{"pageNumber":"1159","pageRowStart":"28950","pageSize":"25","recordCount":46734,"records":[{"id":70243552,"text":"70243552 - 2000 - Revised age of the Rockland tephra, northern California: Implications for climate and stratigraphic reconstructions in the western United States: Comment","interactions":[],"lastModifiedDate":"2023-05-11T16:49:32.432304","indexId":"70243552","displayToPublicDate":"2000-03-01T11:22:04","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Revised age of the Rockland tephra, northern California: Implications for climate and stratigraphic reconstructions in the western United States: Comment","docAbstract":"<p><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"I0091-7613-28-3-286-LANPHERE1\">Lanphere et al. (1999)</a><span>&nbsp;presented new data for the age of the Rockland pumice tuff breccia of&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"I0091-7613-28-3-286-WILSON1\">Wilson (1961)</a><span>&nbsp;using the incremental-heating&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar technique. Their age, ∼610 ka, is ∼200 ka older than zircon fission-track ages obtained on this tuff by&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"I0091-7613-28-3-286-MEYER1\">Meyer et al. (1980</a><span>;&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"I0091-7613-28-3-286-MEYER2\">1991)</a><span>. Application of new&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar technologies to tephrochronometry is an important advance that allows more precise dating of widespread tephra layers. Although the new age may be correct, I urge caution in accepting it in place of grain-discrete fission-track dates and other data that suggest a younger age for this unit.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/0091-7613(2000)28<286:RAOTRT>2.0.CO;2","usgsCitation":"Sarna-Wojcicki, A., 2000, Revised age of the Rockland tephra, northern California: Implications for climate and stratigraphic reconstructions in the western United States: Comment: Geology, v. 28, no. 3, https://doi.org/10.1130/0091-7613(2000)28<286:RAOTRT>2.0.CO;2.","productDescription":"1 p.","startPage":"286","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":416967,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Rockland tephra","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.28438210623398,\n              40.58395362170714\n            ],\n            [\n              -121.87446782508354,\n              40.58395362170714\n            ],\n            [\n              -121.87446782508354,\n              40.029169344902755\n            ],\n            [\n              -121.28438210623398,\n              40.029169344902755\n            ],\n            [\n              -121.28438210623398,\n              40.58395362170714\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sarna-Wojcicki, Andrei M. 0000-0002-0244-9149","orcid":"https://orcid.org/0000-0002-0244-9149","contributorId":296073,"corporation":false,"usgs":true,"family":"Sarna-Wojcicki","given":"Andrei M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":872323,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":68449,"text":"ha725 - 2000 - Water levels and ground-water discharge, regional aquifer system of the midwestern Basins and Arches Region, in parts of Indiana, Ohio, Illinois, and Michigan","interactions":[],"lastModifiedDate":"2015-10-28T11:15:29","indexId":"ha725","displayToPublicDate":"2000-03-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":318,"text":"Hydrologic Atlas","code":"HA","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"725","title":"Water levels and ground-water discharge, regional aquifer system of the midwestern Basins and Arches Region, in parts of Indiana, Ohio, Illinois, and Michigan","docAbstract":"<p>Aquifers in Quaternary glacial deposits and the underlying Silurian and Devonian carbonate bedrock in parts of Indiana, Ohio, Illinois, and Michigan compose the regional aquifer system under investigation as part of the Midwestern Basins and Arches Regional Aquifer System Analysis (Midwestern Basins and Arches&mdash;RASA) project of the U.S. Geological Survey (USGS). The Midwestern Basins and Arches&mdash;RASA is part of a USGS program to assess the regional hydrology, geology, and water quality of the Nation's most important aquifers (Sun, 1986). An objective specific to the Midwestern Basins and Arches&mdash;RASA project is to conceptualize and describe regional ground-water flow in the glacial-deposit and carbonate-bedrock aquifer system, including regional recharge and discharge areas and regional relations between surface and ground water (Bugliosi, 1990).<br />Water-level and ground-water discharge data were collected and (or) analyzed to help meet the above objective. Specifically, data from the USGS Ground-Water Site Inventory (GWSI) data base were used to determine relations between land-surface altitude and water levels in glacial-deposit aquifers. Water levels in the carbonate-bedrock aquifer were synoptically measured during July 1990, and the data were used to construct a potentiometric surface map of the aquifer. Regional hydraulic gradients and general directions of regional flow in the carbonate-bedrock aquifer can be inferred from this map. Steady-state groundwater discharge to streams that drain the area underlain by the glacial-deposit and carbonate bedrock aquifer system was estimated from base-flow daily values computed from streamflow records.<br />Water-level and ground-water-discharge data collectively form the sample information necessary to develop calibration targets for calibration of a ground-water-flow model (Anderson and Woessner, 1992). Such a ground-water-flow model of the glacial-deposit and carbonate-bedrock aquifer system was constructed to help conceptualize and describe regional ground-water flow in the aquifer system. The model was calibrated to the water-level and ground-water-discharge data presented in this atlas.</p>","language":"ENGLISH","doi":"10.3133/ha725","isbn":"0607926554","usgsCitation":"Eberts, S., 2000, Water levels and ground-water discharge, regional aquifer system of the midwestern Basins and Arches Region, in parts of Indiana, Ohio, Illinois, and Michigan: U.S. Geological Survey Hydrologic Atlas 725, 5 maps on 3 sheets :col. ;maps 50 x 48 cm., and 22 x 25 cm., sheets 77 x 102 cm., folded in envelope 30 x 24 cm., https://doi.org/10.3133/ha725.","productDescription":"5 maps on 3 sheets :col. ;maps 50 x 48 cm., and 22 x 25 cm., sheets 77 x 102 cm., folded in envelope 30 x 24 cm.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":186271,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":89985,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ha/725/plate-2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":89986,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ha/725/plate-3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":89984,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ha/725/plate-1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.46666666666667,38.63333333333333 ], [ -89.46666666666667,42.7 ], [ -83.38333333333334,42.7 ], [ -83.38333333333334,38.63333333333333 ], [ -89.46666666666667,38.63333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5f9f44","contributors":{"authors":[{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":278241,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":58969,"text":"mf2337 - 2000 - Geologic map and map database of parts of Marin, San Francisco, Alameda, Contra Costa, and Sonoma counties, California","interactions":[],"lastModifiedDate":"2018-06-18T15:41:16","indexId":"mf2337","displayToPublicDate":"2000-03-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2337","title":"Geologic map and map database of parts of Marin, San Francisco, Alameda, Contra Costa, and Sonoma counties, California","docAbstract":"This digital map database, compiled from previously published and unpublished data, and new mapping by the authors, represents the general distribution of bedrock and surficial deposits in the mapped area. Together with the accompanying text file (mageo.txt, mageo.pdf, or mageo.ps), it provides current information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution (scale) of the database to 1:62,500 or smaller\r\n     general distribution of bedrock and surficial deposits in the mapped area. \r\n     Together with the accompanying text file (mageo.txt, mageo.pdf, or \r\n     mageo.ps), it provides current information on the geologic structure and \r\n     stratigraphy of the area covered.  The database delineates map units that \r\n     are identified by general age and lithology following the stratigraphic \r\n     nomenclature of the U.S. Geological Survey.  The scale of the source maps \r\n     limits the spatial resolution (scale) of the database to 1:62,500 or\r\n     smaller.","language":"ENGLISH","doi":"10.3133/mf2337","usgsCitation":"Blake, M., Jones, D.L., Graymer, R., and digital database by Soule, A., 2000, Geologic map and map database of parts of Marin, San Francisco, Alameda, Contra Costa, and Sonoma counties, California (Version 1.0): U.S. Geological Survey Miscellaneous Field Studies Map 2337, 31 p. and 1 sheet, https://doi.org/10.3133/mf2337.","productDescription":"31 p. and 1 sheet","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":6016,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mf/2000/2337/","linkFileType":{"id":5,"text":"html"}},{"id":109909,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_23459.htm","linkFileType":{"id":5,"text":"html"},"description":"23459"},{"id":7948,"rank":9999,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/mf/2000/2337/version_history.txt","linkFileType":{"id":2,"text":"txt"}},{"id":183053,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"75000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.96666666666667,37.75 ], [ -122.96666666666667,38.25 ], [ -122.25,38.25 ], [ -122.25,37.75 ], [ -122.96666666666667,37.75 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a493e","contributors":{"authors":[{"text":"Blake, M.C. Jr.","contributorId":27094,"corporation":false,"usgs":true,"family":"Blake","given":"M.C.","suffix":"Jr.","affiliations":[],"preferred":false,"id":261187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, D. L.","contributorId":65045,"corporation":false,"usgs":true,"family":"Jones","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":261188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graymer, R. W.","contributorId":21174,"corporation":false,"usgs":true,"family":"Graymer","given":"R. W.","affiliations":[],"preferred":false,"id":261186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"digital database by Soule, Adam","contributorId":20831,"corporation":false,"usgs":true,"family":"digital database by Soule","given":"Adam","email":"","affiliations":[],"preferred":false,"id":261185,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5061,"text":"fs16899 - 2000 - Trends in surface-water quality during implementation of best-management practices in Mill Creek and Muddy Run Basins, Lancaster County, Pennsylvania","interactions":[],"lastModifiedDate":"2018-02-09T12:48:56","indexId":"fs16899","displayToPublicDate":"2000-03-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"168-99","title":"Trends in surface-water quality during implementation of best-management practices in Mill Creek and Muddy Run Basins, Lancaster County, Pennsylvania","docAbstract":"<p>Analyses of water samples collected over a 5-year period (1993-98) in the Mill Creek and Muddy Run Basins during implementation of agricultural best-management practices (BMP’s) indicate statistically significant trends in the concentrations of several nutrient species and in nonfilterable residue (suspended solids). The strongest trends identified were those indicated by a more than 50- percent decrease in the flow-adjusted concentrations of total and dissolved phosphorus and total residue in base flow in the two streams. Analyses of stormflow samples showed a 31-percent decrease in the flow-adjusted concentration of total phosphorus in Mill Creek and a 54-percent decrease in total nonfilterable residue in Muddy Run. A 58-percent increase in the flow-adjusted concentration of total ammonia nitrogen in stormflow was found at Muddy Run.