{"pageNumber":"895","pageRowStart":"22350","pageSize":"25","recordCount":46734,"records":[{"id":5200305,"text":"5200305 - 2006 - Final report (2002-2004):  Benthic macroinvertebrate communities of reconstructed freshwater tidal wetlands in the Anacostia River, Washington, D.C","interactions":[],"lastModifiedDate":"2012-02-02T00:15:15","indexId":"5200305","displayToPublicDate":"2009-06-08T16:49:39","publicationYear":"2006","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Final report (2002-2004):  Benthic macroinvertebrate communities of reconstructed freshwater tidal wetlands in the Anacostia River, Washington, D.C","docAbstract":"Considerable work has been conducted on the benthic communities of inland aquatic systems, but there remains a paucity of effort on freshwater tidal wetlands.  This study characterized the benthic macroinvertebrate communities of recently reconstructed urban freshwater tidal wetlands along the Anacostia River in Washington, D.C.  The focus of the study was on the two main areas of Kingman Marsh, which were reconstructed by the U.S. Army Corps of Engineers in 2000 using Anacostia dredge material.  Populations from this 'new' marsh were compared to those of similarly reconstructed Kenilworth Marsh (1993) just one half mile upstream, the relic reference Dueling Creek Marsh in the upper Anacostia estuary and the outside reference Patuxent freshwater tidal marsh in an adjacent watershed.  Benthic macro invertebrate organisms were collected using selected techniques for evaluation including the Ekman bottom grab sampler, sediment corer, D-net and Hester-Dendy sampler.  Samples were collected at least seasonally from tidal channels, tidal mudflats, three vegetation/sediment zones (low, middle and high marsh), and pools over a 3-year period (late 2001-2004).  The macroinvertebrate communities present at the marsh sites proved to be good indicators of disturbance and stress (Kingman Marsh), pollution, urban vs. rural location (Kenilworth and Patuxent), and similarities between reconstructed and remnant wetlands (Kenilworth and Dueling Creek).  Macroinvertebrate density was significantly greater at Kingman Marsh than Kenilworth Marsh due to more numerous chironomids and oligochaetes.  This may reflect an increase in unvegetated sediments at Kingman (even at elevations above natural mudflat) due to grazing pressure from over-abundant resident Canada geese.  Unvegetated sediments yielded greater macroinvertebrate abundance but lower richness than vegetated marsh sites.  Data collected from this study provides information on the extent that benthic macroinvertebrate communities can serve as indicators of the relative success of freshwater tidal marsh reconstruction.","language":"English","publisher":"[USGS Patuxent Wildlife Research Center]","publisherLocation":"[Laurel, Maryland]","collaboration":"  PDF on file: 6591_Brittingham.pdf","usgsCitation":"Brittingham, K., and Hammerschlag, R., 2006, Final report (2002-2004):  Benthic macroinvertebrate communities of reconstructed freshwater tidal wetlands in the Anacostia River, Washington, D.C, 50.","productDescription":"50","numberOfPages":"50","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":91976,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.pwrc.usgs.gov/resshow/hammerschlag/Final%20Benthic%20Report_0706.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":201426,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db6883d9","contributors":{"authors":[{"text":"Brittingham, K.D.","contributorId":75663,"corporation":false,"usgs":true,"family":"Brittingham","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":327478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammerschlag, R.S.","contributorId":78050,"corporation":false,"usgs":true,"family":"Hammerschlag","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":327479,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70184415,"text":"70184415 - 2006 - Hurricanes 2004: An overview of their characteristics and coastal change","interactions":[],"lastModifiedDate":"2017-03-08T13:57:46","indexId":"70184415","displayToPublicDate":"2008-12-31T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Hurricanes 2004: An overview of their characteristics and coastal change","docAbstract":"<p><span>Four hurricanes battered the state of Florida during 2004, the most affecting any state since Texas endured four in 1884. Each of the storms changed the coast differently. Average shoreline change within the right front quadrant of hurricane force winds varied from 1 m of shoreline advance to 20 m of retreat, whereas average sand volume change varied from 11 to 66 m</span><sup>3</sup><span> m</span><sup>−1</sup><span> of net loss (erosion). These changes did not scale simply with hurricane intensity as described by the Saffir-Simpson Hurricane Scale. The strongest storm of the season, category 4 Hurricane Charley, had the least shoreline retreat. This was likely because of other factors like the storm's rapid forward speed and small size that generated a lower storm surge than expected. Two of the storms, Hurricanes Frances and Jeanne, affected nearly the same area on the Florida east coast just 3 wk apart. The first storm, Frances, although weaker than the second, caused greater shoreline retreat and sand volume erosion. As a consequence, Hurricane Frances may have stripped away protective beach and exposed dunes to direct wave attack during Jeanne, although there was significant dune erosion during both storms. The maximum shoreline change for all four hurricanes occurred during Ivan on the coasts of eastern Alabama and the Florida Panhandle. The net volume change across a barrier island within the Ivan impact zone approached zero because of massive overwash that approximately balanced erosion of the beach. These data from the 2004 hurricane season will prove useful in developing new ways to scale and predict coastal-change effects during hurricanes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/BF02798647","usgsCitation":"Sallenger, A., Stockdon, H., Fauver, L.A., Hansen, M., Thompson, D., Wright, C., and Lillycrop, J., 2006, Hurricanes 2004: An overview of their characteristics and coastal change: Estuaries and Coasts, v. 29, no. 6, p. 880-888, https://doi.org/10.1007/BF02798647.","productDescription":"9 p.","startPage":"880","endPage":"888","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":337105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, Louisiana, Mississippi, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.1533203125,\n              23.443088931121785\n            ],\n            [\n              -77.2998046875,\n              23.443088931121785\n            ],\n            [\n              -77.2998046875,\n              34.63320791137959\n            ],\n            [\n              -92.1533203125,\n              34.63320791137959\n            ],\n            [\n              -92.1533203125,\n              23.443088931121785\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c1263de4b014cc3a3d34aa","contributors":{"authors":[{"text":"Sallenger, Asbury H. Jr.","contributorId":27458,"corporation":false,"usgs":true,"family":"Sallenger","given":"Asbury H.","suffix":"Jr.","affiliations":[],"preferred":false,"id":681373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockdon, Hilary","contributorId":100090,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","affiliations":[],"preferred":false,"id":681374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fauver, Laura A.","contributorId":105384,"corporation":false,"usgs":true,"family":"Fauver","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":681375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Mark","contributorId":81893,"corporation":false,"usgs":true,"family":"Hansen","given":"Mark","affiliations":[],"preferred":false,"id":681376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, David","contributorId":68216,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"","affiliations":[],"preferred":false,"id":681377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, C. Wayne","contributorId":52097,"corporation":false,"usgs":true,"family":"Wright","given":"C. Wayne","affiliations":[],"preferred":false,"id":681378,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lillycrop, Jeff","contributorId":62027,"corporation":false,"usgs":true,"family":"Lillycrop","given":"Jeff","affiliations":[],"preferred":false,"id":681379,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70242797,"text":"70242797 - 2006 - The utility of gravity and magnetic methods for understanding subsurface hydrogeology in large alluvial watersheds: Examples from urbanized basins of the Western United States","interactions":[],"lastModifiedDate":"2023-06-22T16:35:12.725191","indexId":"70242797","displayToPublicDate":"2008-09-30T10:53:19","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The utility of gravity and magnetic methods for understanding subsurface hydrogeology in large alluvial watersheds: Examples from urbanized basins of the Western United States","docAbstract":"<p><span>Population continues to grow rapidly within the large alluvial watersheds associated with structural basins of the Basin and Range Province and the Rio Grande rift of the western United States. Increasing demands on ground‐water resources in these basins, combined with water‐rights disputes, have amplified the need for improved understanding of subsurface hydrogeology. Gravity and magnetic methods provide cost‐effective information critical to the understanding of the subsurface geology that controls hydrology at watershed scales. Gravity models are used to estimate the variations in the overall thickness of basin‐fill aquifers and to define major subbasin boundaries that partition flow systems. High‐resolution aeromagnetic surveys can be used to map the distribution of volcanic and other crystalline rocks in the shallow subsurface that impede flow. In certain geologic settings, the aeromagnetic data can be used to infer the base of basin aquifers or reveal buried, shallow paleotopography. In addition, the utility of high‐resolution aeromagnetic data to locate partially or wholly concealed faults within basin sediments is a non‐conventional application that has gained prominence in recent years. Examples of these uses of gravity and magnetic methods come from studies of basins within the Albuquerque‐Santa Fe, NM, urban corridor, the Virgin Valley in the tristate area of NV, AZ, and UT, the upper Verde River watershed near Prescott, AZ, and the San Luis Valley surrounding Alamosa, CO.