{"pageNumber":"1877","pageRowStart":"46900","pageSize":"25","recordCount":184553,"records":[{"id":98898,"text":"ofr20101270 - 2010 - Hydrologic conditions in the Florida Panther National Wildlife Refuge, 2006-2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ofr20101270","displayToPublicDate":"2010-11-25T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1270","title":"Hydrologic conditions in the Florida Panther National Wildlife Refuge, 2006-2007","docAbstract":"Much of the surface water that flows into the Florida Panther National Wildlife Refuge (FPNWR) probably exits southward through Fakahatchee Strand as it did prior to development, because culverts and bridges constructed along I-75 allow overland flow to continue southward within the strand. During the dry season and periods of low water levels, however, much of the flow is diverted westward by the I-75 Canal into Merritt Canal at the southwestern corner of the FPNWR. Substantial drainage of groundwater from the FPNWR into the I-75 Canal is indicated by (1) greater surface-water outflows than inflows in the FPNWR, (2) flows that increase to the west along the I-75 Canal, and (3) correlation of rapid groundwater-level declines at sites close to the I-75 Canal with rapid declines in canal surface-water levels due to operation of a control structure in the Merritt Canal. This drainage of groundwater probably occurs through permeable limestone exposed in the I-75 Canal bank below a cap rock layer.\r\n\r\nCompared to predevelopment conditions, the time currently required to drain ponded water in some areas of the refuge should be less because of accelerated groundwater discharge into the I-75 Canal caused by the lowering of water levels in the canal during the peak of the wet season extending into the early dry season. This drainage probably reduces the duration of the hydroperiod in these wetlands from the wet season into the dry season, possibly reducing or limiting the extent or vitality of wildlife and plant community habitats.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101270","collaboration":"Prepared as part of the Department of the Interior Critical Ecosystems Studies Initiative and the U.S. Geological Survey Priority Ecosystems Science Initiative","usgsCitation":"Reese, R.S., 2010, Hydrologic conditions in the Florida Panther National Wildlife Refuge, 2006-2007: U.S. Geological Survey Open-File Report 2010-1270, 6 p., https://doi.org/10.3133/ofr20101270.","productDescription":"6 p.","temporalStart":"2006-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":126068,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1270.jpg"},{"id":14316,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1270/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5,25.083333333333332 ], [ -81.5,26.25 ], [ -81.25,26.25 ], [ -81.25,25.083333333333332 ], [ -81.5,25.083333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a25e4b07f02db60ec2a","contributors":{"authors":[{"text":"Reese, Ronald S. rsreese@usgs.gov","contributorId":1090,"corporation":false,"usgs":true,"family":"Reese","given":"Ronald","email":"rsreese@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":306862,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98896,"text":"pp1773 - 2010 - Groundwater availability in the Atlantic Coastal Plain of North and South Carolina","interactions":[],"lastModifiedDate":"2017-09-22T09:16:53","indexId":"pp1773","displayToPublicDate":"2010-11-25T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1773","title":"Groundwater availability in the Atlantic Coastal Plain of North and South Carolina","docAbstract":"The Atlantic Coastal Plain aquifers and confining units of North and South Carolina are composed of crystalline carbonate rocks, sand, clay, silt, and gravel and contain large volumes of high-quality groundwater. The aquifers have a long history of use dating back to the earliest days of European settlement in the late 1600s. Although extensive areas of some of the aquifers have or currently (2009) are areas of groundwater level declines from large-scale, concentrated pumping centers, large areas of the Atlantic Coastal Plain contain substantial quantities of high-quality groundwater that currently (2009) are unused.\r\n\r\nGroundwater use from the Atlantic Coastal Plain aquifers in North Carolina and South Carolina has increased during the past 60 years as the population has increased along with demands for municipal, industrial, and agricultural water needs. While North Carolina and South Carolina work to increase development of water supplies in response to the rapid growth in these coastal populations, both States recognize that they are facing a number of unanswered questions regarding availability of groundwater supplies and the best methods to manage these important supplies.\r\n\r\nAn in-depth assessment of groundwater availability of the Atlantic Coastal Plain aquifers of North and South Carolina has been completed by the U.S. Geological Survey Groundwater Resources Program. This assessment includes (1) a determination of the present status of the Atlantic Coastal Plain groundwater resources; (2) an explanation for how these resources have changed over time; and (3) development of tools to assess the system's response to stresses from potential future climate variability. Results from numerous previous investigations of the Atlantic Coastal Plain by Federal and State agencies have been incorporated into this effort.\r\n\r\nThe primary products of this effort are (1) comprehensive hydrologic datasets such as groundwater levels, groundwater use, and aquifer properties; (2) a revised hydrogeologic framework; (3) simulated water budgets of the overall study area along with several subareas; and (4) construction and calibration of a numerical modeling tool that is used to forecast the potential effects of climate change on groundwater levels.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/pp1773","collaboration":"Groundwater Resources Program","usgsCitation":"Campbell, B.G., and Coes, A.L., 2010, Groundwater availability in the Atlantic Coastal Plain of North and South Carolina: U.S. Geological Survey Professional Paper 1773, xxvi, 240 p.; 7 Plates; Plate 1: Section A-A 30 inches x 30 inches; Plate 2: Section B-B 37.61 inches x 33.89 inches; Plate 3: Section D-D, E-E 32 inches x 35.46 inches; Plate 4: Section F-F 24.32 inches x 25.14 inches; Plate 5: Section G-G 39.13 inches x 32.56 inches; Plate 6: Section H-H 42 inches x 37.46 inches; Plate 7: Section I-I, A-C 44.66 inches x 40.21 inches; Compressed PDF File containing Plates, https://doi.org/10.3133/pp1773.","productDescription":"xxvi, 240 p.; 7 Plates; Plate 1: Section A-A 30 inches x 30 inches; Plate 2: Section B-B 37.61 inches x 33.89 inches; Plate 3: Section D-D, E-E 32 inches x 35.46 inches; Plate 4: Section F-F 24.32 inches x 25.14 inches; Plate 5: Section G-G 39.13 inches x 32.56 inches; Plate 6: Section H-H 42 inches x 37.46 inches; Plate 7: Section I-I, A-C 44.66 inches x 40.21 inches; Compressed PDF File containing Plates","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":126769,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1773.jpg"},{"id":346013,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7RJ4GJF","text":"USGS data release","description":"USGS data release”","linkHelpText":"MODFLOW2000 and MODFLOW-ASP models used to simulate the groundwater flow in the Atlantic Coastal Plain, North and South Carolina and parts of Georgia and Virginia, Predevelopment to 2004"},{"id":14314,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1773/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina, South Carolina","otherGeospatial":"Atlantic Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84,30 ], [ -84,38 ], [ -75,38 ], [ -75,30 ], [ -84,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a73e4b07f02db643a1c","contributors":{"authors":[{"text":"Campbell, Bruce G. 0000-0003-4800-6674 bcampbel@usgs.gov","orcid":"https://orcid.org/0000-0003-4800-6674","contributorId":995,"corporation":false,"usgs":true,"family":"Campbell","given":"Bruce","email":"bcampbel@usgs.gov","middleInitial":"G.","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":true,"id":306853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coes, Alissa L. 0000-0001-6682-5417 alcoes@usgs.gov","orcid":"https://orcid.org/0000-0001-6682-5417","contributorId":4231,"corporation":false,"usgs":true,"family":"Coes","given":"Alissa","email":"alcoes@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306854,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98897,"text":"ofr20101284 - 2010 - Spatial and stage-structured population model of the American crocodile for comparison of comprehensive Everglades Restoration Plan (CERP) alternatives","interactions":[],"lastModifiedDate":"2012-02-02T00:07:57","indexId":"ofr20101284","displayToPublicDate":"2010-11-25T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1284","title":"Spatial and stage-structured population model of the American crocodile for comparison of comprehensive Everglades Restoration Plan (CERP) alternatives","docAbstract":"As part of the U.S. Geological Survey Priority Ecosystems Science (PES) initiative to provide the ecological science required during Everglades restoration, we have integrated current regional hydrologic models with American crocodile (Crocodylus acutus) research and monitoring data to create a model that assesses the potential impact of Comprehensive Everglades Restoration Plan (CERP) efforts on the American crocodile. A list of indicators was created by the Restoration Coordination and Verification (RECOVER) component of CERP to help determine the success of interim restoration goals. The American crocodile was established as an indicator of the ecological condition of mangrove estuaries due to its reliance upon estuarine environments characterized by low salinity and adequate freshwater inflow. To gain a better understanding of the potential impact of CERP restoration efforts on the American crocodile, a spatially explicit crocodile population model has been created that has the ability to simulate the response of crocodiles to various management strategies for the South Florida ecosystem. The crocodile model uses output from the Tides and Inflows in the Mangroves of the Everglades (TIME) model, an application of the Flow and Transport in a Linked Overland/Aquifer Density Dependent System (FTLOADDS) simulator. TIME has the capability to link to the South Florida Water Management Model (SFWMM), which is the primary regional tool used to assess CERP restoration scenarios. A crocodile habitat suitability index and spatial parameter maps that reflect salinity, water depth, habitat, and nesting locations are used as driving functions to construct crocodile finite rate of increase maps under different management scenarios. Local stage-structured models are integrated with a spatial landscape grid to display crocodile movement behavior in response to changing environmental conditions. Restoration efforts are expected to affect salinity levels throughout the habitat of the American crocodile. This modeling effort examines how CERP restoration alternatives will affect growth and survival rates of hatchling and juvenile crocodiles, hatchling dispersal to suitable nursery habitat, and relative abundance and distribution in response to changing salinity and water depth for all stage classes of crocodiles. The response of the American crocodile to restoration efforts will provide a quantifiable measure of restoration success. By applying the crocodile model to proposed restoration alternatives and predicting population responses, we can choose alternatives that approximate historical conditions, enhance habitat for multiple species, and identify future research needs.