{"pageNumber":"50","pageRowStart":"1225","pageSize":"25","recordCount":37001,"records":[{"id":70178554,"text":"ofr20161182 - 2016 - Collection methods and descriptions of coral cores extracted from massive corals in Dry Tortugas National Park, Florida, U.S.A.","interactions":[],"lastModifiedDate":"2025-12-18T13:58:51.537167","indexId":"ofr20161182","displayToPublicDate":"2016-11-29T14:45:00","publicationYear":"2016","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":"2016-1182","title":"Collection methods and descriptions of coral cores extracted from massive corals in Dry Tortugas National Park, Florida, U.S.A.","docAbstract":"<p>Cores from living coral colonies were collected from Dry Tortugas National Park, Florida, U.S.A., to obtain skeletal records of past coral growth and allow geochemical reconstruction of environmental variables during the corals’ centuries-long lifespans. The samples were collected as part of the U.S. Geological Survey Coral Reef Ecosystems Studies project (<a href=\"http:/coastal.er.usgs.gov/crest/\" data-mce-href=\"http:/coastal.er.usgs.gov/crest/\">http:/coastal.er.usgs.gov/crest</a>) that provides science to assist resource managers tasked with the stewardship of coral reef resources. Three colonies each of the coral species <i>Orbicella faveolata</i> and <i>Siderastrea siderea</i> were collected in May 2012 using the methods described herein and as approved under National Park Service scientific collecting permit number DRTO-2012-SCI-0001 and are cataloged under accession number DRTO-353. These coral samples can be used to retroactively construct environmental parameters, including sea-surface temperature, by measuring the elemental composition of the coral skeleton. The cores described here, and others (see <a href=\"http://olga.er.usgs.gov/coreviewer/\" data-mce-href=\"http://olga.er.usgs.gov/coreviewer/\">http://olga.er.usgs.gov/coreviewer/</a>), can be requested, on loan, for scientific study. Photographic images for each coral in its ocean environment, the coral cores as curated and slabbed, and the X-rays of the slabs can be found in an associated U.S. Geological Survey Data Release.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161182","usgsCitation":"Weinzierl, M.S., Reich, C.D., Hickey, T.D., Bartlett, L.A., and Kuffner, I.B., 2016, Collection methods and descriptions of coral cores extracted from massive corals in Dry Tortugas National Park, Florida, U.S.A.: U.S. Geological Survey Open-File Report 2016–1182, 8 p., https://doi.org/10.3133/ofr20161182.","productDescription":"Report: iv, 8 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079150","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":331258,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7V69GQ2","text":"USGS data release","description":"USGS data release","linkHelpText":"Coral cores collected in Dry Tortugas National Park, Florida, U.S.A.: Photographs and X-rays"},{"id":331248,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1182/coverthb.jpg"},{"id":331249,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1182/ofr20161182.pdf","text":"Report","size":"6.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1182"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83,\n              24.5\n            ],\n            [\n              -83,\n              24.8\n            ],\n            [\n              -82.5,\n              24.8\n            ],\n            [\n              -82.5,\n              24.5\n            ],\n            [\n              -83,\n              24.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>St. Petersburg Coastal and Marine Science Center<br> U.S. Geological Survey<br> 600 4th Street South<br> St. Petersburg, FL 33701<br> <a href=\"http://coastal.er.usgs.gov/\" data-mce-href=\"http://coastal.er.usgs.gov/\">http://coastal.er.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results and Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-11-29","noUsgsAuthors":false,"publicationDate":"2016-11-29","publicationStatus":"PW","scienceBaseUri":"583ea1bce4b0f0dc05ea54dd","contributors":{"authors":[{"text":"Weinzierl, Michael S.","contributorId":176487,"corporation":false,"usgs":false,"family":"Weinzierl","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":654377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickey, T. Donald","contributorId":71782,"corporation":false,"usgs":true,"family":"Hickey","given":"T.","email":"","middleInitial":"Donald","affiliations":[],"preferred":false,"id":654378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartlett, Lucy A. lbartlett@usgs.gov","contributorId":176488,"corporation":false,"usgs":true,"family":"Bartlett","given":"Lucy A.","email":"lbartlett@usgs.gov","affiliations":[],"preferred":false,"id":654376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654375,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178491,"text":"ofr20161197 - 2016 - Evaluation of the biological and hydraulic performance of the portable floating fish collector at Cougar Reservoir and Dam, Oregon, September 2015–January 2016","interactions":[],"lastModifiedDate":"2016-12-05T09:53:06","indexId":"ofr20161197","displayToPublicDate":"2016-11-28T00:00:00","publicationYear":"2016","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":"2016-1197","title":"Evaluation of the biological and hydraulic performance of the portable floating fish collector at Cougar Reservoir and Dam, Oregon, September 2015–January 2016","docAbstract":"<p class=\"p1\">The biological and hydraulic performance of a portable floating fish collector (PFFC) located in the cul-de-sac of Cougar Dam and Reservoir, Oregon, was evaluated during 2015–16. The PFFC, first commissioned in May 2014, was modified during winter 2014–15 to address several deficiencies identified during operation and testing in 2014. These modifications included raising the water inflow structures to reduce the depth and volume of inflow to improve the internal hydraulic profiles, and moving the anchors so the PFFC could be positioned closer to the existing reservoir outlet, a water temperature control tower. The PFFC was positioned about 18 meters (m) upstream of the intake of the water temperature control tower and faced into the prevailing water current. Like several floating surface collectors operating in the Pacific Northwest at the time, the PFFC used pumps to draw water and fish over an inclined plane, past dewatering screens, and into a collection area. The portable and experimental nature of the PFFC required a smaller size, shallower entrance (about 2.5-m deep), and smaller inflow rate (72 cubic feet per second <span>[ft<sup>3</sup>/s]</span> inflow during the Low treatment, <span>122 ft<sup>3</sup>/s</span> during the High treatment) than other collectors in the region.</p><p class=\"p1\">The collection of the target species, juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>)<i>, </i>during 2015–16 was an order of magnitude larger than in 2014. Subyearling-age Chinook salmon comprised most of the catch (2,616 subyearling compared to 258 yearling) and was greatest during the spring during the High inflow treatment. Bycatch consisted predominantly of cyprinids and centrarchids. Trap mortality (fish found dead in the trap) of juvenile Chinook salmon, at 9.2 percent of the subyearlings and 5.0 percent of yearlings, was about 30 percent of the level in 2014. Fish mortality from handling the live catch was about 1 percent.</p><p class=\"p1\">Data from fish tagged with passive integrated transponder (PIT) tags and those with acoustic+PIT tags released near the head of the reservoir indicated the catch rates of the PFFC were low. Eight of the 1,497 PIT-tagged fish and 5 of the 534 acoustic+PIT-tagged fish were collected by the PFFC. Fish collection efficiencies—the number collected by the PFFC out of the number detected at the head of the forebay <span>(FCE<sub>FB</sub>)</span> or in the cul-de-sac <span>(FCE<sub>CDS</sub>)</span>—were 0.002 and 0.003 during the Low treatment and 0.008 and 0.009 during the High treatment. The low FCEs were attributed to the following factors:</p><ul><li>Few acoustic+PIT-tagged fish were detected within 10 m of the PFFC entrance,</li><li>Most fish were detected between the stern of the PFFC and the entrance to the tower,</li><li>Fish depths commonly were several times greater than the PFFC entrance depth, and</li><li>Surface water temperatures were warm.</li></ul><p class=\"p1\">The data suggest that the shallow entrance and low inflow rate reduced fish guidance near the PFFC entrance and the hydraulic characteristics resulting from the outflow plumes (and perhaps water entering the temperature control tower) attracted fish to that area. Catch of juvenile Chinook salmon likely would increase if the collector entrance were deepened, the inflow rate were increased, and measures were taken to constrain fish presence to the area upstream of the trap entrance.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161197","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Beeman, J.W., Evans, S.D., Haner, P.V., Hansel, H.C., Hansen, A.C., Hansen, G.S., Hatton, T.W., Kofoot, E.E., and Sprando, J.M., 2016, Evaluation of the biological and hydraulic performance of the portable floating fish collector at Cougar Reservoir and Dam, Oregon, September 2015–January 2016: U.S. Geological Survey Open-File Report 2016–1197, 98 p., https://doi.org/10.3133/ofr20161197.","productDescription":"x, 98 p.","numberOfPages":"112","onlineOnly":"Y","ipdsId":"IP-078812","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":331253,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1197/ofr20161197.pdf","text":"Report","size":"9.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1197"},{"id":331252,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1197/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Cougar Reservoir and Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.2507095336914,\n              44.065386786862234\n            ],\n            [\n              -122.2507095336914,\n              44.13023159235851\n            ],\n            [\n              -122.20401763916016,\n              44.13023159235851\n            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jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":654388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Scott D. 0000-0003-0452-7726 sdevans@usgs.gov","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":4408,"corporation":false,"usgs":true,"family":"Evans","given":"Scott","email":"sdevans@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":654389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haner, Philip V. 0000-0001-6940-487X phaner@usgs.gov","orcid":"https://orcid.org/0000-0001-6940-487X","contributorId":2364,"corporation":false,"usgs":true,"family":"Haner","given":"Philip","email":"phaner@usgs.gov","middleInitial":"V.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":654390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansel, Hal C. 0000-0002-3537-8244 hhansel@usgs.gov","orcid":"https://orcid.org/0000-0002-3537-8244","contributorId":2887,"corporation":false,"usgs":true,"family":"Hansel","given":"Hal","email":"hhansel@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":654391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":654392,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Gabriel S. 0000-0001-6272-3632 ghansen@usgs.gov","orcid":"https://orcid.org/0000-0001-6272-3632","contributorId":3422,"corporation":false,"usgs":true,"family":"Hansen","given":"Gabriel","email":"ghansen@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":654393,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hatton, Tyson W. 0000-0002-2874-0719","orcid":"https://orcid.org/0000-0002-2874-0719","contributorId":9112,"corporation":false,"usgs":true,"family":"Hatton","given":"Tyson W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":654394,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kofoot, Eric E. pkofoot@usgs.gov","contributorId":4673,"corporation":false,"usgs":true,"family":"Kofoot","given":"Eric","email":"pkofoot@usgs.gov","middleInitial":"E.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":654395,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sprando, Jamie M. jsprando@usgs.gov","contributorId":4005,"corporation":false,"usgs":true,"family":"Sprando","given":"Jamie","email":"jsprando@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":654396,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70176395,"text":"ofr20161156 - 2016 - Hydropower assessment of Bolivia—A multisource satellite data and hydrologic modeling approach","interactions":[],"lastModifiedDate":"2017-01-17T19:02:47","indexId":"ofr20161156","displayToPublicDate":"2016-11-28T00:00:00","publicationYear":"2016","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":"2016-1156","title":"Hydropower assessment of Bolivia—A multisource satellite data and hydrologic modeling approach","docAbstract":"<p>This study produced a geospatial database for use in a decision support system by the Bolivian authorities to investigate further development and investment potentials in sustainable hydropower in Bolivia. The study assessed theoretical hydropower of all 1-kilometer (km) stream segments in the country using multisource satellite data and a hydrologic modeling approach. With the assessment covering the 2 million square kilometer (km<sup>2</sup>) region influencing Bolivia’s drainage network, the potential hydropower figures are based on theoretical yield assuming that the systems generating the power are 100 percent efficient. There are several factors to consider when determining the real-world or technical power potential of a hydropower system, and these factors can vary depending on local conditions. Since this assessment covers a large area, it was necessary to reduce these variables to the two that can be modeled consistently throughout the region, streamflow or discharge, and elevation drop or head. First, the Shuttle Radar Topography Mission high-resolution 30-meter (m) digital elevation model was used to identify stream segments with greater than 10 km<sup>2</sup> of upstream drainage. We applied several preconditioning processes to the 30-m digital elevation model to reduce errors and improve the accuracy of stream delineation and head height estimation. A total of 316,500 1-km stream segments were identified and used in this study to assess the total theoretical hydropower potential of Bolivia. Precipitation observations from a total of 463 stations obtained from the Bolivian Servicio Nacional de Meteorología e Hidrología (Bolivian National Meteorology and Hydrology Service) and the Brazilian Agência Nacional de Águas (Brazilian National Water Agency) were used to validate six different gridded precipitation estimates for Bolivia obtained from various sources. Validation results indicated that gridded precipitation estimates from the Tropical Rainfall Measuring Mission (TRMM) reanalysis product (3B43) had the highest accuracies. The coarse-resolution (25-km) TRMM data were disaggregated to 5-km pixels using climatology information obtained from the Climate Hazards Group Infrared Precipitation with Stations dataset. About a 17-percent bias was observed in the disaggregated TRMM estimates, which was corrected using the station observations. The bias-corrected, disaggregated TRMM precipitation estimate was used to compute stream discharge using a regionalization approach. In regionalization approach, required homogeneous regions for Bolivia were derived from precipitation patterns and topographic characteristics using a <i>k</i>-means clustering approach. Using the discharge and head height estimates for each 1-km stream segment, we computed hydropower potential for 316,490 stream segments within Bolivia and that share borders with Bolivia. The total theoretical hydropower potential (TTHP) of these stream segments was found to be 212 gigawatts (GW). Out of this total, 77.4 GW was within protected areas where hydropower projects cannot be developed; hence, the remaining total theoretical hydropower in Bolivia (outside the protected areas) was estimated as 135&nbsp;GW. Nearly 1,000&nbsp;1-km stream segments, however, were within the boundaries of existing hydropower projects. The TTHP of these stream segments was nearly 1.4 GW, so the residual TTHP of the streams in Bolivia was estimated as 133&nbsp;GW. Care should be exercised to understand and interpret the TTHP identified in this study because all the stream segments identified and assessed in this study cannot be harnessed to their full capacity; furthermore, factors such as required environmental flows, efficiency, economics, and feasibility need to be considered to better identify a more real-world hydropower potential. If environmental flow requirements of 20–40 percent are considered, the total theoretical power available reduces by 60–80&nbsp;percent. In addition, a 0.72 efficiency factor further reduces the estimation by another 28 percent. This study provides the base theoretical hydropower potential for Bolivia, the next step is to identify optimal hydropower plant locations and factor in the principles to appraise a real-world power potential in Bolivia.