{"pageNumber":"39","pageRowStart":"950","pageSize":"25","recordCount":3813,"records":[{"id":70049060,"text":"fs20133100 - 2013 - National Satellite Land Remote Sensing Data Archive","interactions":[{"subject":{"id":70049060,"text":"fs20133100 - 2013 - National Satellite Land Remote Sensing Data Archive","indexId":"fs20133100","publicationYear":"2013","noYear":false,"title":"National Satellite Land Remote Sensing Data Archive"},"predicate":"SUPERSEDED_BY","object":{"id":70196670,"text":"fs20183027 - 2018 - National Satellite Land Remote Sensing Data Archive","indexId":"fs20183027","publicationYear":"2018","noYear":false,"title":"National Satellite Land Remote Sensing Data Archive"},"id":1}],"supersededBy":{"id":70196670,"text":"fs20183027 - 2018 - National Satellite Land Remote Sensing Data Archive","indexId":"fs20183027","publicationYear":"2018","noYear":false,"title":"National Satellite Land Remote Sensing Data Archive"},"lastModifiedDate":"2018-06-12T14:58:38","indexId":"fs20133100","displayToPublicDate":"2013-12-19T14:55:00","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":"2013-3100","title":"National Satellite Land Remote Sensing Data Archive","docAbstract":"The National Satellite Land Remote Sensing Data Archive (NSLRSDA) resides at the U.S. Geological Survey's (USGS) Earth Resources Observation and Science (EROS) Center. Through the Land Remote Sensing Policy Act of 1992, the U.S. Congress directed the Department of the Interior (DOI) to establish a permanent Government archive containing satellite remote sensing data of the Earth's land surface and to make this data easily accessible and readily available. This unique DOI/USGS archive provides a comprehensive, permanent, and impartial observational record of the planet's land surface obtained throughout more than five decades of satellite remote sensing. Satellite-derived data and information products are primary sources used to detect and understand changes such as deforestation, desertification, agricultural crop vigor, water quality, invasive plant species, and certain natural hazards such as flood extent and wildfire scars.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133100","issn":"2327-6932","usgsCitation":"Faundeen, J., Kelly, F.P., Holm, T.M., and Nolt, J.E., 2013, National Satellite Land Remote Sensing Data Archive: U.S. Geological Survey Fact Sheet 2013-3100, 2 p., https://doi.org/10.3133/fs20133100.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-050868","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":280438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133100.jpg"},{"id":280436,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3100/"},{"id":280437,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3100/pdf/fs13-3100.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b41581e4b029a4958c9d19","contributors":{"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":486086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Francis P. fkelly@usgs.gov","contributorId":5099,"corporation":false,"usgs":true,"family":"Kelly","given":"Francis","email":"fkelly@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":486087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holm, Thomas M. holm@usgs.gov","contributorId":261,"corporation":false,"usgs":true,"family":"Holm","given":"Thomas","email":"holm@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":486085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nolt, Jenna E. jnolt@usgs.gov","contributorId":133,"corporation":false,"usgs":true,"family":"Nolt","given":"Jenna","email":"jnolt@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":486084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70049014,"text":"fs20133109 - 2013 - Real-time continuous nitrate monitoring in Illinois in 2013","interactions":[],"lastModifiedDate":"2013-12-19T11:47:58","indexId":"fs20133109","displayToPublicDate":"2013-12-19T11:39:00","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":"2013-3109","title":"Real-time continuous nitrate monitoring in Illinois in 2013","docAbstract":"Many sources contribute to the nitrogen found in surface water in Illinois. Illinois is located in the most productive agricultural area in the country, and nitrogen fertilizer is commonly used to maximize corn production in this area. Additionally, septic/wastewater systems, industrial emissions, and lawn fertilizer are common sources of nitrogen in urban areas of Illinois. In agricultural areas, the use of fertilizer has increased grain production to meet the needs of a growing population, but also has resulted in increases in nitrogen concentrations in many streams and aquifers (Dubrovsky and others, 2010). The urban sources can increase nitrogen concentrations, too. The Federal limit for nitrate nitrogen in water that is safe to drink is 10 milligrams per liter (mg/L) (http://water.epa.gov/drink/contaminants/basicinformation/nitrate.cfm, accessed on May 24, 2013). In addition to the concern with nitrate nitrogen in drinking water, nitrogen, along with phosphorus, is an aquatic concern because it feeds the intensive growth of algae that are responsible for the hypoxic zone in the Gulf of Mexico. The largest nitrogen flux to the waters feeding the Gulf of Mexico is from Illinois (Alexander and others, 2008). Most studies of nitrogen in surface water and groundwater include samples for nitrate nitrogen collected weekly or monthly, but nitrate concentrations can change rapidly and these discrete samples may not capture rapid changes in nitrate concentrations that can affect human and aquatic health. Continuous monitoring for nitrate could inform scientists and water-resource managers of these changes and provide information on the transport of nitrate in surface water and groundwater.