{"pageNumber":"565","pageRowStart":"14100","pageSize":"25","recordCount":46681,"records":[{"id":70047719,"text":"ofr20131133 - 2013 - Salton Sea ecosystem monitoring and assessment plan","interactions":[],"lastModifiedDate":"2013-08-20T13:02:40","indexId":"ofr20131133","displayToPublicDate":"2013-08-20T12:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1133","title":"Salton Sea ecosystem monitoring and assessment plan","docAbstract":"The Salton Sea, California’s largest lake, provides essential habitat for several fish and wildlife species and is an important cultural and recreational resource. It has no outlet, and dissolved salts contained in the inflows concentrate in the Salton Sea through evaporation. The salinity of the Salton Sea, which is currently nearly one and a half times the salinity of ocean water, has been increasing as a result of evaporative processes and low freshwater inputs. Further reductions in inflows from water conservation, recycling, and transfers will lower the level of the Salton Sea and accelerate the rate of salinity increases, reduce the suitability of fish and wildlife habitat, and affect air quality by exposing lakebed playa that could generate dust.\n\nLegislation enacted in 2003 to implement the Quantification Settlement Agreement (QSA) stated the Legislature’s intent for the State of California to undertake the restoration of the Salton Sea ecosystem. As required by the legislation, the California Resources Agency (now California Natural Resources Agency) produced the Salton Sea Ecosystem Restoration Study and final Programmatic Environmental Impact Report (PEIR; California Resources Agency, 2007) with the stated purpose to “develop a preferred alternative by exploring alternative ways to restore important ecological functions of the Salton Sea that have existed for about 100 years.” A decision regarding a preferred alternative currently resides with the California State Legislature (Legislature), which has yet to take action.\n\nAs part of efforts to identify an ecosystem restoration program for the Salton Sea, and in anticipation of direction from the Legislature, the California Department of Water Resources (DWR), California Department of Fish and Wildlife (CDFW), U.S. Bureau of Reclamation (Reclamation), and U.S. Geological Survey (USGS) established a team to develop a monitoring and assessment plan (MAP). This plan is the product of that effort.\n\nThe goal of the MAP is to provide a guide for data collection, analysis, management, and reporting to inform management actions for the Salton Sea ecosystem. Monitoring activities are directed at species and habitats that could be affected by or drive future restoration activities. The MAP is not intended to be a prescriptive document. Rather, it is envisioned to be a flexible, program-level guide that articulates high-level goals and objectives, and establishes broad sideboards within which future project-level investigations and studies will be evaluated and authorized. As such, the MAP, by design, does not, for example, include detailed protocols describing how investigations will be implemented. It is anticipated that detailed study proposals will be prepared as part of an implementation plan that will include such things as specific sampling objectives, sampling schemes, and statistical and spatial limits.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131133","collaboration":"Prepared for the California Department of Water Resources, Salton Sea Ecosystem Restoration Program Kent Nelson, Program Manager","usgsCitation":"Case(compiler), H., Boles, J., Delgado, A., Nguyen, T., Osugi, D., Barnum, D.A., Decker, D., Steinberg, S., Steinberg, S., Keene, C., White, K., Lupo, T., Gen, S., and Baerenklau, K.A., 2013, Salton Sea ecosystem monitoring and assessment plan: U.S. Geological Survey Open-File Report 2013-1133, iv, 220 p., https://doi.org/10.3133/ofr20131133.","productDescription":"iv, 220 p.","numberOfPages":"241","additionalOnlineFiles":"N","costCenters":[{"id":550,"text":"Salton Sea Science Office","active":true,"usgs":true}],"links":[{"id":276810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131133.jpg"},{"id":276808,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1133/"},{"id":276809,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1133/pdf/ofr20131133.pdf"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.28,32.95 ], [ -116.28,33.67 ], [ -115.31,33.67 ], [ -115.31,32.95 ], [ -116.28,32.95 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521481e1e4b06d85e08fb4c7","contributors":{"authors":[{"text":"Case(compiler), H. 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,{"id":70047718,"text":"fs20133057 - 2013 - The 3D Elevation Program: summary for Washington","interactions":[],"lastModifiedDate":"2016-08-17T16:12:52","indexId":"fs20133057","displayToPublicDate":"2013-08-20T12:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3057","title":"The 3D Elevation Program: summary for Washington","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Washington, elevation data are critical for natural resources conservation, agriculture and precision farming, infrastructure and construction management, flood risk management, geologic resource assessment and hazards mitigation, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133057","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Washington (Originally posted August 20, 2013; Revised and reposted August 14, 2014, version 1.1): U.S. Geological Survey Fact Sheet 2013-3057, 2 p., https://doi.org/10.3133/fs20133057.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":423,"text":"National Geospatial 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":482797,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047707,"text":"70047707 - 2013 - The 2011 Mw 7.1 Van (Eastern Turkey) earthquake","interactions":[],"lastModifiedDate":"2013-08-20T08:37:42","indexId":"70047707","displayToPublicDate":"2013-08-20T08:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"The 2011 Mw 7.1 Van (Eastern Turkey) earthquake","docAbstract":"We use interferometric synthetic aperture radar (InSAR), body wave seismology, satellite imagery, and field observations to constrain the fault parameters of the M<sub>w</sub> 7.1 2011 Van (Eastern Turkey) reverse-slip earthquake, in the Turkish-Iranian plateau. Distributed slip models from elastic dislocation modeling of the InSAR surface displacements from ENVISAT and COSMO-SkyMed interferograms indicate up to 9 m of reverse and oblique slip on a pair of en echelon NW 40 &deg;–54 &deg; dipping fault planes which have surface extensions projecting to just 10 km north of the city of Van. The slip remained buried and is relatively deep, with a centroid depth of 14 km, and the rupture reaching only within 8–9 km of the surface, consistent with the lack of significant ground rupture. The up-dip extension of this modeled WSW striking fault plane coincides with field observations of weak ground deformation seen on the western of the two fault segments and has a dip consistent with that seen at the surface in fault gouge exposed in Quaternary sediments. No significant coseismic slip is found in the upper 8 km of the crust above the main slip patches, except for a small region on the eastern segment potentially resulting from the M<sub>w</sub> 5.9 aftershock on the same day. We perform extensive resolution tests on the data to confirm the robustness of the observed slip deficit in the shallow crust. We resolve a steep gradient in displacement at the point where the planes of the two fault segments ends are inferred to abut at depth, possibly exerting some structural control on rupture extent.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrb.50117","usgsCitation":"Elliot, J., Copley, A.C., Holley, R., Scharer, K.M., and Parsons, B., 2013, The 2011 Mw 7.1 Van (Eastern Turkey) earthquake: Journal of Geophysical Research, v. 118, no. 4, p. 1619-1637, https://doi.org/10.1002/jgrb.50117.","productDescription":"19 p.","startPage":"1619","endPage":"1637","numberOfPages":"19","ipdsId":"IP-038911","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":276789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276788,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50117"}],"country":"Turkey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 33.0,33.0 ], [ 33.0,44.0 ], [ 52.0,44.0 ], [ 52.0,33.0 ], [ 33.0,33.0 ] ] ] } } ] }","volume":"118","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-04","publicationStatus":"PW","scienceBaseUri":"521481e2e4b06d85e08fb4cb","contributors":{"authors":[{"text":"Elliot, John R.","contributorId":26612,"corporation":false,"usgs":true,"family":"Elliot","given":"John R.","affiliations":[],"preferred":false,"id":482782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Copley, Alex C.","contributorId":90630,"corporation":false,"usgs":true,"family":"Copley","given":"Alex","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":482785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holley, R.","contributorId":85874,"corporation":false,"usgs":true,"family":"Holley","given":"R.","email":"","affiliations":[],"preferred":false,"id":482784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":482781,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parsons, Barry","contributorId":56966,"corporation":false,"usgs":true,"family":"Parsons","given":"Barry","affiliations":[],"preferred":false,"id":482783,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047697,"text":"ofr20131190 - 2013 - Knowledge and understanding of dissolved solids in the Rio Grande–San Acacia, New Mexico, to Fort Quitman, Texas, and plan for future studies and monitoring","interactions":[],"lastModifiedDate":"2013-08-19T15:16:39","indexId":"ofr20131190","displayToPublicDate":"2013-08-19T15:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1190","title":"Knowledge and understanding of dissolved solids in the Rio Grande–San Acacia, New Mexico, to Fort Quitman, Texas, and plan for future studies and monitoring","docAbstract":"Availability of water in the Rio Grande Basin has long been a primary concern for water-resource managers. The transport and delivery of water in the basin have been engineered by using reservoirs, irrigation canals and drains, and transmountain-water diversions to meet the agricultural, residential, and industrial demand. In contrast, despite the widespread recognition of critical water-quality problems, there have been minimal management efforts to improve water quality in the Rio Grande. Of greatest concern is salinization (concentration of dissolved solids approaching 1,000 mg/L), a water-quality problem that has been recognized and researched for more than 100 years because of the potential to limit both agricultural and municipal use. To address the issue of salinization, water-resource managers need to have a clear conceptual understanding of the sources of salinity and the factors that control storage and transport, identify critical knowledge gaps in this conceptual understanding, and develop a research plan to address these gaps and develop a salinity management program. In 2009, the U.S. Geological Survey (USGS) in cooperation with the U.S. Army Corps of Engineers (USACE), New Mexico Interstate Stream Commission (NMISC), and New Mexico Environment Department (NMED) initiated a project to summarize the current state of knowledge regarding the transport of dissolved solids in the Rio Grande between San Acacia, New Mexico, and Fort Quitman, Texas. The primary objective is to provide hydrologic information pertaining to the spatial and temporal variability present in the concentrations and loads of dissolved solids in the Rio Grande, the source-specific budget for the mass of dissolved solids transported along the Rio Grande, and the locations at which dissolved solids enter the Rio Grande. Dissolved-solids concentration data provide a good indicator of the general quality of surface water and provide information on the factors governing salinization within the Rio Grande study area. The pattern in dissolved-solids concentrations along the Rio Grande is one of increasing concentration with increasing distance downstream from Elephant Butte and Caballo Reservoirs. The concentration of dissolved solids in the Rio Grande doubles (approximately 500 to 1,000 mg/L) from below Elephant Butte Reservoir to El Paso and increases by more than a factor of 5 (approximately 500 to 3,200 mg/L) from below Elephant Butte Reservoir to Fort Quitman. Marked increases in the concentration of dissolved solids commonly coincide with contributions from agricultural drains, wastewater-treatment plants, regional groundwater, and upward-flowing saline groundwater.  