{"pageNumber":"913","pageRowStart":"22800","pageSize":"25","recordCount":46734,"records":[{"id":76799,"text":"sir20065050 - 2006 - Vulnerability of recently recharged ground water in the High Plains aquifer to nitrate contamination","interactions":[],"lastModifiedDate":"2012-03-02T17:16:06","indexId":"sir20065050","displayToPublicDate":"2006-06-09T00:00:00","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":"2006-5050","title":"Vulnerability of recently recharged ground water in the High Plains aquifer to nitrate contamination","docAbstract":"Nitrate concentrations greater than background levels have been detected in ground water of the High Plains aquifer. Empirically based models and corresponding maps were developed that predict the vulnerability of the aquifer to nonpoint-source nitrate contamination. The models predict the probability of detecting nitrate concentrations larger than 4 milligrams per liter in ground water of the High Plains aquifer that was recharged during the last 50 years. The models were calibrated by correlating concentrations of nitrate in ground water from 336 wells that intercept recently recharged (less than 50 years) water with anthropogenic and hydrogeologic explanatory variables. Particle-tracking simulations delineated well-contributing areas and determined well-screen depths that intercept recently recharged ground water. The models were developed using multivariate logistic regression, and a map was generated from these models using a geographic information system. Two multivariate logistic regression models of vulnerability were found to have the most statistical significance and the best model fit and predictive ability. The two models represent the Northern High Plains and the combined Central and Southern High Plains, and they indicate that ground-water vulnerability of the entire High Plains aquifer is best explained by the spatial distribution of nonirrigated and irrigated agricultural lands, organic matter of the soil, depth to the regional water table, and clay content of the unsaturated zone. Vulnerability of the Northern High Plains is greater in areas that have more nonirrigated and irrigated agricultural lands and less organic matter in the soil. The vulnerability of the Central and Southern High Plains also is greater in areas that have more nonirrigated and irrigated agricultural lands and also in areas with shallow depths to water table and less clay in the unsaturated zone. The majority (53.3 percent) of the High Plains aquifer has less than a 40-percent predicted probability of nitrate concentrations larger than 4 milligrams per liter. Approximately 21.1 percent of the High Plains aquifer has a relatively high (greater than 60 percent) predicted probability of nitrate concentrations greater than or equal to 4 milligrams per liter. Areas with relatively high predicted probability are located in the southwestern, southern, and eastern areas of the Northern High Plains, in the eastern arm of the Central High Plains, and in southern areas of the Southern High Plains. Areas of the aquifer with relatively low (less than 40 percent) predicted vulnerability to nitrate concentrations greater than or equal to 4 milligrams per liter are located in the northwestern and north-central areas of the Northern High Plains, the central and southern areas of the Central High Plains, and a band across the north-central part of the Southern High Plains. Uncertainty of these vulnerability predictions was estimated by Latin hypercube sampling to address propagation of model and data errors inherently associated with estimates of model coefficients and explanatory variables. Results of the Latin hypercube sampling simulations are presented as uncertainty maps of the lower 5th and upper 95th percentile of the output probability distribution, which represents the 90-percent prediction interval that contains the true probability of detecting nitrate greater than or equal to 4 milligrams per liter. Generally, these uncertainty maps show greater prediction uncertainty in areas with relatively higher predicted vulnerability and lower uncertainty in areas with relatively lower predicted vulnerability.","language":"ENGLISH","doi":"10.3133/sir20065050","usgsCitation":"Gurdak, J., and Qi, S.L., 2006, Vulnerability of recently recharged ground water in the High Plains aquifer to nitrate contamination: U.S. Geological Survey Scientific Investigations Report 2006-5050, vi, 39 p., https://doi.org/10.3133/sir20065050.","productDescription":"vi, 39 p.","numberOfPages":"45","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":337,"text":"High Plains Ground Water Program","active":false,"usgs":true}],"links":[{"id":124832,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5050.jpg"},{"id":7939,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5050/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cfe4b07f02db546069","contributors":{"authors":[{"text":"Gurdak, Jason J.","contributorId":65125,"corporation":false,"usgs":true,"family":"Gurdak","given":"Jason J.","affiliations":[],"preferred":false,"id":287923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287922,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76785,"text":"ofr20061143 - 2006 - Simulated water budgets and ground-water/surface-water interactions in Bushkill and parts of Monocacy Creek watersheds, Northampton County, Pennsylvania: A preliminary study with identification of data needs","interactions":[],"lastModifiedDate":"2022-12-01T19:33:14.011523","indexId":"ofr20061143","displayToPublicDate":"2006-06-08T00:00:00","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":"2006-1143","title":"Simulated water budgets and ground-water/surface-water interactions in Bushkill and parts of Monocacy Creek watersheds, Northampton County, Pennsylvania: A preliminary study with identification of data needs","docAbstract":"<p><span>This report, prepared in cooperation with the Department of Environmental Protection, Office of Mineral Resources Management, provides a preliminary analysis of water budgets and generalized ground-water/surface-water interactions for Bushkill and parts of Monocacy Creek watersheds in Northampton County, Pa., by use of a ground-water flow model. Bushkill Creek watershed was selected for study because it has areas of rapid growth, ground-water withdrawals from a quarry, and proposed stream-channel modifications, all of which have the potential for altering ground-water budgets and the interaction between ground water and streams.&nbsp;</span><br><br><span>Preliminary 2-dimensional, steady-state simulations of ground-water flow by the use of MODFLOW are presented to show the status of work through September 2005 and help guide ongoing data collection in Bushkill Creek watershed. Simulations were conducted for (1) predevelopment conditions, (2) a water table lowered for quarry operations, and (3) anthropogenic changes in hydraulic conductivity of the streambed and aquifer. Preliminary results indicated under predevelopment conditions, the divide between the Bushkill and Monocacy Creek ground-water basins may not have been coincident with the topographic divide and as much as 14 percent of the ground-water discharge to Bushkill Creek may have originated from recharge in the Monocacy Creek watershed. For simulated predevelopment conditions, Schoeneck Creek and parts of Monocacy Creek were dry, but Bushkill Creek was gaining throughout all reaches.<span>&nbsp;</span></span><br><br><span>Simulated lowering of the deepest quarry sump to an altitude of 147 feet for quarry operations caused ground-water recharge and streamflow leakage to be diverted to the quarry throughout about 14 square miles and caused reaches of Bushkill and Little Bushkill Creeks to change from gaining to losing streams. Lowering the deepest quarry sump to an altitude of 100 feet caused simulated ground-water discharge to the quarry to increase about 4 cubic feet per second. Raising the deepest sump to an altitude of 200 feet caused the simulated discharge to the quarry to decrease about 14 cubic feet per second.Decreasing the hydraulic conductivity of the streambed of Bushkill Creek in the reach of large losses of flow caused simulated ground-water levels to decline and ground-water discharge to a quarry to decrease from 74 to 45 cubic feet per second.</span><br><br><span>Decreasing the hydraulic conductivity of a hypothesized highly transmissive zone with a plug of relatively impermeable material caused ground-water levels to increase east of the plug and decline west of the plug, and decreased the discharge to a quarry from 74 to 53 cubic feet per second. Preliminary results of the study have significant limitations, which need to be recognized by the user. The results demonstrated the usefulness of ground-water modeling with available data sets, but as more data become available through field studies, a more complete evaluation could be conducted of the preliminary assumptions in the conceptual model, model sensitivity, and effects of boundary conditions. Additional streamflow and ground-water-level measurements would be needed to better quantify recharge and aquifer properties, particularly the anisotropy of carbonate rocks. Measurements of streamflow losses at average, steady-state hydrologic conditions could provide a more accurate estimate of ground-water recharge from this source, which directly affects water budgets and contributing areas simulated by the model.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061143","collaboration":"In cooperation with the Pennsylvania Department of Environmental Protection","usgsCitation":"Risser, D.W., 2006, Simulated water budgets and ground-water/surface-water interactions in Bushkill and parts of Monocacy Creek watersheds, Northampton County, Pennsylvania: A preliminary study with identification of data needs: U.S. Geological Survey Open-File Report 2006-1143, vi, 31 p., https://doi.org/10.3133/ofr20061143.","productDescription":"vi, 31 p.","onlineOnly":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":194763,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":409933,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76605.htm","linkFileType":{"id":5,"text":"html"}},{"id":7930,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1143/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Pennsylvania","county":"Lehigh County, Northampton 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Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287896,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76791,"text":"sir20055216 - 2006 - Synthesis of monthly and annual streamflow records (water years 1950-2003) for Big Sandy, Clear, Peoples, and Beaver Creeks in the Milk River basin, Montana","interactions":[],"lastModifiedDate":"2012-03-08T17:16:18","indexId":"sir20055216","displayToPublicDate":"2006-06-08T00:00:00","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":"2005-5216","title":"Synthesis of monthly and annual streamflow records (water years 1950-2003) for Big Sandy, Clear, Peoples, and Beaver Creeks in the Milk River basin, Montana","docAbstract":"To address concerns expressed by the State of Montana about the apportionment of water in the St. Mary and Milk River basins between Canada and the United States, the International Joint Commission requested information from the United States government about water that originates in the United States but does not cross the border into Canada.\r\n\r\nIn response to this request, the U.S. Geological Survey synthesized monthly and annual streamflow records for Big Sandy, Clear, Peoples, and Beaver Creeks, all of which are in the Milk River basin in Montana, for water years 1950-2003.\r\n\r\nThis report presents the synthesized values of monthly and annual streamflow for Big Sandy, Clear, Peoples, and Beaver Creeks in Montana. Synthesized values were derived from recorded and estimated streamflows. Statistics, including long-term medians and averages and flows for various exceedance probabilities, were computed from the synthesized data.\r\n\r\nBeaver Creek had the largest median annual discharge (19,490 acre-feet), and Clear Creek had the smallest median annual discharge (6,680 acre-feet). Big Sandy Creek, the stream with the largest drainage area, had the second smallest median annual discharge (9,640 acre-feet), whereas Peoples Creek, the stream with the second smallest drainage area, had the second largest median annual discharge (11,700 acre-feet). The combined median annual discharge for the four streams was 45,400 acre-feet. The largest combined median monthly discharge for the four creeks was 6,930 acre-feet in March, and the smallest combined median monthly discharge was 48 acre-feet in January. The combined median monthly values were substantially smaller than the average monthly values.\r\n\r\nOverall, synthesized flow records for the four creeks are considered to be reasonable given the prevailing climatic conditions in the region during the 1950-2003 base period. Individual estimates of monthly streamflow may have large errors, however.