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133109","usgsCitation":"Warner, K., Terrio, P.J., Straub, T., Roseboom, D., and Johnson, G.P., 2013, Real-time continuous nitrate monitoring in Illinois in 2013: U.S. Geological Survey Fact Sheet 2013-3109, 3 p., https://doi.org/10.3133/fs20133109.","productDescription":"3 p.","ipdsId":"IP-045559","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":280431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133109.jpg"},{"id":280429,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3109/pdf/fs2013-3109.pdf"},{"id":280430,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3109/"}],"country":"United States","state":"Illinois","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.51,36.97 ], [ -91.51,42.51 ], [ -87.5,42.51 ], [ -87.5,36.97 ], [ -91.51,36.97 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b41581e4b029a4958c9d20","contributors":{"authors":[{"text":"Warner, Kelly L. klwarner@usgs.gov","contributorId":655,"corporation":false,"usgs":true,"family":"Warner","given":"Kelly L.","email":"klwarner@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terrio, Paul J. 0000-0002-1515-9570 pjterrio@usgs.gov","orcid":"https://orcid.org/0000-0002-1515-9570","contributorId":3313,"corporation":false,"usgs":true,"family":"Terrio","given":"Paul","email":"pjterrio@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roseboom, Donald roseboom@usgs.gov","contributorId":3974,"corporation":false,"usgs":true,"family":"Roseboom","given":"Donald","email":"roseboom@usgs.gov","affiliations":[],"preferred":true,"id":486028,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Gary P. 0000-0003-0363-9873 gjohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-0363-9873","contributorId":2959,"corporation":false,"usgs":true,"family":"Johnson","given":"Gary","email":"gjohnson@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":486026,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70056150,"text":"fs20133112 - 2013 - Interactive energy atlas for Colorado and New Mexico: an online resource for decisionmakers","interactions":[],"lastModifiedDate":"2018-08-10T16:12:15","indexId":"fs20133112","displayToPublicDate":"2013-12-18T11:23:00","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":"2013-3112","title":"Interactive energy atlas for Colorado and New Mexico: an online resource for decisionmakers","docAbstract":"Throughout the western United States, increased demand for energy is driving the rapid development of nonrenewable and renewable energy resources. Resource managers must balance the benefits of energy development with the potential consequences for ecological resources and ecosystem services. To facilitate access to geospatial data related to energy resources, energy infrastructure, and natural resources that may be affected by energy development, the U.S. Geological Survey has developed an online Interactive Energy Atlas (Energy Atlas) for Colorado and New Mexico. The Energy Atlas is designed to meet the needs of varied users who seek information about energy in the western United States. The Energy Atlas has two primary capabilities: a geographic information system (GIS) data viewer and an interactive map gallery. The GIS data viewer allows users to preview and download GIS data related to energy potential and development in Colorado and New Mexico. The interactive map gallery contains a collection of maps that compile and summarize thematically related data layers in a user-friendly format. The maps are dynamic, allowing users to explore data at different resolutions and obtain information about the features being displayed. The Energy Atlas also includes an interactive decision-support tool, which allows users to explore the potential consequences of energy development for species that vary in their sensitivity to disturbance.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133112","usgsCitation":"Carr, N.B., Ignizio, D., Diffendorfer, J., Latysh, N., Matherne, A.M., Linard, J.I., Leib, K.J., and Hawkins, S.J., 2013, Interactive energy atlas for Colorado and New Mexico: an online resource for decisionmakers: U.S. Geological Survey Fact Sheet 2013-3112, 2 p., https://doi.org/10.3133/fs20133112.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-045619","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":280402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133112.jpg"},{"id":280400,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3112/"},{"id":280401,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3112/pdf/fs2013-3112.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,31.33 ], [ -109.06,41.0 ], [ -102.04,41.0 ], [ -102.04,31.33 ], [ -109.06,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b2c405e4b08e3289f15709","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":486345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":4822,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew A.","email":"dignizio@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":486348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":486346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":486343,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matherne, Ann Marie","contributorId":73909,"corporation":false,"usgs":true,"family":"Matherne","given":"Ann","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":486349,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486344,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":486342,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":486347,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70049023,"text":"fs20133058 - 2013 - The 3D Elevation Program: summary for Florida","interactions":[],"lastModifiedDate":"2016-08-17T16:00:47","indexId":"fs20133058","displayToPublicDate":"2013-12-18T11:04:00","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":"2013-3058","title":"The 3D Elevation Program: summary for Florida","docAbstract":"