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161156","collaboration":"Prepared in cooperation with the CAF – Development Bank of Latin America","usgsCitation":"Velpuri, N.M., Pervez, M.S., and Cushing, W.M., 2016, Hydropower assessment of Bolivia—A multisource satellite data and hydrologic modeling approach: U.S. Geological Survey Open-File Report 2016–1156, 65 p., https://dx.doi.org/10.3133/ofr20161156.","productDescription":"Report: x, 65 p.; Appendixes: 2-4","numberOfPages":"79","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-075626","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":331175,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1156/ofr20161156.pdf","text":"Report","size":"23.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1156"},{"id":331174,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1156/coverthb.jpg"},{"id":331176,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1156/downloads","text":"Appendixes 2–4","description":"OFR 2016–1156 Appendixes 2–4"}],"country":"Bolivia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-62.84647,-22.03499],[-63.98684,-21.99364],[-64.37702,-22.79809],[-64.96489,-22.07586],[-66.27334,-21.83231],[-67.10667,-22.73592],[-67.82818,-22.87292],[-68.21991,-21.49435],[-68.75717,-20.37266],[-68.44223,-19.40507],[-68.96682,-18.98168],[-69.10025,-18.26013],[-69.59042,-17.58001],[-68.95964,-16.5007],[-69.38976,-15.66013],[-69.16035,-15.32397],[-69.33953,-14.9532],[-68.94889,-14.45364],[-68.92922,-13.60268],[-68.88008,-12.89973],[-68.66508,-12.5613],[-69.52968,-10.95173],[-68.78616,-11.03638],[-68.27125,-11.01452],[-68.04819,-10.71206],[-67.1738,-10.30681],[-66.64691,-9.93133],[-65.33844,-9.76199],[-65.44484,-10.51145],[-65.3219,-10.89587],[-65.40228,-11.56627],[-64.31635,-12.46198],[-63.1965,-12.62703],[-62.80306,-13.00065],[-62.12708,-13.19878],[-61.7132,-13.4892],[-61.08412,-13.47938],[-60.5033,-13.77595],[-60.4592,-14.35401],[-60.26433,-14.64598],[-60.25115,-15.07722],[-60.54297,-15.09391],[-60.15839,-16.25828],[-58.24122,-16.29957],[-58.38806,-16.87711],[-58.2808,-17.27171],[-57.73456,-17.55247],[-57.49837,-18.17419],[-57.67601,-18.96184],[-57.95,-19.4],[-57.8538,-19.97],[-58.16639,-20.1767],[-58.18347,-19.8684],[-59.11504,-19.35691],[-60.04356,-19.34275],[-61.78633,-19.63374],[-62.26596,-20.51373],[-62.29118,-21.05163],[-62.68506,-22.24903],[-62.84647,-22.03499]]]},\"properties\":{\"name\":\"Bolivia\"}}]}","contact":"<p>Director, Earth Resources Observation and Science (EROS) Center<br>U.S. Geological Survey<br>47914 252nd Street <br>Sioux Falls, SD 57198<br></p><p><a href=\"http://eros.usgs.gov/\" data-mce-href=\"http://eros.usgs.gov/\">http://eros.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Data<br></li><li>Hydrological Conditioning<br></li><li>Generation of Best Rainfall Dataset for Bolivia<br></li><li>Basin Regionalization<br></li><li>Estimation of Mean Annual Streamflow<br></li><li>Theoretical Hydropower Potential Assessment<br></li><li>Uncertainty in Theoretical Potential Hydropower Estimates<br></li><li>Summary and Conclusions<br></li><li>References Cited<br></li><li>Appendixes 1–5</li></ul><p><br data-mce-bogus=\"1\"></p>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-11-28","noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"583d5032e4b0d9329c80c599","contributors":{"authors":[{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":648595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pervez, Shahriar 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":174568,"corporation":false,"usgs":true,"family":"Pervez","given":"Shahriar","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":648596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cushing, W. Matthew 0000-0001-5209-6006 mcushing@usgs.gov","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":2980,"corporation":false,"usgs":true,"family":"Cushing","given":"W.","email":"mcushing@usgs.gov","middleInitial":"Matthew","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":648594,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178003,"text":"ofr20161178 - 2016 - Facilitating the inclusion of nonmarket values in Bureau of Land Management planning and  project assessments—Final report","interactions":[],"lastModifiedDate":"2016-11-23T11:24:07","indexId":"ofr20161178","displayToPublicDate":"2016-11-23T11:40:00","publicationYear":"2016","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":"2016-1178","title":"Facilitating the inclusion of nonmarket values in Bureau of Land Management planning and  project assessments—Final report","docAbstract":"<h1>Executive Summary</h1><p>This report summarizes the results of a series of field-based case studies conducted by the U.S. Geological Survey (USGS) to (1) evaluate the use of nonmarket values in Bureau of Land Management (BLM) planning and project assessments, (2) update existing technical resources for measuring those values, and (3) provide guidance to field staff on the use of nonmarket values. Four BLM pilot sites participated in this effort: Canyons of the Ancients National Monument in Colorado, Red Cliffs and Beaver Dam Wash National Conservation Areas in Utah, BLM’s Taos Field Office in New Mexico, and BLM's Tuscarora Field Office in Nevada. The focus of the case studies was on practical applications of nonmarket valuation. USGS worked directly with BLM field staff at the pilot sites to demonstrate the process of considering nonmarket values in BLM decisionmaking and document the questions, challenges, and opportunities that arise when tying economic language to projects.</p><p>As part of this effort, a Web-based toolkit, available at <a href=\"https://my.usgs.gov/benefit-transfer/\" data-mce-href=\"https://my.usgs.gov/benefit-transfer/\">https://my.usgs.gov/benefit-transfer/</a>, was updated and expanded to help facilitate benefit transfers (that is, the use of existing economic data to quantify nonmarket values) and qualitative discussions of nonmarket values. A total of 53 new or overlooked nonmarket valuation studies comprising 494 nonmarket value estimates for various recreational activities and the preservation of threatened, endangered, and rare species were added to existing databases within this Benefit Transfer Toolkit. In addition, four meta-regression functions focused on hunting, wildlife viewing, fishing, and trail use recreation were developed and added to the Benefit Transfer Toolkit.</p><p>Results of this effort demonstrate that there are two main roles for nonmarket valuation in BLM planning. The first is to improve the decisionmaking process by contributing to a more comprehensive comparison of economic benefits and cost when evaluating resource tradeoffs for National Environmental Policy Act analyses. The second is to use economic language and information on economic values, either qualitative or quantitative, to improve the ability to communicate the economic significance of the resources provided by BLM-managed lands.&nbsp;</p><p>Findings also indicate that the use of existing economic data to quantify nonmarket values (that is, benefit transfer) poses unique challenges because of the scarcity of both resource data and existing valuation studies focused on resources and sites managed by BLM. This highlights the need for improvements in the collection of resource data at BLM sites, especially visitor use data, as well as an opportunity for BLM’s Socioeconomics Program to strategically identify priority areas, in terms of both resources and geographic locations, where primary valuation studies could be conducted and the results used for future benefit transfers. Finally, whereas qualitative discussions of nonmarket values do not facilitate the comparison of monetized values, they can provide a manageable next step forward in providing more comprehensive information on nonmarket values for BLM plans and project assessments.</p><p>&nbsp;<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161178","collaboration":"Prepared in cooperation with the Bureau of Land Management’s Socioeconomics Program  and National Operations Center","usgsCitation":"Huber, Chris, and Richardson, Leslie, 2016, Facilitating the inclusion of nonmarket values in Bureau of Land Management planning and project assessments—Final report: U.S. Geological Survey Open-File Report 2016-1178, 79 p., https://dx.doi.org/10.3133/ofr20161178. ","productDescription":"iv, 79 p.","numberOfPages":"87","onlineOnly":"Y","ipdsId":"IP-070964","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":331037,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1178/ofr20161178.pdf","text":"Report","size":"4.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1178"},{"id":331036,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1178/coverthb.jpg"}],"contact":"<p>Center Director, USGS Fort Collins Science Center&nbsp;<br>2150 Centre Ave., Bldg. C<br>Box 25046, MS-939<br>Fort Collins, CO 80526-8118</p><p><a href=\"http://www.fort.usgs.gov/\" data-mce-href=\"http://www.fort.usgs.gov/\">http://www.fort.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Objective</li><li>Methods</li><li>Limitations of the Four Pilot Site Projects</li><li>Lessons Learned and Future Research</li><li>A Unique Example of a Primary Study Conducted for BLM</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1. Correspondence Used in Pilot Site Selection—Example From the Red Cliffs and Beaver Dam Wash National Conservation Areas</li><li>Appendix 2. Review of Nonmarket Valuation Studies Focused on Cultural, Archaeological, and Historic Sites</li><li>Appendix 3. Nonmarket Values Associated With Each Pilot Site</li><li>Appendix 4. Example of Presentation Used for the Web-Based Presentation and Meeting</li><li>Appendix 5. Example of Presentation Used for the In-Person Meeting</li><li>Appendix 6. Nonmarket Valuation Reference</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-11-23","noUsgsAuthors":false,"publicationDate":"2016-11-23","publicationStatus":"PW","scienceBaseUri":"5836b8d7e4b0d9329c801c45","contributors":{"authors":[{"text":"Huber, Chris","contributorId":26925,"corporation":false,"usgs":true,"family":"Huber","given":"Chris","email":"","affiliations":[],"preferred":false,"id":653879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, Leslie","contributorId":44847,"corporation":false,"usgs":true,"family":"Richardson","given":"Leslie","affiliations":[],"preferred":false,"id":653880,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178286,"text":"ofr20161148 - 2016 - A methodology for quantifying trace elements in the exoskeletons of Florida stone crab (<i>Menippe mercenaria</i>) larvae using inductively coupled plasma optical emission spectrometry (ICP–OES) ","interactions":[],"lastModifiedDate":"2016-11-23T11:21:32","indexId":"ofr20161148","displayToPublicDate":"2016-11-23T10:00:00","publicationYear":"2016","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":"2016-1148","title":"A methodology for quantifying trace elements in the exoskeletons of Florida stone crab (<i>Menippe mercenaria</i>) larvae using inductively coupled plasma optical emission spectrometry (ICP–OES) ","docAbstract":"<p>The larvae of the Florida stone crab, <i>Menippe mercenaria</i>, migrate through a variety of habitats as they develop and, therefore, experience a broad range of environmental conditions through ontogeny. Environmental variability experienced by the larvae may result in distinct elemental signatures within the exoskeletons, which could provide a tool for tracking the environmental history of larval stone crab populations. A method was developed to examine trace-element ratios, specifically magnesium-to-calcium (Mg/Ca) and strontium-to-calcium (Sr/Ca) ratios, in the exoskeletons of <i>M. mercenaria</i> larvae. Two developmental stages of stone crab larvae were analyzed—stage III and stage V. Specimens were reared in a laboratory environment under stable conditions to quantify the average ratios of Mg/Ca and Sr/Ca of larval stone crab exoskeletons and to determine if the ratios differed through ontogeny. The elemental compositions (Ca, Mg, and Sr) in samples of stage III larvae (n = 50 per sample) from 11 different broods (mean Sr/Ca = 5.916 ± 0.161 millimole per mole [mmol mol<sup>−1</sup>]; mean Mg/Ca = 218.275 ± 59.957 mmol mol<sup>−1</sup>) and stage V larvae (n = 10 per sample) from 12 different broods (mean Sr/Ca = 6.110 ± 0.300 mmol mol<sup>−1</sup>; mean Mg/Ca = 267.081 ± 67.211 mmol mol<sup>–1</sup>) were measured using inductively coupled plasma optical emission spectrometry (ICP–OES). The ratio of Sr/Ca significantly increased from stage III to stage V larvae, suggesting an ontogenic shift in Sr/Ca ratios between larval stages. The ratio of Mg/Ca did not change significantly between larval stages, but variability among broods was high. The method used to examine the trace-element ratios provided robust, highly reproducible estimates of Sr/Ca and Mg/Ca ratios in the larvae of <i>M. mercenaria</i>, demonstrating that ICP–OES can be used to determine the trace-element composition of chitinous organisms like the Florida stone crab.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161148","usgsCitation":"Gravinese, P.M., Flannery, J.A., and Toth, L.T., 2016, A methodology for quantifying trace elements in the exoskeletons of the Florida stone crab (<i>Menippe mercenaria</i>) larvae using inductively coupled plasma optical emission spectrometry (ICP–OES): U.S. Geological Survey Open-File Report 2016–1148, 12 p., https://doi.org/10.3133/ofr20161148.","productDescription":"vi, 12 p.","numberOfPages":"19","onlineOnly":"Y","ipdsId":"IP-074067","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":331181,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1148/coverthb.jpg"},{"id":331182,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1148/ofr20161148.pdf","text":"Report","size":"2.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1148"}],"contact":"<p>Director, St. Petersburg Coastal and Marine Science Center<br> U.S. Geological Survey<br> 600 4th Street South<br> St. Petersburg, FL 33701<br> <a href=\"http://coastal.er.usgs.gov/\" data-mce-href=\"http://coastal.er.usgs.gov/\">http://coastal.er.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods Used</li><li>Results and Discussion</li><li>Conclusions&nbsp;</li><li>References Cited</li><li>Appendix</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-11-23","noUsgsAuthors":false,"publicationDate":"2016-11-23","publicationStatus":"PW","scienceBaseUri":"5836b8d8e4b0d9329c801c47","contributors":{"authors":[{"text":"Gravinese, Philip M.","contributorId":176801,"corporation":false,"usgs":false,"family":"Gravinese","given":"Philip","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":653519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flannery, Jennifer A. 0000-0002-1692-2662 jflannery@usgs.gov","orcid":"https://orcid.org/0000-0002-1692-2662","contributorId":4317,"corporation":false,"usgs":true,"family":"Flannery","given":"Jennifer","email":"jflannery@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":653518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. ltoth@usgs.gov","contributorId":173200,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":653520,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178029,"text":"ofr20161183 - 2016 - Insect community responses to climate and weather across elevation gradients in the Sagebrush Steppe, eastern Oregon","interactions":[],"lastModifiedDate":"2017-11-22T15:47:44","indexId":"ofr20161183","displayToPublicDate":"2016-11-17T00:00:00","publicationYear":"2016","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":"2016-1183","title":"Insect community responses to climate and weather across elevation gradients in the Sagebrush Steppe, eastern Oregon","docAbstract":"<h1>Executive Summary</h1><p class=\"p1\">In this study, the U.S. Geological Survey investigated the use of insects as bioindicators of climate change in sagebrush steppe shrublands and grasslands in the Upper Columbia Basin. The research was conducted in the Stinkingwater and Pueblo mountain ranges in eastern Oregon on lands administered by the Bureau of Land Management.