{"pageNumber":"1867","pageRowStart":"46650","pageSize":"25","recordCount":184563,"records":[{"id":99045,"text":"ofr20101276 - 2010 - An initial SPARROW model of land use and in-stream controls on total organic carbon in streams of the conterminous United States","interactions":[],"lastModifiedDate":"2024-07-17T21:54:29.073692","indexId":"ofr20101276","displayToPublicDate":"2011-02-12T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1276","title":"An initial SPARROW model of land use and in-stream controls on total organic carbon in streams of the conterminous United States","docAbstract":"Watersheds play many important roles in the carbon cycle: (1) they are a site for both terrestrial and aquatic carbon dioxide (CO2) removal through photosynthesis; (2) they transport living and decomposing organic carbon in streams and groundwater; and (3) they store organic carbon for widely varying lengths of time as a function of many biogeochemical factors. Using the U.S. Geological Survey (USGS) Spatially Referenced Regression on Watershed Attributes (SPARROW) model, along with long-term monitoring data on total organic carbon (TOC), this research quantitatively estimates the sources, transport, and fate of the long-term mean annual load of TOC in streams of the conterminous United States. The model simulations use surrogate measures of the major terrestrial and aquatic sources of organic carbon to estimate the long-term mean annual load of TOC in streams. \r\n\r\nThe estimated carbon sources in the model are associated with four land uses (urban, cultivated, forest, and wetlands) and autochthonous fixation of carbon (stream photosynthesis). Stream photosynthesis is determined by reach-level application of an empirical model of stream chlorophyll based on total phosphorus concentration, and a mechanistic model of photosynthetic rate based on chlorophyll, average daily solar irradiance, water column light attenuation, and reach dimensions. It was found that the estimate of in-stream photosynthesis is a major contributor to the mean annual TOC load per unit of drainage area (that is, yield) in large streams, with a median share of about 60 percent of the total mean annual carbon load in streams with mean flows above 500 cubic feet per second. The interquartile range of the model predictions of TOC from in-stream photosynthesis is from 0.1 to 0.4 grams (g) carbon (C) per square meter (m-2) per day (day-1) for the approximately 62,000 stream reaches in the continental United States, which compares favorably with the reported literature range for net carbon fixation by phytoplankton in lakes and streams. The largest contributors per unit of drainage area to the mean annual stream TOC load among the terrestrial sources are, in descending order: wetlands, urban lands, mixed forests, agricultural lands, evergreen forests, and deciduous forests . It was found that the SPARROW model estimates of TOC contributions to streams associated with these land uses are also consistent with literature estimates. SPARROW model calibration results are used to simulate the delivery of TOC loads to the coastal areas of seven major regional drainages. It was found that stream photosynthesis is the largest source of the TOC yields ( about 50 percent) delivered to the coastal waters in two of the seven regional drainages (the Pacific Northwest and Mississippi-Atchafalaya-Red River basins ), whereas terrestrial sources are dominant (greater than 60 percent) in all other regions (North Atlantic, South Atlantic-Gulf, California, Texas-Gulf, and Great Lakes).","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101276","collaboration":"Prepared in cooperation with Resources of the Future and Pennsylvania State University","usgsCitation":"Shih, J., Alexander, R.B., Smith, R.A., Boyer, E.W., Shwarz, G.E., and Chung, S., 2010, An initial SPARROW model of land use and in-stream controls on total organic carbon in streams of the conterminous United States: U.S. Geological Survey Open-File Report 2010-1276, vi, 22 p., https://doi.org/10.3133/ofr20101276.","productDescription":"vi, 22 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,{"id":70040388,"text":"70040388 - 2010 - Miconia calvescens","interactions":[],"lastModifiedDate":"2018-01-04T12:39:37","indexId":"70040388","displayToPublicDate":"2011-02-08T10:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Miconia calvescens","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Invasive Species Compendium","language":"English","publisher":"CABI Online Invasive Species Compendium","publisherLocation":"Wallingford, Oxfordshire","collaboration":"National Wildlife Health Center","usgsCitation":"Loope, L., 2010, Miconia calvescens, chap. <i>of</i> Invasive Species Compendium, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019128","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326615,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.cabi.org/isc/datasheet/33990"}],"country":"UNITED STATES","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b58b52e4b03bcb0104bc23","contributors":{"authors":[{"text":"Loope, L.","contributorId":86875,"corporation":false,"usgs":true,"family":"Loope","given":"L.","email":"","affiliations":[],"preferred":false,"id":645711,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99028,"text":"ofr20101299 - 2010 - Biogeochemical processes in an urban, restored wetland of San Francisco Bay, California, 2007-2009: Methods and data for plant, sediment and water parameters","interactions":[],"lastModifiedDate":"2022-12-15T20:04:17.912304","indexId":"ofr20101299","displayToPublicDate":"2011-02-08T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1299","title":"Biogeochemical processes in an urban, restored wetland of San Francisco Bay, California, 2007-2009: Methods and data for plant, sediment and water parameters","docAbstract":"The restoration of 18 acres of historic tidal marsh at Crissy Field has had great success in terms of public outreach and visibility, but less success in terms of revegetated marsh sustainability. Native cordgrass (Spartina foliosa) has experienced dieback and has failed to recolonize following extended flooding events during unintended periodic closures of its inlet channel, which inhibits daily tidal flushing. We examined the biogeochemical impacts of these impoundment events on plant physiology and on sulfur and mercury chemistry to help the National Park Service land managers determine the relative influence of these inlet closures on marsh function. In this comparative study, we examined key pools of sulfur, mercury, and carbon compounds both during and between closure events. Further, we estimated the net hydrodynamic flux of methylmercury and total mercury to and from the marsh during a 24-hour diurnal cycle. This report documents the methods used and the data generated during the study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101299","collaboration":"In Cooperation with the National Park Service Water Quality Program","usgsCitation":"Windham-Myers, L., Marvin-DiPasquale, M.C., Agee, J.L., Kieu, L.H., Kakouros, E., Erikson, L., and Ward, K., 2010, Biogeochemical processes in an urban, restored wetland of San Francisco Bay, California, 2007-2009: Methods and data for plant, sediment and water parameters: U.S. Geological Survey Open-File Report 2010-1299, Report: vi, 21 p.; Appendix, https://doi.org/10.3133/ofr20101299.","productDescription":"Report: vi, 21 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":410564,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94840.htm","linkFileType":{"id":5,"text":"html"}},{"id":126206,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1299.gif"},{"id":14468,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1299/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.46,\n              37.8056\n            ],\n            [\n              -122.46,\n              37.8031\n            ],\n            [\n              -122.4525,\n              37.8031\n            ],\n            [\n              -122.4525,\n              37.8056\n            ],\n            [\n              -122.46,\n              37.8056\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db625cdf","contributors":{"authors":[{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - 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,{"id":9000583,"text":"ds565 - 2010 - EAARL coastal topography and imagery-Fire Island National Seashore, New York, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ds565","displayToPublicDate":"2011-02-07T00:00:00","publicationYear":"2010","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":"565","title":"EAARL coastal topography and imagery-Fire Island National Seashore, New York, 2009","docAbstract":"These remotely sensed, geographically referenced color-infrared (CIR) imagery and elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the Fire Island National Seashore in New York, acquired on July 9 and August 3, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral CIR camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument was deployed on a Pilatus PC-6. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. For more information about similar projects, please visit the Decision Support for Coastal Science and Management website.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds565","usgsCitation":"Vivekanandan, S., Klipp, E., Nayegandhi, A., Bonisteel-Cormier, J., Brock, J.C., Wright, C.W., Nagle, D., Fredericks, X., and Stevens, S., 2010, EAARL coastal topography and imagery-Fire Island National Seashore, New York, 2009: U.S. Geological Survey Data Series 565, HTML Page; 1 DVD, https://doi.org/10.3133/ds565.","productDescription":"HTML Page; 1 DVD","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126200,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_565.bmp"},{"id":19204,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/565/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.3,40.583333333333336 ], [ -73.3,40.833333333333336 ], [ -72.75,40.833333333333336 ], [ -72.75,40.583333333333336 ], [ -73.3,40.583333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c34d","contributors":{"authors":[{"text":"Vivekanandan, Saisudha","contributorId":84325,"corporation":false,"usgs":true,"family":"Vivekanandan","given":"Saisudha","email":"","affiliations":[],"preferred":false,"id":344320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klipp, E.S.","contributorId":100340,"corporation":false,"usgs":true,"family":"Klipp","given":"E.S.","affiliations":[],"preferred":false,"id":344321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, J. 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W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":344319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":344318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":344315,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":344322,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":9000584,"text":"ds564 - 2010 - EAARL coastal topography-Cape Hatteras National Seashore, North Carolina, post-Nor'Ida, 2009: first surface","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ds564","displayToPublicDate":"2011-02-07T00:00:00","publicationYear":"2010","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":"564","title":"EAARL coastal topography-Cape Hatteras National Seashore, North Carolina, post-Nor'Ida, 2009: first surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the National Park Service Southeast Coast Network's Cape Hatteras National Seashore in North Carolina, acquired post-Nor'Ida (November 2009 nor'easter) on November 27 and 29 and December 1, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color-infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine aircraft, but the instrument was deployed on a Pilatus PC-6. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. For more information about similar projects, please visit the Decision Support for Coastal Science and Management website.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds564","usgsCitation":"Bonisteel-Cormier, J., Nayegandhi, A., Brock, J.C., Wright, C.W., Nagle, D., Fredericks, X., and Stevens, S., 2010, EAARL coastal topography-Cape Hatteras National Seashore, North Carolina, post-Nor'Ida, 2009: first surface: U.S. Geological Survey Data Series 564, HTML Page; DVD, https://doi.org/10.3133/ds564.","productDescription":"HTML Page; DVD","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126204,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_564.bmp"},{"id":19205,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/564/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,34.06666666666667 ], [ -76,36 ], [ -75.46666666666667,36 ], [ -75.46666666666667,34.06666666666667 ], [ -76,34.06666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c334","contributors":{"authors":[{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, J. C.","contributorId":36095,"corporation":false,"usgs":true,"family":"Brock","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":344325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":344328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":344327,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":344324,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":344329,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":9000585,"text":"ofr20101021 - 2010 - Microbial and geochemical investigations of dissolved organic carbon and microbial ecology of native waters from the Biscayne and Upper Floridan Aquifers","interactions":[],"lastModifiedDate":"2019-08-08T11:01:13","indexId":"ofr20101021","displayToPublicDate":"2011-02-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1021","title":"Microbial and geochemical investigations of dissolved organic carbon and microbial ecology of native waters from the Biscayne and Upper Floridan Aquifers","docAbstract":"Groundwater resources in the United States are under ever-increasing demands for potable, irrigation, and recreational uses. Additionally, aquifer systems are being used or targeted for use as storage areas for treated surface waters and (or) groundwaters via injection (for example, aquifer storage and recovery). To date, the influence that the nutrients, including carbon, in the injected water have on native microbial communities and the biogeochemistry in the subsurface zones used for storage of the injectate has not been determined. In this report, we describe a series of experiments that establishes a baseline dataset for the quantity and quality of organic and inorganic carbon and nutrients in the Biscayne Aquifer (BA) and Upper Floridan Aquifer (UFA) in south Florida. The most significant differences between the BA (26 meters below surface) and UFA (366 meters below surface) are the average specific conductance (0.552 and 6.12 microsiemens per centimeter, respectively), dissolved oxygen (1.6 and 0 milligrams per liter, respectively), and oxidation-reduction potential (40.3 and -358 millivolts, respectively). The dissolved organic carbon from the BA is characterized by carbon originating from terrestrial sources and microbial activities, while the UFA has a distinctive microbial signature. Acetate and lactate are the dominant carbon constituents in both aquifers. Additionally, components of the dissolved organic carbon from the UFA have a total trihalomethane-formation potential that is approximately threefold greater than the maximum contaminat level of 80 micrograms per liter established by the U.S. Environmental Protection Agency. The average native bacterial abundances in the aquifers are similar with 4.69x10^4 cells per milliliter in the BA and 1.33x10^4 cells per milliliter in the UFA. The average bacteriophage abundances are also similar with 1.15x10^5 virus-like particles in the BA and 1.92x10^5 virus-like particles in the UFA. Interestingly, ciliated protozoa are present in both aquifers. The average abundance of ciliates in the BA (2.97x10^3 ciliates per milliliter) is approximately twentyfold greater than abundances in the UFA (1.39x10^2 ciliates per milliliter). Collectively, these data indicate that microbial processes are the dominant contributor to the cycling of carbon and inorganic carbon in the BA and may be the only carbon cycling process in the UFA, as this aquifer has not had a terrestrial influx of carbon for more than 15,000 years. The rates of carbon, in the form of acetate, utilization by the native microbial communities are significantly different between the two aquifers. Based on data from 14C-acetate-utilization experiments, the microbial communities in the BA turn over the native acetate in 2.5 years, whereas communities in the UFA turn over native acetate in 6.8 years. These data support the hypothesis derived from the microbial-abundance data, in that the carbon for bacterial maintainence and growth is recycled from bacterial biomass released during cell lysis, especially in the UFA. An in situ diffusion chamber was designed to retain bacterial cells within the chamber while allowing native water constituents to move through the chamber. A series of 1-week deployments of chambers filled with fluorescent beads, inactivated native bacteria and laboratory grown and viable bacteria into the UFA, permitted by the State of Florida Environmental Protection Agency, was successfully completed. This was the first time this type of deployment into an aquifer system that is used for potable water supply has been permitted within the United States. This technology will allow, for the first time, in situ studies on the survival of microbial indicators of fecal pollution and true pathogens in groundwater systems.