{"pageNumber":"1926","pageRowStart":"48125","pageSize":"25","recordCount":184617,"records":[{"id":98093,"text":"ofr20091264 - 2010 - Hydraulic Property and Soil Textural Classification Measurements for Rainier Mesa, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ofr20091264","displayToPublicDate":"2010-01-06T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1264","title":"Hydraulic Property and Soil Textural Classification Measurements for Rainier Mesa, Nevada Test Site, Nevada","docAbstract":"This report presents particle size analysis, field-saturated hydraulic conductivity measurements, and qualitative descriptions of surficial materials at selected locations at Rainier Mesa, Nevada. Measurements and sample collection were conducted in the Rainier Mesa area, including unconsolidated sediments on top of the mesa, an ephemeral wash channel near the mesa edge, and dry U12n tunnel pond sediments below the mesa. Particle size analysis used a combination of sieving and optical diffraction techniques. Field-saturated hydraulic conductivity measurements employed a single-ring infiltrometer with analytical formulas that correct for falling head and spreading outside the ring domain. These measurements may prove useful to current and future efforts at Rainier Mesa aimed at understanding infiltration and its effect on water fluxes and radionuclide transport in the unsaturated zone.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091264","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration, Nevada Site Office under Interagency Agreement DE-AI52-07NV28100","usgsCitation":"Ebel, B.A., and Nimmo, J.R., 2010, Hydraulic Property and Soil Textural Classification Measurements for Rainier Mesa, Nevada Test Site, Nevada: U.S. Geological Survey Open-File Report 2009-1264, iv, 17 p., https://doi.org/10.3133/ofr20091264.","productDescription":"iv, 17 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":672,"text":"Western Region Science Coordinator for Water","active":false,"usgs":true}],"links":[{"id":125876,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1264.jpg"},{"id":13329,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1264/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.75,36.5 ], [ -116.75,37.5 ], [ -115.75,37.5 ], [ -115.75,36.5 ], [ -116.75,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db687d41","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":304128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":304127,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230191,"text":"70230191 - 2010 - The Western Airborne Contaminant Assessment Project (WACAP): An interdisciplinary evaluation of the impacts of airborne contaminants in Western U.S. National Parks","interactions":[],"lastModifiedDate":"2022-04-04T15:02:34.044577","indexId":"70230191","displayToPublicDate":"2010-01-05T09:42:11","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"The Western Airborne Contaminant Assessment Project (WACAP): An interdisciplinary evaluation of the impacts of airborne contaminants in Western U.S. National Parks","docAbstract":"

The concept of a nature reserve such as a National Park is to maintain a location for the enjoyment and study of a pristine environment. However, many pollutants are now known to spread far and wide from their (point[s] of) origin. To grasp the extent of pervasive and boundary-less pollution, the ambitious WACAP study evaluated contaminant data collected from Western U.S. National Parks in various media. In this Feature, Landers et al. summarize the report and speak to its utility moving forward.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.1021/es901866e","usgsCitation":"Landers, D.H., Simonich, S.M., Jaffe, D.A., Geiser, L., Campbell, D.H., Schwindt, A.R., Schreck, C., Kent, M., Hafner, W., Taylor, H.E., Hageman, K.J., Usenko, S., Ackerman, L., Schrlau, J., Rose, N., Blett, T., and Erway, M.M., 2010, The Western Airborne Contaminant Assessment Project (WACAP): An interdisciplinary evaluation of the impacts of airborne contaminants in Western U.S. National Parks: Environmental Science and Technology, v. 44, no. 3, p. 855-859, https://doi.org/10.1021/es901866e.","productDescription":"5 p.","startPage":"855","endPage":"859","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":475754,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es901866e","text":"Publisher Index 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-124.45312499999999,\n 37.85750715625203\n ],\n [\n -120.41015624999999,\n 32.84267363195431\n ],\n [\n -114.9609375,\n 33.137551192346145\n ],\n [\n -109.51171875,\n 30.44867367928756\n ],\n [\n -100.37109375,\n 29.53522956294847\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Landers, Dixon H.","contributorId":173699,"corporation":false,"usgs":false,"family":"Landers","given":"Dixon","email":"","middleInitial":"H.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":839427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simonich, Staci 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dhcampbe@usgs.gov","contributorId":1670,"corporation":false,"usgs":true,"family":"Campbell","given":"Donald","email":"dhcampbe@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":839431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwindt, Adam R.","contributorId":173697,"corporation":false,"usgs":false,"family":"Schwindt","given":"Adam","email":"","middleInitial":"R.","affiliations":[{"id":25665,"text":"Oregon State University, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":839432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schreck, Carl 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":204967,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":839433,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kent, Michael","contributorId":7177,"corporation":false,"usgs":true,"family":"Kent","given":"Michael","affiliations":[],"preferred":false,"id":839434,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hafner, Will","contributorId":289602,"corporation":false,"usgs":false,"family":"Hafner","given":"Will","email":"","affiliations":[],"preferred":false,"id":839435,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":839436,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hageman, Kimberly J.","contributorId":181890,"corporation":false,"usgs":false,"family":"Hageman","given":"Kimberly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":839437,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Usenko, Sasha","contributorId":289603,"corporation":false,"usgs":false,"family":"Usenko","given":"Sasha","email":"","affiliations":[],"preferred":false,"id":839438,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ackerman, Luke","contributorId":289604,"corporation":false,"usgs":false,"family":"Ackerman","given":"Luke","email":"","affiliations":[],"preferred":false,"id":839439,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schrlau, Jill","contributorId":289605,"corporation":false,"usgs":false,"family":"Schrlau","given":"Jill","email":"","affiliations":[],"preferred":false,"id":839440,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rose, Neil","contributorId":289606,"corporation":false,"usgs":false,"family":"Rose","given":"Neil","affiliations":[],"preferred":false,"id":839441,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Blett, Tamara","contributorId":61070,"corporation":false,"usgs":true,"family":"Blett","given":"Tamara","affiliations":[],"preferred":false,"id":839442,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Erway, Marilyn M.","contributorId":289607,"corporation":false,"usgs":false,"family":"Erway","given":"Marilyn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":839443,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70207676,"text":"70207676 - 2010 - 40Ar/39Ar dating of Silurian and late Devonian cleavages in lower greenschist-facies rocks in the Westminster terrane, Maryland, USA","interactions":[],"lastModifiedDate":"2020-01-03T12:45:30","indexId":"70207676","displayToPublicDate":"2010-01-03T12:28:22","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"40Ar/39Ar dating of Silurian and late Devonian cleavages in lower greenschist-facies rocks in the Westminster terrane, Maryland, USA","title":"40Ar/39Ar dating of Silurian and late Devonian cleavages in lower greenschist-facies rocks in the Westminster terrane, Maryland, USA","docAbstract":"

