{"pageNumber":"2255","pageRowStart":"56350","pageSize":"25","recordCount":184629,"records":[{"id":70158997,"text":"70158997 - 2007 - Remote sensing sensors and applications in environmental resources mapping and modeling","interactions":[],"lastModifiedDate":"2015-10-12T11:56:00","indexId":"70158997","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing sensors and applications in environmental resources mapping and modeling","docAbstract":"<p><span>The history of remote sensing and development of different sensors for environmental and natural resources mapping and data acquisition is reviewed and reported. Application examples in urban studies, hydrological modeling such as land-cover and floodplain mapping, fractional vegetation cover and impervious surface area mapping, surface energy flux and micro-topography correlation studies is discussed. The review also discusses the use of remotely sensed-based rainfall and potential evapotranspiration for estimating crop water requirement satisfaction index and hence provides early warning information for growers. The review is not an exhaustive application of the remote sensing techniques rather a summary of some important applications in environmental studies and modeling.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/s7123209","usgsCitation":"Melesse, A.M., Weng, Q., Thenkabail, P.S., and Senay, G.B., 2007, Remote sensing sensors and applications in environmental resources mapping and modeling: Sensors, v. 7, no. 12, p. 3209-3241, https://doi.org/10.3390/s7123209.","productDescription":"33 p.","startPage":"3209","endPage":"3241","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s7123209","text":"Publisher Index Page"},{"id":309829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","noUsgsAuthors":false,"publicationDate":"2007-11-11","publicationStatus":"PW","scienceBaseUri":"561cd9ace4b0cdb063e584a6","contributors":{"authors":[{"text":"Melesse, Assefa M.","contributorId":45044,"corporation":false,"usgs":false,"family":"Melesse","given":"Assefa","email":"","middleInitial":"M.","affiliations":[{"id":7003,"text":"Deprtment of Earth & Environmental ECS 339, Florida Interational University","active":true,"usgs":false}],"preferred":false,"id":577206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weng, Qihao","contributorId":112678,"corporation":false,"usgs":true,"family":"Weng","given":"Qihao","email":"","affiliations":[],"preferred":false,"id":577207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":577208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":577209,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80677,"text":"ofr20071392 - 2007 - Long-term and storm-related shoreline change trends in the Florida Gulf Islands National Seashore","interactions":[],"lastModifiedDate":"2022-07-13T20:27:21.722264","indexId":"ofr20071392","displayToPublicDate":"2007-11-30T00:00:00","publicationYear":"2007","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":"2007-1392","title":"Long-term and storm-related shoreline change trends in the Florida Gulf Islands National Seashore","docAbstract":"<p>Coastal erosion on Northern Gulf of Mexico barrier islands is an ongoing issue that was exacerbated by the storm seasons of 2004 and 2005 when several hurricanes made landfall in the Gulf of Mexico. Two units of the Gulf Islands National Seashore (GUIS), located on Santa Rosa Island, a barrier island off the Panhandle coast of Florida, were highly impacted during the hurricanes of 2004 (Ivan) and 2005 (Cindy, Dennis, Katrina and Rita). In addition to the loss of or damage to natural and cultural resources within the park, damage to park infrastructure, including park access roads and utilities, occurred in areas experiencing rapid shoreline retreat. The main park road was located as close as 50 m to the pre-storm (2001) shoreline and was still under repair from damage incurred during Hurricane Ivan when the 2005 hurricanes struck. A new General Management Plan is under development for the Gulf Islands National Seashore. This plan, like the existing General Management Plan, strives to incorporate natural barrier island processes, and will guide future efforts to provide access to units of Gulf Islands National Seashore on Santa Rosa Island.</p><p>To assess changes in island geomorphology and provide data for park management, the National Park Service and the U.S. Geological Survey are currently analyzing shoreline change to better understand long-term (100+ years) shoreline change trends as well as short-term shoreline impact and recovery to severe storm events. Results show that over an ~140-year period from the late 1800s to May 2004, the average shoreline erosion rates in the Fort Pickens and Santa Rosa units of GUIS were -0.7m/yr and -0.1 m/yr, respectively. Areas of historic erosion, reaching a maximum rate of -1.3 m/yr, correspond to areas that experienced overwash and road damage during the 2004 hurricane season.. The shoreline eroded as much as ~60 m during Hurricane Ivan, and as much as ~88 m over the course of the 2005 storm season. The shoreline erosion rates in the areas where the park road was heavily damaged were as high as -70.2 m/yr over the 2004-2005 time period. Additional post-storm monitoring of these sections of the island, to assess whether erosion rates stabilize, will help to parks to determine the best long-term management strategy for the park infrastructure.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071392","usgsCitation":"Hapke, C.J., and Christiano, M., 2007, Long-term and storm-related shoreline change trends in the Florida Gulf Islands National Seashore: U.S. Geological Survey Open-File Report 2007-1392, 18 p., https://doi.org/10.3133/ofr20071392.","productDescription":"18 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192005,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403688,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_82851.htm","linkFileType":{"id":5,"text":"html"}},{"id":10534,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1392/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Florida Gulf Island National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.308349609375,\n              30.311245603935003\n            ],\n            [\n              -86.8963623046875,\n              30.311245603935003\n            ],\n            [\n              -86.8963623046875,\n              30.379983796443767\n            ],\n            [\n              -87.308349609375,\n              30.379983796443767\n            ],\n            [\n              -87.308349609375,\n              30.311245603935003\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63edab","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":293261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christiano, Mark","contributorId":59522,"corporation":false,"usgs":true,"family":"Christiano","given":"Mark","email":"","affiliations":[],"preferred":false,"id":293262,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80675,"text":"sir20075223 - 2007 - Petrographic Descriptions of Selected Rock Specimens From the Meade Peak Phosphatic Shale Member, Phosphoria Formation (Permian), Southeastern Idaho","interactions":[],"lastModifiedDate":"2012-02-10T00:11:40","indexId":"sir20075223","displayToPublicDate":"2007-11-30T00:00:00","publicationYear":"2007","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":"2007-5223","title":"Petrographic Descriptions of Selected Rock Specimens From the Meade Peak Phosphatic Shale Member, Phosphoria Formation (Permian), Southeastern Idaho","docAbstract":"Based on petrographic observations of 135 thin sections, rocks in the Meade Peak Phosphatic Shale Member of the Permian Phosphoria Formation in southeastern Idaho can be placed into one of four major lithofacies: organic claystone, muddy siltstone, peloidal phosphorite, and dolomitized calclithite-in order of decreasing abundance. Organic claystones are the most common lithofacies in the Meade Peak. Many of these rocks contain sufficient amounts of silt to make silty, organic claystones a common subtype. Organic claystones commonly contain crystals of muscovite and bioclasts as accessory components, and they are typically parallel laminated. Muddy siltstones are composed primarily of quartz silt, but some feldspar and rare carbonate silt are also present; some rocks are parallel laminated. Phosphate peloids are composed of varying amounts of opaque, complex, and translucent material, and observed internal structures are classified as simple, banded, cored, zoned, oolitic, nucleated, and polynucleated. Opaque, complex, and translucent peloids form the framework grains of three peloidal phosphorite rocks: wackestone phosphorite, packstone phosphorite, and grainstone phosphorite. Wackestone phosphorite is phosphatic-mud supported and contains more than 10 percent peloids; it is the most common type of phosphorite. Packstone phosphorite is peloid supported and contains interstitial phosphatic mud; it is also a common type. Grainstone phosphorite is peloid supported but lacks phosphatic mud; it is the least common type. Dolomitized calclithites contain three types of carbonate grains: macrocrystalline, microcrystalline, and crystalline with a microcrystalline nuclei-in order of decreasing abundance. Based on chemical staining and X-ray diffraction analyses, most of the carbonate is dolomite. Sufficient amounts of quartz silt or muddy material allow some rocks to be called silty dolomitized calclithite or muddy dolomitized calclithite, respectively. Sedimentary structures are absent except in some muddy dolomitized calclithites. Organic claystones, muddy siltstones, and dolomitized calclithites are detrital deposits. Many rocks in the Meade Peak contain calcite and apatite as fracture fillings and vug linings. As expected, peloidal phosphorites are most common in ore zones, and detrital rocks are most common in waste zones. Mine-specific marker beds are mostly composed of dolomitized calclithite.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075223","usgsCitation":"Johnson, E., Grauch, R.I., and Herring, J.R., 2007, Petrographic Descriptions of Selected Rock Specimens From the Meade Peak Phosphatic Shale Member, Phosphoria Formation (Permian), Southeastern Idaho (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2007-5223, iv, 17 p., https://doi.org/10.3133/sir20075223.","productDescription":"iv, 17 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192055,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10531,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5223/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.75,42 ], [ -111.75,43.25 ], [ -110.75,43.25 ], [ -110.75,42 ], [ -111.75,42 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db687ed2","contributors":{"authors":[{"text":"Johnson, Edward A.","contributorId":25552,"corporation":false,"usgs":true,"family":"Johnson","given":"Edward A.","affiliations":[],"preferred":false,"id":293257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grauch, Richard I. 0000-0002-1763-0813 rgrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-1763-0813","contributorId":1193,"corporation":false,"usgs":true,"family":"Grauch","given":"Richard","email":"rgrauch@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":293256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herring, James R.","contributorId":95492,"corporation":false,"usgs":true,"family":"Herring","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":293258,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80676,"text":"ofr20071261 - 2007 - A GIS Analysis of Seagrass Resources and Condition Within Padre Island National Seashore, Texas","interactions":[],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"ofr20071261","displayToPublicDate":"2007-11-30T00:00:00","publicationYear":"2007","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":"2007-1261","title":"A GIS Analysis of Seagrass Resources and Condition Within Padre Island National Seashore, Texas","docAbstract":"A survey of the seagrass resources of Padre Island National Seashore was conducted in fall 2002 and 2003, with additional sampling through 2006, to resolve distribution questions. Location coordinates were recorded to thousandths of minutes of latitude and longitude and converted to decimal degrees (minus decimal degrees for longitude) for import into ArcView (Environmental Systems Research Institute, Inc.). The seagrass core frequency data were developed as a theme in ArcView and overlaid on digital orthophoto quarter quadrangles of the U.S. Geological Survey to show sample depth with respect to mean sea level and frequency of occurrence of seagrass for five samples collected from every station sampled. These data were used to draw boundaries of area submerged at mean sea level and seagrass meadow in relation to the boundary of Padre Island National Seashore. Frequency of seagrass occurrence, mean plant height, shoot density, plant height multiplied by shoot density, live biomass, and dead biomass on a 1' latitude by 0.25' longitude grid were collected, and their distribution was plotted in space and according to depth. A User Guide for displaying data in ArcView is included at the end of this report.