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101284","collaboration":"Prepared as part of the U.S. Geological Survey Priority Ecosystems Science Initiative ","usgsCitation":"Green, T.W., Slone, D., Swain, E.D., Cherkiss, M.S., Lohmann, M., Mazzotti, F., and Rice, K.G., 2010, Spatial and stage-structured population model of the American crocodile for comparison of comprehensive Everglades Restoration Plan (CERP) alternatives: U.S. Geological Survey Open-File Report 2010-1284, vi, 38 p.; Appendices, https://doi.org/10.3133/ofr20101284.","productDescription":"vi, 38 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":126067,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1284.jpg"},{"id":14315,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1284/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e6eee","contributors":{"authors":[{"text":"Green, Timothy W.","contributorId":58672,"corporation":false,"usgs":true,"family":"Green","given":"Timothy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":306860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":1749,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":306857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael S. 0000-0002-7802-6791 mcherkiss@usgs.gov","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":4571,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","email":"mcherkiss@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":306859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lohmann, Melinda 0000-0003-1472-159X mlohmann@usgs.gov","orcid":"https://orcid.org/0000-0003-1472-159X","contributorId":2971,"corporation":false,"usgs":true,"family":"Lohmann","given":"Melinda","email":"mlohmann@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":306858,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":306861,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":306855,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":98894,"text":"sim3133 - 2010 - Geologic map of the Sand Creek Pass quadrangle, Larimer County, Colorado, and Albany County, Wyoming","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"sim3133","displayToPublicDate":"2010-11-24T00:00:00","publicationYear":"2010","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":"3133","title":"Geologic map of the Sand Creek Pass quadrangle, Larimer County, Colorado, and Albany County, Wyoming","docAbstract":"New geologic mapping within the Sand Creek Pass 7.5 minute quadrangle defines geologic relationships within the northern Front Range of Colorado along the Wyoming border approximately 35 km south of Laramie, Wyo. Previous mapping within the quadrangle was limited to regional reconnaissance mapping; Eaton Reservoir 7.5 minute quadrangle to the east (2008), granite of the Rawah batholith to the south (1983), Laramie River valley to the west (1979), and the Laramie 30' x 60' quadrangle to the north (2007). Fieldwork was completed during 1981 and 1982 and during 2007 and 2008. Mapping was compiled at 1:24,000-scale. Minimal petrographic work was done and no isotope work was done in the quadrangle area, but detailed petrographic and isotope studies were performed on correlative map units in surrounding areas as part of a related regional study of the northern Front Range. Stratigraphy of Proterozoic rocks is primarily based upon field observation of bulk mineral composition, macroscopic textural features, and field relationships that allow for correlation with rocks studied in greater detail outside of the map area. Stratigraphy of Phanerozoic rocks is primarily based upon correlation with similar rocks to the north in the Laramie Basin of Wyoming and to the east in the Front Range of Colorado.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3133","usgsCitation":"Workman, J.B., and Braddock, W.A., 2010, Geologic map of the Sand Creek Pass quadrangle, Larimer County, Colorado, and Albany County, Wyoming: U.S. Geological Survey Scientific Investigations Map 3133, 1 Map Sheet; 1 Map Sheet: 50.07 inches x 30.00 inches; Downloads Directory , https://doi.org/10.3133/sim3133.","productDescription":"1 Map Sheet; 1 Map Sheet: 50.07 inches x 30.00 inches; Downloads Directory ","additionalOnlineFiles":"Y","costCenters":[{"id":263,"text":"Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":126129,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3133.jpg"},{"id":14312,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3133/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.86749999999999,40.8675 ], [ -105.86749999999999,41 ], [ -105.75,41 ], [ -105.75,40.8675 ], [ -105.86749999999999,40.8675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db688efe","contributors":{"authors":[{"text":"Workman, Jeremiah B. 0000-0001-7816-6420 jworkman@usgs.gov","orcid":"https://orcid.org/0000-0001-7816-6420","contributorId":714,"corporation":false,"usgs":true,"family":"Workman","given":"Jeremiah","email":"jworkman@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":306848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braddock, William A.","contributorId":61010,"corporation":false,"usgs":true,"family":"Braddock","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":306849,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98893,"text":"cir1362 - 2010 - Star crossings and stone monuments-Field astronomy by the Wheeler Survey in 1870s Colorado","interactions":[],"lastModifiedDate":"2012-02-02T00:04:45","indexId":"cir1362","displayToPublicDate":"2010-11-24T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1362","title":"Star crossings and stone monuments-Field astronomy by the Wheeler Survey in 1870s Colorado","docAbstract":"The decade of the 1870s was a time of extensive exploration and surveying in the American West. The nation needed knowledge of the cultural features, topography, natural resources, and geology of this land to promote and aid the 'rapid development of an empire.' The need was particularly acute in the region that still was known in the early 1870s as Colorado Territory. There, cities and towns were springing up along the base of the Front Range, railroads were expanding, and in the mountains prospectors and miners were exploring the countryside seeking and extracting the region's abundant mineral resources. Also, recurring conflicts between the newcomers and Native Americans made it desirable to have accurate maps for military purposes.\r\n\r\nFour major government-sponsored scientific surveys formed the principal organized effort to provide critical knowledge of the land. Civilian scientists led three of these: John Wesley Powell ('Geographical and Topographical Survey of the Colorado River of the West'); Ferdinand V. Hayden ('Geological and Geographical Survey of the Territories'); and Clarence King ('Geological Exploration of the Fortieth Parallel'). Lt. George Montague Wheeler, a young graduate of West Point (Class of 1866) and a member of the U.S. Army Corps of Engineers, led the fourth and most ambitious project ('United States Geographical Surveys West of the One Hundredth Meridian').","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/cir1362","usgsCitation":"Wilson, W.E., 2010, Star crossings and stone monuments-Field astronomy by the Wheeler Survey in 1870s Colorado: U.S. Geological Survey Circular 1362, vi, 38 p., https://doi.org/10.3133/cir1362.","productDescription":"vi, 38 p.","additionalOnlineFiles":"N","costCenters":[{"id":424,"text":"National Geospatial Program Geography Discipline","active":false,"usgs":true}],"links":[{"id":126127,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1362.jpg"},{"id":14311,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1362/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e491","contributors":{"authors":[{"text":"Wilson, William E.","contributorId":46478,"corporation":false,"usgs":true,"family":"Wilson","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":306847,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98895,"text":"ofr20101287 - 2010 - Analysis of California Condor (Gymnogyps californianus) use of six management units using location data from global positioning system transmitters, southern California, 2004-09-Initial report","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ofr20101287","displayToPublicDate":"2010-11-24T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1287","title":"Analysis of California Condor (Gymnogyps californianus) use of six management units using location data from global positioning system transmitters, southern California, 2004-09-Initial report","docAbstract":"This report provides an analysis of California Condor (Gymnogyps californianus) space use of six management units in southern California (Hopper Mountain and Bitter Creek National Wildlife Refuges, Wildlands Conservancy-Wind Wolves Preserve, Tejon Mountain Village Specific Plan, California Condor Study Area, and the Tejon Ranch excluding Tejon Mountain Village Specific Plan and California Condor Study Area). Space use was analyzed to address urgent management needs using location data from Global Positioning System transmitters. The U.S. Fish and Wildlife Service provided the U.S. Geological Survey with location data (2004-09) for California Condors from Global Positioning System transmitters and Geographic Information System data for the six management units in southern California.\r\n\r\nWe calculated relative concentration of use estimates for each management unit for each California Condor (n = 21) on an annual basis (n = 39 annual home ranges) and evaluated resource selection for the population each year using the individual as our sampling unit. The most striking result from our analysis was the recolonization of the Tejon Mountain Village Specific Plan, California Condor Study Area, and Tejon Ranch management units during 2008. During 2004-07, the home range estimate for two (25 percent) California Condors overlapped the Tejon Mountain Village Specific Plan, California Condor Study Area, and Tejon Ranch management units (n = 8), and use within the annual home range generally was bimodal and was concentrated on the Bitter Creek and Hopper Mountain National Wildlife Refuges. However, 10 (77 percent) California Condor home ranges overlapped the Tejon Mountain Village Specific Plan, California Condor Study Area, and Tejon Ranch management units during 2008 (n = 13), and by 2009, the home range of every condor carrying a Global Positioning System transmitter (n = 14) overlapped these management units. Space use was multimodal within the home range during 2008-09 and was concentrated on Hopper Mountain Refuge in the south, Bittercreek Refuge and the Wind Wolves Preserve in the northwest, and the Tejon Mountain Village Specific Plan, California Condor Study Area, and Tejon Ranch management units in the northeast. Recolonization of the Tejon Mountain Village Specific Plan, California Condor Study Area, and Tejon Ranch management units reestablished traditional condor movement and foraging patterns in southern California and provides the travel corridor (approximately 20 kilometers wide) for recolonization of the northeastern part of the species historical range.