</p><p>Although the effects of a specific BMP on the indicated trends is uncertain, results of statistical trend tests of the data suggest that stream fencing, possibly in concert with other practices, such as stream crossings for livestock, barnyard runoff control, manure-storage facilities, and rotational grazing, was effective in improving water quality during base flow and probably low to moderate stormflow conditions. Additional improvements in water quality in the Mill Creek and Muddy Run Basins seems likely as the implementation of BMP’s is expected to continue. Thus, the full effect of BMP implementation in the two basins may not be observed for some time.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs16899","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection","usgsCitation":"Koerkle, E.H., 2000, Trends in surface-water quality during implementation of best-management practices in Mill Creek and Muddy Run Basins, Lancaster County, Pennsylvania: U.S. Geological Survey Fact Sheet 168-99, 6 p., https://doi.org/10.3133/fs16899.","productDescription":"6 p.","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":117130,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/1999/0168/coverthb.jpg"},{"id":396,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/1999/0168/fs19990168.pdf","text":"Report","size":"411 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 1999-0168"}],"contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, <a href=\"https://pa.water.usgs.gov/\" data-mce-href=\"https://pa.water.usgs.gov/\">Pennsylvania Water Science Center</a> <br> U.S. Geological Survey <br> 215 Limekiln Road <br> New Cumberland, PA 17070</p>","tableOfContents":"<ul><li>Introduction</li><li>Site Description</li><li>Study Design</li><li>Data Analysis</li><li>Water Quality</li><li>Trends in Nutrient and Residue Concentrations</li><li>Loads and Yields</li><li>References Cited</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db625287","contributors":{"authors":[{"text":"Koerkle, Edward H. ekoerkle@usgs.gov","contributorId":2014,"corporation":false,"usgs":true,"family":"Koerkle","given":"Edward","email":"ekoerkle@usgs.gov","middleInitial":"H.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":150355,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":4943,"text":"fs13899 - 2000 - Using OTIS to model solute transport in streams and rivers","interactions":[],"lastModifiedDate":"2020-02-26T19:19:23","indexId":"fs13899","displayToPublicDate":"2000-03-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"138-99","title":"Using OTIS to model solute transport in streams and rivers","docAbstract":"Solute transport in streams and rivers is governed by a suite of hydrologic and geochemical processes. Knowledge of these processes is needed when assessing the fate of contaminants that are released into surface waters. The study of solute fate and transport often is aided by solute transport models that mathematically describe the underlying processes. This fact sheet describes a model that considers One-Dimensional Transport with Inflow and Storage (OTIS). As shown by several example applications, OTIS may be used in conjunction with field-scale data to quantify hydrologic processes (advection, dispersion, and transient storage) and certain chemical reactions (sorption and first-order decay).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Denver, CO","doi":"10.3133/fs13899","usgsCitation":"Runkel, R.L., 2000, Using OTIS to model solute transport in streams and rivers: U.S. Geological Survey Fact Sheet 138-99, 4 p., https://doi.org/10.3133/fs13899.","productDescription":"4 p.","numberOfPages":"4","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":120757,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/1999/0138/report-thumb.jpg"},{"id":31805,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/0138-99/report.pdf","text":"Report","size":"2.6","linkFileType":{"id":1,"text":"pdf"},"description":"FS 138-99"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a16e4b07f02db603ccd","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":150180,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70178558,"text":"70178558 - 2000 - Impact of storm-water outfalls on sediment quallity in corpus Christi Bay, Texas, USA","interactions":[],"lastModifiedDate":"2016-12-02T14:33:57","indexId":"70178558","displayToPublicDate":"2000-03-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Impact of storm-water outfalls on sediment quallity in corpus Christi Bay, Texas, USA","docAbstract":"<p><span>To determine the quality of sediments and extent of contaminant impacts, a Sediment Quality Triad (SQT) study was conducted at 36 sites in the Corpus Christi Bay, Texas, USA, system. Fifteen of the 36 sites were located near storm-water outfalls, but 13 other sites (i.e., industrial and domestic outfalls, oil field–produced water discharges, and dredging activity) and eight reference sites were also evaluated. Sediment samples were collected and analyzed for physical–chemical characteristics, contaminant concentrations (metals, polycyclic aromatic hydrocarbons [PAHs], polychlorinated biphenyls [PCBs], and pesticides), toxicity (amphipod and mysid solid phase and sea urchin pore-water fertilization and embryological development tests), and a benthic index of biotic integrity (BIBI) composed of 10 independent metrics calculated for each site. This large data matrix was reduced using multivariate analysis to create new variables for each component representing overall means and containing most of the variance in the larger data set. The new variables were used to conduct the correlation analysis. Toxicity was significantly correlated with both chemistry and ecological responses, whereas no correlations between the benthic metrics and sediment chemistry were observed. Using the combined information from the SQT, four of the five most degraded sites were storm-water outfall sites. Although estuaries are naturally stressful environments because of salinity and temperature fluctuations, this ecosystem appears to have been compromised by anthropogenic influences similar to what has been observed for other heavily urbanized bay systems along the Texas and Gulf coast.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.5620190307","usgsCitation":"Carr, R.S., Montagna, P.A., Biedenbach, J.M., Kalke, R., Kennicutt, M.C., Hooten, R.L., and Cripe, G., 2000, Impact of storm-water outfalls on sediment quallity in corpus Christi Bay, Texas, USA: Environmental Toxicology and Chemistry, v. 19, no. 3, p. 561-574, https://doi.org/10.1002/etc.5620190307.","productDescription":"14 p.","startPage":"561","endPage":"574","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":331243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Corpus Christi Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.17269897460938,\n              27.82571742243833\n            ],\n            [\n              -97.21527099609375,\n              27.831789750079267\n            ],\n            [\n              -97.22488403320312,\n              27.86214629109338\n            ],\n            [\n              -97.25509643554686,\n              27.88521157791217\n            ],\n            [\n              -97.2894287109375,\n              27.887639217136517\n            ],\n            [\n              -97.3388671875,\n              27.887639217136517\n            ],\n            [\n              -97.42950439453125,\n              27.887639217136517\n            ],\n            [\n              -97.49267578125,\n              27.896135525750502\n            ],\n            [\n              -97.54074096679688,\n              27.873072565422785\n            ],\n            [\n              -97.52838134765624,\n              27.83786173797305\n            ],\n            [\n              -97.46795654296875,\n              27.81357174811185\n            ],\n            [\n              -97.415771484375,\n              27.803854230585227\n            ],\n            [\n              -97.40341186523436,\n              27.76497547076884\n            ],\n            [\n              -97.3828125,\n              27.72851401477361\n            ],\n            [\n              -97.33749389648438,\n              27.68839232178566\n            ],\n            [\n              -97.349853515625,\n              27.653121688456565\n            ],\n            [\n              -97.41714477539062,\n              27.647039394312074\n            ],\n            [\n              -97.33200073242188,\n              27.592283532030677\n            ],\n            [\n              -97.28530883789062,\n              27.586197857692664\n            ],\n            [\n              -97.19879150390625,\n              27.738238263104016\n            ],\n            [\n              -97.17269897460938,\n              27.82571742243833\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2000-03-01","publicationStatus":"PW","scienceBaseUri":"583d5035e4b0d9329c80c5a5","contributors":{"authors":[{"text":"Carr, R. 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,{"id":25004,"text":"pp1614 - 2000 - Geologic studies in Alaska by the U.S. Geological Survey, 1997","interactions":[],"lastModifiedDate":"2025-01-07T20:22:35.282262","indexId":"pp1614","displayToPublicDate":"2000-03-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1614","title":"Geologic studies in Alaska by the U.S. Geological Survey, 1997","docAbstract":"<p>The eight papers that follow continue the series of U.S. Geological Survey (USGS) reports on investigations in the geologic sciences in Alaska. The series presents new and sometimes preliminary findings that are of interest to earth scientists in academia, government, and industry; to land and resource managers; and to the general public. Reports presented in Geologic Studies in Alaska cover a broad spectrum of topics from all parts of the State (fig. 1), which serves to emphasize the diversity of USGS efforts to meet the Nation's needs for earth-science information in Alaska.</p><p>The papers in this volume are organized under the topics Resources, Geologic Framework, and Environment and Climate. Such an organization is intended to reflect the scope and objectives of USGS programs currently active in Alaska. Resource papers include one that presents detailed observations from a Mississippian Zn-Pb-Cu-Ag occurrence in the Brooks Range (Werdon). Mineralogic, chemical, and isotopic data provide the basis for a proposed relationship between this vein-breccia deposit and the shale-hosted massive sulfide deposit type, which includes the active Red Dog mine in the western Brooks Range. Also included under the topic of Resources is a paper that presents geochemical and isotopic data from the Greens Creek and Woewodski Island volcanogenic massive sulfide deposits in southeastern Alaska (Newberry and Brew). The depositional environment and sedimentological setting of Tertiary coal beds in the Matanuska and Susitna Valleys is the focus of a third paper under the topic of Resources (Flores and others).</p><p>Geologic Framework studies provide background information that is the scientific basis for present and future studies of the environment, mineral and energy resources, paleoclimate, and hazards in Alaska. One paper presents the results of sedimentologic and paleontologic comparisons of lower Paleozoic, deep-water-facies rock units in central Alaska (Dumoulin and others). The authors show which of these units are likely to correlate with one another, suggest likely source regions, and provide a structural restoration of units that have been fragmented by large fault motions. A second framework paper provides a map, rock descriptions, and chemical compositions of volcanic rocks in a newly recognized, geologically young volcanic center in the Aleutian volcanic arc (Hildreth and others). A third paper presents an interesting summary of gravity changes that occurred in south-central Alaska during the great earthquake of 1964 and for the following 25 years (Barnes). Gravity changes correlate with land-elevation changes in some cases, but not in others, which means that different processes are responsible for the gravity changes.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1614","usgsCitation":"2000, Geologic studies in Alaska by the U.S. Geological Survey, 1997: U.S. Geological Survey Professional Paper 1614, v, 160 p., https://doi.org/10.3133/pp1614.","productDescription":"v, 160 p.","numberOfPages":"168","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":465818,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_23036.htm","text":"Metal cycling along the northwestern Seward Peninsula, Alaska: a possible natural cause of metal contamination in the Arctic","linkFileType":{"id":5,"text":"html"}},{"id":465819,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_23037.htm","text":"Major-element, trace-element, and strontium-isotope systematics of natural waters in the Fairbanks mining district: constraints from local geology","linkFileType":{"id":5,"text":"html"}},{"id":118819,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1614/report-thumb.jpg"},{"id":54001,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1614/pp1614_report.