</p><p class=\"p1\">We used a “space-for-time” sampling design that related insect communities to climate and weather along elevation gradients. We analyzed our insect dataset at three levels of organization: (1) whole-community, (2) feeding guilds (detritivores, herbivores, nectarivores, parasites, and predators), and (3) orders within nectarivores (i.e., pollinators). We captured 59,517 insects from 176 families and 10 orders at the Pueblo Mountains study area and 112,305 insects from 185 families and 11 orders at the Stinkingwater Mountains study area in 2012 and 2013. Of all the individuals captured at the Stinkingwater Mountains study area, 77,688 were from the family Cecidomyiidae (Diptera, gall gnats).</p><p class=\"p1\">We found that the composition of insect communities was associated with variability in long-term (30-yr) temperature and interannual fluctuations in temperature. We found that captures of certain fly, bee, moth, and butterfly pollinators were more strongly associated with some climate and vegetation variables than others. We found that timing of emergence, as measured by first detection of families, was associated with elevation. When analyzed by feeding guilds, we found that all guilds emerged later at high elevations except for detritivores, which emerged earlier at high elevations. The abundance of most taxa varied through time, mostly in response to temperature and precipitation. Of the pollinators, bees (particularly, Halictidae and Megachilidae) peaked in abundance in late June and early July, whereas butterflies and moths peaked in August. Flies peaked in abundance in July.</p><p class=\"p1\">Overall, our interpretation of these patterns is that insect communities respond positively and negatively to weather and local vegetation more than to long-term climate. Given increasing variability in weather and high probability of extreme weather events, insect communities in sagebrush steppe also may experience considerable fluctuations in composition and abundance, as well as phenology. These findings have implications for many ecosystem services, including pollination, decomposition, and food resources for predatory birds and other vertebrates.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161183","collaboration":"Prepared in cooperation with the Bureau of Land Management under Interagency Agreement L10PG00804 for the project: “Forecasting Insect Community Responses to Changes in Land Management and Climate in Upper Columbia Basin Sagebrush Steppe”","usgsCitation":"Pilliod, D.S., and Rohde, A.T., 2016, Insect community responses to climate and weather across elevation gradients in the Sagebrush Steppe, eastern Oregon: U.S. Geological Open-File Report 2016–1083, 50 p., https://doi.org/10.3133/ofr20161183.","productDescription":"vi, 50 p.","numberOfPages":"61","onlineOnly":"Y","ipdsId":"IP-074398","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":331101,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1183/ofr20161183.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1183"},{"id":331100,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1183/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Sagebrush Steppe","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.33624267578124,\n              43.51668853502906\n            ],\n            [\n              -119.33624267578124,\n              42.70262285884388\n            ],\n            [\n              -118.5809326171875,\n              42.71069600569497\n            ],\n            [\n              -118.13598632812499,\n              42.71473218539458\n            ],\n            [\n              -118.2073974609375,\n              43.69965122967144\n            ],\n            [\n              -118.4600830078125,\n              43.72744458647464\n            ],\n            [\n              -119.33624267578124,\n              43.51668853502906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Forest and Rangeland Ecosystem Science Center<br> U.S. Geological Survey<br> 777 NW 9th St., Suite 400<br> Corvallis, Oregon 97330<br> <span class=\"s1\"><a href=\"http://fresc.usgs.gov/\" target=\"blank\" data-mce-href=\"http://fresc.usgs.gov/\">http://fresc.usgs.gov/</a></span></p>","tableOfContents":"<ul><li>Executive Summary<br></li><li>Introduction<br></li><li>Methods<br></li><li>Study Design and Sampling Methods<br></li><li>Section I. Assessment of Sampling Design<br></li><li>Section II. Insect Community Composition<br></li><li>Section III. Insect Phenology<br></li><li>Management Implications and Future Directions<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-11-17","noUsgsAuthors":false,"publicationDate":"2016-11-17","publicationStatus":"PW","scienceBaseUri":"582ecfeee4b04d580bd4352e","contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":147050,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":652547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohde, Ashley T.","contributorId":176935,"corporation":false,"usgs":true,"family":"Rohde","given":"Ashley","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":652548,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178142,"text":"ofr20161191 - 2016 - GIS-based identification of areas that have resource potential for critical minerals in six selected groups of deposit types in Alaska","interactions":[],"lastModifiedDate":"2023-10-11T01:22:47.377543","indexId":"ofr20161191","displayToPublicDate":"2016-11-16T17:00:00","publicationYear":"2016","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":"2016-1191","title":"GIS-based identification of areas that have resource potential for critical minerals in six selected groups of deposit types in Alaska","docAbstract":"<p>Alaska has considerable potential for undiscovered mineral resources. This report evaluates potential for undiscovered critical minerals in Alaska. Critical minerals are those for which the United States imports more than half of its total supply and which are largely derived from nations that cannot be considered reliable trading partners. In this report, estimated resource <i>potential</i> and <i>certainty</i> for the state of Alaska are analyzed and mapped for the following six selected mineral deposit groups that may contain one or more critical minerals: (1) rare earth elements-thorium-yttrium-niobium(-uranium-zirconium) [REE-Th-Y-Nb(-U-Zr)] deposits associated with peralkaline to carbonatitic igneous intrusive rocks; (2) placer and paleoplacer gold (Au) deposits that in some places might also produce platinum group elements (PGE), chromium (Cr), tin (Sn), tungsten (W), silver (Ag), or titanium (Ti); (3) platinum group elements(-cobalt-chromium-nickel-titanium-vanadium) [PGE(-Co-Cr-Ni-Ti-V)] deposits associated with mafic to ultramafic intrusive rocks; (4) carbonate-hosted copper(-cobalt-silver-germanium-gallium) [Cu(-Co-Ag-Ge-Ga)] deposits; (5) sandstone-hosted uranium(-vanadium-copper) [U(-V-Cu)] deposits; and (6) tin-tungsten-molybdenum(-tantalum-indium-fluorspar) [Sn-W-Mo(-Ta-In-fluorspar)] deposits associated with specialized granites.</p><p>This study used a data-driven, geographic information system (GIS)-implemented method to identify areas that have mineral resource potential in Alaska. This method systematically and simultaneously analyzes geoscience data from multiple geospatially referenced datasets and uses individual subwatersheds (12-digit hydrologic units) as the spatial unit of classification. The final map output uses a red, yellow, green, and gray color scheme to portray estimated relative <i>potential</i> (High, Medium, Low, Unknown) for each of the six groups of mineral deposit types, and it indicates the relative <i>certainty</i> (High, Medium, Low) of that estimate for each 12-digit hydrologic unit through color shading. Accompanying tables describe the data layers employed to score favorability for the presence of each mineral deposit group, the values assigned for specific analysis parameters, and the relative weighting of each data layer that contributes to estimated measures of <i>potential</i> and <i>certainty</i>. Core datasets used include the Alaska Geochemical Database, Version 2.0 (AGDB2); the Alaska Division of Geological &amp; Geophysical Surveys (ADGGS) web-based geochemical database; the digital “Geologic Map of Alaska;” the Alaska Resource Data File (ARDF); and aerial gamma-ray surveys flown as part of the National Uranium Resource Evaluation (NURE) Program by the U.S. Department of Energy.</p><p>Maps accompanying this report illustrate the scores for estimated mineral resource potential for the six deposit groups for the state of Alaska. Areas that have known potential, as well as new areas that were not previously known to have potential, for the targeted minerals and deposit groups are identified and described. Numerous areas in Alaska, some of them large, have high potential for one or more of the selected groups of deposit types within Alaska.</p><h4><span>Contributors</span></h4><p>Matthew Granitto, Timothy S. Hayes, James V. Jones, III, Susan M. Karl, Keith A. Labay, Jeffrey L. Mauk, Jeanine M. Schmidt, Nora B. Shew, Erin Todd, Bronwen Wang, Melanie B. Werdon, and Douglas B. Yager</p><h4><span></span></h4>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161191","collaboration":"Prepared in cooperation with the Alaska Division of Geological & Geophysical Surveys","usgsCitation":"Karl, S.M., Jones, J.V., III, and Hayes, T.S., eds., 2016, GIS-based identification of areas that have resource potential for critical minerals in six selected groups of deposit types in Alaska: U.S. Geological Survey Open-File Report 2016–1191, 99 p., 5 appendixes, 12 plates, scale 1:10,500,000, https://dx.doi.org/10.3133/ofr20161191.","productDescription":"Report: viii, 99 p.; 12 Plates: 12 p.; 8 Appendixes; Metadata","numberOfPages":"107","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-069476","costCenters":[{"id":119,"text":"Alaska Science Center Geology 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 \"}}]}","contact":"<p><a title=\"Alaska Science Center Staff\" href=\"http://alaska.usgs.gov/staff/\" target=\"_blank\" data-mce-href=\"http://alaska.usgs.gov/staff/\">Alaska Science Center staff </a><br>U.S. Geological Survey<br>4210 University Dr.<br>Anchorage, AK 99508<br><a title=\"Alaska Mineral Resources\" href=\"http://minerals.usgs.gov/alaska/\" target=\"_blank\" data-mce-href=\"http://minerals.usgs.gov/alaska/\">Alaska Mineral Resources</a><br><a title=\"Alaska Science Center\" href=\"http://alaska.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://alaska.usgs.gov/\">Alaska Science Center</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Chapter 1. REE-Th-Y-Nb(-U-Zr) Deposits Associated with Peralkaline to Carbonatitic Intrusive Rocks<br></li><li>Chapter 2. Placer and Paleoplacer Gold (Au) Deposits<br></li><li>Chapter 3. PGE(-Co-Cr-Cu-Ni-Ti-V) Deposits Associated with Mafic to Ultramafic Intrusive Rocks<br></li><li>Chapter 4. Carbonate-Hosted Cu(-Co-Ag-Ge-Ga) Deposits<br></li><li>Chapter 5. Sandstone-Hosted U(-V-Cu) Deposits<br></li><li>Chapter 6. Sn-W-Mo(-Ta-In-Fluorspar) Deposits Associated with Specialized Granites<br></li><li>Summary<br></li><li>Data Resources<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-11-16","noUsgsAuthors":false,"publicationDate":"2016-11-16","publicationStatus":"PW","scienceBaseUri":"582dd8e7e4b04d580bd3fa7f","contributors":{"editors":[{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":653811,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":653812,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hayes, Timothy S. thayes@usgs.gov","contributorId":1547,"corporation":false,"usgs":true,"family":"Hayes","given":"Timothy","email":"thayes@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":653813,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":70175480,"text":"ofr20161122 - 2016 - Groundwater quality from private domestic water-supply wells in the vicinity of petroleum production in Southwestern Indiana","interactions":[],"lastModifiedDate":"2016-11-23T13:09:40","indexId":"ofr20161122","displayToPublicDate":"2016-11-16T00:00:00","publicationYear":"2016","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":"2016-1122","title":"Groundwater quality from private domestic water-supply wells in the vicinity of petroleum production in Southwestern Indiana","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20161122","collaboration":"Agency for Toxic Substances and Disease Registry","usgsCitation":"Risch, M.R., and Silcox, C.A., 2016, Groundwater quality from private domestic water-supply wells in the vicinity of petroleum production in Southwestern Indiana: U.S. Geological Survey Open-File Report 2016-1122, 29 p., https://doi.org/10.3133/ofr20161122.","productDescription":"29 p.","startPage":"1","endPage":"29","numberOfPages":"29","ipdsId":"IP-077952","costCenters":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":331221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5836b8dfe4b0d9329c801c5f","contributors":{"authors":[{"text":"Risch, Martin R. 0000-0002-7908-7887 mrrisch@usgs.gov","orcid":"https://orcid.org/0000-0002-7908-7887","contributorId":2118,"corporation":false,"usgs":true,"family":"Risch","given":"Martin","email":"mrrisch@usgs.gov","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":645401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silcox, Cheryl A. casilcox@usgs.gov","contributorId":5080,"corporation":false,"usgs":true,"family":"Silcox","given":"Cheryl","email":"casilcox@usgs.gov","middleInitial":"A.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":645402,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176543,"text":"ofr20161167 - 2016 - Potash—A vital agricultural nutrient sourced from geologic deposits","interactions":[],"lastModifiedDate":"2017-01-10T10:36:20","indexId":"ofr20161167","displayToPublicDate":"2016-11-15T11:45:00","publicationYear":"2016","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":"2016-1167","title":"Potash—A vital agricultural nutrient sourced from geologic deposits","docAbstract":"<p>This report summarizes the primary sources of potash in the United States. Potash is an essential nutrient that, along with phosphorus and nitrogen, is used as fertilizer for growing crops. Plants require sufficient potash to activate enzymes, which in turn catalyze chemical reactions important for water uptake and photosynthesis. When potassium is available in quantities necessary for healthy plant growth, disease resistance and physical quality are improved and crop yield and shelf life are increased. Potash is a water-soluble compound of potassium formed by geologic and hydrologic processes. The principal potash sources discussed are the large, stratiform deposits that formed during retreat and evaporation of intracontinental seas. The Paradox, Delaware, Holbrook, Michigan, and Williston sedimentary basins in the United States are examples where extensive potash beds were deposited. Ancient marine-type potash deposits that are close to the surface can be mined using conventional underground mining methods. In situ solution mining can be used where beds are too deep, making underground mining cost-prohibitive, or where underground mines are converted to in situ solution mines. Quaternary brine is another source of potash that is recovered by solar evaporation in manmade ponds. Groundwater from Pleistocene Lake Bonneville (Wendover, Utah) and the present-day Great Salt Lake in Utah are sources of potashbearing brine. Brine from these sources pumped to solar ponds is evaporated and potash concentrated for harvesting, processing, and refinement. Although there is sufficient potash to meet near-term demand, the large marine-type deposits are either geographically restricted to a few areas or are too deep to easily mine. Other regions lack sources of potash brine from groundwater or surface water. Thus, some areas of the world rely heavily on potash imports. Political, economic, and global population pressures may limit the ability of some countries from securing potash resources in the future. In this context, a historical perspective on U.S. potash production in a global framework is discussed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161167","isbn":"978-1-4113-4101-2","usgsCitation":"Yager, D.B., 2016, Potash—A vital agricultural nutrient sourced from geologic deposits: U.S. Geological Survey Open-File Report 2016-1167, 28 p., https://dx.doi.org/10.3133/ofr20161167.","productDescription":"v, 28 p.","numberOfPages":"38","onlineOnly":"N","ipdsId":"IP-067057","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":330757,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1167/coverthb.jpg"},{"id":330758,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1167/ofr20161167.pdf","text":"Report","size":"4.57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1176"}],"contact":"<p>Center Director<br>USGS Central Mineral and Environmental Resources Science Center<br>U.S. Geological Survey<br>Box 25046, MS 973<br>Denver, CO 80225</p><p><a href=\"http://minerals.cr.