The greatest factor, from the surface-water system, in controlling dissolved solids in the Rio Grande is the amount of water that is being transported or stored. Annual variation in streamflow is influenced primarily by climate (precipitation and evaporation) and management of Elephant Butte and Caballo Reservoirs (water storage and release cycles). Seasonal variation in streamflow within the Rio Grande study area is generally categorized generally as irrigation (March–September) and nonirrigation (October–February) seasons; with streamflow in the Rio Grande is highest during the irrigation season and lowest during the nonirrigation season. Dissolved-solids loads during the irrigation season decrease between Leasburg and Fort Quitman primarily because of irrigation diversions and losses to the underlying alluvial aquifer. Conversely, dissolved-solids loads during the nonirrigation season increase between Caballo Dam and Fort Quitman primarily because of the inflow of dissolved solids from agricultural drains, wastewater-treatment plants, and groundwater with elevated concentrations of dissolved solids.  Many studies have mass-balance budgets that account for the mass of dissolved solids transported along the Rio Grande. Results from mass-balance budgets developed for dissolved solids indicated that (1) the inflow of saline groundwater, inflow of regional groundwater, and chemical reactions between mineral phases are the primary sources controlling dissolved solids in the Rio Grande, and (2) groundwater pumping and mineral precipitation are causing a net storage of dissolved solids in the Leasburg to El Paso and El Paso to Fort Quitman reaches of the Rio Grande.  Looking forward, multiple water-resource managers from State and local agencies in New Mexico and Texas and Federal agencies formed the Rio Grande Salinity Management Coalition with the goal to reduce the amount of dissolved solids that are transported and stored in the Rio Grande study area. The recommendations for additional monitoring to assist the coalition are as follows:\n-Monitoring: Couple water-quality and streamflow monitoring in the Rio Grande and agricultural drains; perform groundwater-seepage investigations in the Rio Grande and major agricultural drains; nonitor groundwater water-quality conditions in the Mesilla and Hueco Basins.\n-Focused Hydrogeology Studies at Inflow Sources: Map dissolved-solids concentrations in the Rio Grande and underlying alluvial aquifer; perform hydrogeologic characterization of subsurface areas containing unusually high concentrations of dissolved solids. \n-Modeling of Dissolved Solids: Develop models to simulate the transport and storage of dissolved solids in both surface-water and groundwater systems.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131190","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, New Mexico Interstate Stream Commission, and New Mexico Environment Department","usgsCitation":"Moyer, D., Anderholm, S.K., Hogan, J., Phillips, F.M., Hibbs, B.J., Witcher, J.C., Matherne, A.M., and Falk, S.E., 2013, Knowledge and understanding of dissolved solids in the Rio Grande–San Acacia, New Mexico, to Fort Quitman, Texas, and plan for future studies and monitoring: U.S. Geological Survey Open-File Report 2013-1190, vii, 55 p., https://doi.org/10.3133/ofr20131190.","productDescription":"vii, 55 p.","numberOfPages":"67","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":276776,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1190/"},{"id":276777,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1190/pdf/ofr2013-1190.pdf"},{"id":276779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131190.gif"}],"country":"Mexico;United States","state":"New Mexico;Texas","otherGeospatial":"Rio Grande Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108,31 ], [ -108,34.15 ], [ -105.15,34.15 ], [ -105.15,31 ], [ -108,31 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52136df9e4b0b08f4461988f","contributors":{"authors":[{"text":"Moyer, Douglas 0000-0001-6330-478X dlmoyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6330-478X","contributorId":2670,"corporation":false,"usgs":true,"family":"Moyer","given":"Douglas","email":"dlmoyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderholm, Scott K.","contributorId":94270,"corporation":false,"usgs":true,"family":"Anderholm","given":"Scott","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":482749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, James F.","contributorId":30533,"corporation":false,"usgs":true,"family":"Hogan","given":"James F.","affiliations":[],"preferred":false,"id":482746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Fred M.","contributorId":57957,"corporation":false,"usgs":true,"family":"Phillips","given":"Fred","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hibbs, Barry J.","contributorId":55327,"corporation":false,"usgs":true,"family":"Hibbs","given":"Barry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482747,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Witcher, James C.","contributorId":99456,"corporation":false,"usgs":true,"family":"Witcher","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":482750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482743,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Falk, Sarah E. sefalk@usgs.gov","contributorId":1056,"corporation":false,"usgs":true,"family":"Falk","given":"Sarah","email":"sefalk@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":482744,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70047694,"text":"ds784 - 2013 - Velocity, water-quality, and bathymetric surveys of the Grays Landing and Maxwell Navigation Pools, and Selected Tributaries to the Monongahela River, Pennsylvania, 2010–11","interactions":[],"lastModifiedDate":"2017-06-27T11:12:50","indexId":"ds784","displayToPublicDate":"2013-08-19T14:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"784","title":"Velocity, water-quality, and bathymetric surveys of the Grays Landing and Maxwell Navigation Pools, and Selected Tributaries to the Monongahela River, Pennsylvania, 2010–11","docAbstract":"The U.S. Geological Survey (USGS) conducted velocity, water-quality, and bathymetric surveys from spring 2010 to summer 2011 in the Grays Landing and Maxwell navigation pools of the Monongahela River, Pennsylvania, and selected tributaries in response to elevated levels of total dissolved solids (TDS) recorded in early September 2009. Velocity data were collected using an Acoustic Doppler Current Profiler. Water-quality surveys included the in-situ collection of specific-conductance, water-temperature, and turbidity data using a water-quality sonde. Additionally, discrete water samples were collected and analyzed for TDS, chloride, and sulfate. Bathymetric data were collected using an echo sounder, and the shoreline was delineated using a laser range finder and electronic compass. The data were geo-referenced using a differential global positioning system and navigational software. Horizontal (x, y) coordinates were referenced to the North American Datum of 1983. Depth (z) elevations were referenced to the North American Vertical Datum of 1988. The data are provided in electronic format (appendix 1) and may be downloaded and can be used in a geographic information system for cartographic display and data analysis.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds784","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection","usgsCitation":"Hoffman, S.A., Roland, M.A., Schalk, L., and Fulton, J.W., 2013, Velocity, water-quality, and bathymetric surveys of the Grays Landing and Maxwell Navigation Pools, and Selected Tributaries to the Monongahela River, Pennsylvania, 2010–11: U.S. Geological Survey Data Series 784, Report: vi, 12 p.; Downloads Directory, https://doi.org/10.3133/ds784.","productDescription":"Report: vi, 12 p.; Downloads Directory","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":276769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds784.gif"},{"id":276766,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/784/"},{"id":276768,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/784/downloads"},{"id":276767,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/784/pdf/ds784.pdf"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Monongahela River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.1,39.7 ], [ -80.1,40.083 ], [ -79.75,40.083 ], [ -79.75,39.7 ], [ -80.1,39.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52136dfbe4b0b08f446198a3","contributors":{"authors":[{"text":"Hoffman, Scott A. shoffman@usgs.gov","contributorId":2634,"corporation":false,"usgs":true,"family":"Hoffman","given":"Scott","email":"shoffman@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roland, Mark A. 0000-0002-0268-6507 mroland@usgs.gov","orcid":"https://orcid.org/0000-0002-0268-6507","contributorId":2116,"corporation":false,"usgs":true,"family":"Roland","given":"Mark","email":"mroland@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schalk, Luther 0000-0003-3957-1794 lschalk@usgs.gov","orcid":"https://orcid.org/0000-0003-3957-1794","contributorId":4366,"corporation":false,"usgs":true,"family":"Schalk","given":"Luther","email":"lschalk@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, John W. 0000-0002-5335-0720 jwfulton@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":2298,"corporation":false,"usgs":true,"family":"Fulton","given":"John","email":"jwfulton@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482733,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047674,"text":"ofr20131157 - 2013 - Land change in the Central Corn Belt Plains Ecoregion and hydrologic consequences in developed areas: 1939-2000","interactions":[],"lastModifiedDate":"2013-10-30T13:22:12","indexId":"ofr20131157","displayToPublicDate":"2013-08-19T09:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1157","title":"Land change in the Central Corn Belt Plains Ecoregion and hydrologic consequences in developed areas: 1939-2000","docAbstract":"This report emphasizes the importance of a multi-disciplinary understanding of how land use and land cover can affect regional hydrology by collaboratively investigating how increases in developed land area may affect stream discharge by evaluating land-cover change from 1939 to 2000, urban housing density data from 1940 to 2010, and changes in annual peak streamflow from water years 1945 to 2009. The results and methods crosscut two mission areas of the U.S. Geological Survey (Climate and Land Use, Water) and can be used to better assess developed land change and hydrologic consequences, which can be used to better assess future management and mitigation strategies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131157","usgsCitation":"Karstensen, K., Shaver, D., Alexander, R., Over, T., and Soong, D.T., 2013, Land change in the Central Corn Belt Plains Ecoregion and hydrologic consequences in developed areas: 1939-2000: U.S. Geological Survey Open-File Report 2013-1157, vi, 21 p., https://doi.org/10.3133/ofr20131157.","productDescription":"vi, 21 p.","numberOfPages":"32","onlineOnly":"Y","temporalStart":"1939-01-01","temporalEnd":"2000-12-31","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":276739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131157.png"},{"id":276737,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1157/"},{"id":276738,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1157/pdf/ofr2013-1157.pdf"}],"country":"United States","state":"Illinois;Indiana;Wisconsin","otherGeospatial":"Central Corn Belt Plains Ecoregion","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0,38.0 ], [ -92.0,43.0 ], [ -86.0,43.0 ], [ -86.0,38.0 ], [ -92.0,38.