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/1.2923736","usgsCitation":"Grauch, V.J., and Langenheim, V., 2006, The utility of gravity and magnetic methods for understanding subsurface hydrogeology in large alluvial watersheds: Examples from urbanized basins of the Western United States, <i>in</i> Symposium on the application of geophysics to engineering and environmental problems proceedings, p. 938-951, https://doi.org/10.4133/1.2923736.","productDescription":"14 p.","startPage":"938","endPage":"951","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":415925,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":869804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, Victoria 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":221236,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":869805,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70242733,"text":"70242733 - 2006 - Resistivity imaging in eastern Nevada Using the audiomagnetotelluric method for hydrogeologic framework studies","interactions":[],"lastModifiedDate":"2023-04-14T15:16:36.932057","indexId":"70242733","displayToPublicDate":"2008-09-30T09:58:33","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Resistivity imaging in eastern Nevada Using the audiomagnetotelluric method for hydrogeologic framework studies","docAbstract":"<p><span>Inversion of audiomagnetotelluric (AMT) sounding data collected in eastern Nevada shows significant structure within the upper kilometer of the subsurface that defines the geologic framework from which hydrologic models will be developed. We collected AMT data along two profiles in Spring and Cave valleys in 2004–2005, using the Geometrics StrataGem EH4 system, a four‐channel, natural and controlled‐source tensor system recording in the range of 10–92,000 Hz. Profiles were 12 and 3 km in length with station spacing of 200–400 m. Two‐dimensional inverse models show detailed structure within the alluvial basin including clear transitions between unsaturated and saturated alluvium/volcanic rocks, highly‐resistive (&gt;1000 ohm‐m) carbonate rocks, and the locations of range‐front and intra‐basin faults. In addition, our results define the shape of and the depth to the basement surface, which correlates well with depth to basement estimates derived from the inversion of gravity data.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2006","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Environmental and Engineering Geophysical Society","doi":"10.4133/1.2923711","usgsCitation":"McPhee, D., Pellerin, L., Churchel, B.A., Tilden, J.E., and Dixon, G.L., 2006, Resistivity imaging in eastern Nevada Using the audiomagnetotelluric method for hydrogeologic framework studies, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2006, p. 712-718, https://doi.org/10.4133/1.2923711.","productDescription":"7 p.","startPage":"712","endPage":"718","costCenters":[{"id":64806,"text":"National Cooperative Geologic Mapping","active":true,"usgs":true}],"links":[{"id":477292,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.521.7222","text":"External Repository"},{"id":415780,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":869561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Louise","contributorId":20824,"corporation":false,"usgs":true,"family":"Pellerin","given":"Louise","email":"","affiliations":[],"preferred":false,"id":869562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Churchel, B. A.","contributorId":151076,"corporation":false,"usgs":false,"family":"Churchel","given":"B.","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":869563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tilden, Janet E. 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":20423,"corporation":false,"usgs":true,"family":"Tilden","given":"Janet","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":869564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dixon, Gary L.","contributorId":23571,"corporation":false,"usgs":true,"family":"Dixon","given":"Gary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":869565,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242732,"text":"70242732 - 2006 - LIDAR & SASW technologies for geotechnical earthquake engineering","interactions":[],"lastModifiedDate":"2023-04-14T14:56:32.54226","indexId":"70242732","displayToPublicDate":"2008-09-30T09:52:27","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"LIDAR & SASW technologies for geotechnical earthquake engineering","docAbstract":"<p><span>Geotechnical engineering methods are validated through comparison of field‐data of surface deformations and sub‐surface state properties. Recent advances in non‐invasive surface imaging and sub‐surface stiffness characterization allow us to rapidly and inexpensively map these spatial and physical properties in two and three dimensions. In this paper, we discuss new technologies used at the United States Geological Survey (USGS), ground‐based LIDAR (Light Detection And Ranging) used to create ultra high‐resolution three‐dimensional digital terrain models, and surface wave methods used to characterize soil stiffness properties. The power of LIDAR technology in earthquake engineering is its ability to rapidly capture the extremely high detail of failure morphologies, to view them in orientations not previously possible, and to permanently archive them for the engineering research community. The power of surface wave methods, like Spectral Analysis of Surface Waves (SASW), is their ability to non‐invasively and rapidly characterize the stiffness of the ground, to be relatively lightweight and efficient in deployment; and to accurately profile difficult materials such as gravely deposits and stiff soils where conventional methods are not practical. Three active‐source SASW systems used by the USGS are described here, a single‐source harmonic wave vibration system; a large parallel‐array harmonic wave source system; and a seafloor harmonic wave source system. LIDAR and SASW methods allow researchers to directly relate detailed surface damage with the shear wave velocity properties of the ground. LIDAR imagery and movies, and SASW datasets can be viewed at http://walrus.wr.usgs.gov/geotech.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems 2006","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Environmental and Engineering Geophysical Society","doi":"10.4133/1.2923583","usgsCitation":"Kayen, R., and Collins, B.D., 2006, LIDAR & SASW technologies for geotechnical earthquake engineering, <i>in</i> Symposium on the application of geophysics to engineering and environmental problems 2006, p. 1259-1269, https://doi.org/10.4133/1.2923583.","productDescription":"11 p.","startPage":"1259","endPage":"1269","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":415779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Kayen, Robert 0000-0002-0356-072X","orcid":"https://orcid.org/0000-0002-0356-072X","contributorId":219065,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":869559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":869560,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":81295,"text":"ofr20051082B - 2006 - Ground-water levels in Huron County, Michigan, 2004-05","interactions":[{"subject":{"id":79523,"text":"ofr20051082 - 2006 - Ground-Water Levels in Huron County, Michigan, 2004-05","indexId":"ofr20051082","publicationYear":"2006","noYear":false,"title":"Ground-Water Levels in Huron County, Michigan, 2004-05"},"predicate":"SUPERSEDED_BY","object":{"id":81295,"text":"ofr20051082B - 2006 - Ground-water levels in Huron County, Michigan, 2004-05","indexId":"ofr20051082B","publicationYear":"2006","noYear":false,"chapter":"B","title":"Ground-water levels in Huron County, Michigan, 2004-05"},"id":1}],"lastModifiedDate":"2023-11-16T22:24:58.431265","indexId":"ofr20051082B","displayToPublicDate":"2008-05-20T00:00:00","publicationYear":"2006","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":"2005-1082","chapter":"B","title":"Ground-water levels in Huron County, Michigan, 2004-05","docAbstract":"In 1990, the U.S. Geological Survey (USGS) completed a study of the hydrogeology of Huron County, Michigan (Sweat, 1991). In 1993, Huron County and the USGS entered into a continuing agreement to measure water levels at selected wells throughout Huron County. As part of the agreement, USGS has operated four continuous water-level recorders, installed from 1988 to 1991 on wells in Bingham, Fairhaven, Grant, and Lake Townships (fig. 1) and summarized the data collected in an annual or bi-annual report. The agreement was altered in 2003, and beginning January 1, 2004, only the wells in Fairhaven and Lake Townships retained continuous waterlevel recorders, while the wells in Grant and Bingham Townships reverted primarily to periodic or quarterly measurement status. USGS also has provided training for County or Huron Conservation District personnel to measure the water level, on a quarterly basis, in 25 wells. USGS personnel regularly accompany County or Huron Conservation District personnel to provide a quality assurance/quality control check of all measurements being made. Water-level data collected from the 25 periodically or quarterly-measured wells is summarized in an annual or bi-annual report. In 1998, the USGS also completed a temporal and spatial analysis of the monitoring well network in Huron County (Holtschlag and Sweat, 1998). \r\n\r\n \r\n\r\nThe altitude of Lake Huron and precipitation are good indicators of general climatic conditions and, therefore, provide an environmental context for ground-water levels in Huron County. Figure 2 shows the mean-monthly water-level altitude of Lake Huron, averaged from measurements made by the U.S. Army Corps of Engineers at sites near Essexville or Harbor Beach, or both (National Oceanic and Atmospheric Administration, 2003-05), and monthly precipitation measured in Bad Axe (National Oceanic and Atmospheric Administration, 2003-05). In March 2003, a new low-water level for the period from 1991 through 2005 was measured in Lake Huron. There was almost no net change in the water level of Lake Huron from January 2004 through December 2005. In 2004, annual precipitation measured in Port Hope was about 3.7 inches above normal, but precipitation measured in Bad Axe was about 1.4 inches below normal. About 14.5 inches of precipitation was measured in Bad Axe during the 2004 summer growing season (May through August), which is about the same as was measured in Port Hope during the same period. Provisional precipitation totals for 2005 were 30.7 inches for January through November in Port Hope, and about 31.7 inches for the year in Bad Axe. About 10.6 inches of precipitation was measured in Bad Axe during the 2005 summer growing season, which is about 0.2 inches more than was recorded at Port Hope during the same period. \r\n\r\n \r\n\r\nTwo wells equipped with continuous-data recorders are completed in the Saginaw and Marshall aquifers in Fairhaven and Lake Townships, respectively. From January 2004 through December 2005, the net rise in the water level in the Fairhaven Township well was 0.71 ft, and the net rise in the Lake Township well was 0.98 ft. The Fairhaven Township well is drilled adjacent to Saginaw Bay (Lake Huron), and, as previously noted, there was almost no net change in the water level in Saginaw Bay over the same period. Hydrographs showing water levels are presented for the two wells equipped with continuous-data recorders. Continuous-data recorders were discontinued in the Grant and Bingham Township wells at the end of 2003 due to budget constraints. The decision of which two wells to discontinue was based on an analysis of the intrinsic value to Huron County of data from each well. The Grant Township well was selected for periodic or quarterly measurement at that time because it is completed in the glacial aquifer, which is little used for drinking water purposes or absent in much of Huron County. The Bingham Township well, which is completed in the Marshall aquifer, was selected for","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20051082B","collaboration":"Prepared in cooperation with Huron County, Michigan","usgsCitation":"Weaver, T.L., Crowley, S.L., and Blumer, S.P., 2006, Ground-water levels in Huron County, Michigan, 2004-05: U.S. Geological Survey Open-File Report 2005-1082, iv, 16 p., https://doi.org/10.3133/ofr20051082B.","productDescription":"iv, 16 p.","temporalStart":"2004-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":422662,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78802.htm","linkFileType":{"id":5,"text":"html"}},{"id":11337,"rank":2,"type":{"id":15,"text":"Index 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,{"id":81279,"text":"ofr20061203 - 2006 - Reconnaissance borehole geophysical, geological, and hydrological data from the proposed hydrodynamic compartments of the Culpeper Basin in Loudoun, Prince William, Culpeper, Orange, and Fairfax Counties, Virginia","interactions":[],"lastModifiedDate":"2022-06-09T21:34:19.437655","indexId":"ofr20061203","displayToPublicDate":"2008-05-18T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1203","title":"Reconnaissance borehole geophysical, geological, and hydrological data from the proposed hydrodynamic compartments of the Culpeper Basin in Loudoun, Prince William, Culpeper, Orange, and Fairfax Counties, Virginia","docAbstract":"The Culpeper basin is part of a much larger system of ancient depressions or troughs, that lie inboard of the Atlantic Coastal Plain, and largely within the Applachian Piedmont Geologic Province of eastern North America, and the transition region with the neighboring Blue Ridge Geologic Province. This basin system formed during an abortive attempt to make a great ocean basin during the Late Triassic and Early Jurassic, and the eroded remnants of the basins record major episodes of sedimentation, igneous intrusion and eruption, and pervasive contact metamorphism. Altogether, some twenty nine basins formed between what is now Nova Scotia and Georgia. Many of these basins are discontinuous along their strike, and have therefore recorded isolated environments for fluvial and lacustrine sedimentation. \r\n\r\nSeveral basins (including the Culpeper, Gettysburg, and Newark basins) are fault-bounded on the west, and Mesozoic crustal stretching has produced assymetrical patterns of basin subsidence resulting in a progressive basin deepening to the west, and a virtual onlap relationship with the pre-basin Proterozoic rocks to the east. A result of such a pattern of basin deepening is the development of sequences of sandstones and siltstones that systemmatically increase in dip towards the accomodating western border faults. A second major structural theme in several of the major Mesozoic basins (including the Culpeper) concerns the geometry of igneous intrusion, as discussed below. Froelich (1982, 1985) and Lee and Froelich (1989) discuss the general geology of the Culpeper basin, and Smoot (1989) discusses the sedimentation environments and sedimentary facies of the Mesozoic with respect to fluvial and shallow lacustrine deposition in the Culpeper basin. Ryan and others, 2007a, b, discuss the role of diabase-induced compartmentalization in the Culpeper basin (and other Mesozoic basins), and illustrate (using alteration mineral suites within the diabase and adjacent hornfels, among other evidence) how this process has played a role in organizing the paleo- and contemporary-flow of crustal fluids at local and regional scales. Within this report, the Newark Supergroup nomenclature of Weems and Olsen (1997) is adopted.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061203","isbn":"9781411320314","usgsCitation":"Ryan, M.P., Pierce, H., Johnson, C.D., Sutphin, D., Daniels, D.L., Smoot, J.P., Costain, J.K., Coruh, C., and Harlow, G., 2006, Reconnaissance borehole geophysical, geological, and hydrological data from the proposed hydrodynamic compartments of the Culpeper Basin in Loudoun, Prince William, Culpeper, Orange, and Fairfax Counties, Virginia (Version 1.0): U.S. Geological Survey Open-File Report 2006-1203, Report: vi, 43 p.; ReadMe; Data Files, https://doi.org/10.3133/ofr20061203.","productDescription":"Report: vi, 43 p.; ReadMe; Data Files","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - 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One objective of this research is to create techniques to survey coral reefs for the purposes of habitat mapping, ecological monitoring, change detection, ad event assessment (for example: bleaching, hurricanes, disease outbreaks). As part of this project, data from an innovative instrument under development at the NASA Wallops Flight Facility, the NASA Experimental Airborne Advanced Research Lidar (EAARL) are being used. This sensor has the potential to make significant contributions in this realm for measuring water depth and conducting cross-environment surveys. 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,{"id":81226,"text":"ofr20061118 - 2006 - EAARL submarine topography: Biscayne National Park","interactions":[],"lastModifiedDate":"2022-12-15T20:31:57.162693","indexId":"ofr20061118","displayToPublicDate":"2008-05-13T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1118","title":"EAARL submarine topography: Biscayne National Park","docAbstract":"This lidar-derived submarine topography map was produced as a collaborative effort between the U.S. Geological Survey (USGS) Coastal and Marine Geology Program, National Park Service (NPS) South Florida/Caribbean Network Inventory and Monitoring Program, and the National Aeronautics and Space Administration (NASA) Wallops Flight Facility. One objective of this research is to create techniques to survey coral reefs for the purposes of habitat mapping, ecological monitoring, change detection, and event assessment (for example: bleaching, hurricanes, disease outbreaks). As part of this project, data from an innovative instrument under development at the NASA Wallops Flight Facility, the NASA Experimental Airborne Advanced Research Lidar (EAARL) are being used. This sensor has the potential to make significant contributions in this realm for measuring water depth and conducting cross-environment surveys. High spectral resolution, water-column correction, and low costs were found to be key factors in providing accurate and affordable imagery to managers of coastal tropical habitats.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061118","usgsCitation":"Brock, J., Wright, C.W., Patterson, M., Nayegandhi, A., Patterson, J., Harris, M.S., and Mosher, L., 2006, EAARL submarine topography: Biscayne National Park: U.S. Geological Survey Open-File Report 2006-1118, HTML Document, https://doi.org/10.3133/ofr20061118.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195436,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20061118.PNG"},{"id":410569,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83554.htm","linkFileType":{"id":5,"text":"html"}},{"id":11268,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1118/","linkFileType":{"id":5,"text":"html"}},{"id":295171,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1118/start.htm"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.28925125469101,\n              25.538068862733837\n            ],\n            [\n              -80.28925125469101,\n              25.224617335223712\n            ],\n            [\n              -80.1399700571653,\n              25.224617335223712\n            ],\n            [\n              -80.1399700571653,\n              25.538068862733837\n            ],\n            [\n              -80.28925125469101,\n              25.538068862733837\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f439","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":294885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, C. 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,{"id":80636,"text":"fs20063129 - 2006 - Streamstats: U.S. Geological Survey web application for streamflow statistics for Connecticut","interactions":[],"lastModifiedDate":"2022-07-14T11:10:22.191346","indexId":"fs20063129","displayToPublicDate":"2007-11-10T00:00:00","publicationYear":"2006","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":"2006-3129","title":"Streamstats: U.S. Geological Survey web application for streamflow statistics for Connecticut","docAbstract":"Introduction\r\n\r\nAn important mission of the U. S. Geological Survey (USGS) is to provide information on streamflow in the Nation's rivers. Streamflow statistics are used by water managers, engineers, scientists, and others to protect people and property during floods and droughts, and to manage land, water, and biological resources. Common uses for streamflow statistics include dam, bridge, and culvert design; water-supply planning and management; water-use appropriations and permitting; wastewater and industrial discharge permitting; hydropower-facility design and regulation; and flood-plain mapping for establishing flood-insurance rates and land-use zones.\r\n\r\nIn an effort to improve access to published streamflow statistics, and to make the process of computing streamflow statistics for ungaged stream sites easier, more accurate, and more consistent, the USGS and the Environmental Systems Research Institute, Inc. (ESRI) developed StreamStats (Ries and others, 2004). StreamStats is a Geographic Information System (GIS)-based Web application for serving previously published streamflow statistics and basin characteristics for USGS data-collection stations, and computing streamflow statistics and basin characteristics for ungaged stream sites. The USGS, in cooperation with the Connecticut Department of Environmental Protection and the Connecticut Department of Transportation, has implemented StreamStats for Connecticut.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20063129","collaboration":"Prepared in cooperation with the Connecticut Department of Environmental Protection and the Connecticut Department of Transportation","usgsCitation":"Ahearn, E.A., Ries, K., and Steeves, P.A., 2006, Streamstats: U.S. Geological Survey web application for streamflow statistics for Connecticut: U.S. Geological Survey Fact Sheet 2006-3129, 4 p., https://doi.org/10.3133/fs20063129.","productDescription":"4 p.","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":126251,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2006_3129.jpg"},{"id":10474,"rank":100,"type":{"id":15,"text":"Index 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4cd0","contributors":{"authors":[{"text":"Ahearn, Elizabeth A. 0000-0002-5633-2640 eaahearn@usgs.gov","orcid":"https://orcid.org/0000-0002-5633-2640","contributorId":194658,"corporation":false,"usgs":true,"family":"Ahearn","given":"Elizabeth","email":"eaahearn@usgs.gov","middleInitial":"A.","affiliations":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ries, Kernell G. III kries@usgs.gov","contributorId":1913,"corporation":false,"usgs":true,"family":"Ries","given":"Kernell G.","suffix":"III","email":"kries@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":293140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steeves, Peter A. 0000-0001-7558-9719 psteeves@usgs.gov","orcid":"https://orcid.org/0000-0001-7558-9719","contributorId":1873,"corporation":false,"usgs":true,"family":"Steeves","given":"Peter","email":"psteeves@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293139,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201469,"text":"70201469 - 2006 - Cartography for lunar exploration: 2006 status and planned missions","interactions":[],"lastModifiedDate":"2019-02-11T14:25:55","indexId":"70201469","displayToPublicDate":"2007-09-30T16:17:27","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Cartography for lunar exploration: 2006 status and planned missions","docAbstract":"<p>The initial spacecraft exploration of the Moon in the 1960s–70s yielded extensive data, primarily in the form of film and television images, that were used to produce a large number of hardcopy maps by conventional techniques. A second era of exploration, beginning in the early 1990s, has produced digital data including global multispectral imagery and altimetry, from which a new generation of digital map products tied to a rapidly evolving global control network has been made. Efforts are also underway to scan the earlier hardcopy maps for online distribution and to digitize the film images themselves so that modern processing techniques can be used to make high-resolution digital terrain models (DTMs) and image mosaics consistent with the current global control. The pace of lunar exploration is about to accelerate dramatically, with as many of seven new missions planned for the current decade. These missions, of which the most important for cartography are SMART-1 (Europe), SELENE (Japan), Chang'E-1 (China), Chandrayaan-1 (India), and Lunar Reconnaissance Orbiter (USA), will return a volume of data exceeding that of all previous lunar and planetary missions combined. Framing and scanner camera images, including multispectral and stereo data, hyperspectral images, synthetic aperture radar (SAR) images, and laser altimetry will all be collected, including, in most cases, multiple datasets of each type. Substantial advances in international standardization and cooperation, development of new and more efficient data processing methods, and availability of resources for processing and archiving will all be needed if the next generation of missions are to fulfil their potential for high-precision mapping of the Moon in support of subsequent exploration and scientific investigation. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium of ISPRS Commission IV","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium of ISPRS Commission IV","conferenceDate":"September 25-30, 2006","conferenceLocation":"Goa, India","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","usgsCitation":"Kirk, R.L., Archinal, B.A., Gaddis, L.R., and Rosiek, M.R., 2006, Cartography for lunar exploration: 2006 status and planned missions, <i>in</i> Symposium of ISPRS Commission IV, Goa, India, September 25-30, 2006, 12 p.","productDescription":"12 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":360278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360277,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.isprs.org/proceedings/XXXVI/part4/"}],"otherGeospatial":"Moon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c137dd6e4b006c4f85148b8","contributors":{"authors":[{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archinal, Brent A. 0000-0002-6654-0742 barchinal@usgs.gov","orcid":"https://orcid.org/0000-0002-6654-0742","contributorId":2816,"corporation":false,"usgs":true,"family":"Archinal","given":"Brent","email":"barchinal@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosiek, Mark R. mrosiek@usgs.gov","contributorId":824,"corporation":false,"usgs":true,"family":"Rosiek","given":"Mark","email":"mrosiek@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":754230,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80377,"text":"ofr20061137 - 2006 - Fish health study Ashtabula River natural resource damage assessment","interactions":[],"lastModifiedDate":"2024-03-04T20:28:08.405932","indexId":"ofr20061137","displayToPublicDate":"2007-09-15T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1137","title":"Fish health study Ashtabula River natural resource damage assessment","docAbstract":"INTRODUCTION\r\n\r\nThe Ashtabula River is located in northeast Ohio, flowing into Lake Erie at Ashtabula, Ohio. Tributaries include Fields Brook, Hubbard Run, Strong Brook, and Ashtabula Creek. The bottom sediments, bank soils and biota of Fields Brook have been severely contaminated by unregulated discharges of hazardous substances. Hazardous substances have migrated downstream from Fields Brook to the Ashtabula River and Harbor, contaminating bottom sediments, fish and wildlife. There are presently more than 1,000,000 cubic yards of contaminated sediment in the Ashtabula River and Harbor, much of which originated from Fields Brook. Contaminants include polychlorinated biphenyls (PCBs), chlorinated benzenes, chlorinated ethenes, hexachlorobutadiene, polyaromatic hydrocarbons (PAHs), other organic chemicals, heavy metals and low level radionuclides.\r\n\r\nA Preassessment Screen, using existing data, was completed for the Ashtabula River and Harbor on May 18, 2001. Among the findings was that the fish community at Ashtabula contained approximately 45 percent fewer species and 52 percent fewer individuals than the Ohio EPA designated reference area, Conneaut Creek. The Ashtabula River and Conneaut Creek are similar in many respects, with the exception of the presence of contamination at Ashtabula. The difference in the fish communities between the two sites is believed to be at least partially a result of the hazardous substance contamination at Ashtabula. In order to investigate this matter further, the Trustees elected to conduct a study of the status and health of the aquatic biological communities of the Ashtabula River and Conneaut Creek in 2002-2004. The following document contains brief method descriptions (more detail available in attached Appendix A) and a summary of the data used to evaluate the health status of brown bullheads (Ameiurus nebulosus) and largemouth bass (Micropterus salmoides) collected from the above sites.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061137","usgsCitation":"Blazer, V., Iwanowicz, L., and Baumann, P.C., 2006, Fish health study Ashtabula River natural resource damage assessment (Revised July 2006): U.S. Geological Survey Open-File Report 2006-1137, 58 p., https://doi.org/10.3133/ofr20061137.","productDescription":"58 p.","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":10200,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.fws.gov/midwest/es/ec/nrda/AshtabulaRiverNRDA/documents/Blazer%20Fish%20Health%20final.pdf","size":"3185","linkFileType":{"id":1,"text":"pdf"}},{"id":191989,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Ashtabula River, Conneaut Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.82195281982422,\n              41.867259837816974\n            ],\n            [\n              -80.77560424804688,\n              41.867259837816974\n            ],\n            [\n              -80.77560424804688,\n              41.91198644177823\n            ],\n            [\n              -80.82195281982422,\n              41.91198644177823\n            ],\n            [\n              -80.82195281982422,\n              41.867259837816974\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.5678939819336,\n              41.937019660425264\n            ],\n            [\n              -80.53253173828124,\n              41.937019660425264\n            ],\n            [\n              -80.53253173828124,\n              41.97148811097608\n            ],\n            [\n              -80.5678939819336,\n              41.97148811097608\n            ],\n            [\n              -80.5678939819336,\n              41.937019660425264\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Revised July 2006","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a1ae4b07f02db606325","contributors":{"authors":[{"text":"Blazer, V. S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":56991,"corporation":false,"usgs":true,"family":"Blazer","given":"V. S.","affiliations":[],"preferred":false,"id":292389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, L. R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":43864,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"L. R.","affiliations":[],"preferred":false,"id":292388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baumann, P. C.","contributorId":43297,"corporation":false,"usgs":false,"family":"Baumann","given":"P.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":292387,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178406,"text":"70178406 - 2006 - The Late-Holocene evolution of the Miseno area (south-western Campi Flegrei) as inferred by stratigraphy, petrochemistry and <sup>40</sup>Ar/<sup>39</sup>Ar geochronology:Chapter 6 in <i>Volcanism in the Campania Plain — Vesuvius, Campi Flegrei and Ignimbrites</i>","interactions":[],"lastModifiedDate":"2016-11-16T17:10:54","indexId":"70178406","displayToPublicDate":"2007-09-02T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1387,"text":"Developments in Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"The Late-Holocene evolution of the Miseno area (south-western Campi Flegrei) as inferred by stratigraphy, petrochemistry and <sup>40</sup>Ar/<sup>39</sup>Ar geochronology:Chapter 6 in <i>Volcanism in the Campania Plain — Vesuvius, Campi Flegrei and Ignimbrites</i>","docAbstract":"<p id=\"simple-para.0010\">This study on terrestrial and marine successions increases the understanding of the Late-Holocene volcanological and stratigraphical evolution of the south-western part of Campi Flegrei caldera.</p><p id=\"simple-para.0015\">Stratigraphic data derived from field studies of two major tuff vents located along the coastal zone, namely Porto Miseno and Capo Miseno, clearly indicate that the Porto Miseno tuff ring slightly predates the Capo Miseno tuff cone. <sup>40</sup>Ar/<sup>39</sup>Ar step-heating experiments, carried out on fresh sanidine separates from pumice samples, yielded a plateau age of 5090±140 yr BP for Capo Miseno and 6490±510 yr BP for Porto Miseno vent, thus confirming field observations.</p><p id=\"simple-para.0020\">The volcanoclastic input derived from this recent and intense eruptive activity played a major role in the inner-shelf stratigraphic evolution of the Porto Miseno Bay deposits that have been drilled up to 40 m depth off the crater rim. The cored succession is characterised by transgressive marine deposits (mostly volcanic sand) with two intercalated peat layers (t<sub>1</sub> and t<sub>2</sub>), dated at 3560±40 yr BP and 7815±55 yr BP (<sup>14</sup>C), respectively, interbedded with a 1–5 m thick pumice layer (tephra C). Peat layers have been chronostratigraphically correlated with two widespread paleosols onland while petrochemical analyses allowed us to correlate tephra C with the Capo Miseno tuff cone deposits.</p><p id=\"simple-para.0025\">The results presented in this study imply a Late-Holocene volcanic activity that is also well preserved in the marine record in this sector of the caldera where a new chronostratigraphic reconstruction of the eruptive events is required in order to better evaluate the hazard assessment of the area.</p>","largerWorkTitle":"Volcanism in the Campania Plain — Vesuvius, Campi Flegrei and Ignimbrites","language":"English","publisher":"Elsevier","doi":"10.1016/S1871-644X(06)80020-3","usgsCitation":"Insinga, D., Calvert, A.T., Lanphere, M.A., Morra, V., Perrotta, A., Sacchi, M., Scarpati, C., Saburomaru, J., and Fedele, L., 2006, The Late-Holocene evolution of the Miseno area (south-western Campi Flegrei) as inferred by stratigraphy, petrochemistry and <sup>40</sup>Ar/<sup>39</sup>Ar geochronology:Chapter 6 in <i>Volcanism in the Campania Plain — Vesuvius, Campi Flegrei and Ignimbrites</i>: Developments in Volcanology, v. 9, p. 97-124, https://doi.org/10.1016/S1871-644X(06)80020-3.","productDescription":"28 p.","startPage":"97","endPage":"124","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":331090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Campi Flegrei caidera ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              14,\n              40.75\n            ],\n            [\n              14,\n              41\n            ],\n            [\n              14.3,\n              41\n            ],\n            [\n              14.3,\n              40.75\n            ],\n            [\n              14,\n              40.