\r\n\r\nLinear regression was used to relate logarithms of combined annual streamflow to water years 1950-2003. The results of the regression analysis indicated a significant downward trend (regression line slope was -0.00977) for combined annual streamflow. A regression analysis using data from 1956-2003 indicated a slight, but not significant, downward trend for combined annual streamflow.","language":"ENGLISH","doi":"10.3133/sir20055216","usgsCitation":"Parrett, C., 2006, Synthesis of monthly and annual streamflow records (water years 1950-2003) for Big Sandy, Clear, Peoples, and Beaver Creeks in the Milk River basin, Montana: U.S. Geological Survey Scientific Investigations Report 2005-5216, iv, 23 p., https://doi.org/10.3133/sir20055216.","productDescription":"iv, 23 p.","numberOfPages":"27","onlineOnly":"Y","temporalStart":"1949-10-01","temporalEnd":"2003-09-30","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":124999,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2005_5216.jpg"},{"id":7935,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5216/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,47 ], [ -114,50 ], [ -105,50 ], [ -105,47 ], [ -114,47 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db687956","contributors":{"authors":[{"text":"Parrett, Charles","contributorId":9635,"corporation":false,"usgs":true,"family":"Parrett","given":"Charles","email":"","affiliations":[],"preferred":false,"id":287903,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76790,"text":"sir20065117 - 2006 - Comparison of macroinvertebrate community structure between two riffle-based sampling protocols in Wyoming, Colorado, and Montana, 2000-2001","interactions":[],"lastModifiedDate":"2012-03-08T17:16:18","indexId":"sir20065117","displayToPublicDate":"2006-06-08T00:00:00","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":"2006-5117","title":"Comparison of macroinvertebrate community structure between two riffle-based sampling protocols in Wyoming, Colorado, and Montana, 2000-2001","docAbstract":"Samples of benthic macroinvertebrates were collected side-by-side from riffles at 12 stream sites in Wyoming, Colorado, and Montana during 2000-2001, following protocols established by the U.S. Geological Survey National Water-Quality Assessment (NAWQA) Program and the U.S. Environmental Protection Agency Environmental Monitoring and Assessment Program (EMAP). Samples from riffles were collected following NAWQA protocols, using a sampler with 425-micron net mesh-opening size from a total area of 1.25 m2 per sample in multiple riffles. Samples also were collected following EMAP protocols, using a sampler with 500-micron net mesh-opening size from a total area of 0.72 m2 per sample in multiple riffles. The taxonomic identification and enumeration of the samples followed procedures established for each program. Benthic macroinvertebrate community structure was compared between the data sets using individual metrics, a multimetric index, and multivariate analysis.\r\n\r\nComparisons between the macroinvertebrate community structures were made after sequentially adjusting both data sets for: (1) ambiguous taxa, (2) taxonomic inconsistencies, and (3) differences in laboratory subsampling. After removal of ambiguous taxa, pair-wise differences in total taxa richness and Ephemeroptera taxa richness were statistically significant (p < 0.05). Differences between the data sets generally were not significant for richness of other taxa, tolerant taxa, semi-voltine taxa, functional feeding groups, diversity, and dominance. Sample scores calculated using the Wyoming Stream Integrity Index were not significantly different between the two data sets. After reconciling both data sets for taxonomic inconsistencies, total taxa richness and Ephemeroptera taxa richness remained significantly different between the data sets. After adjusting the data for differences in laboratory subsampling, the differences in taxa richness were no longer significant. Bray-Curtis similarity coefficients and non-metric multi-dimensional scaling were used to examine macroinvertebrate community structure. Similarity in community structure between sites was affected to a greater extent by taxa reconciliation than by adjustment for subsampling.","language":"ENGLISH","doi":"10.3133/sir20065117","usgsCitation":"Peterson, D.A., and Zumberge, J., 2006, Comparison of macroinvertebrate community structure between two riffle-based sampling protocols in Wyoming, Colorado, and Montana, 2000-2001: U.S. Geological Survey Scientific Investigations Report 2006-5117, v, 12 p., https://doi.org/10.3133/sir20065117.","productDescription":"v, 12 p.","numberOfPages":"17","onlineOnly":"Y","temporalStart":"2000-01-01","temporalEnd":"2001-12-31","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":124835,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5117.jpg"},{"id":7934,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5117/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aea69","contributors":{"authors":[{"text":"Peterson, David A. davep@usgs.gov","contributorId":1742,"corporation":false,"usgs":true,"family":"Peterson","given":"David","email":"davep@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":287901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zumberge, Jeremy R.","contributorId":94398,"corporation":false,"usgs":true,"family":"Zumberge","given":"Jeremy R.","affiliations":[],"preferred":false,"id":287902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76783,"text":"sir20065017 - 2006 - Frequency of annual maximum precipitation in the City of Charlotte and Mecklenburg County, North Carolina, through 2004","interactions":[],"lastModifiedDate":"2017-01-12T09:46:16","indexId":"sir20065017","displayToPublicDate":"2006-06-06T00:00:00","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":"2006-5017","title":"Frequency of annual maximum precipitation in the City of Charlotte and Mecklenburg County, North Carolina, through 2004","docAbstract":"A study of annual maximum precipitation frequency in Mecklenburg County, North Carolina, was conducted to characterize the frequency of precipitation at sites having at least 10 years of precipitation record. Precipitation-frequency studies provide information about the occurrence of precipitation amounts for given durations (for example, 1 hour or 24 hours) that can be expected to occur within a specified recurrence interval (expressed in years). In this study, annual maximum precipitation totals were determined for durations of 15 and 30 minutes; 1, 2, 3, 6, 12, and 24 hours; and for recurrence intervals of 2, 5, 10, 25, 50, 100, and 500 years.\r\n\r\nPrecipitation data collected by the U.S. Geological Survey network of raingages in the city of Charlotte and Mecklenburg County were analyzed for this study. In September 2004, more than 70 precipitation sites were in operation; 27 of these sites had at least 10 years of record, which is the minimum record typically required in frequency studies. Missing record at one site, however, resulted in its removal from the dataset. Two datasets--the Charlotte Raingage Network (CRN) initial and CRN modified datasets--were developed from the U.S. Geological Survey data, which represented relatively short periods of record (10 and 11 years). The CRN initial dataset included very high precipitation totals from two storms that caused severe flooding in areas of the city and county in August 1995 and July 1997, which could significantly influence the statistical results. The CRN modified dataset excluded the highest precipitation totals from these two storms but included the second highest totals.\r\n\r\n\r\nMore...","language":"ENGLISH","doi":"10.3133/sir20065017","usgsCitation":"Weaver, J., 2006, Frequency of annual maximum precipitation in the City of Charlotte and Mecklenburg County, North Carolina, through 2004: U.S. Geological Survey Scientific Investigations Report 2006-5017, v, 53 p., https://doi.org/10.3133/sir20065017.","productDescription":"v, 53 p.","numberOfPages":"58","temporalStart":"1988-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":192082,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7928,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5017/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","county":"Mecklenburg County","city":"Charlotte","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-80.7823,35.5113],[-80.7867,35.5031],[-80.7889,35.4949],[-80.7831,35.4836],[-80.7819,35.475],[-80.7779,35.4668],[-80.7778,35.4614],[-80.7744,35.4578],[-80.7549,35.423],[-80.7525,35.4148],[-80.7553,35.4125],[-80.7638,35.4134],[-80.7693,35.402],[-80.7551,35.3944],[-80.7364,35.3786],[-80.7187,35.3624],[-80.704,35.3552],[-80.6983,35.3507],[-80.6822,35.3131],[-80.6677,35.2705],[-80.6214,35.2499],[-80.5954,35.2369],[-80.5485,35.2108],[-80.6245,35.1487],[-80.7328,35.0627],[-80.7645,35.0375],[-80.7684,35.0348],[-80.7746,35.0329],[-80.7858,35.0315],[-80.7892,35.0314],[-80.8009,35.0286],[-80.8155,35.0204],[-80.8194,35.019],[-80.8216,35.018],[-80.8216,35.0167],[-80.8288,35.0098],[-80.835,35.0061],[-80.8405,35.0016],[-80.8604,35.0246],[-80.8854,35.0535],[-80.9016,35.0716],[-80.9312,35.1049],[-80.9373,35.1018],[-81.0383,35.0452],[-81.0419,35.0432],[-81.0447,35.0468],[-81.0464,35.0482],[-81.0483,35.0507],[-81.0503,35.0527],[-81.0528,35.0557],[-81.0548,35.0582],[-81.0568,35.0611],[-81.0577,35.0636],[-81.0586,35.067],[-81.0582,35.0722],[-81.0577,35.0788],[-81.0566,35.0834],[-81.0554,35.0868],[-81.0541,35.0904],[-81.0533,35.0927],[-81.0523,35.0956],[-81.0503,35.0975],[-81.0487,35.099],[-81.0462,35.1003],[-81.0437,35.1014],[-81.042,35.1022],[-81.0391,35.1027],[-81.0369,35.1036],[-81.0352,35.1054],[-81.0344,35.1072],[-81.0341,35.1095],[-81.0341,35.1136],[-81.0358,35.1186],[-81.0363,35.1213],[-81.038,35.124],[-81.0408,35.1267],[-81.0425,35.1281],[-81.0454,35.1289],[-81.0476,35.1295],[-81.0499,35.1302],[-81.051,35.1313],[-81.0521,35.1335],[-81.0523,35.1365],[-81.0517,35.1392],[-81.0501,35.142],[-81.0476,35.1463],[-81.0448,35.1494],[-81.0238,35.1486],[-81.0176,35.1536],[-81.0109,35.1532],[-81.0076,35.1569],[-81.0088,35.165],[-81.0049,35.1728],[-81.0045,35.1814],[-81.0046,35.1864],[-81.0063,35.1923],[-81.0064,35.1973],[-81.0054,35.2055],[-81.0071,35.2109],[-81.0129,35.2231],[-81.0113,35.2309],[-81.012,35.2349],[-81.0082,35.2509],[-81.0139,35.2585],[-81.0152,35.2685],[-81.0143,35.2876],[-81.0133,35.293],[-81.0105,35.2944],[-81.0033,35.3017],[-81.0022,35.3045],[-80.9961,35.3113],[-80.9938,35.3132],[-80.9894,35.3205],[-80.9844,35.3237],[-80.9805,35.3287],[-80.9823,35.3341],[-80.984,35.3373],[-80.9818,35.3446],[-80.9706,35.3501],[-80.9656,35.3506],[-80.9593,35.3489],[-80.9537,35.3521],[-80.9442,35.3521],[-80.9374,35.3572],[-80.9285,35.3614],[-80.9268,35.3627],[-80.9296,35.3636],[-80.9432,35.3658],[-80.9505,35.3675],[-80.9563,35.3738],[-80.9597,35.3756],[-80.9625,35.3756],[-80.9647,35.3738],[-80.9669,35.3688],[-80.9697,35.3669],[-80.9742,35.3642],[-80.9776,35.3646],[-80.9844,35.3695],[-80.9868,35.38],[-80.9846,35.3822],[-80.9806,35.3823],[-80.9761,35.3828],[-80.9632,35.3901],[-80.9554,35.3925],[-80.9549,35.4006],[-80.959,35.4133],[-80.9569,35.4288],[-80.9587,35.436],[-80.9527,35.446],[-80.9465,35.4524],[-80.9421,35.457],[-80.9432,35.4602],[-80.9506,35.4656],[-80.9518,35.4701],[-80.948,35.481],[-80.947,35.486],[-80.951,35.4942],[-80.9612,35.4986],[-80.9664,35.509],[-80.9637,35.5131],[-80.9586,35.5163],[-80.9569,35.5177],[-80.7823,35.5113]]]},\"properties\":{\"name\":\"Mecklenburg\",\"state\":\"NC\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a86a3","contributors":{"authors":[{"text":"Weaver, J. Curtis","contributorId":42260,"corporation":false,"usgs":true,"family":"Weaver","given":"J. Curtis","affiliations":[],"preferred":false,"id":287892,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76780,"text":"ofr20061097 - 2006 - GDA (Geologic Data Assistant), an ArcPad extension for geologic mapping: code, prerequisites, and instructions","interactions":[],"lastModifiedDate":"2012-02-02T00:14:07","indexId":"ofr20061097","displayToPublicDate":"2006-06-06T00:00:00","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":"2006-1097","title":"GDA (Geologic Data Assistant), an ArcPad extension for geologic mapping: code, prerequisites, and instructions","docAbstract":"GDA (Geologic Data Assistant) is an extension to ArcPad, a mobile mapping software program by Environmental Systems Research Institute (ESRI) designed to run on personal digital assistant (PDA) computers. GDA and ArcPad allow a PDA to replace the paper notebook and field map traditionally used for geologic mapping. GDA allows easy collection of field data.","language":"ENGLISH","doi":"10.3133/ofr20061097","usgsCitation":"Evan E. Thoms and Ralph A. Haugerud, 2006, GDA (Geologic Data Assistant), an ArcPad extension for geologic mapping: code, prerequisites, and instructions: U.S. Geological Survey Open-File Report 2006-1097, Unpaginated; software application, https://doi.org/10.3133/ofr20061097.","productDescription":"Unpaginated; software application","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":526,"text":"Pacific Northwest Geologic Mapping and Urban Hazards","active":false,"usgs":true}],"links":[{"id":192334,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7921,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2006/1097/GDA_PC_Install.zip"},{"id":7922,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2006/1097/GDA_OFR2006-1097.