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52136df9e4b0b08f44619893","contributors":{"authors":[{"text":"Karstensen, Krista","contributorId":97758,"corporation":false,"usgs":true,"family":"Karstensen","given":"Krista","affiliations":[],"preferred":false,"id":482693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaver, David","contributorId":24265,"corporation":false,"usgs":true,"family":"Shaver","given":"David","affiliations":[],"preferred":false,"id":482691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Randal","contributorId":14285,"corporation":false,"usgs":true,"family":"Alexander","given":"Randal","email":"","affiliations":[],"preferred":false,"id":482690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Over, Thomas","contributorId":31294,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","affiliations":[],"preferred":false,"id":482692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soong, David T. dsoong@usgs.gov","contributorId":2230,"corporation":false,"usgs":true,"family":"Soong","given":"David","email":"dsoong@usgs.gov","middleInitial":"T.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482689,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047671,"text":"70047671 - 2013 - Surface electric fields for North America during historical geomagnetic storms","interactions":[],"lastModifiedDate":"2013-09-09T11:17:44","indexId":"70047671","displayToPublicDate":"2013-08-19T09:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Surface electric fields for North America during historical geomagnetic storms","docAbstract":"To better understand the impact of geomagnetic disturbances on the electric grid, we recreate surface electric fields from two historical geomagnetic storms—the 1989 “Quebec” storm and the 2003 “Halloween” storms. Using the Spherical Elementary Current Systems method, we interpolate sparsely distributed magnetometer data across North America. We find good agreement between the measured and interpolated data, with larger RMS deviations at higher latitudes corresponding to larger magnetic field variations. The interpolated magnetic field data are combined with surface impedances for 25 unique physiographic regions from the United States Geological Survey and literature to estimate the horizontal, orthogonal surface electric fields in 1 min time steps. The induced horizontal electric field strongly depends on the local surface impedance, resulting in surprisingly strong electric field amplitudes along the Atlantic and Gulf Coast. The relative peak electric field amplitude of each physiographic region, normalized to the value in the Interior Plains region, varies by a factor of 2 for different input magnetic field time series. The order of peak electric field amplitudes (largest to smallest), however, does not depend much on the input. These results suggest that regions at lower magnetic latitudes with high ground resistivities are also at risk from the effect of geomagnetically induced currents. The historical electric field time series are useful for estimating the flow of the induced currents through long transmission lines to study power flow and grid stability during geomagnetic disturbances.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Space Weather","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/swe.20073","usgsCitation":"Wei, L.H., Homeier, N., and Gannon, J.L., 2013, Surface electric fields for North America during historical geomagnetic storms: Space Weather, v. 11, no. 8, p. 451-462, https://doi.org/10.1002/swe.20073.","startPage":"451","endPage":"462","ipdsId":"IP-050044","costCenters":[{"id":415,"text":"National Earthquake Information Center","active":false,"usgs":true}],"links":[{"id":473595,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/swe.20073","text":"Publisher Index Page"},{"id":276730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276728,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/swe.20073"}],"country":"United States","volume":"11","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52136dfae4b0b08f4461989b","contributors":{"authors":[{"text":"Wei, Lisa H.","contributorId":29726,"corporation":false,"usgs":true,"family":"Wei","given":"Lisa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":482680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homeier, Nichole","contributorId":40881,"corporation":false,"usgs":true,"family":"Homeier","given":"Nichole","email":"","affiliations":[],"preferred":false,"id":482681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gannon, Jennifer L.","contributorId":40882,"corporation":false,"usgs":true,"family":"Gannon","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":482682,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047660,"text":"70047660 - 2013 - No trespassing: using a biofence to manipulate wolf movements","interactions":[],"lastModifiedDate":"2013-08-16T13:30:01","indexId":"70047660","displayToPublicDate":"2013-08-16T13:27:26","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"No trespassing: using a biofence to manipulate wolf movements","docAbstract":"Context: Conserving large carnivores can be challenging because of conflicts with human land use and competition with humans for resources. Predation on domestic stock can have negative economic impacts particularly for owners of small herds, and tools for minimising carnivore depredation of livestock are needed. Canids use scent marking to establish territories and avoid intraspecific conflict. Exploiting scent-marking behaviour may provide a means for manipulating canid movements. Aims: We hypothesised that human-deployed scent marks (i.e. ‘biofence’) could be used to manipulate the movements of grey wolves (Canis lupus) in Idaho, USA. Methods: We deployed 65 km of biofence within three wolf-pack territories during summer 2010 and 2011 and used location data from satellite-collared wolves and sign surveys to assess the effectiveness of biofencing. Key results: Location data provided by satellite-collared wolves and sign surveys in 2010 showed little to no trespass of the biofence, even though the excluded areas were used by the packs in previous summers. We also opportunistically deployed a biofence in between a rendezvous site of a resident pack and a nearby sheep grazing allotment; the pack was not implicated in any depredations in summer 2010, even though they had killed sheep every year since 2006. Location data provided by satellite-collared wolves in summer 2011 showed that wolves did trespass biofences. Conclusions: Biofencing effectively manipulated the movements of wolves in the first year of our study, but not the second. Implications: Our work suggests that biofencing may be most limited by the apparent necessity to maintain a continuous presence once the biofence is established. The inherent labour and costs associated with such efforts may limit the usefulness of biofencing. Our work can be improved on through further testing that maintains biofencing over a longer timeframe (>3 months), samples several animals per treatment pack, and uses a treatment and control design.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WR12176","usgsCitation":"Ausband, D., Mitchell, M.S., Bassing, S.B., and White, C., 2013, No trespassing: using a biofence to manipulate wolf movements: Wildlife Research, v. 40, no. 3, p. 207-216, https://doi.org/10.1071/WR12176.","productDescription":"10 p.","startPage":"207","endPage":"216","ipdsId":"IP-048940","costCenters":[{"id":399,"text":"Montana Cooperative Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":276695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276694,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WR12176"}],"volume":"40","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520f3bebe4b0fc50304bc48c","contributors":{"authors":[{"text":"Ausband, David E.","contributorId":51441,"corporation":false,"usgs":true,"family":"Ausband","given":"David E.","affiliations":[],"preferred":false,"id":482662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":482661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bassing, Sarah B.","contributorId":81006,"corporation":false,"usgs":true,"family":"Bassing","given":"Sarah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":482663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Craig","contributorId":94203,"corporation":false,"usgs":true,"family":"White","given":"Craig","email":"","affiliations":[],"preferred":false,"id":482664,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047647,"text":"ofr20131229 - 2013 - Review of a model to assess stranding of juvenile salmon by ship wakes along the Lower Columbia River, Oregon and Washington","interactions":[],"lastModifiedDate":"2013-08-16T11:13:18","indexId":"ofr20131229","displayToPublicDate":"2013-08-16T11:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1229","title":"Review of a model to assess stranding of juvenile salmon by ship wakes along the Lower Columbia River, Oregon and Washington","docAbstract":"Long period wake waves from deep draft vessels have been shown to strand small fish, particularly juvenile Chinook salmon Oncorhynchus tschawytcha, in the lower Columbia River (LCR). The U.S. Army Corps of Engineers is responsible for maintaining the shipping channel in the LCR and recently conducted dredging operations to deepen the shipping channel from an authorized depth of 40 feet(ft) to an authorized depth of 43 ft (in areas where rapid shoaling was expected, dredging operations were used to increase the channel depth to 48 ft). A model was developed to estimate stranding probabilities for juvenile salmon under the 40- and 43-ft channel scenarios, to determine if channel deepening was going to affect wake stranding (Assessment of potential stranding of juvenile salmon by ship wakes along the Lower Columbia River under scenarios of ship traffic and channel depth: Report prepared for the Portland District U.S. Army Corps of Engineers, Portland, Oregon). The U.S. Army Corps of Engineers funded the U.S. Geological Survey to review this model. A total of 30 review questions were provided to guide the review process, and these questions are addressed in this report. In general, we determined that the analyses by Pearson (2011) were appropriate given the data available. We did identify two areas where additional information could have been provided: (1) a more thorough description of model diagnostics and model selection would have been useful for the reader to better understand the model framework; and (2) model uncertainty should have been explicitly described and reported in the document. Stranding probability estimates between the 40- and 43-ft channel depths were minimally different under most of the scenarios that were examined by Pearson (2011), and a discussion of the effects of uncertainty given these minimal differences would have been useful. Ultimately, however, a stochastic (or simulation) model would provide the best opportunity to illustrate uncertainty within a given set of model predictions, but such an approach would require a substantial amount of additional data collection. Several review questions focused on the accuracy and precision of the model estimates, but we were unable to address these questions because of the limited data that currently exists regarding wake stranding in the LCR. Additional field studies will be required to validate findings from Pearson (2011), if concerns regarding accuracy and precision remain a priority. Although the Pearson (2011) model provided a useful examination of stranding under pre-construction and post-construction conditions, future research will be required to better understand the effects of wake stranding on juvenile salmonids throughout the entire LCR. If additional information on wake stranding is desired in the future, the following topics may be of interest: (1) spatial examination of wake stranding throughout the entire LCR; (2) additional evaluation of juvenile salmonid behavior and population dynamics; (3) assessing and integrating predicted changes in ship development; and (4) assessing and integrating predicted changes in climate on environmental factors known to cause stranding.