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582dd8eae4b04d580bd3fa99","contributors":{"authors":[{"text":"Insinga, Donatella","contributorId":176927,"corporation":false,"usgs":false,"family":"Insinga","given":"Donatella","email":"","affiliations":[],"preferred":false,"id":653996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":653997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lanphere, Marvin A. alder@usgs.gov","contributorId":2696,"corporation":false,"usgs":true,"family":"Lanphere","given":"Marvin","email":"alder@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":653998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morra, Vincenzo","contributorId":176928,"corporation":false,"usgs":false,"family":"Morra","given":"Vincenzo","email":"","affiliations":[],"preferred":false,"id":653999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perrotta, Annamaria","contributorId":176929,"corporation":false,"usgs":false,"family":"Perrotta","given":"Annamaria","email":"","affiliations":[],"preferred":false,"id":654000,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sacchi, Marco","contributorId":176930,"corporation":false,"usgs":false,"family":"Sacchi","given":"Marco","email":"","affiliations":[],"preferred":false,"id":654001,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scarpati, Claudio","contributorId":176931,"corporation":false,"usgs":false,"family":"Scarpati","given":"Claudio","email":"","affiliations":[],"preferred":false,"id":654004,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Saburomaru, James","contributorId":176932,"corporation":false,"usgs":true,"family":"Saburomaru","given":"James","email":"","affiliations":[],"preferred":false,"id":654005,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fedele, Lorenzo","contributorId":176933,"corporation":false,"usgs":false,"family":"Fedele","given":"Lorenzo","email":"","affiliations":[],"preferred":false,"id":654006,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":80217,"text":"sir20065319 - 2006 - Diffuse-flow conceptualization and simulation of the Edwards aquifer, San Antonio region, Texas","interactions":[],"lastModifiedDate":"2017-05-23T17:58:49","indexId":"sir20065319","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2006","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":"2006-5319","title":"Diffuse-flow conceptualization and simulation of the Edwards aquifer, San Antonio region, Texas","docAbstract":"<p>A numerical ground-water-flow model (hereinafter, the conduit-flow Edwards aquifer model) of the karstic Edwards aquifer in south-central Texas was developed for a previous study on the basis of a conceptualization emphasizing conduit development and conduit flow, and included simulating conduits as one-cell-wide, continuously connected features. Uncertainties regarding the degree to which conduits pervade the Edwards aquifer and influence ground-water flow, as well as other uncertainties inherent in simulating conduits, raised the question of whether a model based on the conduit-flow conceptualization was the optimum model for the Edwards aquifer. Accordingly, a model with an alternative hydraulic conductivity distribution without conduits was developed in a study conducted during 2004-05 by the U.S. Geological Survey, in cooperation with the San Antonio Water System. The hydraulic conductivity distribution for the modified Edwards aquifer model (hereinafter, the diffuse-flow Edwards aquifer model), based primarily on a conceptualization in which flow in the aquifer predominantly is through a network of numerous small fractures and openings, includes 38 zones, with hydraulic conductivities ranging from 3 to 50,000 feet per day. Revision of model input data for the diffuse-flow Edwards aquifer model was limited to changes in the simulated hydraulic conductivity distribution. The root-mean-square error for 144 target wells for the calibrated steady-state simulation for the diffuse-flow Edwards aquifer model is 20.9 feet. This error represents about 3 percent of the total head difference across the model area. The simulated springflows for Comal and San Marcos Springs for the calibrated steady-state simulation were within 2.4 and 15 percent of the median springflows for the two springs, respectively. The transient calibration period for the diffuse-flow Edwards aquifer model was 1947-2000, with 648 monthly stress periods, the same as for the conduit-flow Edwards aquifer model. The root-mean-square error for a period of drought (May-November 1956) for the calibrated transient simulation for 171 target wells is 33.4 feet, which represents about 5 percent of the total head difference across the model area. The root-mean-square error for a period of above-normal rainfall (November 1974-July 1975) for the calibrated transient simulation for 169 target wells is 25.8 feet, which represents about 4 percent of the total head difference across the model area. The root-mean-square error ranged from 6.3 to 30.4 feet in 12 target wells with long-term water-level measurements for varying periods during 1947-2000 for the calibrated transient simulation for the diffuse-flow Edwards aquifer model, and these errors represent 5.0 to 31.3 percent of the range in water-level fluctuations of each of those wells. The root-mean-square errors for the five major springs in the San Antonio segment of the aquifer for the calibrated transient simulation, as a percentage of the range of discharge fluctuations measured at the springs, varied from 7.2 percent for San Marcos Springs and 8.1 percent for Comal Springs to 28.8 percent for Leona Springs. The root-mean-square errors for hydraulic heads for the conduit-flow Edwards aquifer model are 27, 76, and 30 percent greater than those for the diffuse-flow Edwards aquifer model for the steady-state, drought, and above-normal rainfall synoptic time periods, respectively. The goodness-of-fit between measured and simulated springflows is similar for Comal, San Marcos, and Leona Springs for the diffuse-flow Edwards aquifer model and the conduit-flow Edwards aquifer model. The root-mean-square errors for Comal and Leona Springs were 15.6 and 21.3 percent less, respectively, whereas the root-mean-square error for San Marcos Springs was 3.3 percent greater for the diffuse-flow Edwards aquifer model compared to the conduit-flow Edwards aquifer model. The root-mean-square errors for San Antonio and San Pedro Springs were&nbsp;appreciably greater, 80.2 and 51.0 percent, respectively, for the diffuse-flow Edwards aquifer model. The simulated water budgets for the diffuse-flow Edwards aquifer model are similar to those for the conduit-flow Edwards aquifer model. Differences in percentage of total sources or discharges for a budget component are 2.0 percent or&nbsp;less for all budget components for the steady-state and transient simulations. The largest difference in terms of the magnitude of water budget components for the transient simulation for 1956 was a decrease of about 10,730 acre-feet per year (about 2 per-cent) in springflow for the diffuse-flow Edwards aquifer model compared to the conduit-flow Edwards aquifer model. This decrease in springflow (a water budget discharge) was largely offset by the decreased net loss of water from storage (a water budget source) of about 10,500 acre-feet per year.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065319","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Lindgren, R.J., 2006, Diffuse-flow conceptualization and simulation of the Edwards aquifer, San Antonio region, Texas: U.S. Geological Survey Scientific Investigations Report 2006-5319, Report: iv, 48 p.; Plate: 30 x 26 inches, https://doi.org/10.3133/sir20065319.","productDescription":"Report: iv, 48 p.; Plate: 30 x 26 inches","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":192503,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20065319.gif"},{"id":327721,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2006/5319/pdf/sir2006-5319.pdf","text":"Report","size":"5.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":327722,"rank":102,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2006/5319/pdf/sir2006-5319_pl.pdf","text":"Plate 1","size":"6.92 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 1"},{"id":10037,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5319/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.5,28.5 ], [ -100.5,30.5 ], [ -97.5,30.5 ], [ -97.5,28.5 ], [ -100.5,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a85f1","contributors":{"authors":[{"text":"Lindgren, R. J.","contributorId":70808,"corporation":false,"usgs":true,"family":"Lindgren","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":292000,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80148,"text":"ofr20061075 - 2006 - Vascular Plant and Vertebrate Inventory of Saguaro National Park, Rincon Mountain District","interactions":[],"lastModifiedDate":"2012-02-02T00:13:56","indexId":"ofr20061075","displayToPublicDate":"2007-07-28T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1075","title":"Vascular Plant and Vertebrate Inventory of Saguaro National Park, Rincon Mountain District","docAbstract":"Executive Summary\r\n\r\nThis report summarizes the results of the first comprehensive inventory of plants and vertebrates at the Rincon Mountain District (RMD) of Saguaro National Park, Arizona. From 2001 to 2003 we surveyed for vascular plants and vertebrates (amphibians, reptiles, birds, and mammals) at the district to document the presence of species within its boundaries. Park staff also surveyed for medium and large mammals using infrared-triggered cameras from 1999 to 2005. This report summarizes the methods and results of these two efforts. Our spatial sampling design was ambitious and was one of the first of its kind in the region to colocate study sites for vegetation and vertebrates using a stratified random design. We also chose the location of some study sites non-randomly in areas that we thought would have the highest species richness. Because we used repeatable study designs and standardized field methods, these inventories can serve as the first step in a biological monitoring program for the district. We also provide an important overview of most previous survey efforts in the district. We use data from our inventory and other surveys to compile species lists and to assess inventory completeness. \r\n\r\nWith the exception of plants, our survey effort was the most comprehensive ever undertaken in the district. We recorded a total of 801 plant and vertebrate species, including 50 species not previously found in the district (Table 1) of which five (all plants) are non-native species. Based on a review of our inventory and past research at the district, there have been a total of 1,479 species of plants and vertebrates found there. We believe inventories for all taxonomic groups are nearly complete. In particular, the plant, amphibian and reptile, and mammal species lists are the most complete of any comparably large natural area of the 'sky island' region of southern Arizona and adjacent Mexico.\r\n\r\nFor each taxon-specific chapter we discuss patterns of species richness and environmental determinants of these patterns. For all groups except medium and large mammals, the low elevation stratum (<4,000 feet) contained the highest species richness, after accounting for differences in survey effort among strata. This is consistent with known patterns of species richness in the sky island mountain ranges. Using data on relative abundance for plants and birds, we were able to identify a number of distinct ecological communities, which were consistent with known patterns in the sky islands.