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101021","usgsCitation":"Lisle, J.T., Harvey, R.W., Aiken, G.R., and Metge, D.W., 2010, Microbial and geochemical investigations of dissolved organic carbon and microbial ecology of native waters from the Biscayne and Upper Floridan Aquifers: U.S. Geological Survey Open-File Report 2010-1021, vii, 33 p., https://doi.org/10.3133/ofr20101021.","productDescription":"vii, 33 p.","additionalOnlineFiles":"N","costCenters":[{"id":278,"text":"Florida Integrated Science Center-Ft. Lauderdale","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":126212,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1021.bmp"},{"id":19206,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1021/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","county":"Dade","city":"Miami","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a57e4b07f02db62df2a","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Ron W.","contributorId":100885,"corporation":false,"usgs":true,"family":"Harvey","given":"Ron","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":344333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":344331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":344330,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":9000586,"text":"ds566 - 2010 - Remotely sensed imagery revealing the effects of hurricanes Gustav and Ike on coastal Louisiana","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ds566","displayToPublicDate":"2011-02-07T00:00:00","publicationYear":"2010","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":"566","title":"Remotely sensed imagery revealing the effects of hurricanes Gustav and Ike on coastal Louisiana","docAbstract":"Hurricane Gustav, a category 2 storm with 170 kilometers per hour (km/h) winds, approached the Louisiana coast from the south-southeast, making landfall near Cocodrie, La., on September 1, 2008 (Beven and Kimberlain, 2009); Hurricane Ike, a category 2 storm with 175 km/h winds, approached the Texas coast from the southeast, paralleling offshore of the Louisiana coast, before making landfall along the north end of Galveston Island, Tex., on September 13, 2008 (Berg, 2009). Hurricane Ike's large wind field elevated water levels, increasing coastal flooding well before making landfall (Berg, 2009). An initial land area change assessment, based on comparison of Landsat Thematic Mapper (TM) satellite imagery, acquired before 2006 and after the 2008 landfalls of Hurricanes Gustav and Ike and classified to identify land and water, reported that the water area increased by 323 square kilometers (km2) in coastal Louisiana as a result of the storms (Barras, 2009). The land area decrease of 195 km2 was less than the 513 km2 decrease reported between 2004 and 2006 (Barras and others, 2008) after the landfalls of Hurricane Katrina, a strong category 3 storm that made landfall near Buras, La., on August 29, 2005, and Hurricane Rita, a category 3 storm that made landfall just west of Johnsons Bayou, La., on September 29, 2005. The 2004 to 2006 land area decrease is 49 km2 less than the 562 km2 initial change estimate based on satellite imagery obtained two months after the 2005 storms (Barras, 2007a). The comparison area used to identify the 2004 to 2006 land area change matches the extent of historical land and water data used to quantify coastal land loss from 1956 to 2006 (Barras and others, 2008) and is 3,841 km2 less than the 33,457.7 km2 used for Barras (2006) and Barras (2009). The greater comparison area used for the 2006 to 2008 period (Barras, 2009) resulted in a 2004 to 2006 loss estimate of 525.8 km2, 13.0 km2 greater than the 512.8 km2 estimate reported in Barras (2008).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds566","usgsCitation":"Barras, J., Brock, J., Morton, R., and Travers, L.J., 2010, Remotely sensed imagery revealing the effects of hurricanes Gustav and Ike on coastal Louisiana: U.S. Geological Survey Data Series 566, HTML Page; CD-ROM, https://doi.org/10.3133/ds566.","productDescription":"HTML Page; CD-ROM","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126205,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_566.bmp"},{"id":19207,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/566/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.5,28 ], [ -94.5,31 ], [ -88.75,31 ], [ -88.75,28 ], [ -94.5,28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4f1b","contributors":{"authors":[{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":344335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":344334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Robert A.","contributorId":88333,"corporation":false,"usgs":true,"family":"Morton","given":"Robert A.","affiliations":[],"preferred":false,"id":344337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Travers, Laurinda J. ltravers@usgs.gov","contributorId":3002,"corporation":false,"usgs":true,"family":"Travers","given":"Laurinda","email":"ltravers@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":344336,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99027,"text":"sir20105139 - 2010 - Trends in pesticide concentrations in urban streams in the United States, 1992-2008","interactions":[],"lastModifiedDate":"2017-10-14T11:47:15","indexId":"sir20105139","displayToPublicDate":"2011-02-05T00:00:00","publicationYear":"2010","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":"2010-5139","title":"Trends in pesticide concentrations in urban streams in the United States, 1992-2008","docAbstract":"Pesticide concentration trends in streams dominated by urban land use were assessed using data from 27 urban streams sampled as part of the U.S. Geological Survey National Water-Quality Assessment Program. The sites were divided into four regions, Northeast, South, Midwest, and West, to examine possible regional patterns. Three partially overlapping 9-year periods (1992-2000, 1996-2004, and 2000-2008) were examined for eight herbicides and one degradation product (simazine, prometon, atrazine, deethylatrazine, metolachlor, trifluralin, pendimethalin, tebuthiuron, and Dacthal), and five insecticides and two degradation products (chlorpyrifos, malathion, diazinon, fipronil, fipronil sulfide, desulfinylfipronil, and carbaryl). The data were analyzed for trends in concentration using a parametric regression model with seasonality, flow-related variability, and trend, called SEAWAVE-Q. The SEAWAVE-Q model also was used to generate estimated daily concentration percentiles for each analysis period to provide a summary of concentration magnitudes.\r\n\r\nFor herbicides, the largest 90th percentiles of estimated concentrations for simazine were in the South, prometon at some sites in all of the regions, atrazine and deethylatrazine in the South and Midwest, metolachlor in the Midwest and a few sites in the South, pendimethalin at scattered sites in all of the regions, and tebuthiuron in the South and a few sites in the Midwest and West. For insecticides, the largest 90th percentiles of estimated concentrations for diazinon and carbaryl were distributed among various sites in all regions (especially during 1996-2004), and fipronil at isolated sites in all of the regions during 2000-2008.\r\n\r\nTrend analysis results for the herbicides indicated many significant trends, both upward and downward, with varying patterns depending on period, region, and herbicide. Overall, deethylatrazine showed the most consistent pattern of upward trends, especially in the Northeast (2000-2008), South (1996-2004 and 2000-2008), and Midwest (1996-2004 and 2000-2008). Other herbicides showed less consistent upward trends, including simazine in the South (1996-2004), prometon in the Midwest (2000-2008), and atrazine in the South (1996-2004). The most consistent downward trends were for simazine in the Northeast and Midwest (1996-2004), prometon in the Northeast and Midwest (1996-2004) and West (1996-2004 and 2000-2008), and tebuthiuron in the South (1996-2004 and 2000-2008) and West (2000-2008).\r\n\r\nStrong similarity existed between the trends for atrazine and deethylatrazine during 1996-2004. During 2000-2008, however, there were mixed upward and downward trends in atrazine and predominantly upward trends in deethylatrazine. Ten sites with a downward trend in atrazine were paired with an upward trend in deethylatrazine and for three of these sites (1 in the South and 2 in the Midwest) both opposing trends were significant. Opposing trends showing a decrease in atrazine and an increase in deethylatrazine may indicate that decreases in atrazine from surface runoff are being offset in some cases by increases in deethylatrazine from groundwater for the latter analysis period.