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131229","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Kock, T.J., Plumb, J.M., and Adams, N.S., 2013, Review of a model to assess stranding of juvenile salmon by ship wakes along the Lower Columbia River, Oregon and Washington: U.S. Geological Survey Open-File Report 2013-1229, iv, 20 p., https://doi.org/10.3133/ofr20131229.","productDescription":"iv, 20 p.","numberOfPages":"28","onlineOnly":"Y","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":276680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131229.jpg"},{"id":276678,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1229/"},{"id":276679,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1229/pdf/ofr20131229.pdf"}],"country":"United States","state":"Oregon;Washington","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.1739,45.5391 ], [ -124.1739,48.9995 ], [ -117.6306,48.9995 ], [ -117.6306,45.5391 ], [ -124.1739,45.5391 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520f3bece4b0fc50304bc494","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":482625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":482627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":482626,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047635,"text":"fs20133040 - 2013 - The 3D Elevation Program: summary for Rhode Island","interactions":[],"lastModifiedDate":"2016-08-17T16:14:28","indexId":"fs20133040","displayToPublicDate":"2013-08-15T14:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3040","title":"The 3D Elevation Program: summary for Rhode Island","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Rhode Island, elevation data are critical for flood risk management, natural resources conservation, coastal zone management, sea level rise and subsidence, agriculture and precision farming, and other business uses. Today, high-quality light detection and ranging (lidar) data are the sources for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative (Snyder, 2012a,b), managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133040","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Rhode Island: U.S. Geological Survey Fact Sheet 2013-3040, 2 p., https://doi.org/10.3133/fs20133040.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":423,"text":"National Geospatial 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,{"id":70047628,"text":"ds789 - 2013 - Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2012","interactions":[],"lastModifiedDate":"2016-09-07T16:51:18","indexId":"ds789","displayToPublicDate":"2013-08-15T12:04:31","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"789","title":"Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2012","docAbstract":"<p>Between January 1 and December 31, 2012, the Alaska Volcano Observatory located 4,787 earthquakes, of which 4,211 occurred within 20 kilometers of the 33 volcanoes monitored by a seismograph network. There was significant seismic activity at Iliamna, Kanaga, and Little Sitkin volcanoes in 2012. Instrumentation highlights for this year include the implementation of the Advanced National Seismic System Quake Monitoring System hardware and software in February 2012 and the continuation of the American Recovery and Reinvestment Act work in the summer of 2012. The operational highlight was the removal of Mount Wrangell from the list of monitored volcanoes. This catalog includes hypocenters, magnitudes, and statistics of the earthquakes located in 2012 with the station parameters, velocity models, and other files used to locate these earthquakes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds789","usgsCitation":"Dixon, J.P., Stihler, S.D., Power, J.A., Haney, M.M., Parker, T., Searcy, C., and Prejean, S., 2013, Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2012: U.S. Geological Survey Data Series 789, Report: iv, 84 p.; Zip file, https://doi.org/10.3133/ds789.","productDescription":"Report: iv, 84 p.; Zip file","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"links":[{"id":276638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds789.JPG"},{"id":276637,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/789/2012_AVO_Seismic_Catalog.zip","text":"Seismic Catalog","size":"1.4 MB","linkFileType":{"id":6,"text":"zip"},"description":"Seismic Catalog"},{"id":276636,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/789/pdf/ds789.pdf","text":"Report","size":"6.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":276635,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/789/"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -181.82373046875,\n              50.86491125522503\n            ],\n            [\n              -182.120361328125,\n              52.09975692575725\n            ],\n            [\n              -170.33203125,\n              61.33353967329142\n            ],\n            [\n              -153.45703125,\n              65.47650756256367\n            ],\n            [\n              -141.15234374999997,\n              66.26685631430843\n            ],\n            [\n              -141.15234374999997,\n              59.88893689676585\n            ],\n            [\n              -153.8525390625,\n              53.69670647530323\n            ],\n            [\n              -181.82373046875,\n              50.86491125522503\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520dea57e4b08494c3cb05ab","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":482569,"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":482572,"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":482567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. mhaney@usgs.gov","contributorId":2943,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":482568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parker, Tom","contributorId":13520,"corporation":false,"usgs":true,"family":"Parker","given":"Tom","email":"","affiliations":[],"preferred":false,"id":482571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Searcy, Cheryl 0000-0002-9474-5745 csearcy@usgs.gov","orcid":"https://orcid.org/0000-0002-9474-5745","contributorId":4039,"corporation":false,"usgs":true,"family":"Searcy","given":"Cheryl","email":"csearcy@usgs.gov","affiliations":[],"preferred":true,"id":482570,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prejean, Stephanie","contributorId":61916,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","affiliations":[],"preferred":false,"id":482573,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047615,"text":"70047615 - 2013 - An automated cross-correlation based event detection technique and its application to surface passive data set","interactions":[],"lastModifiedDate":"2013-08-15T08:05:45","indexId":"70047615","displayToPublicDate":"2013-08-15T08:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1806,"text":"Geophysical Prospecting","active":true,"publicationSubtype":{"id":10}},"title":"An automated cross-correlation based event detection technique and its application to surface passive data set","docAbstract":"In studies on heavy oil, shale reservoirs, tight gas and enhanced geothermal systems, the use of surface passive seismic data to monitor induced microseismicity due to the fluid flow in the subsurface is becoming more common. However, in most studies passive seismic records contain days and months of data and manually analysing the data can be expensive and inaccurate. Moreover, in the presence of noise, detecting the arrival of weak microseismic events becomes challenging. Hence, the use of an automated, accurate and computationally fast technique for event detection in passive seismic data is essential. The conventional automatic event identification algorithm computes a running-window energy ratio of the short-term average to the long-term average of the passive seismic data for each trace. We show that for the common case of a low signal-to-noise ratio in surface passive records, the conventional method is not sufficiently effective at event identification. Here, we extend the conventional algorithm by introducing a technique that is based on the cross-correlation of the energy ratios computed by the conventional method. With our technique we can measure the similarities amongst the computed energy ratios at different traces. Our approach is successful at improving the detectability of events with a low signal-to-noise ratio that are not detectable with the conventional algorithm. Also, our algorithm has the advantage to identify if an event is common to all stations (a regional event) or to a limited number of stations (a local event). We provide examples of applying our technique to synthetic data and a field surface passive data set recorded at a geothermal site.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Prospecting","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1365-2478.12033","usgsCitation":"Forghani-Arani, F., Behura, J., Haines, S.S., and Batzle, M., 2013, An automated cross-correlation based event detection technique and its application to surface passive data set: Geophysical Prospecting, v. 61, no. 4, p. 778-787, https://doi.org/10.1111/1365-2478.12033.","productDescription":"10 p.","startPage":"778","endPage":"787","ipdsId":"IP-030871","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":276621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276615,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2478.12033"}],"volume":"61","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"520dea4fe4b08494c3cb05a7","contributors":{"authors":[{"text":"Forghani-Arani, Farnoush","contributorId":7588,"corporation":false,"usgs":true,"family":"Forghani-Arani","given":"Farnoush","affiliations":[],"preferred":false,"id":482537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Behura, Jyoti","contributorId":103948,"corporation":false,"usgs":true,"family":"Behura","given":"Jyoti","affiliations":[],"preferred":false,"id":482539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":482536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batzle, Mike","contributorId":102766,"corporation":false,"usgs":true,"family":"Batzle","given":"Mike","affiliations":[],"preferred":false,"id":482538,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70118578,"text":"70118578 - 2013 - Modeling volcano growth on the Island of Hawaii: Deep-water perspectives","interactions":[],"lastModifiedDate":"2020-10-06T00:40:02.381038","indexId":"70118578","displayToPublicDate":"2013-08-14T13:02:10","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Modeling volcano growth on the Island of Hawaii: Deep-water perspectives","docAbstract":"Recent ocean-bottom geophysical surveys, dredging, and dives, which complement surface data and scientific drilling at the Island of Hawaii, document that evolutionary stages during volcano growth are more diverse than previously described. Based on combining available composition, isotopic age, and geologically constrained volume data for each of the component volcanoes, this overview provides the first integrated models for overall growth of any Hawaiian island. In contrast to prior morphologic models for volcano evolution (preshield, shield, postshield), growth increasingly can be tracked by age and volume (magma supply), defining waxing alkalic, sustained tholeiitic, and waning alkalic stages. Data and estimates for individual volcanoes are used to model changing magma supply during successive compositional stages, to place limits on volcano life spans, and to interpret composite assembly of the island. Volcano volumes vary by an order of magnitude; peak magma supply also varies sizably among edifices but is challenging to quantify because of uncertainty about volcano life spans. Three alternative models are compared: (1) near-constant volcano propagation, (2) near-equal volcano durations, (3) high peak-tholeiite magma supply. These models define inconsistencies with prior geodynamic models, indicate that composite growth at Hawaii peaked ca. 800–400 ka, and demonstrate a lower current rate. Recent age determinations for Kilauea and Kohala define a volcano propagation rate of 8.6 cm/yr that yields plausible inception ages for other volcanoes of the Kea trend. In contrast, a similar propagation rate for the less-constrained Loa trend would require inception of Loihi Seamount in the future and ages that become implausibly large for the older volcanoes. An alternative rate of 10.6 cm/yr for Loa-trend volcanoes is reasonably consistent with ages and volcano spacing, but younger Loa volcanoes are offset from the Kea trend in age-distance plots. Variable magma flux at the Island of Hawaii, and longer-term growth of the Hawaiian chain as discrete islands rather than a continuous ridge, may record pulsed magma flow in the hotspot/plume source.