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://minerals.cr.usgs.gov/\">http://minerals.cr.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Introduction</li><li>Geologic Setting and Geographic Distribution of Potash</li><li>Mining Methods for Potash</li><li>Past and Current Potash Production</li><li>Import-Export Supply Chain—Current and Projected Use</li><li>Summary</li><li>References</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-11-15","noUsgsAuthors":false,"publicationDate":"2016-11-15","publicationStatus":"PW","scienceBaseUri":"582c2ce0e4b0c253be072bee","contributors":{"authors":[{"text":"Yager, Douglas B. 0000-0001-5074-4022 dyager@usgs.gov","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":798,"corporation":false,"usgs":true,"family":"Yager","given":"Douglas","email":"dyager@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":649163,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70178093,"text":"ofr20161187 - 2016 - Community exposure to potential climate-driven changes to coastal-inundation hazards for six communities in Essex County, Massachusetts","interactions":[],"lastModifiedDate":"2018-03-08T16:08:01","indexId":"ofr20161187","displayToPublicDate":"2016-11-09T00:00:00","publicationYear":"2016","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":"2016-1187","title":"Community exposure to potential climate-driven changes to coastal-inundation hazards for six communities in Essex County, Massachusetts","docAbstract":"<h1>Introduction</h1><p>Understanding if and how community exposure to coastal hazards may change over time is crucial information for coastal managers tasked with developing climate adaptation plans. This report summarizes estimates of population and asset exposure to coastal-inundation hazards associated with sea-level-rise and storm scenarios in six coastal communities of the Great Marsh region of Essex County, Massachusetts. This U.S. Geological Survey (USGS) analysis was conducted in collaboration with National Wildlife Federation (NWF) representatives, who are working with local stakeholders to develop local climate adaptation plans for the Towns of Salisbury, Newbury, Rowley, Ipswich, and Essex and the City of Newburyport (hereafter referred to as communities). Community exposure was characterized by integrating various community indicators (land cover and land use, population, economic assets, critical facilities, and infrastructure) with coastal-hazard zones that estimate inundation extents and water depth for three time periods.</p><p>Estimates of community exposure are based on the presence of people, businesses, and assets in hazard zones that are calculated from geospatial datasets using geographic-information-system (GIS) tools. Results are based on current distributions of people and assets in hazard zones and do not take into account projections of human population, asset, or land-use changes over time. Results are not loss estimates based on engineering analysis or field surveys for any particular facility and do not take into account aspects of individual and household preparedness before an extreme event, adaptive capacity of a community during an event, or long-term resilience of individuals and communities after an event. Potential losses would match reported inventories only if all residents, business owners, public managers, and elected officials were unaware of what to do if warned of an imminent threat, failed to take protective measures during an extreme event, or failed to implement any long-term strategies to mitigate potential impacts. This analysis is intended to serve as a foundation for additional risk-related studies, plans, and mitigation efforts that are tailored to local needs. After a summary of the geospatial methods used in the analysis, results are organized by community so that local officials can easily use them in their local adaptation planning efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161187","usgsCitation":"Abdollahian, Nina, Jones, J.L., and Wood, N.J., 2016, Community exposure to potential climate-driven changes to coastal-inundation hazards for six communities in Essex County, Massachusetts: U.S. Geological Survey Open-File Report 2016–1187, 87 p., https://dx.doi.org/10.3133/ofr20161187.","productDescription":"ix, 97 p.","onlineOnly":"Y","ipdsId":"IP-076664","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":330895,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1187/ofr20161187.pdf","text":"Report","size":"37 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1187"},{"id":330894,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1187/coverthb.jpg"}],"country":"United States","state":"Massachusetts","county":"Essex County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.71006774902344,\n              42.68193062780271\n            ],\n            [\n              -70.68603515625,\n              42.661736441708726\n            ],\n            [\n              -70.67985534667969,\n              42.645576368740564\n            ],\n            [\n              -70.68946838378906,\n              42.61374895431491\n            ],\n            [\n              -70.67779541015624,\n              42.58594981115061\n            ],\n            [\n              -70.70938110351562,\n              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data-mce-href=\"http://geography.wr.usgs.gov/\">http://geography.wr.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Introduction<br></li><li>Methods<br></li><li>Salisbury<br></li><li>Newburyport<br></li><li>Newbury<br></li><li>Rowley<br></li><li>Ipswich<br></li><li>Essex<br></li><li>References Cited<br></li><li>Appendix 1. Inundation Probability Maps<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-11-09","noUsgsAuthors":false,"publicationDate":"2016-11-09","publicationStatus":"PW","scienceBaseUri":"582443f1e4b09065cdf30509","contributors":{"authors":[{"text":"Abdollahian, Nina 0000-0002-8607-2202 nabdollahian@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-2202","contributorId":92149,"corporation":false,"usgs":true,"family":"Abdollahian","given":"Nina","email":"nabdollahian@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":652723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ratliff, Jamie L. 0000-0002-9967-3314 jratliff@usgs.gov","orcid":"https://orcid.org/0000-0002-9967-3314","contributorId":665,"corporation":false,"usgs":true,"family":"Ratliff","given":"Jamie","email":"jratliff@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":652724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":652725,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178096,"text":"ofr20161186 - 2016 - Summary of environmental flow monitoring for the Sustainable Rivers Project on the Middle Fork Willamette and McKenzie Rivers, western Oregon, 2014–15","interactions":[],"lastModifiedDate":"2016-11-08T10:34:43","indexId":"ofr20161186","displayToPublicDate":"2016-11-07T00:00:00","publicationYear":"2016","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":"2016-1186","title":"Summary of environmental flow monitoring for the Sustainable Rivers Project on the Middle Fork Willamette and McKenzie Rivers, western Oregon, 2014–15","docAbstract":"<p>This report presents the results of an ongoing environmental flow monitoring study by The Nature Conservancy (TNC), U.S. Army Corps of Engineers (USACE), and U.S. Geological Survey in support of the Sustainable Rivers Project (SRP) of TNC and USACE. The overarching goal of this study is to evaluate and characterize relations between streamflow, geomorphic processes, and black cottonwood (<i>Populus trichocarpa</i>) recruitment on the Middle Fork Willamette and McKenzie Rivers, western Oregon, that were hypothesized in earlier investigations. The SRP can use this information to plan future monitoring and scientific investigations, and to help mitigate the effects of dam operations on streamflow regimes, geomorphic processes, and biological communities, such as black cottonwood forests, in consultation with regional experts. The four tasks of this study were to:</p><ol><li>Compare the hydrograph from Water Year (WY) 2015 with hydrographs from WYs 2000–14 and the SRP flow recommendations,</li><li>Assess short-term and system-wide changes in channel features and vegetation throughout the alluvial valley section of the Middle Fork Willamette River (2005–12),</li><li>Examine changes in channel features and vegetation over two decades (1994–2014) for two short mapping zones on the Middle Fork Willamette and McKenzie Rivers, and</li><li>Complete a field investigation of summer stage and the growth of black cottonwood and other vegetation on the Middle Fork Willamette and McKenzie Rivers in summer 2015.</li></ol>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161186","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and The Nature Conservancy","usgsCitation":"Jones, K.L., Mangano, J.F., Wallick, J.R., Bervid, H.D., Olson, Melissa, Keith, M.K., and Bach, Leslie, 2016, Summary of environmental flow monitoring for the Sustainable Rivers Project on the Middle Fork Willamette and McKenzie Rivers, western Oregon, 2014–15: U.S. Geological Survey Open-File Report 2016-1186, 91 p., https://dx.doi.org/10.3133/ofr20161186.","productDescription":"viii, 92 p.","numberOfPages":"104","onlineOnly":"Y","ipdsId":"IP-071525","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":330856,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1186/coverthb.jpg"},{"id":330857,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1186/ofr20161186.pdf","text":"Report","size":"9.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1186"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.7,\n              43.45291889355465\n            ],\n            [\n              -123.7,\n              45.8\n            ],\n            [\n              -121.5582275390625,\n              45.8\n            ],\n            [\n              -121.5582275390625,\n              43.45291889355465\n            ],\n            [\n              -123.7,\n              43.45291889355465\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, Oregon Water Science Center<br> U.S. Geological Survey<br> 2130 SW 5th Avenue<br> Portland, Oregon 97201<br> <a href=\"http://or.water.usgs.gov\" data-mce-href=\"http://or.water.usgs.gov\">http://or.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Significant Findings</li><li>Introduction</li><li>Study Overview</li><li>Analysis Tasks</li><li>Synthesis of Findings</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix A. Environmental Flow Monitoring Considerations for the Sustainable Rivers Project in the Willamette River Basin</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-11-07","noUsgsAuthors":false,"publicationDate":"2016-11-07","publicationStatus":"PW","scienceBaseUri":"5821a0dce4b02f1a881de971","contributors":{"authors":[{"text":"Jones, Krista L. 0000-0002-0301-4497 kljones@usgs.gov","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":4550,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","email":"kljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangano, Joseph F. 0000-0003-4213-8406 jmangano@usgs.gov","orcid":"https://orcid.org/0000-0003-4213-8406","contributorId":4722,"corporation":false,"usgs":true,"family":"Mangano","given":"Joseph","email":"jmangano@usgs.gov","middleInitial":"F.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. 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,{"id":70176359,"text":"ofr20161152 - 2016 - Bedrock morphology and structure, upper Santa Cruz Basin, south-central Arizona, with transient electromagnetic survey data","interactions":[],"lastModifiedDate":"2016-11-01T11:23:24","indexId":"ofr20161152","displayToPublicDate":"2016-10-31T16:30:00","publicationYear":"2016","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":"2016-1152","title":"Bedrock morphology and structure, upper Santa Cruz Basin, south-central Arizona, with transient electromagnetic survey data","docAbstract":"<p>The upper Santa Cruz Basin is an important groundwater basin containing the regional aquifer for the city of Nogales, Arizona. This report provides data and interpretations of data aimed at better understanding the bedrock morphology and structure of the upper Santa Cruz Basin study area which encompasses the Rio Rico and Nogales 1:24,000-scale U.S. Geological Survey quadrangles. Data used in this report include the Arizona Aeromagnetic and Gravity Maps and Data referred to here as the 1996 Patagonia Aeromagnetic survey, Bouguer gravity anomaly data, and conductivity-depth transforms (CDTs) from the 1998 Santa Cruz transient electromagnetic survey (whose data are included in appendixes 1 and 2 of this report).</p><p>Analyses based on magnetic gradients worked well to identify the range-front faults along the Mt. Benedict horst block, the location of possibly fault-controlled canyons to the west of Mt. Benedict, the edges of buried lava flows, and numerous other concealed faults and contacts. Applying the 1996 Patagonia aeromagnetic survey data using the horizontal gradient method produced results that were most closely correlated with the observed geology.</p><p>The 1996 Patagonia aeromagnetic survey was used to estimate depth to bedrock in the upper Santa Cruz Basin study area. Three different depth estimation methods were applied to the data: Euler deconvolution, horizontal gradient magnitude, and analytic signal. The final depth to bedrock map was produced by choosing the maximum depth from each of the three methods at a given location and combining all maximum depths. In locations of rocks with a known reversed natural remanent magnetic field, gravity based depth estimates from Gettings and Houser (1997) were used.</p><p>The depth to bedrock map was supported by modeling aeromagnetic anomaly data along six profiles. These cross sectional models demonstrated that by using the depth to bedrock map generated in this study, known and concealed faults, measured and estimated magnetic susceptibilities of rocks found in the study area, and estimated natural remanent magnetic intensities and directions, reasonable geologic models can be built. This indicates that the depth to bedrock map is reason-able and geologically possible.</p><p>Finally, CDTs derived from the 1998 Santa Cruz Basin transient electromagnetic survey were used to help identify basin structure and some physical properties of the basin fill in the study area. The CDTs also helped to confirm depth to bedrock estimates in the Santa Cruz Basin, in particular a region of elevated bedrock in the area of Potrero Canyon, and a deep basin in the location of the Arizona State Highway 82 microbasin. The CDTs identified many concealed faults in the study area and possibly indicate deep water-saturated clay-rich sediments in the west-central portion of the study area. These sediments grade to more sand-rich saturated sediments to the south with relatively thick, possibly unsaturated, sediments at the surface. Also, the CDTs may indicate deep saturated clay-rich sediments in the Highway 82 microbasin and in the Mount Benedict horst block from Proto Canyon south to the international border.