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299553,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1614/","linkFileType":{"id":5,"text":"html"}},{"id":421096,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_23030.htm","text":"Geologic setting of Mississippian vein-breccias at the Kady 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,{"id":5093,"text":"fs18799 - 2000 - Public water-supply use in Kansas, 1987–97","interactions":[],"lastModifiedDate":"2019-05-10T11:44:43","indexId":"fs18799","displayToPublicDate":"2000-03-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"187-99","displayTitle":"Public Water-Supply Use in Kansas, 1987–97","title":"Public water-supply use in Kansas, 1987–97","docAbstract":"<p>Annual State reporting requirements yield data on public water-supply use in Kansas. data is essential for responsible and effective use of the information by various State agencies. This fact sheet describes water-use data evaluation, illustrates variations in public-supply water use from 1987 through 1997, and documents improvements in water conservation efforts among Kansas public water suppliers. This fact sheet is part of an ongoing study conducted by the U.S. Geological Survey in cooperation with the Kansas Water Office and is supported in part by the Kansas State Water Plan Fund.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs18799","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Kenny, J., 2000, Public water-supply use in Kansas, 1987–97: U.S. Geological Survey Fact Sheet 187-99, 4 p., https://doi.org/10.3133/fs18799.","productDescription":"4 p.","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":117147,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/1999/0187/coverthb.jpg"},{"id":360100,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/1999/0187/fs19990187.pdf","text":"Report","size":"114 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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 \"}}]}","contact":"<p><a href=\"mailto:%20dc_ks@usgs.gov\" data-mce-href=\"mailto:%20dc_ks@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/kswsc\" data-mce-href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS 66049</p>","tableOfContents":"<ul><li>Introduction</li><li>Per Capita Water Usage</li><li>Unaccounted for Water</li><li>Water Rates</li><li>Summary</li><li>References</li><li>Additional Reading on Water Use in Kansas</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db687e0d","contributors":{"authors":[{"text":"Kenny, Joan F.","contributorId":69132,"corporation":false,"usgs":true,"family":"Kenny","given":"Joan F.","affiliations":[],"preferred":false,"id":150406,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70180111,"text":"70180111 - 2000 - Direct behavioral evidence that unique bile acids released by larval sea lamprey (Petromyzon marinus) function as a migratory pheromone","interactions":[],"lastModifiedDate":"2017-01-24T13:20:12","indexId":"70180111","displayToPublicDate":"2000-03-01T00:00:00","publicationYear":"2000","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":"Direct behavioral evidence that unique bile acids released by larval sea lamprey (Petromyzon marinus) function as a migratory pheromone","docAbstract":"<p><span>Four behavioral experiments conducted in both the laboratory and the field provide evidence that adult sea lamprey (</span><i>Petromyzon marinus</i><span>) select spawning rivers based on the odor of larvae that they contain and that bile acids released by the larvae are part of this pheromonal odor. First, when tested in a recirculating maze, migratory adult lamprey spent more time in water scented with larvae. However, when fully mature, adults lost their responsiveness to larvae and preferred instead the odor of mature individuals. Second, when tested in a flowing stream, migratory adults swam upstream more actively when the water was scented with larvae. Third, when migratory adults were tested in a laboratory maze containing still water, they exhibited enhanced swimming activity in the presence of a 0.1 nM concentration of the two unique bile acids released by larvae and detected by adult lamprey. Fourth, when adults were exposed to this bile acid mixture within flowing waters, they actively swam into it. Taken together, these data suggest that adult lamprey use a bile acid based larval pheromone to help them locate spawning rivers and that responsiveness to this cue is influenced by current flow, maturity, and time of day. Although the precise identity and function of the larval pheromone remain to be fully elucidated, we believe that this cue will ultimately prove useful as an attractant in sea lamprey control.</span></p>","language":"English","publisher":"NRC Research Press ","doi":"10.1139/f99-290","usgsCitation":"Bjerselius, R., Li, W., Teeter, J.H., Seelye, J.G., Johnson, P.B., Maniak, P.J., Grant, G.C., Polkinghorne, C.N., and Sorensen, P.W., 2000, Direct behavioral evidence that unique bile acids released by larval sea lamprey (Petromyzon marinus) function as a migratory pheromone: Canadian Journal of Fisheries and Aquatic Sciences, v. 57, no. 3, p. 557-569, https://doi.org/10.1139/f99-290.","productDescription":"13 p. ","startPage":"557","endPage":"569","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":333818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"588876dde4b05ccb964baaf3","contributors":{"authors":[{"text":"Bjerselius, Rickard","contributorId":178667,"corporation":false,"usgs":false,"family":"Bjerselius","given":"Rickard","email":"","affiliations":[],"preferred":false,"id":660353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":660354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teeter, John H.","contributorId":178668,"corporation":false,"usgs":false,"family":"Teeter","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":660355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seelye, James G.","contributorId":69919,"corporation":false,"usgs":true,"family":"Seelye","given":"James","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":660356,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Peter B.","contributorId":178669,"corporation":false,"usgs":false,"family":"Johnson","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":660357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maniak, Peter J.","contributorId":178670,"corporation":false,"usgs":false,"family":"Maniak","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660358,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grant, Gerold C.","contributorId":178671,"corporation":false,"usgs":false,"family":"Grant","given":"Gerold","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":660359,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Polkinghorne, Christine N.","contributorId":178672,"corporation":false,"usgs":false,"family":"Polkinghorne","given":"Christine","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":660360,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sorensen, Peter W.","contributorId":49720,"corporation":false,"usgs":true,"family":"Sorensen","given":"Peter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":660361,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70022891,"text":"70022891 - 2000 - Compositional analyses of small lunar pyroclastic deposits using Clementine multispectral data","interactions":[],"lastModifiedDate":"2019-02-11T10:45:58","indexId":"70022891","displayToPublicDate":"2000-02-25T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Compositional analyses of small lunar pyroclastic deposits using Clementine multispectral data","docAbstract":"<p>Clementine ultraviolet-visible (UVVIS) data are used to examine the compositions of 18 pyroclastic deposits (15 small, three large) at 13 sites on the Moon. Compositional variations among pyroclastic deposits largely result from differing amounts of new basaltic (or juvenile) material and reworked local material entrained in their ejecta upon eruption. Characterization of pyroclastic deposit compositions allows us to understand the mechanisms of lunar explosive volcanism. Evidence for compositional differences between small pyroclastic deposits at a single site is observed at Atlas crater. At all sites, compositional variation among the small pyroclastic deposits is consistent with earlier classification based on Earth-based spectra: three compositional groups can be observed, and the trend of increasing mafic absorption band strength from Group 1 to Group 2 to Group 3 is noted. As redefined here, Group 1 deposits include those of Alphonsus West, Alphonsus Southeast, Alphonsus Northeast 2, Atlas South, Crüger, Franklin, Grimaldi, Lavoisier, Oppenheimer, Orientale, and Riccioli. Group 1 deposits resemble lunar highlands, with weak mafic bands and relatively high UV/VIS ratios. Group 2 deposits include those of Alphonsus Northeast 1, Atlas North, Eastern Frigoris East and West, and Aristarchus Plateau; Group 2 deposits are similar to mature lunar maria, with moderate mafic band depths and intermediate UV/VIS ratios. The single Group 3 deposit, J. Herschel, has a relatively strong mafic band and a low UV/VIS ratio, and olivine is a likely juvenile component. Two of the deposits in these groups, Orientale and Aristarchus, are large pyroclastic deposits. The third large pyroclastic deposit, Apollo 17/Taurus Littrow, has a very weak mafic band and a high UV/VIS ratio and it does not belong to any of the compositional groups for small pyroclastic deposits. The observed compositional variations indicate that highland and mare materials are also present in many large and small pyroclastic deposits, and they suggest that volcanic glasses or spheres may not be dominant juvenile components in all large pyroclastic deposits.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/1999JE001070","issn":"01480227","usgsCitation":"Gaddis, L.R., Hawke, B.R., Robinson, M.S., and Coombs, C., 2000, Compositional analyses of small lunar pyroclastic deposits using Clementine multispectral data: Journal of Geophysical Research E: Planets, v. 105, no. E2, p. 4245-4262, https://doi.org/10.1029/1999JE001070.","productDescription":"18 p.","startPage":"4245","endPage":"4262","numberOfPages":"18","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":479141,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/1999je001070","text":"Publisher Index Page"},{"id":233794,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"E2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f934e4b0c8380cd4d4c7","contributors":{"authors":[{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":395306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawke, Bernard Ray","contributorId":61506,"corporation":false,"usgs":true,"family":"Hawke","given":"Bernard","email":"","middleInitial":"Ray","affiliations":[],"preferred":false,"id":395305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Mark S.","contributorId":167665,"corporation":false,"usgs":false,"family":"Robinson","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":395304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coombs, Cassandra","contributorId":213080,"corporation":false,"usgs":false,"family":"Coombs","given":"Cassandra","email":"","affiliations":[],"preferred":false,"id":395303,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70074748,"text":"70074748 - 2000 - Mineralogic and compositional properties of Martian soil and dust: results from Mars Pathfinder","interactions":[],"lastModifiedDate":"2017-01-11T15:56:36","indexId":"70074748","displayToPublicDate":"2000-02-01T13:39:53","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Mineralogic and compositional properties of Martian soil and dust: results from Mars Pathfinder","docAbstract":"Mars Pathfinder obtained multispectral, elemental, magnetic, and physical measurements of soil and dust at the Sagan Memorial Station during the course of its 83 sol mission. We describe initial results from these measurements, concentrating on multispectral and elemental data, and use these data, along with previous Viking, SNC meteorite, and telescopic results, to help