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7923,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2006/1097/GDA_For_PPC.CAB"},{"id":7920,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1097/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4258","contributors":{"authors":[{"text":"Evan E. Thoms and Ralph A. Haugerud","contributorId":127970,"corporation":true,"usgs":false,"organization":"Evan E. Thoms and Ralph A. Haugerud","id":534785,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76782,"text":"ofr20061022 - 2006 - Alaska resource data file: Mount Katmai quadrangle","interactions":[],"lastModifiedDate":"2025-05-22T19:27:45.646676","indexId":"ofr20061022","displayToPublicDate":"2006-06-06T00:00:00","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":"2006-1022","title":"Alaska resource data file: Mount Katmai quadrangle","docAbstract":"<p>This report gives descriptions of the mineral occurrences in the Mount Katmai 1:250,000-scale quadrangle, Alaska. The data presented here are maintained as part of a statewide database on mines, prospects and mineral occurrences throughout Alaska.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061022","usgsCitation":"Wilson, F.H., Church, S.E., and Bickerstaff, D.P., 2006, Alaska resource data file: Mount Katmai quadrangle: U.S. Geological Survey Open-File Report 2006-1022, 55 p., https://doi.org/10.3133/ofr20061022.","productDescription":"55 p.","numberOfPages":"55","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":195673,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":486398,"rank":5,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/of/2006/1022/of20061022.pdf","text":"Report","size":"309 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2006-1022 PDF"},{"id":8373,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1022/","linkFileType":{"id":5,"text":"html"}},{"id":390490,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_77311.htm"},{"id":7925,"rank":4,"type":{"id":18,"text":"Project Site"},"url":"https://doi.org/10.5066/P96MMRFD","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Katmai quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156,58 ], [ -156,59 ], [ -154,59 ], [ -154,58 ], [ -156,58 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e479de4b07f02db492204","contributors":{"authors":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":287890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":287889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bickerstaff, Damon P.","contributorId":104940,"corporation":false,"usgs":true,"family":"Bickerstaff","given":"Damon","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":287891,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76767,"text":"ds166 - 2006 - Major and trace elements in 35 lake and reservoir sediment cores from across the United States, 1994-2001","interactions":[],"lastModifiedDate":"2016-08-24T17:16:36","indexId":"ds166","displayToPublicDate":"2006-06-06T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"166","title":"Major and trace elements in 35 lake and reservoir sediment cores from across the United States, 1994-2001","docAbstract":"<p>This report presents data on major and trace element concentrations in sediment cores collected from 35 lakes and reservoirs during 1994-2001. The lakes and reservoirs are located in or near 18 major urban areas across the United States and provide a geographically diverse coverage of urban land use for the country as well as some reference settings. 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,{"id":76765,"text":"ds179 - 2006 - Channel gains and losses in the Opequon Creek watershed of West Virginia, July 25-28, 2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:21","indexId":"ds179","displayToPublicDate":"2006-06-06T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"179","title":"Channel gains and losses in the Opequon Creek watershed of West Virginia, July 25-28, 2005","docAbstract":"Discharge measurements were made during July 25-28, 2005, in streams and springs and at a wastewater-treatmentplant outfall in the Opequon Creek watershed of West Virginia to describe surface-water resources during low-flow. The greatest spring discharge measured was 6,460 gallons per minute, but 11 of 31 springs inspected were not flowing. Stream discharge measurements obtained at 69 sites defined gaining (influent) and losing (effluent) channel reaches. Drainage areas were determined for the channel measurement sites, and gains and losses of flow along the channels were expressed in terms of flow per unit drainage area to the reach. The greatest gain measured for a channel reach was approximately 11,100 gallons per day per acre, and the greatest loss was approximately 8,420 gallons per day per acre.","language":"ENGLISH","doi":"10.3133/ds179","usgsCitation":"Evaldi, R.D., and Paybins, K.S., 2006, Channel gains and losses in the Opequon Creek watershed of West Virginia, July 25-28, 2005: U.S. Geological Survey Data Series 179, iv, 7 p., https://doi.org/10.3133/ds179.","productDescription":"iv, 7 p.","numberOfPages":"11","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2005-07-25","temporalEnd":"2005-07-28","costCenters":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":190650,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7905,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/ds179/pdf/Figure-1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7906,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/ds179/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e4e4b07f02db5e62aa","contributors":{"authors":[{"text":"Evaldi, Ronald D.","contributorId":103329,"corporation":false,"usgs":true,"family":"Evaldi","given":"Ronald","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":287851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paybins, Katherine S. 0000-0002-3967-5043 kpaybins@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-5043","contributorId":2805,"corporation":false,"usgs":true,"family":"Paybins","given":"Katherine","email":"kpaybins@usgs.gov","middleInitial":"S.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287850,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76762,"text":"wdrNJ051 - 2006 - Water resources data, New Jersey, water year 2005. Volume 1 - surface-water data","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"wdrNJ051","displayToPublicDate":"2006-06-05T00:00:00","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":"NJ-05-1","title":"Water resources data, New Jersey, water year 2005. Volume 1 - surface-water data","docAbstract":"Water-resources data for the 2005 water year for New Jersey are presented in three volumes, and consists of records of stage, discharge, and water-quality of streams; stage and contents of lakes and reservoirs; and water levels and water-quality of ground water. Volume 1 contains discharge records for 103 gaging stations; tide summaries at 28 tidal gaging stations; stage and contents at 34 lakes and reservoirs; and diversions from 50 surface-water sources. Also included are stage and discharge for 116 crest-stage partial-record stations, stage-only at 33 tidal crest-stage gages, and discharge for 155 low-flow partial-record stations. Locations of these sites are shown in figures 8-11. Additional discharge measurements were made at 222 miscellaneous sites that are not part of the systematic data-collection program. Discontinued station tables for gaging stations, crest-stage gages, tidal crest-stage and tidal gaging stations show historical coverage. The data in this report represent that part of the National Water Information System (NWIS) data collected by the United States Geological Survey (USGS). Hydrologic conditions are also described for this water year, including stream-flow, precipitation, reservoir conditions, and air temperatures.","language":"ENGLISH","doi":"10.3133/wdrNJ051","usgsCitation":"White, B., Hoppe, H., Centinaro, G., Dudek, J., Painter, B., Protz, A., Reed, T., Shvanda, J., and Watson, A., 2006, Water resources data, New Jersey, water year 2005. Volume 1 - surface-water data: U.S. Geological Survey Water Data Report NJ-05-1, 408 p., https://doi.org/10.3133/wdrNJ051.","productDescription":"408 p.","numberOfPages":"408","temporalStart":"2004-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":195672,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7890,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/2005/wdr-nj-05-1/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f5e4b07f02db5f0f2b","contributors":{"authors":[{"text":"White, B.T.","contributorId":9710,"corporation":false,"usgs":true,"family":"White","given":"B.T.","email":"","affiliations":[],"preferred":false,"id":287839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoppe, H.L.","contributorId":36994,"corporation":false,"usgs":true,"family":"Hoppe","given":"H.L.","email":"","affiliations":[],"preferred":false,"id":287843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Centinaro, G.L.","contributorId":61892,"corporation":false,"usgs":true,"family":"Centinaro","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":287845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dudek, J.F.","contributorId":31818,"corporation":false,"usgs":true,"family":"Dudek","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":287841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Painter, B.S.","contributorId":50987,"corporation":false,"usgs":true,"family":"Painter","given":"B.S.","email":"","affiliations":[],"preferred":false,"id":287844,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Protz, A.R.","contributorId":97976,"corporation":false,"usgs":true,"family":"Protz","given":"A.R.","affiliations":[],"preferred":false,"id":287847,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, T.J. 0000-0002-9943-4081","orcid":"https://orcid.org/0000-0002-9943-4081","contributorId":15224,"corporation":false,"usgs":true,"family":"Reed","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":287840,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shvanda, J.C.","contributorId":34999,"corporation":false,"usgs":true,"family":"Shvanda","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":287842,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Watson, A.F.","contributorId":85653,"corporation":false,"usgs":true,"family":"Watson","given":"A.F.","email":"","affiliations":[],"preferred":false,"id":287846,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":76763,"text":"wdrNJ052 - 2006 - Water resources data, New Jersey, water year 2005.Volume 2 - ground-water data","interactions":[],"lastModifiedDate":"2012-03-08T17:16:18","indexId":"wdrNJ052","displayToPublicDate":"2006-06-05T00:00:00","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":"NJ-05-2","title":"Water resources data, New Jersey, water year 2005.Volume 2 - ground-water data","docAbstract":"Water-resources data for the 2005 water year for New Jersey are presented in three volumes, and consists of records of stage, discharge, and water quality of streams: stage, contents, and water quality of lakes and reservoirs; and water levels and water quality of ground water. Volume 2 contains a summary of the hydrologic conditions for 2005 water year; a listing of current water resource projects in New Jersey; a bibliography of water-related reports, articles, and fact sheets completed by the Geological Survey in recent years; records of ground-water levels from 214 wells; and a table of discontinued observation wells for which ground-water-level data are available. The locations of the ground-water level sites are shown on figure 4. These data represent that part of the National Water Data System operated by the U.S. Geological Survey and cooperating Federal, State, and local agencies in New Jersey.","language":"ENGLISH","doi":"10.3133/wdrNJ052","usgsCitation":"Jones, W.D., 2006, Water resources data, New Jersey, water year 2005.Volume 2 - ground-water data: U.S. Geological Survey Water Data Report NJ-05-2, 269 p., https://doi.org/10.3133/wdrNJ052.","productDescription":"269 p.","numberOfPages":"269","temporalStart":"2004-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":193151,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7891,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/2005/wdr-nj-05-2/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f5e4b07f02db5f0f9c","contributors":{"authors":[{"text":"Jones, Walter D.","contributorId":106460,"corporation":false,"usgs":true,"family":"Jones","given":"Walter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":287848,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202244,"text":"70202244 - 2006 - Refined thorium abundances for lunar red spots: Implications for evolved, nonmare volcanism on the Moon","interactions":[],"lastModifiedDate":"2019-02-18T09:07:23","indexId":"70202244","displayToPublicDate":"2006-06-01T09:05:46","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Refined thorium abundances for lunar red spots: Implications for evolved, nonmare volcanism on the Moon","docAbstract":"<p><span>We have used improved knowledge of the spatial distribution of thorium (Th) on the lunar surface, in conjunction with a forward modeling analysis of Lunar Prospector gamma ray data, to estimate the thorium abundances of lunar red spots. The results from this study can be combined with preexisting compositional and morphologic evidence to suggest that Hansteen Alpha, the Gruithuisen domes, and the Lassell massif are silicic, nonmare, volcanic constructs, similar in nature to terrestrial rhyolite domes. We propose that either silicate liquid immiscibility or, more likely, basaltic underplating could have produced lunar rhyolite domes. Thus the Lunar Prospector data presented in this study provide new information about the full range of volcanic and crustal processes that could have occurred on the Moon.