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161152","usgsCitation":"Bultman, M.W., and Page, W.R., 2016, Bedrock morphology and structure, upper Santa Cruz Basin, south-central Arizona, with transient electromagnetic survey data: U.S. Geological Survey Open-File Report 2016–1152, 49 p., https://dx.doi.org/10.3133/ofr20161152.","productDescription":"Report: viii, 49 p.; 2 Plates: 36.00 x 37.00 inches and 38.00 x 36.50 inches; 2 Appendixes; Read Me","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-060430","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":330512,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr20161152_Appendix1.zip","text":"Appendix 1. Santa Cruz Transient Electromagnetic Survey Conductivity-Depth Transforms (CDT) Plots","size":"11.7 MB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2016-1152 Appendix 1"},{"id":330439,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1152/coverthb.jpg"},{"id":330513,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr20161152_Appendix2.zip","text":"Appendix 2. Santa Cruz Transient Electromagnetic Survey Data","size":"45.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2016-1152 Appendix 2"},{"id":330440,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr20161152.pdf","text":"Report","size":"8.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1152 Report"},{"id":330441,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr2011152_Readme.txt","text":"Read Me","size":"8.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2016-1152 Read Me"},{"id":330514,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr20161152_plate_1.pdf","text":"Plate 1 Map showing potential field boundaries plotted over upper Santa Cruz Basin study area geology","size":"135 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1152 Plate 1"},{"id":330515,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr20161152_plate_2.pdf","text":"Plate 2 Map showing conductivity-depth transforms plotted over upper Santa Cruz Basin study area geology","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1152 Plate 2"}],"country":"United States","state":"Arizona","otherGeospatial":"Upper Santa Cruz Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.74356079101562,\n              31.33604401284106\n            ],\n            [\n              -110.74356079101562,\n              31.77837995377096\n            ],\n            [\n              -111.18026733398438,\n              31.77837995377096\n            ],\n            [\n              -111.181640625,\n              31.36653633110671\n            ],\n            [\n              -111.07452392578125,\n              31.33252503230784\n            ],\n            [\n              -110.74356079101562,\n              31.33604401284106\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Center Director, USGS Geosciences and Environmental Change Science Center<br>Box 25046, Mail Stop 980<br>Denver, CO 80225</p><p><a href=\"http://gec.cr.usgs.gov/\" data-mce-href=\"http://gec.cr.usgs.gov/\">http://gec.cr.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Geologic Setting of the Study Area</li><li>Previous Geophysical Analysis and Depth to Bedrock Estimates</li><li>Potential Field Data and Analysis in the Study Area</li><li>Transient Electromagnetic Data and Analysis</li><li>Conclusions</li><li>Possible Additional Work</li><li>References Cited</li><li>Appendix 1. Santa Cruz Transient Electromagnetic Survey Conductivity-Depth Transforms (CDT) Plots</li><li>Appendix 2. Santa Cruz Transient Electromagnetic Survey Data</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-10-31","noUsgsAuthors":false,"publicationDate":"2016-10-31","publicationStatus":"PW","scienceBaseUri":"5818582be4b0bb36a4c6f9f9","contributors":{"authors":[{"text":"Bultman, Mark W. 0000-0001-8352-101X mbultman@usgs.gov","orcid":"https://orcid.org/0000-0001-8352-101X","contributorId":3348,"corporation":false,"usgs":true,"family":"Bultman","given":"Mark","email":"mbultman@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":648506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, William R. 0000-0002-0722-9911 rpage@usgs.gov","orcid":"https://orcid.org/0000-0002-0722-9911","contributorId":1628,"corporation":false,"usgs":true,"family":"Page","given":"William","email":"rpage@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":648507,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70177816,"text":"ofr20161165 - 2016 - Community for Data Integration 2015 annual report","interactions":[],"lastModifiedDate":"2018-08-10T16:33:51","indexId":"ofr20161165","displayToPublicDate":"2016-10-28T12:00:00","publicationYear":"2016","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":"2016-1165","title":"Community for Data Integration 2015 annual report","docAbstract":"<p>The Community for Data Integration (CDI) continued to experience success in fiscal year 2015. The CDI community members have been sharing, learning, and collaborating through monthly forums, workshops, working groups, and funded projects. In fiscal year 2015, CDI coordinated 10 monthly forums with 16 different speakers from the U.S. Geological Survey and external partners; funded 11 collaborative projects; and hosted an in-person, four-day workshop, which attracted 168 (134 in-person and 34 remote) data practitioners, data providers, and data consumers from across the USGS, academia, industry, and other government agencies. The Citizen Science, Connected Devices, Data Management, Semantic Web, and Tech Stack Working Groups continued to accomplish great things in fiscal year 2015. These working groups were major stakeholders in planning the 2015 CDI Workshop; they continued developing solutions to pressing challenges, and they brought in speakers throughout the year for more focused presentations and discussions. Additionally, a new working group formed during the 2015 CDI Workshop—the Earth-Science Themes Working Group.</p><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161165","usgsCitation":"Langseth, M.L., Chang, M.Y., Carlino, Jennifer, Bellmore, J.R., Birch, D.D., Bradley, Joshua, Bristol, R.S., Buscombe, D.D., Duda, J.J., Everette, A.L., Graves, T.A., Greenwood, M.M., Govoni, H.S., Henkel, H.S., Hutchison, V.B., Jones, B.K., Kern, Tim, Lacey, Jennifer, Lamb, R.M., Lightsom, F.L., Long, J.L., Saleh, R.A., Smith, S.W., Soulard, C.E., Viger, R.J., Warrick, J.A., Wesenberg, K.E., Wieferich, D.J., and Winslow, L.A., 2016, Community for Data Integration 2015 annual report: U.S. Geological Survey Open-File Report 2016–1165, 57 p., https://dx.doi.org/10.3133/ofr20161165.","productDescription":"vi, 57 p.","onlineOnly":"Y","ipdsId":"IP-075199","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":330402,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1165/ofr20161165.pdf","text":"Report","size":"19.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1165"},{"id":330401,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1165/coverthb.jpg"}],"contact":"<p>Director, Core Science Analytics and Synthesis <br> U.S. Geological Survey<br> 108 National Center<br> 12201 Sunrise Valley Drive<br> Reston, VA 20192<br><a href=\"http://www.usgs.gov/core_science_systems/\" data-mce-href=\"http://www.usgs.gov/core_science_systems/\">http://www.usgs.gov/core_science_systems/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>History of the Community for Data Integration</li><li>Community for Data Integration Science Support Framework</li><li>Monthly Forums</li><li>2015 Community for Data Integration Workshop</li><li>Working Groups and Focus Groups</li><li>Annual Community for Data Integration Request for Proposals</li><li>Community for Data Integration Projects</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-10-28","noUsgsAuthors":false,"publicationDate":"2016-10-28","publicationStatus":"PW","scienceBaseUri":"581463a6e4b0bb36a4c2d2e2","contributors":{"authors":[{"text":"Langseth, Madison L. 0000-0002-4472-9106 mlangseth@usgs.gov","orcid":"https://orcid.org/0000-0002-4472-9106","contributorId":147810,"corporation":false,"usgs":true,"family":"Langseth","given":"Madison","email":"mlangseth@usgs.gov","middleInitial":"L.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":651862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chang, Michelle Y. mchang@usgs.gov","contributorId":5880,"corporation":false,"usgs":true,"family":"Chang","given":"Michelle","email":"mchang@usgs.gov","middleInitial":"Y.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":651863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlino, Jennifer 0000-0001-5757-4900 jcarlino@usgs.gov","orcid":"https://orcid.org/0000-0001-5757-4900","contributorId":147811,"corporation":false,"usgs":true,"family":"Carlino","given":"Jennifer","email":"jcarlino@usgs.gov","affiliations":[{"id":5076,"text":"Federal Geographic Data Committee","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":651864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bellmore, J. 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Sky 0000-0003-1682-4031 sbristol@usgs.gov","orcid":"https://orcid.org/0000-0003-1682-4031","contributorId":3585,"corporation":false,"usgs":true,"family":"Bristol","given":"R.","email":"sbristol@usgs.gov","middleInitial":"Sky","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":651868,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":652157,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 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rsaleh@usgs.gov","contributorId":5056,"corporation":false,"usgs":true,"family":"Saleh","given":"Ra’ad","email":"rsaleh@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":651882,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Smith, Stan W. stansmith@usgs.gov","contributorId":176316,"corporation":false,"usgs":false,"family":"Smith","given":"Stan W.","email":"stansmith@usgs.gov","affiliations":[],"preferred":false,"id":651883,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":651884,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":147818,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":651885,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":139314,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":651886,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Wesenberg, Katherine E. 0000-0001-9995-2973 kwesenberg@usgs.gov","orcid":"https://orcid.org/0000-0001-9995-2973","contributorId":176318,"corporation":false,"usgs":true,"family":"Wesenberg","given":"Katherine","email":"kwesenberg@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":651887,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Wieferich, Daniel J. 0000-0003-1554-7992 dwieferich@usgs.gov","orcid":"https://orcid.org/0000-0003-1554-7992","contributorId":5781,"corporation":false,"usgs":true,"family":"Wieferich","given":"Daniel","email":"dwieferich@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":651888,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Winslow, Luke A. 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":5919,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":651889,"contributorType":{"id":1,"text":"Authors"},"rank":29}]}}
,{"id":70176872,"text":"ofr20161168 - 2016 - High-resolution geophysical data from the Inner Continental Shelf: South of Martha's Vineyard and north of Nantucket, Massachusetts","interactions":[],"lastModifiedDate":"2017-11-10T18:19:08","indexId":"ofr20161168","displayToPublicDate":"2016-10-28T08:30:00","publicationYear":"2016","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":"2016-1168","title":"High-resolution geophysical data from the Inner Continental Shelf: South of Martha's Vineyard and north of Nantucket, Massachusetts","docAbstract":"<p>The U.S. Geological Survey and the Massachusetts Office of Coastal Zone Management have cooperated to map approximately 185 square kilometers of the inner continental shelf south of Martha’s Vineyard and north of Nantucket, Massachusetts. This report contains geophysical data collected by the U.S. Geological Survey during a survey in 2013. The geophysical data include (1) swath bathymetry collected by using interferometric sonar, (2) acoustic backscatter from the interferometric sonar, and (3) seismic-reflection profiles from a chirp subbottom profiler. These spatial data support research on the Quaternary evolution of coastal Massachusetts, the influence of sea-level change and sediment supply on coastal evolution, and efforts to understand the type, distribution, and quality of subtidal marine habitats in the coastal ocean of Massachusetts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161168","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management","usgsCitation":"Ackerman, S.D., Brothers, L.L., Foster, D.S., Andrews, B.D., Baldwin, W.E., and Schwab, W.C., 2016, High-resolution geophysical data from the inner continental shelf—South of Martha’s Vineyard and north of Nantucket, Massachusetts: U.S. Geological Survey Open-File Report 2016–1168, 21 p., https://dx.doi.org/10.3133/ofr20161168.","productDescription":"Report: vi, 21 p.; HTML Document","startPage":"1","endPage":"21","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-069726","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":330433,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1168/index.html","text":"Report HTML","description":"Report HTML"},{"id":330432,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1168/images/coverthb.jpg"},{"id":330434,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1168/ofr20161168.pdf","text":"Report","size":"1.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1168"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Martha's Vineyard, Nantucket","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.7904052734375,\n              41.15384235711447\n            ],\n            [\n              -70.7904052734375,\n              41.38711263243966\n            ],\n            [\n              -70.02960205078125,\n              41.38711263243966\n            ],\n            [\n              -70.02960205078125,\n              41.15384235711447\n            ],\n            [\n              -70.7904052734375,\n              41.15384235711447\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:whsc_science_director@usgs.gov\" data-mce-href=\"mailto:whsc_science_director@usgs.gov\">Director</a>, Woods Hole Coastal and Marine Science Center<br> U.S. Geological Survey<br> 384 Woods Hole Road <br> Quissett Campus<br> Woods Hole, MA 02543<br> <a href=\"http://woodshole.er.usgs.gov/\" data-mce-href=\"http://woodshole.er.usgs.gov/\">http://woodshole.er.