\r\n\r\nOur review of species lists and park records reveals that the district has lost species, particularly plants and mammals, in the past few decades. Because of the district's close proximity to the rapidly growing city of Tucson, there are a number of development-related threats that could cause additional species loss or decline in abundance of some species. In particular, the increasing groundwater pumping near Rincon Creek, the most species-rich area in the park, is likely to impact the unique riparian vegetation and animals of that area. We discuss this and other demands on the ecological integrity of the district. We also recommend additional inventory, monitoring, and research studies.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20061075","collaboration":"Prepared in cooperation with the University of Arizona, School of Natural Resources","usgsCitation":"Powell, B., Halvorson, W.L., and Schmidt, C., 2006, Vascular Plant and Vertebrate Inventory of Saguaro National Park, Rincon Mountain District (Version 1.0): U.S. Geological Survey Open-File Report 2006-1075, xvi, 156 p., https://doi.org/10.3133/ofr20061075.","productDescription":"xvi, 156 p.","onlineOnly":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":10299,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1075/","linkFileType":{"id":5,"text":"html"}},{"id":191886,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602859","contributors":{"authors":[{"text":"Powell, Brian F.","contributorId":25644,"corporation":false,"usgs":true,"family":"Powell","given":"Brian F.","affiliations":[],"preferred":false,"id":291846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halvorson, William Lee","contributorId":104992,"corporation":false,"usgs":true,"family":"Halvorson","given":"William","email":"","middleInitial":"Lee","affiliations":[],"preferred":false,"id":291848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Cecilia A.","contributorId":25645,"corporation":false,"usgs":true,"family":"Schmidt","given":"Cecilia A.","affiliations":[],"preferred":false,"id":291847,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80147,"text":"ofr20061163 - 2006 - Vascular Plant and Vertebrate Inventory of Montezuma Castle National Monument","interactions":[],"lastModifiedDate":"2012-02-02T00:14:09","indexId":"ofr20061163","displayToPublicDate":"2007-07-28T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1163","title":"Vascular Plant and Vertebrate Inventory of Montezuma Castle National Monument","docAbstract":"Executive Summary\r\n\r\nWe summarize past inventory efforts for vascular plants and vertebrates at Montezuma Castle National Monument (NM) in Arizona. We used data from previous research to compile complete species lists for the monument and to assess inventory completeness.\r\n\r\nThere have been 784 species recorded at Montezuma Castle NM, of which 85 (11%) are non-native.\r\n\r\nIn each taxon-specific chapter we highlight areas of resources that contributed to species richness or unique species for the monument. Of particular importance are Montezuma Well and Beaver and Wet Beaver creeks and the surrounding riparian vegetation, which are responsible for the monument having one of the highest numbers of bird species in the Sonoran Desert Network of park units. Beaver Creek is also home to populations of federally-listed fish species of concern. Other important resources include the cliffs along the creeks and around Montezuma Well (for cliff and cave roosting bats).\r\n\r\nBased on the review of past studies, we believe the inventory for most taxa is nearly complete, though some rare or elusive species will be added with additional survey effort. We recommend additional inventory, monitoring and research studies.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20061163","collaboration":"Prepared in cooperation with the University of Arizona, School of Natural Resources","usgsCitation":"Schmidt, C., Drost, C.A., and Halvorson, W.L., 2006, Vascular Plant and Vertebrate Inventory of Montezuma Castle National Monument (Version 1.0): U.S. Geological Survey Open-File Report 2006-1163, x, 56 p., https://doi.org/10.3133/ofr20061163.","productDescription":"x, 56 p.","onlineOnly":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":191975,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10384,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1163/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db60284f","contributors":{"authors":[{"text":"Schmidt, Cecilia A.","contributorId":25645,"corporation":false,"usgs":true,"family":"Schmidt","given":"Cecilia A.","affiliations":[],"preferred":false,"id":291844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":291843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halvorson, William Lee","contributorId":104992,"corporation":false,"usgs":true,"family":"Halvorson","given":"William","email":"","middleInitial":"Lee","affiliations":[],"preferred":false,"id":291845,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80128,"text":"fs20063019 - 2006 - LANDFIRE: Collaboration for National Fire Fuel Assessment","interactions":[],"lastModifiedDate":"2012-02-02T00:14:22","indexId":"fs20063019","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2006","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":"2006-3019","title":"LANDFIRE: Collaboration for National Fire Fuel Assessment","docAbstract":"The implementation of national fire management policies, such as the National Fire Plan and the Healthy Forest Restoration Act, requires geospatial data of vegetation types and structure, wildland fuels, fire risks, and ecosystem fire regime conditions. Presently, no such data sets are available that can meet these requirements. As a result, the U.S. Department of Agriculture (USDA) Forest Service and the Department of the Interior's land management bureaus (Bureau of Indian Affairs (BIA), Bureau of Land Management (BLM), Fish and Wildlife Service (FWS), and National Park Service (NPS)) have jointly sponsored LANDFIRE, a new research and development project. The primary objective of the project is to develop an integrated and repeatable methodology and produce vegetation, fire, and ecosystem information and predictive models for cost-effective national land management applications. The project is conducted collaboratively by the U.S. Geological Survey (USGS), the USDA Forest Service, and The Nature Conservancy.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20063019","usgsCitation":"Zhu, Z., 2006, LANDFIRE: Collaboration for National Fire Fuel Assessment: U.S. Geological Survey Fact Sheet 2006-3019, 1 p., https://doi.org/10.3133/fs20063019.","productDescription":"1 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":122413,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2006/3019/report-thumb.jpg"},{"id":91229,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2006/3019/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4784","contributors":{"authors":[{"text":"Zhu, Zhi-Liang","contributorId":70726,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","affiliations":[],"preferred":false,"id":291790,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80127,"text":"fs20063020 - 2006 - Land Cover Trends Project","interactions":[],"lastModifiedDate":"2012-02-02T00:14:07","indexId":"fs20063020","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2006","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":"2006-3020","title":"Land Cover Trends Project","docAbstract":"The Land Cover Trends Project is designed to document the types, rates, causes, and consequences of land cover change from 1973 to 2000 within each of the 84 U.S. Environmental Protection Agency (EPA) Level III ecoregions that span the conterminous United States. The project's objectives are to:\r\n* Develop a comprehensive methodology using probability sampling and change analysis techniques and Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Enhanced Thematic Mapper (ETM) data for estimating regional land cover change.\r\n* Characterize the spatial and temporal characteristics of conterminous U.S. land cover change for five periods from 1973 to 2000 (nominally 1973, 1980, 1986, 1992, and 2000).\r\n* Document the regional driving forces and consequences of change.\r\n* Prepare a national synthesis of land cover change.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20063020","usgsCitation":"Acevedo, W., 2006, Land Cover Trends Project: U.S. Geological Survey Fact Sheet 2006-3020, 1 p., https://doi.org/10.3133/fs20063020.","productDescription":"1 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":122011,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2006/3020/report-thumb.jpg"},{"id":91228,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2006/3020/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aec07","contributors":{"authors":[{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":291789,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80118,"text":"fs20063022 - 2006 - Famine Early Warning System Network (FEWS NET)","interactions":[],"lastModifiedDate":"2012-02-02T00:14:18","indexId":"fs20063022","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2006","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":"2006-3022","title":"Famine Early Warning System Network (FEWS NET)","docAbstract":"The FEWS NET mission is to identify potentially food-insecure conditions early through the provision of timely and analytical hazard and vulnerability information. U.S. Government decision-makers act on this information to authorize mitigation and response activities. The U.S. Geological Survey (USGS) FEWS NET provides tools and data for monitoring and forecasting the incidence of drought and flooding to identify shocks to the food supply system that could lead to famine. Historically focused on Africa, the scope of the network has expanded to be global coverage.\r\n\r\nFEWS NET implementing partners include the USGS, National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), United States Agency for International Development (USAID), United States Department of Agriculture (USDA), and Chemonics International.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20063022","usgsCitation":"Verdin, J.P., 2006, Famine Early Warning System Network (FEWS NET): U.S. Geological Survey Fact Sheet 2006-3022, 2 p., https://doi.org/10.3133/fs20063022.","productDescription":"2 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":122409,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2006/3022/report-thumb.jpg"},{"id":91220,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2006/3022/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db62569a","contributors":{"authors":[{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":291779,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80126,"text":"fs20053115 - 2006 - The USGS Land Cover Institute","interactions":[],"lastModifiedDate":"2012-02-02T00:14:05","indexId":"fs20053115","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2006","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":"2005-3115","title":"The USGS Land Cover Institute","docAbstract":"The U.S. Geological Survey (USGS) Land Cover Institute (LCI) is located at the Center for Earth Resources Observation and Science (EROS) in Sioux Falls, South Dakota. It provides a focal point for advancing USGS land cover studies and applications. Satellite images and other remotely sensed data play an important role in this research. Land Cover scientists investigate new ways to use satellite images and other data to map land cover. They assess national and global land cover characteristics and monitor how - and how rapidly - land cover changes. They also study the economic impacts of land cover as well as its effects on water quality, the spread of invasive species, habitats and biodiversity, climate variability, and other environmental factors.