{"pageNumber":"1376","pageRowStart":"34375","pageSize":"25","recordCount":165458,"records":[{"id":70044305,"text":"70044305 - 2014 - Trails through time: A geologist's guide to Jefferson County open space parks","interactions":[],"lastModifiedDate":"2016-05-17T14:45:50","indexId":"70044305","displayToPublicDate":"2013-01-31T13:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Trails through time: A geologist's guide to Jefferson County open space parks","docAbstract":"

Introduction

\n

Jefferson County straddles one of the most conspicuous and important geographic and geologic boundaries in western
North America, the eastern flank of the Rocky Mountains. To the east you can travel 1,100 miles across Great Plains and
Central Lowlands before you sight the western foothills of the Appalachians. If you travel in the other direction you will
cross or skirt mountain range after mountain range until you sight the Coast Range near San Francisco, more than 900
miles to the west. Many of these mountains have different ages and origins than the Colorado mountains, but they are
all part of the great mountain belt called the North American Cordillera that extends along the western edge of the
continent from Alaska through Mexico.

\n

What is the reason for the remarkably straight and abrupt eastern flank of the Colorado Front Range? The brief answer
is that it marks the edge of a block of ancient metamorphic and igneous rocks that has been uplifted relative to younger
flat-laying sedimentary rocks that underlie the plains to the east. During the uplift, the sedimentary rocks along the
boundary have been uplifted and tilted eastward to form the discontinuous line of hogback ridges that parallel the
mountain front. Erosion during and after the uplift has removed the sedimentary rocks that once lay above the harder
rocks of the mountain uplift, carved the scenic peaks and mountain canyons in the hard crystalline rocks of uplifted
block, and worn away the softer layers of sedimentary rocks of the plains, but left a few of the harder upturned layers
along the mountain front as hogback ridges.

\n

Jefferson County Open Space Parks, as well as other nearby parks and National Forest lands, offer marvelous
opportunities to explore the geologic story behind this singular landscape. At first the distribution of rocks of different
ages and types seems almost random, but careful study of the rocks and landscape features reveals a captivating
geologic story, a history that tells of the building of the foundations of the continent, the rise and destruction of longvanished
mountain ranges, the ebb and flow of ancient seas, and the constant shaping and reshaping of the landscape in
response to the never-ending interplay between uplift and erosion. This historical account is constantly being improved
and expanded as new evidence accumulates and new interpretations evolve.

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John C. jreed@usgs.gov","contributorId":1259,"corporation":false,"usgs":true,"family":"Reed","given":"John C.","email":"jreed@usgs.gov","affiliations":[],"preferred":true,"id":517281,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047458,"text":"70047458 - 2014 - Mars Global Digital Dune Database (MGD3): Global dune distribution and wind pattern observations","interactions":[],"lastModifiedDate":"2016-12-14T11:34:22","indexId":"70047458","displayToPublicDate":"2013-01-16T14:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Mars Global Digital Dune Database (MGD3): Global dune distribution and wind pattern observations","docAbstract":"The Mars Global Digital Dune Database (MGD3) is complete and now extends from 90°N to 90°S latitude. The recently released south pole (SP) portion (MC-30) of MGD3 adds ∼60,000 km2 of medium to large-size dark dune fields and ∼15,000 km2 of sand deposits and smaller dune fields to the previously released equatorial (EQ, ∼70,000 km2), and north pole (NP, ∼845,000 km2) portions of the database, bringing the global total to ∼975,000 km2. Nearly all NP dunes are part of large sand seas, while the majority of EQ and SP dune fields are individual dune fields located in craters. Despite the differences between Mars and Earth, their dune and dune field morphologies are strikingly similar. Bullseye dune fields, named for their concentric ring pattern, are the exception, possibly owing their distinctive appearance to winds that are unique to the crater environment. Ground-based wind directions are derived from slipface (SF) orientation and dune centroid azimuth (DCA), a measure of the relative location of a dune field inside a crater. SF and DCA often preserve evidence of different wind directions, suggesting the importance of local, topographically influenced winds. In general however, ground-based wind directions are broadly consistent with expected global patterns, such as polar easterlies. Intriguingly, between 40°S and 80°S latitude both SF and DCA preserve their strongest, though different, dominant wind direction, with transport toward the west and east for SF-derived winds and toward the north and west for DCA-derived winds.","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2013.04.011","usgsCitation":"Hayward, R., Fenton, L., and Titus, T.N., 2014, Mars Global Digital Dune Database (MGD3): Global dune distribution and wind pattern observations: Icarus, v. 230, p. 38-46, https://doi.org/10.1016/j.icarus.2013.04.011.","productDescription":"9 p.","startPage":"38","endPage":"46","numberOfPages":"9","ipdsId":"IP-042959","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":278482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278481,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2013.04.011"}],"volume":"230","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526f8763e4b0493c992ecd11","contributors":{"authors":[{"text":"Hayward, Rosalyn K. 0000-0002-7428-0311 rhayward@usgs.gov","orcid":"https://orcid.org/0000-0002-7428-0311","contributorId":571,"corporation":false,"usgs":true,"family":"Hayward","given":"Rosalyn K.","email":"rhayward@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":482091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenton, Lori","contributorId":51641,"corporation":false,"usgs":true,"family":"Fenton","given":"Lori","affiliations":[],"preferred":false,"id":482092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":482090,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70073493,"text":"70073493 - 2014 - Influence of sex, migration distance, and latitude on life history expression in steelhead and rainbow trout (Oncorhynchus mykiss)","interactions":[],"lastModifiedDate":"2014-01-21T12:47:40","indexId":"70073493","displayToPublicDate":"2013-01-15T11:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Influence of sex, migration distance, and latitude on life history expression in steelhead and rainbow trout (Oncorhynchus mykiss)","docAbstract":"Abstract:In partially migratory species, such as Oncorhynchus mykiss, the emergence of life history phenotypes is often attributed to fitness trade-offs associated with growth and survival. Fitness trade-offs can be linked to reproductive tactics that vary between the sexes, as well as the influence of environmental conditions. We found that O. my kiss outmigrants are more likely to be female in nine populations throughout western North America (grand mean 65% female), in support of the hypothesis that anadromy is more likely to benefit females. This bias was not related to migration distance or freshwater productivity, as indicated by latitude. Within one O. my kiss population we also measured the resident sex ratio and did not observe a male bias, despite a high female bias among out migrants in that system. We provide a simulation to demonstrate the relationship between sex ratios and\nthe proportion of anadromy and show how sex ratios could be a valuable tool for predicting the prevalence of life history types in a population.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0274","usgsCitation":"Ohms, H.A., Sloat, M.R., Reeves, G.H., Jordan, C.E., and Dunham, J., 2014, Influence of sex, migration distance, and latitude on life history expression in steelhead and rainbow trout (Oncorhynchus mykiss): Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 1, p. 70-80, https://doi.org/10.1139/cjfas-2013-0274.","productDescription":"11 p.","startPage":"70","endPage":"80","ipdsId":"IP-051502","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":281237,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2013-0274"},{"id":281323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada;United States","state":"California;Idaho;Oregon;Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -133.68,39.01 ], [ -133.68,55.94 ], [ -112.63,55.94 ], [ -112.63,39.01 ], [ -133.68,39.01 ] ] ] } } ] }","volume":"71","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd628ee4b0b290850fe3f4","contributors":{"authors":[{"text":"Ohms, Haley A.","contributorId":107192,"corporation":false,"usgs":true,"family":"Ohms","given":"Haley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":488810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sloat, Matthew R.","contributorId":60951,"corporation":false,"usgs":true,"family":"Sloat","given":"Matthew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":488807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":488809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordan, Chris E.","contributorId":88233,"corporation":false,"usgs":true,"family":"Jordan","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":488808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":488806,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70122166,"text":"70122166 - 2014 - Groundwater flow cycling between a submarine spring and an inland fresh water spring","interactions":[],"lastModifiedDate":"2014-09-05T08:53:15","indexId":"70122166","displayToPublicDate":"2013-01-01T13:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater flow cycling between a submarine spring and an inland fresh water spring","docAbstract":"