40Ar/39Ar dating of muscovite, biotite, and K-feldspar combined with microstructural analysis of lower greenschist-facies, polymetamorphic, phyllitic rocks, and marbles were successfully used to decipher the thermal and tectonic histories of the Westminster and adjacent terranes in western Maryland. The presence of unreset detrital muscovite in some samples demonstrates that temperatures in these rocks never exceeded the closure temperature for argon diffusion in muscovite, ∼350 ± 50 °C. Minor biotite in some arkoses constrains the minimum metamorphic temperatures to ≥∼320 °C. These data show an Early Silurian (ca. 430 Ma) cleavage in the western part of the Westminster terrane and a Late Devonian event (ca. 370 Ma) in the eastern Westminster and adjacent Potomac terranes. These two cleavage domains are separated by the NE-trending, newly identified Parrs Ridge fault zone. We propose that the sinistral transpressive collision of the Carolina terrane with Laurentia emplaced the western portion of the Westminster terrane in the Pennsylvania embayment along the Martic fault where it was folded and cleaved at ca. 430 Ma but otherwise largely sheltered from later deformation. The later Late Devonian dextral transpressive accretion of the outboard Potomac terrane thrust rocks of the eastern Westminster and Potomac terranes to the west, causing Late Devonian (360–370 Ma) S2 cleavage in these rocks, but only minimal discrete overprinting S3 cleavages in rocks farther west. Final juxtaposition and thermal convergence of these terranes occurred along reactivated dextral strike-slip faults in the Alleghanian at ca. 300 Ma.

","language":"English","publisher":"GSA","doi":"10.1130/B30030.1","usgsCitation":"Wintsch, R., Kunk, M.J., Mulvey, B., and Southworth, C.S., 2010, 40Ar/39Ar dating of Silurian and late Devonian cleavages in lower greenschist-facies rocks in the Westminster terrane, Maryland, USA: GSA Bulletin, v. 122, no. 5-6, p. 658-677, https://doi.org/10.1130/B30030.1.","productDescription":"20 p.","startPage":"658","endPage":"677","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":370982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Westminster terrane","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.2451171875,\n 38.13455657705411\n ],\n [\n -76.22314453125,\n 38.12591462924157\n ],\n [\n -75.93200683593749,\n 39.48284540453334\n ],\n [\n -76.57470703125,\n 39.58452390500424\n ],\n [\n -77.0361328125,\n 38.86109762182888\n ],\n [\n -76.2451171875,\n 38.13455657705411\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2009-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Wintsch, R. P.","contributorId":116962,"corporation":false,"usgs":true,"family":"Wintsch","given":"R. P.","affiliations":[],"preferred":false,"id":778849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunk, Michael J. 0000-0003-4424-7825 mkunk@usgs.gov","orcid":"https://orcid.org/0000-0003-4424-7825","contributorId":200968,"corporation":false,"usgs":true,"family":"Kunk","given":"Michael","email":"mkunk@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":778850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mulvey, Brian","contributorId":192712,"corporation":false,"usgs":false,"family":"Mulvey","given":"Brian","email":"","affiliations":[],"preferred":false,"id":778851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Southworth, C. Scott 0000-0002-7976-7807 ssouthwo@usgs.gov","orcid":"https://orcid.org/0000-0002-7976-7807","contributorId":1608,"corporation":false,"usgs":true,"family":"Southworth","given":"C.","email":"ssouthwo@usgs.gov","middleInitial":"Scott","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":778852,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200248,"text":"70200248 - 2010 - Environmental fate of Ra in cation-exchange regeneration brine waste disposed to septic tanks, New Jersey Coastal Plain, USA: migration to the water table","interactions":[],"lastModifiedDate":"2018-10-11T18:33:58","indexId":"70200248","displayToPublicDate":"2010-01-01T18:33:12","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2263,"text":"Journal of Environmental Radioactivity","active":true,"publicationSubtype":{"id":10}},"title":"Environmental fate of Ra in cation-exchange regeneration brine waste disposed to septic tanks, New Jersey Coastal Plain, USA: migration to the water table","docAbstract":"

Fate of radium (Ra) in liquid regeneration brine wastes from water softeners disposed to septic tanks in the New Jersey Coastal Plain was studied. Before treatment, combined Ra (226Ra plus 228Ra) concentrations (maximum, 1.54 Bq L−1) exceeded the 0.185 Bq L−1 Maximum Contaminant Level in 4 of 10 studied domestic-well waters (median pH, 4.90). At the water table downgradient from leachfields, combined Ra concentrations were low (commonly ≤0.019 Bq L−1) when pH was >5.3, indicating sequestration; when pH was ≤5.3 (acidic), concentrations were elevated (maximum, 0.985 Bq L−1 – greater than concentrations in corresponding discharged septic-tank effluents (maximum, 0.243 Bq L−1)), indicating Ra mobilization from leachfield sediments. Confidence in quantification of Ra mass balance was reduced by study design limitations, including synoptic sampling of effluents and ground waters, and large uncertainties associated with analytical methods. The trend of Ra mobilization in acidic environments does match observations from regional water-quality assessments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvrad.2009.08.007","usgsCitation":"Szabo, Z., Jacobsen, E., Kraemer, T.F., and Parsa, B., 2010, Environmental fate of Ra in cation-exchange regeneration brine waste disposed to septic tanks, New Jersey Coastal Plain, USA: migration to the water table: Journal of Environmental Radioactivity, v. 101, no. 1, p. 33-44, https://doi.org/10.1016/j.jenvrad.2009.08.007.","productDescription":"12 p.","startPage":"33","endPage":"44","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":358312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"New Jersey Coastal Plain","volume":"101","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c76de4b034bf6a7f5892","contributors":{"authors":[{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":138827,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobsen, Eric jacobsen@usgs.gov","contributorId":3864,"corporation":false,"usgs":true,"family":"Jacobsen","given":"Eric","email":"jacobsen@usgs.gov","affiliations":[],"preferred":true,"id":748374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraemer, Thomas F. tkraemer@usgs.gov","contributorId":3443,"corporation":false,"usgs":true,"family":"Kraemer","given":"Thomas","email":"tkraemer@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":748375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parsa, Bahman","contributorId":28487,"corporation":false,"usgs":true,"family":"Parsa","given":"Bahman","email":"","affiliations":[],"preferred":false,"id":748376,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043419,"text":"70043419 - 2010 - Modeling migratory energetics of Connecticut River American shad (Alosa sapidissima): implications for the conservation of an iteroparous anadromous fish","interactions":[],"lastModifiedDate":"2016-08-21T14:48:23","indexId":"70043419","displayToPublicDate":"2010-01-01T16:39:00","publicationYear":"2010","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":"Modeling migratory energetics of Connecticut River American shad (Alosa sapidissima): implications for the conservation of an iteroparous anadromous fish","docAbstract":"
\n
\n
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We present a simulation model in which individual adult migrant American shad (Alosa sapidissima) ascend the Connecticut River and spawn, and survivors return to the marine environment. Our approach synthesizes bioenergetics, reproductive biology, and behavior to estimate the effects of migratory distance and delays incurred at dams on spawning success and survival. We quantified both the magnitude of effects and the consequences of uncertainty in the estimates of input variables. Behavior, physiology, and energetics strongly affected both the distribution of spawning effort and survival to the marine environment. Delays to both upstream and downstream movements had dramatic effects on spawning success, determining total fecundity and spatial extent of spawning. Delays, combined with cues for migratory reversal, also determined the likelihood of survival. Spawning was concentrated in the immediate vicinity of dams and increased with greater migratory distance and delays to downstream migration. More research is needed on reproductive biology, behavior, energetics, and barrier effects to adequately understand the interplay of the various components of this model; it does provide a framework, however, that suggests that provision of upstream passage at dams in the absence of expeditious downstream passage may increase spawning success — but at the expense of reduced iteroparity. 