\r\n\r\nSeagrasses covered almost two-thirds of the regularly flooded part of Laguna Madre within the borders of Padre Island National Seashore. Comparisons with earlier surveys showed that substantial areas of seagrass cover had been lost in deep water between 1988 and 1998 as a result of a persistent phytoplankton bloom, and little recovery has occurred since. Maximum depth of seagrass occurrence responded to changes in water clarity. In contrast, much of the cover at shallow to intermediate depths lost at the south end of the study area between 1988 and 1998 was replaced by 2003. The seven stations with greatest plant height were located in this area of recent recolonization. Continuity of cover as measured by frequency of occurrence was high except near the edge of seagrass meadow. Decrease in this measure may be an indicator of meadow fragmentation, signaling deterioration of seagrass meadow before loss. The other measures of condition were so variable that they were insensitive indicators of impending change.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071261","usgsCitation":"Onuf, C.P., and Ingold, J.J., 2007, A GIS Analysis of Seagrass Resources and Condition Within Padre Island National Seashore, Texas (Version 1.0): U.S. Geological Survey Open-File Report 2007-1261, Report: vi, 34 p.; Downloads Directory, https://doi.org/10.3133/ofr20071261.","productDescription":"Report: vi, 34 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194742,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10532,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1261/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.5,26.916666666666668 ], [ -97.5,27.75 ], [ -97.16666666666667,27.75 ], [ -97.16666666666667,26.916666666666668 ], [ -97.5,26.916666666666668 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4955e4b0b290850ef10b","contributors":{"authors":[{"text":"Onuf, Christopher P.","contributorId":55091,"corporation":false,"usgs":true,"family":"Onuf","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":293260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingold, Jaimie J.","contributorId":33007,"corporation":false,"usgs":true,"family":"Ingold","given":"Jaimie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293259,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80674,"text":"ofr20071384 - 2007 - Methods for the Emergency Assessment of Debris-Flow Hazards from Basins Burned by the Fires of 2007, Southern California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"ofr20071384","displayToPublicDate":"2007-11-30T00:00:00","publicationYear":"2007","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":"2007-1384","title":"Methods for the Emergency Assessment of Debris-Flow Hazards from Basins Burned by the Fires of 2007, Southern California","docAbstract":"This report describes the approach used to assess potential debris-flow hazards from basins burned by the Buckweed, Santiago, Canyon, Poomacha, Ranch, Harris, Witch, Rice, Ammo, Slide, Grass Valley and Cajon Fires of 2007 in southern California. The assessments will be presented as a series of maps showing a relative ranking of the predicted volume of debris flows that can issue from basin outlets in response to a 3-hour duration rainstorm with a 10-year return period. Potential volumes of debris flows are calculated using a multiple-regression model that describes debris-flow volume at a basin outlet as a function of measures of basin gradient, burn extent, and storm rainfall. This assessment provides critical information for issuing basin-specific warnings, locating and designing mitigation measures, and planning of evacuation timing and routes.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071384","usgsCitation":"Cannon, S.H., Gartner, J.E., and Michael, J.A., 2007, Methods for the Emergency Assessment of Debris-Flow Hazards from Basins Burned by the Fires of 2007, Southern California (Version 1.0): U.S. Geological Survey Open-File Report 2007-1384, iv, 10 p., https://doi.org/10.3133/ofr20071384.","productDescription":"iv, 10 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194700,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10530,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1384/","linkFileType":{"id":5,"text":"html"}}],"scale":"1300000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.25,32.25 ], [ -119.25,34.75 ], [ -116,34.75 ], [ -116,32.25 ], [ -119.25,32.25 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62bac1","contributors":{"authors":[{"text":"Cannon, Susan H. cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":293253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, Joseph E. jegartner@usgs.gov","contributorId":1876,"corporation":false,"usgs":true,"family":"Gartner","given":"Joseph","email":"jegartner@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":293254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, John A. jmichael@usgs.gov","contributorId":1877,"corporation":false,"usgs":true,"family":"Michael","given":"John","email":"jmichael@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":293255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80672,"text":"ofr20071350 - 2007 - Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000-2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:23","indexId":"ofr20071350","displayToPublicDate":"2007-11-29T00:00:00","publicationYear":"2007","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":"2007-1350","title":"Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000-2006","docAbstract":"The Everglades Depth Estimation Network (EDEN) is an integrated network of real-time water-level gaging stations, ground-elevation models, and water-surface models designed to provide scientists, engineers, and water-resource managers with current (2000-present) water-depth information for the entire freshwater portion of the greater Everglades. The U.S. Geological Survey Greater Everglades Priority Ecosystem Science provides support for EDEN and the goal of providing quality assured monitoring data for the U.S. Army Corps of Engineers Comprehensive Everglades Restoration Plan. To increase the accuracy of the water-surface models, 25 real-time water-level gaging stations were added to the network of 253 established water-level gaging stations. To incorporate the data from the newly added stations to the 7-year EDEN database in the greater Everglades, the short-term water-level records (generally less than 1 year) needed to be simulated back in time (hindcasted) to be concurrent with data from the established gaging stations in the database. A three-step modeling approach using artificial neural network models was used to estimate the water levels at the new stations. The artificial neural network models used static variables that represent the gaging station location and percent vegetation in addition to dynamic variables that represent water-level data from the established EDEN gaging stations. The final step of the modeling approach was to simulate the computed error of the initial estimate to increase the accuracy of the final water-level estimate.\r\n\r\nThe three-step modeling approach for estimating water levels at the new EDEN gaging stations produced satisfactory results. The coefficients of determination (R2) for 21 of the 25 estimates were greater than 0.95, and all of the estimates (25 of 25) were greater than 0.82. The model estimates showed good agreement with the measured data. For some new EDEN stations with limited measured data, the record extension (hindcasts) included periods beyond the range of the data used to train the artificial neural network models. The comparison of the hindcasts with long-term water-level data proximal to the new EDEN gaging stations indicated that the water-level estimates were reasonable. The percent model error (root mean square error divided by the range of the measured data) was less than 6 percent, and for the majority of stations (20 of 25), the percent model error was less than 1 percent.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071350","collaboration":"Prepared in cooperation with the U.S. Geological Survey Greater Everglades Priority Ecosystems Science","usgsCitation":"Conrads, P., and Roehl, E.A., 2007, Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000-2006: U.S. Geological Survey Open-File Report 2007-1350, vi, 57 p., https://doi.org/10.3133/ofr20071350.","productDescription":"vi, 57 p.","onlineOnly":"Y","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":194670,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10528,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1350/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611e6b","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roehl, Edwin A. Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":293249,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80671,"text":"ofr20071293 - 2007 - Characteristics of Fault Zones in Volcanic Rocks Near Yucca Flat, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:38","indexId":"ofr20071293","displayToPublicDate":"2007-11-29T00:00:00","publicationYear":"2007","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":"2007-1293","title":"Characteristics of Fault Zones in Volcanic Rocks Near Yucca Flat, Nevada Test Site, Nevada","docAbstract":"During 2005 and 2006, the USGS conducted geological studies of fault zones at surface outcrops at the Nevada Test Site. The objectives of these studies were to characterize fault geometry, identify the presence of fault splays, and understand the width and internal architecture of fault zones. Geologic investigations were conducted at surface exposures in upland areas adjacent to Yucca Flat, a basin in the northeastern part of the Nevada Test Site; these data serve as control points for the interpretation of the subsurface data collected at Yucca Flat by other USGS scientists. Fault zones in volcanic rocks near Yucca Flat differ in character and width as a result of differences in the degree of welding and alteration of the protolith, and amount of fault offset. Fault-related damage zones tend to scale with fault offset; damage zones associated with large-offset faults (>100 m) are many tens of meters wide, whereas damage zones associated with smaller-offset faults are generally a only a meter or two wide. Zeolitically-altered tuff develops moderate-sized damage zones whereas vitric nonwelded, bedded and airfall tuff have very minor damage zones, often consisting of the fault zone itself as a deformation band, with minor fault effect to the surrounding rock mass. These differences in fault geometry and fault zone architecture in surface analog sites can serve as a guide toward interpretation of high-resolution subsurface geophysical results from Yucca Flat.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071293","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office","usgsCitation":"Sweetkind, D., and Drake, R.M., 2007, Characteristics of Fault Zones in Volcanic Rocks Near Yucca Flat, Nevada Test Site, Nevada (Version 1.0): U.S. Geological Survey Open-File Report 2007-1293, 53 p., https://doi.org/10.3133/ofr20071293.","productDescription":"53 p.","onlineOnly":"Y","temporalStart":"2005-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192070,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10527,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1293/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.25,36.916666666666664 ], [ -116.25,37.25 ], [ -115.91666666666667,37.25 ], [ -115.91666666666667,36.916666666666664 ], [ -116.25,36.916666666666664 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a22b","contributors":{"authors":[{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":293247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, Ronald M. II 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":1353,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald","suffix":"II","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":293246,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80673,"text":"sir20075163 - 2007 - Effects of Canals and Roads on Hydrologic Conditions and Health of Atlantic White Cedar at Emily and Richardson Preyer Buckridge Coastal Reserve, North Carolina, 2003-2006","interactions":[],"lastModifiedDate":"2017-01-17T09:56:41","indexId":"sir20075163","displayToPublicDate":"2007-11-29T00:00:00","publicationYear":"2007","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":"2007-5163","title":"Effects of Canals and Roads on Hydrologic Conditions and Health of Atlantic White Cedar at Emily and Richardson Preyer Buckridge Coastal Reserve, North Carolina, 2003-2006","docAbstract":"The effects of canals and roads on hydrologic conditions and on the health of Atlantic white cedar at the Emily and Richardson Preyer Buckridge Coastal Reserve in North Carolina were evaluated by using data collected from the 1980s to 2006. Water levels were monitored along two transects established perpendicular to roads and canals in areas of healthy and unhealthy Atlantic white cedar as part of a study conducted from February 2003 through March 2006. Because of the low hydraulic gradient at the Reserve, the rate and direction of water movement are sensitive to disturbance. Canals increased drainage and contributed to lower water levels in some parts of the Reserve, whereas roads, depending on orientation, impeded drainage. Canals also appeared to facilitate movement of brackish water from the Alligator River into the interior of the Reserve during storms and wind tides. Data indicate that an influx of brackish water occurred in mid-September 2005 several days after the passage of Hurricane Ophelia. Although precipitation amounts and wind speeds associated with Hurricane Ophelia were not large, substantial changes in specific conductance occurred at the canal site on the unhealthy Atlantic white cedar transect. No corresponding increase in specific conductance was observed at the canal site on the healthy Atlantic white cedar transect.