Spring Creek Springs and Wakulla Springs are large first magnitude springs that derive water from the Upper Floridan Aquifer. The submarine Spring Creek Springs are located in a marine estuary and Wakulla Springs are located 18 km inland. Wakulla Springs has had a consistent increase in flow from the 1930s to the present. This increase is probably due to the rising sea level, which puts additional pressure head on the submarine Spring Creek Springs, reducing its fresh water flow and increasing flows in Wakulla Springs. To improve understanding of the complex relations between these springs, flow and salinity data were collected from June 25, 2007 to June 30, 2010. The flow in Spring Creek Springs was most sensitive to rainfall and salt water intrusion, and the flow in Wakulla Springs was most sensitive to rainfall and the flow in Spring Creek Springs. Flows from the springs were found to be connected, and composed of three repeating phases in a karst spring flow cycle: Phase 1 occurred during low rainfall periods and was characterized by salt water backflow into the Spring Creek Springs caves. The higher density salt water blocked fresh water flow and resulted in a higher equivalent fresh water head in Spring Creek Springs than in Wakulla Springs. The blocked fresh water was diverted to Wakulla Springs, approximately doubling its flow. Phase 2 occurred when heavy rainfall resulted in temporarily high creek flows to nearby sinkholes that purged the salt water from the Spring Creek Springs caves. Phase 3 occurred after streams returned to base flow. The Spring Creek Springs caves retained a lower equivalent fresh water head than Wakulla Springs, causing them to flow large amounts of fresh water while Wakulla Springs flow was reduced by about half.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gwat.12125","usgsCitation":"Davis, J., and Verdi, R., 2014, Groundwater flow cycling between a submarine spring and an inland fresh water spring: Ground Water, v. 52, no. 5, p. 705-716, https://doi.org/10.1111/gwat.12125.","productDescription":"12 p.","startPage":"705","endPage":"716","numberOfPages":"12","ipdsId":"IP-032250","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":293035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293018,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12125"}],"country":"United States","state":"Florida;Georgia","otherGeospatial":"Lost Creek Sink;Spring Creek Springs;Wakulla Springs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.64528,30.051686 ], [ -84.64528,30.9689 ], [ -84.047469,30.9689 ], [ -84.047469,30.051686 ], [ -84.64528,30.051686 ] ] ] } } ] }","volume":"52","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-10-18","publicationStatus":"PW","scienceBaseUri":"53fd9f57e4b0adaeea6c4e30","contributors":{"authors":[{"text":"Davis, J. Hal","contributorId":53832,"corporation":false,"usgs":true,"family":"Davis","given":"J. Hal","affiliations":[],"preferred":false,"id":499442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdi, Richard","contributorId":72719,"corporation":false,"usgs":true,"family":"Verdi","given":"Richard","affiliations":[],"preferred":false,"id":499443,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044049,"text":"70044049 - 2014 - History of late Holocene earthquakes at the Willow Creek site on the Nephi segment, Wasatch fault zone, Utah","interactions":[],"lastModifiedDate":"2016-07-12T14:46:46","indexId":"70044049","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5137,"text":"Paleoseismology of Utah","active":true,"publicationSubtype":{"id":2}},"title":"History of late Holocene earthquakes at the Willow Creek site on the Nephi segment, Wasatch fault zone, Utah","docAbstract":"

This 43-page report presents new data from the Willow Creek site that provides well-defined and narrow bounds on the times of the three youngest earthquakes on the southern strand of the Nephi segment, Wasatch Fault zone, and refines the time of the youngest earthquake to about 200 years ago. This is the youngest surface rupture on the entire Wasatch fault zone, which occurred about a century or less before European settles arrived in Utah. Two trenches at the Willow Creek site exposed three scarp-derived colluvial wedges that are evidence of three paleoearthquakes. OxCal modeling of ages from Willow Creek indicate that paleoearthquake WC1 occurred at 0.2 ± 0.1 ka, WC2 occurred at 1.2 ± 0.1 ka, and WC3 occurred at 1.9 ± 0.6 ka. Stratigraphic constraints on the time of paleoearthquake WC4 are extremely poor, so OxCal modeling only yields a broadly constrained age of 4.7 ± 1.8 ka. Results from the Willow Creek site significantly refine the times of late Holocene earthquakes on the Southern strand of the Nephi segment, and this result, when combined with a reanalysis of the stratigraphic and chronologic information from previous investigations at North Creek and Red Canyon, yield a stronger basis of correlating individual earthquakes between all three sites.

","language":"English","publisher":"Utah Department of Natural Resources","usgsCitation":"Crone, A.J., Personius, S.F., DuRoss, C., Machette, M., and Mahan, S.A., 2014, History of late Holocene earthquakes at the Willow Creek site on the Nephi segment, Wasatch fault zone, Utah: Paleoseismology of Utah, v. 25, 43 p.","productDescription":"43 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043260","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":325112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325111,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.mapstore.utah.gov/ss151.html"}],"volume":"25","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dcff6e4b0589fa1cbd9aa","contributors":{"authors":[{"text":"Crone, Anthony J. 0000-0002-3006-406X crone@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-406X","contributorId":790,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","email":"crone@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":642258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Personius, Stephen F. personius@usgs.gov","contributorId":1214,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","middleInitial":"F.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":642259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":517096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Machette, Michael N.","contributorId":28963,"corporation":false,"usgs":true,"family":"Machette","given":"Michael N.","affiliations":[],"preferred":false,"id":517093,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":517094,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046159,"text":"70046159 - 2014 - Glyphosate and its degradation product AMPA occur frequently and widely in U.S. soils, surface water, groundwater, and precipitation","interactions":[],"lastModifiedDate":"2022-09-26T15:27:27.595707","indexId":"70046159","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Glyphosate and its degradation product AMPA occur frequently and widely in U.S. soils, surface water, groundwater, and precipitation","docAbstract":"

Glyphosate use in the United States increased from less than 5,000 to more than 80,000 metric tons/yr between 1987 and 2007. Glyphosate is popular due to its ease of use on soybean, cotton, and corn crops that are genetically modified to tolerate it, utility in no-till farming practices, utility in urban areas, and the perception that it has low toxicity and little mobility in the environment. This compilation is the largest and most comprehensive assessment of the environmental occurrence of glyphosate and aminomethylphosphonic acid (AMPA) in the United States conducted to date, summarizing the results of 3,732 water and sediment and 1,018 quality assurance samples collected between 2001 and 2010 from 38 states. Results indicate that glyphosate and AMPA are usually detected together, mobile, and occur widely in the environment. Glyphosate was detected without AMPA in only 2.3% of samples, whereas AMPA was detected without glyphosate in 17.9% of samples. Glyphosate and AMPA were detected frequently in soils and sediment, ditches and drains, precipitation, rivers, and streams; and less frequently in lakes, ponds, and wetlands; soil water; and groundwater. Concentrations of glyphosate were below the levels of concern for humans or wildlife; however, pesticides are often detected in mixtures. Ecosystem effects of chronic low-level exposures to pesticide mixtures are uncertain. The environmental health risk of low-level detections of glyphosate, AMPA, and associated adjuvants and mixtures remain to be determined.

","language":"English","publisher":"American Water Resources Association","doi":"10.1111/jawr.12159","usgsCitation":"Battaglin, W.A., Meyer, M.T., Kuivila, K., and Dietze, J.E., 2014, Glyphosate and its degradation product AMPA occur frequently and widely in U.S. soils, surface water, groundwater, and precipitation: Journal of the American Water Resources Association, v. 50, no. 2, p. 275-290, https://doi.org/10.1111/jawr.12159.","productDescription":"16 p.","startPage":"275","endPage":"290","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045904","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":274150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":false,"usgs":true}],"preferred":true,"id":479072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dietze, Julie E. 0000-0002-5936-5739 juliec@usgs.gov","orcid":"https://orcid.org/0000-0002-5936-5739","contributorId":3939,"corporation":false,"usgs":true,"family":"Dietze","given":"Julie","email":"juliec@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":479075,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192404,"text":"70192404 - 2014 - Macroinvertebrate community change associated with the severity of streamflow alteration","interactions":[],"lastModifiedDate":"2017-11-16T10:37:21","indexId":"70192404","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Macroinvertebrate community change associated with the severity of streamflow alteration","docAbstract":"

Natural streamflows play a critical role in stream ecosystems, yet quantitative relations between streamflow alteration and stream health have been elusive. One reason for this difficulty is that neither streamflow alteration nor ecological responses are measured relative to their natural expectations. We assessed macroinvertebrate community condition in 25 mountain streams representing a large gradient of streamflow alteration, which we quantified as the departure of observed flows from natural expectations. Observed flows were obtained from US Geological Survey streamgaging stations and discharge records from dams and diversion structures. During low-flow conditions in September, samples of macroinvertebrate communities were collected at each site, in addition to measures of physical habitat, water chemistry and organic matter. In general, streamflows were artificially high during summer and artificially low throughout the rest of the year. Biological condition, as measured by richness of sensitive taxa (Ephemeroptera, Plecoptera and Trichoptera) and taxonomic completeness (O/E), was strongly and negatively related to the severity of depleted flows in winter. Analyses of macroinvertebrate traits suggest that taxa losses may have been caused by thermal modification associated with streamflow alteration. Our study yielded quantitative relations between the severity of streamflow alteration and the degree of biological impairment and suggests that water management that reduces streamflows during winter months is likely to have negative effects on downstream benthic communities in Utah mountain streams. 