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","language":"English","publisher":"NRC Research Press","doi":"10.1139/F10-026","usgsCitation":"Castro-Santos, T., and Letcher, B., 2010, Modeling migratory energetics of Connecticut River American shad (Alosa sapidissima): implications for the conservation of an iteroparous anadromous fish: Canadian Journal of Fisheries and Aquatic Sciences, v. 67, no. 5, p. 806-830, https://doi.org/10.1139/F10-026.","productDescription":"25 p.","startPage":"806","endPage":"830","numberOfPages":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008635","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":279639,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts, New Hampshire, Vermont","otherGeospatial":"Connecticut River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.8229,41.3232 ], [ -72.8229,44.2845 ], [ -72.1252,44.2845 ], [ -72.1252,41.3232 ], [ -72.8229,41.3232 ] ] ] } } ] }","volume":"67","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52947f80e4b01cca2b116114","contributors":{"authors":[{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":32573,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[],"preferred":false,"id":473555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":24774,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473554,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200864,"text":"70200864 - 2010 - The role of material properties in the cratering record of young platy-ridged lava on Mars","interactions":[],"lastModifiedDate":"2018-11-13T14:02:23","indexId":"70200864","displayToPublicDate":"2010-01-01T16:34:50","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The role of material properties in the cratering record of young platy-ridged lava on Mars","docAbstract":"