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2005JE002592","usgsCitation":"Hagerty, J., Lawrence, D.J., Hawke, B.R., Vaniman, D.T., Elphic, R., and Feldman, W.C., 2006, Refined thorium abundances for lunar red spots: Implications for evolved, nonmare volcanism on the Moon: Journal of Geophysical Research E: Planets, v. 111, no. E6, 20 p., https://doi.org/10.1029/2005JE002592.","productDescription":"20 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":477330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2005je002592","text":"Publisher Index Page"},{"id":361311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","volume":"111","issue":"E6","noUsgsAuthors":false,"publicationDate":"2006-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":757463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, D. J.","contributorId":84952,"corporation":false,"usgs":false,"family":"Lawrence","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":757464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawke, B. R.","contributorId":59591,"corporation":false,"usgs":false,"family":"Hawke","given":"B.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":757465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vaniman, D. T.","contributorId":22911,"corporation":false,"usgs":true,"family":"Vaniman","given":"D.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":757466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elphic, R.C.","contributorId":101061,"corporation":false,"usgs":true,"family":"Elphic","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":757467,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feldman, William C.","contributorId":61733,"corporation":false,"usgs":true,"family":"Feldman","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":757468,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70159348,"text":"70159348 - 2006 - CLICK: The new USGS center for LIDAR information coordination and knowledge","interactions":[],"lastModifiedDate":"2017-05-16T16:08:52","indexId":"70159348","displayToPublicDate":"2006-06-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"CLICK: The new USGS center for LIDAR information coordination and knowledge","docAbstract":"<p>Elevation data is rapidly becoming an important tool for the visualization and analysis of geographic information. The creation and display of three-dimensional models representing bare earth, vegetation, and structures have become major requirements for geographic research in the past few years. Light Detection and Ranging (lidar) has been increasingly accepted as an effective and accurate technology for acquiring high-resolution elevation data for bare earth, vegetation, and structures. Lidar is an active remote sensing system that records the distance, or range, of a laser fi red from an airborne or space borne platform such as an airplane, helicopter or satellite to objects or features on the Earth&rsquo;s surface. By converting lidar data into bare ground topography and vegetation or structural morphologic information, extremely accurate, high-resolution elevation models can be derived to visualize and quantitatively represent scenes in three dimensions. In addition to high-resolution digital elevation models (Evans et al., 2001), other lidar-derived products include quantitative estimates of vegetative features such as canopy height, canopy closure, and biomass (Lefsky et al., 2002), and models of urban areas such as building footprints and three-dimensional city models (Maas, 2001).</p>","language":"English","publisher":"ASPRS","usgsCitation":"Stoker, J.M., Greenlee, S.K., Gesch, D.B., and Menig, J.C., 2006, CLICK: The new USGS center for LIDAR information coordination and knowledge: Photogrammetric Engineering and Remote Sensing, v. 72, no. 6, p. 613-616.","productDescription":"4 p.","startPage":"613","endPage":"616","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310487,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://asprs.org/a/publications/pers/2006journal/june/"}],"volume":"72","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562a08b5e4b011227bf1fd37","contributors":{"authors":[{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greenlee, Susan K. sgreenlee@usgs.gov","contributorId":3326,"corporation":false,"usgs":true,"family":"Greenlee","given":"Susan","email":"sgreenlee@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":578117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":578118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Menig, Jordan C.","contributorId":51853,"corporation":false,"usgs":true,"family":"Menig","given":"Jordan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":578119,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":76759,"text":"sir20065034 - 2006 - Ground-water/surface-water interaction in nearshore areas of Three Lakes on the Grand Portage Reservation, northeastern Minnesota, 2003-04","interactions":[],"lastModifiedDate":"2016-04-01T16:02:51","indexId":"sir20065034","displayToPublicDate":"2006-06-01T00:00:00","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":"2006-5034","title":"Ground-water/surface-water interaction in nearshore areas of Three Lakes on the Grand Portage Reservation, northeastern Minnesota, 2003-04","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Grand Portage Band of Chippewa Indians, applied three techniques to assess ground-water/surface-water interaction in nearshore areas of three lakes (North, Teal, and Taylor) on the Grand Portage Reservation in northeastern Minnesota. At each lake, analyses of existing aerial photographs, in-situ temperature measurements of shoreline lake sediment, and chemical analyses of surface water and pore water were conducted. Surface-water and pore-water samples were analyzed for major constituents, nutrients, and stable isotopes of oxygen and hydrogen. Bulk precipitation samples were collected and analyzed (1) for nutrient concentrations to determine nutrient input to the lakes through atmospheric deposition and (2)&nbsp;for stable isotope ratios of oxygen and hydrogen to determine a meteoric waterline that was needed for the stable isotope analyses of surface-water and pore-water samples.</p>\n<p>Total nitrogen concentrations in the precipitation samples ranged from 0.51 to 8.4 mg/L (milligrams per liter) as nitrogen at the North Lake precipitation station and from 0.42 to 2.3&nbsp;mg/L as nitrogen at the Grand Portage precipitation station. Oxygen-18/oxygen-16 and deuterium/protium isotope ratios for the bulk precipitation samples lie relatively close to a meteoric waterline for northern Wisconsin, except for the ratios for samples collected on May 20, 2004.</p>\n<p>Analyses of existing aerial photographs, nearshore lake-sediment temperatures, and seasonal isotope ratios of surface-water and pore-water samples were the most valuable data for identifying locations of ground-water inflow and surface-water outseepage. Analyses of existing aerial photographs of the three lakes indicated the location of potential inflow channels and lineaments identifying potential ground-water inflow locations for pore-water sampling. Lake-sediment temperatures at potential ground-water inflow locations ranged from 4 to 16&nbsp;&ordm;C, varying between lakes, seasons, and climatic conditions. Major constituent chemistry was valuable at Taylor Lake, and to a limited extent at North and Teal Lakes, in confirming&nbsp;results from the isotope and lake-sediment temperature&nbsp;data.</p>\n<p>Ground-water inflow to North Lake likely occurs along the southwest and south shores, and along portions of the west, southeast, north, and northeast shores. Relatively cool lake-sediment temperatures along the southwest, south, west, and southeast shores, and in isolated beaver channels along the north and northeast shores of North Lake indicate potential ground-water inflow at these locations. Both localized ground-water inflow and surface-water outseepage occurs along portions of the north, northeast, southeast, and south shores, varying seasonally. Conflicting evidence for ground-water flow conditions exist for the northwest and north-northwest&nbsp;pore-water samples. Only minor differences in the major constituent concentrations were seen between the surface-water and pore-water samples from the North Lake area with the exception of iron and manganese concentrations.<br />Ground-water inflow likely takes place along the south-southwest and north shores of Teal Lake, with a mixture of ground-water inflow and surface-water outseepage occurring in other areas of the lake. Cooler lake-sediment temperatures occurred along the south-southwest, west, and northwest shores, portions of the north shore, and in channels identified in aerial photographs throughout the lake, indicating potential ground-water inflow at those locations. Warmer lake-sediment temperatures along the northeast and portions of the southwest and northwest shores of Teal Lake indicate potential locations where surface-water outseepage or little ground- and surface-water interaction occurs. The major constituent concentrations were higher in the pore-water samples collected from the south-southwest and northeast shores of Teal Lake, indicating ground-water inflow. Cation adsorption, cation exchanges with hydrogen ions, and chelation with organic materials occurring in the fen surrounding the lake likely resulted in the low dissolved calcium, magnesium, and sodium concentrations in north, northwest, and west pore-water samples from the Teal Lake area. Pore-water samples from the south-southwest, north, and southwest shores of Teal Lake had isotopic compositions that plotted closest to the meteoric waterline, indicating that little evaporation or transpiration occurred in these samples and that ground-water inflow may be occurring at these locations. Surface-water outseepage from Teal Lake likely occurs along the northeast shore even though major constituent&nbsp;concentrations were high. Major constituent concentrations may be high because of a nearby beaver dam.</p>\n<p>Ground-water inflow to Taylor Lake likely occurs at the north and south pore-water sampling sites. Higher major constituent concentrations and the least evaporative isotope ratios were found in pore-water samples along the south, north, and west shores of Taylor Lake, indicating potential locations of ground-water inflow. However, a combination of warmer and cooler lake-sediment temperatures along the west lowland indicated that ground-water inflow and surface-water outseepage may occur at that location. Surface-water outseepage likely occurs from Taylor Lake along the south shore through a surface-water drainage channel to a downgradient bog. Warmer lake-sediment temperatures along portions of the south and southeast shores indicate that surface-water outseepage may occur at those locations. Both ground-water inflow and surface-water outseepage may occur along the west, southeast, and east shores of Taylor Lake, varying seasonally and with local precipitation.</p>\n<p>Knowledge of general water-flow directions in lake watersheds and how they may change seasonally can help water-quality specialists and lake managers address a variety of water-quality and aquatic habitat protection issues for lakes. Results from this study indicate that ground-water and surface-water interactions at the study lakes are complex, and&nbsp;the ability of the applied techniques to identify ground-water inflow and surface-water outseepage locations varied among the lakes. Measurement of lake-sediment temperatures proved to be a reliable and relatively inexpensive reconnaissance technique that lake managers may apply in complex settings to identify general areas of ground-water inflow and surface-water outseepage.