\r\n\r\nThe specific conductance of water samples from canals and piezometers was highly correlated with concentrations of chloride and sodium. Ion ratios of some of the water samples, particularly samples with high specific conductance, were similar to those of seawater. Thermal and chemical stratification of water in the canals occurred during summer and winter months, and turnover and mixing occurred in the spring and fall. Upwelling of ground water as a result of excavation for roads did not appear to have a significant effect on the water quality of samples from the canals or piezometers. The specific conductance of water samples from piezometers installed in the root zone of healthy stands of Atlantic white cedar generally was lower than in water samples from unhealthy stands. This pattern also was observed in samples from piezometers installed on the transects and in other areas of the Reserve. Roads appear to have isolated some areas of the Reserve from the high-conductivity water in nearby canals. The paths by which brackish water entered the Reserve cannot be determined from the data obtained during this investigation. It appears that water can enter the Reserve from various directions, depending on wind patterns and water levels in the Alligator River.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075163","collaboration":"Prepared in cooperation with the North Carolina Department of Environment and Natural Resources, Division of Coastal Management","usgsCitation":"Ferrell, G.M., Strickland, A.G., and Spruill, T.B., 2007, Effects of Canals and Roads on Hydrologic Conditions and Health of Atlantic White Cedar at Emily and Richardson Preyer Buckridge Coastal Reserve, North Carolina, 2003-2006: U.S. Geological Survey Scientific Investigations Report 2007-5163, viii, 175 p., https://doi.org/10.3133/sir20075163.","productDescription":"viii, 175 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2003-02-01","temporalEnd":"2006-03-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":195394,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10529,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5163/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","otherGeospatial":"Emily and Richardson Preyer Buckridge Coastal Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.91253662109375,\n              35.14461705293515\n            ],\n            [\n              -76.91253662109375,\n              36.16670524263733\n            ],\n            [\n              -75.51177978515625,\n              36.16670524263733\n            ],\n            [\n              -75.51177978515625,\n              35.14461705293515\n            ],\n            [\n              -76.91253662109375,\n              35.14461705293515\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688cf7","contributors":{"authors":[{"text":"Ferrell, Gloria M. gferrell@usgs.gov","contributorId":1595,"corporation":false,"usgs":true,"family":"Ferrell","given":"Gloria","email":"gferrell@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":293250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strickland, A. Gerald","contributorId":88048,"corporation":false,"usgs":true,"family":"Strickland","given":"A.","email":"","middleInitial":"Gerald","affiliations":[],"preferred":false,"id":293252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spruill, Timothy B.","contributorId":51724,"corporation":false,"usgs":true,"family":"Spruill","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":293251,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80666,"text":"ofr20071291 - 2007 - Magnetotelluric Data, Southern San Luis Valley, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:41","indexId":"ofr20071291","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","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":"2007-1291","title":"Magnetotelluric Data, Southern San Luis Valley, Colorado","docAbstract":"Introduction\r\n\r\nThe population of the San Luis Valley region is growing rapidly. The shallow unconfined and the deeper confined Santa Fe Group aquifer in the San Luis Basin is the main sources of municipal water for the region. Water shortfalls could have serious consequences. Future growth and land management in the region depend on accurate assessment and protection of the region's ground-water resources. An important issue in managing the ground-water resources is a better understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits that fill the Rio Grande rift, which contain the principal ground-water aquifers.\r\n\r\nThe U.S. Geological Survey (USGS) is conducting a series of multidisciplinary studies of the San Luis Basin located in southern Colorado. Detailed geologic mapping, high-resolution airborne magnetic surveys, gravity surveys, an electromagnetic survey, called magnetotellurics (MT), and hydrologic and lithologic data are being used to better understand the aquifer systems. The primary goal of the MT survey is to map changes in electrical resistivity with depth that are related to differences in rock type. These various rock types help control the properties of aquifers in the region. This report does not include any interpretation of the data. Its purpose is to release the MT data acquired at the 22 stations shown in figure 1.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071291","usgsCitation":"Williams, J.M., and Rodriguez, B.D., 2007, Magnetotelluric Data, Southern San Luis Valley, Colorado (Version 1.0): U.S. Geological Survey Open-File Report 2007-1291, 208 p., https://doi.org/10.3133/ofr20071291.","productDescription":"208 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190865,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10522,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1291/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106,37 ], [ -106,37.75 ], [ -105,37.75 ], [ -105,37 ], [ -106,37 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6493d9","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":293232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":293231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80669,"text":"sir20075231 - 2007 - Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Upper Wabash River Basin, Indiana, 2003","interactions":[],"lastModifiedDate":"2023-09-14T21:50:04.12782","indexId":"sir20075231","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","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":"2007-5231","title":"Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Upper Wabash River Basin, Indiana, 2003","docAbstract":"<p>Data were gathered from May through October 2003 at 38 randomly selected sites in the Upper Wabash River Basin, Indiana, for algal biomass, habitat, nutrients, and biological communities (fish and invertebrates). Basin characteristics (drainage area and land use) and biological-community attributes and metric scores were determined for each sampling site's basin. Yearly Principal Components Analysis site scores were calculated for algal biomass (periphyton and seston). The yearly Principal Components Analysis site scores for the first axis (PC1) were related, using Spearman's rho, to the seasonal algal-biomass, basin-characteristics, habitat, seasonal nutrient, biological-community attribute and metric score data.</p>\n<p>The periphyton PC1 site score, which was most influenced by September chlorophyll a, was not related to the five basin-characteristics, nine habitat, or 12 nutrient variables examined. Of the 43 fish-community attributes and metric scores examined, the periphyton PC1 was negatively related to one attribute (tolerant percent) and positively related to one metric score (insectivore percent metric score). Of the 43 invertebrate-community attributes and metric scores examined, the periphyton PC1 was negatively related to three attributes (Ephemeroptera, Plecoptera, and Trichoptera (EPT) count, EPT-to-total ratio, and number of taxa) and four metric scores (EPT count metric score, EPT to total ratio metric score, macroinvertebrate Index of Biotic Integrity metric score, and number of taxa metric score). The seston PC1 was not related to the five basin-characteristics, nine habitat, or 12 nutrient variables or to the 43 fish- and 21 invertebrate-community attributes or metric scores examined.</p>\n<p>To understand how the choice of sampling sites might have affected the results, an analysis of the drainage area and land use was done. The random site selection in 2003 in the Upper Wabash River Basin was skewed to small streams. The lack of large streams in the Upper Wabash River Basin could account for the few relations among the seston and the biological-community data.</p>\n<p>The values for nutrients (nitrate, total Kjeldahl nitrogen, total nitrogen, and total phosphorus) and chlorophyll a (periphyton and seston) were compared to published U.S. Environmental Protection Agency (USEPA) values for Aggregate Nutrient Ecoregions VI and VII and USEPA Level III Ecoregions 55 and 56. Several nutrient values were greater than the 25th percentile of the published USEPA values. Chlorophyll a (periphyton and seston) values either were greater than the 25th percentile of published USEPA values or extended data ranges in the Aggregate Nutrient and Level III Ecoregions. If the proposed values for the 25th percentile were adopted as nutrient water-quality criteria, many samples in the Upper Wabash River Basin would have exceeded the criteria.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20075231","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management, Division of Water, Assessment Branch","usgsCitation":"Leer, D.R., Caskey, B.J., Frey, J.W., and Lowe, B.S., 2007, Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Upper Wabash River Basin, Indiana, 2003: U.S. Geological Survey Scientific Investigations Report 2007-5231, vi, 25 p., https://doi.org/10.3133/sir20075231.","productDescription":"vi, 25 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Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowe, B. Scott","contributorId":52671,"corporation":false,"usgs":true,"family":"Lowe","given":"B.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":293240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80670,"text":"sir20075150 - 2007 - Winter ecology of the western burrowing owl (<i>Athene cunicularia hypugaea</i>) in southern Texas 1999-2004","interactions":[],"lastModifiedDate":"2016-12-05T10:36:16","indexId":"sir20075150","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","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":"2007-5150","title":"Winter ecology of the western burrowing owl (<i>Athene cunicularia hypugaea</i>) in southern Texas 1999-2004","docAbstract":"<p>This study examines the winter ecology of the western burrowing owl (<i>Athene cunicularia hypugaea</i>) in five Texas counties surrounding Corpus Christi, in southern Texas. There is a substantial gap in information on the owl's life cycle during migration and non-breeding winter months; almost all previous research on western burrowing owls has been conducted during the breeding season. The western burrowing owl currently is federally threatened in Mexico, federally endangered in Canada, and in the United States is considered a National Bird of Conservation Concern by the U.S. Fish and Wildlife Service. Topics investigated included status, effectiveness of public outreach, roost sites and use of culverts and artificial burrows, roost site fidelity, diet, contaminant burdens, body mass, and ectoparasites. Early ornithological reports and a museum egg set revealed that burrowing owls once bred in southern Texas and were common in winter; however, since the 1950's they have been reported in relatively low numbers and only during winter. In this study, public outreach increased western burrowing owl detections by 68 percent. Owls selected winter roost sites with small-diameter openings, including culverts less than or equal to 16 centimeters and artificial burrows of 15 centimeters, probably because the small diameters deterred mammalian predators. Owls showed strong roost site fidelity; 15 banded birds stayed at the same roost sites within a winter, and 8 returned to the same site the following winter. The winter diet was over 90 percent insects, with crickets the primary prey. Analyses of invertebrate prey and regurgitated pellets showed that residues of all but 3 of 28 carbamate and organophosphate pesticides were detected at least once, but all were below known lethal concentrations. Mean body mass of western burrowing owls was 168 grams and was highest in midwinter. Feather lice were detected in low numbers on a few owls, but no fleas or other ectoparasites were found.