Platy‐ridged surfaces in the Elysium Planitia region of Mars exhibit different crater densities on rafted plates and polygonally patterned areas between them. Rather than being indicative of different ages, these differences provide insight into the variable strength of different types of lava surface. The sizes of small craters, and the resulting size‐frequency distribution (SFD), depend on the material strength of target surfaces. Brecciated lava surfaces are likely to have higher crater densities than coherent lava.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GL042869","usgsCitation":"Dundas, C.M., Keszthelyi, L., Bray, V.J., and McEwen, A.S., 2010, The role of material properties in the cratering record of young platy-ridged lava on Mars: Geophysical Research Letters, v. 37, no. 12, p. 1-5, https://doi.org/10.1029/2010GL042869.","productDescription":"L12203; 5 p.","startPage":"1","endPage":"5","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":359286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"12","noUsgsAuthors":false,"publicationDate":"2010-06-29","publicationStatus":"PW","scienceBaseUri":"5be40825e4b0b3fc5cf7cc14","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":750970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":750971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bray, Veronica J.","contributorId":204232,"corporation":false,"usgs":false,"family":"Bray","given":"Veronica","email":"","middleInitial":"J.","affiliations":[{"id":36888,"text":"Lunar and Planetary Laboratory, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":750972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":750973,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042793,"text":"70042793 - 2010 - Historical arroyo formation: Documentation of magnitude and timing of historical changes using repeat photography","interactions":[],"lastModifiedDate":"2013-08-12T16:25:04","indexId":"70042793","displayToPublicDate":"2010-01-01T16:16:10","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Historical arroyo formation: Documentation of magnitude and timing of historical changes using repeat photography","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Repeat photography: Methods and applications in the natural sciences","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Island Press","usgsCitation":"Webb, R., and Hereford, R., 2010, Historical arroyo formation: Documentation of magnitude and timing of historical changes using repeat photography, chap. of Repeat photography: Methods and applications in the natural sciences, p. 89-104.","productDescription":"16 p.","startPage":"89","endPage":"104","ipdsId":"IP-011775","costCenters":[{"id":362,"text":"Landscape Change in the Southwest National Research Program: Tucson, Arizona","active":false,"usgs":true}],"links":[{"id":276558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520a03eee4b0026c2bc11b8c","contributors":{"editors":[{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":509169,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Boyer, Diane E.","contributorId":22018,"corporation":false,"usgs":true,"family":"Boyer","given":"Diane","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":509171,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Turner, Raymond M.","contributorId":7383,"corporation":false,"usgs":true,"family":"Turner","given":"Raymond M.","affiliations":[],"preferred":false,"id":509170,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":472284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hereford, Richard 0000-0002-0892-7367 rhereford@usgs.gov","orcid":"https://orcid.org/0000-0002-0892-7367","contributorId":3620,"corporation":false,"usgs":true,"family":"Hereford","given":"Richard","email":"rhereford@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":472285,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70120458,"text":"70120458 - 2010 - Vegetation of eastern Unalaska Island, Aleutian Islands, Alaska","interactions":[],"lastModifiedDate":"2018-08-20T18:16:09","indexId":"70120458","displayToPublicDate":"2010-01-01T16:15:27","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1071,"text":"Botany","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation of eastern Unalaska Island, Aleutian Islands, Alaska","docAbstract":"Plant communities of Unalaska Island in the eastern Aleutian Islands of western Alaska, and their relationship to environmental variables, were studied using a combined Braun-Blanquet and multivariate approach. Seventy relevés represented the range of structural and compositional variation in the matrix of vegetation and landform zonation. Eleven major community types were distinguished within six physiognomic–ecological groups: I. Dry coastal meadows: Honckenya peploides beach meadow, Leymus mollis dune meadow. II. Mesic meadows: Athyrium filix-femina – Aconitum maximum meadow, Athyrium filix-femina – Calamagrostis nutkaensis meadow, Erigeron peregrinus – Thelypteris quelpaertensis meadow. III. Wet snowbed meadow: Carex nigricans snowbed meadow. IV. Heath: Linnaea borealis – Empetrum nigrum heath, Phyllodoce aleutica heath, Vaccinium uliginosum – Thamnolia vermicularis fellfield. V. Mire: Carex pluriflora – Plantago macrocarpa mire. VI. Deciduous shrub thicket: Salix barclayi – Athyrium filix-femina thicket. These were interpreted as a complex gradient primarily influenced by soil moisture, elevation, and pH. Phytogeographical and syntaxonomical analysis of the plant communities indicated that the dry coastal meadows, most of the heaths, and the mire vegetation belonged, respectively, to the widespread classes Honckenyo–Elymetea, Loiseleurio–Vaccinietea, and Scheuchzerio–Caricetea, characterized by their circumpolar and widespread species. Amphi-Beringian species were likely diagnostic of amphi-Beringian syntaxa, many of these yet to be described.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Botany","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/B09-113","usgsCitation":"Talbot, S., Schofield, W., Talbot, S.L., and Daniels, F.J., 2010, Vegetation of eastern Unalaska Island, Aleutian Islands, Alaska: Botany, v. 88, no. 4, p. 366-388, https://doi.org/10.1139/B09-113.","productDescription":"23 p.","startPage":"366","endPage":"388","numberOfPages":"23","ipdsId":"IP-018004","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":292240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292225,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/B09-113"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands;Unalaska Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 175.0,45.0 ], [ 175.0,63.0 ], [ -157.0,63.0 ], [ -157.0,45.0 ], [ 175.0,45.0 ] ] ] } } ] }","volume":"88","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53edcd57e4b0f61b386d24d2","contributors":{"authors":[{"text":"Talbot, Stephen S.","contributorId":73266,"corporation":false,"usgs":true,"family":"Talbot","given":"Stephen S.","affiliations":[],"preferred":false,"id":498260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Wilfred B.","contributorId":97827,"corporation":false,"usgs":true,"family":"Schofield","given":"Wilfred B.","affiliations":[],"preferred":false,"id":498261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":498258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, Fred J.A.","contributorId":70702,"corporation":false,"usgs":true,"family":"Daniels","given":"Fred","email":"","middleInitial":"J.A.","affiliations":[],"preferred":false,"id":498259,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047181,"text":"70047181 - 2010 - To reactivate or not to reactivate: nature and varied behavior of structural inheritance in the Proterozoic basement of the Eastern Colorado mineral belt over 1.7 billion years of earth history","interactions":[],"lastModifiedDate":"2017-09-26T09:54:44","indexId":"70047181","displayToPublicDate":"2010-01-01T16:11:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"To reactivate or not to reactivate: nature and varied behavior of structural inheritance in the Proterozoic basement of the Eastern Colorado mineral belt over 1.7 billion years of earth history","docAbstract":"The eastern central Front Range of the Rocky Mountains in Colorado has long been a region of geologic interest because of Laramide-age hydrothermal polymetallic vein-related ores. The region is characterized by a well-exposed array of geologic structures associated with ductile and brittle deformation, which record crustal strain over 1.7 billion years of continental growth and evolution. The mineralized areas lie along a broad linear zone termed the Colorado Mineral Belt. This lineament has commonly been interpreted as following a fundamental boundary, such as a suture zone, in the North American Proterozoic crust that acted as a persistent zone of weakness localizing the emplacement of magmas and associated hydrothermal fluid flow. However, the details on the controls of the location, orientation, kinematics, density, permeability, and relative strength of various geological structures and their specific relationships to mineral deposit formation are not related to Proterozoic ancestry in a simple manner. The objectives of this field trip are to show key localities typical of the various types of structures present, show recently compiled and new data, offer alternative conceptual models, and foster dialogue. Topics to be discussed include: (1) structural history of the eastern Front Range; (2) characteristics, kinematics, orientations, and age of ductile and brittle structures and how they may or may not relate to one another and mineral deposit permeability; and (3) characteristics, localization, and evolution of the metal and non–metal-bearing hydrothermal systems in the eastern Colorado Mineral Belt.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Field Guides","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2010.0018(06)","usgsCitation":"Caine, J.S., Ridley, J., and Wessel, Z.R., 2010, To reactivate or not to reactivate: nature and varied behavior of structural inheritance in the Proterozoic basement of the Eastern Colorado mineral belt over 1.7 billion years of earth history: GSA Field Guides, v. 18, p. 119-140, https://doi.org/10.1130/2010.0018(06).","productDescription":"22 p.","startPage":"119","endPage":"140","numberOfPages":"22","ipdsId":"IP-022378","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":275493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275355,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/2010.0018(06)"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Mineral Belt","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.9899,37.9765 ], [ -107.9899,40.9914 ], [ -102.881,40.9914 ], [ -102.881,37.9765 ], [ -107.9899,37.9765 ] ] ] } } ] }","volume":"18","noUsgsAuthors":false,"publicationDate":"2011-04-26","publicationStatus":"PW","scienceBaseUri":"51f78eece4b02e26443a93cc","contributors":{"authors":[{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":481259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ridley, John","contributorId":77024,"corporation":false,"usgs":true,"family":"Ridley","given":"John","email":"","affiliations":[],"preferred":false,"id":481260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wessel, Zachary R.","contributorId":104795,"corporation":false,"usgs":true,"family":"Wessel","given":"Zachary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":481261,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047046,"text":"dds49019 - 2010 - Attributes for NHDplus Catchments (Version 1.1) for the Conterminous United States: Population Density, 2000","interactions":[],"lastModifiedDate":"2013-11-25T15:58:46","indexId":"dds49019","displayToPublicDate":"2010-01-01T15:58:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"490-19","title":"Attributes for NHDplus Catchments (Version 1.1) for the Conterminous United States: Population Density, 2000","docAbstract":"This data set represents the average population density, in number of people per square kilometer multiplied by 10 for the year 2000, compiled for every catchment of NHDPlus for the conterminous United States. The source data set is the 2000 Population Density by Block Group for the Conterminous United States (Hitt, 2003). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49019","usgsCitation":"Wieczorek, M., and LaMottem, A.E., 2010, Attributes for NHDplus Catchments (Version 1.1) for the Conterminous United States: Population Density, 2000: U.S. Geological Survey Data Series 490-19, Dataset, https://doi.org/10.3133/dds49019.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":275024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":275021,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_popd00.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e6e4b069f8d27ccaba","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMottem, Andrew E.","contributorId":9554,"corporation":false,"usgs":true,"family":"LaMottem","given":"Andrew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":480927,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048103,"text":"70048103 - 2010 - Subevents of long-period seismicity: implications for hydrothermal dynamics during the 2004-2008 eruption of Mount St. Helens","interactions":[],"lastModifiedDate":"2013-09-10T15:59:28","indexId":"70048103","displayToPublicDate":"2010-01-01T15:54:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Subevents of long-period seismicity: implications for hydrothermal dynamics during the 2004-2008 eruption of Mount St. Helens","docAbstract":"One of the most striking aspects of seismicity during the 2004–2008 eruption of Mount St. Helens (MSH) was the precise regularity in occurrence of repetitive long-period (LP) or “drumbeat” events over sustained time periods. However, this precise regularity was not always observed, and at times the temporal occurrence of LP events became more random. In addition, accompanying the dominant LP class of events during the 2004–2008 MSH eruption, there was a near-continuous, randomly occurring series of smaller seismic events. These subevents are not always simply small-amplitude versions of the dominant LP class of events but appear instead to result from a separate random process only loosely coupled to the main LP source mechanism. We present an analysis of the interevent time and amplitude distributions of the subevents, using waveform cross correlation to separate LP events from the subevents. We also discuss seismic tremor that accompanied the 8 March 2005 phreatic explosion event at MSH. This tremor consists of a rapid succession of LPs and subevents triggered during the explosion, in addition to broadband noise from the sustained degassing. Immediately afterward, seismicity returned to the pre-explosion occurrence pattern. This triggering in relation to the rapid ejection of steam from the system, and subsequent return to pre-explosion seismicity, suggests that both seismic event types originated in a region of the subsurface hydrothermal system that was (1) in contact with the reservoir feeding the 8 March 2005 phreatic explosion but (2) not destroyed or drained by the explosion event. Finally, we discuss possible thermodynamic conditions in a pressurized hydrothermal crack that could give rise to seismicity. Pressure drop estimates for typical LP events are not generally large enough to perturb pure water in a shallow hydrothermal crack into an unstable state. However, dissolved volatiles such as CO2 may lead to a more unstable system, increasing the seismogenic potential of a hydrothermal crack subject to rapid heat flux. The interaction of hydrothermal and magmatic systems beneath MSH in 2004–2008 thus appears able to explain a wide range of observed phenomena, including subevents, LP events, larger (Md > 2) events, and phreatic explosions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2010JB007839","usgsCitation":"Matoza, R.S., and Chouet, B.A., 2010, Subevents of long-period seismicity: implications for hydrothermal dynamics during the 2004-2008 eruption of Mount St. Helens: Journal of Geophysical Research, v. 115, no. B12, 26 p., https://doi.org/10.1029/2010JB007839.","productDescription":"26 p.","numberOfPages":"26","ipdsId":"IP-022741","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":475755,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jb007839","text":"Publisher Index Page"},{"id":277465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277464,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JB007839"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.245372,46.152851 ], [ -122.245372,46.23403 ], [ -122.125309,46.23403 ], [ -122.125309,46.152851 ], [ -122.245372,46.152851 ] ] ] } } ] }","volume":"115","issue":"B12","noUsgsAuthors":false,"publicationDate":"2010-12-14","publicationStatus":"PW","scienceBaseUri":"52303f67e4b04b8e63a2066b","contributors":{"authors":[{"text":"Matoza, Robin S.","contributorId":54873,"corporation":false,"usgs":true,"family":"Matoza","given":"Robin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":483749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chouet, Bernard A. 0000-0001-5527-0532 chouet@usgs.gov","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":3304,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"chouet@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483748,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047045,"text":"dds49018 - 2010 - Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Physiographic Provinces","interactions":[],"lastModifiedDate":"2013-11-25T16:03:18","indexId":"dds49018","displayToPublicDate":"2010-01-01T15:46:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"490-18","title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Physiographic Provinces","docAbstract":"This dataset represents the area of each physiographic province (Fenneman and Johnson, 1946) in square meters, compiled for every catchment of NHDPlus for the conterminous United States. The source data are from Fenneman and Johnson's Physiographic Provinces of the United States, which is based on 8 major divisions, 25 provinces, and 86 sections representing distinctive areas having common topography, rock type and structure, and geologic and geomorphic history (Fenneman and Johnson, 1946). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49018","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Physiographic Provinces: U.S. Geological Survey Data Series 490-18, Dataset, https://doi.org/10.3133/dds49018.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":275017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":275016,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_physio.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e6e4b069f8d27ccaae","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046832,"text":"70046832 - 2010 - Learning to recognize volcanic non-eruptions","interactions":[],"lastModifiedDate":"2018-10-30T10:04:13","indexId":"70046832","displayToPublicDate":"2010-01-01T15:36:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Learning to recognize volcanic non-eruptions","docAbstract":"An important goal of volcanology is to answer the questions of when, where, and how a volcano will erupt—in other words, eruption prediction. Generally, eruption predictions are based on insights from monitoring data combined with the history of the volcano. An outstanding example is the A.D. 1980–1986 lava dome growth at Mount St. Helens, Washington (United States). Recognition of a consistent pattern of precursors revealed by geophysical, geological, and geochemical monitoring enabled successful predictions of more than 12 dome-building episodes (Swanson et al., 1983). At volcanic systems that are more complex or poorly understood, probabilistic forecasts can be useful (e.g., Newhall and Hoblitt, 2002; Marzocchi and Woo, 2009). In such cases, the probabilities of different types of volcanic events are quantified, using historical accounts and geological studies of a volcano's past activity, supplemented by information from similar volcanoes elsewhere, combined with contemporary monitoring information.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/focus032010.1","usgsCitation":"Poland, M., 2010, Learning to recognize volcanic non-eruptions: Geology, v. 38, no. 3, p. 287-288, https://doi.org/10.1130/focus032010.1.","productDescription":"4 p.","startPage":"287","endPage":"288","numberOfPages":"4","ipdsId":"IP-018920","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":475756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/focus032010.1","text":"Publisher Index Page"},{"id":275093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275092,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/focus032010.1"}],"volume":"38","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e66b69e4b017be1ba3479e","contributors":{"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":480412,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047044,"text":"dds49017 - 2010 - Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Nutrient Inputs from Fertilizer and Manure, Nitrogen and Phosphorus (N&P), 2002","interactions":[],"lastModifiedDate":"2013-11-25T16:04:07","indexId":"dds49017","displayToPublicDate":"2010-01-01T15:34:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"490-17","title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Nutrient Inputs from Fertilizer and Manure, Nitrogen and Phosphorus (N&P), 2002","docAbstract":"This data set represents the estimated amount of nitrogen and phosphorus in kilograms for the year 2002, compiled for every catchment of NHDPlus for the conterminous United States. The source data set is County-Level Estimates of Nutrient Inputs to the Land Surface of the Conterminous United States, 1982-2001 (Ruddy and others, 2006). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49017","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Nutrient Inputs from Fertilizer and Manure, Nitrogen and Phosphorus (N&P), 2002: U.S. Geological Survey Data Series 490-17, Dataset, https://doi.org/10.3133/dds49017.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":275015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":275014,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_nutrients.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e5e4b069f8d27ccaaa","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480923,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047042,"text":"dds49016 - 2010 - Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Normalized Atmospheric Deposition for 2002, Nitrate (NO3)","interactions":[],"lastModifiedDate":"2013-11-25T16:03:26","indexId":"dds49016","displayToPublicDate":"2010-01-01T15:20:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"490-16","title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Normalized Atmospheric Deposition for 2002, Nitrate (NO3)","docAbstract":"This data set represents the average normalized atmospheric (wet) deposition, in kilograms, of Nitrate (NO3) for the year 2002 compiled for every catchment of NHDPlus for the conterminous United States. Estimates of NO3 deposition are based on National Atmospheric Deposition Program (NADP) measurements (B. Larsen, U.S. Geological Survey, written commun., 2007). De-trending methods applied to the year 2002 are described in Alexander and others, 2001. NADP site selection met the following criteria: stations must have records from 1995 to 2002 and have a minimum of 30 observations. The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49016","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Normalized Atmospheric Deposition for 2002, Nitrate (NO3): U.S. Geological Survey Data Series 490-16, Datatset, https://doi.org/10.3133/dds49016.","productDescription":"Datatset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":275012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":275011,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_no3.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e5e4b069f8d27ccaa2","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480919,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70168690,"text":"70168690 - 2010 - Vulnerability of white spruce tree growth in interior Alaska in response to climate variability: Dendrochronological, demographic, and experimental perspectives","interactions":[],"lastModifiedDate":"2019-12-14T06:17:07","indexId":"70168690","displayToPublicDate":"2010-01-01T15:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of white spruce tree growth in interior Alaska in response to climate variability: Dendrochronological, demographic, and experimental perspectives","docAbstract":"