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 Florida, elevation data are critical for natural resources conservation; flood risk management; infrastructure and construction management; coastal zone management; sea level rise and subsidence; wildfire management, planning, and response; 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, 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.

\n

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 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios.The new 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 OMB Circular A–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’s natural and constructed features.

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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":486038,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70059027,"text":"fs20133118 - 2013 - Methane occurrence in groundwater of south-central New York State, 2012: summary of findings","interactions":[],"lastModifiedDate":"2013-12-17T11:33:28","indexId":"fs20133118","displayToPublicDate":"2013-12-17T11:27:00","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":"2013-3118","title":"Methane occurrence in groundwater of south-central New York State, 2012: summary of findings","docAbstract":"A survey of methane in groundwater was undertaken to document methane occurrence on the basis of hydrogeologic setting within a glaciated 1,810-square-mile area of south-central New York that has not seen shale-gas resource development. The adjacent region in northeastern Pennsylvania has undergone shale-gas resource development from the Marcellus Shale.\n\nWell construction and subsurface data were required for each well sampled so that the local hydrogeologic setting could be classified. All wells were also at least 1 mile from any known gas well (active, exploratory, or abandoned). Sixty-six domestic wells and similar purposed supply wells were sampled during summer 2012. Field water-quality characteristics (pH, specific conductance, dissolved oxygen, and temperature) were measured at each well, and samples were collected and analyzed for dissolved gases, including methane and short-chain hydrocarbons. Carbon and hydrogen isotopic ratios of methane were measured in 21 samples that had at least 0.3 milligram per liter (mg/L) methane.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133118","issn":"2327-6932","usgsCitation":"Heisig, P.M., and Scott, T., 2013, Methane occurrence in groundwater of south-central New York State, 2012: summary of findings: U.S. Geological Survey Fact Sheet 2013-3118, 2 p., https://doi.org/10.3133/fs20133118.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-053308","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":280366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133118.jpg"},{"id":280365,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3118/pdf/fs2013-3118.pdf"},{"id":280364,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3118"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.0,41.0 ], [ -78.0,43.0 ], [ -75.0,43.0 ], [ -75.0,41.0 ], [ -78.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172c0e4b0d9b3252245f6","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487439,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70056164,"text":"fs20133111 - 2013 - Energy and Minerals Science at the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2013-12-12T16:15:58","indexId":"fs20133111","displayToPublicDate":"2013-12-12T15:59:00","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":"2013-3111","title":"Energy and Minerals Science at the U.S. Geological Survey","docAbstract":"The economy, national security, and standard of living of the United States depend on adequate and reliable supplies of energy and mineral resources. Based on population and consumption trends, the Nation’s and World’s use of energy and minerals is expected to grow, driving the demand for scientific understanding of resource formation, location, and availability. The importance of environmental stewardship and human health in sustainable growth emphasizes the need for a broader understanding of energy and mineral resources. The U.S. Geological Survey (USGS) is a world leader in conducting research needed to address these challenges and to provide a scientific foundation for policy and decisionmaking with respect to resource use, sustainability, environmental protection, and an adaptive resource management approach.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133111","issn":"2327-6932","usgsCitation":"Ferrero, R.C., Kolak, J.J., Bills, D., Bowen, Z.H., Cordier, D.J., Gallegos, T.J., Hein, J.R., Kelley, K., Nelson, P.H., Nuccio, V.F., Schmidt, J.M., and Seal, R., 2013, Energy and Minerals Science at the U.S. Geological Survey: U.S. Geological Survey Fact Sheet 2013-3111, 2 p., https://doi.org/10.3133/fs20133111.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-049262","costCenters":[{"id":260,"text":"Energy and Minerals","active":false,"usgs":true}],"links":[{"id":280285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133111.jpg"},{"id":280283,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3111/"},{"id":280284,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3111/pdf/fs2013-3111.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52aadaf0e4b078ad3e40e3a3","contributors":{"authors":[{"text":"Ferrero, Richard C. rferrero@usgs.gov","contributorId":473,"corporation":false,"usgs":true,"family":"Ferrero","given":"Richard","email":"rferrero@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":486368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolak, Jonathan J.","contributorId":59100,"corporation":false,"usgs":true,"family":"Kolak","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bills, Donald J. djbills@usgs.gov","contributorId":4180,"corporation":false,"usgs":true,"family":"Bills","given":"Donald J.","email":"djbills@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":486369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cordier, Daniel J.","contributorId":14678,"corporation":false,"usgs":true,"family":"Cordier","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486376,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - 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II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":486367,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70049025,"text":"fs20133080 - 2013 - Origin and characteristics of discharge at San Marcos Springs, south-central Texas","interactions":[],"lastModifiedDate":"2016-08-05T13:22:06","indexId":"fs20133080","displayToPublicDate":"2013-12-03T10:56:00","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":"2013-3080","title":"Origin and characteristics of discharge at San Marcos Springs, south-central Texas","docAbstract":"