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Data Collection and Processing</li><li>References Cited</li><li>Figures</li><li>Appendix 1. Geophysical Data</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-10-28","noUsgsAuthors":false,"publicationDate":"2016-10-28","publicationStatus":"PW","scienceBaseUri":"581463a6e4b0bb36a4c2d2e6","contributors":{"authors":[{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":650568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Laura L. lbrothers@usgs.gov","contributorId":131142,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura","email":"lbrothers@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":650569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":650570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andrews, Brian D. bandrews@usgs.gov","contributorId":174587,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":650571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":650572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":650573,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70176353,"text":"ofr20161154 - 2016 - Collision and displacement vulnerability among marine birds of the California Current System associated with offshore wind energy infrastructure","interactions":[],"lastModifiedDate":"2017-08-28T13:22:22","indexId":"ofr20161154","displayToPublicDate":"2016-10-27T08:00:00","publicationYear":"2016","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":"2016-1154","title":"Collision and displacement vulnerability among marine birds of the California Current System associated with offshore wind energy infrastructure","docAbstract":"<p class=\"p1\">With growing climate change concerns and energy constraints, there is an increasing need for renewable energy sources within the United States and globally. Looking forward, offshore wind-energy infrastructure (OWEI) has the potential to produce a significant proportion of the power needed to reach our Nation’s renewable energy goal. Offshore wind-energy sites can capitalize open areas within Federal waters that have persistent, high winds with large energy production potential. Although there are few locations in the California Current System (CCS) where it would be acceptable to build pile-mounted wind turbines in waters less than 50 m deep, the development of technology able to support deep-water OWEI (&gt;200 m depth) could enable wind-energy production in the CCS. As with all human-use of the marine environment, understanding the potential impacts of wind-energy infrastructure on the marine ecosystem is an integral part of offshore wind-energy research and planning. Herein, we present a comprehensive database to quantify marine bird vulnerability to potential OWEI in the CCS (see <span class=\"s1\"><a href=\"https://doi.org/10.5066/F79C6VJ0\" target=\"blank\" data-mce-href=\"https://doi.org/10.5066/F79C6VJ0\">https://doi.org/10.5066/F79C6VJ0</a></span>). These data were used to quantify marine bird vulnerabilities at the population level. For 81 marine bird species present in the CCS, we created three vulnerability indices: Population Vulnerability, Collision Vulnerability, and Displacement Vulnerability. Population Vulnerability was used as a scaling factor to generate two comprehensive indicies: <i>Population Collision Vulnerability </i>(PCV) and <i>Population Displacement Vulnerability </i>(PDV). Within the CCS, pelicans, terns (Forster’s [<i>Sterna forsteri</i>], Caspian [<i>Hydroprogne caspia</i>], Elegant [<i>Thalasseus elegans</i>], and Least Tern [<i>Sternula antillarum</i>]), gulls (Western [<i>Larus occidentalis</i>] and Bonaparte’s Gull [<i>Chroicocephalus philadelphia</i>]), South Polar Skua (<i>Stercorarius maccormicki</i>), and Brandt’s Cormorant (<i>Phalacrocorax penicillatus</i>) had the greatest PCV scores. Brown Pelican (<i>Pelicanus occidentalis</i>) had the greatest overall PCV score. Some alcids (Scripps’s Murrelet [<i>Synthliboramphus scrippsi</i>], Marbled Murrelet [<i>Brachyramphus marmoratus</i>], and Tufted Puffin [<i>Fratercula cirrhata</i>]), terns (Elegant and Least Lern), and loons (Yellow-billed [<i>Gavia adamsii</i>] and Common Loon [<i>G. immer</i>]) had the greatest PDV scores. Ashy Storm-Petrel (<i>Oceanodroma homochroa</i>) had the greatest overall PDV score. To help inform decisions that will impact seabird conservation, vulnerability assessment results can now be combined with recent marine bird at-sea distribution and abundance data for the CCS to evaluate vulnerability areas where OWEI development is being considered. Lastly, it is important to note that as new information about seabird behavior and populations in the CCS becomes available, this database can be easily updated and modified.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161154","collaboration":"Prepared in cooperation with Bureau of Ocean Energy Management (OCS Study, BOEM 2016-043)","usgsCitation":"Adams, J., Kelsey, E.C., Felis, J.J., and Pereksta, D.M., 2017, Collision and displacement vulnerability among marine birds of the California Current System associated with offshore wind energy infrastructure (ver. 1.1, July 2017): U.S. Geological Survey Open-File Report 2016-1154, 116 p., https://doi.org/10.3133/ofr20161154.","productDescription":"Report: vi, 116 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-071912","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":438527,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79C6VJ0","text":"USGS data release","linkHelpText":"Data for calculating population, collision and displacement vulnerability among marine birds of the California Current System associated with offshore wind energy infrastructure (ver. 2.0, June 2017)"},{"id":341751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1154/coverthb.jpg"},{"id":344436,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1154/ofr20161154.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1154"},{"id":344437,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2016/1154/ofr20161154_revision history.docx","size":"153 KB docx","description":"OFR 2016-1154 Revision History"}],"edition":"Version 1.0: Originally posted October 27, 2016; Version 1.1: July 2017","contact":"<p>Director, <a href=\"https://www.werc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://www.werc.usgs.gov/\">Western Ecological Research Center</a><br> U.S. Geological Survey<br> 3020 State University Drive East<br> Sacramento, California 95819</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>Marine Bird Species and Taxa Accounts<br></li><li>Conclusions<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Glossary<br></li><li>Appendix A<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-10-27","revisedDate":"2017-07-28","noUsgsAuthors":false,"publicationDate":"2016-10-27","publicationStatus":"PW","scienceBaseUri":"5813125ae4b0b5a0c12ab63c","contributors":{"authors":[{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":648474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelsey, Emily C.","contributorId":175491,"corporation":false,"usgs":true,"family":"Kelsey","given":"Emily C.","affiliations":[],"preferred":false,"id":648475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":648476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pereksta, David M.","contributorId":174519,"corporation":false,"usgs":false,"family":"Pereksta","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":false,"id":648477,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70177110,"text":"ofr20161180 - 2016 - Selected techniques for monitoring water movement through unsaturated alluvium during managed aquifer recharge","interactions":[],"lastModifiedDate":"2019-12-27T11:30:40","indexId":"ofr20161180","displayToPublicDate":"2016-10-21T00:00:00","publicationYear":"2016","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":"2016-1180","title":"Selected techniques for monitoring water movement through unsaturated alluvium during managed aquifer recharge","docAbstract":"<p class=\"p1\">Managed aquifer recharge is used to augment natural recharge to aquifers. It can be used to replenish aquifers depleted by pumping or to store water during wetter years for withdrawal during drier years. Infiltration from ponds is a commonly used, inexpensive approach for managed aquifer recharge.<br></p><p class=\"p3\">At some managed aquifer-recharge sites, the time when infiltrated water arrives at the water table is not always clearly shown by water-level data. As part of site characterization and operation, it can be desirable to track downward movement of infiltrated water through the unsaturated zone to identify when it arrives at the water table.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161180","collaboration":"Prepared in cooperation with the Antelope Valley-East Kern Water Agency","usgsCitation":"Nawikas, J.M, O’Leary, D.R., Izbicki, J.A., and Burgess, M.K., 2016, Selected techniques for monitoring water movement through unsaturated alluvium during managed aquifer recharge: U.S. Geological Survey Open-File Report 2016–5105, 8 p., https://dx.doi.org/10.3133/ofr20161180.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","ipdsId":"IP-060596","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":329775,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1180/coverthb.jpg"},{"id":329776,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1180/ofr20161180.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1180"}],"country":"United States","state":"California","otherGeospatial":"Antelope Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.795166015625,\n              34.474863669009004\n            ],\n            [\n              -117.20214843749999,\n              34.474863669009004\n            ],\n            [\n              -117.20214843749999,\n              35.106428057364255\n            ],\n            [\n              -118.795166015625,\n              35.106428057364255\n            ],\n            [\n              -118.795166015625,\n              34.474863669009004\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:jnawika@usgs.gov@usgs.gov\" data-mce-href=\"mailto:jnawika@usgs.gov@usgs.gov\">Joseph Nawikas</a><br> 4165 Spruance Road, Suite 200<br> San Diego, CA 92101<br> (619) 225-6148<br> <a href=\"mailto:jnawika@usgs.gov@usgs.gov\" data-mce-href=\"mailto:jnawika@usgs.gov@usgs.gov\">jnawika@usgs.gov</a></p>","tableOfContents":"<ul><li>The Water Supply Stabilization–Project-2 Site<br></li><li>Instrumented Boreholes<br></li><li>Sequential Electromagnetic Logging<br></li><li>Borehole Direct-Current Resistivity<br></li><li>Distributed Temperature Sensing<br></li><li>Conclusions<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-10-21","noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"580f1db8e4b0f497e794e4cb","contributors":{"authors":[{"text":"Nawikas, Joseph M. 0000-0001-9061-6674 jnawika@usgs.gov","orcid":"https://orcid.org/0000-0001-9061-6674","contributorId":5292,"corporation":false,"usgs":true,"family":"Nawikas","given":"Joseph","email":"jnawika@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":651333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Leary, David R. 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":2143,"corporation":false,"usgs":true,"family":"O’Leary","given":"David","email":"doleary@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":651334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":149374,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":651335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burgess, Matthew K. 0000-0002-2828-8910 mburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-2828-8910","contributorId":2115,"corporation":false,"usgs":true,"family":"Burgess","given":"Matthew","email":"mburgess@usgs.gov","middleInitial":"K.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":651336,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70177104,"text":"ofr20161104 - 2016 - Abstract volume for the 2016 biennial meeting of the Yellowstone Volcano Observatory","interactions":[],"lastModifiedDate":"2016-10-21T09:26:20","indexId":"ofr20161104","displayToPublicDate":"2016-10-20T00:00:00","publicationYear":"2016","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":"2016-1104","title":"Abstract volume for the 2016 biennial meeting of the Yellowstone Volcano Observatory","docAbstract":"<h1>Introduction</h1><p class=\"p1\">Every two years, scientists, natural resource managers, outreach specialists, and a variety of other interested parties get together for the biennial meeting of the Yellowstone Volcano Observatory (YVO). Each time, the theme varies. In past years, we have focused the meeting around topics including monitoring plans, emergency response, geodesy, and outreach. This year, we spent the first half-day devoted to recent research results, plans for upcoming studies, and geothermal monitoring. On the second day, our focus switched to eruption precursors, particularly as they apply to large caldera systems.</p><p class=\"p1\">Very few large explosive eruptions from caldera systems have taken place in recorded history. Therefore, there are few empirical data with which to characterize the nature of volcanic unrest that might precede eruptions with volcano explosivity index (VEI) of six or greater. For this reason, we set up a series of talks that explore what we know and don’t know about large eruptions. We performed an informal expert elicitation (a frequently used method to characterize expert opinion) with a small number of our colleagues, which served as the basis for a productive discussion session.</p><p class=\"p1\">This short volume of abstracts and extended abstracts provides a summary of the presentations made at the YVO meeting held in Mammoth Hot Springs, Wyoming, on May 10–11, 2016.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161104","usgsCitation":"Lowenstern, J.B., ed., 2016, Abstract volume for the 2016 biennial meeting of the Yellowstone Volcano Observatory: U.S. Geological Survey Open-File Report 2016–1104, 46 p., https://www.dx.doi.org/10.3133/ofr20161104","productDescription":"iii, 46 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-076807","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":329774,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1104/ofr20161104.pdf","text":"Report","size":"4.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1104"},{"id":329773,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1104/coverthb.jpg"}],"contact":"<p><a href=\"mailto:yvowebteam@volcanoes.usgs.gov\" target=\"_blank\" data-mce-href=\"mailto:yvowebteam@volcanoes.usgs.gov\">Contact YVO</a> <br>Volcano Science Center, Yellowstone Volcano Observatory <br>U.S. Geological Survey <br>345 Middlefield Road, MS 910 <br>Menlo Park, CA 94025 <br><a href=\"http://volcanoes.usgs.gov/yvo/\" target=\"_blank\" data-mce-href=\"http://volcanoes.usgs.gov/yvo/\">http://volcanoes.usgs.gov/yvo/</a></p>","tableOfContents":"<ul><li>Biennial Meeting of the Yellowstone Volcano Observatory<br></li><li>The 2015 Upper Geyser Basin Seismic Imaging Experiment<br></li><li>Multiscale, Multi-property Geophysical Imaging of Hydrothermal Systems, Yellowstone National Park<br></li><li>The Hydrothermal Dynamics of Yellowstone Lake (HD-YLAKE) Project: Responses to Tectonic, Magmatic, and Climatic Forcing<br></li><li>What We’ve Learned From 12 Years of Sampling Gas and Water at Yellowstone<br></li><li>Status and Future Directions of the Chloride Flux Program<br></li><li>Continuous Monitoring of Hydrothermal CO2 and Heat Emissions Using the Eddy Covariance Method at Norris Geyser Basin, Yellowstone National Park<br></li><li>Satellite and Airborne Measurements of Thermal Emission at Yellowstone<br></li><li>Yellowstone Hydrothermal Systems: Public Safety, Science and Recommendation<br></li><li>What Do We Know About Earthquakes at Yellowstone: An Overview of Swarms, Magnitudes, Fault Interactions, Earthquake Families, and Why We Can’t Find Long-Period Events<br></li><li>Recent InSAR Studies at Yellowstone<br></li><li>Probabilistic Forecasting of Volcanic Eruptions Using Physics-based Models<br></li><li>What Do We Know About Eruption Precursors at Large Silicic Caldera Systems?<br></li><li>Tools for Decision Making in Eruption Forecasting<br></li><li>Using Global Data for Eruption Forecasting<br></li><li>An Exercise to Obtain Expert Views on Precursors to Volcanic Eruptions at Yellowstone<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-10-20","noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"5809d7c3e4b0f497e78fca54","contributors":{"editors":[{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":651442,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":70176087,"text":"ofr20161143 - 2016 - Occurrence and distribution of arsenic and radon in water from private wells in the Rancocas aquifer, southern New Castle and northern Kent Counties, Delaware, 2015","interactions":[],"lastModifiedDate":"2016-10-12T09:40:01","indexId":"ofr20161143","displayToPublicDate":"2016-10-12T08:45:00","publicationYear":"2016","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":"2016-1143","title":"Occurrence and distribution of arsenic and radon in water from private wells in the Rancocas aquifer, southern New Castle and northern Kent Counties, Delaware, 2015","docAbstract":"<p>Water samples were collected and analyzed for arsenic and radon from 36 private, mostly domestic wells that tap the Rancocas aquifer in southern New Castle and northern Kent Counties, Delaware, during the summer of 2015. Both arsenic and radon are from natural mineral sources, in particular glauconitic and other marine-derived sediments, which are important components of the geologic formations comprising the Rancocas aquifer. Routine testing of domestic wells is not required in Delaware; as a result, many homeowners are not aware of potential water-quality problems with these chemicals in their well water. Arsenic has previously been detected at levels of potential concern for human health in this aquifer in adjacent parts of Maryland where it is referred to as the Aquia aquifer. Arsenic and radon also have previously been detected in several Rancocas aquifer wells in Delaware. The Delaware Department of Natural Resources and Environmental Control intends to use the data from this project to better identify areas with potential for levels of concern for domestic well owners. This report includes chemical results and maps showing the distribution of sampled wells and concentrations of arsenic and radon. All data collected for this study also are available in the U.S. Geological Survey’s National Water Information System database.