This paper integrates dendrochronological, demographic, and experimental perspectives to improve understanding of the response of white spruce (Picea glauca (Moench) Voss) tree growth to climatic variability in interior Alaska. The dendrochronological analyses indicate that climate warming has led to widespread declines in white spruce growth throughout interior Alaska that have become more prevalent during the 20th century. Similarly, demographic studies show that white spruce tree growth is substantially limited by soil moisture availability in both mid- and late-successional stands. Interannual variability in tree growth among stands within a landscape exhibits greater synchrony than does growth of trees that occupy different landscapes, which agrees with dendrochronological findings that the responses depend on landscape position and prevailing climate. In contrast, the results from 18 years of a summer moisture limitation experiment showed that growth in midsuccessional upland stands was unaffected by moisture limitation and that moisture limitation decreased white spruce growth in floodplain stands where it was expected that growth would be less vulnerable because of tree access to river water. Taken together, the evidence from the different perspectives analyzed in this study clearly indicates that white spruce tree growth in interior Alaska is vulnerable to the effects of warming on plant water balance.

","language":"English","publisher":"National Research Council of Canada","doi":"10.1139/X09-206","usgsCitation":"McGuire, A.D., Ruess, R.W., Lloyd, A., Yarie, J., Clein, J.S., and Juday, G., 2010, Vulnerability of white spruce tree growth in interior Alaska in response to climate variability: Dendrochronological, demographic, and experimental perspectives: Canadian Journal of Forest Research, v. 40, p. 1197-1209, https://doi.org/10.1139/X09-206.","productDescription":"13 p.","startPage":"1197","endPage":"1209","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017722","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":318366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -140.625,\n 62.91523303947614\n ],\n [\n -142.3828125,\n 68.26938680456564\n ],\n [\n -163.4765625,\n 67.20403234340081\n ],\n [\n -166.2890625,\n 62.103882522897855\n ],\n [\n -161.015625,\n 59.712097173322924\n ],\n [\n -140.625,\n 62.91523303947614\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56cee287e4b015c306ec5f1d","contributors":{"authors":[{"text":"McGuire, A. 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The source data set represents land use and land cover for the conterminous United States for 2001. The National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA Natural Resources Conservation Service (NRCS). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49015","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: NLCD 2001 Land Use and Land Cover: U.S. Geological Survey Data Series 490-15, Dataset, https://doi.org/10.3133/dds49015.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":275009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":275008,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_nlcd01.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e4e4b069f8d27cca9a","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480916,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043237,"text":"70043237 - 2010 - Real-time decision support systems: the famine early warning system network","interactions":[],"lastModifiedDate":"2017-03-27T12:13:31","indexId":"70043237","displayToPublicDate":"2010-01-01T15:08:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Real-time decision support systems: the famine early warning system network","docAbstract":"A multi-institutional partnership, the US Agency for International Development’s Famine Early Warning System Network (FEWS NET) provides routine monitoring of climatic, agricultural, market, and socioeconomic conditions in over 20 countries. FEWS NET supports and informs disaster relief decisions that impact millions of people and involve billions of dollars. In this chapter, we focus on some of FEWS NET’s hydrologic monitoring tools, with a specific emphasis on combining “low frequency” and “high frequency” assessment tools. Low frequency assessment tools, tied to water and food balance estimates, enable us to evaluate and map long-term tendencies in food security. High frequency assessments are supported by agrohydrologic models driven by satellite rainfall estimates, such as the Water Requirement Satisfaction Index (WRSI). Focusing on eastern Africa, we suggest that both these high and low frequency approaches are necessary to capture the interaction of slow variations in vulnerability and the relatively rapid onset of climatic shocks.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Satellite rainfall applications for surface hydrology","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer","publisherLocation":"Rijeka, Croatia","doi":"10.1007/978-90-481-2915-7_17","isbn":"9789048129140; 9789048121957","usgsCitation":"Funk, C.C., and Verdin, J.P., 2010, Real-time decision support systems: the famine early warning system network, chap. of Satellite rainfall applications for surface hydrology, p. 295-320, https://doi.org/10.1007/978-90-481-2915-7_17.","productDescription":"26 p.","startPage":"295","endPage":"320","numberOfPages":"26","ipdsId":"IP-012627","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":275641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275640,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-90-481-2915-7_17"}],"country":"United States","noUsgsAuthors":false,"publicationDate":"2009-09-30","publicationStatus":"PW","scienceBaseUri":"51fa31e6e4b076c3a8d82674","contributors":{"authors":[{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473214,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047039,"text":"dds49014 - 2010 - Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Normalized Atmospheric Deposition for 2002, Ammonium (NH4)","interactions":[],"lastModifiedDate":"2013-11-25T16:02:58","indexId":"dds49014","displayToPublicDate":"2010-01-01T14:57:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"490-14","title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Normalized Atmospheric Deposition for 2002, Ammonium (NH4)","docAbstract":"This data set represents the average normalized atmospheric (wet) deposition, in kilograms, of Ammonium (NH4) for the year 2002 compiled for every catchment of NHDPlus for the conterminous United States. Estimates of NH4 deposition are based on National Atmospheric Deposition Program (NADP) measurements (B. Larsen, U.S. Geological Survey, written commun., 2007). De-trending methods applied to the year 2002 are described in Alexander and others, 2001. NADP site selection met the following criteria: stations must have records from 1995 to 2002 and have a minimum of 30 observations. The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","doi":"10.3133/dds49014","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Normalized Atmospheric Deposition for 2002, Ammonium (NH4): U.S. Geological Survey Data Series 490-14, Dataset, https://doi.org/10.3133/dds49014.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":275006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":275005,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_nh4.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e5e4b069f8d27cca9e","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480914,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200656,"text":"70200656 - 2010 - Early warning of rainfall-induced shallow landslides and debris flows in the USA","interactions":[],"lastModifiedDate":"2018-10-26T14:52:26","indexId":"70200656","displayToPublicDate":"2010-01-01T14:52:19","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Early warning of rainfall-induced shallow landslides and debris flows in the USA","docAbstract":"

The state of knowledge and resources available to issue alerts of precipitation-induced landslides vary across the USA. Federal and state agencies currently issue warnings of the potential for shallow, rapidly moving landslides and debris flows in a few areas along the Pacific coast and for areas affected by Atlantic hurricanes. However, these agencies generally lack resources needed to provide continuous support or to expand services to other areas. Precipitation thresholds that form the basis of landslide warning systems now exist for a few areas of the USA, but the threshold rainfall amounts and durations vary over three orders of magnitude nationwide and over an order of magnitude across small geographic areas such as a county. Antecedent moisture conditions also have a significant effect, particularly in areas that have distinct wet and dry seasons. Early warnings of shallow landslides that include specific information about affected areas, probability of landslide occurrence, and expected timing are technically feasible as illustrated by a case study from the Seattle, WA area. The four-level warning scheme (Null, Outlook, Watch, Warning) defined for Seattle is based on observed or predicted exceedance of a cumulative precipitation threshold and a rainfall intensity–duration threshold combined with real-time monitoring of soil moisture. Based on analysis of historical data, threshold performance varies according to precipitation characteristics, and threshold exceedance corresponds to a given probability of landslide occurrence. Experience in Seattle during December 2004 and January 2005 illustrates some of the challenges of providing landslide early warning on the USA West Coast.