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00935.1","usgsCitation":"Lipman, P.W., and Calvert, A.T., 2013, Modeling volcano growth on the Island of Hawaii: Deep-water perspectives: Geosphere, v. 9, no. 5, p. 1348-1383, https://doi.org/10.1130/GES00935.1.","productDescription":"36 p.","startPage":"1348","endPage":"1383","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00935.1","text":"Publisher Index 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acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":497080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047602,"text":"70047602 - 2013 - Assessment of regional change in nitrate concentrations in groundwater in the Central Valley, California, USA, 1950s-2000s","interactions":[],"lastModifiedDate":"2018-09-13T14:29:27","indexId":"70047602","displayToPublicDate":"2013-08-14T09:38:20","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of regional change in nitrate concentrations in groundwater in the Central Valley, California, USA, 1950s-2000s","docAbstract":"A regional assessment of multi-decadal changes in nitrate concentrations was done using historical data and a spatially stratified non-biased approach. Data were stratified into physiographic subregions on the basis of geomorphology and soils data to represent zones of historical recharge and discharge patterns in the basin. Data were also stratified by depth to represent a shallow zone generally representing domestic drinking-water supplies and a deep zone generally representing public drinking-water supplies. These stratifications were designed to characterize the regional extent of groundwater with common redox and age characteristics, two factors expected to influence changes in nitrate concentrations over time. Overall, increasing trends in nitrate concentrations and the proportion of nitrate concentrations above 5 mg/L were observed in the east fans subregion of the Central Valley. Whereas the west fans subregion has elevated nitrate concentrations, temporal trends were not detected, likely due to the heterogeneous nature of the water quality in this area and geologic sources of nitrate, combined with sparse and uneven data coverage. Generally low nitrate concentrations in the basin subregion are consistent with reduced geochemical conditions resulting from low permeability soils and higher organic content, reflecting the distal portions of alluvial fans and historical groundwater discharge areas. Very small increases in the shallow aquifer in the basin subregion may reflect downgradient movement of high nitrate groundwater from adjacent areas or overlying intensive agricultural inputs. Because of the general lack of regionally extensive long-term monitoring networks, the results from this study highlight the importance of placing studies of trends in water quality into regional context. Earlier work concluded that nitrate concentrations were steadily increasing over time in the eastern San Joaquin Valley, but clearly those trends do not apply to other physiographic subregions within the Central Valley, even where land use and climate are similar.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Earth Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12665-012-2082-4","usgsCitation":"Burow, K.R., Jurgens, B., Belitz, K., and Dubrovsky, N.M., 2013, Assessment of regional change in nitrate concentrations in groundwater in the Central Valley, California, USA, 1950s-2000s: Environmental Earth Sciences, v. 69, no. 8, p. 2609-2621, https://doi.org/10.1007/s12665-012-2082-4.","productDescription":"13 p.","startPage":"2609","endPage":"2621","ipdsId":"IP-036857","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":276591,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12665-012-2082-4"},{"id":276594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.78,35.07 ], [ -122.78,40.74 ], [ -118.8,40.74 ], [ -118.8,35.07 ], [ -122.78,35.07 ] ] ] } } ] }","volume":"69","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-11-04","publicationStatus":"PW","scienceBaseUri":"520c98d2e4b081fa6136d3c2","contributors":{"authors":[{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":22454,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","affiliations":[],"preferred":false,"id":482506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":482503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubrovsky, Neil M. 0000-0001-7786-1149 nmdubrov@usgs.gov","orcid":"https://orcid.org/0000-0001-7786-1149","contributorId":1799,"corporation":false,"usgs":true,"family":"Dubrovsky","given":"Neil","email":"nmdubrov@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482505,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047588,"text":"70047588 - 2013 - Importance of the National Petroleum Reserve-Alaska for aquatic birds","interactions":[],"lastModifiedDate":"2013-12-09T11:39:56","indexId":"70047588","displayToPublicDate":"2013-08-13T13:01:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Importance of the National Petroleum Reserve-Alaska for aquatic birds","docAbstract":"We used data from aerial surveys (1992–2010) of >100,000 km<sup>2</sup> and ground surveys (1998–2004) of >150 km<sup>2</sup> to estimate the density and abundance of birds on the North Slope of Alaska (U.S.A.). In the ground surveys, we used double sampling to estimate detection ratios. We used the aerial survey data to compare densities of birds and Arctic fox (Vulpes lagopus), the major nest predator of birds, on the North Slope, in Prudhoe Bay, and in nearby areas. We partitioned the Prudhoe Bay oil field into 2 × 2 km plots and determined the relation between density of aquatic birds and density of roads, buildings, and other infrastructure in these plots. Abundance and density (birds per square kilometer) of 3 groups of aquatic birds—waterfowl, loons, and grebes; shorebirds; and gulls, terns, and jaegers—were highest in the National Petroleum Reserve–Alaska (NPRA) and lowest in the Arctic National Wildlife Refuge. Six other major wetlands occur in the Arctic regions of Canada and Russia, but the largest population of aquatic birds was in the NPRA. Aquatic birds were concentrated in the northern part of the NPRA. For example, an area that covered 18% of the NPRA included 53% of its aquatic birds. The aerial surveys showed that bird density was not lower and fox density was not higher in Prudhoe Bay than in surrounding areas. Density of infrastructure did not significantly affect bird density for any group of species. Our results establish that the NPRA is one of the most important areas for aquatic birds in the Arctic. Our results and those of others also indicate that oil production, as practiced in Prudhoe Bay, does not necessarily lead to substantial declines in bird density or productivity in or near the developed areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/cobi.12133","usgsCitation":"Bart, J., Platte, R.M., Andres, B., Brown, S., Johnson, J., and Larned, W., 2013, Importance of the National Petroleum Reserve-Alaska for aquatic birds: Conservation Biology, v. 27, no. 6, p. 1304-1312, https://doi.org/10.1111/cobi.12133.","productDescription":"9 p.","startPage":"1304","endPage":"1312","ipdsId":"IP-048834","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":276565,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/cobi.12133"},{"id":276576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"National Petroleum Reserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","volume":"27","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-08-12","publicationStatus":"PW","scienceBaseUri":"520b81ede4b0d6ca46067da8","contributors":{"authors":[{"text":"Bart, Jonathan jon_bart@usgs.gov","contributorId":57025,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"jon_bart@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":482471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Platte, Robert M.","contributorId":43263,"corporation":false,"usgs":true,"family":"Platte","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andres, Brad","contributorId":19053,"corporation":false,"usgs":true,"family":"Andres","given":"Brad","affiliations":[],"preferred":false,"id":482468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Stephen","contributorId":40096,"corporation":false,"usgs":true,"family":"Brown","given":"Stephen","affiliations":[],"preferred":false,"id":482469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, James A.","contributorId":84649,"corporation":false,"usgs":true,"family":"Johnson","given":"James A.","affiliations":[],"preferred":false,"id":482472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larned, William","contributorId":106001,"corporation":false,"usgs":true,"family":"Larned","given":"William","affiliations":[],"preferred":false,"id":482473,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047596,"text":"sir20135139 - 2013 - Relation between organic-wastewater compounds, groundwater geochemistry, and well characteristics for selected wells in Lansing, Michigan","interactions":[],"lastModifiedDate":"2013-08-13T13:04:22","indexId":"sir20135139","displayToPublicDate":"2013-08-13T12:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5139","title":"Relation between organic-wastewater compounds, groundwater geochemistry, and well characteristics for selected wells in Lansing, Michigan","docAbstract":"In 2010, groundwater from 20 Lansing Board of Water and Light (BWL) production wells was tested for 69 organic-wastewater compounds (OWCs). The OWCs detected in one-half of the sampled wells are widely used in industrial and environmental applications and commonly occur in many wastes and stormwater. To identify factors that contribute to the occurrence of these constituents in BWL wells, the U.S. Geological Survey (USGS) interpreted the results of these analyses and related detections of OWCs to local characteristics and groundwater geochemistry.\n\nAnalysis of groundwater-chemistry data collected by the BWL during routine monitoring from 1969 to 2011 indicates that the geochemistry of the BWL wells has changed over time, with the major difference being an increase in sodium and chloride. The concentrations of sodium and chloride were positively correlated to frequency of OWC detections. The BWL wells studied are all completed in the Saginaw aquifer, which consists of water-bearing sandstones of Pennsylvanian age. The Saginaw aquifer is underlain by the Parma-Bayport aquifer, and overlain by the Glacial aquifer. Two possible sources of sodium and chloride were evaluated: basin brines by way of the Parma-Bayport aquifer, and surficial sources by way of the Glacial aquifer. To determine if water from the underlying aquifer had influenced well-water geochemistry over time, the total dissolved solids concentration and changes in major ion concentrations were examined with respect to well depth, age, and pumping rate. To address a possible surficial source of sodium and chloride, 25 well, aquifer, or hydrologic characteristics, and 2 groundwater geochemistry variables that might influence whether, or the rate at which, water from the land surface could reach each well were compared to OWC detections and well chemistry.