","language":"English","publisher":"River Research and Applications","doi":"10.1002/rra.2626","usgsCitation":"Carlisle, D.M., Eng, K., and Nelson, S.M., 2014, Macroinvertebrate community change associated with the severity of streamflow alteration: River Research and Applications, v. 30, no. 1, p. 29-39, https://doi.org/10.1002/rra.2626.","productDescription":"11 p.","startPage":"29","endPage":"39","ipdsId":"IP-034600","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":348882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.9342041015625,\n 39.8928799002948\n ],\n [\n -110.3851318359375,\n 39.8928799002948\n ],\n [\n -110.3851318359375,\n 41.244772343082076\n ],\n [\n -111.9342041015625,\n 41.244772343082076\n ],\n [\n -111.9342041015625,\n 39.8928799002948\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-21","publicationStatus":"PW","scienceBaseUri":"5a6100e8e4b06e28e9c2543d","contributors":{"authors":[{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":715707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":715708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, S. M.","contributorId":81853,"corporation":false,"usgs":false,"family":"Nelson","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":715709,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70133837,"text":"70133837 - 2014 - From streets to streams: Assessing the toxicity potential of urban sediment by particle size","interactions":[],"lastModifiedDate":"2019-10-24T15:35:07","indexId":"70133837","displayToPublicDate":"2012-12-29T15:34:17","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"From streets to streams: Assessing the toxicity potential of urban sediment by particle size","docAbstract":"Urban sediment can act as a transport mechanism for a variety of pollutants to move towards a receiving water body. The concentrations of these pollutants oftentimes exceed levels that are toxic to aquatic organisms. Many treatment structures are designed to capture coarse sediment but do not work well to similarly capture the fines. This study measured concentrations of select trace metals and PAHs in both the silt and sand fractions of urban sediment from four sources: stormwater bed, stormwater suspended, street dirt, and streambed. Concentrations were used to assess the toxic potential of sediment based on published sediment quality guidelines. All sources of sediment showed some level of toxic potential with stormwater bed sediment the highest followed by stormwater suspended, street dirt, and streambed. Both metal and PAH concentration distributions were highly correlated between the four sampling locations suggesting the presence of one or perhaps only a few sources of these pollutants which remain persistent as sediment is transported from street to stream. Comparison to other forms of combustion- and vehicle-related sources of PAHs revealed coal tar sealants to have the strongest correlation, in both the silt and sand fractions, at all four sampling sites. This information is important for environmental managers when selecting the most appropriate Best Management Practice (BMP) as a way to mitigate pollution conveyed in urban stormwater from source to sink.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2012.11.094","usgsCitation":"Selbig, W.R., Bannerman, R.T., and Corsi, S., 2014, From streets to streams: Assessing the toxicity potential of urban sediment by particle size: Science of the Total Environment, v. 444, p. 381-391, https://doi.org/10.1016/j.scitotenv.2012.11.094.","productDescription":"11 p.","startPage":"381","endPage":"391","ipdsId":"IP-042328","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":368574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Madison, Milwaukee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.61959838867188,\n 42.9524020856897\n ],\n [\n -89.14031982421875,\n 42.9524020856897\n ],\n [\n -89.14031982421875,\n 43.19416381095764\n ],\n [\n -89.61959838867188,\n 43.19416381095764\n ],\n [\n -89.61959838867188,\n 42.9524020856897\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.31771850585938,\n 42.86589941517495\n ],\n [\n -87.81097412109375,\n 42.86589941517495\n ],\n [\n -87.81097412109375,\n 43.26720631662829\n ],\n [\n -88.31771850585938,\n 43.26720631662829\n ],\n [\n -88.31771850585938,\n 42.86589941517495\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"444","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546dbf29e4b0fc7976bf1e54","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, Roger T.","contributorId":127491,"corporation":false,"usgs":false,"family":"Bannerman","given":"Roger","email":"","middleInitial":"T.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":525500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corsi, Steven srcorsi@usgs.gov","contributorId":127499,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525498,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041754,"text":"70041754 - 2014 - A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes","interactions":[],"lastModifiedDate":"2013-12-23T09:54:59","indexId":"70041754","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes","docAbstract":"Infiltration along ephemeral channels plays an important role in groundwater recharge in arid regions. A model is presented for estimating spatial variability of seepage due to streambed heterogeneity along channels based on measurements of streamflow-front velocities in initially dry channels. The diffusion-wave approximation to the Saint-Venant equations, coupled with Philip's equation for infiltration, is connected to the groundwater model MODFLOW and is calibrated by adjusting the saturated hydraulic conductivity of the channel bed. The model is applied to portions of two large water delivery canals, which serve as proxies for natural ephemeral streams. Estimated seepage rates compare well with previously published values. Possible sources of error stem from uncertainty in Manning's roughness coefficients, soil hydraulic properties and channel geometry. Model performance would be most improved through more frequent longitudinal estimates of channel geometry and thalweg elevation, and with measurements of stream stage over time to constrain wave timing and shape. This model is a potentially valuable tool for estimating spatial variability in longitudinal seepage along intermittent and ephemeral channels over a wide range of bed slopes and the influence of seepage rates on groundwater levels.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken , NJ","doi":"10.1002/hyp.9545","usgsCitation":"Shanafield, M., Niswonger, R., Prudic, D.E., Pohll, G., Susfalk, R., and Panday, S., 2014, A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes: Hydrological Processes, v. 28, no. 1, p. 51-61, https://doi.org/10.1002/hyp.9545.","productDescription":"11 p.","startPage":"51","endPage":"61","ipdsId":"IP-042359","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":263984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263983,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.9545"}],"volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-17","publicationStatus":"PW","scienceBaseUri":"50cb5758e4b09e092d6f03cd","contributors":{"authors":[{"text":"Shanafield, Margaret","contributorId":106772,"corporation":false,"usgs":true,"family":"Shanafield","given":"Margaret","affiliations":[],"preferred":false,"id":470167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":470163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prudic, David E. deprudic@usgs.gov","contributorId":3430,"corporation":false,"usgs":true,"family":"Prudic","given":"David","email":"deprudic@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pohll, Greg","contributorId":65355,"corporation":false,"usgs":true,"family":"Pohll","given":"Greg","affiliations":[],"preferred":false,"id":470164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Susfalk, Richard","contributorId":72274,"corporation":false,"usgs":true,"family":"Susfalk","given":"Richard","email":"","affiliations":[],"preferred":false,"id":470165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Panday, Sorab","contributorId":100513,"corporation":false,"usgs":true,"family":"Panday","given":"Sorab","affiliations":[],"preferred":false,"id":470166,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70111892,"text":"70111892 - 2014 - Palila abundance estimates and trends","interactions":[],"lastModifiedDate":"2018-01-04T12:56:14","indexId":"70111892","displayToPublicDate":"2012-10-01T16:06:29","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-053","title":"Palila abundance estimates and trends","docAbstract":"

The palila (Loxioides bailleui) population was surveyed annually during 1998−2014 on Mauna Kea Volcano to determine abundance, population trend, and spatial distribution. In the latest surveys, the 2013 population was estimated at 1,492−2,132 birds (point estimate: 1,799) and the 2014 population was estimated at 1,697−2,508 (point estimate: 2,070). Similar numbers of palila were detected during the first and subsequent counts within each year during 2012−2014, and there was no difference in their detection probability due to count sequence. This suggests that greater precision in population estimates can be achieved if future surveys include repeat visits. No palila were detected outside the core survey area in 2013 or 2014, suggesting that most if not all palila inhabit the western slope during the survey period. Since 2003, the size of the area containing all annual palila detections do not indicate a significant change among years, suggesting that the range of the species has remained stable; although this area represents only about 5% of its historical extent. During 1998−2003, palila numbers fluctuated moderately (coefficient of variation [CV] = 0.21). After peaking in 2003, population estimates declined steadily through 2011; since 2010, estimates have fluctuated moderately above the 2011 minimum (CV = 0.18). The average rate of decline during 1998−2014 was 167 birds per year with very strong statistical support for an overall declining trend in abundance. Over the 16-year monitoring period, the estimated rate of change equated to a 68% decline in the population.