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101287","usgsCitation":"Johnson, M., Kern, J., and Haig, S.M., 2010, Analysis of California Condor (Gymnogyps californianus) use of six management units using location data from global positioning system transmitters, southern California, 2004-09-Initial report: U.S. Geological Survey Open-File Report 2010-1287, iv, 24 p.; Appendix, https://doi.org/10.3133/ofr20101287.","productDescription":"iv, 24 p.; Appendix","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":126128,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1287.jpg"},{"id":14313,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1287/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,34 ], [ -122,37 ], [ -117.66666666666667,37 ], [ -117.66666666666667,34 ], [ -122,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db680cc7","contributors":{"authors":[{"text":"Johnson, Matthew mjjohnson@usgs.gov","contributorId":29536,"corporation":false,"usgs":true,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","affiliations":[],"preferred":false,"id":306851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kern, Jeffrey","contributorId":83632,"corporation":false,"usgs":true,"family":"Kern","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":306852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":306850,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198307,"text":"70198307 - 2010 - Low‐productivity Hawaiian volcanism between Kaua‘i and O‘ahu","interactions":[],"lastModifiedDate":"2021-03-16T13:10:58.344314","indexId":"70198307","displayToPublicDate":"2010-11-23T08:08:05","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Low‐productivity Hawaiian volcanism between Kaua‘i and O‘ahu","docAbstract":"<p><span>The longest distance between subaerial shield volcanoes in the Hawaiian Islands is between the islands of Kaua‘i and O‘ahu, where a field of submarine volcanic cones formed astride the axis of the Hawaiian chain during a period of low magma productivity. The submarine volcanoes lie ∼25–30 km west of Ka‘ena Ridge that extends ∼80 km from western O‘ahu. These volcanoes were sampled by three Jason2 dives. The cones are flat topped, &lt;400 m high and 0.4–2 km in diameter at water depths between ∼2700 and 4300 m, and consist predominantly of pillowed flows. Ar‐Ar and K‐Ar ages of 11 tholeiitic lavas are between 4.9 and 3.6 Ma. These ages overlap with shield volcanism on Kaua‘i (5.1–4.0 Ma) and Wai‘anae shield basalts (3.9–3.1 Ma) on O‘ahu. Young alkalic lavas (circa 0.37 Ma) sampled southwest of Ka‘ena Ridge are a form of offshore secondary volcanism. Half of the volcanic cones contain high‐SiO</span><sub>2</sub><span>&nbsp;basalts (51.0–53.5 wt % SiO</span><sub>2</sub><span>). The trends of isotopic compositions of West Ka‘ena tholeiitic lavas diverge from the main Ko‘olau‐Kea shield binary mixing trend in isotope diagrams and extend to lower&nbsp;</span><sup>208</sup><span>Pb/</span><sup>204</sup><span>Pb and&nbsp;</span><sup>206</sup><span>Pb/</span><sup>204</sup><span>Pb than any Hawaiian tholeiitic lava. West Ka‘ena tholeiitic lavas have geochemical and isotopic characteristics similar to volcanoes of the Loa trend. Hence, our results show that the Loa‐type volcanism has persisted for at least 4.9 Myr, beginning prior to the development of the dual, subparallel chain of volcanoes. Several West Ka‘ena samples are similar to higher SiO</span><sub>2</sub><span>, Loa trend lavas of Ko‘olau Makapu‘u stage, Lāna‘i, and Kaho‘olawe; these lavas may have been derived from a pyroxenite source in the mantle. The high Ni contents of olivines in West Ka‘ena lavas also indicate contribution from pyroxenite‐derived melting. Average compositions of Hawaiian shield volcanoes show a clear relation between&nbsp;</span><sup>206</sup><span>Pb/</span><sup>204</sup><span>Pb and SiO</span><sub>2</sub><span>&nbsp;within Loa trend volcanoes, which supports a prominent but variable influence of pyroxenite in the Hawaiian plume source. In addition, both Pb isotopes and volcano volume show a steady increase with time starting from a minimum west of Ka‘ena Ridge. The entrained mafic component in the Hawaiian plume is probably not controlling the increasing magma productivity in the Hawaiian Islands.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GC003233","usgsCitation":"Greene, A., Garcia, M.O., Weis, D., Ito, G., Kuga, M., Robinson, J., and Yamasaki, S., 2010, Low‐productivity Hawaiian volcanism between Kaua‘i and O‘ahu: Geochemistry, Geophysics, Geosystems, v. 11, no. 11, Q0AC08, 30 p., https://doi.org/10.1029/2010GC003233.","productDescription":"Q0AC08, 30 p.","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":475638,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gc003233","text":"Publisher Index Page"},{"id":356038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.45532226562497,\n              18.802318121688117\n            ],\n            [\n              -154.632568359375,\n              18.802318121688117\n            ],\n            [\n              -154.632568359375,\n              22.370396344320053\n            ],\n            [\n              -160.45532226562497,\n              22.370396344320053\n            ],\n            [\n              -160.45532226562497,\n              18.802318121688117\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"11","noUsgsAuthors":false,"publicationDate":"2010-11-23","publicationStatus":"PW","scienceBaseUri":"5b98b6b6e4b0702d0e844c6e","contributors":{"authors":[{"text":"Greene, A.","contributorId":34711,"corporation":false,"usgs":true,"family":"Greene","given":"A.","email":"","affiliations":[],"preferred":false,"id":740971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Michael O.","contributorId":51636,"corporation":false,"usgs":true,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":740972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weis, Dominique","contributorId":121531,"corporation":false,"usgs":true,"family":"Weis","given":"Dominique","affiliations":[],"preferred":false,"id":740973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ito, Garrett","contributorId":67396,"corporation":false,"usgs":true,"family":"Ito","given":"Garrett","email":"","affiliations":[],"preferred":false,"id":740974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuga, Maia","contributorId":206540,"corporation":false,"usgs":false,"family":"Kuga","given":"Maia","email":"","affiliations":[],"preferred":false,"id":740975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, Joel jrobins@usgs.gov","contributorId":194404,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel","email":"jrobins@usgs.gov","affiliations":[],"preferred":true,"id":740976,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yamasaki, Seiko","contributorId":206541,"corporation":false,"usgs":false,"family":"Yamasaki","given":"Seiko","email":"","affiliations":[],"preferred":false,"id":740977,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":98889,"text":"ofr20101211 - 2010 - Estimating Monthly Water Withdrawals, Return Flow, and Consumptive Use in the Great Lakes Basin","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ofr20101211","displayToPublicDate":"2010-11-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1211","title":"Estimating Monthly Water Withdrawals, Return Flow, and Consumptive Use in the Great Lakes Basin","docAbstract":"Water-resource managers and planners require water-withdrawal, return-flow, and consumptive-use data to understand how anthropogenic (human) water use affects the hydrologic system. Water models like MODFLOW and GSFLOW use calculations and input values (including water-withdrawal and return flow data) to simulate and predict the effects of water use on aquifer and stream conditions. Accurate assessments of consumptive use, interbasin transfer, and areas that are on public supply or sewer are essential in estimating the withdrawal and return-flow data needed for the models. As the applicability of a model to real situations depends on accurate input data, limited or poor water-use data hampers the ability of modelers to simulate and predict hydrologic conditions. Substantial differences exist among the many agencies nationwide that are responsible for compiling water-use data including what data are collected, how the data are organized, how often the data are collected, quality assurance, required level of accuracy, and when data are released to the public. This poster presents water-use information and estimation methods summarized from recent U.S. Geological Survey (USGS) reports with the intent to assist water-resource managers and planners who need estimates of monthly water withdrawals, return flows, and consumptive use. This poster lists references used in Shaffer (2009) for water withdrawals, consumptive use, and return flows. Monthly percent of annual withdrawals and monthly consumptive-use coefficients are used to compute monthly water withdrawals, consumptive use, and return flow for the Great Lakes Basin.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101211","collaboration":"Prepared by the USGS Ohio Water Science Center","usgsCitation":"Shaffer, K., and Stenback, R.S., 2010, Estimating Monthly Water Withdrawals, Return Flow, and Consumptive Use in the Great Lakes Basin: U.S. Geological Survey Open-File Report 2010-1211, Poster: 42 inches x 87 inches; Components of Water Use Figure poster: 17 inches x 11 inches, https://doi.org/10.3133/ofr20101211.","productDescription":"Poster: 42 inches x 87 inches; Components of Water Use Figure poster: 17 inches x 11 inches","additionalOnlineFiles":"Y","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":126150,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1211.gif"},{"id":14307,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1211/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc9c5","contributors":{"authors":[{"text":"Shaffer, Kimberly H.","contributorId":98275,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly H.","affiliations":[],"preferred":false,"id":306840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stenback, Rosemary S. rsstenba@usgs.gov","contributorId":215,"corporation":false,"usgs":true,"family":"Stenback","given":"Rosemary","email":"rsstenba@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":306839,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98892,"text":"fs20103109 - 2010 - Historical files from Federal government mineral exploration-assistance programs, 1950 to 1974","interactions":[],"lastModifiedDate":"2012-02-02T00:04:46","indexId":"fs20103109","displayToPublicDate":"2010-11-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3109","title":"Historical files from Federal government mineral exploration-assistance programs, 1950 to 1974","docAbstract":"Congress enacted the Defense Production Act in 1950 to provide funding and support for the exploration and development of critical mineral resources. From 1950 to 1974, three Department of the Interior agencies carried out this mission. Contracts with mine owners provided financial assistance for mineral exploration on a joint-participation basis. These contracts are documented in more than 5,000 'dockets' now archived online by the U.S. Geological Survey. This archive provides access to unique and difficult to recreate information, such as drill logs, assay results, and underground geologic maps, that is invaluable to land and resource management organizations and the minerals industry.