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065034","collaboration":"Prepared in cooperation with the Grand Portage Band of Chippewa Indians","usgsCitation":"Jones, P.M., 2006, Ground-water/surface-water interaction in nearshore areas of Three Lakes on the Grand Portage Reservation, northeastern Minnesota, 2003-04: U.S. Geological Survey Scientific Investigations Report 2006-5034, vi, 49 p., https://doi.org/10.3133/sir20065034.","productDescription":"vi, 49 p.","numberOfPages":"56","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2003-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":392,"text":"Minnesota Water Science 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,{"id":76758,"text":"wdrNHVT051 - 2006 - Water resources data for New Hampshire and Vermont, water year 2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"wdrNHVT051","displayToPublicDate":"2006-06-01T00:00:00","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":"NH-VT-05-1","title":"Water resources data for New Hampshire and Vermont, water year 2005","docAbstract":"Water-resources data for the 2005 water year for New Hampshire and Vermont consists of stage, discharge, and water quality of streams; contents of lakes and reservoirs; and ground-water levels. This report contains discharge records for 78 gaging stations, stage records for 5 lakes, monthend contents for 2 lakes and reservoirs, water levels for 37 observation wells. Also included are data for 37 crest-stage partial-record stations. Additional water data were collected at various sites, which are not part of the systematic data-collection program and are published as miscellaneous measurements for gaging stations in New Hampshire and Vermont. These data represent that portion of the National Water Data System operated by the U.S. Geological Survey and cooperating State and Federal agencies in New Hampshire and Vermont.\r\n","language":"ENGLISH","doi":"10.3133/wdrNHVT051","usgsCitation":"Kiah, R.G., Keirstead, C., Brown, R.O., and Hilgendorf, G.S., 2006, Water resources data for New Hampshire and Vermont, water year 2005: U.S. Geological Survey Water Data Report NH-VT-05-1, xv, 299 p., https://doi.org/10.3133/wdrNHVT051.","productDescription":"xv, 299 p.","numberOfPages":"214","onlineOnly":"Y","temporalStart":"2004-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":195646,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7882,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/2005/wdr-nh-05-1/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f2996","contributors":{"authors":[{"text":"Kiah, Richard G. 0000-0001-6236-2507 rkiah@usgs.gov","orcid":"https://orcid.org/0000-0001-6236-2507","contributorId":2637,"corporation":false,"usgs":true,"family":"Kiah","given":"Richard","email":"rkiah@usgs.gov","middleInitial":"G.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keirstead, Chandlee","contributorId":10862,"corporation":false,"usgs":true,"family":"Keirstead","given":"Chandlee","email":"","affiliations":[],"preferred":false,"id":287831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Robert O. robrown@usgs.gov","contributorId":3942,"corporation":false,"usgs":true,"family":"Brown","given":"Robert","email":"robrown@usgs.gov","middleInitial":"O.","affiliations":[],"preferred":true,"id":287829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hilgendorf, Gregory S. gshilgen@usgs.gov","contributorId":5144,"corporation":false,"usgs":true,"family":"Hilgendorf","given":"Gregory","email":"gshilgen@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":287830,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":76755,"text":"ofr20061092 - 2006 - Identification and extraction of the seaward edge of terrestrial vegetation using digital aerial photography","interactions":[],"lastModifiedDate":"2012-02-02T00:14:24","indexId":"ofr20061092","displayToPublicDate":"2006-06-01T00:00:00","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":"2006-1092","title":"Identification and extraction of the seaward edge of terrestrial vegetation using digital aerial photography","docAbstract":"This report is created as part of the Aerial Data Collection and Creation of Products for Park Vital Signs Monitoring within the Northeast Region Coastal and Barrier Network project, which is a joint project between the National Park Service Inventory and Monitoring Program (NPS-IM), the National Aeronautics and Space Administration (NASA) Observational Sciences Branch, and the U.S. Geological Survey (USGS) Center for Coastal and Watershed Studies (CCWS). This report is one of a series that discusses methods for extracting topographic features from aerial survey data. It details step-by-step methods used to extract a spatially referenced digital line from aerial photography that represents the seaward edge\r\nof terrestrial vegetation along the coast of Assateague Island National Seashore (ASIS). One component of the NPS-IM/USGS/NASA project includes the collection of\r\nNASA aerial surveys over various NPS barrier islands and coastal parks throughout the National Park Service's Northeast Region. These aerial surveys consist of collecting optical remote sensing data from a variety of sensors, including the NASA Airborne Topographic Mapper (ATM), the NASA Experimental Advanced Airborne\r\nResearch Lidar (EAARL), and down-looking digital mapping cameras.","language":"ENGLISH","doi":"10.3133/ofr20061092","usgsCitation":"Harris, M., Brock, J., Nayegandhi, A., Duffy, M., and Wright, C.W., 2006, Identification and extraction of the seaward edge of terrestrial vegetation using digital aerial photography: U.S. Geological Survey Open-File Report 2006-1092, ii, 26 p., https://doi.org/10.3133/ofr20061092.","productDescription":"ii, 26 p.","onlineOnly":"Y","costCenters":[{"id":159,"text":"Center for Coastal and Watershed Studies","active":false,"usgs":true}],"links":[{"id":195644,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7879,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1092/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688b03","contributors":{"authors":[{"text":"Harris, Melanie","contributorId":45798,"corporation":false,"usgs":true,"family":"Harris","given":"Melanie","affiliations":[],"preferred":false,"id":287822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":287821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nayegandhi, A.","contributorId":95578,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"A.","affiliations":[],"preferred":false,"id":287825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duffy, M.","contributorId":62702,"corporation":false,"usgs":true,"family":"Duffy","given":"M.","affiliations":[],"preferred":false,"id":287824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":287823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":76749,"text":"sir20055084 - 2006 - Physical and hydrochemical evidence of lake leakage near Jim Woodruff Lock and Dam and of ground-water inflow to Lake Seminole, and an assessment of karst features in and near the lake, southwestern Georgia and northwestern Florida","interactions":[],"lastModifiedDate":"2022-01-20T22:26:29.752709","indexId":"sir20055084","displayToPublicDate":"2006-05-30T00:00:00","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":"2005-5084","title":"Physical and hydrochemical evidence of lake leakage near Jim Woodruff Lock and Dam and of ground-water inflow to Lake Seminole, and an assessment of karst features in and near the lake, southwestern Georgia and northwestern Florida","docAbstract":"<p>Hydrogeologic data and water-chemistry analyses indicate that Lake Seminole leaks into the Upper Floridan aquifer near Jim Woodruff Lock and Dam, southwestern Georgia and northwestern Florida, and that ground water enters Lake Seminole along upstream reaches of the lake’s four impoundment arms (Chattahoochee and Flint Rivers, Spring Creek, and Fishpond Drain). Written accounts by U.S. Army Corps of Engineers geologists during dam construction in the late 1940s and early 1950s, and construction-era photographs, document karst-solution features in the limestone that comprise the lake bottom and foundation rock to the dam, and confirm the hydraulic connection of the lake and aquifer. More than 250 karst features having the potential to connect the lake and aquifer were identified from preimpoundment aerial photographs taken during construction. An interactive map containing a photomosaic of 53&nbsp;photographic negatives was orthorectfied to digital images of 1:24,000-scale topographic maps to aid in identifying karst features that function or have the potential to function as locations of water exchange between Lake Seminole and the Upper Floridan aquifer. Some identified karst features coincide with locations of mapped springs, spring runs, and depressions that are consistent with sinkholes and sinkhole ponds.</p><p>Hydrographic surveys using a multibeam echosounder (sonar) with sidescan sonar identified sinkholes in the lake bottom along the western lakeshore and in front of the dam. Dye-tracing experiments indicate that lake water enters these sinkholes and is transported through the Upper Floridan aquifer around the west side of the dam at velocities of about 500 feet per hour to locations where water \"boils up\" on land (at Polk Lake Spring) and in the channel bottom of the Apalachicola River (at the \"River Boil\"). Water discharging from Polk Lake Spring joins flow from a spring-fed ground-water discharge zone located downstream of the dam; the combined flow disappears into a sinkhole located on the western floodplain of the river and is transmitted through the Upper Floridan aquifer, eventually discharging to the Apalachicola River at the River Boil. Acoustic Doppler current profiling yielded flow estimates from the River Boil in the range from about 140 to 220 cubic feet per second, which represents from about 1 to 3 percent of the average daily flow in the river. Binary mixing-model analysis using naturally occurring isotopes of oxygen and hydrogen (oxygen-18 and deuterium) indicates that discharge from the River Boil consists of a 13-to-1 ratio of lake water to ground water and that other sources of lake leakage and discharge to the boil probably exist.</p><p>Analyses of major ions, nutrients, radon-222, and stable isotopes of hydrogen and oxygen contained in water samples collected from 29 wells, 7 lake locations, and 5 springs in the Lake Seminole area during 2000 indicate distinct chemical signatures for ground water and surface water. Ground-water samples contained higher concentrations of calcium and magnesium, and higher alkalinity and specific conductance than surface-water samples, which contained relatively high concentrations of total organic carbon and sulfate. Solute and isotopic tracers indicate that, from May to October 2000, springflow exhibited more ground-water qualities (high specific conductance, low dissolved oxygen, and low temperature) than surface water; however, the ratio of ground water to surface water of the springs was difficult to quantify from November to April because of reduced springflow and rapid mixing of springflow and lake water during sampling. The saturation index of calcite in surface-water samples indicates that while surface water is predominately undersaturated with regard to calcite year-round, a higher potential for dissolution of the limestone matrix exists from late fall through early spring than during summer.</p><p>The relatively short residence time (5–7 hours) and rapid flow velocity (nearly 500 feet per hour) of lake water leaking into the Upper Floridan aquifer and exiting at the River Boil in the Apalachicola River implies that calcite-undersaturated water is in constant contact with the limestone, increasing the potential for limestone dissolution and enlargement of flow pathways by erosion. A relatively low potential exists, however, for limestone dissolution to cause sudden sinkhole collapse followed by catastrophic lake drainage because ground-water levels close to the lake, except near the dam, are nearly the same as lake stage, resulting in low vertical and lateral hydraulic gradients and low flow between the lake and aquifer. An increased potential for lake leakage and sinkhole formation and collapse exists near some in-lake springs during colder months of the year, as density differences and the hydraulic potential between lake water and ground water establish the conditions for calcite-undersaturated lake water to enter nonflowing springs and contact limestone.