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20075150","collaboration":"Prepared in cooperation with Texas A&M University-Corpus Christi","usgsCitation":"Woodin, M.C., Skoruppa, M.K., and Hickman, G.C., 2007, Winter ecology of the western burrowing owl (<i>Athene cunicularia hypugaea</i>) in southern Texas 1999-2004: U.S. Geological Survey Scientific Investigations Report 2007-5150, viii, 34 p., https://doi.org/10.3133/sir20075150.","productDescription":"viii, 34 p.","temporalStart":"1999-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":120979,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5150.jpg"},{"id":10526,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5150/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Jim Wells, Kleberg, Nueces, Refugio, San Patricio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.624267578125,\n              26.54922257769204\n            ],\n            [\n              -98.624267578125,\n              28.806173508854776\n            ],\n            [\n              -96.15234375,\n              28.806173508854776\n            ],\n            [\n              -96.15234375,\n              26.54922257769204\n            ],\n            [\n              -98.624267578125,\n              26.54922257769204\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e1e4b07f02db5e498f","contributors":{"authors":[{"text":"Woodin, Marc C.","contributorId":56316,"corporation":false,"usgs":true,"family":"Woodin","given":"Marc","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":293244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skoruppa, Mary K.","contributorId":30692,"corporation":false,"usgs":true,"family":"Skoruppa","given":"Mary","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":293243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickman, Graham C.","contributorId":92354,"corporation":false,"usgs":true,"family":"Hickman","given":"Graham","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":293245,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80668,"text":"sir20075229 - 2007 - Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Whitewater River and East Fork White River basins, Indiana, 2002","interactions":[],"lastModifiedDate":"2022-10-14T21:58:13.231172","indexId":"sir20075229","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","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":"2007-5229","title":"Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Whitewater River and East Fork White River basins, Indiana, 2002","docAbstract":"Data were gathered from May through September 2002 at 76 randomly selected sites in the Whitewater River and East Fork White River Basins, Indiana, for algal biomass, habitat, nutrients, and biological communities (fish and invertebrates). Basin characteristics (land use and drainage area) and biolog-ical-community attributes and metric scores were determined for the basin of each sampling site. Yearly Principal Compo-nents Analysis site scores were calculated for algal biomass (periphyton and seston). The yearly Principal Components Analysis site scores for the first axis (PC1) were related using Spearman's rho to the seasonal algal-biomass, basin-charac-teristics, habitat, seasonal nutrient, and biological-community attribute and metric score data.\r\n\r\nThe periphyton PC1 site score was not significantly related to the nine habitat or 12 nutrient variables examined. One land-use variable, drainage area, was negatively related to the periphyton PC1. Of the 43 fish-community attributes and metrics examined, the periphyton PC1 was negatively related to one attribute (large-river percent) and one metric score (car-nivore percent metric score). It was positively related to three fish-community attributes (headwater percent, pioneer percent, and simple lithophil percent). The periphyton PC1 was not statistically related to any of the 21 invertebrate-community attributes or metric scores examined.\r\n\r\nOf the 12 nutrient variables examined two were nega-tively related to the seston PC1 site score in two seasons: total Kjeldahl nitrogen (July and September), and TP (May and September). There were no statistically significant relations between the seston PC1 and the five basin-characteristics or nine habitat variables examined. Of the 43 fish-community attributes and metrics examined, the seston PC1 was positively related to one attribute (headwater percent) and negatively related to one metric score (large-river percent metric score) . Of the 21 invertebrate-community attributes and metrics exam-ined, the seston PC1 was negatively related to one metric score (number of individuals metric score).\r\n\r\nTo understand how the choice of sampling sites might have affected the results, an analysis of the drainage area and land use was done. The sites selected in the Whitewater River Basin were generally small drainage basins; compared to Whitewater River Basin sites, the sites selected in the East Fork White River Basin were generally larger drainage basins. Although both basins were dominated by agricultural land use the Whitewater River Basin sites had more land in agriculture than the East Fork White River Basin sites.\r\n\r\nThe values for nutrients (nitrate, total Kjeldahl nitrogen, total nitrogen, and total phosphorus) and chlorophyll a (per-iphyton and seston) were compared to published U.S. Environmental Protection Agency (USEPA) values for Aggregate Nutrient Ecoregions VI and IX and USEPA Level III Ecore-gions 55 and 71. Several nutrient values were greater than the 25th percentile of published USEPA values. Chlorophyll a (periphyton and seston) values were either greater than the 25thpercentile of published USEPA values or they extended data ranges in the Aggregate Nutrient and Level III Ecore-gions. If the values for the 25th percentile as proposes by the USEPA were adopted as nutrient water-quality criteria, many samples in the Whitewater River and East Fork White River Basins would have exceeded the criteria.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075229","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management, Division of Water, Assessment Branch","usgsCitation":"Caskey, B.J., Frey, J.W., and Lowe, B.S., 2007, Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Whitewater River and East Fork White River basins, Indiana, 2002: U.S. Geological Survey Scientific Investigations Report 2007-5229, vi, 31 p., https://doi.org/10.3133/sir20075229.","productDescription":"vi, 31 p.","onlineOnly":"Y","temporalStart":"2002-05-01","temporalEnd":"2002-09-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194630,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10524,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5229/","linkFileType":{"id":5,"text":"html"}},{"id":408367,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_82848.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Indiana","otherGeospatial":"Whitewater River and East Fork White River basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.25,\n              38.4444\n            ],\n            [\n              -84.805,\n              38.4444\n            ],\n            [\n              -84.805,\n              40.0667\n            ],\n            [\n              -87.25,\n              40.0667\n            ],\n            [\n              -87.25,\n              38.4444\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b31e4b07f02db6b4118","contributors":{"authors":[{"text":"Caskey, Brian J.","contributorId":104119,"corporation":false,"usgs":true,"family":"Caskey","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, B. Scott","contributorId":52671,"corporation":false,"usgs":true,"family":"Lowe","given":"B.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":293237,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80667,"text":"sir20075222 - 2007 - Relations of Principal Components Analysis Site Scores to Algal-Biomass, Habitat, Basin-Characteristics, Nutrient, and Biological-Community Data in the West Fork White River Basin, Indiana, 2001","interactions":[],"lastModifiedDate":"2016-05-24T08:52:04","indexId":"sir20075222","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","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":"2007-5222","title":"Relations of Principal Components Analysis Site Scores to Algal-Biomass, Habitat, Basin-Characteristics, Nutrient, and Biological-Community Data in the West Fork White River Basin, Indiana, 2001","docAbstract":"<p>Data were gathered from July through September 2001 at 34 randomly selected sites in the West Fork White River Basin, Indiana for algal biomass, habitat, nutrients, and biological communities (fish and invertebrates). Basin characteristics (drainage area and land use) and biological-community attributes and metric scores were determined for the basin of each sampling site. Yearly Principal Components Analysis site scores were calculated for algal biomass (periphyton and seston). The yearly Principal Components Analysis site scores for the first axis (PC1) were related, using Spearman's rho, to the seasonal algal-biomass, basin-characteristics, habitat, seasonal nutrient, biological-community attribute and metric score data. The periphyton PC1 site score, which was most influenced by ash-free dry mass, was negatively related to one (percent closed canopy) of nine habitat variables examined. Of the 43 fish-community attributes and metric scores examined, the periphyton PC1 was positively related to one fish-community attribute (percent tolerant). Of the 21 invertebrate-community attributes and metric scores examined, the periphyton PC1 was positively related to one attribute (Ephemeroptera, Plecoptera, and Trichoptera (EPT) index) and one metric score (EPT index metric score). The periphyton PC1 was not related to the five basin-characteristic or 12 nutrient variables examined. The seston PC1 site score, which was most influenced by particulate organic carbon, was negatively related to two of the 12 nutrient variables examined: total Kjeldahl nitrogen (July) and total phosphorus (July). Of the 43 fish-community attributes and metric scores examined, the seston PC1 was negatively related to one attribute (large-river percent). Of the 21 invertebrate-community attributes and metric scores examined, the seston PC1 was negatively related to one attribute (EPT-to-total ratio). The seston PC1 was not related to the five basin-characteristics or nine habitat variables examined. To understand how the choice of sampling sites might have affected the results, an analysis of the drainage area and land use was done. The 34 randomly selected sites in the West Fork White River Basin in 2001 were skewed to small streams. The dominant mean land use of the sites sampled was agriculture, followed by forest, and urban. The values for nutrients (nitrate, total Kjeldahl nitrogen, total nitrogen, and total phosphorus) and chlorophyll a (periphyton and seston) were compared to published U.S. Environmental Protection Agency (USEPA) values for Aggregate Nutrient Ecoregions VI and IX and Level III Ecoregions 55 and 72. Several nutrient values were greater than the 25th percentile of the published USEPA values. Chlorophyll a (periphyton and seston) values were either greater than the 25th percentile of published USEPA values or extended data ranges in the Aggregate Nutrient Ecoregions and Level III Ecoregions. If the proposed values for the 25th percentile were adopted as nutrient water-quality criteria, many samples in the West Fork White River Basin would have exceeded the criteria.