The Edwards aquifer in south-central Texas is one of the most productive aquifers in the Nation and is the primary source of water for the rapidly growing San Antonio area. Springs issuing from the Edwards aquifer provide habitat for several threatened and endangered species, serve as locations for recreational activities, and supply downstream users. Comal Springs and San Marcos Springs are major discharge points for the Edwards aquifer, and their discharges are used as thresholds in groundwater management strategies. Regional flow paths originating in the western part of the aquifer are generally understood to supply discharge at Comal Springs. In contrast, the hydrologic connection of San Marcos Springs with the regional Edwards aquifer flow system is less understood. During November 2008–December 2010, the U.S. Geological Survey, in cooperation with the San Antonio Water System, collected and analyzed hydrologic and geochemical data from springs, groundwater wells, and streams to gain a better understanding of the origin and characteristics of discharge at San Marcos Springs. During the study, climatic and hydrologic conditions transitioned from exceptional drought to wetter than normal. The wide range of hydrologic conditions that occurred during this study—and corresponding changes in surface-water, groundwater and spring discharge, and in physicochemical properties and geochemistry—provides insight into the origin of the water discharging from San Marcos Springs. Three orifices at San Marcos Springs (Deep, Diversion, and Weissmuller Springs) were selected to be representative of larger springs at the spring complex. Key findings include that discharge at San Marcos Springs was dominated by regional recharge sources and groundwater flow paths and that different orifices of San Marcos Springs respond differently to changes in hydrologic conditions; Deep Spring was less responsive to changes in hydrologic conditions than were Diversion Spring and Weissmuller Spring. Also, San Marcos Springs discharge is influenced by mixing with a component of saline groundwater.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133080","issn":"2327-6932","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Musgrove, M., and Crow, C.L., 2013, Origin and characteristics of discharge at San Marcos Springs, south-central Texas: U.S. Geological Survey Fact Sheet 2013-3080, 6 p., https://doi.org/10.3133/fs20133080.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048943","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":280145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133080.jpg"},{"id":280144,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3080/pdf/fs2013-3080.pdf"},{"id":280142,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3080/"}],"country":"United States","state":"Texas","otherGeospatial":"San Marcos Springs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.666667,29.666667 ], [ -98.666667,30.333333 ], [ -97.666667,30.333333 ], [ -97.666667,29.666667 ], [ -98.666667,29.666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529efd71e4b01942f4ab8b8c","contributors":{"authors":[{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":486042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crow, Cassi L. 0000-0002-1279-2485 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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 Alabama, elevation data are critical for flood risk management; infrastructure and construction management; wildfire management, planning, and response; natural resources conservation; 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, 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.

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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 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The new 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A-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’s natural and constructed features.

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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a6407be4b0a6d6958826e8","contributors":{"authors":[{"text":"Carswell, William J. 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":486101,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70055531,"text":"fs20133087 - 2013 - Species data: National inventory of range maps and distribution models","interactions":[],"lastModifiedDate":"2018-12-21T13:02:00","indexId":"fs20133087","displayToPublicDate":"2013-11-12T15:36:00","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":"2013-3087","title":"Species data: National inventory of range maps and distribution models","docAbstract":"

The Gap Analysis Project (GAP) produces data and tools that help meet critical national challenges such as biodiversity conservation, renewable energy development, climate change adaptation, and infrastructure investment. The GAP species data includes vertebrate range maps and distribution models for the continental United States, as well as Alaska, Hawaii, Puerto Rico, and U.S. Virgin Islands. The vertebrate species include amphibians, birds, mammals, and reptiles. Furthermore, data used to create the distribution models (for example, percent canopy cover, elevation, and so forth) also are available.

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The Gap Analysis Project produces data and tools that help meet critical national challenges such as biodiversity conservation, renewable energy development, climate change adaptation, and infrastructure investment. The Protected Areas Database of the United States (PAD-US) is the official inventory of public parks and other protected open space. Consisting of more than 7 billion acres in 436,000 land and marine units, the spatial data in PAD–US include areas managed by greater than 30,000 agencies and nonprofit organizations.