</p><p>Arsenic was detected above the minimum reporting limit of 0.1 micrograms per liter (µg/L) in 34 of the 36 wells sampled with concentrations ranging from about 0.11 to 27 µg/L. In 15 of the samples, arsenic concentrations were at or above the U.S. Environmental Protection Agency (EPA) Maximum Contaminant Level (MCL) of 10 µg/L for public wells. Most of the higher concentrations are clustered along a band running from the southwest to northeast in the southern part of the study area.</p><p>Radon, which is an inert gas derived from radium, was detected in all water samples with concentrations ranging from 85 to 1,870 picocuries per liter (pCi/L). Currently, the EPA has not set a MCL for radon in public water systems. There were no samples where radon was detected at a concentration exceeding the proposed alternative MCL of 4,000 pCi/L. Samples from 16 of 36 wells were above the lower proposed MCL of 300 pCi/L. Most of these samples were from wells greater than 200 feet deep located in a similar part of the aquifer as the higher concentrations of arsenic along an east-northeasterly line in the southern part of the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161143","isbn":"978-1-4113 4086-2","collaboration":"Prepared in cooperation with the Delaware Department of Natural Resources and  Environmental Control (DNREC) Water Supply Section, Groundwater Protection Branch","usgsCitation":"Denver, J.M., 2016, Occurrence and distribution of arsenic and radon in water from private wells in the Rancocas aquifer, southern New Castle and northern Kent Counties, Delaware, 2015: U.S. Geological Survey Open-File Report 2016–1143, 15 p., https://dx.doi.org/10.3133/ofr20161143. ","productDescription":"vi, 15 p.","numberOfPages":"26","onlineOnly":"N","ipdsId":"IP-076094","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":329414,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1143/ofr20161143.pdf","text":"Report","size":"1.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1143"},{"id":329413,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1143/coverthb.jpg"}],"country":"United States","state":"Delaware","county":"Kent County, New Castle County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.43624877929688,\n              39.310925412127155\n            ],\n            [\n              -75.76034545898438,\n              39.298705113102244\n            ],\n            [\n              -75.77888488769531,\n              39.50827899034114\n            ],\n            [\n              -75.57220458984375,\n              39.51834388059882\n            ],\n            [\n              -75.43624877929688,\n              39.310925412127155\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_md@usgs.gov\" data-mce-href=\"mailto:dc_md@usgs.gov\">Director</a>, MD-DE-DC Water Science Center<br> U.S. Geological Survey<br> 5522 Research Park Drive<br> Baltimore, MD 21228</p><p>Or visit our Web site at:<br> <a href=\"http://md.water.usgs.gov\" data-mce-href=\"http://md.water.usgs.gov\">http://md.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract&nbsp;</li><li>Introduction</li><li>Methods of Study&nbsp;</li><li>Occurrence and Distribution of Arsenic and Radon&nbsp;</li><li>Appendix 1. Groundwater-quality data for private wells sampled in the Rancocas aquifer, Delaware, June through August 2015</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2016-10-12","noUsgsAuthors":false,"publicationDate":"2016-10-12","publicationStatus":"PW","scienceBaseUri":"57fe6798e4b0824b2d1436e4","contributors":{"authors":[{"text":"Denver, Judith M. jmdenver@usgs.gov","contributorId":140022,"corporation":false,"usgs":true,"family":"Denver","given":"Judith","email":"jmdenver@usgs.gov","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":647052,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174941,"text":"ofr20161062 - 2016 - Evaluating models of population process in a threatened population of Steller’s eiders: A retrospective approach","interactions":[],"lastModifiedDate":"2016-10-12T08:39:36","indexId":"ofr20161062","displayToPublicDate":"2016-10-11T15:30:00","publicationYear":"2016","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":"2016-1062","title":"Evaluating models of population process in a threatened population of Steller’s eiders: A retrospective approach","docAbstract":"<p>The Alaskan breeding population of Steller’s eiders (<i>Polysticta stelleri</i>) was listed as threatened under the Endangered Species Act in 1997 in response to perceived declines in abundance throughout their breeding and nesting range. Aerial surveys suggest the breeding population is small and highly variable in number, with zero birds counted in 5 of the last 25 years. Research was conducted to evaluate competing population process models of Alaskan-breeding Steller’s eiders through comparison of model projections to aerial survey data. To evaluate model efficacy and estimate demographic parameters, a Bayesian state-space modeling framework was used and each model was fit to counts from the annual aerial surveys, using sequential importance sampling and resampling. The results strongly support that the Alaskan breeding population experiences population level nonbreeding events and is open to exchange with the larger Russian-Pacific breeding population. Current recovery criteria for the Alaskan breeding population rely heavily on the ability to estimate population viability. The results of this investigation provide an informative model of the population process that can be used to examine future population states and assess the population in terms of the current recovery and reclassification criteria.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161062","usgsCitation":"Dunham, Kylee, and Grand, J.B., 2016, Evaluating models of population process in a threatened population of Steller’s eiders—A retrospective approach: U.S. Geological Survey Open-File Report 2016–1062, 14 p., https://dx.doi.org/10.3133/ofr20161062.","productDescription":"vi, 14 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074896","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":329250,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/ofr20161084","text":"Open-File Report 2016–1084","description":"Open-File Report 2016–1084","linkHelpText":"- Viability of the Alaskan Breeding Population of Steller’s Eiders"},{"id":329247,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1062/ofr20161062.pdf","text":"Report","size":"355 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1062"},{"id":329246,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1062/coverthb.jpg"}],"contact":"<p>Chief, Cooperative Research Units<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> Reston, VA 20192-0002<br> <a href=\"https://www.usgs.gov/science/mission-areas/ecosystems\" data-mce-href=\"https://www.usgs.gov/science/mission-areas/ecosystems\">https://www.usgs.gov/science/mission-areas/ecosystems </a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>1 Introduction</li><li>2 Methods</li><li>3 Results</li><li>4 Discussion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-10-11","noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"57fe679ae4b0824b2d1436ed","contributors":{"authors":[{"text":"Dunham, Kylee","contributorId":173081,"corporation":false,"usgs":false,"family":"Dunham","given":"Kylee","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":643254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":643253,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174940,"text":"ofr20161084 - 2016 - Viability of the Alaskan breeding population of Steller’s eiders","interactions":[],"lastModifiedDate":"2016-10-11T15:47:23","indexId":"ofr20161084","displayToPublicDate":"2016-10-11T15:30:00","publicationYear":"2016","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":"2016-1084","title":"Viability of the Alaskan breeding population of Steller’s eiders","docAbstract":"<p>The U.S. Fish and Wildlife Service is tasked with setting objective and measurable criteria for delisting species or populations listed under the Endangered Species Act. Determining the acceptable threshold for extinction risk for any species or population is a challenging task, particularly when facing marked uncertainty. The Alaskan breeding population of Steller’s eiders (<i>Polysticta stelleri</i>) was listed as threatened under the Endangered Species Act in 1997 because of a perceived decline in abundance throughout their nesting range and geographic isolation from the Russian breeding population. Previous genetic studies and modeling efforts, however, suggest that there may be dispersal from the Russian breeding population. Additionally, evidence exists of population level nonbreeding events. Research was conducted to estimate population viability of the Alaskan breeding population of Steller’s eiders, using both an open and closed model of population process for this threatened population. Projections under a closed population model suggest this population has a 100 percent probability of extinction within 42 years. Projections under an open population model suggest that with immigration there is no probability of permanent extinction. Because of random immigration process and nonbreeding behavior, however, it is likely that this population will continue to be present in low and highly variable numbers on the breeding grounds in Alaska. Monitoring the winter population, which includes both Russian and Alaskan breeding birds, may offer a more comprehensive indication of population viability.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161084","usgsCitation":"Dunham, Kylee, and Grand, J.B., 2016, Viability of the Alaskan breeding population of Steller’s eiders: U.S. Geological Survey Open-File Report 2016–1084, 8 p., https://dx.doi.org/10.3133/ofr20161084.","productDescription":"v, 8 p.","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074532","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":329251,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/ofr20161062","text":"Open-File Report 2016–1062","description":"Open-File Report 2016–1062","linkHelpText":"- Evaluating Models of Population Process in a Threatened Population of Steller’s Eiders: A Retrospective Approach"},{"id":329249,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1084/ofr20161084.pdf","text":"Report","size":"232 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1084"},{"id":329248,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1084/coverthb.jpg"}],"contact":"<p>Chief, Cooperative Research Units<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> Reston, VA 20192-0002<br> <a href=\"https://www.usgs.gov/science/mission-areas/ecosystems\" data-mce-href=\"https://www.usgs.gov/science/mission-areas/ecosystems\">https://www.usgs.gov/science/mission-areas/ecosystems </a></p>","tableOfContents":"<ul><li>Ackknowledgments&nbsp;</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-10-11","noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"57fe679ae4b0824b2d1436ef","contributors":{"authors":[{"text":"Dunham, Kylee","contributorId":173081,"corporation":false,"usgs":false,"family":"Dunham","given":"Kylee","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":643252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":643251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175960,"text":"ofr20161136 - 2016 - Massachusetts reservoir simulation tool—User’s manual","interactions":[],"lastModifiedDate":"2018-02-15T15:39:29","indexId":"ofr20161136","displayToPublicDate":"2016-10-06T08:45:00","publicationYear":"2016","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":"2016-1136","title":"Massachusetts reservoir simulation tool—User’s manual","docAbstract":"<h1>Introduction</h1><p>The U.S. Geological Survey developed the Massachusetts Reservoir Simulation Tool to examine the effects of reservoirs on natural streamflows in Massachusetts by simulating the daily water balance of reservoirs. The simulation tool was developed to assist environmental managers to better manage water withdrawals in reservoirs and to preserve downstream aquatic habitats.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161136","usgsCitation":"Levin, S.B., 2016, Massachusetts reservoir simulation tool—User’s manual: U.S. Geological Survey Open-File Report 2016–1136, 22 p., https://dx.doi.org/10.3133/ofr20161136.","productDescription":"Report: iv, 22 p.; Software or Model Page","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073794","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":329305,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20165123","text":"Scientific Investigations Report 2016–5123","description":"Scientific Investigations Report 2016–5123","linkHelpText":"- Effects of Water-Supply Reservoirs on Streamflow in Massachusetts"},{"id":329300,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1136/ofr20161136.pdf","text":"Report","size":"4.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1136"},{"id":329306,"rank":4,"type":{"id":4,"text":"Application Site"},"url":"https://newengland.water.usgs.gov/dev/sl1/rst/ ","text":"Software or Model Page","description":"Software or Model Page","linkHelpText":"- The Massachusetts Reservoir Simulation Tool"},{"id":329299,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1136/coverthb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Massachusetts Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.116667,\n              42.311111\n            ],\n            [\n              -72.116667,\n              42.270833\n            ],\n            [\n              -72.045833,\n              42.270833\n            ],\n            [\n              -72.045833,\n              42.311111\n            ],\n            [\n              -72.116667,\n              42.311111\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br> U.S. Geological Survey<br> 10 Bearfoot Road<br> Northborough, MA 01532</p><p>Or visit our Web site at:<br> <a href=\"http://newengland.water.usgs.gov/\" data-mce-href=\"http://newengland.water.usgs.gov/\">http://newengland.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Model Overview and System Requirements</li><li>Simulating a Single-Reservoir System</li><li>Simulating a Multiple-Reservoir System</li><li>Adding a New Reservoir&nbsp;</li><li>Estimating Groundwater Parameters</li><li>Deleting a Reservoir</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-10-06","noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"57f7c089e4b0bc0bec09c7cd","contributors":{"authors":[{"text":"Levin, Sara B. 0000-0002-2448-3129 slevin@usgs.gov","orcid":"https://orcid.org/0000-0002-2448-3129","contributorId":1870,"corporation":false,"usgs":true,"family":"Levin","given":"Sara","email":"slevin@usgs.gov","middleInitial":"B.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646706,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70176429,"text":"ofr20161157 - 2016 - Bathymetric survey and estimation of storage capacity of lower Sixmile Creek reservoir, Ithaca, New York","interactions":[],"lastModifiedDate":"2016-10-05T16:54:35","indexId":"ofr20161157","displayToPublicDate":"2016-10-05T15:00:00","publicationYear":"2016","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":"2016-1157","title":"Bathymetric survey and estimation of storage capacity of lower Sixmile Creek reservoir, Ithaca, New York","docAbstract":"<p>During 2015, the U.S. Geological Survey, in cooperation with the City of Ithaca, New York, and the New York State Department of State, conducted a bathymetric survey of the lower Sixmile Creek reservoir in Tompkins County, New York. A former water-supply reservoir for the City of Ithaca, the reservoir is no longer a functional component of Ithaca’s water-supply system, having been replaced by a larger reservoir less than a mile upstream in 1911. Excessive sedimentation has substantially reduced the reservoir’s water-storage capacity and made the discharge gate at the base of the 30-foot dam, which creates the reservoir, inoperable. U.S. Geological Survey personnel collected bathymetric data by using an acoustic Doppler current profiler. Across more than half of the approximately 14-acre reservoir, depths were manually measured because of interference from aquatic vegetation with the acoustic Doppler current profiler. City of Ithaca personnel created a bottom-elevation surface from these depth data. A second surface was created from depths that were manually measured by City of Ithaca personnel during 1938. Surface areas and storage capacities were computed at 1-foot increments of elevation for both bathymetric surveys. The results indicate that the current storage capacity of the reservoir at its normal water-surface elevation is about 84 acre-feet and that sediment accumulated between 1938 and 2015 has decreased the reservoir’s capacity by about 68 acre-feet. This sediment load is attributed to annual inputs from the watershed above the reservoir, as well as from an episodic landslide that filled a large part of the reservoir along its northern edge in 1949.