\r\n\r\nAn effort to preserve the data began in 2009, and the entire collection of dockets was electronically scanned. The scanning process used optical character recognition (OCR) when possible, and files were converted into Portable Document Format (.pdf) files, which require Adobe Reader or similar software for viewing. In 2010, the scans were placed online (http://minerals.usgs.gov/dockets/) and are available to download free of charge. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103109","usgsCitation":"Frank, D.G., 2010, Historical files from Federal government mineral exploration-assistance programs, 1950 to 1974: U.S. Geological Survey Fact Sheet 2010-3109, 2 p., https://doi.org/10.3133/fs20103109.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1950-01-01","temporalEnd":"1974-12-31","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":126148,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3109.jpg"},{"id":14310,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3109/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db688593","contributors":{"authors":[{"text":"Frank, David G. dfrank@usgs.gov","contributorId":3274,"corporation":false,"usgs":true,"family":"Frank","given":"David","email":"dfrank@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":306846,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98888,"text":"sir20105169 - 2010 - Approaches to highly parameterized inversion-A guide to using PEST for groundwater-model calibration","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105169","displayToPublicDate":"2010-11-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5169","title":"Approaches to highly parameterized inversion-A guide to using PEST for groundwater-model calibration","docAbstract":"Highly parameterized groundwater models can create calibration difficulties. Regularized inversion-the combined use of large numbers of parameters with mathematical approaches for stable parameter estimation-is becoming a common approach to address these difficulties and enhance the transfer of information contained in field measurements to parameters used to model that system. Though commonly used in other industries, regularized inversion is somewhat imperfectly understood in the groundwater field. There is concern that this unfamiliarity can lead to underuse, and misuse, of the methodology. This document is constructed to facilitate the appropriate use of regularized inversion for calibrating highly parameterized groundwater models. The presentation is directed at an intermediate- to advanced-level modeler, and it focuses on the PEST software suite-a frequently used tool for highly parameterized model calibration and one that is widely supported by commercial graphical user interfaces. A brief overview of the regularized inversion approach is provided, and techniques for mathematical regularization offered by PEST are outlined, including Tikhonov, subspace, and hybrid schemes. Guidelines for applying regularized inversion techniques are presented after a logical progression of steps for building suitable PEST input. The discussion starts with use of pilot points as a parameterization device and processing/grouping observations to form multicomponent objective functions. A description of potential parameter solution methodologies and resources available through the PEST software and its supporting utility programs follows. Directing the parameter-estimation process through PEST control variables is then discussed, including guidance for monitoring and optimizing the performance of PEST. Comprehensive listings of PEST control variables, and of the roles performed by PEST utility support programs, are presented in the appendixes. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105169","collaboration":"Prepared in cooperation with the Groundwater Resources Program and Global Change Research and Development","usgsCitation":"Doherty, J.E., and Hunt, R.J., 2010, Approaches to highly parameterized inversion-A guide to using PEST for groundwater-model calibration: U.S. Geological Survey Scientific Investigations Report 2010-5169, vi, 37 p.; Appendices, https://doi.org/10.3133/sir20105169.","productDescription":"vi, 37 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":126149,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5169.jpg"},{"id":14306,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5169/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a32d","contributors":{"authors":[{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":306838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306837,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98890,"text":"ofr20101239 - 2010 - Identification of tsunami deposits in the geologic record; developing criteria using recent tsunami deposits","interactions":[],"lastModifiedDate":"2012-02-02T00:04:46","indexId":"ofr20101239","displayToPublicDate":"2010-11-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1239","title":"Identification of tsunami deposits in the geologic record; developing criteria using recent tsunami deposits","docAbstract":"There is a need for a clear procedure to identify tsunami deposits in the geologic record. Data from published studies documenting recent tsunami deposits provide a means of developing identification criteria based on the sedimentary characteristics of unequivocal tsunami deposits. Recent tsunami deposits have many sedimentary characteristics in common. All had sharp or erosional basal contacts. Sand was typically deposited in sheets that blanketed pre-existing topography and generally thinned landward. Deposit thickness was dependent on local topography; deposits were thicker in swales or local depressions and thinner on ridges or topographic highs. Deposits typically had 1-4 layers. Normal grading was common and often confined to individual layers. In muddy environments, sediments contained mud and soil rip-up clasts and mud often capped the deposits or layers. Boulders were often present, either isolated or scattered in groups. Sedimentary structures were rare, and included cross-bedding, laminations, scour and fill structures, and truncated flame structures. The composition, grain size, and surface texture of the grains reflected the coastal and nearshore source for the sediments. These sedimentary characteristics are the basis for developing site-specific tsunami deposit identification criteria that can be used in paleotsunami deposits investigations. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101239","usgsCitation":"Peters, R., and Jaffe, B., 2010, Identification of tsunami deposits in the geologic record; developing criteria using recent tsunami deposits: U.S. Geological Survey Open-File Report 2010-1239, iv, 28 p.; Appendix, https://doi.org/10.3133/ofr20101239.","productDescription":"iv, 28 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1239.gif"},{"id":14308,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1239/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e89a","contributors":{"authors":[{"text":"Peters, Robert","contributorId":32494,"corporation":false,"usgs":true,"family":"Peters","given":"Robert","email":"","affiliations":[],"preferred":false,"id":306842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaffe, Bruce","contributorId":9219,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","affiliations":[],"preferred":false,"id":306841,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98891,"text":"cir1363 - 2010 - Western Mineral and Environmental Resources Science Center--providing comprehensive earth science for complex societal issues","interactions":[],"lastModifiedDate":"2012-02-02T00:04:45","indexId":"cir1363","displayToPublicDate":"2010-11-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1363","title":"Western Mineral and Environmental Resources Science Center--providing comprehensive earth science for complex societal issues","docAbstract":"Minerals in the environment and products manufactured from mineral materials are all around us and we use and come into contact with them every day. They impact our way of life and the health of all that lives. Minerals are critical to the Nation's economy and knowing where future mineral resources will come from is important for sustaining the Nation's economy and national security.\r\n\r\nThe U.S. Geological Survey (USGS) Mineral Resources Program (MRP) provides scientific information for objective resource assessments and unbiased research results on mineral resource potential, production and consumption statistics, as well as environmental consequences of mining. The MRP conducts this research to provide information needed for land planners and decisionmakers about where mineral commodities are known and suspected in the earth's crust and about the environmental consequences of extracting those commodities. As part of the MRP scientists of the Western Mineral and Environmental Resources Science Center (WMERSC or 'Center' herein) coordinate the development of national, geologic, geochemical, geophysical, and mineral-resource databases and the migration of existing databases to standard models and formats that are available to both internal and external users. The unique expertise developed by Center scientists over many decades in response to mineral-resource-related issues is now in great demand to support applications such as public health research and remediation of environmental hazards that result from mining and mining-related activities.\r\nWestern Mineral and Environmental Resources Science Center\r\n\r\nResults of WMERSC research provide timely and unbiased analyses of minerals and inorganic materials to (1) improve stewardship of public lands and resources; (2) support national and international economic and security policies; (3) sustain prosperity and improve our quality of life; and (4) protect and improve public health, safety, and environmental quality. The MRP supports approximately 40 USGS research specialists who utilize cooperative agreements with universities, industry, and other governmental agencies to support their collaborative research and information exchange.\r\n\r\nScientists of the WMERSC study how and where non-fuel mineral resources form and are concentrated in the earth's crust, where mineral resources might be found in the future, and how mineral materials interact with the environment to affect human and ecosystem health.\r\n\r\nNatural systems (ecosystems) are complex - our understanding of how ecosystems operate requires collecting and synthesizing large amounts of geologic, geochemical, biologic, hydrologic, and meteorological information. Scientists in the Center strive to understand the interplay of various processes and how they affect the structure, composition, and health of ecosystems. Such understanding, which is then summarized in publicly available reports, is used to address and solve a wide variety of issues that are important to society and the economy.