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Science Analytics and Synthesis
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W 6th Ave Kipling St
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https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis
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The Gap Analysis Project (GAP)/Landscape Fire and Resource Management Planning Tools (LANDFIRE) National Terrestrial Ecosystems Data represents detailed data on the vegetation and land-use patterns of the United States, including Alaska, Hawaii, and Puerto Rico. This national dataset combines detailed land cover data generated by the GAP with LANDFIRE data (http://www.landfire.gov/). LANDFIRE is an interagency vegetation, fire, and fuel characteristics mapping program sponsored by the U.S. Department of the Interior (DOI) and the U.S. Department of Agriculture Forest Service.

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Core Science Analytics and Synthesis
U.S. Geological Survey
302 National Center
Reston, VA 20192


http://www.usgs.gov/core_science_systems/
csas/index.html
http://gapanalysis.usgs.gov/

","publishedDate":"2013-11-12","revisedDate":"2016-08-29","noUsgsAuthors":false,"publicationDate":"2013-11-12","publicationStatus":"PW","scienceBaseUri":"53cd639ee4b0b290850feebe","contributors":{"authors":[{"text":"Gergely, Kevin J. 0000-0002-4379-2189 gergely@usgs.gov","orcid":"https://orcid.org/0000-0002-4379-2189","contributorId":2706,"corporation":false,"usgs":true,"family":"Gergely","given":"Kevin","email":"gergely@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":486132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":4542,"corporation":false,"usgs":false,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":486133,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048858,"text":"fs20133072 - 2013 - U.S. Geological Survey water resources Internet tools","interactions":[],"lastModifiedDate":"2017-01-27T11:02:32","indexId":"fs20133072","displayToPublicDate":"2013-11-07T09:35:00","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":"2013-3072","title":"U.S. Geological Survey water resources Internet tools","docAbstract":"

The U.S. Geological Fact Sheet (USGS) provides a wealth of information on hydrologic data, maps, graphs, and other resources for your State.

Sources of water resources information are listed below.

WaterWatch

WaterQualityWatch

Groundwater Watch

WaterNow

WaterAlert

USGS Flood Inundation Mapper

National Water Information System (NWIS)

StreamStats

National Water Quality Assessment (NAWOA)

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133072","usgsCitation":"Shaffer, K.H., 2016, U.S. Geological Survey water resources Internet tools (ver. 1.1 August 2016): U.S. Geological Survey Fact 2013–3072, 2 p., https://dx.doi.org/10.3133/fs20133072.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":278898,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3072/pdf/fs20133072.pdf","size":"6.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2013-3072"},{"id":325346,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2013/3072/versionHist.txt","size":"1 MB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2013-3072"},{"id":278899,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3072/index.html","description":"FS 2013-3072"},{"id":278900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2013/3072/images/coverthbr.jpg"}],"edition":"Version 1.0: Originally posted November 7, 2013; Version 1.1: August 10, 2016","contact":"

Office of Surface Water
U.S. Geological Survey
415 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://water.usgs.gov/osw/

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If they become established, Asian carp are predicted to alter lake ecosystems and impact commercial and recreational fisheries. The Chicago Sanitary and Shipping Canal is an important biological conduit between the Mississippi River Basin, where invasive Asian carp are abundant, and the Great Lakes. Millions of dollars have been spent to erect an electric barrier defense in the canal to prevent movement of Asian carp into the Great Lakes, but the need for additional fish deterrent technologies to supplement the existing barrier is warranted. Scientists with the U.S. Geological Survey Northern Rocky Mountain Science Center are examining seismic water gun technology, formerly used in oceanic oil exploration, as a fish deterrent. The goal of the current study is to employ telemetry and sonar monitoring equipment to assess the behavioral response of Asian carp to seismic water guns and the sound energy it generates.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133098","usgsCitation":"Layhee, M.J., Gross, J.A., Parsley, M.J., Romine, J.G., Glover, D.C., Suski, C.D., Wagner, T.L., Sepulveda, A., and Gresswell, R., 2013, Asian carp behavior in response to static water gun firing: U.S. Geological Survey Fact Sheet 2013-3098, 4 p., https://doi.org/10.3133/fs20133098.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-042911","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":278881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133098.jpg"},{"id":278880,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3098/pdf/fs2013-3098.pdf"},{"id":278879,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3098/"}],"country":"United States","state":"Illinois","city":"Morris;Illinois","otherGeospatial":"Chicago Sanitary And Shipping Canal;Great Lakes;Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.5739,41.2942 ], [ -88.5739,41.8582 ], [ -87.4094,41.8582 ], [ -87.4094,41.2942 ], [ -88.5739,41.2942 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527b64dee4b0a7295d9b5521","contributors":{"authors":[{"text":"Layhee, Megan J. 0000-0003-1359-1455 mlayhee@usgs.gov","orcid":"https://orcid.org/0000-0003-1359-1455","contributorId":3955,"corporation":false,"usgs":true,"family":"Layhee","given":"Megan","email":"mlayhee@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":485711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Jackson A.","contributorId":14273,"corporation":false,"usgs":true,"family":"Gross","given":"Jackson","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsley, Michael J. 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":2608,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":485709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":485710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glover, David C.","contributorId":103562,"corporation":false,"usgs":true,"family":"Glover","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suski, Cory D.","contributorId":31296,"corporation":false,"usgs":true,"family":"Suski","given":"Cory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":485715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tristany L.","contributorId":32442,"corporation":false,"usgs":true,"family":"Wagner","given":"Tristany","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485716,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":485712,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gresswell, Robert E.","contributorId":13194,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert E.","affiliations":[],"preferred":false,"id":485713,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70048772,"text":"fs20133056 - 2013 - The 3D Elevation Program: summary for California","interactions":[],"lastModifiedDate":"2016-08-17T16:03:05","indexId":"fs20133056","displayToPublicDate":"2013-11-04T08:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3056","title":"The 3D Elevation Program: summary for California","docAbstract":"