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20075222","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management, Division of Water, Assessment Branch","usgsCitation":"Frey, J.W., Caskey, B.J., and Lowe, B.S., 2007, Relations of Principal Components Analysis Site Scores to Algal-Biomass, Habitat, Basin-Characteristics, Nutrient, and Biological-Community Data in the West Fork White River Basin, Indiana, 2001: U.S. Geological Survey Scientific Investigations Report 2007-5222, vi, 26 p., https://doi.org/10.3133/sir20075222.","productDescription":"vi, 26 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Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caskey, Brian J.","contributorId":104119,"corporation":false,"usgs":true,"family":"Caskey","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, B. Scott","contributorId":52671,"corporation":false,"usgs":true,"family":"Lowe","given":"B.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":293234,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80659,"text":"sir20075181 - 2007 - Water and Streambed-Sediment Quality in the Upper Elk River Basin, Missouri and Arkansas, 2004-06","interactions":[],"lastModifiedDate":"2012-03-08T17:16:23","indexId":"sir20075181","displayToPublicDate":"2007-11-22T00:00:00","publicationYear":"2007","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":"2007-5181","title":"Water and Streambed-Sediment Quality in the Upper Elk River Basin, Missouri and Arkansas, 2004-06","docAbstract":"The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, collected water and streambedsediment samples in the Upper Elk River Basin in southwestern Missouri and northwestern Arkansas from October 2004 through December 2006. The samples were collected to determine the stream-water quality and streambed-sediment quality.\r\n\r\nIn 1998, the Missouri Department of Natural Resources included a 21.5-mile river reach of the Elk River on the 303(d) list of impaired waters in Missouri as required by Section 303(d) of the Federal Clean Water Act. The Elk River is on the 303(d) list for excess nutrient loading.\r\n\r\nThe total phosphorus distribution by decade indicates that the concentrations since 2000 have increased significantly from those in the 1960s, 1980s, and 1990s. The nitrate as nitrogen (nitrate) concentrations also have increased significantly in post-1985 from pre-1985 samples collected at the Elk River near Tiff City. Concentrations have increased significantly since the 1960s. Concentrations in the 1970s and 1980s, though similar, have increased from those in the 1960s, and the concentrations from the 1990s and 2000s increased still more. Nitrate concentrations significantly increased in samples that were collected during large discharges (greater than 355 cubic feet per second) from the Elk River near Tiff City.\r\n\r\nNitrate concentrations were largest in Indian Creek. Several sources of nitrate are present in the basin, including poultry facilities in the upper part of the basin, effluent inflow from communities of Anderson and Lanagan, land-applied animal waste, chemical fertilizer, and possible leaking septic systems. Total phosphorus concentrations were largest in Little Sugar Creek. The median concentration of total phosphorus from samples from Little Sugar Creek near Pineville was almost four times the median concentration in samples from the Elk River near Tiff City.\r\n\r\nMedian concentrations of nutrient species were greater in the stormwater samples than the median concentrations in the ambient samples. Nitrate concentrations in stormwater samples ranged from 133 to 179 percent of the concentration in the ambient samples. The total phosphorus concentrations in the stormwater samples ranged from about 200 to more than 600 percent of the concentration in the ambient samples.\r\n\r\nBase-flow conditions as reflected by the seepage run of the summer of 2006 indicate that 52 percent of the discharge at the Elk River near Tiff City is contributed by Indian Creek. Little Sugar Creek contributes 32 percent and Big Sugar Creek 9 percent of the discharge in the Elk River near Tiff City. Only about 7 percent of the discharge at Tiff City comes from the mainstem of the Elk River.\r\n\r\nConcentrations of dissolved ammonia plus organic nitrogen as nitrogen, dissolved ammonia as nitrogen, dissolved phosphorus, and dissolved orthophosphorus were detected in all streambed-sediment leachate samples.\r\n\r\nConcentrations of leachable nutrients in streambed-sediment samples generally tended to be slightly larger along the major forks of the Elk River as compared to tributary sites, with sites in the upper reaches of the major forks having among the largest concentrations. Concentrations of leachable nutrients in the major forks generally decreased with increasing distance downstream.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075181","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Smith, B.J., Richards, J.M., and Schumacher, J., 2007, Water and Streambed-Sediment Quality in the Upper Elk River Basin, Missouri and Arkansas, 2004-06: U.S. Geological Survey Scientific Investigations Report 2007-5181, vi, 54 p., https://doi.org/10.3133/sir20075181.","productDescription":"vi, 54 p.","temporalStart":"2004-10-01","temporalEnd":"2006-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":125750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5181.jpg"},{"id":10513,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5181/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.83333333333333,36.25 ], [ -94.83333333333333,36.916666666666664 ], [ -93.83333333333333,36.916666666666664 ], [ -93.83333333333333,36.25 ], [ -94.83333333333333,36.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b46ef","contributors":{"authors":[{"text":"Smith, Brenda J.","contributorId":61421,"corporation":false,"usgs":true,"family":"Smith","given":"Brenda","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Joseph M. 0000-0002-9822-2706 richards@usgs.gov","orcid":"https://orcid.org/0000-0002-9822-2706","contributorId":2370,"corporation":false,"usgs":true,"family":"Richards","given":"Joseph","email":"richards@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumacher, John G. jschu@usgs.gov","contributorId":2055,"corporation":false,"usgs":true,"family":"Schumacher","given":"John G.","email":"jschu@usgs.gov","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293213,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80662,"text":"fs20073096 - 2007 - Assessment of Undiscovered Petroleum Resources of the Laptev Sea Shelf Province, Russian Federation","interactions":[],"lastModifiedDate":"2012-02-10T00:11:37","indexId":"fs20073096","displayToPublicDate":"2007-11-22T00:00:00","publicationYear":"2007","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":"2007-3096","title":"Assessment of Undiscovered Petroleum Resources of the Laptev Sea Shelf Province, Russian Federation","docAbstract":"The Laptev Sea Shelf Province was assessed for undiscovered crude oil, natural gas, and natural gas liquids/condensates resources (collectively referred to as petroleum) as part of the U.S. Geological Survey's Circum-Arctic Oil and Gas Resource Appraisal. Using a geology-based methodology, the USGS estimates the mean undiscovered, conventional petroleum resources in the province to be approximately 9,300 million barrels of oil equivalent, including approximately 3,069 million barrels of crude oil, 32,252 billion cubic feet of natural gas, and 861 million barrels of natural gas liquids.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20073096","usgsCitation":"Klett, T., 2007, Assessment of Undiscovered Petroleum Resources of the Laptev Sea Shelf Province, Russian Federation (Version 1.0): U.S. Geological Survey Fact Sheet 2007-3096, 2 p., https://doi.org/10.3133/fs20073096.","productDescription":"2 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":120841,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3096.jpg"},{"id":10518,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3096/","linkFileType":{"id":5,"text":"html"}}],"projection":"Clarke 1866 Stereographic North Pole","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 100,65 ], [ 100,80 ], [ 170,80 ], [ 170,65 ], [ 100,65 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db6728b2","contributors":{"authors":[{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":293221,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80658,"text":"sir20075084 - 2007 - Water-quality characteristics for selected sites within the Milwaukee Metropolitan Sewerage District planning area, Wisconsin, February 2004-September 2005","interactions":[],"lastModifiedDate":"2022-12-19T22:54:52.196776","indexId":"sir20075084","displayToPublicDate":"2007-11-22T00:00:00","publicationYear":"2007","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":"2007-5084","title":"Water-quality characteristics for selected sites within the Milwaukee Metropolitan Sewerage District planning area, Wisconsin, February 2004-September 2005","docAbstract":"The Milwaukee Metropolitan Sewerage District (MMSD) Corridor Study is a three-phase project designed to improve the understanding of water resources in the MMSD planning area to assist managers and policy makers in their decisions. Phase I of the Study involved the compilation of existing data from multiple agencies into a single database. These data were analyzed to identify spatial, temporal, and technological gaps in the planning area, and were used to develop Phase II of the Study. Phase II, the subject of this report, involved an intensive data-collection effort by the U.S. Geological Survey (USGS) in cooperation with MMSD (from February, 2004, through September, 2005). This phase addressed the data gaps identified in Phase I and completed a baseline assessment of water quality for selected stream and harbor sites in the MMSD planning area. This baseline assessment included evaluations of surface-water chemistry and microbial concentrations in the streams and harbor sites; additionally, stream sites were evaluated for discharge, sediment chemistry, fish-tissue chemistry, habitat, and the quality of biological communities (including fish, macroinvertebrates, and algae). In all, data were collected at 15 stream and 6 harbor sites within the MMSD planning area, including manual sampling and analysis for more than 220 water-quality properties and constituents at all 21 sites, stream-discharge data for 14 stream sites, and automated water-quality sampling at 4 stream sites. A bioassessment during autumn 2004 included collection of biologic-community data and stream-habitat data at wadeable streams.\r\n\r\nQuartiles of Phase II aggregate bioassessment rankings were used to divide the 14 wadeable stream sites into four groups to investigate relations between bioassessment data and site characteristic and water-quality data. Quartile numbers reflect relative water quality: quartile 1 contained sites where the bioassessment data indicated the least-degraded water quality among those sampled, and quartile 4 contained sites that indicated the most-degraded water quality. Quartiles contained the following stream sites:\r\n\r\nQuartile 1: Milwaukee River near Cedarburg, Milwaukee River at Milwaukee, Jewel Creek, and Menomonee River at Menomonee Falls; \r\nQuartile 2: Willow Creek, Root River near Franklin, and Root River at Grange Avenue; \r\nQuartile 3: Menomonee River at Wauwatosa, Oak Creek, and Little Menomonee River; and \r\nQuartile 4: Honey Creek, Underwood Creek, Lincoln Creek, and Kinnickinnic River.\r\n\r\nSite characteristics (in this case, drainage area and land use) and selected water-quality data were summarized based on the four bioassessment quartiles to determine if there were relations with the aggregate bioassessment rankings. In general, sites having the largest drainage basins with the lowest proportion of urban land use were in quartile 1, and the smallest drainage basins with the highest proportion of urban land use were in quartile 4. Major ions, indicator organisms, and wastewater compounds generally had the lowest overall results in quartile 1 and highest overall results in quartile 4, with intermediate results in quartiles 2 and 3. Results for other constituent types (nutrients, mercury, pathogenic organisms, and bed sediment) were mixed, with results for some constituents decreasing from quartile 1 to quartile 4.