constrain the origin and evolution of Martian soil and dust. We find that soils and dust can be divided into at least eight distinct spectral units, based on parameterization of Imager for Mars Pathfinder (IMP) 400 to 1000 nm multispectral images. The most distinctive spectral parameters for soils and dust are the reflectivity in the red, the red/blue reflectivity ratio, the near-IR spectral slope, and the strength of the 800 to 1000 nm absorption feature. Most of the Pathfinder spectra are consistent with the presence of poorly crystalline or nanophase ferric oxide(s), sometimes mixed with small but varying degrees of well-crystalline ferric and ferrous phases. Darker soil units appear to be coarser-grained, compacted, and/or mixed with a larger amount of dark ferrous materials relative to bright soils. Nanophase goethite, akaganeite, schwertmannite, and maghemite are leading candidates for the origin of the absorption centered near 900 nm in IMP spectra. The ferrous component in the soil cannot be well-constrained based on IMP data. Alpha proton X-ray spectrometer (APXS) measurements of six soil units show little variability within the landing site and show remarkable overall similarity to the average Viking-derived soil elemental composition. Differences exist between Viking and Pathfinder soils, however, including significantly higher S and Cl abundances and lower Si abundances in Viking soils and the lack of a correlation between Ti and Fe in Pathfinder soils. No significant linear correlations were observed between IMP spectral properties and APXS elemental chemistry. Attempts at constraining the mineralogy of soils and dust using normative calculations involving mixtures of smectites and silicate and oxide minerals did not yield physically acceptable solutions. We attempted to use the Pathfinder results to constrain a number of putative soil and dust formation scenarios, including palagonitization and acid-fog weathering. While the Pathfinder soils cannot be chemically linked to the Pathfinder rocks by palagonitization, this study and McSween et al. [1999] suggest that palagonitic alteration of a Martian basaltic rock, plus mixture with a minor component of locally derived andesitic rock fragments, could be consistent with the observed soil APXS and IMP properties.","language":"English","publisher":"AGU Publications","doi":"10.1029/1999JE001060","usgsCitation":"Bell, J., McSween, H., Crisp, J., Morris, R., Murchie, S., Bridges, N., Johnson, J.R., Britt, D., Golombek, M., Moore, H., Ghosh, A., Bishop, J., Anderson, R.C., Bruckner, J., Economou, T., Greenwood, J., Gunnlaugsson, H., Hargraves, R., Hviid, S., Knudsen, J.M., Madsen, M., Reid, R., Rieder, R., and Soderblom, L., 2000, Mineralogic and compositional properties of Martian soil and dust: results from Mars Pathfinder: Journal of Geophysical Research E: Planets, v. 105, no. E1, p. 1721-1755, https://doi.org/10.1029/1999JE001060.","productDescription":"35 p.","startPage":"1721","endPage":"1755","costCenters":[],"links":[{"id":479142,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/1999je001060","text":"Publisher Index Page"},{"id":281902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"105","issue":"E1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd67a6e4b0b29085101876","contributors":{"authors":[{"text":"Bell, J.F. III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":489814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McSween, H.Y. Jr.","contributorId":12243,"corporation":false,"usgs":true,"family":"McSween","given":"H.Y.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":489797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crisp, J.A.","contributorId":36327,"corporation":false,"usgs":true,"family":"Crisp","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":489802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morris, R.V.","contributorId":6978,"corporation":false,"usgs":true,"family":"Morris","given":"R.V.","affiliations":[],"preferred":false,"id":489792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murchie, S.L.","contributorId":7369,"corporation":false,"usgs":true,"family":"Murchie","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":489794,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bridges, N.T.","contributorId":23673,"corporation":false,"usgs":true,"family":"Bridges","given":"N.T.","email":"","affiliations":[],"preferred":false,"id":489799,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, J. R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":489806,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Britt, D.T.","contributorId":72150,"corporation":false,"usgs":true,"family":"Britt","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":489808,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Golombek, M.P.","contributorId":52696,"corporation":false,"usgs":true,"family":"Golombek","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":489804,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moore, H. J.","contributorId":71962,"corporation":false,"usgs":true,"family":"Moore","given":"H. J.","affiliations":[],"preferred":false,"id":489807,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ghosh, A.","contributorId":17407,"corporation":false,"usgs":true,"family":"Ghosh","given":"A.","email":"","affiliations":[],"preferred":false,"id":489798,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bishop, J.L.","contributorId":83244,"corporation":false,"usgs":true,"family":"Bishop","given":"J.L.","affiliations":[],"preferred":false,"id":489810,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Anderson, R. C.","contributorId":9755,"corporation":false,"usgs":true,"family":"Anderson","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":489795,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bruckner, J.","contributorId":12241,"corporation":false,"usgs":true,"family":"Bruckner","given":"J.","email":"","affiliations":[],"preferred":false,"id":489796,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Economou, T.","contributorId":82040,"corporation":false,"usgs":true,"family":"Economou","given":"T.","email":"","affiliations":[],"preferred":false,"id":489809,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Greenwood, J.P.","contributorId":45965,"corporation":false,"usgs":true,"family":"Greenwood","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":489803,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Gunnlaugsson, H.P.","contributorId":30518,"corporation":false,"usgs":true,"family":"Gunnlaugsson","given":"H.P.","email":"","affiliations":[],"preferred":false,"id":489801,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Hargraves, R.M.","contributorId":60132,"corporation":false,"usgs":true,"family":"Hargraves","given":"R.M.","affiliations":[],"preferred":false,"id":489805,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hviid, S.","contributorId":92467,"corporation":false,"usgs":true,"family":"Hviid","given":"S.","affiliations":[],"preferred":false,"id":489811,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Knudsen, J. M.","contributorId":97002,"corporation":false,"usgs":false,"family":"Knudsen","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":489812,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Madsen, M.B.","contributorId":97291,"corporation":false,"usgs":true,"family":"Madsen","given":"M.B.","affiliations":[],"preferred":false,"id":489813,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Reid, R.","contributorId":7183,"corporation":false,"usgs":true,"family":"Reid","given":"R.","email":"","affiliations":[],"preferred":false,"id":489793,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Rieder, R.","contributorId":28046,"corporation":false,"usgs":true,"family":"Rieder","given":"R.","email":"","affiliations":[],"preferred":false,"id":489800,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Soderblom, L.","contributorId":106244,"corporation":false,"usgs":true,"family":"Soderblom","given":"L.","affiliations":[],"preferred":false,"id":489815,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}}
,{"id":70230879,"text":"70230879 - 2000 - National land-cover pattern data","interactions":[],"lastModifiedDate":"2022-04-27T16:01:12.849711","indexId":"70230879","displayToPublicDate":"2000-02-01T10:56:24","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"National land-cover pattern data","docAbstract":"<p><span>Land cover and its spatial patterns are key ingredients in ecological studies that consider large regions and the impacts of human activities. Because land-cover maps show only cover types and their locations, further processing is needed to extract pattern information and to characterize its spatial variability. We are producing a nationally consistent spatial database of six land-cover pattern indices: forest area density, forest connectivity, the&nbsp;</span><i>U</i><span>&nbsp;index (a measure of general land-use pressure by humans), land-cover connectivity, land-cover diversity, and landscape pattern types. We use the land-cover maps produced by the Multi-resolution Land Characteristics Consortium for the conterminous United States at 30-m resolution. The goal of this paper is to encourage use of the pattern data as: contextual information and independent variables for studies involving a set of field sites; indicators of landscape conditions for ecological assessments; and dependent variables in biogeographic and socioeconomic models. The new maps will be most useful in studies that require consistent and comparable land-cover pattern measurements over large regions and can be combined with the original land-cover maps and other data.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/0012-9658(2000)081[0604:NLCPD]2.0.CO;2","usgsCitation":"Riitters, K.H., Wickham, J.D., Vogelmann, J., and Jones, K.B., 2000, National land-cover pattern data: Ecology, v. 81, no. 2, https://doi.org/10.1890/0012-9658(2000)081[0604:NLCPD]2.0.CO;2.","productDescription":"1 p.","startPage":"604","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":399759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      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,{"id":68169,"text":"ha732B - 2000 - Hydrogeology and hydrogeologic terranes of the Blue Ridge and Piedmont Physiographic Provinces in the eastern United States","interactions":[],"lastModifiedDate":"2017-07-26T13:24:28","indexId":"ha732B","displayToPublicDate":"2000-02-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":318,"text":"Hydrologic Atlas","code":"HA","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"732","chapter":"B","title":"Hydrogeology and hydrogeologic terranes of the Blue Ridge and Piedmont Physiographic Provinces in the eastern United States","docAbstract":"<p>Severe and prolonged droughts between 1961 and 1988, combined with increased demands for freshwater supplies in the United States, have resulted in a critical need to assess the potential for development of ground- and surface-water supplies. Rapid industrial growth and urban expansion have caused existing freshwater supplies to be used at or near maximum capacity. Begun in 1978, the Regional Aquifer-System Analysis (RASA) Program of the U.S. Geological Survey (USGS) is a systematic effort to study a number of the Nation's most important aquifer systems, which, in aggregate, underlie much of the country and represent an important component of the Nation's total water supply. The broad objective for each of the 28 studies in the program is to assemble geologic, hydrologic, and geochemical information, to analyze and develop an understanding of the system, and to develop predictive capabilities that will contribute to the effective management of the system.</p><p>In 1988, as part of the RASA Program, the USGS began a 6-year study of the ground-water resources of parts of 11 States in the Eastern United States (Swain and others, 1991). The study was designated the Appalachian Valley and Piedmont Regional Aquifer-System Analysis (APRASA). The APRASA team investigated ground-water resources primarily in the unglaciated part of the Valley and Ridge, the Blue Ridge, the New England, and the Piedmont Physiographic Provinces (fig. 1). For the purposes of this report, the small area in the New England Physiographic Province that is within the study area in New Jersey and Pennsylvania was considered part of the Piedmont Physiographic Province. The results of the APRASA are contained in about 50 reports and abstracts, including reports on simulation of ground-water flow in three type areas, this atlas, and chapters in Professional Paper 1422. These chapters include the summary (Chapter A), descriptions of recharge rates and surface- and ground-water relations (Chapter B), hydrogeologic terranes in the Valley and Ridge Physiographic Province (Chapter C), and ground-water geochemistry (Chapter D).