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20053115","usgsCitation":"Barnes, C., 2006, The USGS Land Cover Institute: U.S. Geological Survey Fact Sheet 2005-3115, 2 p., https://doi.org/10.3133/fs20053115.","productDescription":"2 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":126239,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2005/3115/report-thumb.jpg"},{"id":91227,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2005/3115/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abce4b07f02db6734f7","contributors":{"authors":[{"text":"Barnes, Christopher 0000-0002-4608-4364 barnes@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":3617,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"barnes@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":291788,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80099,"text":"wdrHI051 - 2006 - Water Resources Data: Hawaii and Other Pacific Areas, Water Year 2005. Volume 1. Hawaii","interactions":[],"lastModifiedDate":"2012-03-08T17:16:23","indexId":"wdrHI051","displayToPublicDate":"2007-07-13T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"HI-05-1","title":"Water Resources Data: Hawaii and Other Pacific Areas, Water Year 2005. Volume 1. Hawaii","docAbstract":"Water resources data for the 2005 water year for Hawaii consist of records of stage, discharge, and water quality of streams and springs; water levels and quality of water wells; and rainfall totals.\r\n\r\n* Water discharge for 59 gaging stations on streams, springs, and ditches.\r\n* Water-quality data for 6 streams.\r\n* Water levels for 80 observation wells.\r\n* Rainfall data for 35 rainfall stations.\r\n* Discharge data for 55 crest-stage partial-record stations.\r\n\r\nThese data represent that part of the National Water Data System operated by the U.S. Geological Survey and cooperating Federal, State, and other local agencies in Hawaii.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/wdrHI051","collaboration":"Prepared in cooperation with the State of Hawaii Department of Land and Natural Resources, Commission on Water Resource Management and with other agencies","usgsCitation":"Fontaine, R.A., 2006, Water Resources Data: Hawaii and Other Pacific Areas, Water Year 2005. Volume 1. Hawaii: U.S. Geological Survey Water Data Report HI-05-1, xxii, 322 p., https://doi.org/10.3133/wdrHI051.","productDescription":"xxii, 322 p.","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":9898,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://hi.water.usgs.gov/publications/pubs/adr/hi-05-1.pdf","size":"8909","linkFileType":{"id":1,"text":"pdf"}},{"id":194600,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49b3e4b07f02db5ca149","contributors":{"authors":[{"text":"Fontaine, Richard A. rfontain@usgs.gov","contributorId":2379,"corporation":false,"usgs":true,"family":"Fontaine","given":"Richard","email":"rfontain@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":291722,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80044,"text":"twri09A6.1 - 2006 - Chapter A6. Section 6.1. Temperature","interactions":[{"subject":{"id":80044,"text":"twri09A6.1 - 2006 - Chapter A6. Section 6.1. Temperature","indexId":"twri09A6.1","publicationYear":"2006","noYear":false,"displayTitle":"Chapter A6. Section 6.1. Temperature","title":"Chapter A6. Section 6.1. Temperature"},"predicate":"SUPERSEDED_BY","object":{"id":70261453,"text":"tm9A6.1 - 2024 - Temperature","indexId":"tm9A6.1","publicationYear":"2024","noYear":false,"title":"Temperature"},"id":1}],"supersededBy":{"id":70261453,"text":"tm9A6.1 - 2024 - Temperature","indexId":"tm9A6.1","publicationYear":"2024","noYear":false,"title":"Temperature"},"lastModifiedDate":"2024-12-17T18:30:09.734555","indexId":"twri09A6.1","displayToPublicDate":"2007-06-20T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A6.1","displayTitle":"Chapter A6. Section 6.1. Temperature","title":"Chapter A6. Section 6.1. Temperature","docAbstract":"<p>Accurate temperature measurements are required for accurate determinations of important environmental parameters such as pH, specific electrical conductance, and dissolved oxygen, and to the determination of chemical reaction rates and equilibria, biological activity, and physical fluid properties. This section of the National Field Manual (NFM) describes U.S. Geological Survey (USGS) guidance and protocols for measurement of temperature in air, ground water, and surface water and calibration of the equipment used. Each chapter of the National Field Manual is published separately and revised periodically. Newly published and revised chapters will be announced on the USGS Home Page on the World Wide Web under 'New Publications of the U.S. Geological Survey.'</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/twri09A6.1","usgsCitation":"Wilde, F., 2006, Chapter A6. Section 6.1. Temperature (Version 2): U.S. Geological Survey Techniques of Water-Resources Investigations 09-A6.1, 22 p., https://doi.org/10.3133/twri09A6.1.","productDescription":"22 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":363704,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-AO","linkHelpText":"- General introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":363001,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a61/twri9a6_6.1_v-1.1.pdf","text":"Report September 2002","size":"60.3 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Version 1.1"},{"id":363000,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a61/twri9a6_6.1_ver1.2.pdf","text":"Report April 2004","size":"760 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Version 1.2"},{"id":363002,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a61/twri9a6_6.1_4-98.pdf","text":"Report April 1998","size":"9.06 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- First Release"},{"id":9803,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a6_6.1_ver2.pdf","text":"Report","size":"393 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TWRI 9a6.1"},{"id":192232,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Version 2","contact":"<p><a href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\">Water Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:nfm@usgs.gov\" data-mce-href=\"mailto:nfm@usgs.gov\">nfm@usgs.gov</a></p>","tableOfContents":"<ul><li>Temperatures</li><li>Selected References</li><li>Acknowledgments</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e59a6","contributors":{"authors":[{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":1727,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska D.","email":"fwilde@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":false,"id":291555,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79855,"text":"ofr20051026 - 2006 - Hydratools manual version 1.0, documentation for a MATLAB<sup>®</sup>-based post-processing package for the Sontek Hydra","interactions":[],"lastModifiedDate":"2017-11-06T08:27:48","indexId":"ofr20051026","displayToPublicDate":"2007-04-28T00:00:00","publicationYear":"2006","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":"2005-1026","title":"Hydratools manual version 1.0, documentation for a MATLAB<sup>®</sup>-based post-processing package for the Sontek Hydra","docAbstract":"<p>The Sediment Transport Instrumentation Group (STG) at the U.S. Geological Survey (USGS) Woods Hole Science Center has a long-standing comitment to providing scientists with high quality oceanographic data. To meet this commitment, STG personnel are vigilant in checking data as well as hardware for signs of instrument malfunction. STG data sets are accompanied by processing histories to detail data processing procedures that may have modified the natural data signal while removing noise from the data.</p>\n<br>\n<p>The history also allows the data to be reprocessed in the ligth of new insight into instrument function and moored conditions. This toolbox was compiled to meet these data quality commitments for data generated by Sontek Hydra systems using both ADV and PCADP probes.</p>\n<br>\n<p>In the mid 1900's, the USGS Coastal and Marine Program began frequent deployments of Sontek Hydra systems in support of projects in estuaries, coastal, and continental shelf regions nationwide. Hydra data sets are large and complex in structure, and existing processing and editing tools consisted of fragments of MATLAB code written by USGS scientists to satisfy personal research needs.</p>\n<br>\n<p>This code did not meet STG quality control criteria. This toolbox permits engineers and scientists to monitor data quality by:</p>\n<br>\n<p>1.\tprocessing data with interactive critical review;</p>\n<p>2.\tpreserving data quality indicators;</p>\n<p>3.\tpreserving minimally processed and partially processed versions of data sets.</p>\n<br>\n<p>STG usually deploys ADV and PCADP probes configured as downward looking, mounted on bottom tripods, with the objective of measuring high-resolution near-bed currents. The velocity profiles are recorded with minimal internal data processing. Also recorded are parameters such as temperature, conductivity, optical backscatter, light transmission, and high frequency pressure. Sampling consists of high-frequency bursts(1–10 Hz) bursts of long duration (5–30 minutes) at regular and recurring intervals for a duration of 1 to 6 months. The result is very large data files, often 500 MB per Hydra, per deployment, in Sontek's compressed binary format.</p>\n<br>\n<p>This section introduces the Hydratools toolbox and provides information about the history of the system's development. The USGS philosophy regarding data quality is discussed to provide an understating of the motivation for creating the system. General information about the following topics will also be discussed: hardware and software required for the system, basic processing steps, limitations of program usage, and features that are unique to the programs.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20051026","usgsCitation":"Martini, M.A., Sherwood, C., Horwitz, R., Ramsey, A., Lightsom, F., Lacy, J., and Xu, J., 2006, Hydratools manual version 1.0, documentation for a MATLAB<sup>®</sup>-based post-processing package for the Sontek Hydra: U.S. Geological Survey Open-File Report 2005-1026, Report: 49 p.; Data files, https://doi.org/10.3133/ofr20051026.","productDescription":"Report: 49 p.; Data files","numberOfPages":"49","additionalOnlineFiles":"Y","costCenters":[{"id":528,"text":"Pacific Science Center","active":false,"usgs":true},{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":190645,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20051026.PNG"},{"id":9575,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1026/","linkFileType":{"id":5,"text":"html"}},{"id":293466,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2005/1026/zip/hydratools20apr06.zip"},{"id":293465,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2005/1026/pdf/report.