sand and gravel. Five well-established and well-tested geophysical methods are presented: seismic refraction and reflection, resistivity, ground penetrating radar, time-domain electromagnetism, and frequency-domain electromagnetism. Depending on site conditions and the selected method(s), geophysical surveys can provide information concerning aerial extent and thickness of the deposit, thickness of overburden, depth to the water table, critical geologic contacts, and location and correlation of geologic features. In addition, geophysical surveys can be conducted prior to intensive drilling to help locate auger or drill holes, reduce the number of drill holes required, calculate stripping ratios to help manage mining costs, and provide continuity between sampling sites to upgrade the confidence of reserve calculations from probable reserves to proved reserves. Perhaps the greatest value of geophysics to aggregate producers may be the speed of data acquisition, reduced overall costs, and improved subsurface characterization.\r\n","language":"ENGLISH","doi":"10.3133/ofr20061257","usgsCitation":"Lucius, J.E., Langer, W.H., and Ellefsen, K.J., 2006, An Introduction to Using Surface Geophysics to Characterize Sand and Gravel Deposits (Version 1.0): U.S. Geological Survey Open-File Report 2006-1257, iv, 51 p., https://doi.org/10.3133/ofr20061257.","productDescription":"iv, 51 p.","numberOfPages":"55","costCenters":[],"links":[{"id":192520,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8737,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1257/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686541","contributors":{"authors":[{"text":"Lucius, Jeffrey E. lucius@usgs.gov","contributorId":817,"corporation":false,"usgs":true,"family":"Lucius","given":"Jeffrey","email":"lucius@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":289506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langer, William H. blanger@usgs.gov","contributorId":1241,"corporation":false,"usgs":true,"family":"Langer","given":"William","email":"blanger@usgs.gov","middleInitial":"H.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":false,"id":289507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":false}],"preferred":true,"id":289505,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79257,"text":"ofr20061235 - 2006 - Evaluation of some software measuring displacements using GPS in real-time","interactions":[],"lastModifiedDate":"2019-04-08T10:46:35","indexId":"ofr20061235","displayToPublicDate":"2006-10-30T00:00:00","publicationYear":"2006","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":"2006-1235","title":"Evaluation of some software measuring displacements using GPS in real-time","docAbstract":"<p>For the past decade, the USGS has been monitoring deformation at various locations in the western United States using continuous GPS. The main focus of these measurements are estimates of displacement averaged over one day. Essentially, these consist of recording at 30 seconds intervals the carrier-frequency phase-data (equivalent to travel-time) between a GPS receiver and the GPS satellite network. In turn, these observations, which are converted to pseudo—ranges, are processed using one of the “research grade” programs (GIPSY, Zumberge et al., or GAMIT, wwwgpsg.mit.edu/~simon/gtgk) to estimate the position of the GPS receiver averaged over 24 hours. However, it is possible and desirable to estimate the position of the receiver (actually the antenna) more frequently and to do this within a few seconds of the time actual measurement (known as real-time). A recent example, the 2004 Magnitude 6, Parkfield, California earthquake, demonstrated that having GPS estimates of position more frequently than simply a daily average is required if one requires discrimination between co-seismic and post-seismic deformation (Langbein et al., 2006). The high-rate estimates of position obtained at Parkfield show that post-seismic deformation started less than one-hour after the mainshock and that this deformation was roughly the same magnitude as the co-seismic deformation. The high-rate solutions for Parkfield were done by others including Yehuda Bock at UCSD and Kristine Larson at U. of Colorado, but not the USGS. </p><p>The Parkfield experience points out the need for an in-house capability by the USGS to be able to accurately measure co-seismic displacements and other rapid, deformation signals using GPS. This applies to both the Earthquake and Volcano Hazard programs. Although at many locations where we monitor deformation, we have strainmeters and tiltmeters in addition to GPS which, in principle, are far more sensitive to rapid deformation over periods of less than a day (Langbein and Bock, 2004). But, not all locales include strain and tiltmeters. Thus, having the capability to extract signals with periods of less than a day is desirable since the distribution of GPS is more extensive than strain and tilt.