\r\n\r\nTrend results for insecticides indicated widespread significant downward trends for chlorpyrifos (especially 1996-2004), diazinon (1996-2004 and 2000-2008), and malathion (especially 1996-2004); widespread significant upward trends for fipronil and its degradation products (2000-2008); and mostly nonsignificant trends for carbaryl (1996-2004 and 2000-2008). The downward trends for chlorpyrifos and diazinon were consistent with the regulatory phaseout of residential uses of these insecticides and the upward trends for fipronil and its degradation products were consistent with its introduction in 1996 and subsequent increasing use as a possible substitute for chlorpyrifos and diazinon. The downward trends in malathion may be caused by voluntary substitution of pyrethroids or fipronil for malathio","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105139","usgsCitation":"Ryberg, K.R., Vecchia, A.V., Martin, J.D., and Gilliom, R.J., 2010, Trends in pesticide concentrations in urban streams in the United States, 1992-2008: U.S. Geological Survey Scientific Investigations Report 2010-5139, viii, 42 p., https://doi.org/10.3133/sir20105139.","productDescription":"viii, 42 p.","additionalOnlineFiles":"Y","temporalStart":"1992-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":126227,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5139.jpg"},{"id":14467,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5139/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","publicComments":"National Water-Quality Assessment Program","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ce4b07f02db6264fe","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":307314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Jeffrey D. 0000-0003-1994-5285 jdmartin@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-5285","contributorId":1066,"corporation":false,"usgs":true,"family":"Martin","given":"Jeffrey","email":"jdmartin@usgs.gov","middleInitial":"D.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":307312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":307311,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":9000578,"text":"ds557 - 2010 - EAARL Coastal Topography-Sandy Hook Unit, Gateway National Recreation Area, New Jersey, Post-Nor'Ida, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ds557","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"557","title":"EAARL Coastal Topography-Sandy Hook Unit, Gateway National Recreation Area, New Jersey, Post-Nor'Ida, 2009","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the Sandy Hook Unit of Gateway National Recreation Area in New Jersey, acquired post-Nor'Ida (November 2009 nor'easter) on December 4, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine aircraft, but the instrument was deployed on a Pilatus PC-6. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. For more information about similar projects, please visit the Decision Support for Coastal Science and Management website.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds557","usgsCitation":"Nayegandhi, A., Vivekanandan, S., Brock, J.C., Wright, C.W., Bonisteel-Cormier, J., Nagle, D., Klipp, E., and Stevens, S., 2010, EAARL Coastal Topography-Sandy Hook Unit, Gateway National Recreation Area, New Jersey, Post-Nor'Ida, 2009: U.S. Geological Survey Data Series 557, 1 DVD; HTML Page; Home; Purpose; Metadata; Collaborators; Acronyms, https://doi.org/10.3133/ds557.","productDescription":"1 DVD; HTML Page; Home; Purpose; Metadata; Collaborators; Acronyms","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126219,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_557.jpg"},{"id":19200,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/557/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.06666666666666,40.333333333333336 ], [ -74.06666666666666,40.5 ], [ -73.96666666666667,40.5 ], [ -73.96666666666667,40.333333333333336 ], [ -74.06666666666666,40.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f42e","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vivekanandan, Saisudha","contributorId":84325,"corporation":false,"usgs":true,"family":"Vivekanandan","given":"Saisudha","email":"","affiliations":[],"preferred":false,"id":344289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, J. C.","contributorId":36095,"corporation":false,"usgs":true,"family":"Brock","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":344285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":344288,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":344287,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klipp, E.S.","contributorId":100340,"corporation":false,"usgs":true,"family":"Klipp","given":"E.S.","affiliations":[],"preferred":false,"id":344290,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":344291,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":9000576,"text":"ds559 - 2010 - EAARL Coastal Topography and Imagery-Assateague Island National Seashore, Maryland and Virginia, Post-Nor'Ida, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:08","indexId":"ds559","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"559","title":"EAARL Coastal Topography and Imagery-Assateague Island National Seashore, Maryland and Virginia, Post-Nor'Ida, 2009","docAbstract":"These remotely sensed, geographically referenced color-infrared (CIR) imagery and elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the Assateague Island National Seashore in Maryland and Virginia, acquired post-Nor'Ida (November 2009 nor'easter) on November 28 and 30, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar(EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color-infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine aircraft, but the instrument was deployed on a Pilatus PC-6. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. For more information about similar projects, please visit the Decision Support for Coastal Science and Management website.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds559","usgsCitation":"Bonisteel-Cormier, J., Nayegandhi, A., Brock, J.C., Wright, C.W., Nagle, D., Klipp, E., Vivekanandan, S., Fredericks, X., and Stevens, S., 2010, EAARL Coastal Topography and Imagery-Assateague Island National Seashore, Maryland and Virginia, Post-Nor'Ida, 2009: U.S. Geological Survey Data Series 559, 1 DVD; HTML Page; Home; Purpose; Metadata; Collaborators; Acronyms, https://doi.org/10.3133/ds559.","productDescription":"1 DVD; HTML Page; Home; Purpose; Metadata; Collaborators; Acronyms","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126228,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_559.jpg"},{"id":19198,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/559/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.41666666666667,37.86666666666667 ], [ -75.41666666666667,38.333333333333336 ], [ -75.05,38.333333333333336 ], [ -75.05,37.86666666666667 ], [ -75.41666666666667,37.86666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a59e4b07f02db62f687","contributors":{"authors":[{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, J. 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,{"id":9000577,"text":"ds560 - 2010 - EAARL Coastal Topography-Eastern Louisiana Barrier Islands, Post-Hurricane Gustav, 2008: First Surface","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ds560","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"560","title":"EAARL Coastal Topography-Eastern Louisiana Barrier Islands, Post-Hurricane Gustav, 2008: First Surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA. This project provides highly detailed and accurate datasets of a portion of the eastern Louisiana barrier islands, acquired post-Hurricane Gustav (September 2008 hurricane) on September 6 and 7, 2008. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. 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,{"id":9000575,"text":"ds562 - 2010 - EAARL Coastal Topography-Maryland and Delaware, Post-Nor'Ida, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:08","indexId":"ds562","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"562","title":"EAARL Coastal Topography-Maryland and Delaware, Post-Nor'Ida, 2009","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL. This project provides highly detailed and accurate datasets of a portion of the eastern Maryland and Delaware coastline beachface, acquired post-Nor'Ida (November 2009 nor'easter) on November 28 and 30, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color-infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine aircraft, but the instrument was deployed on a Pilatus PC-6. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. 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,{"id":9000579,"text":"ds558 - 2010 - EAARL Coastal Topography-Fire Island National Seashore, New York, Post-Nor'Ida, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ds558","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"558","title":"EAARL Coastal Topography-Fire Island National Seashore, New York, Post-Nor'Ida, 2009","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the Fire Island National Seashore in New York, acquired post-Nor'Ida (November 2009 nor'easter) on December 4, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. 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Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. 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,{"id":9000574,"text":"ds561 - 2010 - EAARL Coastal Topography-Eastern Florida, Post-Hurricane Jeanne, 2004: First Surface","interactions":[],"lastModifiedDate":"2012-02-10T00:10:07","indexId":"ds561","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"561","title":"EAARL Coastal Topography-Eastern Florida, Post-Hurricane Jeanne, 2004: First Surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA. 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The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color-infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. For more information about similar projects, please visit the Decision Support for Coastal Science and Management website.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds561","usgsCitation":"Fredericks, X., Nayegandhi, A., Bonisteel-Cormier, J., Wright, C.W., Sallenger, A., Brock, J.C., Klipp, E., and Nagle, D., 2010, EAARL Coastal Topography-Eastern Florida, Post-Hurricane Jeanne, 2004: First Surface: U.S. Geological Survey Data Series 561, 1 DVD; HTML Page; Home; Purpose; Metadata; Colaborators; Acronyms, https://doi.org/10.3133/ds561.","productDescription":"1 DVD; HTML Page; Home; Purpose; Metadata; Colaborators; Acronyms","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126222,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_561.jpg"},{"id":19196,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/561/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.66666666666667,26.666666666666668 ], [ -80.66666666666667,28.333333333333332 ], [ -80,28.333333333333332 ], [ -80,26.666666666666668 ], [ -80.66666666666667,26.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a57e4b07f02db62e4fd","contributors":{"authors":[{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":344252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":344256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":344257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brock, J. C.","contributorId":36095,"corporation":false,"usgs":true,"family":"Brock","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":344253,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klipp, E.S.","contributorId":100340,"corporation":false,"usgs":true,"family":"Klipp","given":"E.S.","affiliations":[],"preferred":false,"id":344258,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":344255,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":9000580,"text":"ds556 - 2010 - EAARL Coastal Topography-Mississippi and Alabama Barrier Islands, Post-Hurricane Gustav, 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:10:07","indexId":"ds556","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2010","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":"556","title":"EAARL Coastal Topography-Mississippi and Alabama Barrier Islands, Post-Hurricane Gustav, 2008","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA. This project provides highly detailed and accurate datasets of a portion of the Mississippi and Alabama barrier islands, acquired post-Hurricane Gustav (September 2008 hurricane) on September 8, 2008. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations. For more information about similar projects, please visit the Decision Support for Coastal Science and Management website.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds556","usgsCitation":"Bonisteel-Cormier, J., Nayegandhi, A., Wright, C.W., Sallenger, A., Brock, J.C., Nagle, D., Klipp, E., Vivekanandan, S., Fredericks, X., and Segura, M., 2010, EAARL Coastal Topography-Mississippi and Alabama Barrier Islands, Post-Hurricane Gustav, 2008: U.S. Geological Survey Data Series 556, 1 DVD; HTML Page; Home; Purpose; Metadata; Collaborators; Acronyms, https://doi.org/10.3133/ds556.","productDescription":"1 DVD; HTML Page; Home; Purpose; Metadata; Collaborators; Acronyms","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126221,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_556.jpg"},{"id":19202,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/556/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89,30.216666666666665 ], [ -89,30.266666666666666 ], [ -88.06666666666666,30.266666666666666 ], [ -88.06666666666666,30.216666666666665 ], [ -89,30.216666666666665 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db697234","contributors":{"authors":[{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":344305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":344307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, J. C.","contributorId":36095,"corporation":false,"usgs":true,"family":"Brock","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":344302,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":344304,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klipp, E.S.","contributorId":100340,"corporation":false,"usgs":true,"family":"Klipp","given":"E.S.","affiliations":[],"preferred":false,"id":344309,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vivekanandan, Saisudha","contributorId":84325,"corporation":false,"usgs":true,"family":"Vivekanandan","given":"Saisudha","email":"","affiliations":[],"preferred":false,"id":344308,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":344301,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Segura, Martha","contributorId":77939,"corporation":false,"usgs":true,"family":"Segura","given":"Martha","email":"","affiliations":[],"preferred":false,"id":344306,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":99019,"text":"ofr20101272 - 2010 - Shenandoah National Park Phenology Project-Weather data collection, description, and processing","interactions":[],"lastModifiedDate":"2012-02-02T00:04:40","indexId":"ofr20101272","displayToPublicDate":"2011-02-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1272","title":"Shenandoah National Park Phenology Project-Weather data collection, description, and processing","docAbstract":"The weather data described in this document are being collected as part of a U.S. Geological Survey (USGS) study of changes in Shenandoah National Park (SNP) landscape phenology (Jones and Osbourne, 2008). Phenology is the study of the timing of biological events, such as annual plant flowering and seasonal bird migration. These events are partially driven by changes in temperature and precipitation; therefore, phenology studies how these events may reflect changes in climate. Landscape phenology is the study of changes in biological events over broad areas and assemblages of vegetation. To study climate-change relations over broad areas (at landscape scale), the timing and amount of annual tree leaf emergence, maximum foliage, and leaf fall for forested areas are of interest. To better link vegetation changes with climate, weather data are necessary. This report documents weather-station data collection and processing procedures used in the Shenandoah National Park Phenology Project.