</p><p>The purposes of this atlas are to summarize the hydrogeology, to describe an analysis of maps and well records, and to present a classification and map of the hydrogeologic terranes of the Blue Ridge and Piedmont Physiographic Provinces within the APRASA study area. Hydrogeologic terranes are defined for this atlas as regionally mappable areas characterized by similar water-yielding properties of a grouping of selected rock types. The hydrogeologic terranes represent areas of distinct hydrologic character. The terranes are intended to help water users locate and develop adequate water supplies and to help hydrologists interpret the regional hydrogeology.</p><p>Previous investigations provide maps and descriptions of the geologic units, describe the local quantity and quality of ground water within these units, and establish the statistical methods for comparing the water-yielding properties of these units. State geologic maps show the distribution of geologic units at a scale of 1:500,000 for Alabama (Osborne and others, 1989), Georgia (Lawton and others, 1976), North Carolina (Brown and Parker, 1985), and Virginia (Calver and Hobbs, 1963). State maps show geologic units at a scale of 1:250,000 for Maryland (Cleaves and others, 1968), New Jersey (Lewis and Kummel, 1912), Pennsylvania (Berg and others, 1980), South Carolina (Overstreet and Bell, 1965), Tennessee (Hardeman, 1966), and West Virginia (Cardwell and others, 1968). Quadrangle geologic maps show geologic units at a scale of 1:24,000 for parts of Delaware within the APRASA area (Woodruff and Thompson, 1972, 1975). Many reports have been published describing the groundwater resources of a county, parts of a county, multi-county areas, or river basins.</p><p>The statistical methods used in this atlas are based largely on those used by Helsel and Hirsch (1992) and by Knopman (1990, p. 7-9). In her analysis of well records in the USGS Ground-Water Site Inventory (GWSI) data base, Knopman (1990) ranked factors that must be taken into account when assessing the water-yielding potential of the rocks in the Valley and Ridge, the Blue Ridge, and the Piedmont Physiographic Provinces in Pennsylvania. Readers are referred to Helsel and Hirsch (1992) and Knopman (1990) for details regarding statistical methods.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ha732B","isbn":"0607920750","usgsCitation":"Mesko, T.O., Swain, L.A., and Hollyday, E., 2000, Hydrogeology and hydrogeologic terranes of the Blue Ridge and Piedmont Physiographic Provinces in the eastern United States: U.S. Geological Survey Hydrologic Atlas 732, 41.00 x 34.00 inches, https://doi.org/10.3133/ha732B.","productDescription":"41.00 x 34.00 inches","costCenters":[],"links":[{"id":190115,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ha732B.PNG"},{"id":89477,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ha/732b/plate-1.pdf","text":"Plate","size":"6.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate"}],"scale":"1","country":"United States","state":"Alabama, Delaware, Georgia, Maryland, New Jersey, North Carolina, Pennsylvania, South Carolina, Tennessee, Virginia, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.92675781249999,\n              41.590796851056005\n            ],\n            [\n              -76.48681640625,\n              41.0130657870063\n            ],\n            [\n              -78.79394531249999,\n              39.9602803542957\n            ],\n            [\n              -80.17822265625,\n              38.71980474264237\n            ],\n            [\n              -81.89208984375,\n              37.17782559332976\n            ],\n            [\n              -85.7373046875,\n              35.42486791930558\n            ],\n            [\n              -86.0888671875,\n              34.831841149828655\n            ],\n            [\n              -86.0888671875,\n              33.96158628979907\n            ],\n            [\n              -86.11083984375,\n              32.91648534731439\n            ],\n            [\n              -84.55078125,\n              33.37641235124676\n            ],\n            [\n              -82.08984375,\n              34.34343606848294\n            ],\n            [\n              -80.31005859375,\n              35.42486791930558\n            ],\n            [\n              -79.453125,\n              36.491973470593685\n            ],\n            [\n              -77.76123046875,\n              38.08268954483802\n            ],\n            [\n              -76.79443359375,\n              39.40224434029275\n            ],\n            [\n              -74.77294921875,\n              40.16208338164617\n            ],\n            [\n              -73.828125,\n              40.9964840143779\n            ],\n            [\n              -74.92675781249999,\n              41.590796851056005\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db62557f","contributors":{"authors":[{"text":"Mesko, Thomas O.","contributorId":81498,"corporation":false,"usgs":true,"family":"Mesko","given":"Thomas","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":277767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swain, Lindsay A.","contributorId":7323,"corporation":false,"usgs":true,"family":"Swain","given":"Lindsay","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":277766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hollyday, E. F.","contributorId":95062,"corporation":false,"usgs":true,"family":"Hollyday","given":"E. F.","affiliations":[],"preferred":false,"id":277768,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185213,"text":"70185213 - 2000 - Development of a pore network simulation model to study nonaqueous phase liquid dissolution","interactions":[],"lastModifiedDate":"2018-03-27T17:18:24","indexId":"70185213","displayToPublicDate":"2000-02-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Development of a pore network simulation model to study nonaqueous phase liquid dissolution","docAbstract":"<p><span>A pore network simulation model was developed to investigate the fundamental physics of nonequilibrium nonaqueous phase liquid (NAPL) dissolution. The network model is a lattice of cubic chambers and rectangular tubes that represent pore bodies and pore throats, respectively. Experimental data obtained by&nbsp;</span><i>Powers</i><span><span>&nbsp;</span>[1992] were used to develop and validate the model. To ensure the network model was representative of a real porous medium, the pore size distribution of the network was calibrated by matching simulated and experimental drainage and imbibition capillary pressure‐saturation curves. The predicted network residual styrene blob‐size distribution was nearly identical to the observed distribution. The network model reproduced the observed hydraulic conductivity and produced relative permeability curves that were representative of a poorly consolidated sand. Aqueous‐phase transport was represented by applying the equation for solute flux to the network tubes and solving for solute concentrations in the network chambers. Complete mixing was found to be an appropriate approximation for calculation of chamber concentrations. Mass transfer from NAPL blobs was represented using a corner diffusion model. Predicted results of solute concentration versus Peclet number and of modified Sherwood number versus Peclet number for the network model compare favorably with experimental data for the case in which NAPL blob dissolution was negligible. Predicted results of normalized effluent concentration versus pore volume for the network were similar to the experimental data for the case in which NAPL blob dissolution occurred with time.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/1999WR900301","usgsCitation":"Dillard, L.A., and Blunt, M.J., 2000, Development of a pore network simulation model to study nonaqueous phase liquid dissolution: Water Resources Research, v. 36, no. 2, p. 439-454, https://doi.org/10.1029/1999WR900301.","productDescription":"16 p. ","startPage":"439","endPage":"454","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":479143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/1999wr900301","text":"Publisher Index Page"},{"id":337728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba422e4b0849ce97dc78e","contributors":{"authors":[{"text":"Dillard, Leslie A.","contributorId":189405,"corporation":false,"usgs":false,"family":"Dillard","given":"Leslie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blunt, Martin J.","contributorId":189406,"corporation":false,"usgs":false,"family":"Blunt","given":"Martin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684741,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201862,"text":"70201862 - 2000 - The land cover trends project: A strategy for monitoring land cover change at a national scale","interactions":[],"lastModifiedDate":"2019-02-01T09:45:14","indexId":"70201862","displayToPublicDate":"2000-01-31T12:39:40","publicationYear":"2000","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The land cover trends project: A strategy for monitoring land cover change at a national scale","docAbstract":"<p><span>Policy-makers and scientists often require comprehensive data on the types and rates of land use and land cover change at a variety of scales. However, there is generally a lack of local, regional, and national land use and land cover data of sufficient reliability and temporal and geographic detail for providing accurate estimates of landscape change. The U.S. Geological Survey's EROS Data Center and the Landscape Ecology Branch of the U.S. Environmental Protection Agency are collaborating on a four-year research project to document the types, distributions, rates, drivers, and consequences of land cover change for the conterminous United States over the past 30 years. The project is using an ecoregion framework as a geographic stratifier. Both regional and national characteristics of change are determined by sampling land cover change for each of 84 ecoregions using five selected epochs of data from the nearly 30-year record of Landsat 1-7 data. Three types of land cover variables are being mapped or derived: (1) general land cover type; (2) landscape biophysical properties; and (3) landscape pattern. Assessments of the drivers and consequences of change within each ecoregion are then prepared. A pilot phase focusing on the analysis of five selected ecoregions is well underway and will be completed by the end of 2000. Methodologies established during the pilot phase will then be applied to the remaining ecoregions.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"EEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Taking the pulse of the planet—The role of remote sensing in managing the environment, International Geoscience and Remote Sensing Symposium","conferenceDate":"July 24-28, 2000","conferenceLocation":"Honolulu, HI","language":"English","publisher":"IEEE","publisherLocation":"Piscataway, N.J.","doi":"10.1109/IGARSS.2000.858245","usgsCitation":"Sohl, T.L., Loveland, T., Sayler, K., Gallant, A.L., Auch, R.F., and Napton, D.E., 2000, The land cover trends project: A strategy for monitoring land cover change at a national scale, <i>in</i> EEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. 