\r\n\r\nWMERSC scientists have extensive national and international experience in these scientific specialties and capabilities - they have collaborated with many Federal, State, and local agencies; with various private sector organizations; as well as with foreign countries and organizations. Nearly every scientific and societal challenge requires a different combination of scientific skills and capabilities. With their breadth of scientific specialties and capabilities, the scientists of the WMERSC can provide scientifically sound approaches to a wide range of societal challenges and issues. The following sections describe examples of important issues that have been addressed by scientists in the Center, the methods employed, and the relevant conclusions. New directions are inevitable as societal needs change over time.\r\n\r\nScientists of the WMERSC have a diverse set of skills and capabilities and are proficient in the collection and integration of","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/cir1363","usgsCitation":"Frank, D.G., Wallace, A.R., and Schneider, J.L., 2010, Western Mineral and Environmental Resources Science Center--providing comprehensive earth science for complex societal issues: U.S. Geological Survey Circular 1363, iv, 32 p., https://doi.org/10.3133/cir1363.","productDescription":"iv, 32 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":126147,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1363.jpg"},{"id":14309,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1363/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c43f","contributors":{"authors":[{"text":"Frank, David G. dfrank@usgs.gov","contributorId":3274,"corporation":false,"usgs":true,"family":"Frank","given":"David","email":"dfrank@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":306843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Alan R.","contributorId":6024,"corporation":false,"usgs":true,"family":"Wallace","given":"Alan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":306845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneider, Jill L. jschnidr@usgs.gov","contributorId":4322,"corporation":false,"usgs":true,"family":"Schneider","given":"Jill","email":"jschnidr@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":306844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198324,"text":"70198324 - 2010 - The role of water in generating the calc-alkaline trend: New volatile data for aleutian magmas and a new tholeiitic index","interactions":[],"lastModifiedDate":"2018-07-31T09:48:10","indexId":"70198324","displayToPublicDate":"2010-11-18T10:50:54","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"The role of water in generating the calc-alkaline trend: New volatile data for aleutian magmas and a new tholeiitic index","docAbstract":"<p><span>The origin of tholeiitic (TH) versus calc-alkaline (CA) magmatic trends has long been debated. Part of the problem stems from the lack of a quantitative measure for the way in which a magma evolves. Recognizing that the salient feature in many TH–CA discrimination diagrams is enrichment in Fe during magma evolution, we have developed a quantitative index of Fe enrichment, the Tholeiitic Index (THI): THI = Fe</span><sub>4</sub><sub>·0</sub><span>/Fe</span><sub>8</sub><sub>·0</sub><span>, where Fe</span><sub>4</sub><sub>·0</sub><span>&nbsp;is the average FeO* concentration of samples with 4 ± 1 wt % MgO, and Fe</span><sub>8</sub><sub>·0</sub><span>&nbsp;is the average FeO* at 8 ± 1 wt % MgO. Magmas with THI &gt; 1 have enriched in FeO* during differentiation from basalts to andesites and are tholeiitic; magmas with THI &lt; 1 are calc-alkaline. Most subduction zone volcanism is CA, but to varying extents; the THI expresses the continuum of Fe enrichment observed in magmatic suites in all tectonic settings. To test various controls on the development of CA trends, we present new magmatic water measurements in melt inclusions from eight volcanoes from the Aleutian volcanic arc (Augustine, Emmons, Shishaldin, Akutan, Unalaska, Okmok, Seguam, and Korovin). Least degassed H</span><sub>2</sub><span>O contents vary from ∼2 wt % (Shishaldin) to &gt;7 wt % (Augustine), spanning the global range in arc mafic magmas. Within the Aleutian data, H</span><sub>2</sub><span>O correlates negatively with THI, from strongly calc-alkaline (Augustine, THI = 0·65) to moderately tholeiitic (Shishaldin, THI = 1·16). The relationship between THI and magmatic water is maintained when data are included from additional arc volcanoes, back-arc basins, ocean islands, and mid-ocean ridge basalts (MORBs), supporting a dominant role of magmatic water in generating CA trends. An effective break between TH and CA trends occurs at ∼2 wt % H</span><sub>2</sub><span>O. Both pMELTs calculations and laboratory experiments demonstrate that the observed co-variation of H</span><sub>2</sub><span>O and THI in arcs can be generated by the effect of H</span><sub>2</sub><span>O on the suppression of plagioclase and the relative enhancement of Fe-oxides on the liquid line of descent. The full THI–H</span><sub>2</sub><span>O array requires an increase in fO</span><sub>2</sub><span>&nbsp;with H</span><sub>2</sub><span>O, from ≤FMQ (where FMQ is the fayalite–magnetite–quartz buffer) in MORB to ∼ΔFMQ +0·5 to +2 in arcs, consistent with inferences from measured Fe and S species in glasses and melt inclusions. A curve fit to the data, H</span><sub>2</sub><span>O (wt % ± 1·2) = exp[(1·26 – THI)/0·32], may provide a useful tool for estimating the H</span><sub>2</sub><span>O content of magmas that are inaccessible to melt inclusion study.</span></p>","language":"English","publisher":"Oxford ","doi":"10.1093/petrology/egq062","usgsCitation":"Zimmer, M.M., Plank, T., Hauri, E.H., Yogodzinski, G., Stelling, P.L., Larsen, J., Singer, B., Jicha, B.R., Mandeville, C., and Nye, C.J., 2010, The role of water in generating the calc-alkaline trend: New volatile data for aleutian magmas and a new tholeiitic index: Journal of Petrology, v. 51, no. 12, p. 2411-2444, https://doi.org/10.1093/petrology/egq062.","productDescription":"34 p.","startPage":"2411","endPage":"2444","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":356055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"12","noUsgsAuthors":false,"publicationDate":"2010-11-18","publicationStatus":"PW","scienceBaseUri":"5b98b6b7e4b0702d0e844c70","contributors":{"authors":[{"text":"Zimmer, Mindy M.","contributorId":206549,"corporation":false,"usgs":false,"family":"Zimmer","given":"Mindy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plank, Terry","contributorId":16743,"corporation":false,"usgs":false,"family":"Plank","given":"Terry","affiliations":[{"id":7135,"text":"Lamont Doherty Earth Observatory, Columbia University, Palisades, NY","active":true,"usgs":false}],"preferred":false,"id":741045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hauri, Erik H.","contributorId":199798,"corporation":false,"usgs":false,"family":"Hauri","given":"Erik","email":"","middleInitial":"H.","affiliations":[{"id":35612,"text":"Department of Terrestrial Magnetism, Carnegie Institution of Washington, Washington DC 20015","active":true,"usgs":false}],"preferred":false,"id":741046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yogodzinski, Gene","contributorId":193631,"corporation":false,"usgs":false,"family":"Yogodzinski","given":"Gene","email":"","affiliations":[],"preferred":false,"id":741047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stelling, Peter L.","contributorId":84414,"corporation":false,"usgs":true,"family":"Stelling","given":"Peter","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":741048,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larsen, Jessica","contributorId":62092,"corporation":false,"usgs":true,"family":"Larsen","given":"Jessica","affiliations":[],"preferred":false,"id":741049,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Singer, Brad","contributorId":121387,"corporation":false,"usgs":true,"family":"Singer","given":"Brad","affiliations":[],"preferred":false,"id":741050,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jicha, Brian R.","contributorId":44062,"corporation":false,"usgs":true,"family":"Jicha","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":741051,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mandeville, Charlie 0000-0002-8485-3689 cmandeville@usgs.gov","orcid":"https://orcid.org/0000-0002-8485-3689","contributorId":753,"corporation":false,"usgs":true,"family":"Mandeville","given":"Charlie","email":"cmandeville@usgs.gov","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":741052,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nye, Christopher J.","contributorId":55418,"corporation":false,"usgs":true,"family":"Nye","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":741053,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":98887,"text":"ds540 - 2010 - Stream gage descriptions and streamflow statistics for sites in the Tigris River and Euphrates River Basins, Iraq","interactions":[],"lastModifiedDate":"2012-04-16T17:28:12","indexId":"ds540","displayToPublicDate":"2010-11-18T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"540","title":"Stream gage descriptions and streamflow statistics for sites in the Tigris River and Euphrates River Basins, Iraq","docAbstract":"Statistical summaries of streamflow data for all long-term streamflow-gaging stations in the Tigris River and Euphrates River Basins in Iraq are presented in this report. The summaries for each streamflow-gaging station include (1) a station description, (2) a graph showing annual mean discharge for the period of record, (3) a table of extremes and statistics for monthly and annual mean discharge, (4) a graph showing monthly maximum, minimum, and mean discharge, (5) a table of monthly and annual mean discharges for the period of record, (6) a graph showing annual flow duration, (7) a table of monthly and annual flow duration, (8) a table of high-flow frequency data (maximum mean discharge for 3-, 7-, 15-, and 30-day periods for selected exceedance probabilities), and (9) a table of low-flow frequency data (minimum mean discharge for 3-, 7-, 15-, 30-, 60-, 90-, and 183-day periods for selected non-exceedance probabilities). ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds540","collaboration":"Prepared in cooperation with U.S. Agency for International Development","usgsCitation":"Saleh, D.K., 2010, Stream gage descriptions and streamflow statistics for sites in the Tigris River and Euphrates River Basins, Iraq: U.S. Geological Survey Data Series 540, iv, 145 p.; Download for Arabic translation, https://doi.org/10.3133/ds540.","productDescription":"iv, 145 p.; Download for Arabic translation","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":126137,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_540.jpg"},{"id":14305,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/540/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 38,28 ], [ 38,39 ], [ 52,39 ], [ 52,28 ], [ 38,28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a5195","contributors":{"authors":[{"text":"Saleh, Dina K. 0000-0002-1406-9303","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":24737,"corporation":false,"usgs":false,"family":"Saleh","given":"Dina","email":"","middleInitial":"K.","affiliations":[{"id":16706,"text":"California State University, CA","active":true,"usgs":false}],"preferred":false,"id":306836,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70004007,"text":"70004007 - 2010 - Carbon, water, and energy fluxes in a semiarid cold desert grassland during and following multiyear drought","interactions":[],"lastModifiedDate":"2022-11-09T12:25:32.653202","indexId":"70004007","displayToPublicDate":"2010-11-18T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Carbon, water, and energy fluxes in a semiarid cold desert grassland during and following multiyear drought","docAbstract":"The net exchanges of carbon dioxide, water vapor, and energy were examined in a perennial Colorado Plateau grassland for 5 years. The study began within a multiyear drought and continued as the drought ended. The grassland is located near the northern boundary of the influence of the North American monsoon, a major climatic feature bringing summer rain. Following rain, evapotranspiration peaked above 8 mm d<sup>-1</sup> but was usually much smaller (2-4 mm d<sup>-1</sup>). Net productivity of the grassland was low compared to other ecosystems, with peak hourly net CO<sub>2</sub> uptake in the spring of 4 (mu or u)mol m<sup>-2</sup> s<sup>-1</sup> and springtime carbon gain in the range of 42 + or - 11 g C m<sup>-2</sup> (based on fluxes) to 72 + or - 55 g C m<sup>-2</sup> (based on carbon stocks; annual carbon gain was not quantified). Drought decreased gross ecosystem productivity (GEP) and total ecosystem respiration, with a much larger GEP decrease. Monsoon rains led to respiratory pulses, lasting a few days at most, and only rarely resulted in net CO<sub>2</sub> gain, despite the fact that C<sub>4</sub> grasses dominated plant cover. Minor CO<sub>2</sub> uptake was observed in fall following rain. Spring CO<sub>2</sub> uptake was regulated by deep soil moisture, which depended on precipitation in the prior fall and winter. The lack of CO<sub>2</sub> uptake during the monsoon and the dependence of GEP on deep soil moisture are in contrast with arid grasslands of the warm deserts. Cold desert grasslands are most likely to be impacted by future changes in winter and not summer precipitation.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010JG001322","usgsCitation":"Bowling, D.R., Bethers-Marchetti, S., Lunch, C., Grote, E.E., and Belnap, J., 2010, Carbon, water, and energy fluxes in a semiarid cold desert grassland during and following multiyear drought: Journal of Geophysical Research G: Biogeosciences, v. 115, no. G4, https://doi.org/10.1029/2010JG001322.","productDescription":"16 p.","startPage":"G04026","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":475639,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jg001322","text":"Publisher Index Page"},{"id":203846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau","volume":"115","issue":"G4","noUsgsAuthors":false,"publicationDate":"2010-11-18","publicationStatus":"PW","scienceBaseUri":"4f4e49f4e4b07f02db5f0061","contributors":{"authors":[{"text":"Bowling, David R.","contributorId":48395,"corporation":false,"usgs":true,"family":"Bowling","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":350122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bethers-Marchetti, S.","contributorId":96545,"corporation":false,"usgs":true,"family":"Bethers-Marchetti","given":"S.","email":"","affiliations":[],"preferred":false,"id":350124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lunch, C.K.","contributorId":46742,"corporation":false,"usgs":true,"family":"Lunch","given":"C.K.","email":"","affiliations":[],"preferred":false,"id":350121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grote, Edmund E. 0000-0002-9103-9482 ed_grote@usgs.gov","orcid":"https://orcid.org/0000-0002-9103-9482","contributorId":4271,"corporation":false,"usgs":true,"family":"Grote","given":"Edmund","email":"ed_grote@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":350123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":350120,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98885,"text":"fs20103093 - 2010 - Understanding beach health throughout the Great Lakes-Entering a new era of investigations","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"fs20103093","displayToPublicDate":"2010-11-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3093","title":"Understanding beach health throughout the Great Lakes-Entering a new era of investigations","docAbstract":"For over a decade, the U.S. Geological Survey (USGS) has been a leader in the science of beach health. The overall mission of this work is to provide science-based information and methods that will allow beach managers to more accurately make beach closure and advisory decisions, understand the sources and physical processes affecting beach contaminants, and understand how science-based information can be used to mitigate and restore beaches and protect the public. The work consists of four science elements-real-time assessments; pathogens and microbial source tracking; coastal processes; and data analysis, interpretation, and communication - which are described in this fact sheet.\r\n\r\nSome of the key questions for USGS beach research are the following: Are there better ways to inform the public whether they can use a beach without risking their health? How do new rapid analytical methods compare to traditional methods for determining concentrations of fecal-indicator bacteria at beaches? Are pathogens present at beaches and, if so, how do they get to the beach, and what is their source? How do sand movement and wave action on the beach affect fecal-indicator-bacteria and pathogen concentrations in the lake water? What are the best indicators of pathogenic microorganisms? With so many potential sources of fecal contamination at a beach, what methods can be used to distinguish the contributions from humans? What characteristics of beaches contribute most to influencing bacterial indicator and pathogen concentrations in beach sands and groundwater?","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103093","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Understanding beach health throughout the Great Lakes-Entering a new era of investigations: U.S. Geological Survey Fact Sheet 2010-3093, 4 p., https://doi.org/10.3133/fs20103093.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":126108,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3093.jpg"},{"id":14303,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3093/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f5a4","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":535045,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98886,"text":"sir20105220 - 2010 - The principal rare earth elements deposits of the United States: A summary of domestic deposits and a global perspective","interactions":[],"lastModifiedDate":"2022-12-14T22:19:09.986424","indexId":"sir20105220","displayToPublicDate":"2010-11-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5220","title":"The principal rare earth elements deposits of the United States: A summary of domestic deposits and a global perspective","docAbstract":"The rare earth elements (REE) are fifteen elements with atomic numbers 57 through 71, from lanthanum to lutetium ('lanthanides'), plus yttrium (39), which is chemically similar to the lanthanide elements and thus typically included with the rare earth elements. Although industrial demand for these elements is relatively small in tonnage terms, they are essential for a diverse and expanding array of high-technology applications. REE-containing magnets, metal alloys for batteries and light-weight structures, and phosphors are essential for many current and emerging alternative energy technologies, such as electric vehicles, energy-efficient lighting, and wind power. REE are also critical for a number of key defense systems and other advanced materials.\r\n\r\nSection 843 of the National Defense Authorization Act for Fiscal Year 2010, Public Law 111-84, directs the Comptroller General to complete a report on REE materials in the defense supply chain. The Office of Industrial Policy, in collaboration with other U.S. Government agencies, has initiated (in addition to this report) a detailed study of REE. This latter study will assess the Department of Defense's use of REE, as well as the status and security of domestic and global supply chains. That study will also address vulnerabilities in the supply chain and recommend ways to mitigate any potential risks of supply disruption. To help conduct this study, the Office of Industrial Policy asked the U.S. Geological Survey (USGS) to report on domestic REE reserves and resources in a global context. To this end, the enclosed report is the initial USGS contribution to assessing and summarizing the domestic REE resources in a global perspective.\r\n\r\nIn 2009, the Mineral Resources Program of the USGS organized a new project under the title Minerals at Risk and For Emerging Technologies in order to evaluate mineral resource and supply issues of rare metals that are of increasing importance to the national economy. Leaders and members of this project, with the assistance of the USGS National Minerals Information Center, prepared the enclosed USGS report on domestic REE resources. The USGS Mineral Resources Program has investigated domestic and selected foreign REE resources for many decades, and this report summarizes what has been learned from this research. The USGS National Minerals Information Center (formerly Minerals Information Team) has monitored global production, trade, and resources for an equally long period and is the principal source of statistics used in this report.\r\n\r\nThe objective of this study is to provide a nontechnical overview of domestic reserves and resources of REE and possibilities for utilizing those resources. At the present time, the United States obtains its REE raw materials from foreign sources, almost exclusively from China. Import dependence upon a single country raises serious issues of supply security. In a global context, domestic REE resources are modest and of uncertain value; hence, available resources in traditional trading partners (such as Canada and Australia) are of great interest for diversifying sources of supply. This report restates basic geologic facts about REE relevant to assessing security of supply, followed by a review of current United States consumption and imports of REE, current knowledge of domestic resources, and possibilities for future domestic production. Further detail follows in a deposit-by-deposit review of the most significant domestic REE deposits (see index map). Necessary steps to develop domestic resources are discussed in a separate section, leading into a review of current domestic exploration and a discussion of the value of a future national mineral resource assessment of REE. The report also includes an overview of known global REE resources and discusses the reliability of alternative foreign sources of REE.