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20055084","usgsCitation":"Torak, L.J., Crilley, D.M., and Painter, J.A., 2006, Physical and hydrochemical evidence of lake leakage near Jim Woodruff Lock and Dam and of ground-water inflow to Lake Seminole, and an assessment of karst features in and near the lake, southwestern Georgia and northwestern Florida: U.S. Geological Survey Scientific Investigations Report 2005-5084, ix, 80 p., https://doi.org/10.3133/sir20055084.","productDescription":"ix, 80 p.","numberOfPages":"89","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":192353,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7871,"rank":1000,"type":{"id":22,"text":"Related Work"},"url":"https://ga.water.usgs.gov/download/lakeseminole/lakeseminole.zip"},{"id":7870,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5084/","linkFileType":{"id":5,"text":"html"}},{"id":394633,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76596.htm"}],"country":"United States","state":"Florida, Georgia","otherGeospatial":"Jim Woodruff lock and dam, Lake Seminole","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85,\n              30.6667\n            ],\n            [\n              -84.5,\n              30.6667\n            ],\n            [\n              -84.5,\n              31\n            ],\n            [\n              -85,\n              31\n            ],\n            [\n              -85,\n              30.6667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db6486d9","contributors":{"authors":[{"text":"Torak, Lynn J. ljtorak@usgs.gov","contributorId":401,"corporation":false,"usgs":true,"family":"Torak","given":"Lynn","email":"ljtorak@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crilley, Dianna M. 0000-0003-0432-5948 dcrilley@usgs.gov","orcid":"https://orcid.org/0000-0003-0432-5948","contributorId":3896,"corporation":false,"usgs":true,"family":"Crilley","given":"Dianna","email":"dcrilley@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287798,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76751,"text":"sir20065106 - 2006 - Freshwater and saline loads of dissolved inorganic nitrogen to Hood Canal and Lynch Cove, western Washington","interactions":[],"lastModifiedDate":"2020-01-26T11:10:41","indexId":"sir20065106","displayToPublicDate":"2006-05-30T00:00:00","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":"2006-5106","title":"Freshwater and saline loads of dissolved inorganic nitrogen to Hood Canal and Lynch Cove, western Washington","docAbstract":"Hood Canal is a long (110 kilometers), deep (175 meters) and narrow (2 to 4 kilometers wide) fjord of Puget Sound in western Washington. The stratification of a less dense, fresh upper layer of the water column causes the cold, saltier lower layer of the water column to be isolated from the atmosphere in the late summer and autumn, which limits reaeration of the lower layer. In the upper layer of Hood Canal, the production of organic matter that settles and consumes dissolved oxygen in the lower layer appears to be limited by the load of dissolved inorganic nitrogen (DIN): nitrate, nitrite, and ammonia. Freshwater and saline loads of DIN to Hood Canal were estimated from available historical data. The freshwater load of DIN to the upper layer of Hood Canal, which could be taken up by phytoplankton, came mostly from surface and ground water from subbasins, which accounts for 92 percent of total load of DIN to the upper layer of Hood Canal. Although DIN in rain falling on land surfaces amounts to about one-half of the DIN entering Hood Canal from subbasins, rain falling directly on the surface of marine waters contributed only 4 percent of the load to the upper layer. Point-source discharges and subsurface flow from shallow shoreline septic systems contributed less than 4 percent of the DIN load to the upper layer. DIN in saline water flowing over the sill into Hood Canal from Admiralty Inlet was at least 17 times the total load to the upper layer of Hood Canal.\r\n\r\nIn September and October 2004, field data were collected to estimate DIN loads to Lynch Cove - the most inland marine waters of Hood Canal that routinely contain low dissolved-oxygen waters. Based on measured streamflow and DIN concentrations, surface discharge was estimated to have contributed about one-fourth of DIN loads to the upper layer of Lynch Cove. Ground-water flow from subbasins was estimated to have contributed about one-half of total DIN loads to the upper layer. In autumn 2004, the relative contribution of DIN from shallow shoreline septic systems to the upper layer was higher in Lynch Cove (23 percent) than in the entire Hood Canal. Net transport of DIN into Lynch Cove by marine currents was measured during August and October 2004-a time of high biological productivity. The net transport of lower-layer water into Lynch Cove was significantly diminished relative to the flow entering Hood Canal at its entrance. Even though the net transport of saline water into the lower layer of Lynch Cove was only 119 cubic meters per second, estuarine currents between 33 and 47 m were estimated to have carried more than 35 times the total freshwater load of DIN to the upper layer from surface and ground water, shallow shoreline septic systems, and direct atmospheric rainfall.\r\n\r\nThe subsurface maximums in measured turbidity, chlorophyll a, particulate organic carbon, and particulate organic nitrogen strongly suggest that the upward mixing of nitrate-rich deeper water is a limiting factor in supplying DIN to the upper layer that enhances marine productivity in Lynch Cove. The presence of phosphate in the upper layer in the absence of dissolved inorganic nitrogen also suggests that the biological productivity that leads to low dissolved-oxygen concentrations in the lower layer of Lynch Cove is limited by the supply of nitrogen rather than by phosphate loads. Although the near-shore zones of the shallow parts of Lynch Cove were sampled, a biogeochemical signal from terrestrial nitrogen was not found. Reversals in the normal estuarine circulation suggest that if the relative importance of the DIN load of freshwater terrestrial and atmospheric sources and the DIN load from transport of saline water by the estuarine circulation in controlling dissolved-oxygen concentrations in Lynch Cove is to be better understood, then the physical forces driving Hood Canal circulation must be better defined. ","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065106","collaboration":"Prepared in cooperation with the Hood Canal Dissolved Oxygen Program","usgsCitation":"Paulson, A.J., Konrad, C.P., Frans, L.M., Noble, M., Kendall, C., Josberger, E.G., Huffman, R.L., and Olsen, T.D., 2006, Freshwater and saline loads of dissolved inorganic nitrogen to Hood Canal and Lynch Cove, western Washington (Version 1.1, Revised Aug 2007): U.S. Geological Survey Scientific Investigations Report 2006-5106, viii, 93 p., https://doi.org/10.3133/sir20065106.","productDescription":"viii, 93 p.","numberOfPages":"104","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":194962,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7875,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5106/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.5,46 ], [ -124.5,49 ], [ -121,49 ], [ -121,46 ], [ -124.5,46 ] ] ] } } ] }","edition":"Version 1.1, Revised Aug 2007","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6aba1d","contributors":{"authors":[{"text":"Paulson, Anthony J. 0000-0002-2358-8834 apaulson@usgs.gov","orcid":"https://orcid.org/0000-0002-2358-8834","contributorId":5236,"corporation":false,"usgs":true,"family":"Paulson","given":"Anthony","email":"apaulson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":287810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frans, Lonna M. 0000-0002-3217-1862 lmfrans@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-1862","contributorId":1493,"corporation":false,"usgs":true,"family":"Frans","given":"Lonna","email":"lmfrans@usgs.gov","middleInitial":"M.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noble, Marlene","contributorId":29463,"corporation":false,"usgs":true,"family":"Noble","given":"Marlene","affiliations":[],"preferred":false,"id":287811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":287804,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Josberger, Edward G. ejosberg@usgs.gov","contributorId":1710,"corporation":false,"usgs":true,"family":"Josberger","given":"Edward","email":"ejosberg@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":287808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huffman, Raegan L. 0000-0001-8523-5439 rhuffman@usgs.gov","orcid":"https://orcid.org/0000-0001-8523-5439","contributorId":1638,"corporation":false,"usgs":true,"family":"Huffman","given":"Raegan","email":"rhuffman@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287806,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Olsen, Theresa D. 0000-0003-4099-4057 tdolsen@usgs.gov","orcid":"https://orcid.org/0000-0003-4099-4057","contributorId":1644,"corporation":false,"usgs":true,"family":"Olsen","given":"Theresa","email":"tdolsen@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287807,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178398,"text":"70178398 - 2006 - Downstream aggradation owing to lava dome extrusion and rainfall runoff at Volcán Santiaguito, Guatemala","interactions":[],"lastModifiedDate":"2016-11-16T13:12:58","indexId":"70178398","displayToPublicDate":"2006-05-26T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Downstream aggradation owing to lava dome extrusion and rainfall runoff at Volcán Santiaguito, Guatemala","docAbstract":"<p id=\"p-1\">Persistent lava extrusion at the Santiaguito dome complex (Guatemala) results in continuous lahar activity and river bed aggradation downstream of the volcano. We present a simple method that uses vegetation indices extracted from Landsat Thematic Mapper (TM) data to map impacted zones. Application of this technique to a time series of 21 TM images acquired between 1987 and 2000 allow us to map, measure, and track temporal and spatial variations in the area of lahar impact and river aggradation.</p><p id=\"p-2\">In the proximal zone of the fluvial system, these data show a positive correlation between extrusion rate at Santiaguito (E), aggradation area 12 months later (A<sub>prox</sub>), and rainfall during the intervening 12 months (Rain12): <i>A</i><sub>prox</sub>=3.92+0.50 E+0.31 ln(Rain12) (r<sup>2</sup>=0.79). This describes a situation in which an increase in sediment supply (extrusion rate) and/or a means to mobilize this sediment (rainfall) results in an increase in lahar activity (aggraded area). Across the medial zone, we find a positive correlation between extrusion rate and/or area of proximal aggradation and medial aggradation area (<i>A</i><sub>med</sub>): <i>A</i><sub>med</sub>=18.84-0.05 <i>A</i>prox - 6.15 Rain12 (<i>r</i><sup>2</sup>=0.85). Here the correlation between rainfall and aggradation area is negative. This describes a situation in which increased sediment supply results in an increase in lahar activity but, because it is the zone of transport, an increase in rainfall serves to increase the transport efficiency of rivers flowing through this zone. Thus, increased rainfall flushes the medial zone of sediment.</p><p id=\"p-3\">These quantitative data allow us to empirically define the links between sediment supply and mobilization in this fluvial system and to derive predictive relationships that use rainfall and extrusion rates to estimate aggradation area 12 months hence.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2006.2412(05)","usgsCitation":"Harris, A.J., Vallance, J.W., Kimberly, P., Rose, W., Matias, O., Bunzendahl, E., Flynn, L.P., and Garbeil, H., 2006, Downstream aggradation owing to lava dome extrusion and rainfall runoff at Volcán Santiaguito, Guatemala: GSA Special Papers, v. 412, p. 85-104, https://doi.org/10.1130/2006.2412(05).","productDescription":"20 p.","startPage":"85","endPage":"104","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":331078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guatemala","otherGeospatial":"Volcán Santiaguito","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.77978515625,\n              15.998295390404955\n            ],\n            [\n              -90.3131103515625,\n              15.464269084198357\n            ],\n            [\n              -90.75256347656249,\n              13.923403897723347\n            ],\n            [\n              -91.1920166015625,\n              13.902075852500483\n            ],\n            [\n              -91.58752441406249,\n              13.98204586611312\n            ],\n            [\n              -91.812744140625,\n              14.120594658156678\n            ],\n            [\n              -92.0489501953125,\n              14.306969497825788\n            ],\n            [\n              -92.2137451171875,\n              14.471915406528263\n            ],\n            [\n              -92.186279296875,\n              14.578267209240462\n            ],\n            [\n              -92.1368408203125,\n              14.626108798876839\n            ],\n            [\n              -92.142333984375,\n              14.764259178591587\n            ],\n            [\n              -92.17529296875,\n              14.854540884509145\n            ],\n            [\n              -92.10937499999999,\n              14.891704754215477\n            ],\n            [\n              -92.13134765625,\n              14.971320017312587\n            ],\n            [\n              -92.0819091796875,\n              15.019074989409148\n            ],\n            [\n              -92.0489501953125,\n              15.10394633500913\n            ],\n            [\n              -92.197265625,\n              15.262988555023204\n            ],\n            [\n              -91.77978515625,\n              15.998295390404955\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"412","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582dd8eae4b04d580bd3fa9b","contributors":{"authors":[{"text":"Harris, Andrew J. L.","contributorId":169434,"corporation":false,"usgs":false,"family":"Harris","given":"Andrew","email":"","middleInitial":"J. L.","affiliations":[],"preferred":false,"id":653960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":653961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimberly, Paul","contributorId":104993,"corporation":false,"usgs":true,"family":"Kimberly","given":"Paul","email":"","affiliations":[],"preferred":false,"id":653962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, William I.","contributorId":174117,"corporation":false,"usgs":false,"family":"Rose","given":"William I.","affiliations":[],"preferred":false,"id":653963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matias, Otoniel","contributorId":176913,"corporation":false,"usgs":false,"family":"Matias","given":"Otoniel","email":"","affiliations":[],"preferred":false,"id":653964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bunzendahl, Elly","contributorId":176914,"corporation":false,"usgs":false,"family":"Bunzendahl","given":"Elly","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":653965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flynn, Luke P.","contributorId":176915,"corporation":false,"usgs":false,"family":"Flynn","given":"Luke","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":653966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garbeil, Harold","contributorId":174447,"corporation":false,"usgs":false,"family":"Garbeil","given":"Harold","email":"","affiliations":[{"id":17202,"text":"University of Hawaii, Manoa","active":true,"usgs":false}],"preferred":false,"id":653967,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":76746,"text":"sir20065067 - 2006 - External quality-assurance results for the National Atmospheric Deposition Program / National Trends Network and Mercury Deposition Network, 2004","interactions":[],"lastModifiedDate":"2012-02-02T00:14:09","indexId":"sir20065067","displayToPublicDate":"2006-05-26T00:00:00","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":"2006-5067","title":"External quality-assurance results for the National Atmospheric Deposition Program / National Trends Network and Mercury Deposition Network, 2004","docAbstract":"The U.S. Geological Survey (USGS) used five programs to provide external quality-assurance monitoring for the National Atmospheric Deposition Program/National Trends Network (NADP/NTN) and two programs to provide external quality-assurance monitoring for the NADP/Mercury Deposition Network (NADP/MDN) during 2004. An intersite-comparison program was used to estimate accuracy and precision of field-measured pH and specific-conductance. The variability and bias of NADP/NTN data attributed to field exposure, sample handling and shipping, and laboratory chemical analysis were estimated using the sample-handling evaluation (SHE), field-audit, and interlaboratory-comparison programs. Overall variability of NADP/NTN data was estimated using a collocated-sampler program. Variability and bias of NADP/MDN data attributed to field exposure, sample handling and shipping, and laboratory chemical analysis were estimated using a system-blank program and an interlaboratory-comparison program.\r\n\r\nIn two intersite-comparison studies, approximately 89 percent of NADP/NTN site operators met the pH measurement accuracy goals, and 94.7 to 97.1 percent of NADP/NTN site operators met the accuracy goals for specific conductance. Field chemistry measurements were discontinued by NADP at the end of 2004. As a result, the USGS intersite-comparison program also was discontinued at the end of 2004.\r\n\r\nVariability and bias in NADP/NTN data due to sample handling and shipping were estimated from paired-sample concentration differences and specific conductance differences obtained for the SHE program. Median absolute errors (MAEs) equal to less than 3 percent were indicated for all measured analytes except potassium and hydrogen ion. Positive bias was indicated for most of the measured analytes except for calcium, hydrogen ion and specific conductance. Negative bias for hydrogen ion and specific conductance indicated loss of hydrogen ion and decreased specific conductance from contact of the sample with the collector bucket.\r\n\r\nField-audit results for 2004 indicate dissolved analyte loss in more than one-half of NADP/NTN wet-deposition samples for all analytes except chloride. Concentrations of contaminants also were estimated from field-audit data. On the basis of 2004 field-audit results, at least 25 percent of the 2004 NADP/NTN concentrations for sodium, potassium, and chloride were lower than the maximum sodium, potassium, and chloride contamination likely to be found in 90 percent of the samples with 90-percent confidence.\r\n\r\nVariability and bias in NADP/NTN data attributed to chemical analysis by the NADP Central Analytical Laboratory (CAL) were comparable to the variability and bias estimated for other laboratories participating in the interlaboratory-comparison program for all analytes. Variability in NADP/NTN ammonium data evident in 2002-03 was reduced substantially during 2004. Sulfate, hydrogen-ion, and specific conductance data reported by CAL during 2004 were positively biased. A significant (a = 0.05) bias was identified for CAL sodium, potassium, ammonium, and nitrate data, but the absolute values of the median differences for these analytes were less than the method detection limits. No detections were reported for CAL analyses of deionized-water samples, indicating that contamination was not a problem for CAL.\r\n\r\nControl charts show that CAL data were within statistical control during at least 90 percent of 2004. Most 2004 CAL interlaboratory-comparison results for synthetic wet-deposition solutions were within ?10 percent of the most probable values (MPVs) for solution concentrations except for chloride, nitrate, sulfate, and specific conductance results from one sample in November and one specific conductance result in December.\r\n\r\nOverall variability of NADP/NTN wet-deposition measurements was estimated during water year 2004 by the median absolute errors for weekly wet-deposition sample concentrations and precipitation measurements for tw","language":"ENGLISH","doi":"10.3133/sir20065067","usgsCitation":"Wetherbee, G.A., Latysh, N.E., and Greene, S.M., 2006, External quality-assurance results for the National Atmospheric Deposition Program / National Trends Network and Mercury Deposition Network, 2004: U.S. Geological Survey Scientific Investigations Report 2006-5067, vii, 52 p., https://doi.org/10.3133/sir20065067.","productDescription":"vii, 52 p.","numberOfPages":"59","temporalStart":"2004-01-01","temporalEnd":"2004-12-31","costCenters":[],"links":[{"id":192225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7846,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5067/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db68833d","contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":287791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Latysh, Natalie E.","contributorId":39860,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":287792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greene, Shannon M.","contributorId":103751,"corporation":false,"usgs":true,"family":"Greene","given":"Shannon","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":287793,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76744,"text":"ofr20061119 - 2006 - Magnetotelluric survey to locate the Archean/Proterozoic suture zone north of Wells, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:14:06","indexId":"ofr20061119","displayToPublicDate":"2006-05-25T00:00:00","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":"2006-1119","title":"Magnetotelluric survey to locate the Archean/Proterozoic suture zone north of Wells, Nevada","docAbstract":"It is important to know whether major mining districts in the Northern Nevada Gold Province are underlain by rocks of the Archean Wyoming craton, which are known to contain orogenic gold deposits, or by accreted rocks of the Paleoproterozoic Mojave province. It is also important to know the location and orientation of the Archean/Proterozoic suture zone between these provinces as well as major basement structures within these terranes because they may influence subsequent patterns of sedimentation, deformation, magmatism, and hydrothermal activity. The Archean was the main gold-mineralization period, and Archean lode-gold deposits were formed at mid-crustal depths along major shear zones.\r\n\r\nThe nature of the crystalline basement below the Northern Nevada Gold Province and the location of major faults within it are relevant to Rodinian reconstructions, crustal development, and ore deposit models (e.g., Hofstra and Cline, 2000; Grauch and others, 2003). According to Whitmeyer and Karlstrom (2004), the Archean cratons of the northwestern United States and Canada had stabilized as continental lithosphere by 2.5 Ga, and were rifted and assembled into a large continental mass by 1.8 Ga, to which the 1.73-1.68 Ga Mohave province was accreted by 1.65 Ga. The Archean/Proterozoic suture zone has a west-southwest strike where it is exposed (Reed, 1993) at the eastern Utah and southwestern Wyoming border (Cheyenne Belt) where it is characterized by an up to 7-km-thick mylonite zone (Smithson and Boyd, 1998). In the Great Basin, the strike of the Archean/Proterozoic suture zone is poorly constrained because it is largely concealed below a Neoproterozoic-Paleozoic miogeocline and basin fill. East-west and southwest-northeast strikes for the Archean/Proterozoic suture zone have been inferred based on Sr, Nd, and Pb isotopic compositions of granitoid intrusions (Tosdal and others, 2000). To better constrain the location and strike of the Archean/Proterozoic suture zone below cover, three regional north-south magnetotelluric (MT) sounding profiles were acquired in western Utah and northeastern Nevada (Williams and Rodriguez, 2003; 2004; 2005), and one east-west MT sounding profile (fig. 1) MT sounding profile was acquired in northeastern Nevada. Resistivity modeling of the MT data can be used to investigate buried structures or sutures that may have influenced subsequent regional fluid flow and localized mineralization. The purpose of this report is to release the MT sounding data collected along the east-west profile in northeastern Nevada; no interpretation of the data is included.","language":"ENGLISH","doi":"10.3133/ofr20061119","usgsCitation":"Williams, J.M., and Rodriguez, B.D., 2006, Magnetotelluric survey to locate the Archean/Proterozoic suture zone north of Wells, Nevada (Revised and reprinted; Version 1.0): U.S. Geological Survey Open-File Report 2006-1119, iii, 93 p.; MT plot appendix [88 p.], https://doi.org/10.3133/ofr20061119.","productDescription":"iii, 93 p.; MT plot appendix [88 p.]","onlineOnly":"Y","costCenters":[],"links":[{"id":438861,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GH9GW0","text":"USGS data release","linkHelpText":"Magnetotelluric sounding data, stations 26 to 36, north of Wells, Nevada, 2005"},{"id":192586,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7840,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1119/","linkFileType":{"id":5,"text":"html"}}],"edition":"Revised and reprinted; Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6494a2","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":287786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":287785,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76740,"text":"ds180 - 2006 - Capitol Lake, Washington, 2004 data summary","interactions":[],"lastModifiedDate":"2014-10-23T15:48:40","indexId":"ds180","displayToPublicDate":"2006-05-23T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"180","title":"Capitol Lake, Washington, 2004 data summary","docAbstract":"At the request of the Washington Department of Ecology (WDOE), the US Geological Survey (USGS) collected bathymetry data in Capital Lake, Olympia, Wash., on September 21, 2004. The data are to be used to calculate sediment infilling rates within the lake as well as for developing the bottom boundary conditions for numerical models of water quality, sediment transport, and morphological change. In addition, the USGS collected sediment samples in Capitol Lake in February, 2005, to help characterize bottom sediment for numerical model calculations and substrate assessment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds180","usgsCitation":"Eshleman, J., Ruggiero, P., Kingsley, E., Gelfenbaum, G., and George, D., 2006, Capitol Lake, Washington, 2004 data summary (Version 1.0): U.S. Geological Survey Data Series 180, Report: 31 p.; Metadata; 2 Data Packages, https://doi.org/10.3133/ds180.","productDescription":"Report: 31 p.; Metadata; 2 Data Packages","numberOfPages":"35","temporalStart":"2004-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":190619,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds180.JPG"},{"id":7829,"rank":9999,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/2006/180/ds-180_metadata/","linkFileType":{"id":5,"text":"html"}},{"id":7830,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/2006/180/ds-180_data_04.zip"},{"id":7831,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/2006/180/ds-180_data_05.zip"},{"id":7828,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/180/","linkFileType":{"id":5,"text":"html"}},{"id":295699,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/2006/180/ds-180.