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,{"id":21973,"text":"ofr99433 - 2000 - National Geochemical Database, U.S. Geological Survey RASS (Rock Analysis Storage System) geochemical data for Alaska","interactions":[],"lastModifiedDate":"2021-09-27T11:30:14.587192","indexId":"ofr99433","displayToPublicDate":"2000-01-10T00:00:00","publicationYear":"2000","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":"99-433","title":"National Geochemical Database, U.S. Geological Survey RASS (Rock Analysis Storage System) geochemical data for Alaska","docAbstract":"This dataset contains geochemical data for Alaska produced by the analytical laboratories of the Geologic Division of the U.S. Geological Survey (USGS). These data represent analyses of stream-sediment, heavy-mineral-concentrate (derived from stream sediment), soil, and organic material samples. Most of the data comes from mineral resource investigations conducted in the Alaska Mineral Resource Assessment Program (AMRAP). However, some of the data were produced in support of other USGS programs. The data were originally entered into the in-house Rock Analysis Storage System (RASS) database. The RASS database, which contains over 580,000 data records, was used by the Geologic Division from the early 1970's through the late 1980's to archive geochemical data. Much of the data have been previously published in paper copy USGS Open-File Reports by the submitter or the analyst but some of the data have never been published. \r\nOver the years, USGS scientists recognized several problems with the database. The two primary issues were location coordinates (either incorrect or lacking) and sample media (not precisely identified). This dataset represents a re-processing of the original RASS data to make the data accessible in digital format and more user friendly. This re-processing consisted of checking the information on sample media and location against the original sample submittal forms, the original analytical reports, and published reports. As necessary, fields were added to the original data to more fully describe the sample preparation methods used and sample medium analyzed. The actual analytical data were not checked in great detail, but obvious errors were corrected.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr99433","issn":"0094-9140","usgsCitation":"Bailey, E., Smith, D.B., Abston, C., Granitto, M., and Burleigh, K.A., 2000, National Geochemical Database, U.S. Geological Survey RASS (Rock Analysis Storage System) geochemical data for Alaska (Version 1.0.): U.S. Geological Survey Open-File Report 99-433, HTML Document, https://doi.org/10.3133/ofr99433.","productDescription":"HTML Document","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":152893,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10494,"rank":100,"type":{"id":15,"text":"Index 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C.","affiliations":[],"preferred":false,"id":186505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":186502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burleigh, K. A.","contributorId":20349,"corporation":false,"usgs":true,"family":"Burleigh","given":"K.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":186504,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70207686,"text":"70207686 - 2000 - Effort explores 130 Million years of Antarctic paleoenvironment","interactions":[],"lastModifiedDate":"2020-06-08T20:47:40.223184","indexId":"70207686","displayToPublicDate":"2000-01-06T12:30:51","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Effort explores 130 Million years of Antarctic paleoenvironment","docAbstract":"<p>Antarctic climate history has been dominated by events and turning points with causes that are poorly understood. To fill the gaps in our knowledges new effort is underway in the international geologic community to acquire and coordinate the circum‐Antarctic geologic data needed to derive and model paleoenvironments of the past 130 m.y. The effort, which focuses principally on using shallow (&lt;100 m) stratigraphic drilling and coring to acquire the geologic data, is being led by the Antarctic Offshore Stratigraphy Project (ANTOSTRAT), a group that works under the aegis of the Scientific Committee on Antarctic Research (SCAR).</p><p>About 40 scientists from 12 countries met this past summer in Wellington, New Zealand, at an ANTOSTRAT meeting to discuss strategies for implementing the desired paleoenvironmental field and modeling studies. The meeting was held in conjunction with the 8th International Symposium on Antarctic Earth Sciences.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/00EO00024","usgsCitation":"Kristoffersen, Y., Goodwin, I., and Cooper, A.K., 2000, Effort explores 130 Million years of Antarctic paleoenvironment: Eos, Transactions, American Geophysical Union, v. 81, no. 4, p. 36-37, https://doi.org/10.1029/00EO00024.","productDescription":"2 p.","startPage":"36","endPage":"37","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":479147,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/00eo00024","text":"Publisher Index Page"},{"id":371010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kristoffersen, Yngve","contributorId":191863,"corporation":false,"usgs":false,"family":"Kristoffersen","given":"Yngve","email":"","affiliations":[],"preferred":false,"id":778942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodwin, I.D.","contributorId":81676,"corporation":false,"usgs":true,"family":"Goodwin","given":"I.D.","email":"","affiliations":[],"preferred":false,"id":778943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Alan K. acooper@usgs.gov","contributorId":2854,"corporation":false,"usgs":true,"family":"Cooper","given":"Alan","email":"acooper@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":778944,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200410,"text":"70200410 - 2000 - Primary food resources in the Sacramento-San Joaquin Delta","interactions":[],"lastModifiedDate":"2018-10-16T16:23:28","indexId":"70200410","displayToPublicDate":"2000-01-01T16:23:19","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3914,"text":"Interagency Ecological Program Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Primary food resources in the Sacramento-San Joaquin Delta","docAbstract":"<p>The Sacramento-San Joaquin River Delta, a complex mosaic of tidal freshwater habitats, is now a focus of ecosystem rehabilitation because of changes in critical functions associated with its geographic location at the landestuary interface. One of these functions is the production, transport, and transformation of organic matter that constitutes the “primary food supply,” that is, the food supply to the base of the food web. Interest in the primary food supply is motivated by evidence for sub-optimal food quantity or quality at trophic levels that support fish recruitment, including primary consumers such as clams, mysids, cladocerans, rotifers, and native copepods. We used the historical data set to examine the magnitudes of the most important organic matter sources for the Delta, the factors underlying their interannual and longer-term variability, and the implications of ecosystem rehabilitation actions for these sources. Here, we present a summary of the first phase of the analysis, including the quantitative importance of different organic matter sources and some of the hydrological controls on their year-to-year variability. The full report of this first phaseincluding data sources, the methods of calculation, and references, is in press elsewhere (Jassby and Cloern forthcoming). The historical data analysis is part of a larger project in which measurements of stable isotopes and biogeochemical markers, and experiments on organic matter biodegradation and zooplankton growth rates, are being used collectively to define the primary food resources and their quality. </p>","language":"English","publisher":"Interagency Ecological Program for the San Francisco Estuary","usgsCitation":"Jassby, A.D., and Cloern, J.E., 2000, Primary food resources in the Sacramento-San Joaquin Delta: Interagency Ecological Program Newsletter, v. 13, no. 3, p. 21-25.","productDescription":"5 p.","startPage":"21","endPage":"25","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":358449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358448,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://water.ca.gov/-/media/DWR-Website/Web-Pages/Programs/Environmental-Services/Interagency-Ecological-Program/Files/Newsletters/IEP-Newsletter-2000-Vol13-Issue3.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","volume":"13","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10fbdde4b034bf6a8091b2","contributors":{"authors":[{"text":"Jassby, Alan D.","contributorId":66403,"corporation":false,"usgs":true,"family":"Jassby","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":748742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","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":748743,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70073401,"text":"70073401 - 2000 - Changes in North Atlantic deep-sea temperature during climatic fluctuations of the last 25,000 years based on ostracode Mg/Ca ratios","interactions":[],"lastModifiedDate":"2014-01-16T16:02:56","indexId":"70073401","displayToPublicDate":"2000-01-01T15:58:00","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Changes in North Atlantic deep-sea temperature during climatic fluctuations of the last 25,000 years based on ostracode Mg/Ca ratios","docAbstract":"We reconstructed three time series of last glacial-to-present deep-sea temperature from deep and intermediate water sediment cores from the western North Atlantic using Mg/Ca ratios of benthic ostracode shells. Although the Mg/Ca data show considerable variability (“scatter”) that is common to single-shell chemical analyses, comparisons between cores, between core top shells and modern bottom water temperatures (BWT), and comparison to other paleo-BWT proxies, among other factors, suggest that multiple-shell average Mg/Ca ratios provide reliable estimates of BWT history at these sites. The BWT records show not only glacial-to-interglacial variations but also indicate BWT changes during the deglacial and within the Holocene interglacial stage. At the deeper sites (4500- and 3400-m water depth), BWT decreased during the last glacial maximum (LGM), the late Holocene, and possibly during the Younger Dryas. Maximum deep-sea warming occurred during the latest deglacial and early Holocene, when BWT exceeded modern values by as much as 2.5°C. This warming was apparently most intense around 3000 m, the depth of the modern-day core of North Atlantic deep water (NADW). The BWT variations at the deeper water sites are consistent with changes in thermohaline circulation: warmer BWT signifies enhanced NADW influence relative to Antarctic bottom water (AABW). Thus maximum NADW production and associated heat flux likely occurred during the early Holocene and decreased abruptly around 6500 years B.P., a finding that is largely consistent with paleonutrient studies in the deep North Atlantic. BWT changes in intermediate waters (1000-m water depth) of the subtropical gyre roughly parallel the deep BWT variations including dramatic mid-Holocene cooling of around 4°C. Joint consideration of the Mg/Ca-based BWT estimates and benthic oxygen isotopes suggests that the cooling was accompanied by a decrease in salinity at this site. Subsequently, intermediate waters warmed to modern values that match those of the early Holocene maximum of ∼7°C. Intermediate water BWT changes must also be driven by changes in ocean circulation. These results thus provide independent evidence that supports the hypothesis that deep-ocean circulation is closely linked to climate change over a range of timescales regardless of the mean climate state. More generally, the results further demonstrate the potential of benthic Mg/Ca ratios as a tool for reconstructing past ocean and climate conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2000GC000046","usgsCitation":"Dwyer, G., Cronin, T.M., Baker, P.A., and Rodriguez-Lazaro, J., 2000, Changes in North Atlantic deep-sea temperature during climatic fluctuations of the last 25,000 years based on ostracode Mg/Ca ratios: Geochemistry, Geophysics, Geosystems, v. 1, no. 12, 17 p., https://doi.org/10.1029/2000GC000046.","productDescription":"17 p.","numberOfPages":"17","costCenters":[],"links":[{"id":479148,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2000gc000046","text":"Publisher Index Page"},{"id":281215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281214,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2000GC000046"}],"volume":"1","issue":"12","noUsgsAuthors":false,"publicationDate":"2000-12-28","publicationStatus":"PW","scienceBaseUri":"53cd506be4b0b290850f3531","contributors":{"authors":[{"text":"Dwyer, Gary S.","contributorId":67642,"corporation":false,"usgs":true,"family":"Dwyer","given":"Gary S.","affiliations":[],"preferred":false,"id":488693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":488692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Paul A.","contributorId":89446,"corporation":false,"usgs":true,"family":"Baker","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":488694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodriguez-Lazaro, Julio","contributorId":105227,"corporation":false,"usgs":true,"family":"Rodriguez-Lazaro","given":"Julio","affiliations":[],"preferred":false,"id":488695,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046910,"text":"70046910 - 2000 - Stations in the USGS's National Stream Quality Accounting Network (NASQAN)","interactions":[],"lastModifiedDate":"2013-07-08T15:50:31","indexId":"70046910","displayToPublicDate":"2000-01-01T15:34:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Stations in the USGS's National Stream Quality Accounting Network (NASQAN)","docAbstract":"This is a point coverage of stations in the U.S. Geological Survey's National Stream Quality Accounting Network (NASQAN). NASQAN was established in 1973.  