</p><p>At both Parkfield and Long Valley, the USGS has been using other software packages to process the GPS data at sub-daily intervals and in real-time. The underlying goal of these types of measurements is to detect any deformation event as it evolves; the 24 hour processing might not provide timely results if such a deformation event is precursory to a geologic hazard (an earthquake for Parkfield and either a volcanic event or an earthquake for Long Valley).</p><p>In Long Valley, We use the software package called 3DTracker (http://www.3dtracker.com, http://www.condorearth.com) to estimate the changes of in position of a remote site relative to a “fixed” site. The 3DTracker software uses double difference GPS code measurements and receiversatellite-time triple differences from one epoch to the next of the GPS phase data (a proxy for travel-time measurements) and employs a Kalman filter to obtain stability in the estimate of position. That is, the estimate of the current position depends upon the estimate of the prior position. Hence, a time series of position looks fairly smooth depending upon the coefficient selected for the Kalman filter. With triple differences, the sometimes troublesome initial integer cycle ambiguity terms cancel (number of wavelengths between the receiver and each satellite), but only the incremental change in position is calculated. This triple difference Kalman filter solution is slow to converge and less accurate than a double difference (e.g., RTD, Track) solution, but it is robust and computationally efficient (Remondi and Brown, 2000). 3D-Tracker allows use of various single-frequency and dual-frequency GPS phase and code observables including the ionospheric-free combinations (known as LC or L3 and P(L3)) formed from an linear combination of the L1 and L2 carrier phase and code data. The lowest noise observable is the L1 carrier, but it is biased by ionospheric refraction that has amplitudes of about 1 to 10 ppm. This results in a systematic scale error in the relative positions. The L3 phase noise is about 3 times greater than the L1 phase noise, but it is generally used to solve for all but the shortest baselines (&lt; 5 km). In addition, the software does output the position changes is a standard format that can be used for other analysis.</p><p>At Parkfield, we use the software package called RTD (http://www.geodetics.com). The RTD software has been described in the literature (Bock et al., 2000) but basically, it estimates the position without the constraint of a Kalman filter. It uses double differences (in our studies the LC or ionospheric free observable is used) and the integer ambiguities are resolved independently for each 1-second measurement; Most GPS software that use double-differences require several epochs of measurements to resolve the integer ambiguities. The data files use a proprietary format and can not be read by me or others; rather, Yehuda Bock at UCSD (and author of RTD) translates these files into a standard format that can be read by me.</p><p>Recently, Tom Herring of MIT has modified the GAMIT software to process kinematically GPS data (www-gpsg.mit.edu/~simon/gtgk/tutorial/Lecture_13.pdf). At this time, the software, known as TRACK, does not process the observations in real-time. Consequently, the latency between the time of the observation and the time when a position estimate is available depends upon the frequency that the data are downloaded and the speed of actually processing the observations; there could be a delay of an hour or two before the a position estimates are available. Unlike RTD and 3DTracker, TRACK comes with GAMIT (which is distributed freely) and is currently operating in a test mode at the USGS office in Pasadena. The LC or ionosphere free observable is used in our TRACK solutions. </p><p>JPL has a version of their GIPSY software called “Real-time GIPSY (RTG)” (gipsy.jpl.nasa.gov/orms/rtg), which, like TRACK, can process the pseudo-range data “off—line”. However, this software is not freely distributed. Instead, at least one company, NAVCOM, has teamed with JPL to integrate RTG with GPS receivers and telemetry that yields positions in realtime.</p><p>Kristine Larson of University of Colorado has modified the original GIPSY to estimate positions kinematically. Again, like TRACK, the positions are estimated off—line. Much of her research is described in Larson et al. (2003), and Choi et al. (2004). </p><p>For Long Valley, out of the 17 GPS sites, we monitor 5 baselines within the caldera at 5 second intervals relative to the Bald Mountain site at the edge of the caldera using 3DTracker. The baseline measurement using 3DTracker consists of determination of the 3 dimensional positions of the 5 remote points (GPS receivers) relative to a GPS site at Bald. A second, independent system collects and downloads once a day the 30-second data used for the 24-hour solutions for the 12 sites not monitored with 3DTracker. For the sites monitored with 3DTracker, the pseudo—range data are decimated to 30 seconds and converted to a form used for the 24-hour solutions. Both sets of telemetry employ 900 MHz spread spectrum radios which require line of site between all of the links. The telemetry for the 3DTracker sites require a dedicated radios at each end and intermediate repeaters as needed, while the telemetry required for the other sites use a single master radio, repeaters as needed, and a radio at each remote site. (The 5 sites being monitored with 3DTracker require 13 radios.)