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105220","usgsCitation":"Long, K.R., Van Gosen, B.S., Foley, N.K., and Cordier, D., 2010, The principal rare earth elements deposits of the United States: A summary of domestic deposits and a global perspective: U.S. Geological Survey Scientific Investigations Report 2010-5220, vi, 96 p., https://doi.org/10.3133/sir20105220.","productDescription":"vi, 96 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science 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,{"id":98883,"text":"ds526 - 2010 - Archive of Digital Chirp Sub-bottom profile data collected during USGS cruise 09CCT01 offshore of Sabine Pass and Galveston, Texas, March 2009","interactions":[],"lastModifiedDate":"2012-02-02T00:04:45","indexId":"ds526","displayToPublicDate":"2010-11-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"526","title":"Archive of Digital Chirp Sub-bottom profile data collected during USGS cruise 09CCT01 offshore of Sabine Pass and Galveston, Texas, March 2009","docAbstract":"This Digital Versatile Disc (DVD) publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds526","collaboration":"Funding and (or) support for this study was provided by the USGS Coastal and Marine Geology Program and Texas A&M University. We thank R/V Manta captain Charles Curry of the National Oceanic and Atmospheric Administration (NOAA) for his assistance in data collection. This document was improved by the reviews of Gregory Miller (USGS Woods Hole Coastal and Marine Science Center - Woods Hole, MA) and Julie Bernier (USGS St. Petersburg Coastal and Marine Science Center - St. Petersburg, FL).","usgsCitation":"Forde, A.S., Dadisman, S.V., Flocks, J.G., Dellapenna, T.M., Sanford, J.M., and Wiese, D.S., 2010, Archive of Digital Chirp Sub-bottom profile data collected during USGS cruise 09CCT01 offshore of Sabine Pass and Galveston, Texas, March 2009: U.S. Geological Survey Data Series 526, HTML page of DVD for DS 526; 5 Disks , https://doi.org/10.3133/ds526.","productDescription":"HTML page of DVD for DS 526; 5 Disks ","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2009-03-01","temporalEnd":"2009-03-31","costCenters":[{"id":575,"text":"St. Petersburg Science Center","active":false,"usgs":true}],"links":[{"id":133510,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14301,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/526/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679d95","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":306823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":306825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":306824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dellapenna, Timothy M.","contributorId":103237,"corporation":false,"usgs":true,"family":"Dellapenna","given":"Timothy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":306828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanford, Jordan M.","contributorId":17197,"corporation":false,"usgs":true,"family":"Sanford","given":"Jordan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":306827,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":306826,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98884,"text":"sir20105131 - 2010 - Seasonal and spatial distribution patterns of finfish and selected invertebrates in coastal lagoons of northeastern Florida, 2002-2004","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105131","displayToPublicDate":"2010-11-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5131","title":"Seasonal and spatial distribution patterns of finfish and selected invertebrates in coastal lagoons of northeastern Florida, 2002-2004","docAbstract":"The U.S. Geological Survey conducted a survey of juvenile fisheries resources, in cooperation with the St. Johns River Water Management District and Volusia County, to establish baseline data on spatial and temporal distribution patterns of estuarine fish. The survey was conducted from November 2001 to March 2005 and the baseline data established for the survey in the Northern Coastal Basins were collected from January 2002 to December 2004. The study area included the bar-built estuaries ranging from just north of St. Augustine, Florida, south to Ponce de Leon Inlet. Sampling protocols developed by the Florida Fish and Wildlife Research Institute for their statewide Fisheries Independent Monitoring (FIM) program were replicated to allow for comparability with FIM program results. Samples were collected monthly from randomly selected stations based on a geographically stratified design. Finfish and selected invertebrates were collected using a 21.3-meter center-bag seine with a 3-millimeter mesh, and a 6.1-meter otter trawl with a 3-millimeter mesh liner. Total estimated fish and selected invertebrate densities were similar to estimates from FIM projects in adjacent areas and were characterized by similar dominant species. Preliminary analysis indicates that observed species distribution patterns were mainly a function of proximity to the three inlets within the study area. The two regions encompassing the northern Tolomato River and the Tomoka River and Basin are farthest from inlets and appear to function as oligohaline nursery areas. Those two areas had the greatest estimated densities of shellfish and juvenile sciaenid (drum) species associated with oligohaline waters (for example, Micropogonias undulatus, Sciaenops ocellatus and Cynoscion nebulosus). Samples near inlets, and between the two northern inlets, had greater estimated densities of species limited to euhaline waters, including juvenile clupeids collected at relatively high abundance and species of marine strays collected in low abundance. Based on correspondence analysis, seasonal variation dominated the ordination of seine samples and spatial variation dominated the ordination of trawl samples; this was due to differences in the number and timing of taxa found near inlets versus oligohaline regions. The absence of seagrass habitat in the Northern Coastal Basins is reflected by the absence of a seagrass-fish assemblage. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105131","collaboration":"Prepared in cooperation with\r\nSt. Johns River Water Management District and\r\nVolusia County ","usgsCitation":"Turtora, M., and Schotman, E.M., 2010, Seasonal and spatial distribution patterns of finfish and selected invertebrates in coastal lagoons of northeastern Florida, 2002-2004: U.S. Geological Survey Scientific Investigations Report 2010-5131, vi, 34 p.; Appendices, https://doi.org/10.3133/sir20105131.","productDescription":"vi, 34 p.; Appendices","additionalOnlineFiles":"N","temporalStart":"2001-11-01","temporalEnd":"2005-03-31","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":126064,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5131.jpg"},{"id":14302,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5131/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82,28.5 ], [ -82,30.5 ], [ -80.25,30.5 ], [ -80.25,28.5 ], [ -82,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc41d","contributors":{"authors":[{"text":"Turtora, Michael mturtora@usgs.gov","contributorId":4260,"corporation":false,"usgs":true,"family":"Turtora","given":"Michael","email":"mturtora@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":306829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schotman, Elizabeth M.","contributorId":98693,"corporation":false,"usgs":true,"family":"Schotman","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":306830,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98879,"text":"ofr20101190 - 2010 - Floods of May 30 to June 15, 2008, in the Iowa River and Cedar River Basins, eastern Iowa","interactions":[],"lastModifiedDate":"2021-11-22T20:48:46.379912","indexId":"ofr20101190","displayToPublicDate":"2010-11-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1190","title":"Floods of May 30 to June 15, 2008, in the Iowa River and Cedar River Basins, eastern Iowa","docAbstract":"As a result of prolonged and intense periods of rainfall in late May and early June, 2008, along with heavier than normal snowpack the previous winter, record flooding occurred in Iowa in the Iowa River and Cedar River Basins. The storms were part of an exceptionally wet period from May 29 through June 12, when an Iowa statewide average of 9.03 inches of rain fell; the normal statewide average for the same period is 2.45 inches. From May 29 to June 13, the 16-day rainfall totals recorded at rain gages in Iowa Falls and Clutier were 14.00 and 13.83 inches, respectively. Within the Iowa River Basin, peak discharges of 51,000 cubic feet per second (flood-probability estimate of 0.2 to 1 percent) at the 05453100 Iowa River at Marengo, Iowa streamflow-gaging station (streamgage) on June 12, and of 39,900 cubic feet per second (flood-probability estimate of 0.2 to 1 percent) at the 05453520 Iowa River below Coralville Dam near Coralville, Iowa streamgage on June 15 are the largest floods on record for those sites. A peak discharge of 41,100 cubic feet per second (flood-probability estimate of 0.2 to 1 percent) on June 15 at the 05454500 Iowa River at Iowa City, Iowa streamgage is the fourth highest on record, but is the largest flood since regulation by the Coralville Dam began in 1958.\r\n\r\nWithin the Cedar River Basin, the May 30 to June 15, 2008, flood is the largest on record at all six streamgages in Iowa located on the mainstem of the Cedar River and at five streamgages located on the major tributaries. Flood-probability estimates for 10 of these 11 streamgages are less than 1 percent. Peak discharges of 112,000 cubic feet per second (flood-probability estimate of 0.2 to 1 percent) at the 05464000 Cedar River at Waterloo, Iowa streamgage on June 11 and of 140,000 cubic feet per second (flood-probability estimate of less than 0.2 percent) at the 05464500 Cedar River at Cedar Rapids, Iowa streamgage on June 13 are the largest floods on record for those sites. Downstream from the confluence of the Iowa and Cedar Rivers, the peak discharge of 188,000 cubic feet per second (flood-probability estimate of less than 0.2 percent) at the 05465500 Iowa River at Wapello, Iowa streamgage on June 14, 2008, is the largest flood on record in the Iowa River and Cedar River Basins since 1903.\r\n\r\nHigh-water marks were measured at 88 locations along the Iowa River between State Highway 99 near Oakville and U.S. Highway 69 in Belmond, a distance of 319 river miles. High-water marks were measured at 127 locations along the Cedar River between Fredonia near the mouth (confluence with the Iowa River) and Riverview Drive north of Charles City, a distance of 236 river miles. The high-water marks were used to develop flood profiles for the Iowa and Cedar River.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101190","usgsCitation":"Linhart, M.S., and Eash, D.A., 2010, Floods of May 30 to June 15, 2008, in the Iowa River and Cedar River Basins, eastern Iowa: U.S. Geological Survey Open-File Report 2010-1190, vi, 99 p., https://doi.org/10.3133/ofr20101190.","productDescription":"vi, 99 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-05-30","temporalEnd":"2008-06-15","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":126063,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1190.jpg"},{"id":392010,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94596.htm"},{"id":14297,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1190/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Iowa","otherGeospatial":"Iowa River and Cedar River Basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.8167,\n              41.0125\n            ],\n            [\n              -91.7069,\n              41.0125\n            ],\n            [\n              -91.7069,\n              43.9333\n            ],\n            [\n              -93.8167,\n              43.9333\n            ],\n            [\n              -93.8167,\n              41.0125\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b26e4b07f02db6af9a0","contributors":{"authors":[{"text":"Linhart, Mike S.","contributorId":99945,"corporation":false,"usgs":true,"family":"Linhart","given":"Mike","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":306817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eash, David A. 0000-0002-2749-8959 daeash@usgs.gov","orcid":"https://orcid.org/0000-0002-2749-8959","contributorId":1887,"corporation":false,"usgs":true,"family":"Eash","given":"David","email":"daeash@usgs.gov","middleInitial":"A.