Water-quality data currently is collected at NASQAN sites on bimonthly and quarterly intervals. However, some of the bimonthly stations will be sampled only five times a year beginning in 1992. Separate coverages exist for the conterminous United States, Alaska, Hawaii/Guam, and Puerto Rico.  The coverages attempt to represent all of the stations that are or have been in the network (some are inactive or discontinued) as of spring 1992.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046910","usgsCitation":"Hitt, K., 2000, Stations in the USGS's National Stream Quality Accounting Network (NASQAN), Dataset, https://doi.org/10.3133/70046910.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274718,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nasqan.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.23610568,23.34571536 ], [ -127.23610568,47.77402717 ], [ -66.10393296,47.77402717 ], [ -66.10393296,23.34571536 ], [ -127.23610568,23.34571536 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dbdf76e4b0f81004b77dc2","contributors":{"authors":[{"text":"Hitt, Keri","contributorId":25842,"corporation":false,"usgs":true,"family":"Hitt","given":"Keri","email":"","affiliations":[],"preferred":false,"id":480605,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70093982,"text":"70093982 - 2000 - Streamflow changes in the Sierra Nevada, California, simulated using a statistically downscaled general circulation model scenario of climate change","interactions":[],"lastModifiedDate":"2016-07-27T12:54:27","indexId":"70093982","displayToPublicDate":"2000-01-01T15:01:00","publicationYear":"2000","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Streamflow changes in the Sierra Nevada, California, simulated using a statistically downscaled general circulation model scenario of climate change","docAbstract":"<p>Simulations of future climate using general circulation models (GCMs) suggest that rising concentrations of greenhouse gases may have significant consequences for the global climate. Of less certainty is the extent to which regional scale (i.e., sub-GCM grid) environmental processes will be affected. In this chapter, a range of downscaling techniques are critiqued. Then a relatively simple (yet robust) statistical downscaling technique and its use in the modelling of future runoff scenarios for three river basins in the Sierra Nevada, California, is described. This region was selected because GCM experiments driven by combined greenhouse-gas and sulphate-aerosol forcings consistently show major changes in the hydro-climate of the southwest United States by the end of the 21st century. The regression-based downscaling method was used to simulate daily rainfall and temperature series for streamflow modelling in three Californian river basins under current-and future-climate conditions. The downscaling involved just three predictor variables (specific humidity, zonal velocity component of airflow, and 500 hPa geopotential heights) supplied by the U.K. Meteorological Office couple ocean-atmosphere model (HadCM2) for the grid point nearest the target basins. When evaluated using independent data, the model showed reasonable skill at reproducing observed area-average precipitation, temperature, and concomitant streamflow variations. Overall, the downscaled data resulted in slight underestimates of mean annual streamflow due to underestimates of precipitation in spring and positive temperature biases in winter. Differences in the skill of simulated streamflows amongst the three basins were attributed to the smoothing effects of snowpack on streamflow responses to climate forcing. The Merced and American River basins drain the western, windward slope of the Sierra Nevada and are snowmelt dominated, whereas the Carson River drains the eastern, leeward slope and is a mix of rainfall runoff and snowmelt runoff. Simulated streamflow in the American River responds rapidly and sensitively to daily-scale temperature and precipitation fluctuations and errors; in the Merced and Carson Rivers, the response to the same short-term influences is much less. Consequently, the skill of simulated flows was significantly lower in the American River model than in the Carson and Merced. The physiography of the three basins also accounts for differences in their sensitivities to future climate change. Increases in winter precipitation exceeding +100% coupled with mean temperature rises greater than +2&deg;C result in increased winter streamflows in all three basins. In the Merced and Carson basins, these streamflow increases reflect large changes in winter snowpack, whereas the streamflow changes in the lower elevation American basin are driven primarily by rainfall runoff. Furthermore, reductions in winter snowpack in the American River basin, owing to less precipitation falling as snow and earlier melting of snow at middle elevations, lead to less spring and summer streamflow. Taken collectively, the downscaling results suggest significant changes to both the timing and magnitude of streamflows in the Sierra Nevada by the end of the 21st Century. In the higher elevation basins, the HadCM2 scenario implies more annual streamflow and more streamflow during the spring and summer months that are critical for water-resources management in California. Depending on the relative significance of rainfall runoff and snowmelt, each basin responds in its own way to regional climate forcing. Generally, then, climate scenarios need to be specified &mdash; by whatever means &mdash; with sufficient temporal and spatial resolution to capture subtle orographic influences if projections of climate-change responses are to be useful and reproducible.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Linking climate change to land surface change","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer","doi":"10.1007/0-306-48086-7_6","isbn":"978-0-306-48086-7","usgsCitation":"Wilby, R.L., and Dettinger, M., 2000, Streamflow changes in the Sierra Nevada, California, simulated using a statistically downscaled general circulation model scenario of climate change, chap. <i>of</i> Linking climate change to land surface change, v. 6, p. 99-121, https://doi.org/10.1007/0-306-48086-7_6.","productDescription":"23 p.","startPage":"99","endPage":"121","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":282436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282435,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/0-306-48086-7_6"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.886496,37.494762 ], [ -119.886496,38.185228 ], [ -119.195416,38.185228 ], [ -119.195416,37.494762 ], [ -119.886496,37.494762 ] ] ] } } ] }","volume":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7493e4b0b290851099eb","contributors":{"authors":[{"text":"Wilby, Robert L.","contributorId":101561,"corporation":false,"usgs":true,"family":"Wilby","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":490412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":31743,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","affiliations":[],"preferred":false,"id":490411,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70100572,"text":"70100572 - 2000 - Northeastern Gulf of Mexico Coastal and Marine Ecosystem Program: Coastal Characterization: an overview and update","interactions":[],"lastModifiedDate":"2014-04-02T15:15:38","indexId":"70100572","displayToPublicDate":"2000-01-01T14:49:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":46,"text":"Minerals Management Service","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"MMS 2000-030","title":"Northeastern Gulf of Mexico Coastal and Marine Ecosystem Program: Coastal Characterization: an overview and update","docAbstract":"The U.S. Geological Surveys Biological Resources Division (BRD) mission is to provide leadership\nin gathering, analyzing, and disseminating biological information as support for sound management\nof the Nation's natural resources. Since becoming operational in October of 1996 through the\ntransfer of programs from various bureaus within the Department of the Interior, the BRD, in\ncooperation with other Federal, State, and local partners, has begun research, inventory and\nmonitoring, information sharing, and technology transfer. Through these activities, the BRD is\nfostering an understanding of biological systems and their benefits to society, and providing the\nessential scientific support and technical assistance required for management and policy decisions.\nThe role of BRD' s National Wetlands Research Center (NWRC) in Lafayette, Louisiana, with\nproject offices in Baton Rouge, LA and Gulf Breeze, FL, is to provide leadership in research and\ndevelopment related to the Nation's natural resources for the Southeast. The research focuses on\nwetlands ecology, animal ecology, and the development and application of spatial analysis\ntechniques for natural resource related studies.\nCurrent geographic information system (GIS) technologies in use at NWRC are designed to provide\nnatural resource managers with the on-line data and computerized techniques necessary to make\ninformed decisions. Major GIS activities at NWRC include: compilation and analysis of digital\ndatabases for monitoring of natural resources; integration and transfer of databases with existing\ndigital databases from various sources into a comprehensive GIS; and development of\nmultifunctional decision support systems for natural resource managers using these data. NWRC is\nalso an active participant in the National Information Infrastructure (NIT), in particular the National\nSpatial Data Infrastructure (NSDI) and the National Biological Information Infrastructure (NBTI),\nwhich will facilitate the dissemination of research results and other knowledge and information\ngained from these efforts. This summary and the three summaries that follow provides an overview\nand update of a four year study entitled, Northeastern Gulf of Mexico Coastal and Marine Ecosystem\nProgram: Coastal Characterization.","largerWorkTitle":"Proceedings: Eighteenth Annual Gulf of Mexico Information Transfer Meeting","language":"English","publisher":"U.S. Department of the Interior","collaboration":"Prepared under MMS Contract 1435-0001-30665 by University of New Orleans Office of Conference Services","usgsCitation":"Johnston, J.B., Handley, L.R., Jones, W.R., and Robb, S., 2000, Northeastern Gulf of Mexico Coastal and Marine Ecosystem Program: Coastal Characterization: an overview and update: Minerals Management Service MMS 2000-030, 3 p.","productDescription":"3 p.","startPage":"269","endPage":"271","numberOfPages":"3","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":285310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535594bbe4b0120853e8c0af","contributors":{"authors":[{"text":"Johnston, James B.","contributorId":78039,"corporation":false,"usgs":true,"family":"Johnston","given":"James","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":492328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handley, Lawrence R. handleyl@usgs.gov","contributorId":3459,"corporation":false,"usgs":true,"family":"Handley","given":"Lawrence","email":"handleyl@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":492327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, William R. 0000-0002-5493-4138 jonesb@usgs.gov","orcid":"https://orcid.org/0000-0002-5493-4138","contributorId":463,"corporation":false,"usgs":true,"family":"Jones","given":"William","email":"jonesb@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":492326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robb, Steve","contributorId":84842,"corporation":false,"usgs":true,"family":"Robb","given":"Steve","email":"","affiliations":[],"preferred":false,"id":492329,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70073948,"text":"70073948 - 2000 - Prodigious polyphyly in imperilled freshwater pearly-mussels (Bivalvia: Unionidae): a phylogenetic test of species and generic designations","interactions":[],"lastModifiedDate":"2014-01-24T14:36:37","indexId":"70073948","displayToPublicDate":"2000-01-01T14:32:00","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1785,"text":"Geological Society Special Publication","active":true,"publicationSubtype":{"id":10}},"title":"Prodigious polyphyly in imperilled freshwater pearly-mussels (Bivalvia: Unionidae): a phylogenetic test of species and generic designations","docAbstract":"Unionid bivalves or freshwater pearly-mussels (Unionoidea: Unionidae) serve as an exemplary system for examining many of the problems facing systematists and conservation biologists today. Most of the species and genera were described in the late 1800s and early 1900s, but few phylogenetic studies have been conducted to test conventional views of species and classification. Pearly-mussels of Gulf Coastal drainages of the southeastern United States from the Escambia (southern Alabama to Florida) to the Suwannee Rivers (Florida) are a unique fauna comprised of approximately 100 species, with about 30 endemic to the region. In this study, mitochondrial cytochrome c oxidase subunit I and 16S rRNA gene sequences were used to test the monophyly and to estimate evolutionary relationships of five unionid species representing three different genera. The molecular phylogenies depict all three genera as polyphyletic. The prodigious polyphyly exhibited within unionids is due to incorrect notions of homology and false assumptions about missing anatomical data. In contrast, the molecular phylogeny provides evidence to support the recognition of all five unionid species as distinct evolutionary entities. Furthermore, molecular genealogical evidence supports the elevation of Quincuncina infucata (Conrad) of the Suwannee River to species level, for which Q. kleiniana (Lea) is available.