","language":"English","publisher":"University of Hawaii at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Banko, P.C., Brink, K.W., and Camp, R., 2014, Palila abundance estimates and trends: Technical Report HCSU-053, 18 p.","productDescription":"18 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056965","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":289441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288189,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/2611"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Mauna Kea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.486007,19.809503 ], [ -155.486007,19.830497 ], [ -155.453993,19.830497 ], [ -155.453993,19.809503 ], [ -155.486007,19.809503 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b1cbe4b0388651d91856","contributors":{"authors":[{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":494497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brink, Kevin W.","contributorId":201445,"corporation":false,"usgs":false,"family":"Brink","given":"Kevin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":725389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard","contributorId":50826,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","affiliations":[],"preferred":false,"id":494498,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045590,"text":"70045590 - 2014 - Molecular epidemiology and evolution of fish Novirhabdoviruses","interactions":[],"lastModifiedDate":"2016-01-05T15:00:39","indexId":"70045590","displayToPublicDate":"2012-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Molecular epidemiology and evolution of fish Novirhabdoviruses","docAbstract":"

The genus Novirhabdoviridae contains several of the important rhabdoviruses that infect fish hosts. There are four established virus species: Infectious hematopoietic necrosis virus (IHNV), Viral hemorrhagic septicemia virus (VHSV), Hirame rhabdovirus(HIRRV), and Snakehead rhabdovirus (SHRV). Viruses of these species vary in host and geographic range, and they have all been studied at the molecular and genomic level. As globally significant pathogens of cultured fish, IHNV and VHSV have been particularly well studied in terms of molecular epidemiology and evolution. Phylogenic analyses of hundreds of field isolates have defined five major genogroups of IHNV and four major genotypes of VHSV worldwide. These phylogenies are informed by the known histories of IHNV and VHSV, each involving a series of viral emergence events that are sometimes associated with host switches, most often into cultured rainbow trout. In general, IHNV has relatively low genetic diversity and a narrow host range, and has been spread from its endemic source in North American to Europe and Asia due to aquaculture activities. In contrast, VHSV has broad host range and high genetic diversity, and the source of emergence events is virus in widespread marine fish reservoirs in the northern Atlantic and Pacific Oceans. Common mechanisms of emergence and host switch events include use of raw feed, proximity to wild fish reservoirs of virus, and geographic translocations of virus or naive fish hosts associated with aquaculture.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Rhabdoviruses: Molecular taxonomy, Evolution, Genomics, Ecology, Cytopathology, and Control","language":"English","publisher":"Caister Academic Press","usgsCitation":"Kurath, G., 2014, Molecular epidemiology and evolution of fish Novirhabdoviruses, chap. of Rhabdoviruses: Molecular taxonomy, Evolution, Genomics, Ecology, Cytopathology, and Control, p. 89-117.","productDescription":"29 p.","startPage":"89","endPage":"117","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037061","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":313836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313835,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.horizonpress.com/rhabdoviruses"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568cf747e4b0e7a44bc0f17a","contributors":{"authors":[{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":587637,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045077,"text":"70045077 - 2014 - Relation of landslides triggered by the Kiholo Bay earthquake to modeled ground motion","interactions":[],"lastModifiedDate":"2020-10-06T00:36:12.664857","indexId":"70045077","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Relation of landslides triggered by the Kiholo Bay earthquake to modeled ground motion","docAbstract":"

The 2006 Kiholo Bay, Hawaii, earthquake triggered high concentrations of rock falls and slides in the steep canyons of the Kohala Mountains along the north coast of Hawaii. Within these mountains and canyons a complex distribution of landslides was triggered by the earthquake shaking. In parts of the area, landslides were preferentially located on east‐facing slopes, whereas in other parts of the canyons no systematic pattern prevailed with respect to slope aspect or vertical position on the slopes. The geology within the canyons is homogeneous, so we hypothesize that the variable landslide distribution is the result of localized variation in ground shaking; therefore, we used a state‐of‐the‐art, high‐resolution ground‐motion simulation model to see if it could reproduce the landslide‐distribution patterns. We used a 3D finite‐element analysis to model earthquake shaking using a 10 m digital elevation model and slip on a finite‐fault model constructed from teleseismic records of the mainshock. Ground velocity time histories were calculated up to a frequency of 5 Hz. Dynamic shear strain also was calculated and compared with the landslide distribution. Results were mixed for the velocity simulations, with some areas showing correlation of landslide locations with peak modeled ground motions but many other areas showing no such correlation. Results were much improved for the comparison with dynamic shear strain. This suggests that (1) rock falls and slides are possibly triggered by higher frequency ground motions (velocities) than those in our simulations, (2) the ground‐motion velocity model needs more refinement, or (3) dynamic shear strain may be a more fundamental measurement of the decoupling process of slope materials during seismic shaking.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140047","usgsCitation":"Harp, E.L., Hartzell, S., Jibson, R.W., Ramirez-Guzman, L., and Schmitt, R.G., 2014, Relation of landslides triggered by the Kiholo Bay earthquake to modeled ground motion: Bulletin of the Seismological Society of America, v. 104, no. 5, p. 2529-2540, https://doi.org/10.1785/0120140047.","productDescription":"12 p.","startPage":"2529","endPage":"2540","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033811","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":275018,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kiholo Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n 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]\n}","volume":"104","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-09-16","publicationStatus":"PW","scienceBaseUri":"51e519eee4b069f8d27ccb23","contributors":{"authors":[{"text":"Harp, Edwin L. harp@usgs.gov","contributorId":1290,"corporation":false,"usgs":true,"family":"Harp","given":"Edwin","email":"harp@usgs.gov","middleInitial":"L.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":476742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, Stephen H.","contributorId":94695,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen H.","affiliations":[],"preferred":false,"id":476741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jibson, Randall W. 0000-0003-3399-0875 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Consistently mappable units critical to distinguishing the style and interplay of geologic processes through time are sparse in the Martian lowlands. This study identifies a previously unmapped Middle Amazonian (ca. 1 Ga) unit (Middle Amazonian lowland unit, mAl) that postdates the Late Hesperian and Early Amazonian lowland plains by >2 b.y. The unit is regionally defined by subtle marginal scarps and slopes, has a mean thickness of 32 m, and extends >3.1 × 106 km2 between lat 35°N and 80°N. Pedestal-type craterforms and nested, arcuate ridges (thumbprint terrain) tend to occur adjacent to unit mAl outcrops, suggesting that current outcrops are vestiges of a more extensive deposit that previously covered ∼16 × 106 km2. Exposed layers, surface pits, and the draping of subjacent landforms allude to a sedimentary origin, perhaps as a loess-like deposit emplaced rhythmically through atmospheric fallout. We propose that unit mAl accumulated coevally with, and at the expense of, the erosion of the north polar basal units, identifying a major episode of Middle Amazonian climate-driven sedimentation in the lowlands. This work links ancient sedimentary processes to climate change that occurred well before those implied by current orbital and spin axis models.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G33513.1","usgsCitation":"Skinner, J., Tanaka, K.L., and Platz, T., 2014, Widespread loess-like deposit in the Martian northern lowlands identifies Middle Amazonian climate change: Geology, v. 40, no. 12, p. 1127-1130, https://doi.org/10.1130/G33513.1.","productDescription":"4 p.","startPage":"1127","endPage":"1130","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037571","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":296672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5490143fe4b058d886db164c","contributors":{"authors":[{"text":"Skinner, James A. 0000-0002-3644-7010 jskinner@usgs.gov","orcid":"https://orcid.org/0000-0002-3644-7010","contributorId":3187,"corporation":false,"usgs":true,"family":"Skinner","given":"James A.","email":"jskinner@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":536181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanaka, Kenneth L. ktanaka@usgs.gov","contributorId":610,"corporation":false,"usgs":true,"family":"Tanaka","given":"Kenneth","email":"ktanaka@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":536182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Platz, Thomas","contributorId":128459,"corporation":false,"usgs":false,"family":"Platz","given":"Thomas","affiliations":[{"id":7175,"text":"Institute of Geological Sciences, Planetary Sciences and Remote Sensing, Freie Universitat Berlin","active":true,"usgs":false},{"id":34668,"text":"Max Planck Institute for Solar System Research, Göttingen, Germany","active":true,"usgs":false}],"preferred":false,"id":536183,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70136253,"text":"70136253 - 2014 - Sources of global climate data and visualization portals","interactions":[],"lastModifiedDate":"2017-06-14T15:18:18","indexId":"70136253","displayToPublicDate":"2011-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sources of global climate data and visualization portals","docAbstract":"Climate is integral to the geophysical foundation upon which ecosystems are structured. Knowledge about mechanistic linkages between the geophysical and biological environments is essential for understanding how global warming may reshape contemporary ecosystems and ecosystem services. Numerous global data sources spanning several decades are available that document key geophysical metrics such as temperature and precipitation, and metrics of primary biological production such as vegetation phenology and ocean phytoplankton. This paper provides an internet directory to portals for visualizing or servers for downloading many of the more commonly used global datasets, as well as a description of how to write simple computer code to efficiently retrieve these data. The data are broadly useful for quantifying relationships between climate, habitat availability, and lower-trophic-level habitat quality - especially in Arctic regions where strong seasonality is accompanied by intrinsically high year-to-year variability. If defensible linkages between the geophysical (climate) and the biological environment can be established, general circulation model (GCM) projections of future climate conditions can be used to infer future biological responses. Robustness of this approach is, however, complicated by the number of direct, indirect, or interacting linkages involved. For example, response of a predator species to climate change will be influenced by the responses of its prey and competitors, and so forth throughout a trophic web. The complexities of ecological systems warrant sensible and parsimonious approaches for assessing and establishing the role of natural climate variability in order to substantiate inferences about the potential effects of global warming.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Gyrfalcons and Ptarmigan in a Changing World, Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Gyrfalcons and Ptarmigan in a Changing World","conferenceDate":"1-3 February 2011","conferenceLocation":"Boise, ID","language":"English","publisher":"The Peregrine Fund book \"Gyrfalcons and Ptarmigan in a Changing World\"","doi":"10.4080/gpcw.2011.0110","usgsCitation":"Douglas, D.C., 2014, Sources of global climate data and visualization portals, in Gyrfalcons and Ptarmigan in a Changing World, Conference Proceedings, v. 1, Boise, ID, 1-3 February 2011, p. 101-116, https://doi.org/10.4080/gpcw.2011.0110.","productDescription":"16 p.","startPage":"101","endPage":"116","ipdsId":"IP-034041","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":488669,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.4080/gpcw.2011.0110","text":"Publisher Index Page"},{"id":342441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5940f9b5e4b0764e6c63eadf","contributors":{"authors":[{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537259,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70103363,"text":"70103363 - 2014 - LANDFIRE 2001 and 2008 refresh: geographic area report: Alaska","interactions":[],"lastModifiedDate":"2017-04-13T10:15:57","indexId":"70103363","displayToPublicDate":"2011-12-01T16:47:38","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"LANDFIRE 2001 and 2008 refresh: geographic area report: Alaska","docAbstract":"