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States\"}}]}","volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-10-24","publicationStatus":"PW","scienceBaseUri":"5c10c78ce4b034bf6a7f5c12","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":749985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":749986,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200655,"text":"70200655 - 2010 - Averaging and sampling for magnetic-observatory hourly data","interactions":[],"lastModifiedDate":"2018-10-26T14:49:53","indexId":"70200655","displayToPublicDate":"2010-01-01T14:49:46","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":780,"text":"Annales Geophysicae","active":true,"publicationSubtype":{"id":10}},"title":"Averaging and sampling for magnetic-observatory hourly data","docAbstract":"

A time and frequency-domain analysis is made of the effects of averaging and sampling methods used for constructing magnetic-observatory hourly data values. Using 1-min data as a proxy for continuous, geomagnetic variation, we construct synthetic hourly values of two standard types: instantaneous \"spot\" measurements and simple 1-h \"boxcar\" averages. We compare these average-sample types with others: 2-h average, Gaussian, and \"brick-wall\" low-frequency-pass. Hourly spot measurements provide a statistically unbiased representation of the amplitude range of geomagnetic-field variation, but as a representation of continuous field variation over time, they are significantly affected by aliasing, especially at high latitudes. The 1-h, 2-h, and Gaussian average-samples are affected by a combination of amplitude distortion and aliasing. Brick-wall values are not affected by either amplitude distortion or aliasing, but constructing them is, in an operational setting, relatively more difficult than it is for other average-sample types. It is noteworthy that 1-h average-samples, the present standard for observatory hourly data, have properties similar to Gaussian average-samples that have been optimized for a minimum residual sum of amplitude distortion and aliasing. For 1-h average-samples from medium and low-latitude observatories, the average of the combination of amplitude distortion and aliasing is less than the 5.0 nT accuracy standard established by Intermagnet for modern 1-min data. For medium and low-latitude observatories, average differences between monthly means constructed from 1-min data and monthly means constructed from any of the hourly average-sample types considered here are less than the 1.0 nT resolution of standard databases. We recommend that observatories and World Data Centers continue the standard practice of reporting simple 1-h-average hourly values.

","language":"English","publisher":"EGU","doi":"10.5194/angeo-28-2079-2010","usgsCitation":"Love, J.J., Tsai, V., and Gannon, J.L., 2010, Averaging and sampling for magnetic-observatory hourly data: Annales Geophysicae, v. 28, p. 2079-2096, https://doi.org/10.5194/angeo-28-2079-2010.","productDescription":"18 p.","startPage":"2079","endPage":"2096","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":475757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/angeo-28-2079-2010","text":"Publisher Index Page"},{"id":358846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","noUsgsAuthors":false,"publicationDate":"2010-11-12","publicationStatus":"PW","scienceBaseUri":"5c10c78ce4b034bf6a7f5c1a","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":749982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, V.C.","contributorId":41661,"corporation":false,"usgs":true,"family":"Tsai","given":"V.C.","email":"","affiliations":[],"preferred":false,"id":749983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gannon, Jennifer L.","contributorId":40882,"corporation":false,"usgs":true,"family":"Gannon","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":749984,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047038,"text":"dds49013 - 2010 - Attributes for NHDPlus Catchments (Version 1.1): Level 3 Nutrient Ecoregions, 2002","interactions":[],"lastModifiedDate":"2013-11-25T16:01:43","indexId":"dds49013","displayToPublicDate":"2010-01-01T14:48:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"490-13","title":"Attributes for NHDPlus Catchments (Version 1.1): Level 3 Nutrient Ecoregions, 2002","docAbstract":"This data set represents the area of each level 3 nutrient ecoregion in square meters, compiled for every catchment of NHDPlus for the conterminous United States. The source data are from the 2002 version of the U.S. Environmental Protection Agency's (USEPA) Aggregations of Level III Ecoregions for National Nutrient Assessment & Management Strategy (USEPA, 2002). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49013","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus Catchments (Version 1.1): Level 3 Nutrient Ecoregions, 2002: U.S. Geological Survey Data Series 490-13, Dataset, https://doi.org/10.3133/dds49013.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":275004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":275003,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_neco.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e6e4b069f8d27ccab2","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480912,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200654,"text":"70200654 - 2010 - Movie‐maps of low‐latitude magnetic storm disturbance","interactions":[],"lastModifiedDate":"2018-10-26T14:47:44","indexId":"70200654","displayToPublicDate":"2010-01-01T14:47:35","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Movie‐maps of low‐latitude magnetic storm disturbance","docAbstract":"

We present 29 movie‐maps of low‐latitude horizontal‐intensity magnetic disturbance for the years 1999–2006: 28 recording magnetic storms and 1 magnetically quiescent period. The movie‐maps are derived from magnetic vector time series data collected at up to 25 ground‐based observatories. Using a technique similar to that used in the calculation of Dst, a quiet time baseline is subtracted from the time series from each observatory. The remaining disturbance time series are shown in a polar coordinate system that accommodates both Earth rotation and the universal time dependence of magnetospheric disturbance. Each magnetic storm recorded in the movie‐maps is different. While some standard interpretations about the storm time equatorial ring current appear to apply to certain moments and certain phases of some storms, the movie‐maps also show substantial variety in the local time distribution of low‐latitude magnetic disturbance, especially during storm commencements and storm main phases. All movie‐maps are available at the U.S. Geological Survey Geomagnetism Program Web site (http://geomag.usgs.gov).