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 California, elevation data are critical for infrastructure and construction management; natural resources conservation; flood risk management; wildfire management, planning, and response; agriculture and precision farming; geologic resource assessment and hazard mitigation; 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, 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’s natural and constructed features.

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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5278c216e4b0c04ac3417aa4","contributors":{"authors":[{"text":"Carswell, William J. 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":485603,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048765,"text":"fs20133071 - 2013 - Research on pathogens at Great Lakes beaches: sampling, influential factors, and potential sources","interactions":[],"lastModifiedDate":"2013-11-14T17:36:27","indexId":"fs20133071","displayToPublicDate":"2013-11-01T14:09:00","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":"2013-3071","title":"Research on pathogens at Great Lakes beaches: sampling, influential factors, and potential sources","docAbstract":"The overall mission of this work is to provide science-based information and methods that will allow beach managers to more accurately make beach closure and advisory decisions, understand the sources and physical processes affecting beach contaminants, and understand how science-based information can be used to mitigate and restore beaches and protect the public.\n\nThe U.S. Geological Survey (USGS), in collaboration with many Federal, State, and local agencies and universities, has conducted research on beach health issues in the Great Lakes Region for more than a decade. The work consists of four science elements that align with the USGS Beach Health Initiative Mission: real-time assessments of water quality; coastal processes; pathogens and source tracking; and data analysis, interpretation, and communication. The ongoing or completed research for the pathogens and source tracking topic is described in this fact sheet.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133071","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Research on pathogens at Great Lakes beaches: sampling, influential factors, and potential sources: U.S. Geological Survey Fact Sheet 2013-3071, 4 p., https://doi.org/10.3133/fs20133071.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":278650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133071.gif"},{"id":278646,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3071/pdf/fs2013-3071.pdf"},{"id":278645,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3071/"}],"state":"Michigan;New York;Ohio;Wisconsin","otherGeospatial":"Great Lakes;Lake Erie;Lake Huron;Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.18,41.34 ], [ -88.18,46.53 ], [ -78.73,46.53 ], [ -78.73,41.34 ], [ -88.18,41.34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67fe4b089748f071330","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535605,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048764,"text":"fs20133070 - 2013 - Coastal processes influencing water quality at Great Lakes beaches","interactions":[],"lastModifiedDate":"2013-11-14T17:35:04","indexId":"fs20133070","displayToPublicDate":"2013-11-01T14:09:00","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":"2013-3070","title":"Coastal processes influencing water quality at Great Lakes beaches","docAbstract":"In a series of studies along the Great Lakes, U.S. Geological Survey scientists are examining the physical processes that influence concentrations of fecal indicator bacteria and related pathogens at recreational beaches. These studies aim to estimate human health risk, improve management strategies, and understand the fate and transport of microbes in the nearshore area. It was determined that embayed beaches act as traps, accumulating Escherichia coli (E. coli) and other bacteria in the basin and even in beach sand. Further, shear stress and wave run-up could resuspend accumulated bacteria, leading to water-contamination events. These findings are being used to target beach design and circulation projects. In previous research, it was determined that E. coli followed a diurnal pattern, with concentrations decreasing throughout the day, largely owing to solar inactivation, but rebounding overnight. Studies at a Chicago beach identified the impact of wave-induced mass transport on this phenomenon, a finding that will extend our understanding of bacterial fate in the natural environment. In another series of studies, scientists examined the impact of river outfalls on bacteria concentrations, using mechanistic and empirical modeling. Through these studies, the models can indicate range and extent of impact, given E. coli concentration in the source water. These findings have been extended to extended lengths of coastlines and have been applied in beach management using empirical predictive modeling. Together, these studies are helping scientists identify and eliminate threats to human and coastal health.