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Capitol Lake","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fde4b07f02db5f5ffc","contributors":{"authors":[{"text":"Eshleman, Jodi","contributorId":41909,"corporation":false,"usgs":true,"family":"Eshleman","given":"Jodi","affiliations":[],"preferred":false,"id":287776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":287773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kingsley, Etienne","contributorId":25643,"corporation":false,"usgs":true,"family":"Kingsley","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":287774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":287777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"George, Doug","contributorId":39068,"corporation":false,"usgs":true,"family":"George","given":"Doug","affiliations":[],"preferred":false,"id":287775,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":76739,"text":"ofr20061136 - 2006 - Aeromagnetic survey of Dillingham area in southwest Alaska, a website for the preliminary distribution of data","interactions":[],"lastModifiedDate":"2023-01-13T20:04:10.916516","indexId":"ofr20061136","displayToPublicDate":"2006-05-23T00:00:00","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":"2006-1136","title":"Aeromagnetic survey of Dillingham area in southwest Alaska, a website for the preliminary distribution of data","docAbstract":"An airborne high-resolution magnetic survey was completed over the Dillingham and Nushagak Bay and Naknek area in southwestern Alaska. The flying was undertaken by McPhar Geosurveys Ltd. on behalf of the United States Geological Survey (USGS). First tests and calibration flights were completed by August 26th, 2005 and data acquisition was initiated on September 1st, 2005. The final data acquisition flight was completed on October 22nd, 2005. A total of 8,630 line-miles of data were acquired during the survey.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061136","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2006, Aeromagnetic survey of Dillingham area in southwest Alaska, a website for the preliminary distribution of data (Version 1.0): U.S. Geological Survey Open-File Report 2006-1136, 1 Plate: 36.00 x 29.00 inches, https://doi.org/10.3133/ofr20061136.","productDescription":"1 Plate: 36.00 x 29.00 inches","costCenters":[],"links":[{"id":192163,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":411911,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76593.htm","linkFileType":{"id":5,"text":"html"}},{"id":7826,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1136/","linkFileType":{"id":5,"text":"html"}},{"id":7827,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2006/1136/data.html","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","projection":"UTM Zone 4N","country":"United States","state":"Alaska","otherGeospatial":"Dillingham area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.0903,\n              58.5583\n            ],\n            [\n              -159.0903,\n              60.0597\n            ],\n            [\n              -156,\n              60.0597\n            ],\n            [\n              -156,\n              58.5583\n            ],\n            [\n              -159.0903,\n              58.5583\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689ccd","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534784,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76741,"text":"ofr20061110 - 2006 - Geophysical studies of the Crump Geyser known geothermal resource area, Oregon, in 1975","interactions":[],"lastModifiedDate":"2012-02-02T00:14:07","indexId":"ofr20061110","displayToPublicDate":"2006-05-23T00:00:00","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":"2006-1110","title":"Geophysical studies of the Crump Geyser known geothermal resource area, Oregon, in 1975","docAbstract":"The U.S. Geological Survey (USGS) conducted geophysical studies in support of the resource appraisal of the Crump Geyser Known Geothermal Resource Area (KGRA). This area was designated as a KGRA by the USGS, and this designation became effective on December 24, 1970. The land classification standards for a KGRA were established by the Geothermal Steam Act of 1970 (Public Law 91-581). Federal lands so classified required competitive leasing for the development of geothermal resources. \r\n\r\nThe author presented an administrative report of USGS geophysical studies entitled 'Geophysical background of the Crump Geyser area, Oregon, KGRA' to a USGS resource committee on June 17, 1975. This report, which essentially was a description of geophysical data and a preliminary interpretation without discussion of resource appraisal, is in Appendix 1. Reduction of sheets or plates in the original administrative report to page-size figures, which are listed and appended to the back of the text in Appendix 1, did not seem to significantly degrade legibility. Bold print in the text indicates where minor changes were made. A colored page-size index and tectonic map, which also show regional geology not shown in figure 2, was substituted for original figure 1. Detailed descriptions for the geologic units referenced in the text and shown on figures 1 and 2 were separately defined by Walker and Repenning (1965) and presumably were discussed in other reports to the committee. Heavy dashed lines on figures 1 and 2 indicate the approximate KGRA boundary. \r\n\r\nOne of the principal results of the geophysical studies was to obtain a gravity map (Appendix 1, fig. 10; Plouff, and Conradi, 1975, pl. 9), which reflects the fault-bounded steepness of the west edge of sediments and locates the maximum thickness of valley sediments at about 10 kilometers south of Crump Geyser. Based on the indicated regional-gravity profile and density-contrast assumptions for the two-dimensional profile, the maximum sediment thickness was estimated at 820 meters. A three-dimensional gravity model would have yielded a greater thickness. Audiomagnotelluric measurements were not made as far south as the location of the gravity low, as determined in the field, due to a lack of communication at that time. A boat was borrowed to collect gravity measurements along the edge of Crump Lake, but the attempt was curtailed by harsh, snowy weather on May 21, 1975, which shortly followed days of hot temperature. \r\n\r\nMost of the geophysical data and illustrations in Appendix 1 have been published (Gregory and Martinez, 1975; Plouff, 1975; and Plouff and Conradi, 1975), and Donald Plouff (1986) discussed a gravity interpretation of Warner Valley at the Fall 1986 American Geophysical Union meeting in San Francisco. Further interpretation of possible subsurface geologic sources of geophysical anomalies was not discussed in Appendix 1. For example, how were apparent resistivity lows (Appendix 1, figs. 3-6) centered near Crump Geyser affected by a well and other manmade electrically conductive or magnetic objects? What is the geologic significance of the 15-milligal eastward decrease across Warner Valley? The explanation that the two-dimensional gravity model (Appendix 1, fig. 14) was based on an inverse iterative method suggested by Bott (1960) was not included. Inasmuch as there was no local subsurface rock density distribution information to further constrain the gravity model, the three-dimensional methodology suggested by Plouff (1976) was not attempted. \r\n\r\nInasmuch as the associated publication by Plouff (1975), which released the gravity data, is difficult to obtain and not in digital format, that report is reproduced in Appendix 2. Two figures of the publication are appended to the back of the text. A later formula for the theoretical value of gravity for the given latitudes at sea level (International Association of Geodesy, 1971) should be used to re-compute gravity anomalies. To merge t","language":"ENGLISH","doi":"10.3133/ofr20061110","collaboration":"Figs. 6,7 skipped in numbering","usgsCitation":"Plouff, D., 2006, Geophysical studies of the Crump Geyser known geothermal resource area, Oregon, in 1975 (Version 1.0): U.S. Geological Survey Open-File Report 2006-1110, 49 p., https://doi.org/10.3133/ofr20061110.","productDescription":"49 p.","numberOfPages":"49","onlineOnly":"Y","temporalStart":"1975-01-01","temporalEnd":"1975-12-31","costCenters":[{"id":378,"text":"Menlo Park Geophysical Unit","active":false,"usgs":true}],"links":[{"id":192333,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7832,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1110/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c377","contributors":{"authors":[{"text":"Plouff, Donald","contributorId":94657,"corporation":false,"usgs":true,"family":"Plouff","given":"Donald","email":"","affiliations":[],"preferred":false,"id":287778,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76738,"text":"ds188 - 2006 - Database for the geologic map of the Sauk River 30-minute by 60-minute quadrangle, Washington (I-2592)","interactions":[],"lastModifiedDate":"2012-02-02T00:13:56","indexId":"ds188","displayToPublicDate":"2006-05-22T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"188","title":"Database for the geologic map of the Sauk River 30-minute by 60-minute quadrangle, Washington (I-2592)","docAbstract":"This digital map database has been prepared by R.W. Tabor from the published Geologic map of the Sauk River 30- by 60 Minute Quadrangle, Washington. Together with the accompanying text files as PDF, it provides information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The authors mapped most of the bedrock geology at 1:100,000 scale, but compiled most Quaternary units at 1:24,000 scale. The Quaternary contacts and structural data have been much simplified for the 1:100,000-scale map and database. The spatial resolution (scale) of the database is 1:100,000 or smaller. \r\n\r\nThis database depicts the distribution of geologic materials and structures at a regional (1:100,000) scale. The report is intended to provide geologic information for the regional study of materials properties, earthquake shaking, landslide potential, mineral hazards, seismic velocity, and earthquake faults. In addition, the report contains information and interpretations about the regional geologic history and framework. However, the regional scale of this report does not provide sufficient detail for site development purposes.","language":"ENGLISH","doi":"10.3133/ds188","collaboration":"See map I-2592","usgsCitation":"Tabor, R.W., Booth, D.B., Vance, J., and Ford, A.B., 2006, Database for the geologic map of the Sauk River 30-minute by 60-minute quadrangle, Washington (I-2592) (Version 1.0): U.S. Geological Survey Data Series 188, Unpaginated database, https://doi.org/10.3133/ds188.","productDescription":"Unpaginated database","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":647,"text":"Western Earth Surface Processes","active":false,"usgs":true}],"links":[{"id":191073,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7824,"rank":9999,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/2006/188/srmetadata.txt","linkFileType":{"id":2,"text":"txt"}},{"id":7823,"rank":9999,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/ds/2006/188/srcovers4.tar.gz"},{"id":7825,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/188/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672bae","contributors":{"authors":[{"text":"Tabor, R. W.","contributorId":16002,"corporation":false,"usgs":true,"family":"Tabor","given":"R.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":287768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Booth, D. B.","contributorId":42223,"corporation":false,"usgs":false,"family":"Booth","given":"D.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":287769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vance, J.A.","contributorId":51361,"corporation":false,"usgs":true,"family":"Vance","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":287771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, A. B.","contributorId":44924,"corporation":false,"usgs":false,"family":"Ford","given":"A.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":287770,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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