\r\n\r\nWhere sufficient Phase I data were available, summary statistics (including medians) for chemical and biological data were calculated, allowing some comparisons to be made between Phase I and Phase II data. Comparisons between Phase I and Phase II results indicated a variety of changes with respect to water quality. Concentrations of chloride, nitrate, chlorophyll a, total phosphorus in water; arsenic in bed sediment; and fish Index of Biotic Integrity ratings generally indicated declines in water quality. However, concentrations of total nitrogen, suspended sediment, and fecal coliform in water; some trace eleme","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075084","collaboration":"Prepared in cooperation with the Milwaukee Metropolitan Sewerage District","usgsCitation":"Thomas, J.C., Lutz, M., Bruce, J.L., Graczyk, D., Richards, K.D., Krabbenhoft, D.P., Westenbroek, S.M., Scudder, B.C., Sullivan, D.J., and Bell, A.H., 2007, Water-quality characteristics for selected sites within the Milwaukee Metropolitan Sewerage District planning area, Wisconsin, February 2004-September 2005: U.S. Geological Survey Scientific Investigations Report 2007-5084, xiv, 187 p., https://doi.org/10.3133/sir20075084.","productDescription":"xiv, 187 p.","temporalStart":"2004-02-01","temporalEnd":"2005-09-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194401,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":410755,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83315.htm","linkFileType":{"id":5,"text":"html"}},{"id":10801,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5084/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","city":"Milwaukee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.194,\n              42.8333\n            ],\n            [\n              -88.194,\n              43.2833\n            ],\n            [\n              -87.8333,\n              43.2833\n            ],\n            [\n              -87.8333,\n              42.8333\n            ],\n            [\n              -88.194,\n              42.8333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f1e4b07f02db5ee75e","contributors":{"authors":[{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lutz, Michelle A.","contributorId":32862,"corporation":false,"usgs":true,"family":"Lutz","given":"Michelle A.","affiliations":[],"preferred":false,"id":293210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruce, Jennifer L. 0000-0003-4915-5567 jlbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-4915-5567","contributorId":132,"corporation":false,"usgs":true,"family":"Bruce","given":"Jennifer","email":"jlbruce@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graczyk, David J.","contributorId":107265,"corporation":false,"usgs":true,"family":"Graczyk","given":"David J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richards, Kevin D. krichard@usgs.gov","contributorId":280,"corporation":false,"usgs":true,"family":"Richards","given":"Kevin","email":"krichard@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":293206,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293209,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scudder, Barbara C.","contributorId":100319,"corporation":false,"usgs":true,"family":"Scudder","given":"Barbara","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":293211,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sullivan, Daniel J. 0000-0003-2705-3738 djsulliv@usgs.gov","orcid":"https://orcid.org/0000-0003-2705-3738","contributorId":1703,"corporation":false,"usgs":true,"family":"Sullivan","given":"Daniel","email":"djsulliv@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293207,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293208,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":80660,"text":"ofr20071372 - 2007 - Changes in streamflow, concentrations, and loads in selected nontidal basins in the Chesapeake Bay Watershed, 1985-2006","interactions":[],"lastModifiedDate":"2021-07-02T14:10:00.827397","indexId":"ofr20071372","displayToPublicDate":"2007-11-22T00:00:00","publicationYear":"2007","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":"2007-1372","title":"Changes in streamflow, concentrations, and loads in selected nontidal basins in the Chesapeake Bay Watershed, 1985-2006","docAbstract":"<p>Water-quality and streamflow data from 34 sites in nontidal parts of the Chesapeake Bay watershed are presented to document annual nutrient and sediment loads and trends for 1985 through 2006, as part of an annual evaluation of water-quality conditions by the U.S. EPA Chesapeake Bay Program. This study presents the results of trends analysis for streamflow, loads, and concentrations. Annual mean flow to the bay for 2006 (78,650 cubic feet per second) was approximately 1 percent above the long-term annual mean flow from 1937 to 2005. Total freshwater flow entering the bay for the summer season (July-August-September) was the only season classified as 'wet' in 2006. For the period 1985 through 2006, streamflow was significantly increasing at two of the 34 sites. Observed (bias-corrected) concentration summaries indicate higher ranges in concentrations of total nitrogen in the northern major river basins (Pennsylvania, Maryland, and northern Virginia) than in the southern basins in Virginia. Results indicate almost half of the monitoring sites in the northern basins exhibited significant downward bias-corrected concentration trends in total nitrogen over time; results were similar for total phosphorus and sediment. Generally, loads for all constituents at the nine River Input Monitoring Program (RIM) sites, which comprise 78 percent of the streamflow entering the bay, were lower in 2006 than in 2005. The loads for total nitrogen are below the long-term average loads at eight of the nine RIM sites and total phosphorus and sediment loads are also below the long-term average at seven RIM sites. Combined annual mean total nitrogen flow-weighted concentrations from the nine RIM sites indicated an upward tendency in 2006; in contrast, total phosphorus and sediment indicated a downward tendency. </p><p>From 1990 to 2006 for the 9 RIM sites, the mean concentrations of total nitrogen, total phosphorus, and sediment were 3.49, 0.195, and 116 milligrams per liter, respectively. Flow-weighted concentrations for phosphorus and sediment were lowest in the Susquehanna River at Conowingo, Md., most likely because of the trapping efficiency of three large reservoirs upstream from the sampling point. </p><p>For all 34 sites and all constituents, trends in concentrations (not adjusted for flow) showed 12 statistically significant upward trends and 59 statistically significant downward trends for the period 1985 through 2006. When trends in concentrations are adjusted for flow, they can be used as indicators of human activity and effectiveness of management actions. The flow-adjusted trends indicated significant downward trends at approximately 74, 68, and 32 percent of the sites for total nitrogen, total phosphorus, and sediment, respectively. This may indicate that management actions are having some effect in reducing nutrients and sediments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071372","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Chesapeake Bay Program Office, the Maryland Department of Natural Resources, and the Virginia Department of Environmental Quality","usgsCitation":"Langland, M.J., Moyer, D., and Blomquist, J., 2007, Changes in streamflow, concentrations, and loads in selected nontidal basins in the Chesapeake Bay Watershed, 1985-2006: U.S. Geological Survey Open-File Report 2007-1372, viii, 68 p., https://doi.org/10.3133/ofr20071372.","productDescription":"viii, 68 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1985-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":532,"text":"Pennsylvania Water Science 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,{"id":80663,"text":"sir20075221 - 2007 - Water-Quality Characteristics of Cottonwood Creek, Taggart Creek, Lake Creek, and Granite Creek, Grand Teton National Park, Wyoming, 2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:20","indexId":"sir20075221","displayToPublicDate":"2007-11-22T00:00:00","publicationYear":"2007","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":"2007-5221","title":"Water-Quality Characteristics of Cottonwood Creek, Taggart Creek, Lake Creek, and Granite Creek, Grand Teton National Park, Wyoming, 2006","docAbstract":"To address water-resource management objectives of the National Park Service in Grand Teton National Park, the U.S. Geological Survey in cooperation with the National Park Service has conducted water-quality sampling on streams in the Snake River headwaters area. A synoptic study of streams in the western part of the headwaters area was conducted during 2006. Sampling sites were located on Cottonwood Creek, Taggart Creek, Lake Creek, and Granite Creek. Sampling events in June, July, August, and October were selected to characterize different hydrologic conditions and different recreational-use periods. Stream samples were collected and analyzed for field measurements, major-ion chemistry, nutrients, selected trace elements, pesticides, and suspended sediment.\r\n\r\nWater types of Cottonwood Creek, Taggart Creek, Lake Creek, and Granite Creek were calcium bicarbonate. Dissolved-solids concentrations were dilute in Cottonwood Creek and Taggart Creek, which drain Precambrian-era rocks and materials derived from these rocks. Dissolved-solids concentrations ranged from 11 to 31 milligrams per liter for samples collected from Cottonwood Creek and Taggart Creek. Dissolved-solids concentrations ranged from 55 to 130 milligrams per liter for samples collected from Lake Creek and Granite Creek, which drain Precambrian-era rocks and Paleozoic-era rocks and materials derived from these rocks. Nutrient concentrations generally were small in samples collected from Cottonwood Creek, Taggart Creek, Lake Creek, and Granite Creek. Dissolved-nitrate concentrations were the largest in Taggart Creek. The Taggart Creek drainage basin has the largest percentage of barren land cover of the basins, and subsurface waters of talus slopes may contribute to dissolved-nitrate concentrations in Taggart Creek. Pesticide concentrations, trace-element concentrations, and suspended-sediment concentrations generally were less than laboratory reporting levels or were small for all samples.\r\n\r\nWater-quality characteristics of streams in the western part of the Snake River headwaters area were compared to water-quality characteristics of streams sampled in 2002 in the eastern part of the headwaters area. The median dissolved-solids concentration (55 milligrams per liter) for samples collected from western streams was smaller than the median dissolved-solids concentration (125 milligrams per liter) for samples collected from eastern streams. The small dissolved-solids concentrations in the western streams are a result of the large areas underlain by resistant Precambrian-era rocks that compose the Teton Range compared to the more erodable Mesozoic-era sedimentary rocks that compose the mountains in the eastern part of the headwaters area. The Teton Range also receives higher annual precipitation than the mountains in the east. The median total-nitrogen concentration (0.17 milligram per liter) in samples collected from streams in the western part of the Snake River headwaters area was larger than the median concentration (0.10 milligram per liter) for samples collected from streams in the eastern part of the headwaters area, in part because of larger dissolved-nitrate concentrations in samples from the western streams compared to the eastern streams. In contrast, total-phosphorus concentrations generally were larger for samples collected from eastern streams. Large total-phosphorus concentrations in the eastern streams were associated with large suspended-sediment concentrations. The source of the phosphorus and sediment probably is Mesozoic-era sedimentary rocks of marine origin that underlie parts of the eastern drainage basins.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075221","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Clark, M.L., Wheeler, J.D., and O’Ney, S.E., 2007, Water-Quality Characteristics of Cottonwood Creek, Taggart Creek, Lake Creek, and Granite Creek, Grand Teton National Park, Wyoming, 2006 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2007-5221, v, 44 p., https://doi.org/10.3133/sir20075221.","productDescription":"v, 44 p.","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":125736,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5221.jpg"},{"id":10519,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5221/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.08333333333333,43.166666666666664 ], [ -111.08333333333333,44.166666666666664 ], [ -110,44.166666666666664 ], [ -110,43.166666666666664 ], [ -111.08333333333333,43.166666666666664 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cfe4b07f02db546235","contributors":{"authors":[{"text":"Clark, Melanie L. mlclark@usgs.gov","contributorId":1827,"corporation":false,"usgs":true,"family":"Clark","given":"Melanie","email":"mlclark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wheeler, Jerrod D. 0000-0002-0533-8700 jwheele@usgs.gov","orcid":"https://orcid.org/0000-0002-0533-8700","contributorId":1893,"corporation":false,"usgs":true,"family":"Wheeler","given":"Jerrod","email":"jwheele@usgs.gov","middleInitial":"D.