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98881,"text":"gip116 - 2010 - Mount St. Helens lidar","interactions":[],"lastModifiedDate":"2012-02-02T00:04:46","indexId":"gip116","displayToPublicDate":"2010-11-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"116","title":"Mount St. Helens lidar","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/gip116","usgsCitation":"Queija, V.R., 2010, Mount St. Helens lidar: U.S. Geological Survey General Information Product 116, Poster of Mount St. Helens lidar; 17 inches x 22 inches, https://doi.org/10.3133/gip116.","productDescription":"Poster of Mount St. Helens lidar; 17 inches x 22 inches","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":126066,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_116.jpg"},{"id":14299,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/116/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b47be","contributors":{"authors":[{"text":"Queija, Vivian R. vqueija@usgs.gov","contributorId":56612,"corporation":false,"usgs":true,"family":"Queija","given":"Vivian","email":"vqueija@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":306821,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98880,"text":"sir20105208 - 2010 - Development of a channel classification to evaluate potential for cottonwood restoration, lower segments of the Middle Missouri River, South Dakota and Nebraska","interactions":[],"lastModifiedDate":"2016-11-10T15:32:11","indexId":"sir20105208","displayToPublicDate":"2010-11-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5208","title":"Development of a channel classification to evaluate potential for cottonwood restoration, lower segments of the Middle Missouri River, South Dakota and Nebraska","docAbstract":"<p>This report documents development of a spatially explicit river and flood-plain classification to evaluate potential for cottonwood restoration along the Sharpe and Fort Randall segments of the Middle Missouri River. This project involved evaluating existing topographic, water-surface elevation, and soils data to determine if they were sufficient to create a classification similar to the Land Capability Potential Index (LCPI) developed by Jacobson and others (U.S. Geological Survey Scientific Investigations Report 2007–5256) and developing a geomorphically based classification to apply to evaluating restoration potential.</p><p>Existing topographic, water-surface elevation, and soils data for the Middle Missouri River were not sufficient to replicate the LCPI. The 1/3-arc-second National Elevation Dataset delineated most of the topographic complexity and produced cumulative frequency distributions similar to a high-resolution 5-meter topographic dataset developed for the Lower Missouri River. However, lack of bathymetry in the National Elevation Dataset produces a potentially critical bias in evaluation of frequently flooded surfaces close to the river. High-resolution soils data alone were insufficient to replace the information content of the LCPI. In test reaches in the Lower Missouri River, soil drainage classes from the Soil Survey Geographic Database database correctly classified 0.8–98.9 percent of the flood-plain area at or below the 5-year return interval flood stage depending on state of channel incision; on average for river miles 423–811, soil drainage class correctly classified only 30.2 percent of the flood-plain area at or below the 5-year return interval flood stage. Lack of congruence between soil characteristics and present-day hydrology results from relatively rapid incision and aggradation of segments of the Missouri River resulting from impoundments and engineering. The most sparsely available data in the Middle Missouri River were water-surface elevations. Whereas hydraulically modeled water-surface elevations were available at 1.6-kilometer intervals in the Lower Missouri River, water-surface elevations in the Middle Missouri River had to be interpolated between streamflow-gaging stations spaced 3–116 kilometers. Lack of high-resolution water-surface elevation data precludes development of LCPI-like classification maps.</p><p>An hierarchical river classification framework is proposed to provide structure for a multiscale river classification. The segment-scale classification presented in this report is deductive and based on presumed effects of dams, significant tributaries, and geological (and engineered) channel constraints. An inductive reach-scale classification, nested within the segment scale, is based on multivariate statistical clustering of geomorphic data collected at 500-meter intervals along the river. Cluster-based classifications delineate reaches of the river with similar channel and flood-plain geomorphology, and presumably, similar geomorphic and hydrologic processes. The dominant variables in the clustering process were channel width (Fort Randall) and valley width (Sharpe), followed by braiding index (both segments).</p><p>Clusters with multithread and highly sinuous channels are likely to be associated with dynamic channel migration and deposition of fresh, bare sediment conducive to natural cottonwood germination. However, restoration potential within these reaches is likely to be mitigated by interaction of cottonwood life stages with the highly altered flow regime.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105208","collaboration":"Prepared in cooperation with the Missouri River Recovery-Integrated Science Program U.S. Army Corps of Engineers, Yankton, South Dakota","usgsCitation":"Jacobson, R.B., Elliott, C.M., and Huhmann, B.L., 2010, Development of a channel classification to evaluate potential for cottonwood restoration, lower segments of the Middle Missouri River, South Dakota and Nebraska: U.S. Geological Survey Scientific Investigations Report 2010-5208, vi, 38 p., https://doi.org/10.3133/sir20105208.","productDescription":"vi, 38 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":126065,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5208.jpg"},{"id":330951,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5208/pdf/sir2010_5208.pdf","size":"7.6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":14298,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5208/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.16666666666667,43.833333333333336 ], [ -100.16666666666667,44.5 ], [ -99.41666666666667,44.5 ], [ -99.41666666666667,43.833333333333336 ], [ -100.16666666666667,43.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db6609cc","contributors":{"authors":[{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":306818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":306819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huhmann, Brittany L.","contributorId":31725,"corporation":false,"usgs":true,"family":"Huhmann","given":"Brittany","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":306820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98882,"text":"tm1D4 - 2010 - Guidelines for the use of the semipermeable membrane device (SPMD) and the polar organic chemical integrative sampler (POCIS) in environmental monitoring studies","interactions":[],"lastModifiedDate":"2019-08-02T10:10:01","indexId":"tm1D4","displayToPublicDate":"2010-11-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1-D4","title":"Guidelines for the use of the semipermeable membrane device (SPMD) and the polar organic chemical integrative sampler (POCIS) in environmental monitoring studies","docAbstract":"The success of an environmental monitoring study using passive samplers, or any sampling method, begins in the office or laboratory. Regardless of the specific methods used, the general steps include the formulation of a sampling plan, training of personnel, performing the field (sampling) work, processing the collected samples to recover chemicals of interest, analysis of the enriched extracts, and interpretation of the data. Each of these areas will be discussed in the following sections with emphasis on specific considerations with the use of passive samplers.\r\n\r\nWater is an extremely heterogeneous matrix both spatially and temporally (Keith, 1991). The mixing and distribution of dissolved organic chemicals in a water body are controlled by the hydrodynamics of the water, the sorption partition coefficients of the chemicals, and the amount of organic matter (suspended sediments, colloids, and dissolved organic carbon) present. In lakes and oceans, stratification because of changes in temperature, water movement, and water composition can occur resulting in dramatic changes in chemical concentrations with depth (Keith, 1991). Additional complications related to episodic events, such as surface runoff, spills, and other point source contamination, can result in isolated or short-lived pulses of contaminants in the water.\r\n\r\nThe application of passive sampling technologies for the monitoring of legacy and emerging organic chemicals in the environment is becoming widely accepted worldwide. The primary use of passive sampling methods for environmental studies is in the area of surface-water monitoring; however, these techniques have been applied to air and groundwater monitoring studies. Although these samplers have no mechanical or moving parts, electrical or fuel needs which require regular monitoring, there are still considerations that need to be understood in order to have a successful study.\r\n\r\nTwo of the most commonly used passive samplers for organic contaminants are the semipermeable membrane device (SPMD) and the polar organic chemical integrative sampler (POCIS). The tips given in this document focus on these two samplers but are applicable to most types of passive sampling devices. The information in this guide is heavily weighted towards the sampling of water; however, information specific to the use of SPMDs for air sampling will also be covered.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section D: Water quality in Book 1: <i>Collection of water data by direct measurement</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm1D4","usgsCitation":"Alvarez, D.A., 2010, Guidelines for the use of the semipermeable membrane device (SPMD) and the polar organic chemical integrative sampler (POCIS) in environmental monitoring studies: U.S. Geological Survey Techniques and Methods 1-D4, v, 28 p., https://doi.org/10.3133/tm1D4.","productDescription":"v, 28 p.","numberOfPages":"38","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":126768,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_1_d4.jpg"},{"id":14300,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm1d4/","linkFileType":{"id":5,"text":"html"}},{"id":341727,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm1d4/pdf/tm1d4.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}}],"publicComments":"This report is Chapter 4 of Section D: Water quality in Book 1: <i>Collection of water data by direct measurement</i>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a29d","contributors":{"authors":[{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":306822,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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