The LANDFIRE National Project (LF_1.0.0) was successfully completed in 2009. The goal of LANDFIRE\nNational was to generate consistent 2001 vintage 30 meter spatial data sets for all 50 States for fire and\nother natural resource applications. This report highlights results from the continuation of LANDFIRE as\na program to update the spatial data layers through 2008. The focus of this phase of the program was\nto improve the data products and account for vegetation change across the landscape caused by\nwildland fire, fuel and vegetation treatments, and management. In addition, changes caused by insects\nand disease, storms, invasive plants, and other natural or anthropogenic events were incorporated\nwhen data were available. This report describes the LANDFIRE 2001/2008 Refresh effort to update\nexisting map layers to reflect more current conditions, focusing primarily on vegetation changes. The\neffort incorporated user feedback and new data, producing two comprehensive Refresh data product\nsets:

\n
\n

1. LANDFIRE 2001 Refresh (LF_1.0.5) enhanced LANDFIRE map layers by incorporating\nuser feedback and additional data to provide a foundation to update data to 2008. It\nwas also designed to provide users with a data set to help facilitate comparisons\nbetween 2001 and 2008 (i.e. Refresh LF_1.1.0) data sets.

\n
\n

2. LANDFIRE 2008 Refresh (LF_1.1.0) updated map layers to reflect vegetation changes\nand disturbances that occurred between 1999 and 2008.

\n
\n

In this report, we (1) address the background and provide details pertaining to why there are two\nRefresh data sets, (2) explain the requirements, planning, and procedures behind the completion and\ndelivery of the updated products for each of the data product sets, (3) show and describe results, and\n(4) provide case studies illustrating the performance of LANDFIRE National, LANDFIRE 2001 Refresh and\nLANDFIRE 2008 Refresh (LF_1.1.0) data products on some example wildland fires.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70103363","usgsCitation":"Connot, J.A., 2014, LANDFIRE 2001 and 2008 refresh: geographic area report: Alaska, ii, 68 p., https://doi.org/10.3133/70103363.","productDescription":"ii, 68 p.","numberOfPages":"71","ipdsId":"IP-055129","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":289498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":339665,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.landfire.gov/documents/AK_GA.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbc173e4b084059e8bfed1","contributors":{"authors":[{"text":"Connot, Joel A. 0000-0002-2556-3374 jconnot@usgs.gov","orcid":"https://orcid.org/0000-0002-2556-3374","contributorId":4436,"corporation":false,"usgs":true,"family":"Connot","given":"Joel","email":"jconnot@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":493260,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005390,"text":"tm11B03 - 2014 - Standard for the U.S. Geological Survey Historical Topographic Map Collection","interactions":[],"lastModifiedDate":"2014-07-31T14:26:55","indexId":"tm11B03","displayToPublicDate":"2011-09-10T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-B3","title":"Standard for the U.S. Geological Survey Historical Topographic Map Collection","docAbstract":"This document defines the digital map product of the U.S. Geological Survey (USGS) Historical Topographic Map Collection (HTMC). The HTMC is a digital archive of about 190,000 printed topographic quadrangle maps published by the USGS from the inception of the topographic mapping program in 1884 until the last paper topographic map using lithographic printing technology was published in 2006. The HTMC provides a comprehensive digital repository of all scales and all editions of USGS printed topographic maps that is easily discovered, browsed, and downloaded by the public at no cost. Each printed topographic map is scanned “as is” and captures the content and condition of each map. The HTMC provides ready access to maps that are no longer available for distribution in print. A new generation of topographic maps called “US Topo” was defined in 2009. US Topo maps, though modeled on the legacy 7.5-minute topographic maps, conform to different standards. For more information on the HTMC, see the project Web site at: http://nationalmap.gov/historical/.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section B: U.S. Geological Survey Standards in Book 11 Collection and Delineation of Spatial Data","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11B03","collaboration":"National Geospatial Program. This report is Chapter 3 of Section B: U.S. Geological Survey Standards in Book 11 Collection and Delineation of Spatial Data.","usgsCitation":"Allord, G.J., Fishburn, K.A., and Walter, J.L., 2014, Standard for the U.S. Geological Survey Historical Topographic Map Collection (Version 1, 2011; Version 2, July 2014): U.S. Geological Survey Techniques and Methods 11-B3, v, 11 p., https://doi.org/10.3133/tm11B03.","productDescription":"v, 11 p.","numberOfPages":"20","onlineOnly":"Y","costCenters":[{"id":425,"text":"National Geospatial Technical Operations Center","active":false,"usgs":true}],"links":[{"id":291495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm11B03.jpg"},{"id":291493,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11b03/"},{"id":291494,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11b03/pdf/tm11b3.pdf"}],"edition":"Version 1, 2011; Version 2, July 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b96b5e4b08c986b31b684","contributors":{"authors":[{"text":"Allord, Gregory J. gjallord@usgs.gov","contributorId":2714,"corporation":false,"usgs":true,"family":"Allord","given":"Gregory","email":"gjallord@usgs.gov","middleInitial":"J.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":352408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fishburn, Kristin A. 0000-0002-7825-556X kafishburn@usgs.gov","orcid":"https://orcid.org/0000-0002-7825-556X","contributorId":4654,"corporation":false,"usgs":true,"family":"Fishburn","given":"Kristin","email":"kafishburn@usgs.gov","middleInitial":"A.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":352409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walter, Jennifer L. 0000-0001-8183-5015 jlwalter@usgs.gov","orcid":"https://orcid.org/0000-0001-8183-5015","contributorId":5217,"corporation":false,"usgs":true,"family":"Walter","given":"Jennifer","email":"jlwalter@usgs.gov","middleInitial":"L.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":352410,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134661,"text":"70134661 - 2014 - Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California","interactions":[],"lastModifiedDate":"2018-03-05T17:08:46","indexId":"70134661","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California","docAbstract":"