","language":"English","publisher":"AGU","doi":"10.1029/2009SW000518","usgsCitation":"Love, J.J., and Gannon, J.L., 2010, Movie‐maps of low‐latitude magnetic storm disturbance: Space Weather, v. 8, no. 6, p. 1-21, https://doi.org/10.1029/2009SW000518.","productDescription":"S06001; 21 p.","startPage":"1","endPage":"21","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":475758,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009sw000518","text":"Publisher Index Page"},{"id":438838,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UQZARF","text":"USGS data release","linkHelpText":"USGS Geomagnetism Program: Magnetic Disturbance Movies"},{"id":358845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-06-05","publicationStatus":"PW","scienceBaseUri":"5c10c78de4b034bf6a7f5c24","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":749980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannon, Jennifer L.","contributorId":40882,"corporation":false,"usgs":true,"family":"Gannon","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":749981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199773,"text":"70199773 - 2010 - Measuring sediment accretion in early tidal marsh restoration","interactions":[],"lastModifiedDate":"2018-09-27T14:46:13","indexId":"70199773","displayToPublicDate":"2010-01-01T14:45:21","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Measuring sediment accretion in early tidal marsh restoration","docAbstract":"

Sediment accretion is a critical indicator of initial progress in tidal marsh restoration. However, it is often difficult to measure early deposition rates, because the bottom surface is usually obscured under turbid, tidally-influenced waters. To accurately measure early sediment deposition in marshes, we developed an echosounder system consisting of a specialized acoustic profiler, differential global positioning system unit, and laptop computer mounted on a shallow-draft boat. We conducted a bathymetry at the Tubbs Setback tidal restoration site on San Pablo Bay, California, along north–south transects at 25-m intervals. Horizontal position was recorded within 1 m each second and water depth to 1 cm every 0.05 s. Bottom elevations were adjusted for tidal height with surveyed tide gages. We created detailed bathymetric maps (grid cell size: 12.5 m x 12.5 m) by interpolation with inverse distance weighting. During the third year after restoration, sediment accretion averaged 57.1 ± 1.1 cm and the estimated sediment gain was 132,900 m3. The mean difference between the elevations from the bathymetry system and the 9 sediment pins was 2.0 ± 1.0 cm. The mean difference of the intersection points of east–west and north–south survey transects was 2.1 ± 0.2 cm, which provided a measure of repeatability with changing water levels. Our echosounder system provided accurate and repeatable measurements of sediment accretion of a recently restored tidal wetland, and this system proved to be a viable tool for determining sediment deposition in marshes and assessing early restoration progress.

","language":"English","publisher":"Springer","doi":"10.1007/s11273-009-9170-6","usgsCitation":"Takekawa, J.Y., Woo, I., Athearn, N.D., Demers, S.A., Gardiner, R.J., Perry, W.M., Ganju, N., Shellenbarger, G., and Schoellhamer, D., 2010, Measuring sediment accretion in early tidal marsh restoration: Wetlands Ecology and Management, 9 p., https://doi.org/10.1007/s11273-009-9170-6.","productDescription":"9 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Pablo Bay","noUsgsAuthors":false,"publicationDate":"2010-02-11","publicationStatus":"PW","scienceBaseUri":"5c10c78de4b034bf6a7f5c2a","contributors":{"authors":[{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":746548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":746549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Athearn, Nicole D.","contributorId":71273,"corporation":false,"usgs":true,"family":"Athearn","given":"Nicole","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":746550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demers, Scott A.","contributorId":62411,"corporation":false,"usgs":true,"family":"Demers","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":746551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardiner, Rachel J.","contributorId":174164,"corporation":false,"usgs":false,"family":"Gardiner","given":"Rachel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":746552,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, William M. 0000-0002-6180-8180 wmperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6180-8180","contributorId":5124,"corporation":false,"usgs":true,"family":"Perry","given":"William","email":"wmperry@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":746553,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":1314,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":746554,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shellenbarger, Gregory gshellen@usgs.gov","contributorId":174805,"corporation":false,"usgs":true,"family":"Shellenbarger","given":"Gregory","email":"gshellen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746555,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746556,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70047800,"text":"70047800 - 2010 - U.S. Geological Survey external quality-assurance project report to the National Atmospheric Deposition Program / National Trends Network and Mercury Deposition Network, 2007-08","interactions":[],"lastModifiedDate":"2013-11-19T14:49:24","indexId":"70047800","displayToPublicDate":"2010-01-01T14:42:51","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"NADP Quality Assurance Report 2010-01, Illinois State Water Survey Miscellaneous Report 190","title":"U.S. Geological Survey external quality-assurance project report to the National Atmospheric Deposition Program / National Trends Network and Mercury Deposition Network, 2007-08","docAbstract":"

The U.S. Geological Survey (USGS) used six distinct \nprograms to provide external quality-assurance monitoring for the National Atmospheric Deposition Program / \nNational Trends Network (NTN) and Mercury Deposition \nNetwork (MDN) during 2007-08. The field-audit program \nassessed the effects of onsite exposure, sample handling, \nand shipping on the chemistry of NTN samples, and a \nsystem-blank program assessed the same effects for MDN. \nTwo interlaboratory-comparison programs assessed the \nbias and variability of the chemical analysis data from \nthe Central Analytical Laboratory (CAL), Mercury (Hg) \nAnalytical Laboratory (HAL), and 12 other participating \nlaboratories. A blind-audit program was also implemented \nfor the MDN to evaluate analytical bias in HAL total Hg \nconcentration data. A co-located-sampler program was \nused to identify and quantify potential shifts in NADP \ndata resulting from replacement of original network \ninstrumentation with new electronic recording rain gages \n(E-gages) and prototype precipitation collectors.

\n
\n

The results indicate that NADP data continue to be of \nsufficient quality for the analysis of spatial distributions \nand time trends of chemical constituents in wet deposition \nacross the U.S. NADP data-quality objectives continued to \nbe achieved during 2007-08. Results also indicate that retrofit \nof the NADP networks with the new E-gages is not likely to \ncreate step-function type shifts in NADP precipitation-depth \nrecords, except for sites where annual precipitation depth is \ndominated by snow because the E-gages tend to catch more \nsnow than the original NADP rain gages. Evaluation of \nprototype precipitation collectors revealed no difference in \nsample volumes and analyte concentrations between the original NADP collectors and modified, deep-bucket collectors, \nbut the Yankee Environmental Systems, Inc. (YES) collector obtained samples of significantly higher volumes and \nanalyte concentrations than the standard NADP collector.

","language":"English","publisher":"Illinois State Water Survey","publisherLocation":"Champaign, IL","usgsCitation":"Wetherbee, G.A., Latysh, N.E., and Chesney, T.A., 2010, U.S. Geological Survey external quality-assurance project report to the National Atmospheric Deposition Program / National Trends Network and Mercury Deposition Network, 2007-08, x, 82 p.","productDescription":"x, 82 p.","numberOfPages":"94","ipdsId":"IP-018544","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":279197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279196,"type":{"id":11,"text":"Document"},"url":"https://www.isws.illinois.edu/pubdoc/MP/ISWSMP-190.pdf"},{"id":279195,"type":{"id":15,"text":"Index Page"},"url":"https://www.isws.illinois.edu/pubs/pubdetail.asp?CallNumber=ISWS+MP-190"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96bde4b0c629af44de0c","contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":482994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Latysh, Natalie E.","contributorId":39860,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chesney, Tanya A.","contributorId":71091,"corporation":false,"usgs":true,"family":"Chesney","given":"Tanya","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482996,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}