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161157","collaboration":"Prepared in cooperation with the City of Ithaca, New York, and the New York State Department of State","usgsCitation":"Wernly, J.F., Zajd, H.J., Jr., and Coon, W.F., 2016, Bathymetric survey and estimation of storage capacity of lower Sixmile Creek reservoir, Ithaca, New York: U.S. Geological Survey Open-File Report 2016–1157, 13 p., https://dx.doi.org/10.3133/ofr20161157.","productDescription":"Report: vii, 13 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-074656","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":438539,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G15Z0S","text":"USGS data release","linkHelpText":"Geospatial data set of bathymetric survey of lower Sixmile Creek Reservoir, Ithaca, New York, 2015"},{"id":329057,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1157/coverthb.jpg"},{"id":329058,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1157/ofr20161157.pdf","text":"Report","size":"7.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1157"},{"id":329059,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7G15Z0S","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial Dataset of Bathymetric Survey of Lower Sixmile Creek Reservoir, Ithaca, New York, 2015"}],"country":"United States","state":"New York","city":"Ithaca","otherGeospatial":"Lower Sixmile Creek Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.47645235061646,\n              42.42269621215634\n            ],\n            [\n              -76.47645235061646,\n              42.42519885057981\n            ],\n            [\n              -76.47053003311157,\n              42.42519885057981\n            ],\n            [\n              -76.47053003311157,\n              42.42269621215634\n            ],\n            [\n              -76.47645235061646,\n              42.42269621215634\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, New York Water Science Center <br> U.S. Geological Survey <br> 30 Brown Road <br> Ithaca, NY 14850</p><p>Information requests: <br> (518) 285-5602 <br> or visit our Web site at: <br> <a href=\"http://ny.water.usgs.gov&#10;\" data-mce-href=\"http://ny.water.usgs.gov\">http://ny.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Bathymetric Survey</li><li>Dam and Normal Pool Water-Surface Elevations</li><li>Creation of Bathymetric Surface</li><li>Estimation of Surface Area and Storage Capacity</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-10-05","noUsgsAuthors":false,"publicationDate":"2016-10-05","publicationStatus":"PW","scienceBaseUri":"57f7c639e4b0bc0bec09c80a","contributors":{"authors":[{"text":"Wernly, John F. jwernly@usgs.gov","contributorId":174610,"corporation":false,"usgs":true,"family":"Wernly","given":"John F.","email":"jwernly@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zajd hzajd@usgs.gov","contributorId":1085,"corporation":false,"usgs":true,"family":"Zajd","email":"hzajd@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648732,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176659,"text":"ofr20161169 - 2016 - Environmental and eelgrass response to dike removal: Nisqually River Delta (2010–14)","interactions":[],"lastModifiedDate":"2016-10-04T10:50:20","indexId":"ofr20161169","displayToPublicDate":"2016-10-03T00:00:00","publicationYear":"2016","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":"2016-1169","title":"Environmental and eelgrass response to dike removal: Nisqually River Delta (2010–14)","docAbstract":"<p>Restoration of tidal flows to formerly diked marshland can alter land-to-sea fluxes and patterns of accumulation of terrestrial sediment and organic matter, and these tidal flows can also affect existing nearshore habitats. Dikes were removed from 308 hectares (ha) of the Nisqually National Wildlife Refuge on the Nisqually River Delta in south Puget Sound, Washington, in fall 2009 to improve habitat for wildlife, such as juvenile salmon. Ecologically important intertidal and subtidal eelgrass (<i>Zostera marina</i>) beds grow on the north and west margins of the delta. The goal of this study was to understand long-term changes in eelgrass habitat and their relation to dike removal. Sediment and eelgrass properties were monitored annually in May from 2010 to 2014 at two sites on the west side of the Nisqually River Delta along McAllister Creek, a spring-fed creek near two restored tidal channels. In May 2014, the mean canopy height of eelgrass was the same as in previous years in an 8-ha bed extending to the Nisqually River Delta front, but mean canopy height was 20 percent lower in a 0.3-ha eelgrass bed closer to the restored marsh when compared to mean canopy height of eelgrass in May 2010, 6 months after dike removal was completed. Over 5 years, the amount of eelgrass leaf area per square meter (m<sup>2</sup>) in the 8-ha bed increased slightly, and surface-sediment grain size became finer. In contrast, in the 0.3-ha bed, eelgrass leaf area per m<sup>2</sup> decreased by 45 percent, and surface sediment coarsened. Other potential stressors, including sediment pore water reduction-oxidation potential (redox) and hydrogen sulfide (H<sub>2</sub>S) concentration in the eelgrass rhizosphere, or root zone, were below levels that negatively affect eelgrass growth and therefore did not appear to be environmental stressors on plants. Eelgrass biomass partitioning, though less favorable in the 8-ha eelgrass bed compared to the 0.3-ha one, was well above the critical above-ground to below-ground biomass ratio of 2:1 for <i>Z. marina</i>, an indication that these plants were not at risk of a carbon deficit during low-light conditions. After 5 years, nearshore changes associated with the restoration of tidal flows to formerly diked marshes of the Nisqually River Delta appeared to have little impact on the large eelgrass bed extending from Luhr Beach to the Nisqually River Delta front; however, restoration appears to be contributing to the decline of a small eelgrass bed closer to the restoration area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161169","usgsCitation":"Takesue, R.K., 2016, Environmental and eelgrass response to dike removal: Nisqually River Delta (2010–14): U.S. Geological Survey Open-File Report 2016–1169, 17 p., https://dx.doi.org/10.3133/ofr20161169.","productDescription":"vi, 17 p.","numberOfPages":"25","onlineOnly":"Y","ipdsId":"IP-064121","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":329008,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1169/ofr20161169.pdf","text":"Report","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1169"},{"id":329007,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1169/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":" Nisqually River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.73556709289551,\n              47.06760800518024\n            ],\n            [\n              -122.73556709289551,\n              47.10997630516621\n            ],\n            [\n              -122.68183708190917,\n              47.10997630516621\n            ],\n            [\n              -122.68183708190917,\n              47.06760800518024\n            ],\n            [\n              -122.73556709289551,\n              47.06760800518024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\" target=\"_blank\" data-mce-href=\"mailto:dc_wa@usgs.gov\">Director</a>, Washington Water Science Center<br> U.S. Geological Survey<br> 934 Broadway, Suite 300<br> Tacoma, Washington 98402<br> <a href=\"http://wa.water.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://wa.water.usgs.gov/\">http://wa.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>Summary<br></li><li>References Cited<br></li><li>Appendixes 1–3<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-10-03","noUsgsAuthors":false,"publicationDate":"2016-10-03","publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c82a","contributors":{"authors":[{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649515,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175670,"text":"ofr20161124 - 2016 - Laboratory evaluation of the Design Analysis Associates DAA H-3613i radar water-level sensor—Results of  temperature, distance, and SDI-12 tests","interactions":[],"lastModifiedDate":"2016-10-03T11:42:46","indexId":"ofr20161124","displayToPublicDate":"2016-09-30T16:30:00","publicationYear":"2016","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":"2016-1124","title":"Laboratory evaluation of the Design Analysis Associates DAA H-3613i radar water-level sensor—Results of  temperature, distance, and SDI-12 tests","docAbstract":"<p>The Design Analysis Associates (DAA) DAA H-3613i radar water-level sensor (DAA H-3613i), manufactured by Xylem Incorporated, was evaluated by the U.S. Geological Survey (USGS) Hydrologic Instrumentation Facility (HIF) for conformance to manufacturer’s accuracy specifications for measuring a distance throughout the sensor’s operating temperature range, for measuring distances from 3 to 15 feet at ambient temperatures, and for compliance with the SDI-12 serial-to-digital interface at 1200-baud communication standard. The DAA H-3613i is a noncontact water-level sensor that uses pulsed radar to measure the distance between the radar and the water surface from 0.75 to 131 feet over a temperature range of −40 to 60 degrees Celsius (°C). Manufacturer accuracy specifications that were evaluated, the test procedures that followed, and the results obtained are described in this report. The sensor’s accuracy specification of ± 0.01 feet (± 3 millimeters) meets USGS requirements for a primary water-stage sensor used in the operation of a streamgage. The sensor met the manufacturer’s stated accuracy specifications for water-level measurements during temperature testing at a distance of 8 feet from the target over its temperature-compensated operating range of −40 to 60 °C, except at 60 °C. At 60 °C, about half the measurements exceeded the manufacturer’s accuracy specification by not more than 0.005 feet.The sensor met the manufacturer’s stated accuracy specifications for water-level measurements during distance-accuracy testing at the tested distances from 3 to 15 feet above the water surface at the HIF.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161124","usgsCitation":"Carnley, M.V., 2016, Laboratory evaluation of the Design Analysis Associates DAA H-3613i radar water-level sensor—Results of temperature, distance, and SDI-12 tests: U.S. Geological Survey Open-File Report 2016–1124, 7 p., https://dx.doi.org/10.3133/ofr20161124. ","productDescription":"iii, 7 p.","numberOfPages":"16","onlineOnly":"Y","ipdsId":"IP-071442","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":329212,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1124/coverthb.jpg"},{"id":329213,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1124/ofr20161124.pdf","text":"Report","size":"2.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1124"}],"contact":"<p>Hydrologic Instrumentation Facility<br> U.S. Geological Survey<br> Building 2101<br> Stennis Space Center, MS 39529<br> <a href=\"http://water.usgs.gov/hif/\" data-mce-href=\"http://water.usgs.gov/hif/\">http://water.usgs.gov/hif/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Description of the Design Analysis Associates DAA H-3613i Radar Water-Level Sensor</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-09-30","noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"57f7c63be4b0bc0bec09c836","contributors":{"authors":[{"text":"Carnley, Mark V. mcarnley@usgs.gov","contributorId":2723,"corporation":false,"usgs":true,"family":"Carnley","given":"Mark","email":"mcarnley@usgs.gov","middleInitial":"V.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":645990,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70176610,"text":"ofr20161170 - 2016 - Preliminary geologic mapping of Cretaceous and Tertiary formations in the eastern part of the Little Snake River coal field, Carbon County, Wyoming","interactions":[],"lastModifiedDate":"2016-09-30T14:14:25","indexId":"ofr20161170","displayToPublicDate":"2016-09-30T13:00:00","publicationYear":"2016","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":"2016-1170","title":"Preliminary geologic mapping of Cretaceous and Tertiary formations in the eastern part of the Little Snake River coal field, Carbon County, Wyoming","docAbstract":"<p>In the 1970s and 1980s, C.S. Venable Barclay conducted geologic mapping of areas primarily underlain by Cretaceous coals in the eastern part of the Little Snake River coal field (LSR) in Carbon County, southwest Wyoming. With some exceptions, most of the mapping data were never published. Subsequently, after his retirement from the U.S. Geological Survey (USGS), his field maps and field notebooks were archived in the USGS Field Records. Due to a pending USGS coal assessment of the Little Snake River coal field area and planned geological mapping to be conducted by the Wyoming State Geological Survey, Barclay’s mapping data needed to be published to support these efforts. Subsequently, geologic maps were scanned and georeferenced into a geographic information system, and project and field notes were scanned into Portable Document Format (PDF) files. Data for seventeen 7½-minute quadrangles are presented in this report. This publication is solely intended to compile the mapping data as it was last worked on by Barclay and provides no interpretation or modification of his work.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161170","usgsCitation":"Haacke, J.E., Barclay, C.S.V., and Hettinger, R.D., 2016, Preliminary geologic mapping of Cretaceous and Tertiary formations in the eastern part of the Little Snake River coal field, Carbon County, Wyoming: U.S. Geological Survey Open-File Report 2016–1170, 9 p., https://dx.doi.org/10.3133/ofr20161170.","productDescription":"Report: iii, 9 p.; Field Notes; Metadata; Read Me; Spatial Data","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-070800","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":329139,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2016/1170/ofr20161170_Field 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Director, USGS Central Energy Resources Science Center<br>Box 25046, Mail Stop 939<br>Denver, CO 80225</p><p><a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">http://energy.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Overview of Barclay Studies</li><li>The Little Snake River Coal Field Map Data</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-09-30","noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"57f7c63be4b0bc0bec09c838","contributors":{"authors":[{"text":"Haacke, Jon E.","contributorId":86054,"corporation":false,"usgs":true,"family":"Haacke","given":"Jon E.","affiliations":[],"preferred":false,"id":649803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barclay, C. S. Venable","contributorId":174821,"corporation":false,"usgs":false,"family":"Barclay","given":"C.","email":"","middleInitial":"S. Venable","affiliations":[{"id":27516,"text":"USGS Retired, deceased","active":true,"usgs":false}],"preferred":false,"id":649804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hettinger, Robert D.","contributorId":102486,"corporation":false,"usgs":true,"family":"Hettinger","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":649805,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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