The Iron Mountain Mine Superfund site in California is a prime example of an acid mine drainage (AMD) system with well developed assemblages of sulfate minerals typical for such settings. Here we present and discuss the vibrational (infrared), X-ray absorption, and Mössbauer spectra of a number of these phases, augmented by spectra of a few synthetic sulfates related to the AMD phases. The minerals and related phases studied in this work are (in order of increasing Fe2O3/FeO): szomolnokite, rozenite, siderotil, halotrichite, römerite, voltaite, copiapite, monoclinic Fe2(SO4)3, Fe2(SO4)3·5H2O, kornelite, coquimbite, Fe(SO4)(OH), jarosite and rhomboclase. Fourier transform infrared spectra in the region 750–4000 cm−1 are presented for all studied phases. Position of the FTIR bands is discussed in terms of the vibrations of sulfate ions, hydroxyl groups, and water molecules. Sulfur K-edge X-ray absorption near-edge structure (XANES) spectra were collected for selected samples. The feature of greatest interest is a series of weak pre-edge peaks whose position is determined by the number of bridging oxygen atoms between Fe3+ octahedra and sulfate tetrahedra. Mössbauer spectra of selected samples were obtained at room temperature and 80 K for ferric minerals jarosite and rhomboclase and mixed ferric–ferrous minerals römerite, voltaite, and copiapite. Values of Fe2+/[Fe2+ + Fe3+] determined by Mössbauer spectroscopy agree well with those determined by wet chemical analysis. The data presented here can be used as standards in spectroscopic work where spectra of well-characterized compounds are required to identify complex mixtures of minerals and related phases.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.03.008","usgsCitation":"Majzlan, J., Alpers, C.N., Bender Koch, C., McCleskey, R.B., Myneni, S.B., and Neil, J.M., 2014, Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California: Chemical Geology, v. 284, no. 3-4, p. 296-305, https://doi.org/10.1016/j.chemgeo.2011.03.008.","productDescription":"10 p.","startPage":"296","endPage":"305","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012404","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":296421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Iron Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.4443359375,\n 34.161818161230386\n ],\n [\n -115.11474609375001,\n 34.1890858311724\n ],\n [\n -115.0872802734375,\n 33.99347299511967\n ],\n [\n -115.40588378906249,\n 33.96158628979907\n ],\n [\n -115.4443359375,\n 34.161818161230386\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"284","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5480342fe4b0ac64d148dcfd","contributors":{"authors":[{"text":"Majzlan, Juraj","contributorId":127677,"corporation":false,"usgs":false,"family":"Majzlan","given":"Juraj","email":"","affiliations":[{"id":7107,"text":"Univ. of Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":526279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bender Koch, Christian","contributorId":127676,"corporation":false,"usgs":false,"family":"Bender Koch","given":"Christian","email":"","affiliations":[{"id":7106,"text":"Royal Vet. and Ag. Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":526278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":526277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Myneni, Satish B.C.","contributorId":127678,"corporation":false,"usgs":false,"family":"Myneni","given":"Satish","email":"","middleInitial":"B.C.","affiliations":[{"id":7108,"text":"Princeton Univ.","active":true,"usgs":false}],"preferred":false,"id":526280,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neil, John M.","contributorId":13957,"corporation":false,"usgs":false,"family":"Neil","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":526281,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70127344,"text":"70127344 - 2014 - Kaolin","interactions":[],"lastModifiedDate":"2014-09-30T10:15:34","indexId":"70127344","displayToPublicDate":"2010-06-01T10:13:41","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Kaolin","docAbstract":"The article reports on the market performance of kaolin in the U.S. in 2009 and presents an outlook for its 2010 performance. There was a decline in the domestic sales of kaolin from 6.74 measurement ton (Mt) to 5.2 Mt. Companies in the country engaged in kaolin production include Advanced Primary Minerals Corp., Applied Minerals Inc., and Daleco Resources Corp. The decline in world production of kaolin from 2008 to 2009 is also noted.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Mining, Metallurgy and Exploration","publisherLocation":"Littleton, CO","usgsCitation":"Virta, R.L., 2014, Kaolin: Mining Engineering, v. 62, no. 6, 1 p.","productDescription":"1 p.","numberOfPages":"1","ipdsId":"IP-012727","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":294616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542bc63de4b0abfb4c80983b","contributors":{"authors":[{"text":"Virta, Robert L. rvirta@usgs.gov","contributorId":395,"corporation":false,"usgs":true,"family":"Virta","given":"Robert","email":"rvirta@usgs.gov","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":502313,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":4908,"text":"twri09A2 - 2014 - Chapter A2. Selection of equipment for water sampling","interactions":[],"lastModifiedDate":"2021-05-27T14:03:25.956426","indexId":"twri09A2","displayToPublicDate":"1999-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A2","displayTitle":"Chapter A2. Selection of Equipment for Water Sampling","title":"Chapter A2. Selection of equipment for water sampling","docAbstract":"

The National Field Manual for the Collection of Water-Quality Data (National Field Manual) describes protocols and provides guidelines for U.S. Geological Survey (USGS) personnel who collect data used to assess the quality of the Nation's surface-water and ground-water resources. This chapter of the manual addresses the selection of equipment commonly used by USGS personnel to collect and process water-quality samples. Each chapter of the National Field Manual is published separately and revised periodically. Newly published and revised chapters will be announced on the USGS Home Page on the World Wide Web under 'New Publications of the U.S. Geological Survey.'

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/twri09A2","usgsCitation":"Wilde, F.D., Sandstrom, M.W., and Skrobialowski, S.C., 2014, Chapter A2. Selection of equipment for water sampling (Version 3.1, Revised April 2014 (previous version 2.0, revised March 2003, original version published August 1998)): U.S. Geological Survey Techniques of Water-Resources Investigations 09-A2, vii, 78 p., https://doi.org/10.3133/twri09A2.","productDescription":"vii, 78 p.","numberOfPages":"86","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":363695,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-AO","linkHelpText":"- General Introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":651,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a2/Chapter2_V3-1.pdf","text":"Report","size":"5.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TWRI 09A2","linkHelpText":"- Version 3.1"},{"id":362083,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/twri/twri9a2/Ch2.pdf","text":"Report - August 1998","size":"785 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Original"},{"id":362084,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/twri/twri9a2/Chapter2_V2.pdf","text":"Report - March 2003","linkHelpText":"- Version 2.0"},{"id":139885,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/twri/twri9a2/coverthb.jpg"}],"edition":"Version 3.1, Revised April 2014 (previous version 2.0, revised March 2003, original version published August 1998)","contact":"

Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Email: nfm@usgs.gov

","tableOfContents":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e5bd9","contributors":{"authors":[{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":92240,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska","email":"fwilde@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":759374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":759372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skrobialowski, Stanley C. 0000-0001-8627-0279 sski@usgs.gov","orcid":"https://orcid.org/0000-0001-8627-0279","contributorId":1402,"corporation":false,"usgs":true,"family":"Skrobialowski","given":"Stanley","email":"sski@usgs.gov","middleInitial":"C.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":759373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":38313,"text":"twri09A7.1 - 2014 - Chapter A7. Section 7.1. Fecal indicator bacteria","interactions":[],"lastModifiedDate":"2026-04-14T14:31:54.169658","indexId":"twri09A7.1","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A7.1","displayTitle":"Chapter A7. Section 7.1. Fecal Indicator Bacteria","title":"Chapter A7. Section 7.1. Fecal indicator bacteria","docAbstract":"

Fecal indicator bacteria are used to assess the microbiological quality of water because, although not typically disease causing, they are correlated with the presence of several waterborne disease-causing organisms. The concentration of indicator bacteria is a measure of water safety for body-contact recreation or for consumption. This report provides information on the equipment, sampling protocols, and identification, enumeration, and calculation procedures that are in standard use by U.S. Geological Survey (USGS) personnel for the collection of data on fecal indicator bacteria. Each chapter of the National Field Manual is published separately and revised periodically. Newly published and revised chapters will be announced on the USGS Home Page on the World Wide Web under 'New Publications of the U.S. Geological Survey.'