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101272","collaboration":"Eastern Geographic Science Center","usgsCitation":"Jones, J., Aiello, D., and Osborne, J.D., 2010, Shenandoah National Park Phenology Project-Weather data collection, description, and processing: U.S. Geological Survey Open-File Report 2010-1272, iii, 17 p. , https://doi.org/10.3133/ofr20101272.","productDescription":"iii, 17 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":123862,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1272.bmp"},{"id":14455,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1272/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fae4b07f02db5f4010","contributors":{"authors":[{"text":"Jones, John 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":307279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiello, Danielle P.","contributorId":107243,"corporation":false,"usgs":true,"family":"Aiello","given":"Danielle P.","affiliations":[],"preferred":false,"id":307281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osborne, Jesse D.","contributorId":90264,"corporation":false,"usgs":true,"family":"Osborne","given":"Jesse","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":307280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041981,"text":"70041981 - 2010 - Ontogenetic Variation in Food Consumption of Rusty Crayfish (Orconectes rusticus) in a Central New York Stream","interactions":[],"lastModifiedDate":"2013-02-14T11:56:07","indexId":"70041981","displayToPublicDate":"2011-02-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ontogenetic Variation in Food Consumption of Rusty Crayfish (Orconectes rusticus) in a Central New York Stream","docAbstract":"We examined feeding periodicity of three size groups of the rusty crayfish (Orconectes rusticus) at four-hour intervals over a 28-hour period during July in a headwater stream of the Susquehanna River drainage in central New York. Feeding activity was expressed as the ratio of stomach weight divided by the crayfish wet weight. The diel food consumption patterns of all three size groups of rusty crayfish (i.e., ≤ 10 mm, 11–20 mm, and > 20 mm carapace length) were significantly different. Peak feeding of the smallest crayfish occurred during crepuscular periods. Food consumption of the intermediate size crayfish was highest at 2000 h, and feeding of large crayfish was consistently high from 1200 h to 0400 h. Feeding intensity of both small and intermediate size crayfish was highest when feeding intensity of large crayfsh was lowest. Ontogenetic differences in feeding periodicity may be associated with predation pressure from large rusty crayfish on smaller individuals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Freshwater Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor and Francis","doi":"10.1080/02705060.2010.9664357","usgsCitation":"Johnson, J.H., and Nack, C.C., 2010, Ontogenetic Variation in Food Consumption of Rusty Crayfish (Orconectes rusticus) in a Central New York Stream: Journal of Freshwater Ecology, v. 25, no. 1, p. 59-64, https://doi.org/10.1080/02705060.2010.9664357.","startPage":"59","endPage":"64","ipdsId":"IP-015654","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":267384,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02705060.2010.9664357"},{"id":267385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"25","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511e1594e4b071e86a19a483","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nack, Christopher C.","contributorId":66137,"corporation":false,"usgs":true,"family":"Nack","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":470538,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9000572,"text":"fs20103103 - 2010 - St. Petersburg Coastal and Marine Science Center coral reef research","interactions":[],"lastModifiedDate":"2012-02-02T00:04:27","indexId":"fs20103103","displayToPublicDate":"2011-02-01T00:00:00","publicationYear":"2010","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":"2010-3103","title":"St. Petersburg Coastal and Marine Science Center coral reef research","docAbstract":"The U.S. Geological Survey (USGS) Coral Reef Ecosystem STudies (CREST) Project specifically addresses priorities identified in the 'Facing tomorrow's challenges' U.S. Geological Survey science in the decade 2007-2017' document (USGS, 2007). Research includes a blend of historical, monitoring, and process studies aimed at improving our understanding of the development, current status and function, as well as likely future changes in coral ecosystems. Topics such as habitat characterization and distribution, coral disease, and trends in biogenic calcification are major focus areas. We seek to increase the understanding of reef structure, ecological integrity, and responses to global change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103103","usgsCitation":"Poore, R.Z., Kuffner, I.B., and Kellogg, C.A., 2010, St. Petersburg Coastal and Marine Science Center coral reef research: U.S. Geological Survey Fact Sheet 2010-3103, 2 p., https://doi.org/10.3133/fs20103103.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126230,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3103.bmp"},{"id":19195,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2010/3103/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4a09","contributors":{"authors":[{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":344248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344249,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":9000571,"text":"ofr20101264 - 2010 - A Servicewide Benthic Mapping Program for National Parks","interactions":[],"lastModifiedDate":"2023-05-19T13:39:53.612492","indexId":"ofr20101264","displayToPublicDate":"2011-01-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1264","title":"A Servicewide Benthic Mapping Program for National Parks","docAbstract":"In 2007, the National Park Service (NPS) Inventory and Monitoring Program directed the initiation of a benthic habitat mapping program in ocean and coastal parks in alignment with the NPS Ocean Park Stewardship 2007-2008 Action Plan. With 74 ocean and Great Lakes parks stretching over more than 5,000 miles of coastline across 26 States and territories, this Servicewide Benthic Mapping Program (SBMP) is essential. This program will deliver benthic habitat maps and their associated inventory reports to NPS managers in a consistent, servicewide format to support informed management and protection of 3 million acres of submerged National Park System natural and cultural resources. The NPS and the U.S. Geological Survey (USGS) convened a workshop June 3-5, 2008, in Lakewood, Colo., to discuss the goals and develop the design of the NPS SBMP with an assembly of experts (Moses and others, 2010) who identified park needs and suggested best practices for inventory and mapping of bathymetry, benthic cover, geology, geomorphology, and some water-column properties. The recommended SBMP protocols include servicewide standards (such as gap analysis, minimum accuracy, final products) as well as standards that can be adapted to fit network and park unit needs (for example, minimum mapping unit, mapping priorities). SBMP Mapping Process. The SBMP calls for a multi-step mapping process for each park, beginning with a gap assessment and data mining to determine data resources and needs. An interagency announcement of intent to acquire new data will provide opportunities to leverage partnerships. Prior to new data acquisition, all involved parties should be included in a scoping meeting held at network scale. Data collection will be followed by processing and interpretation, and finally expert review and publication. After publication, all digital materials will be archived in a common format. SBMP Classification Scheme. The SBMP will map using the Coastal and Marine Ecological Classification Standard (CMECS) that is being modified to include all NPS needs, such as lacustrine ecosystems and submerged cultural resources. CMECS Version III (Madden and others, 2010) includes components for water column, biotic cover, surface geology, sub-benthic, and geoform. SBMP Data Archiving. The SBMP calls for the storage of all raw data and final products in common-use data formats. The concept of 'collect once, use often' is essential to efficient use of mapping resources. Data should also be shared with other agencies and the public through various digital clearing houses, such as Geospatial One-Stop (http://gos2.geodata.gov/wps/portal/gos). To be most useful for managing submerged resources, the SBMP advocates the inventory and mapping of the five components of marine ecosystems: surface geology, biotic cover, geoform, sub-benthic, and water column. A complete benthic inventory of a park would include maps of bathymetry and the five components of CMECS. The completion of mapping for any set of components, such as bathymetry and surface geology, or a particular theme (for example, submerged aquatic vegetation) should also include a printed report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101264","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Moses, C.S., Nayegandhi, A., Beavers, R., and Brock, J., 2010, A Servicewide Benthic Mapping Program for National Parks: U.S. Geological Survey Open-File Report 2010-1264, vi, 88 p., https://doi.org/10.3133/ofr20101264.","productDescription":"vi, 88 p.","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science 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,{"id":99007,"text":"fs20103121 - 2010 - Water-quality sampling by the U.S. Geological Survey-Standard protocols and procedures","interactions":[],"lastModifiedDate":"2012-02-02T00:15:49","indexId":"fs20103121","displayToPublicDate":"2011-01-22T00:00:00","publicationYear":"2010","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":"2010-3121","title":"Water-quality sampling by the U.S. Geological Survey-Standard protocols and procedures","docAbstract":"Thumbnail of and link to report PDF (1.0 MB)\r\n\r\nThe U.S. Geological Survey (USGS) develops the sampling procedures and collects the data necessary for the accurate assessment and wise management of our Nation's surface-water and groundwater resources. Federal and State agencies, water-resource regulators and managers, and many organizations and interested parties in the public and private sectors depend on the reliability, timeliness, and integrity of the data we collect and the scientific soundness and impartiality of our data assessments and analysis. The standard data-collection methods uniformly used by USGS water-quality personnel are peer reviewed, kept up-to-date, and published in the National Field Manual for the Collection of Water-Quality Data (http://pubs.water.usgs.gov/twri9A/). ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103121","usgsCitation":"Wilde, F.D., 2010, Water-quality sampling by the U.S. Geological Survey-Standard protocols and procedures: U.S. Geological Survey Fact Sheet 2010-3121, 2 p., https://doi.org/10.3133/fs20103121.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"links":[{"id":126028,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3121.gif"},{"id":14444,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3121/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67afa4","contributors":{"authors":[{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":92240,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska","email":"fwilde@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":307245,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99008,"text":"sir20105235 - 2010 - Polychlorinated biphenyls in aquatic invertebrates and fish and observations about nitrogen and carbon isotope composition in relation to trophic structure and bioaccumulation patterns, Lake Worth and Meandering Road Creek, Fort Worth, Texas, 2007-08","interactions":[],"lastModifiedDate":"2016-08-11T16:08:40","indexId":"sir20105235","displayToPublicDate":"2011-01-22T00:00:00","publicationYear":"2010","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":"2010-5235","title":"Polychlorinated biphenyls in aquatic invertebrates and fish and observations about nitrogen and carbon isotope composition in relation to trophic structure and bioaccumulation patterns, Lake Worth and Meandering Road Creek, Fort Worth, Texas, 2007-08","docAbstract":"<p>During 2007-08 the U.S. Geological Survey, in cooperation with the U.S. Air Force, evaluated the concentration of polychlorinated biphenyls (PCBs) in aquatic invertebrates and fish from one site in the main body of Lake Worth, two sites in a small inlet in Lake Worth (upper and lower Woods Inlet), and one site in Meandering Road Creek in Fort Worth, Texas. The four sites sampled during 2007-08 were located at or near sites where surficial bed-sediment samples had been collected and analyzed for PCBs during previous U.S. Geological Survey studies so that PCB concentrations in aquatic invertebrates and fish and PCB concentrations in surficial bed-sediment samples could be compared. Stable nitrogen and carbon isotopes were used to help assess differences in the amount of these isotopes by species and sampling location. The sum of 15 PCB-congener concentrations was highest for aquatic invertebrates and fish from the upper Woods Inlet site and lowest for the same aquatic invertebrates and fish from Lake Worth site, where PCBs historically had not been detected in lake bed sediment. An increase in the ratio of the heavier nitrogen-15 (15N) isotope to the lighter nitrogen-14 (14N) isotope, referred to as enrichment of 15N, was highest in largemouth bass (representing the highest trophic level sampled) at all sites and lowest for true midge larvae inhabiting surficial bed sediment in the lake (representing the lowest trophic level sampled). Enrichment of 15N was less variable in largemouth bass and other fish from the highest trophic level compared with shorter lived, primary consumer invertebrates from lower trophic levels, such as true midge larvae, mayfly nymphs, and zooplankton. The delta carbon-13 (delta13C) values measured in true midge larvae collected at the Lake Worth and upper and lower Woods Inlet sites were more negative compared with the delta13C values measured for all other taxa, indicating true midge larvae were more depleted of carbon-13 (13C) compared with all other aquatic invertebrate and fish. The relative depletion of 13C might indicate the carbon sources consumed by true midge larvae are different from the carbon sources consumed by all other taxon that were sampled. Ratios of stable nitrogen isotopes nitrogen-15 to nitrogen-14 (delta15N) were similar between taxa from the Lake Worth site and Woods Inlet sites. The sum of 15 PCB-congener concentrations, however, was an order of magnitude higher in largemouth bass from the upper Woods Inlet site, indicating that PCB-congener concentrations in lake bed sediment likely controls biomagnification within the lake because of the similarities in trophic structure of the resident aquatic community. The biota at the Lake Worth reference site, where PCBs were not detected in the surficial sediment during previous studies, were less contaminated than the biota at sites where PCBs had been detected in the surficial sediment. The highest trophic-level consumers (as evidenced by the most 15N-enriched delta15N values) showed the maximum bioaccumulation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105235","collaboration":"In cooperation with the U.S. Air Force","usgsCitation":"Moring, J., 2010, Polychlorinated biphenyls in aquatic invertebrates and fish and observations about nitrogen and carbon isotope composition in relation to trophic structure and bioaccumulation patterns, Lake Worth and Meandering Road Creek, Fort Worth, Texas, 2007-08: U.S. Geological Survey Scientific Investigations Report 2010-5235, iv, 23 p.; Appendices, https://doi.org/10.3133/sir20105235.","productDescription":"iv, 23 p.; Appendices","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":126031,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5235.png"},{"id":14445,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5235/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Lake Worth","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.42298126220703,\n              32.79521141367352\n            ],\n            [\n              -97.45216369628906,\n              32.79550001438897\n            ],\n            [\n              -97.46366500854492,\n              32.80358045411563\n            ],\n            [\n              -97.4545669555664,\n              32.80632186501808\n            ],\n  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Bruce","contributorId":53372,"corporation":false,"usgs":true,"family":"Moring","given":"J. Bruce","affiliations":[],"preferred":false,"id":307246,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99009,"text":"sir20105238 - 2010 - Water levels in aquifers in the Nacatoch Sand of southwestern and northeastern Arkansas and the Tokio Formation of southwestern Arkansas, spring 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"sir20105238","displayToPublicDate":"2011-01-22T00:00:00","publicationYear":"2010","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":"2010-5238","title":"Water levels in aquifers in the Nacatoch Sand of southwestern and northeastern Arkansas and the Tokio Formation of southwestern Arkansas, spring 2008","docAbstract":"The Nacatoch Sand and Tokio Formation aquifers in southwestern Arkansas and the Nacatoch Sand in northeastern Arkansas are sources of water for industrial, public supply, domestic, and agricultural uses. Potentiometric-surface maps were constructed from water-level measurements made in 61 wells completed in the Nacatoch Sand and in 50 wells completed in the Tokio Formation during spring 2008. Aquifers in the Nacatoch Sand and Tokio Formation are hereafter referred to as the Nacatoch aquifer and the Tokio aquifer, respectively.\r\n\r\nThe direction of groundwater flow in the Nacatoch aquifer in northeastern Arkansas generally is towards the southeast. A potentiometric high is located along the north and northwestern boundaries of the area.