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":293223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Ney, Susan E.","contributorId":81198,"corporation":false,"usgs":true,"family":"O’Ney","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":293224,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80661,"text":"sim2936 - 2007 - Geologic Map of the MTM -30262 and -30267 Quadrangles, Hadriaca Patera Region of Mars","interactions":[],"lastModifiedDate":"2016-12-28T14:32:40","indexId":"sim2936","displayToPublicDate":"2007-11-22T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2936","title":"Geologic Map of the MTM -30262 and -30267 Quadrangles, Hadriaca Patera Region of Mars","docAbstract":"Introduction\r\n\r\nMars Transverse Mercator (MTM) -30262 and -30267 quadrangles cover the summit region and east margin of Hadriaca Patera, one of the Martian volcanoes designated highland paterae. MTM -30262 quadrangle includes volcanic deposits from Hadriaca Patera and Tyrrhena Patera (summit northeast of map area) and floor deposits associated with the Dao and Niger Valles canyon systems (south of map area). MTM -30267 quadrangle is centered on the caldera of Hadriaca Patera. The highland paterae are among the oldest, central-vent volcanoes on Mars and exhibit evidence for explosive eruptions, which make a detailed study of their geology an important component in understanding the evolution of Martian volcanism. Photogeologic mapping at 1:500,000-scale from analysis of Viking Orbiter images complements volcanological studies of Hadriaca Patera, geologic investigations of the other highland paterae, and an analysis of the styles and evolution of volcanic activity east of Hellas Planitia in the ancient, cratered highlands of Mars. This photogeologic study is an extension of regional geologic mapping east of Hellas Planitia.\r\n\r\nThe Martian highland paterae are low-relief, areally extensive volcanoes exhibiting central calderas and radial channels and ridges. Four of these volcanoes, Hadriaca, Tyrrhena, Amphitrites, and Peneus Paterae, are located in the ancient cratered terrains surrounding Hellas Planitia and are thought to be located on inferred impact basin rings or related fractures. Based on analyses of Mariner 9 images, Potter (1976), Peterson (1977), and King (1978) suggested that the highland paterae were shield volcanoes formed by eruptions of fluid lavas. Later studies noted morphologic similarities between the paterae and terrestrial ash shields and the lack of primary lava flow features on the flanks of the volcanoes. The degraded appearances of Hadriaca and Tyrrhena Paterae and the apparently easily eroded materials composing their low, broad shields further suggest that the highland paterae are composed predominantly of pyroclastic deposits. Analyses of eruption and flow processes indicate that the distribution of units at Hadriaca and Tyrrhena Paterae is consistent with emplacement by gravity-driven pyroclastic flows. Detailed geologic study of the summit caldera and flanks of Hadriaca Patera is essential to determine the types of volcanic materials exposed, the nature of the processes forming these deposits, and the role of volcanism in the evolution of the cratered highlands that are characteristic of the southern hemisphere of Mars.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sim2936","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Crown, D., and Greeley, R., 2007, Geologic Map of the MTM -30262 and -30267 Quadrangles, Hadriaca Patera Region of Mars (Version 1.0): U.S. Geological Survey Scientific Investigations Map 2936, Sheet: 49 x 29 inches, https://doi.org/10.3133/sim2936.","productDescription":"Sheet: 49 x 29 inches","costCenters":[{"id":130,"text":"Astrogeology Research Center","active":false,"usgs":true}],"links":[{"id":190824,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10516,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2007/2936/","linkFileType":{"id":5,"text":"html"}}],"scale":"1004000","projection":"Mars Transverse Mercator","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a84c2","contributors":{"authors":[{"text":"Crown, David A.","contributorId":102582,"corporation":false,"usgs":true,"family":"Crown","given":"David A.","affiliations":[],"preferred":false,"id":293220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greeley, Ronald","contributorId":20833,"corporation":false,"usgs":true,"family":"Greeley","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":293219,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80665,"text":"fs20073084 - 2007 - Water and agricultural-chemical transport in a Midwestern, tile-drained watershed: Implications for conservation practices","interactions":[],"lastModifiedDate":"2022-06-13T21:15:04.202027","indexId":"fs20073084","displayToPublicDate":"2007-11-22T00:00:00","publicationYear":"2007","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":"2007-3084","title":"Water and agricultural-chemical transport in a Midwestern, tile-drained watershed: Implications for conservation practices","docAbstract":"<p>The study of agricultural chemicals is one of five national priority topics being addressed by the National Water-Quality Assessment (NAWQA) Program in its second decade of studies, which began in 2001. Seven watersheds across the Nation were selected for the NAWQA agricultural-chemical topical study. The watersheds selected represent a range of agricultural settings - with varying crop types and agricultural practices related to tillage, irrigation, artificial drainage, and chemical use - as well as a range of landscapes with different geology, soils, topography, climate, and hydrology (Capel and others, 2004). Chemicals selected for study include nutrients (nitrogen and phosphorus) and about 50 commonly used pesticides. This study design leads to an improved understanding of many factors that can affect the movement of water and chemicals in different agricultural settings. Information from these studies will help with decision making related to chemical use, conservation, and other farming practices that are used to reduce runoff of agricultural chemicals and sediment from fields (Capel and others, 2004). This Fact Sheet highlights the results of the NAWQA agricultural chemical study in the Leary Weber Ditch Watershed in Hancock County, Indiana. This watershed was selected to represent a tile-drained, corn and soybean, humid area typical in the Midwest.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20073084","usgsCitation":"Baker, N.T., Stone, W.W., Frey, J.W., and Wilson, J.T., 2007, Water and agricultural-chemical transport in a Midwestern, tile-drained watershed: Implications for conservation practices: U.S. Geological Survey Fact Sheet 2007-3084, 6 p., https://doi.org/10.3133/fs20073084.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":124463,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3084.jpg"},{"id":402126,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_82824.htm"},{"id":10521,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3084/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Indiana","county":"Hancock","otherGeospatial":"Leary Weber Ditch Watershed","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"724\",\"properties\":{\"name\":\"Hancock\",\"state\":\"IN\"},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-85.5774,39.9459],[-85.5759,39.8738],[-85.5969,39.8735],[-85.5968,39.786],[-85.6333,39.7862],[-85.6338,39.6987],[-85.6876,39.6987],[-85.7993,39.6993],[-85.913,39.6976],[-85.9518,39.6969],[-85.9541,39.8696],[-85.9379,39.87],[-85.9369,39.9272],[-85.8625,39.9286],[-85.8624,39.9436],[-85.5774,39.9459]]]}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5fa2c5","contributors":{"authors":[{"text":"Baker, Nancy T. 0000-0002-7979-5744 ntbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":1955,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"ntbaker@usgs.gov","middleInitial":"T.","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":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":293230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, John T. 0000-0001-6752-4069 jtwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-6752-4069","contributorId":1954,"corporation":false,"usgs":true,"family":"Wilson","given":"John","email":"jtwilson@usgs.gov","middleInitial":"T.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293229,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80664,"text":"ofr20071357 - 2007 - Topographic Slope as a Proxy for Seismic Site-Conditions (VS30) and Amplification Around the Globe","interactions":[],"lastModifiedDate":"2012-02-02T00:14:05","indexId":"ofr20071357","displayToPublicDate":"2007-11-22T00:00:00","publicationYear":"2007","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":"2007-1357","title":"Topographic Slope as a Proxy for Seismic Site-Conditions (VS30) and Amplification Around the Globe","docAbstract":"Executive Summary\r\n\r\nIt is well-known that large global earthquakes can have a dramatic effect on local communities and the built environment. Moreover, ground motions amplified by surficial materials can exacerbate the situation, often making the difference between minor and major damage. For a real-time earthquake impact alert system, such as Prompt Assessment of Global Earthquakes for Response (PAGER) (Wald and others, 2006), we seek to rapidly evaluate potential ground shaking in the source region and subsequently provide an estimate of the population exposure to potentially fatal levels of ground shaking in any region of the world. The contribution of surficial geology (particularly soft sediments) to the amplification of ground shaking is an important component in predicting the levels of ground motion observed at any site. Unfortunately, the availability of information regarding seismic siteconditions is only available at a few sites around the globe.\r\n\r\nHerein, we describe a methodology for deriving maps of seismic site-conditions anywhere in the world using topographic slope as a proxy. Average shear-velocity down to 30 m (or VS30) measurements are correlated against topographic slope to develop two sets of coefficients for predicting VS30: one for active tectonic regions that possess dynamic topographic relief, and one for stable continental regions where changes in topography are more subdued. These coefficients have been applied to the continental United States, in addition to other regions around the world. They are subsequently compared to existing site-condition maps based on geology and observed VS30 measurements, where available. The application of the topographic slope method in regions with abundant VS30 measurements (for example California, Memphis, and Taiwan) indicates that this method provides site condition-maps of similar quality, or in some cases, maps superior to those developed from more traditional techniques.\r\n\r\nHaving a first-order assessment of seismic site-conditions anywhere in the world provides a valuable tool to rapidly estimate ground motions following any global earthquake, the primary motivation for this research. These VS30 maps will enable us to better quantify possible ground shaking and rapidly deliver these predictions to emergency managers and responders. In addition, the VS30 maps for the globe will also have practical applications for numerous related probabilistic- and scenario-based studies. To date, several researchers have requested maps or have used the approach outlined herein for their own applications (for example Cagnan and Kariptas, written commun., 2007; Harmandar and others, 2007).\r\n\r\nGiven that we anticipate a significant demand for these products, we have developed an internet delivery service so that users can download maps and grids of seismic site-conditions for specified regions. To some extent, these grids can also be customized by the user if they disagree with the predefined correlations derived using the methodologies described within this report.\r\n\r\nFinally, this report represents a more comprehensive account of this technique and provides a more fully illustrated global description of results than that given in Wald and Allen (2007), which has been accepted for publication in the Bulletin of the Seismological Society of America.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071357","usgsCitation":"Allen, T.I., and Wald, D.J., 2007, Topographic Slope as a Proxy for Seismic Site-Conditions (VS30) and Amplification Around the Globe (Version 1.0): U.S. Geological Survey Open-File Report 2007-1357, vi, 69 p., https://doi.org/10.3133/ofr20071357.","productDescription":"vi, 69 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192761,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10520,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1357/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629ce3","contributors":{"authors":[{"text":"Allen, Trevor I.","contributorId":60722,"corporation":false,"usgs":true,"family":"Allen","given":"Trevor","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":293226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":293225,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174091,"text":"70174091 - 2007 - Atlantic salmon genetics: Past, present and what's in the future?","interactions":[{"subject":{"id":70174091,"text":"70174091 - 2007 - Atlantic salmon genetics: Past, present and what's in the future?","indexId":"70174091","publicationYear":"2007","noYear":false,"chapter":"15","title":"Atlantic salmon genetics: Past, present and what's in the future?"