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/twri09A7.1","usgsCitation":"Myers, D.N., Stoeckel, D.M., Bushon, R.N., Francy, D.S., and Brady A.M.G., 2014, Fecal indicator bacteria (ver. 2.1, revised May 2014): U.S. Geological Survey Techniques of Water-Resources Investigations 09–A7.1, 73 p., https://doi.org/10.3133/twri09A7.1.","productDescription":"Documents: 73 p., 73 p., 64 p.; Related Work","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":363225,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.er.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-A0","linkHelpText":"- General Introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":363187,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a7/twri9a7_7.1_ver2.0_5-12-14.pdf","text":"Report February 2007 (Section 7.1)","linkHelpText":"- Version 2.0"},{"id":363188,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a7/twri9a7_7.1_ver1.2.pdf","text":"Report November 2004 (Section 7.1)","linkHelpText":"- Version 1.2"},{"id":165252,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":363183,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a7/twri9a7_7.1_ver2.1.pdf","text":"Report Chapter 7.1 - Version 2.1, May 2014","size":"622 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TWRI 9A7.1","linkHelpText":"- Fecal Indicator Bacteria"}],"edition":"Version 1.2, Revised Nov 2004","contact":"

Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Email: nfm@usgs.gov

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The purpose of this manual is to support use of satellite-based remote sensing for statewide lake water-quality monitoring in Maine. The authors describe step-by-step methods that combine Landsat and MODIS satellite data with field-collected Secchi disk data for statewide assessment of lake water clarity. Landsat can be simul­taneously used to assess more than Maine 1,000 lakes ≥ 8 ha, whereas MODIS can be used to assess a maximum of 364 lakes ≥ 100 ha (250-m image resolution) or 83 lakes ≥ 400 ha (500-m image resolution). Although the methods were specifically developed for Maine, other states or non-Maine agen­cies may find these methods as useful starting points in developing their own protocols for regional remote lake monitoring.

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McCullough","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":641009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":641008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sader, Steven A.","contributorId":171436,"corporation":false,"usgs":false,"family":"Sader","given":"Steven","email":"","middleInitial":"A.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":641010,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70045222,"text":"ofr20121205 - 2013 - Coal fields of the conterminous United States—National Coal Resource Assessment updated version","interactions":[],"lastModifiedDate":"2021-12-16T17:29:20.544054","indexId":"ofr20121205","displayToPublicDate":"2021-12-16T12:32:00","publicationYear":"2013","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":"2012-1205","displayTitle":"Coal fields of the conterminous United States—National Coal Resource Assessment updated version","title":"Coal fields of the conterminous United States—National Coal Resource Assessment updated version","docAbstract":"This map sheet with accompanying Geographic Information System (GIS) project is an update of the existing U.S. Geological Survey (USGS) Conterminous U.S. Coal Fields map. This update was compiled using data primarily from the USGS National Coal Resource Assessment (NCRA) and information from other published maps. The five regions examined by NCRA (Eastern, Gulf Coast, Interior, Rocky Mountain, and Northern Great Plains) constituted 93 percent of U.S. coal production at the time of the assessments. The map sheet shows aerial extent, rank, province, name (region and field), and age information, which are also attributes of the GIS project. Due to changing technological and economic constraints for coal usage, along with the potential for geologic carbon dioxide sequestration, this map sheet and the GIS component of this report do not differentiate between potentially minable coal and uneconomic coal. Additional figures on the map sheet show coal formations, current production by State, coal rank definitions, and charts showing historical trends of coal production.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121205","usgsCitation":"East, J.A., 2013, Coal fields of the conterminous United States—National Coal Resource Assessment updated version: U.S. Geological Survey Open-File Report 2012-1205, Map: 1 Sheet: 60 x 39 inches; Downloads Directory, https://doi.org/10.3133/ofr20121205.","productDescription":"Map: 1 Sheet: 60 x 39 inches; Downloads Directory","costCenters":[],"links":[{"id":270522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121205.png"},{"id":391168,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2012/1205/Coal_Fields_Simplified.pdf","text":"Simplified presentation format map","size":"26.4 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Coal Fields of the Conterminous United States—National Coal Resource Assessment Updated Version in Simplified Presentation Format (2021)"},{"id":270520,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1205/pdf/Coal_Fields_Map.pdf","text":"Report","size":"44.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2012-1205"},{"id":270519,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1205/index.html"},{"id":270521,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1205/Downloads"},{"id":391169,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2012/1205/simplified-presentation-format.docx","text":"Simplified presentation format explanation","size":"12.5 KB"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -130.0,22.0 ], [ -130.0,53.0 ], [ -62.0,53.0 ], [ -62.0,22.0 ], [ -130.0,22.0 ] ] ] } } ] }","publicComments":"Scale: 1:5,000,000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515befd8e4b075500ee5c9fa","contributors":{"authors":[{"text":"East, Joseph A. 0000-0003-4226-9174 jeast@usgs.gov","orcid":"https://orcid.org/0000-0003-4226-9174","contributorId":2747,"corporation":false,"usgs":true,"family":"East","given":"Joseph","email":"jeast@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":477063,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70043821,"text":"sir20125282 - 2013 - Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York","interactions":[],"lastModifiedDate":"2021-11-17T01:53:35.677134","indexId":"sir20125282","displayToPublicDate":"2021-11-16T08:55:00","publicationYear":"2013","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":"2012-5282","displayTitle":"Hydrogeology of the Susquehanna River Valley-Fill Aquifer System and Adjacent Areas in Eastern Broome and Southeastern Chenango Counties, New York","title":"Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York","docAbstract":"The hydrogeology of the valley-fill aquifer system along a 32-mile reach of the Susquehanna River valley and adjacent areas was evaluated in eastern Broome and southeastern Chenango Counties, New York. The surficial geology, inferred ice-marginal positions, and distribution of stratified-drift aquifers were mapped from existing data. Ice-marginal positions, which represent pauses in the retreat of glacial ice from the region, favored the accumulation of coarse-grained deposits whereas more steady or rapid ice retreat between these positions favored deposition of fine-grained lacustrine deposits with limited coarse-grained deposits at depth. Unconfined aquifers with thick saturated coarse-grained deposits are the most favorable settings for water-resource development, and three several-mile-long sections of valley were identified (mostly in Broome County) as potentially favorable: (1) the southernmost valley section, which extends from the New York–Pennsylvania border to about 1 mile north of South Windsor, (2) the valley section that rounds the west side of the umlaufberg (an isolated bedrock hill within a valley) north of Windsor, and (3) the east–west valley section at the Broome County–Chenango County border from Nineveh to East of Bettsburg (including the lower reach of the Cornell Brook valley). Fine-grained lacustrine deposits form extensive confining units between the unconfined areas, and the water-resource potential of confined aquifers is largely untested. Recharge, or replenishment, of these aquifers is dependent not only on infiltration of precipitation directly on unconfined aquifers, but perhaps more so from precipitation that falls in adjacent upland areas. Surface runoff and shallow groundwater from the valley walls flow downslope and recharge valley aquifers. Tributary streams that drain upland areas lose flow as they enter main valleys on permeable alluvial fans. This infiltrating water also recharges valley aquifers. Current (2012) use of water resources in the area is primarily through domestic wells, most of which are completed in fractured bedrock in upland areas. A few villages in the Susquehanna River valley have supply wells that draw water from beneath alluvial fans and near the Susquehanna River, which is a large potential source of water from induced infiltration.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125282","collaboration":"Prepared in cooperation with New York State Department of Environmental Conservation","usgsCitation":"Heisig, P.M., 2013, Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York: U.S. Geological Survey Scientific Investigations Report 2012–5282, 21 p., at https://pubs.usgs.gov/sir/2012/5282.","productDescription":"vii, 21 p.; 1 Appendix; Map: 1 Sheet: 30.50 x 38.00 inches","startPage":"i","endPage":"21","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":267842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5282.gif"},{"id":267840,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5282/appendix1/Appendix%201.xlsx"},{"id":267839,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5282/"},{"id":267841,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5282/plate.html"}],"scale":"24000","country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.76,40.48 ], [ -79.76,45.02 ], [ -71.85,45.02 ], [ -71.85,40.48 ], [ -79.76,40.48 ] ] ] } } ] }","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2013-02-20","noUsgsAuthors":false,"publicationDate":"2013-02-20","publicationStatus":"PW","scienceBaseUri":"5125f087e4b09d00759cd058","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474273,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048771,"text":"ds69FF - 2013 - Supporting data for the U.S. Geological Survey 2012 world assessment of undiscovered oil and gas resources","interactions":[],"lastModifiedDate":"2020-03-27T09:50:57","indexId":"ds69FF","displayToPublicDate":"2020-03-27T11:00:00","publicationYear":"2013","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":"69","chapter":"FF","displayTitle":"Supporting Data for the U.S. Geological Survey 2012 World Assessment of Undiscovered Oil and Gas Resources","title":"Supporting data for the U.S. Geological Survey 2012 world assessment of undiscovered oil and gas resources","docAbstract":"This report provides information pertaining to the 2012 U.S. Geological Survey assessment of undiscovered, technically recoverable conventional oil and gas resources of the world, exclusive of the United States. Some of the results were previously published, mostly in USGS fact sheet series.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69FF","usgsCitation":"U.S. Geological Survey World Conventional Resources Assessment Team, 2013, Supporting data for the U.S. Geological Survey 2012 world assessment of undiscovered oil and gas resources: U.S. Geological Survey Digital Data Series DDS–69–FF, various pages, https://doi.org/10.3133/ds69FF.","productDescription":"Readme; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":278671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/dds69FF.jpg"},{"id":371099,"rank":6,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/tabtables.zip","text":"Tab tables","size":"901 KB","linkFileType":{"id":6,"text":"zip"}},{"id":371098,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/GIS.zip","text":"GIS","size":"3.08MB","linkFileType":{"id":6,"text":"zip"}},{"id":278668,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/ReadMe.txt","text":"Read Me","size":"94.7 KB","linkFileType":{"id":2,"text":"txt"}},{"id":371100,"rank":7,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/montecarlo.zip","text":"Monte Carlo Outputs","linkFileType":{"id":6,"text":"zip"}},{"id":371096,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/geodatabase.zip","text":"Geo database","size":"102 MB","linkFileType":{"id":6,"text":"zip"}},{"id":371097,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ff/exceltables.zip","text":"Excel tables","size":"3.43 MB","linkFileType":{"id":6,"text":"zip"}}],"contact":"

Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046

","publishedDate":"2013-11-01","noUsgsAuthors":false,"publicationDate":"2013-11-01","publicationStatus":"PW","scienceBaseUri":"5278c215e4b0c04ac3417aa1","contributors":{"authors":[{"text":"World Conventional Resources Assessment Team, USGS","contributorId":17127,"corporation":false,"usgs":true,"family":"World Conventional Resources Assessment Team","given":"USGS","email":"","affiliations":[],"preferred":false,"id":485602,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045244,"text":"ofr20121247 - 2013 - The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon","interactions":[],"lastModifiedDate":"2020-01-13T06:18:45","indexId":"ofr20121247","displayToPublicDate":"2020-01-10T14:00:00","publicationYear":"2013","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":"2012-1247","displayTitle":"The Shoreline Management Tool—An ArcMap Tool for Analyzing Water Depth, Inundated Area, Volume, and Selected Habitats, with an Example for the Lower Wood River Valley, Oregon","title":"The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon","docAbstract":"

The Shoreline Management Tool is a geographic information system (GIS) based program developed to assist water- and land-resource managers in assessing the benefits and effects of changes in surface-water stage on water depth, inundated area, and water volume. Additionally, the Shoreline Management Tool can be used to identify aquatic or terrestrial habitat areas where conditions may be suitable for specific plants or animals as defined by user-specified criteria including water depth, land-surface slope, and land-surface aspect. The tool can also be used to delineate areas for use in determining a variety of hydrologic budget components such as surface-water storage, precipitation, runoff, or evapotranspiration.

The Shoreline Management Tool consists of two parts, a graphical user interface for use with Esri™ ArcMap™ GIS software to interact with the user to define scenarios and map results, and a spreadsheet in Microsoft® Excel® developed to display tables and graphs of the results. The graphical user interface allows the user to define a scenario consisting of an inundation level (stage), land areas (parcels), and habitats (areas meeting user-specified conditions) based on water depth, slope, and aspect criteria. The tool uses data consisting of land-surface elevation, tables of stage/volume and stage/area, and delineated parcel boundaries to produce maps (data layers) of inundated areas and areas that meet the habitat criteria. The tool can be run in a Single-Time Scenario mode or in a Time-Series Scenario mode, which uses an input file of dates and associated stages. The spreadsheet part of the tool uses a macro to process the results from the graphical user interface to create tables and graphs of inundated water volume, inundated area, dry area, and mean water depth for each land parcel based on the user-specified stage. The macro also creates tables and graphs of the area, perimeter, and number of polygons comprising the user-specified habitat areas within each parcel.

The Shoreline Management Tool is highly transferable, using easily generated or readily available data. The capabilities of the tool are demonstrated using data from the lower Wood River Valley adjacent to Upper Klamath and Agency Lakes in southern Oregon.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121247","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Snyder, D.T., Haluska, T.L., and Respini-Irwin, D., 2013, The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon: U.S. Geological Survey Open-File Report 2012–1247, 86 p. (Also available at https://pubs.usgs.gov/of/2012/1247/.)","productDescription":"Report: viii, 86 p.; 2 Videos: 3 minutes; Companion File","numberOfPages":"98","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":270535,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121247.jpg","text":"Report"},{"id":371153,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1247/videos.zip","text":"Videos","size":"45.4 MB","linkFileType":{"id":6,"text":"zip"}},{"id":270531,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1247/ofr20121247.pdf","text":"Report","size":"9.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2012-1247"},{"id":371154,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1247/faq.pdf","text":"Shoreline Management Tool—Frequently Asked Questions","size":"105 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":371166,"rank":5,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_OFR2012-1247_v20130410.zip","text":"Generic version","size":"39 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Intended for use in any area. Required input data must be prepared by the users as described in the report. Example Python scripts are provided to assist with the data preparation. Includes all ancillary files except those specific to the lower Wood River Valley example."},{"id":371167,"rank":6,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_NAVD88_OFR2012-1247_v20130410.zip","text":"Example version for the Lower Wood River Valley, Oregon - NAVD88","size":"1.9 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Contains all required data for use in the lower Wood River Valley of southern Oregon. Ready to run. Utilizes the North American Vertical Datum of 1988 (NAVD88) for elevation reference. Useful for training purposes or examination of input datasets and output results. Includes all ancillary files."},{"id":371168,"rank":7,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_NGVD29_OFR2012-1247_v20130410.zip","text":"Example version for the Lower Wood River Valley, Oregon - NGVD29/UKLVD","size":"2.0 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Contains all required data for use in the lower Wood River Valley of southern Oregon. Ready to run. Utilizes the National Geodetic Vertical Datum of 1929 (NGVD29) for elevation reference. Also contains data for use with the Upper Klamath Lake Vertical Datum (UKLVD). Useful for training purposes or examination of input datasets and output results. Includes all ancillary files."}],"country":"United States","state":"Oregon","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,42.0 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,42.0 ], [ -124.61,42.0 ] ] ] } } ] }","contact":"

Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201

Mailing List
Request to be notified of updates or
receive useful information about the
Shoreline Management Tool

","tableOfContents":"","publishedDate":"2013-04-03","revisedDate":"2013-04-26","noUsgsAuthors":false,"publicationDate":"2013-04-03","publicationStatus":"PW","scienceBaseUri":"515d4162e4b0803bd2eec4ff","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":477119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haluska, Tana 0000-0001-6307-4769 thaluska@usgs.gov","orcid":"https://orcid.org/0000-0001-6307-4769","contributorId":1708,"corporation":false,"usgs":true,"family":"Haluska","given":"Tana","email":"thaluska@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Respini-Irwin, Darius","contributorId":51177,"corporation":false,"usgs":true,"family":"Respini-Irwin","given":"Darius","email":"","affiliations":[],"preferred":false,"id":477121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}