\n\nThe statistical tests performed during this study, using available variables, indicated that reduced time of travel of water from the land surface to the well opening was significantly correlated with detections of OWCs. No specific well or aquifer characteristic was correlated with OWC detections; however, wells with detections tended to have less modeled confining material thickness (as simulated in the regional groundwater flow model), which is an estimate of the amount of clay or shale between the Glacial and Saginaw aquifers. Additional analyses and collection of other data would be required to more conclusively identify the source and to determine the potential vulnerability of other wells because each BWL well may have a somewhat unique set of characteristics that governs its response to pumping. Therefore, it is possible that a relevant explanatory variable was not included in this analysis. The current patterns of geochemistry, and the relation between these patterns and volume of pumpage for the BWL wells, indicates other wells may be susceptible to OWCs in the future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135139","collaboration":"Prepared in cooperation with the Tri-County Regional Planning Commission","usgsCitation":"Haack, S.K., and Luukkonen, C.L., 2013, Relation between organic-wastewater compounds, groundwater geochemistry, and well characteristics for selected wells in Lansing, Michigan: U.S. Geological Survey Scientific Investigations Report 2013-5139, v, 36 p., https://doi.org/10.3133/sir20135139.","productDescription":"v, 36 p.","numberOfPages":"46","onlineOnly":"Y","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":276575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135139.png"},{"id":276573,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5139/"},{"id":276574,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5139/pdf/sir2013-5139_web.pdf"}],"country":"United States","state":"Michigan","county":"Clinton County;Eaton County;Ingham County","city":"Lansing","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.701274,42.647483 ], [ -84.701274,42.76988 ], [ -84.417581,42.76988 ], [ -84.417581,42.647483 ], [ -84.701274,42.647483 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81efe4b0d6ca46067db8","contributors":{"authors":[{"text":"Haack, Sheridan K. skhaack@usgs.gov","contributorId":1982,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan","email":"skhaack@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luukkonen, Carol L. clluukko@usgs.gov","contributorId":3489,"corporation":false,"usgs":true,"family":"Luukkonen","given":"Carol","email":"clluukko@usgs.gov","middleInitial":"L.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482479,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047594,"text":"ofr20131181 - 2013 - Integrating seismic-reflection and sequence-stratigraphic methods to characterize the hydrogeology of the Floridan aquifer system in southeast Florida","interactions":[],"lastModifiedDate":"2013-08-13T12:46:48","indexId":"ofr20131181","displayToPublicDate":"2013-08-13T12:44:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1181","title":"Integrating seismic-reflection and sequence-stratigraphic methods to characterize the hydrogeology of the Floridan aquifer system in southeast Florida","docAbstract":"The Floridan aquifer system (FAS) is receiving increased attention as a result of regulatory restrictions on water-supply withdrawals and treated wastewater management practices. The South Florida Water Management District’s Regional Water Availability Rule, adopted in 2007, restricts urban withdrawals from the shallower Biscayne aquifer to pre-April 2006 levels throughout southeast Florida. Legislation adopted by the State of Florida requires elimination of ocean outfalls of treated wastewater by 2025. These restrictions have necessitated the use of the more deeply buried FAS as an alternate water resource to meet projected water-supply shortfalls, and as a repository for the disposal of wastewater via Class I deep injection wells and injection of reclaimed water. Some resource managers in Broward County have expressed concern regarding the viability of the FAS as an alternative water supply due to a lack of technical data and information regarding its long-term sustainability.\n\nSustainable development and management of the FAS for water supply is uncertain because of the potential risk posed by structural geologic anomalies (faults, fractures, and karst collapse structures) and knowledge gaps in the stratigraphy of the system. The integration of seismic-reflection and borehole data into an improved geologic and hydrogeologic framework will provide a better understanding of the structural and stratigraphic features that influence groundwater flow and contaminant transport.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131181","collaboration":"Prepared in Cooperation with Broward County Natural Resources Planning and Management Division","usgsCitation":"Cunningham, K.J., 2013, Integrating seismic-reflection and sequence-stratigraphic methods to characterize the hydrogeology of the Floridan aquifer system in southeast Florida: U.S. Geological Survey Open-File Report 2013-1181, 8 p., https://doi.org/10.3133/ofr20131181.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":276571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131181.png"},{"id":276569,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1181/"},{"id":276570,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1181/pdf/ofr2013-1181.pdf"}],"country":"United States","state":"Florida","county":"Broward County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.339626,25.862948 ], [ -80.339626,26.348128 ], [ -80.055788,26.348128 ], [ -80.055788,25.862948 ], [ -80.339626,25.862948 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81eee4b0d6ca46067db0","contributors":{"authors":[{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":482477,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047593,"text":"sir20133035 - 2013 - New service interface for River Forecasting Center derived quantitative precipitation estimates","interactions":[],"lastModifiedDate":"2013-08-13T13:26:21","indexId":"sir20133035","displayToPublicDate":"2013-08-13T12:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3035","title":"New service interface for River Forecasting Center derived quantitative precipitation estimates","docAbstract":"For more than a decade, the National Weather Service (NWS) River Forecast Centers (RFCs) have been estimating spatially distributed rainfall by applying quality-control procedures to radar-indicated rainfall estimates in the eastern United States and other best practices in the western United States to producea national Quantitative Precipitation Estimate (QPE) (National Weather Service, 2013). The availability of archives of QPE information for analytical purposes has been limited to manual requests for access to raw binary file formats that are difficult for scientists who are not in the climatic sciences to work with. The NWS provided the QPE archives to the U.S. Geological Survey (USGS), and the contents of the real-time feed from the RFCs are being saved by the USGS for incorporation into the archives. The USGS has applied  time-series aggregation and added latitude-longitude coordinate variables to publish the RFC QPE data. Web services provide users with direct (index-based) data access, rendered visualizations of the data, and resampled raster representations of the source data in common geographic information formats.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20133035","usgsCitation":"Blodgett, D.L., 2013, New service interface for River Forecasting Center derived quantitative precipitation estimates: U.S. Geological Survey Fact Sheet 2013-3035, 2 p., https://doi.org/10.3133/sir20133035.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":276568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":276566,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3035/"},{"id":276567,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3035/pdf/fs2013-3035.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81eee4b0d6ca46067db4","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":482476,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047546,"text":"70047546 - 2013 - Trends in concentrations of nitrate and total dissolved solids in public supply wells of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins, San Bernardino County, California: Influence of legacy land use","interactions":[],"lastModifiedDate":"2018-06-04T14:42:11","indexId":"70047546","displayToPublicDate":"2013-08-11T17:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Trends in concentrations of nitrate and total dissolved solids in public supply wells of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins, San Bernardino County, California: Influence of legacy land use","docAbstract":"Concentrations and temporal changes in concentrations of nitrate and total dissolved solids (TDS) in groundwater of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins of the Upper Santa Ana Valley Groundwater Basin were evaluated to identify trends and factors that may be affecting trends. One hundred, thirty-one public-supply wells were selected for analysis based on the availability of data spanning at least 11 years between the late 1980s and the 2000s.\n\nForty-one of the 131 wells (31%) had a significant (p < 0.10) increase in nitrate and 14 wells (11%) had a significant decrease in nitrate. For TDS, 46 wells (35%) had a significant increase and 8 wells (6%) had a significant decrease. Slopes for the observed significant trends ranged from − 0.44 to 0.91 mg/L/yr for nitrate (as N) and − 8 to 13 mg/L/yr for TDS.\n\nIncreasing nitrate trends were associated with greater well depth, higher percentage of agricultural land use, and being closer to the distal end of the flow system. Decreasing nitrate trends were associated with the occurrence of volatile organic compounds (VOCs); VOC occurrence decreases with increasing depth.\n\nThe relations of nitrate trends to depth, lateral position, and VOCs imply that increasing nitrate concentrations are associated with nitrate loading from historical agricultural land use and that more recent urban land use is generally associated with lower nitrate concentrations and greater VOC occurrence. Increasing TDS trends were associated with relatively greater current nitrate concentrations and relatively greater amounts of urban land. Decreasing TDS trends were associated with relatively greater amounts of natural land use. Trends in TDS concentrations were not related to depth, lateral position, or VOC occurrence, reflecting more complex factors affecting TDS than nitrate in the study area.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.02.042","usgsCitation":"Kent, R., and Landon, M.K., 2013, Trends in concentrations of nitrate and total dissolved solids in public supply wells of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins, San Bernardino County, California: Influence of legacy land use: Science of the Total Environment, v. 452-453, p. 125-136, https://doi.org/10.1016/j.scitotenv.2013.02.042.","productDescription":"12 p.","startPage":"125","endPage":"136","ipdsId":"IP-017192","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":276290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276289,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.02.042"}],"country":"United States","state":"California","county":"San Bernardino County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.8026,33.871 ], [ -117.8026,35.8093 ], [ -114.1308,35.8093 ], [ -114.1308,33.871 ], [ -117.8026,33.871 ] ] ] } } ] }","volume":"452-453","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5208a45de4b0058b906bf5b4","contributors":{"authors":[{"text":"Kent, Robert 0000-0003-4174-9467 rhkent@usgs.gov","orcid":"https://orcid.org/0000-0003-4174-9467","contributorId":1445,"corporation":false,"usgs":true,"family":"Kent","given":"Robert","email":"rhkent@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482334,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047547,"text":"70047547 - 2013 - Pre-flight calibration and initial data processing for the ChemCam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover","interactions":[],"lastModifiedDate":"2014-04-24T09:32:03","indexId":"70047547","displayToPublicDate":"2013-08-11T17:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3464,"text":"Spectrochimica Acta Part B: Atomic Spectroscopy","active":true,"publicationSubtype":{"id":10}},"title":"Pre-flight calibration and initial data processing for the ChemCam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover","docAbstract":"The ChemCam instrument package on the Mars Science Laboratory rover, Curiosity, is the first planetary science instrument to employ laser-induced breakdown spectroscopy (LIBS) to determine the compositions of geological samples on another planet. Pre-processing of the spectra involves subtracting the ambient light background, removing noise, removing the electron continuum, calibrating for the wavelength, correcting for the variable distance to the target, and applying a wavelength-dependent correction for the instrument response. Further processing of the data uses multivariate and univariate comparisons with a LIBS spectral library developed prior to launch as well as comparisons with several on-board standards post-landing. The level-2 data products include semi-quantitative abundances derived from partial least squares regression.