\r\n\r\nThe direction of groundwater flow in the Nacatoch aquifer in southwestern Arkansas is towards the south-southeast in Little River, Miller, and Hempstead Counties and to the east-southeast in Nevada and Clark Counties. A potentiometric high is located within the outcrop area in north-central Hempstead County. A cone of depression exists in the Nacatoch aquifer at Hope in southeastern Hempstead County.\r\n\r\nThe direction of groundwater flow in the Tokio aquifer in southwestern Arkansas generally is towards the south or southeast. A potentiometric high is located within the outcrop area. Artesian conditions exist in southeastern Pike, northeastern Hempstead, and northwestern Nevada Counties. One apparent cone of depression might exist northwest of Hope in Hempstead County.\r\n\r\nIn northeastern Arkansas, groundwater withdrawals from the Nacatoch aquifer increased by 480 percent from 1965 to 2005. In southwestern Arkansas, withdrawals from the Nacatoch aquifer and Tokio aquifer increased by 125 percent and 201 percent, respectively, from 1965 to 1980 and decreased by 93 percent and 80 percent, respectively, from 1980 to 2000. Withdrawals from Nacatoch aquifer and Tokio aquifer increased by 690 percent and 291 percent, respectively, from 2000 to 2005. Long-term hydrographs were prepared for 10 wells in the study areas. Changes in water levels in some wells may be associated with changes in withdrawals from the respective aquifers.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105238","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey","usgsCitation":"Schrader, T., and Blackstock, J.M., 2010, Water levels in aquifers in the Nacatoch Sand of southwestern and northeastern Arkansas and the Tokio Formation of southwestern Arkansas, spring 2008: U.S. Geological Survey Scientific Investigations Report 2010-5238, iv, 22 p., https://doi.org/10.3133/sir20105238.","productDescription":"iv, 22 p.","additionalOnlineFiles":"N","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":126739,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5238.png"},{"id":14446,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5238/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.5,33 ], [ -94.5,36.5 ], [ -89.5,36.5 ], [ -89.5,33 ], [ -94.5,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699735","contributors":{"authors":[{"text":"Schrader, T.P.","contributorId":56300,"corporation":false,"usgs":true,"family":"Schrader","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":307248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blackstock, Joshua M. jblackst@usgs.gov","contributorId":5553,"corporation":false,"usgs":true,"family":"Blackstock","given":"Joshua","email":"jblackst@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":307247,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99005,"text":"ofr20101119 - 2010 - The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101119","displayToPublicDate":"2011-01-19T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1119","title":"The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts","docAbstract":"Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. The U.S. Geological Survey's National Assessment of Shoreline Change Project has compiled a comprehensive database of digital vector shorelines and shoreline-change rates for the New England and Mid-Atlantic Coasts. There is currently no widely accepted standard for analyzing shoreline change. Existing measurement and rate-calculation methods vary from study to study and preclude combining results into statewide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method that is consistent from coast to coast for measuring changes in shoreline position. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101119","usgsCitation":"Himmelstoss, E., Kratzmann, M.G., Hapke, C., Thieler, E.R., and List, J., 2010, The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts: U.S. Geological Survey Open-File Report 2010-1119, HTML Document; Geospatial Data, https://doi.org/10.3133/ofr20101119.","productDescription":"HTML Document; Geospatial Data","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126171,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1119.gif"},{"id":14442,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1119/","linkFileType":{"id":5,"text":"html"}}],"scale":"70000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78,36 ], [ -78,48 ], [ -68,48 ], [ -68,36 ], [ -78,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b493a","contributors":{"authors":[{"text":"Himmelstoss, Emily A.","contributorId":24736,"corporation":false,"usgs":true,"family":"Himmelstoss","given":"Emily A.","affiliations":[],"preferred":false,"id":307241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kratzmann, Meredith G. 0000-0002-2513-2144 mkratzmann@usgs.gov","orcid":"https://orcid.org/0000-0002-2513-2144","contributorId":4950,"corporation":false,"usgs":true,"family":"Kratzmann","given":"Meredith","email":"mkratzmann@usgs.gov","middleInitial":"G.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":307239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hapke, Cheryl","contributorId":89846,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","affiliations":[],"preferred":false,"id":307242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":307238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"List, Jeffrey","contributorId":7238,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey","affiliations":[],"preferred":false,"id":307240,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":99004,"text":"ds521 - 2010 - Time-lapse imagery of the breaching of Marmot Dam, Oregon, and subsequent erosion of sediment by the Sandy River– October 2007 to May 2008","interactions":[],"lastModifiedDate":"2021-12-09T22:53:57.542173","indexId":"ds521","displayToPublicDate":"2011-01-15T00:00:00","publicationYear":"2010","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":"521","title":"Time-lapse imagery of the breaching of Marmot Dam, Oregon, and subsequent erosion of sediment by the Sandy River– October 2007 to May 2008","docAbstract":"<p>In 2007, Marmot Dam on the Sandy River, Oregon, was removed and a temporary cofferdam standing in its place was breached, allowing the river to flow freely along its entire length. Time-lapse imagery obtained from a network of digital single-lens reflex cameras placed around the lower reach of the sediment-filled reservoir behind the dam details rapid erosion of sediment by the Sandy River after breaching of the cofferdam. Within hours of the breaching, the Sandy River eroded much of the nearly 15-m-thick frontal part of the sediment wedge impounded behind the former concrete dam; within 24-60 hours it eroded approximately 125,000 m<sup>3</sup> of sediment impounded in the lower 300-meter-reach of the reservoir. The imagery shows that the sediment eroded initially through vertical incision, but that lateral erosion rapidly became an important process.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds521","usgsCitation":"Major, J.J., Spicer, K.R., and Collins, R.A., 2010, Time-lapse imagery of the breaching of Marmot Dam, Oregon, and subsequent erosion of sediment by the Sandy River– October 2007 to May 2008: U.S. Geological Survey Data Series 521, Report: iv, 5 p.; Movie File Folder, https://doi.org/10.3133/ds521.","productDescription":"Report: iv, 5 p.; Movie File Folder","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-10-01","temporalEnd":"2008-05-31","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":126074,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_521.bmp"},{"id":14441,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/521/","linkFileType":{"id":5,"text":"html"}},{"id":392714,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94811.htm"}],"country":"United States","state":"Oregon","otherGeospatial":"Marmot Dam, Sandy River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.13046073913574,\n              45.394592696926615\n            ],\n            [\n              -122.12222099304198,\n              45.394592696926615\n            ],\n            [\n              -122.12222099304198,\n              45.40025798537436\n            ],\n            [\n              -122.13046073913574,\n              45.40025798537436\n            ],\n            [\n              -122.13046073913574,\n              45.394592696926615\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b5a9","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":307235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":307236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Rebecca A.","contributorId":70420,"corporation":false,"usgs":true,"family":"Collins","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":307237,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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