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133070","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Coastal processes influencing water quality at Great Lakes beaches: U.S. Geological Survey Fact Sheet 2013-3070, 4 p., https://doi.org/10.3133/fs20133070.","productDescription":"4 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":278649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133070.gif"},{"id":278647,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3070/pdf/fs2013-3070.pdf"},{"id":278648,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3070/"}],"country":"United States","otherGeospatial":"Great Lakes Beaches","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67de4b089748f071324","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535604,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048763,"text":"fs20133069 - 2013 - Real-time assessments of water quality: expanding nowcasting throughout the Great Lakes","interactions":[],"lastModifiedDate":"2013-11-14T17:34:14","indexId":"fs20133069","displayToPublicDate":"2013-11-01T14:04:00","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":"2013-3069","title":"Real-time assessments of water quality: expanding nowcasting throughout the Great Lakes","docAbstract":"Nowcasts are systems that inform the public of current bacterial water-quality conditions at beaches on the basis of predictive models. During 2010–12, the U.S. Geological Survey (USGS) worked with 23 local and State agencies to improve existing operational beach nowcast systems at 4 beaches and expand the use of predictive models in nowcasts at an additional 45 beaches throughout the Great Lakes. The predictive models were specific to each beach, and the best model for each beach was based on a unique combination of environmental and water-quality explanatory variables. The variables used most often in models to predict Escherichia coli (E. coli) concentrations or the probability of exceeding a State recreational water-quality standard included turbidity, day of the year, wave height, wind direction and speed, antecedent rainfall for various time periods, and change in lake level over 24 hours. During validation of 42 beach models during 2012, the models performed better than the current method to assess recreational water quality (previous day's E. coli concentration). The USGS will continue to work with local agencies to improve nowcast predictions, enable technology transfer of predictive model development procedures, and implement more operational systems during 2013 and beyond.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133069","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Real-time assessments of water quality: expanding nowcasting throughout the Great Lakes: U.S. Geological Survey Fact Sheet 2013-3069, 4 p., https://doi.org/10.3133/fs20133069.","productDescription":"4 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":278653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133069.gif"},{"id":278652,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3069/pdf/fs2013-3069.pdf"},{"id":278651,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3069/"}],"country":"United States","otherGeospatial":"The Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67fe4b089748f07132d","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535603,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048759,"text":"fs20133068 - 2013 - Tools for beach health data management, data processing, and predictive model implementation","interactions":[],"lastModifiedDate":"2013-11-14T17:33:35","indexId":"fs20133068","displayToPublicDate":"2013-11-01T13:59:00","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":"2013-3068","title":"Tools for beach health data management, data processing, and predictive model implementation","docAbstract":"This fact sheet describes utilities created for management of recreational waters to provide efficient data management, data aggregation, and predictive modeling as well as a prototype geographic information system (GIS)-based tool for data visualization and summary. All of these utilities were developed to assist beach managers in making decisions to protect public health. The Environmental Data Discovery and Transformation (EnDDaT) Web service identifies, compiles, and sorts environmental data from a variety of sources that help to define climatic, hydrologic, and hydrodynamic characteristics including multiple data sources within the U.S. Geological Survey and the National Oceanic and Atmospheric Administration. The Great Lakes Beach Health Database (GLBH-DB) and Web application was designed to provide a flexible input, export, and storage platform for beach water quality and sanitary survey monitoring data to compliment beach monitoring programs within the Great Lakes. A real-time predictive modeling strategy was implemented by combining the capabilities of EnDDaT and the GLBH-DB for timely, automated prediction of beach water quality. The GIS-based tool was developed to map beaches based on their physical and biological characteristics, which was shared with multiple partners to provide concepts and information for future Web-accessible beach data outlets.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133068","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Tools for beach health data management, data processing, and predictive model implementation: U.S. Geological Survey Fact Sheet 2013-3068, 6 p., https://doi.org/10.3133/fs20133068.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":278643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133068.gif"},{"id":278641,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3068/"},{"id":278642,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3068/pdf/fs2013-3068.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67fe4b089748f071333","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535602,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048622,"text":"fs20133093 - 2013 - US Topo: topographic maps for the nation","interactions":[{"subject":{"id":70048622,"text":"fs20133093 - 2013 - US Topo: topographic maps for the nation","indexId":"fs20133093","publicationYear":"2013","noYear":false,"title":"US Topo: topographic maps for the nation"},"predicate":"SUPERSEDED_BY","object":{"id":70188457,"text":"fs20173045 - 2017 - US Topo—Topographic maps for the Nation","indexId":"fs20173045","publicationYear":"2017","noYear":false,"title":"US Topo—Topographic maps for the Nation"},"id":1}],"supersededBy":{"id":70188457,"text":"fs20173045 - 2017 - US Topo—Topographic maps for the Nation","indexId":"fs20173045","publicationYear":"2017","noYear":false,"title":"US Topo—Topographic maps for the Nation"},"lastModifiedDate":"2017-06-23T13:59:00","indexId":"fs20133093","displayToPublicDate":"2013-10-25T11:01:00","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":"2013-3093","title":"US Topo: topographic maps for the nation","docAbstract":"