\n\nA LIBS spectral library was developed using 69 rock standards in the form of pressed powder disks, glasses, and ceramics to minimize heterogeneity on the scale of the observation (350–550 μm dia.). The standards covered typical compositional ranges of igneous materials and also included sulfates, carbonates, and phyllosilicates. The provenance and elemental and mineralogical compositions of these standards are described. Spectral characteristics of this data set are presented, including the size distribution and integrated irradiances of the plasmas, and a proxy for plasma temperature as a function of distance from the instrument. Two laboratory-based clones of ChemCam reside in Los Alamos and Toulouse for the purpose of adding new spectra to the database as the need arises. Sensitivity to differences in wavelength correlation to spectral channels and spectral resolution has been investigated, indicating that spectral registration needs to be within half a pixel and resolution needs to match within 1.5 to 2.6 pixels. Absolute errors are tabulated for derived compositions of each major element in each standard using PLS regression. Sources of errors are investigated and discussed, and methods for improving the analytical accuracy of compositions derived from ChemCam spectra are discussed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Spectrochimica Acta Part B: Atomic Spectroscopy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.sab.2013.02.003","usgsCitation":"Wiens, R.C., Maurice, S., Lasue, J., Forni, O., Anderson, R., Clegg, S., Bender, S., Blaney, D., Barraclough, B., Cousin, A., DeFlores, L., Delapp, D., Dyar, M., Fabre, C., Gasnault, O., Lanza, N., Mazoyer, J., Melikechi, N., Meslin, P., Newsom, H., Ollila, A., Perez, R., Tokar, R., and Vaniman, D., 2013, Pre-flight calibration and initial data processing for the ChemCam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover: Spectrochimica Acta Part B: Atomic Spectroscopy, v. 82, p. 1-27, https://doi.org/10.1016/j.sab.2013.02.003.","productDescription":"27 p.","startPage":"1","endPage":"27","ipdsId":"IP-044322","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":473600,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.sab.2013.02.003","text":"Publisher Index Page"},{"id":276288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276264,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.sab.2013.02.003"}],"volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5208a45ce4b0058b906bf5b0","contributors":{"authors":[{"text":"Wiens, R. 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R.B.","contributorId":48693,"corporation":false,"usgs":true,"family":"Anderson","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":482347,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clegg, S.","contributorId":32728,"corporation":false,"usgs":true,"family":"Clegg","given":"S.","affiliations":[],"preferred":false,"id":482343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bender, S.","contributorId":103038,"corporation":false,"usgs":true,"family":"Bender","given":"S.","email":"","affiliations":[],"preferred":false,"id":482359,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blaney, D.","contributorId":72513,"corporation":false,"usgs":true,"family":"Blaney","given":"D.","email":"","affiliations":[],"preferred":false,"id":482349,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barraclough, 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,{"id":70047550,"text":"sim3261 - 2013 - California State Waters Map Series: Offshore of Carpinteria, California","interactions":[],"lastModifiedDate":"2022-04-15T21:36:17.114029","indexId":"sim3261","displayToPublicDate":"2013-08-11T16:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3261","title":"California State Waters Map Series: Offshore of Carpinteria, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.\n\nThe Offshore of Carpinteria map area lies within the central Santa Barbara Channel region of the Southern California Bight. This geologically complex region forms a major biogeographic transition zone, separating the cold-temperate Oregonian province north of Point Conception from the warm-temperate California province to the south. The map area is in the southern part of the Western Transverse Ranges geologic province, which is north of the California Continental Borderland. Significant clockwise rotation—at least 90°—since the early Miocene has been proposed for the Western Transverse Ranges province, and the region is presently undergoing north-south shortening.\n\nThe small city of Carpinteria is the most significant onshore cultural center in the map area; the smaller town of Summerland lies west of Carpinteria. These communities rest on a relatively flat coastal piedmont that is surrounded on the north, east, and west by hilly relief on the flanks of the Santa Ynez Mountains. El Estero, a salt marsh on the coast west of Carpinteria, is an ecologically important coastal estuary. Southeast of Carpinteria, the coastal zone is narrow strip containing highway and railway transportation corridors and a few small residential clusters. Rincon Point is a well-known world-class surf break, and Rincon Island, constructed for oil and gas production, lies offshore of Punta Gorda. The steep bluffs backing the coastal strip are geologically unstable, and coastal erosion problems are ongoing in the map area; most notably, landslides in 2005 struck the small coastal community of La Conchita, engulfing houses and killing ten people.\n\nThe Offshore of Carpinteria map area lies in the central part of the Santa Barbara littoral cell, whose littoral drift is to the east-southeast. Drift rates have been estimated to be about 400,000 tons/yr at Santa Barbara Harbor (about 15 km west of Carpinteria). At the east end of the littoral cell, eastward-moving sediment is trapped by Hueneme and Mugu Canyons and then transported to the deep-water Santa Monica Basin. Sediment supply to the western and central part of the littoral cell is largely from relatively small transverse coastal watersheds, which have an estimated cumulative annual sediment flux of 640,000 tons/yr. The much larger Ventura and Santa Clara Rivers, the mouths of which are about 25 to 30 km southeast of Carpinteria, yield an estimated 3.4 million tons of sediment annually, the coarser sediment load generally moving southeast, down the coast, and the finer sediment load moving both upcoast and offshore.\n\nThe offshore part of the map area consists of a relatively flat and shallow continental shelf, which dips so gently (about 0.4° to 0.5°) that water depths at the 3-nautical-mile limit of California’s State Waters are 40 to 45 m. This part of the Santa Barbara Channel is relatively well protected from large Pacific swells from the north and northwest by Point Conception and from the south and southwest by offshore islands and banks. Fair-weather wave base is typically shallower than 20-m water depth, but winter storms are capable of resuspending fine-grained sediments in 30 m of water, and so shelf sediments in the map area probably are remobilized on an annual basis. The shelf is underlain by variable amounts of upper Quaternary shelf, estuarine, and fluvial sediments that thicken to the south.\n\nSeafloor habitats in the broad Santa Barbara Channel region consist of significant amounts of soft sediment and isolated areas of rocky habitat that support kelp-forest communities nearshore and rocky-reef communities in deep water. The potential marine benthic habitat types mapped in the Offshore of Carpinteria map area are directly related to its Quaternary geologic history, geomorphology, and active sedimentary processes. These potential habitats lie within the Shelf (continental shelf) megahabitat, dominated by a flat seafloor and substrates formed from deposition of fluvial and marine sediment during sea-level rise. This fairly homogeneous seafloor provides promising habitat for groundfish, crabs, shrimp, and other marine benthic organisms. The only significant interruptions to this homogeneous habitat type are the exposures of hard, irregular, and hummocky sedimentary bedrock and coarse-grained sediment where potential habitats for rockfish and related species exist.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3261","usgsCitation":"Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N., Phillips, E., Ritchie, A.C., Kvitek, R.G., Greene, H., Endris, C.A., Seitz, G., Sliter, R.W., Erdey, M.D., Wong, F.L., Gutierrez, C.I., Krigsman, L., Draut, A.E., and Hart, P.E., 2013, California State Waters Map Series: Offshore of Carpinteria, California: U.S. Geological Survey Scientific Investigations Map 3261, Pamphlet: iv, 42 p.; Maps: 10 Sheets: 49.00 × 36.00 inches or smaller; Metadata; Data Catalog, https://doi.org/10.3133/sim3261.","productDescription":"Pamphlet: iv, 42 p.; Maps: 10 Sheets: 49.00 × 36.00 inches or smaller; Metadata; Data 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,{"id":70047549,"text":"ds781 - 2013 - California State Waters Map series data catalog","interactions":[],"lastModifiedDate":"2025-08-25T13:29:33.311311","indexId":"ds781","displayToPublicDate":"2013-08-11T16:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"781","title":"California State Waters Map series data catalog","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California's State Waters. The CSMP approach is to create highly detailed seafloor maps and associated data layers through the collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data.\n\nCSMP has divided coastal California into 110 map blocks (fig. 1), each to be published individually as USGS Scientific Investigations Maps (SIMs) at a scale of 1:24,000. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the seafloor geology and shallow (to about 100 m) subsurface geology.\n\nThis CSMP data catalog contains much of the data used to prepare the SIMs in the California State Waters Map Series. Other data that were used to prepare the maps were compiled from previously published sources (for example, onshore geology) and, thus, are not included herein.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds781","usgsCitation":"Golden, N.E. and Cochrane, G.R., compilers, 2013, California State Waters Map Series Data Catalog: U.S. Geological Survey Data Series 781, https://doi.org/10.3133/ds781.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":276266,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ds781.png"},{"id":276265,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/781/"},{"id":427679,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://pubs.usgs.gov/ds/781/#datacatalogs","text":"Download Data and Reports: USGS Data Series"},{"id":494531,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/781/versionHist.txt","linkFileType":{"id":2,"text":"txt"},"description":"Version History"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2013-08-08","revisedDate":"2025-08-22","noUsgsAuthors":false,"publicationDate":"2013-08-08","publicationStatus":"PW","scienceBaseUri":"5208a44fe4b0058b906bf5a0","contributors":{"compilers":[{"text":"Golden, Nadine E. 0000-0001-6007-6486 ngolden@usgs.gov","orcid":"https://orcid.org/0000-0001-6007-6486","contributorId":146220,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine","email":"ngolden@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":886957,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","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":886958,"contributorType":{"id":3,"text":"Compilers"},"rank":2}]}}