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society Special Publication","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of London","doi":"10.1144/GSL.SP.2000.177.01.08","usgsCitation":"Lydeard, C., Minton, R.L., and Williams, J.D., 2000, Prodigious polyphyly in imperilled freshwater pearly-mussels (Bivalvia: Unionidae): a phylogenetic test of species and generic designations: Geological Society Special Publication, v. 177, p. 145-158, https://doi.org/10.1144/GSL.SP.2000.177.01.08.","productDescription":"14 p.","startPage":"145","endPage":"158","numberOfPages":"14","costCenters":[],"links":[{"id":281511,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/GSL.SP.2000.177.01.08"},{"id":281512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"177","noUsgsAuthors":false,"publicationDate":"2000-12-12","publicationStatus":"PW","scienceBaseUri":"53cd6e35e4b0b29085105a3e","contributors":{"authors":[{"text":"Lydeard, Charles","contributorId":83831,"corporation":false,"usgs":true,"family":"Lydeard","given":"Charles","email":"","affiliations":[],"preferred":false,"id":489264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minton, Russell L.","contributorId":28895,"corporation":false,"usgs":true,"family":"Minton","given":"Russell","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, James D.","contributorId":17690,"corporation":false,"usgs":false,"family":"Williams","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":489262,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094757,"text":"70094757 - 2000 - TES observations of the martian surface and atmosphere","interactions":[],"lastModifiedDate":"2014-02-24T13:58:57","indexId":"70094757","displayToPublicDate":"2000-01-01T13:50:00","publicationYear":"2000","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"TES observations of the martian surface and atmosphere","docAbstract":"The TES instrument is a Fourier transform Michelson interferometer operating with 10 or 5 cm<sup>-1</sup> sampling int he thermal infared spectral region from 1700 to 200 cm<sup>-1</sup> (~6 to 50 &mu;m) where virtually all minerals have characteristic fundamental vibrational absorption bands (1, 2, 3, 4, 5, 6, 7, 8). The TES data used in this paper are among the 6x10<sup>7</sup> spectra collected during the early mapping phase of the MGS mission from southern hemisphere winter to early summer (aerocentric longitude, L<sub>s</sub>, 107&deg; to 297&deg;. The methodology for separating the surface and atmospheric components of the radiance from Mars, which allows detailed analysis and interpretation of surface mineralogy (9, 10), is described in previous papers (10, 11).","largerWorkTitle":"Second International Conference on Mars Polar Science and Exploration","conferenceTitle":"Second International Conference on Mars Polar Science and Exploration","conferenceDate":"2000-08-21T00:00:00","conferenceLocation":"Reykjavík, Iceland","language":"English","publisher":"Lunar and Planetary Institute","publisherLocation":"Houston, TX","usgsCitation":"Christensen, P.R., Kieffer, H.H., Pearl, J., Conrath, B., Malin, M.C., Clark, R., Morris, R., Banfield, J., Lane, M.D., Smith, M.D., Hamilton, V., and Kuzmin, R., 2000, TES observations of the martian surface and atmosphere, p. 22-23.","productDescription":"p. 22-23","numberOfPages":"2","costCenters":[],"links":[{"id":282698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd763ae4b0b2908510ac45","contributors":{"authors":[{"text":"Christensen, P. R.","contributorId":7819,"corporation":false,"usgs":false,"family":"Christensen","given":"P.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":490858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kieffer, H. H.","contributorId":40725,"corporation":false,"usgs":false,"family":"Kieffer","given":"H.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":490863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearl, J.C.","contributorId":45074,"corporation":false,"usgs":true,"family":"Pearl","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":490864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrath, B.","contributorId":39285,"corporation":false,"usgs":true,"family":"Conrath","given":"B.","email":"","affiliations":[],"preferred":false,"id":490862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Malin, M. C.","contributorId":68830,"corporation":false,"usgs":false,"family":"Malin","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":490866,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, R.C.","contributorId":49952,"corporation":false,"usgs":true,"family":"Clark","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":490865,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morris, R.V.","contributorId":6978,"corporation":false,"usgs":true,"family":"Morris","given":"R.V.","affiliations":[],"preferred":false,"id":490857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Banfield, J.L.","contributorId":32079,"corporation":false,"usgs":true,"family":"Banfield","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":490861,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, M. D.","contributorId":94826,"corporation":false,"usgs":false,"family":"Lane","given":"M.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":490868,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, M. D.","contributorId":25724,"corporation":false,"usgs":false,"family":"Smith","given":"M.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":490860,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hamilton, V.E.","contributorId":92024,"corporation":false,"usgs":true,"family":"Hamilton","given":"V.E.","email":"","affiliations":[],"preferred":false,"id":490867,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kuzmin, R.O.","contributorId":14932,"corporation":false,"usgs":true,"family":"Kuzmin","given":"R.O.","email":"","affiliations":[],"preferred":false,"id":490859,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70073836,"text":"ofr2000411 - 2000 - Data for Quaternary faults in western Montana","interactions":[],"lastModifiedDate":"2014-01-22T13:47:54","indexId":"ofr2000411","displayToPublicDate":"2000-01-01T13:40:00","publicationYear":"2000","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":"2000-411","title":"Data for Quaternary faults in western Montana","docAbstract":"The \"World Map of Major Active Faults\" Task Group is compiling published fault data, developing a digital\ndatabase of the fault data, and preparing a series of maps for the United States and other countries in the western\nHemisphere. The data is intended to portray the locations, ages, and activity rates of major earthquake-related\nfeatures such as faults, folds, and liquefaction features that have geologic evidence of Quaternary (1.6 Ma)\ndeformation. The Western Hemisphere effort is sponsored by International Lithosphere Program (ILP) Task Group\nII-2; the data compilation, database, and map for the United States is funded largely by the National Earthquake\nHazard Reduction Program (NEHRP) through the U.S. Geological Survey. The ILP effort in the Western\nHemisphere is coordinated by Michael N. Machette, the digital database is designed and managed Kathleen M.\nHaller, and map data are digitized and manipulated by Richard L. Dart. In addition to meeting the goals of the Task\nGroup II-2, this effort represents a key contribution to the new Global Seismic Hazards Assessment Program (ILP\nTask Group II-0) for the International Decade for Natural Disaster Reduction.\nThis compilation, which documents the published data on Quaternary surface faulting in western Montana, is one of\nmany similar state or regional compilations that are planned for the project. Compilations for Arizona (Pearthree,\n1998 #2945), Colorado (Widmann and others, 1998 #3441), New Mexico (Machette and others, 1998), and West\nTexas (Collins and others, 1996 #993) are currently available and the compilation for features east of the Rocky\nMountain front will be available in early 2000 (Crone and Wheeler, in press). All are primarily a catalog of data that\nincludes a variety of geographic, geologic, and paleoseismologic parameters for known or assumed Quaternary\nfaults. These data compilations, the digital database, and the companion maps summarize the published information\non known tectonic features and present the information in an internally consistent format. The compilations will be\navailable in digital database format on the WorldWide Web in the near future, which will greatly improve their\nutility. Release of data for individual states and regions within the United States in this text-based format was\nnecessary because of the time required to develop the national database.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr2000411","collaboration":"Prepared as part of the U.S. Geological Survey’s National Earthquake Hazard Reduction Program (NEHRP) project on UNITED STATES MAP OF QUATERNARY FAULTS AND FOLDS. In cooperation with the International Lithosphere Program’s Task Group II-2, World Map of Major Active Faults Michael N. Machette, Co-chairman.","usgsCitation":"Haller, K., Dart, R.L., Machette, M., and Stickney, M., 2000, Data for Quaternary faults in western Montana: U.S. Geological Survey Open-File Report 2000-411, v, 229 p., https://doi.org/10.3133/ofr2000411.","productDescription":"v, 229 p.","numberOfPages":"241","costCenters":[{"id":414,"text":"National Earthquake Hazards Reduction Program","active":false,"usgs":true}],"links":[{"id":281387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.05,44.3582 ], [ -116.05,49.0014 ], [ -108.9944,49.0014 ], [ -108.9944,44.3582 ], [ -116.05,44.3582 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd53b5e4b0b290850f550b","contributors":{"authors":[{"text":"Haller, Kathleen M. haller@usgs.gov","contributorId":1331,"corporation":false,"usgs":true,"family":"Haller","given":"Kathleen M.","email":"haller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":489112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dart, Richard L. dart@usgs.gov","contributorId":1209,"corporation":false,"usgs":true,"family":"Dart","given":"Richard","email":"dart@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":489111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Machette, Michael N.","contributorId":28963,"corporation":false,"usgs":true,"family":"Machette","given":"Michael N.","affiliations":[],"preferred":false,"id":489114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stickney, Michael C.","contributorId":27786,"corporation":false,"usgs":true,"family":"Stickney","given":"Michael C.","affiliations":[],"preferred":false,"id":489113,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}