US Topo is the next generation of topographic maps from the U.S. Geological Survey (USGS). Arranged in the familiar 7.5-minute quadrangle format, digital US Topo maps are designed to look and feel (and perform) like the traditional paper topographic maps for which the USGS is so well known. In contrast to paper-based maps, US Topo maps provide modern technical advantages that support faster, wider public distribution and enable basic, on-screen geographic analysis for all users.

\n
\n

The US Topo quadrangle map has been redesigned so that map elements are visually distinguishable with the imagery turned on and off, while keeping the file size as small as possible. The US Topo map redesign includes improvements to various display factors, including symbol definitions (color, line thickness, line symbology, area fills), layer order, and annotation fonts. New features for 2013 include the following: a raster shaded relief layer, military boundaries, cemeteries and post offices, and a US Topo cartographic symbols legend as an attachment.

\n
\n

US Topo quadrangle maps are available free on the Web. Each map quadrangle is constructed in GeoPDF® format using key layers of geographic data (orthoimagery, roads, geographic names, topographic contours, and hydrographic features) from The National Map databases.

\n
\n

US Topo quadrangle maps can be printed from personal computers or plotters as complete, full-sized, maps or in customized sections, in a user-desired specific format. Paper copies of the maps can also be purchased from the USGS Store. Download links and a users guide are featured on the US Topo Web site.

\n
\n

US Topo users can turn geographic data layers on and off as needed; they can zoom in and out to highlight specific features or see a broader area. File size for each digital 7.5-minute quadrangle, about 30 megabytes. Associated electronic tools for geographic analysis are available free for download. The US Topo provides the Nation with a topographic product that users can quickly incorporate into decisionmaking, operational or recreational activities.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133093","usgsCitation":"Carswell, W., 2013, US Topo: topographic maps for the nation: U.S. Geological Survey Fact Sheet 2013-3093, 2 p., https://doi.org/10.3133/fs20133093.","productDescription":"2 p.","numberOfPages":"2","additionalOnlineFiles":"N","ipdsId":"IP-049142","costCenters":[{"id":425,"text":"National Geospatial Technical Operations Center","active":false,"usgs":true}],"links":[{"id":278424,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3093/"},{"id":278427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133093.gif"},{"id":278426,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3093/pdf/fs2013-3093.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526b8532e4b058918d0a99cf","contributors":{"authors":[{"text":"Carswell, William J. 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":485217,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048578,"text":"fs20133099 - 2013 - Hurricane Sandy science plan: coastal topographic and bathymetric data to support hurricane impact assessment and response","interactions":[],"lastModifiedDate":"2017-07-05T09:30:44","indexId":"fs20133099","displayToPublicDate":"2013-10-24T10:13:00","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":"2013-3099","title":"Hurricane Sandy science plan: coastal topographic and bathymetric data to support hurricane impact assessment and response","docAbstract":"

Hurricane Sandy devastated some of the most heavily populated eastern coastal areas of the Nation. With a storm surge peaking at more than 19 feet, the powerful landscape-altering destruction of Hurricane Sandy is a stark reminder of why the Nation must become more resilient to coastal hazards. In response to this natural disaster, the U.S. Geological Survey (USGS) received a total of $41.2 million in supplemental appropriations from the Department of the Interior (DOI) to support response, recovery, and rebuilding efforts. These funds support a science plan that will provide critical scientific information necessary to inform management decisions for recovery of coastal communities, and aid in preparation for future natural hazards. This science plan is designed to coordinate continuing USGS activities with stakeholders and other agencies to improve data collection and analysis that will guide recovery and restoration efforts. The science plan is split into five distinct themes:

\n
\n

• Coastal topography and bathymetry
\n• Impacts to coastal beaches and barriers
\n• Impacts of storm surge, including disturbed estuarine and bay hydrology
\n• Impacts on environmental quality and persisting contaminant exposures
\n• Impacts to coastal ecosystems, habitats, and fish and wildlife This fact sheet focuses on coastal topography and bathymetry.

\n
\n

This fact sheet focuses on coastal topography and bathymetry.

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