</p><p>At Parkfield, RTD is used to measure the position changes all 12 baselines at 1 second intervals relative to a site, Pomm, adjacent to the San Andreas Fault. The complete RTD package (hardware and software) collects all of the data and determines the position of each site relative to Pomm. In addition, the system stores both the 1-second and 30-second pseudo-range data for later downloading which are ultimately used in the 24-hour solutions. To do this, each site has a 2.4 GHz radio and a telemetry buffer. The telemetry buffer holds 24-hours of data (in the event that the telemetry link is broken) and converts the RS232 data stream from the GPS receiver into a form compatible with an IP (Internet protocol) network connection. In contrast with the Long Valley system, the telemetry link for GPS at Parkfield consists of a single radio at each remote sites and a single radio at the central site. Although position estimates are produced within 1-second of the observations, these results are not immediately available because there is no high speed Internet connection to Parkfield. Instead, the data are stored on a removable disk and sent to UCSD once per month.</p><p>Below, I describe the results of a simple experiment to examine the response of some of these systems to simulated deformation that could be an analogue of a tectonic or volcanic event. In many engineering applications, the system response is tested by inputting a step to the system and measuring the output of the system. Essentially, this is what I've done. The experiment described below moves the GPS antenna from its original position to a new position within 1 second; the software tracks the translation. These measurements were conducted in August 2004 with the RTD software at Parkfield, and twice in Long Valley. The first Long Valley test was conducted in September 2004 using 3DTracker on a single baseline. The test was repeated in September 2005 using 3DTracker on two baselines and, importantly, saving the RINEX files of the data so that the data could be replayed through 3DTracker using other options in the program and, using other software packages including TRACK. </p><p>In addition, we observed a short-term event at the Three Sisters volcano in Oregon. This event was snow melt at a remote GPS site which gave an apparent 15 cm displacement in vertical in less than one-day. 3DTracker is used to monitor this site, and the event was captured with this software. In addition, with the assistance of others, I got additional estimates of position using other software packages; those results are presented. </p><p>Finally, the precision of both 3DTracker and RTD are compared using a power spectrum. Those results would suggest that 3DTracker using appropriate Kalman filter coefficients would have better precision than RTD; instead, the lower noise level from 3DTracker is a result of smoothing from the Kalman filter. </p><p>Given the results described in this report, high-rate GPS is certainly capable of accurately measuring displacements of 1 centimeter with a high degree of statistical confidence. Plotting these results show that the time of the displacement can be visually determined to that of the sampling interval of the data. However, especially with small amplitude signals, any of the software packages can yield erroneous deformation “signals” that are either due excess travel-time of the GPS carrier frequency from multipath or a limitation in the software. Thus, the time series of&nbsp;displacements must be viewed with caution and knowledge of external circumstances that might cause a change in position.&nbsp;</p><p>The casual reader should continue with the next section describing the methods then jump to the last two sections for the discussion and conclusions. I have made some recommendations there.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061235","usgsCitation":"Langbein, J.O., 2006, Evaluation of some software measuring displacements using GPS in real-time (Version 1.0): U.S. Geological Survey Open-File Report 2006-1235, 37 p., https://doi.org/10.3133/ofr20061235.","productDescription":"37 p.","numberOfPages":"37","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":648,"text":"Western Earthquake Hazards","active":false,"usgs":true}],"links":[{"id":194749,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8731,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1235/","linkFileType":{"id":5,"text":"html"}},{"id":8732,"rank":9999,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2006/1235/version_history.txt","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db627b66","contributors":{"authors":[{"text":"Langbein, John O.","contributorId":72438,"corporation":false,"usgs":true,"family":"Langbein","given":"John","middleInitial":"O.","affiliations":[],"preferred":false,"id":289501,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}