,{"id":70047544,"text":"sim3265 - 2013 - Estimation of reservoir storage capacity using multibeam sonar and terrestrial lidar, Randy Poynter Lake, Rockdale County, Georgia, 2012","interactions":[],"lastModifiedDate":"2017-01-13T09:46:27","indexId":"sim3265","displayToPublicDate":"2013-08-09T11:03:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3265","title":"Estimation of reservoir storage capacity using multibeam sonar and terrestrial lidar, Randy Poynter Lake, Rockdale County, Georgia, 2012","docAbstract":"The U.S. Geological Survey, in cooperation with the Rockdale County Department of Water Resources, conducted a bathymetric and topographic survey of Randy Poynter Lake in northern Georgia in 2012. The Randy Poynter Lake watershed drains surface area from Rockdale, Gwinnett, and Walton Counties. The reservoir serves as the water supply for the Conyers-Rockdale Big Haynes Impoundment Authority.\n\nThe Randy Poynter reservoir was surveyed to prepare a current bathymetric map and determine storage capacities at specified water-surface elevations. Topographic and bathymetric data were collected using a marine-based mobile mapping unit to estimate storage capacity. The marine-based mobile mapping unit operates with several components: multibeam echosounder, singlebeam echosounder, light detection and ranging system, navigation and motion-sensing system, and data acquisition computer. All data were processed and combined to develop a triangulated irregular network, a reservoir capacity table, and a bathymetric contour map.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3265","collaboration":"Prepared in cooperation with the Rockdale County Department of Water Resources","usgsCitation":"Lee, K., 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial lidar, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, Map: 1 Sheet: 34 x 32 inches, https://doi.org/10.3133/sim3265.","productDescription":"Map: 1 Sheet: 34 x 32 inches","onlineOnly":"Y","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":276260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3265.jpg"},{"id":276258,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3265/"},{"id":276259,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3265/pdf/sim3265.pdf"}],"country":"United States","state":"Georgia","county":"Rockdale County","otherGeospatial":"Randy Poynter Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.956548,33.729426 ], [ -83.956548,33.761707 ], [ -83.92808,33.761707 ], [ -83.92808,33.729426 ], [ -83.956548,33.729426 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52060151e4b08a2ec8694b00","contributors":{"authors":[{"text":"Lee, K.G.","contributorId":28319,"corporation":false,"usgs":true,"family":"Lee","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":482320,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047530,"text":"ofr20131078 - 2013 - Distribution of late Pleistocene ice-rich syngenetic permafrost of the Yedoma Suite in east and central Siberia, Russia","interactions":[],"lastModifiedDate":"2013-08-08T13:57:09","indexId":"ofr20131078","displayToPublicDate":"2013-08-08T13:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1078","title":"Distribution of late Pleistocene ice-rich syngenetic permafrost of the Yedoma Suite in east and central Siberia, Russia","docAbstract":"This digital database is the product of collaboration between the U.S. Geological Survey, the Geophysical Institute at the University of Alaska, Fairbanks; the Los Altos Hills Foothill College GeoSpatial Technology Certificate Program; the Alfred Wegener Institute for Polar and Marine Research, Potsdam, Germany; and the Institute of Physical Chemical and Biological Problems in Soil Science of the Russian Academy of Sciences. The primary goal for creating this digital database is to enhance current estimates of soil organic carbon stored in deep permafrost, in particular the late Pleistocene syngenetic ice-rich permafrost deposits of the Yedoma Suite. Previous studies estimated that Yedoma deposits cover about 1 million square kilometers of a large region in central and eastern Siberia, but these estimates generally are based on maps with scales smaller than 1:10,000,000. Taking into account this large area, it was estimated that Yedoma may store as much as 500 petagrams of soil organic carbon, a large part of which is vulnerable to thaw and mobilization from thermokarst and erosion.\n\nTo refine assessments of the spatial distribution of Yedoma deposits, we digitized 11 Russian Quaternary geologic maps. Our study focused on extracting geologic units interpreted by us as late Pleistocene ice-rich syngenetic Yedoma deposits based on lithology, ground ice conditions, stratigraphy, and geomorphological and spatial association. These Yedoma units then were merged into a single data layer across map tiles. The spatial database provides a useful update of the spatial distribution of this deposit for an approximately 2.32 million square kilometers land area in Siberia that will (1) serve as a core database for future refinements of Yedoma distribution in additional regions, and (2) provide a starting point to revise the size of deep but thaw-vulnerable permafrost carbon pools in the Arctic based on surface geology and the distribution of cryolithofacies types at high spatial resolution. However, we recognize that the extent of Yedoma deposits presented in this database is not complete for a global assessment, because Yedoma deposits also occur in the Taymyr lowlands and Chukotka, and in parts of Alaska and northwestern Canada.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131078","usgsCitation":"Grosse, G., Robinson, J., Bryant, R., Taylor, M.D., Harper, W., DeMasi, A., Kyker-Snowman, E., Veremeeva, A., Schirrmeister, L., and Harden, J., 2013, Distribution of late Pleistocene ice-rich syngenetic permafrost of the Yedoma Suite in east and central Siberia, Russia: U.S. Geological Survey Open-File Report 2013-1078, v, 24 p.; Metadata; GIS data, https://doi.org/10.3133/ofr20131078.","productDescription":"v, 24 p.; Metadata; GIS data","numberOfPages":"31","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":276232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131078.jpg"},{"id":276229,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1078/pdf/ofr20131078.pdf"},{"id":276227,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1078/"},{"id":276231,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1078/ofr20131078_GIS.zip"},{"id":276230,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2013/1078/ofr20131078_metadata.txt"}],"country":"Russia","otherGeospatial":"Siberia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 57.1,42.3 ], [ 57.1,81.3 ], [ -169.0,81.3 ], [ -169.0,42.3 ], [ 57.1,42.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afd8e4b0403aa62629a6","contributors":{"authors":[{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":482283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":482275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryant, Robin","contributorId":43262,"corporation":false,"usgs":true,"family":"Bryant","given":"Robin","email":"","affiliations":[],"preferred":false,"id":482278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Maxwell D.","contributorId":6360,"corporation":false,"usgs":true,"family":"Taylor","given":"Maxwell","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":482276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harper, William","contributorId":62123,"corporation":false,"usgs":true,"family":"Harper","given":"William","email":"","affiliations":[],"preferred":false,"id":482281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeMasi, Amy","contributorId":28887,"corporation":false,"usgs":true,"family":"DeMasi","given":"Amy","email":"","affiliations":[],"preferred":false,"id":482277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kyker-Snowman, Emily","contributorId":54874,"corporation":false,"usgs":true,"family":"Kyker-Snowman","given":"Emily","email":"","affiliations":[],"preferred":false,"id":482280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Veremeeva, Alexandra","contributorId":68637,"corporation":false,"usgs":true,"family":"Veremeeva","given":"Alexandra","affiliations":[],"preferred":false,"id":482282,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schirrmeister, Lutz","contributorId":102777,"corporation":false,"usgs":true,"family":"Schirrmeister","given":"Lutz","affiliations":[],"preferred":false,"id":482284,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Harden, Jennifer","contributorId":46190,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","affiliations":[],"preferred":false,"id":482279,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70047523,"text":"ds783 - 2013 - Locations and attributes of wind turbines in New Mexico, 2011","interactions":[],"lastModifiedDate":"2013-08-08T12:56:48","indexId":"ds783","displayToPublicDate":"2013-08-08T12:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"783","title":"Locations and attributes of wind turbines in New Mexico, 2011","docAbstract":"This dataset represents an update to U.S. Geological Survey Data Series 596. Locations and attributes of wind turbines in New Mexico, 2009 (available at http://pubs.usgs.gov/ds/596/).This updated New Mexico wind turbine Data Series provides geospatial data for all 562 wind turbines established within the State of New Mexico as of June 2011, an increase of 155 wind turbines from 2009.\n\nAttributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of turbines associated with each facility to date, facility developer, facility ownership, and year the facility went online. The locations of turbines are derived from 1-meter true-color aerial photographs produced by the National Agriculture Imagery Program (NAIP); the photographs have a positional accuracy of about &plusmn;5 meters. The locations of turbines constructed during or prior to August 2009 are based on August 2009 NAIP imagery and turbine locations constructed after August 2009 were based June 2011 NAIP imagery. The location of turbines under construction during June 2011 likely will be less accurate than the location of existing turbines.\n\nThis data series contributes to an Online Interactive Energy Atlas developed by the U.S. Geological Survey (http://my.usgs.gov/eerma/). The Energy Atlas synthesizes data on existing and potential energy development in Colorado and New Mexico and includes additional natural resource data layers. This information may be used by decisionmakers to evaluate and compare the potential benefits and tradeoffs associated with different energy development strategies or scenarios. Interactive maps, downloadable data layers, comprehensive metadata, and decision-support tools also are included in the Energy Atlas. The format of the Energy Atlas is designed to facilitate the integration of information about energy with key terrestrial and aquatic resources for evaluating resource values and minimizing risks from energy development.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds783","usgsCitation":"Carr, N.B., Diffendorfer, J.B., Fancher, T.S., Hawkins, S.J., Latysh, N., Leib, K.J., and Matherne, A.M., 2013, Locations and attributes of wind turbines in New Mexico, 2011: U.S. Geological Survey Data Series 783, 3 p.; Downloads Directory, https://doi.org/10.3133/ds783.","productDescription":"3 p.; Downloads Directory","numberOfPages":"3","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":276221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds783.png"},{"id":276220,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/783/downloads/"},{"id":276218,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/783/"},{"id":276219,"type":{"id":1,"text":"Abstract"},"url":"https://pubs.usgs.gov/ds/783/pdf/DS783_abstract-508.pdf"}],"country":"United States","state":"New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.05,31.33 ], [ -109.05,37.0 ], [ -103.0,37.0 ], [ -103.0,31.33 ], [ -109.05,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afdae4b0403aa62629b2","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James B.","contributorId":62120,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":482260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fancher, Tammy S. 0000-0002-1318-3614 fanchert@usgs.gov","orcid":"https://orcid.org/0000-0002-1318-3614","contributorId":3788,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy","email":"fanchert@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true}],"preferred":true,"id":482256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":482255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482254,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
]}