},"predicate":"IS_PART_OF","object":{"id":70186595,"text":"70186595 - 2007 - The atlantic salmon: Genetics, conservation and management","indexId":"70186595","publicationYear":"2007","noYear":false,"title":"The atlantic salmon: Genetics, conservation and management"},"id":1}],"isPartOf":{"id":70186595,"text":"70186595 - 2007 - The atlantic salmon: Genetics, conservation and management","indexId":"70186595","publicationYear":"2007","noYear":false,"title":"The atlantic salmon: Genetics, conservation and management"},"lastModifiedDate":"2017-04-05T17:20:53","indexId":"70174091","displayToPublicDate":"2007-11-20T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"15","title":"Atlantic salmon genetics: Past, present and what's in the future?","docAbstract":"<p>No abstract available</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The atlantic salmon: Genetics, conservation and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Blackwell Publishing Ltd","doi":"10.1002/9780470995846.ch15","isbn":"9781405115827","usgsCitation":"Nielsen, J.L., 2007, Atlantic salmon genetics: Past, present and what's in the future?, chap. 15 <i>of</i> The atlantic salmon: Genetics, conservation and management, p. 470-480, https://doi.org/10.1002/9780470995846.ch15.","productDescription":"11 p.","startPage":"470","endPage":"480","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":324459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2007-11-20","publicationStatus":"PW","scienceBaseUri":"57724e2ce4b07657d1a81944","contributors":{"editors":[{"text":"Verspoor, Eric","contributorId":190587,"corporation":false,"usgs":false,"family":"Verspoor","given":"Eric","email":"","affiliations":[],"preferred":false,"id":689700,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Stradmeyer, Lee","contributorId":190588,"corporation":false,"usgs":false,"family":"Stradmeyer","given":"Lee","email":"","affiliations":[],"preferred":false,"id":689701,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Nielsen, Jennifer L.","contributorId":43722,"corporation":false,"usgs":true,"family":"Nielsen","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":689702,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Nielsen, Jennifer L.","contributorId":43722,"corporation":false,"usgs":true,"family":"Nielsen","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":640861,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80656,"text":"sir20075213 - 2007 - Summary of selected U.S. Geological survey data on domestic well water quality for the Centers for Disease Control's National Environmental Public Health Tracking Program","interactions":[],"lastModifiedDate":"2017-10-14T13:52:53","indexId":"sir20075213","displayToPublicDate":"2007-11-17T00:00:00","publicationYear":"2007","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":"2007-5213","title":"Summary of selected U.S. Geological survey data on domestic well water quality for the Centers for Disease Control's National Environmental Public Health Tracking Program","docAbstract":"About 10 to 30 percent of the population in most States uses domestic (private) water supply. In many States, the total number of people served by domestic supplies can be in the millions. The water quality of domestic supplies is inconsistently regulated and generally not well characterized. The U.S. Geological Survey (USGS) has two water-quality data sets in the National Water Information System (NWIS) database that can be used to help define the water quality of domestic-water supplies: (1) data from the National Water-Quality Assessment (NAWQA) Program, and (2) USGS State data. Data from domestic wells from the NAWQA Program were collected to meet one of the Program's objectives, which was to define the water quality of major aquifers in the United States. These domestic wells were located primarily in rural areas. Water-quality conditions in these major aquifers as defined by the NAWQA data can be compared because of the consistency of the NAWQA sampling design, sampling protocols, and water-quality analyses. The NWIS database is a repository of USGS water data collected for a variety of projects; consequently, project objectives and analytical methods vary. This variability can bias statistical summaries of contaminant occurrence and concentrations; nevertheless, these data can be used to define the geographic distribution of contaminants. Maps created using NAWQA and USGS State data in NWIS can show geographic areas where contaminant concentrations may be of potential human-health concern by showing concentrations relative to human-health water-quality benchmarks.\r\n\r\nOn the basis of national summaries of detection frequencies and concentrations relative to U.S. Environmental Protection Agency (USEPA) human-health benchmarks for trace elements, pesticides, and volatile organic compounds, 28 water-quality constituents were identified as contaminants of potential human-health concern. From this list, 11 contaminants were selected for summarization of water-quality data in 16 States (grantee States) that were funded by the Environmental Public Health Tracking (EPHT) Program of the Centers for Disease Control and Prevention (CDC). Only data from domestic-water supplies were used in this summary because samples from these wells are most relevant to human exposure for the targeted population. Using NAWQA data, the concentrations of the 11 contaminants were compared to USEPA human-health benchmarks. Using NAWQA and USGS State data in NWIS, the geographic distribution of the contaminants were mapped for the 16 grantee States. Radon, arsenic, manganese, nitrate, strontium, and uranium had the largest percentages of samples with concentrations greater than their human-health benchmarks. In contrast, organic compounds (pesticides and volatile organic compounds) had the lowest percentages of samples with concentrations greater than human-health benchmarks.\r\n\r\nResults of data retrievals and spatial analysis were compiled for each of the 16 States and are presented in State summaries for each State. Example summary tables, graphs, and maps based on USGS data for New Jersey are presented to illustrate how USGS water-quality and associated ancillary geospatial data can be used by the CDC to address goals and objectives of the EPHT Program.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075213","collaboration":"Prepared in cooperation with the Centers for Disease Control and Prevention","usgsCitation":"Bartholomay, R.C., Carter, J.M., Qi, S.L., Squillace, P.J., and Rowe, G.L., 2007, Summary of selected U.S. Geological survey data on domestic well water quality for the Centers for Disease Control's National Environmental Public Health Tracking Program (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2007-5213, Main Report: vi, 58 p.; State Summaries; Appendices, https://doi.org/10.3133/sir20075213.","productDescription":"Main Report: vi, 58 p.; State Summaries; Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":125755,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5213.jpg"},{"id":10498,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5213/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db6988fc","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Janet M. 0000-0002-6376-3473 jmcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-6376-3473","contributorId":339,"corporation":false,"usgs":true,"family":"Carter","given":"Janet","email":"jmcarter@usgs.gov","middleInitial":"M.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Squillace, Paul J.","contributorId":59415,"corporation":false,"usgs":true,"family":"Squillace","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rowe, Gary L. glrowe@usgs.gov","contributorId":1779,"corporation":false,"usgs":true,"family":"Rowe","given":"Gary","email":"glrowe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":293200,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":80655,"text":"ofr20061379 - 2007 - Great Basin Paleontological Bibliography","interactions":[],"lastModifiedDate":"2012-02-02T00:14:10","indexId":"ofr20061379","displayToPublicDate":"2007-11-17T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1379","title":"Great Basin Paleontological Bibliography","docAbstract":"Introduction\r\n\r\nThis work was conceived as a derivative product for 'The Metallogeny of the Great Basin' project of the Mineral Resources Program of the U.S. Geological Survey. In the course of preparing a fossil database for the Great Basin that could be accessed from the Internet, it was determined that a comprehensive paleontological bibliography must first be compiled, something that had not previously been done. This bibliography includes published papers and abstracts as well as unpublished theses and dissertations on fossils and stratigraphy in Nevada and adjoining portions of California and Utah.\r\n\r\nThis bibliography is broken into first-order headings by geologic age, secondary headings by taxonomic group, followed by ancillary topics of interest to both paleontologists and stratigraphers; paleoecology, stratigraphy, sedimentary petrology, paleogeography, tectonics, and petroleum potential.\r\n\r\nReferences were derived from usage of Georef, consultation with numerous paleontologists and geologists working in the Great Basin, and literature currently on hand with the authors. As this is a Web-accessible bibliography, we hope to periodically update it with new citations or older references that we have missed during this compilation. Hence, the authors would be grateful to receive notice of any new or old papers that the readers think should be added.\r\n\r\nAs a final note, we gratefully acknowledge the helpful reviews provided by A. Elizabeth J. Crafford (Anchorage, Alaska) and William R. Page (USGS, Denver, Colorado).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20061379","usgsCitation":"Blodgett, R., Zhang, N., Hofstra, A.H., and Morrow, J.R., 2007, Great Basin Paleontological Bibliography (Version 1.0): U.S. Geological Survey Open-File Report 2006-1379, 235 p., https://doi.org/10.3133/ofr20061379.","productDescription":"235 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192126,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10497,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1379/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abae4b07f02db672004","contributors":{"authors":[{"text":"Blodgett, Robert B.","contributorId":89612,"corporation":false,"usgs":true,"family":"Blodgett","given":"Robert B.","affiliations":[],"preferred":false,"id":293196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Ning","contributorId":76415,"corporation":false,"usgs":true,"family":"Zhang","given":"Ning","email":"","affiliations":[],"preferred":false,"id":293195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":293193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrow, Jared R.","contributorId":65934,"corporation":false,"usgs":true,"family":"Morrow","given":"Jared","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":293194,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80657,"text":"fs20073095 - 2007 - Ghana watershed prototype products","interactions":[],"lastModifiedDate":"2017-03-28T11:06:16","indexId":"fs20073095","displayToPublicDate":"2007-11-17T00:00:00","publicationYear":"2007","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":"2007-3095","title":"Ghana watershed prototype products","docAbstract":"<p><span>A number of satellite data sets are available through the U.S. Geological Survey (USGS) for monitoring land surface features. Representative data sets include Landsat, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), and Shuttle Radar Topography Mission (SRTM). The Ghana Watershed Prototype Products cover an area within southern Ghana, Africa, and include examples of the aforementioned data sets along with sample SRTM derivative data sets.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20073095","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Ghana watershed prototype products (Version 1.0): U.S. Geological Survey Fact Sheet 2007-3095, 2 p., https://doi.org/10.3133/fs20073095.","productDescription":"2 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":121288,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3095.jpg"},{"id":338449,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2007/3095/pdf/fs20073095.pdf"},{"id":10499,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3095/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679e8f","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534919,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}