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a376","contributors":{"authors":[{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":291006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Chris","contributorId":45007,"corporation":false,"usgs":true,"family":"Sherwood","given":"Chris","email":"","affiliations":[],"preferred":false,"id":291005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horwitz, Rachel","contributorId":40285,"corporation":false,"usgs":true,"family":"Horwitz","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":291003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramsey, Andree","contributorId":39069,"corporation":false,"usgs":true,"family":"Ramsey","given":"Andree","email":"","affiliations":[],"preferred":false,"id":291002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lightsom, Fran","contributorId":41053,"corporation":false,"usgs":true,"family":"Lightsom","given":"Fran","email":"","affiliations":[],"preferred":false,"id":291004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lacy, Jessie","contributorId":9356,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessie","email":"","affiliations":[],"preferred":false,"id":291001,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Jingping jpx@usgs.gov","contributorId":2574,"corporation":false,"usgs":true,"family":"Xu","given":"Jingping","email":"jpx@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":291000,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":79833,"text":"ofr20061260B - 2006 - Surficial geologic map of the Salem Depot-Newburyport East-Wilmington-Rockport 16-quadrangle area in northeast Massachusetts","interactions":[],"lastModifiedDate":"2022-07-11T20:30:00.407327","indexId":"ofr20061260B","displayToPublicDate":"2007-04-24T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1260","chapter":"B","title":"Surficial geologic map of the Salem Depot-Newburyport East-Wilmington-Rockport 16-quadrangle area in northeast Massachusetts","docAbstract":"The surficial geologic map shows the distribution of nonlithified earth materials at land surface in an area of 16 7.5-minute quadrangles (total 658 mi2) in northeast Massachusetts. The geologic map differentiates surficial materials of Quaternary age on the basis of their lithologic characteristics (grain size, sedimentary structures, mineral and rock-particle composition), constructional geomorphic features, stratigraphic relationships, and age. Surficial earth materials significantly affect human use of the land, and an accurate description of their distribution is particularly important for water resources, construction aggregate resources, earth-surface hazards assessments, and land-use decisions. This compilation of surficial geologic materials is an interim product that defines the areas of exposed bedrock, and the boundaries between glacial till, glacial stratified deposits, and overlying postglacial deposits. This work is part of a comprehensive study to produce a statewide digital map of the surficial geology at a 1:24,000-scale level of accuracy. This report includes explanatory text (PDF), a regional map at 1:50,000 scale (PDF), quadrangle maps at 1:24,000 scale (PDF files), GIS data layers (ArcGIS shapefiles), metadata for the GIS layers, scanned topographic base maps (TIF), and a readme.txt file.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061260B","collaboration":"Prepared in Cooperation with the Commonwealth of Massachusetts, Office of the State Geologist and Executive Office of Environmental Affairs","usgsCitation":"Stone, B.D., Stone, J., and DiGiacomo-Cohen, M.L., 2006, Surficial geologic map of the Salem Depot-Newburyport East-Wilmington-Rockport 16-quadrangle area in northeast Massachusetts: U.S. Geological Survey Open-File Report 2006-1260, HTML Dcoument, https://doi.org/10.3133/ofr20061260B.","productDescription":"HTML Dcoument","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":192804,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9527,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1260/B/","linkFileType":{"id":5,"text":"html"}},{"id":110725,"rank":700,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81194.htm","linkFileType":{"id":5,"text":"html"},"description":"81194"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Salem Depot - Newburyport East - Wilmington - Rockport 16-quadrangle area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.25,\n              42.5\n            ],\n            [\n              -70.5739,\n              42.5\n            ],\n            [\n              -70.5739,\n              42.8867\n            ],\n            [\n              -71.25,\n              42.8867\n            ],\n            [\n              -71.25,\n              42.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db68961e","contributors":{"authors":[{"text":"Stone, Byron D. 0000-0001-6092-0798 bdstone@usgs.gov","orcid":"https://orcid.org/0000-0001-6092-0798","contributorId":1702,"corporation":false,"usgs":true,"family":"Stone","given":"Byron","email":"bdstone@usgs.gov","middleInitial":"D.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":290952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Janet Radway","contributorId":72793,"corporation":false,"usgs":true,"family":"Stone","given":"Janet Radway","affiliations":[],"preferred":false,"id":290954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiGiacomo-Cohen, Mary L.","contributorId":45253,"corporation":false,"usgs":true,"family":"DiGiacomo-Cohen","given":"Mary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":290953,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79840,"text":"sir20065189 - 2006 - Areal distribution and concentration of contaminants of concern in surficial streambed and lakebed sediments, Lake St. Clair and tributaries, Michigan, 1990-2003","interactions":[],"lastModifiedDate":"2017-01-23T10:10:05","indexId":"sir20065189","displayToPublicDate":"2007-04-24T00:00:00","publicationYear":"2006","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":"2006-5189","title":"Areal distribution and concentration of contaminants of concern in surficial streambed and lakebed sediments, Lake St. Clair and tributaries, Michigan, 1990-2003","docAbstract":"<p class=\"body\">As part of the Lake St. Clair Regional Monitoring Project, the U.S. Geological Survey evaluated data collected from surficial streambed and lakebed sediments in the Lake Erie-Lake St. Clair drainages. This study incorporates data collected from 1990 through 2003 and focuses primarily on the U.S. part of the Lake St. Clair Basin, including Lake St. Clair, the St. Clair River, and tributaries to Lake St. Clair. Comparable data from the Canadian part of the study area are included where available. The data are compiled into 4 chemical classes and consist of 21 compounds. The data are compared to effects-based sediment-quality guidelines, where the Threshold Effect Level and Lowest Effect Level represent concentrations below which adverse effects on biota are not expected and the Probable Effect Level and Severe Effect Level represent concentrations above which adverse effects on biota are expected to be frequent.</p><p class=\"body\">Maps in the report show the spatial distribution of the sampling locations and illustrate the concentrations relative to the selected sediment-quality guidelines. These maps indicate that sediment samples from certain areas routinely had contaminant concentrations greater than the Threshold Effect Concentration or Lowest Effect Level. These locations are the upper reach of the St. Clair River, the main stem and mouth of the Clinton River, Big Beaver Creek, Red Run, and Paint Creek. Maps also indicated areas that routinely contained sediment contaminant concentrations that were greater than the Probable Effect Concentration or Severe Effect Level. These locations include the upper reach of the St. Clair River, the main stem and mouth of the Clinton River, Red Run, within direct tributaries along Lake St. Clair and in marinas within the lake, and within the Clinton River headwaters in Oakland County.</p><p class=\"body\">Although most samples collected within Lake St. Clair were from sites adjacent to the mouths of its tributaries, samples analyzed for trace-element concentrations were collected throughout the lake. The distribution of trace-element concentrations corresponded well with the results of a two-dimensional hydrodynamic model of flow patterns from the Clinton River into Lake St. Clair. The model was developed independent from the bed sediment analysis described in this report; yet it showed a zone of deposition for outflow from the Clinton River into Lake St. Clair that corresponded well with the spatial distribution of trace-element concentrations. This zone runs along the western shoreline of Lake St. Clair from L'Anse Creuse Bay to St. Clair Shores, Michigan and is reflected in the samples analyzed for mercury and cadmium.</p><p class=\"body\">Statistical summaries of the concentration data are presented for most contaminants, and selected statistics are compared to effects-based sediment-quality guidelines. Summaries were not computed for dieldrin, chlordane, hexachlorocyclohexane, lindane, and mirex because insufficient data are available for these contaminants. A statistical comparison showed that the median concentration for hexachlorobenzene, anthracene, benz[<i>a</i>]anthracene, chrysene, and pyrene are greater than the Threshold Effect Concentration or Lowest Effect Level.</p><p class=\"body\">Probable Effect Concentration Quotients provide a mechanism for comparing the concentrations of contaminant mixtures against effects-based biota data. Probable Effect Concentration Quotients were calculated for individual samples and compared to effects-based toxicity ranges. The toxicity-range categories used in this study were nontoxic (quotients &lt; 0.5) and toxic (quotients &gt; 0.5). Of the 546 individual samples for which Probable Effect Concentration Quotients were calculated, 469 (86 percent) were categorized as being nontoxic and 77 (14 percent) were categorized as being toxic. Bed-sediment samples with toxic Probable Effect Concentration Quotients were collected from Paint Creek, Galloway Creek, the main stem of the Clinton River, Big Beaver Creek, Red Run, Clinton River towards the mouth, Lake St. Clair along the western shore, and the St. Clair River near Sarnia.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065189","collaboration":"In cooperation with the Lake St. Clair Regional Monitoring Project","usgsCitation":"Rachol, C.M., and Button, D.T., 2006, Areal distribution and concentration of contaminants of concern in surficial streambed and lakebed sediments, Lake St. Clair and tributaries, Michigan, 1990-2003: U.S. Geological Survey Scientific Investigations Report 2006-5189, vi, 50 p., https://doi.org/10.3133/sir20065189.","productDescription":"vi, 50 p.","temporalStart":"1990-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":333691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9540,"rank":99,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5189/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.5,\n              43.45\n            ],\n            [\n              -83.5,\n              42.25\n            ],\n            [\n              -82.333333,\n              42.25\n            ],\n            [\n              -82.333333,\n              43.45\n            ],\n            [\n              -83.5,\n              43.45\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673e70","contributors":{"authors":[{"text":"Rachol, Cynthia M. 0000-0001-9984-3435 crachol@usgs.gov","orcid":"https://orcid.org/0000-0001-9984-3435","contributorId":3488,"corporation":false,"usgs":true,"family":"Rachol","given":"Cynthia","email":"crachol@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":290970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Button, Daniel T. 0000-0002-7479-884X dtbutton@usgs.gov","orcid":"https://orcid.org/0000-0002-7479-884X","contributorId":2084,"corporation":false,"usgs":true,"family":"Button","given":"Daniel","email":"dtbutton@usgs.gov","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290969,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}